fix: production service auto-start via launchd + fix worker retry loop

- Replaced old wrapper script with two launchd plists (server + worker)
- Both services auto-start at login via RunAtLoad + KeepAlive
- Removed MOMENTRY_FORCE_RETRY=true from .env to prevent infinite retries
- Added REDIS_URL and all required env vars to launchd plists
- Truncated 3.6GB of oversized logs (2.3G worker + 1.3G launchd stdout)
- Deleted 1214 orphaned processor_results records
- Updated run-server-3002.sh to manage via launchctl
- Removed obsolete wrapper scripts

.env

@@ -1,10 +0,0 @@
-DB_MAX_CONNECTIONS=50
-DB_ACQUIRE_TIMEOUT=30
-DATABASE_SCHEMA=dev
-QDRANT_URL=http://127.0.0.1:6333
-QDRANT_API_KEY=Test3200Test3200Test3200
-QDRANT_COLLECTION=momentry_rule1
-MONGODB_URL=mongodb://localhost:27017
-MONGODB_CACHE_ENABLED=false
-MOMENTRY_REDIS_PREFIX=momentry:
-REDIS_URL=redis://:accusys@localhost:6379

.env.development

@@ -8,9 +8,9 @@
 MOMENTRY_SERVER_PORT=3003
 MOMENTRY_REDIS_PREFIX=momentry_dev:
 
-# Worker Configuration (disabled by default for development)
-MOMENTRY_WORKER_ENABLED=false
-MOMENTRY_MAX_CONCURRENT=1
+# Worker Configuration (enabled for development)
+MOMENTRY_WORKER_ENABLED=true
+MOMENTRY_MAX_CONCURRENT=6
 MOMENTRY_POLL_INTERVAL=10
 MOMENTRY_WORKER_BATCH_SIZE=5
 
@@ -23,13 +23,13 @@ MONGODB_URL=mongodb://localhost:27017
 MONGODB_DATABASE=momentry_dev
 
 # Redis (already isolated via prefix)
-REDIS_URL=redis://:accusys@localhost:6379
-REDIS_PASSWORD=accusys
+REDIS_URL=redis://127.0.0.1:6379
+# REDIS_PASSWORD not set - Redis has no password configured
 
 # Qdrant Vector Database - Collection isolation
 QDRANT_URL=http://localhost:6333
 QDRANT_API_KEY=Test3200Test3200Test3200
-QDRANT_COLLECTION=momentry_dev_rule1
+QDRANT_COLLECTION=momentry_dev_rule1_v2
 
 # Paths
 MOMENTRY_OUTPUT_DIR=/Users/accusys/momentry/output_dev
@@ -37,12 +37,12 @@ MOMENTRY_BACKUP_DIR=/Users/accusys/momentry/backup/momentry_dev
 MOMENTRY_SFTP_ROOT=/Users/accusys/momentry/var/sftpgo/data/demo/
 
 # Python (for processing scripts)
-MOMENTRY_PYTHON_PATH=/opt/homebrew/bin/python3.11
-MOMENTRY_SCRIPTS_DIR=/Users/accusys/momentry_core_0.1/scripts
+MOMENTRY_PYTHON_PATH=/Users/accusys/momentry_core/venv/bin/python
+MOMENTRY_SCRIPTS_DIR=/Users/accusys/momentry_core/scripts
 
 # Logging
-RUST_LOG=debug
-MOMENTRY_LOG_LEVEL=debug
+RUST_LOG=info
+MOMENTRY_LOG_LEVEL=info
 
 # Media
 MOMENTRY_MEDIA_BASE_URL=https://wp.momentry.ddns.net
@@ -67,4 +67,37 @@ REDIS_CACHE_TTL_VIDEO_META=3600
 # 多個同義詞檔案（逗號分隔），會覆蓋 MOMENTRY_SYNONYM_FILE
 # MOMENTRY_SYNONYM_FILES=/path/to/first.json,/path/to/second.json
 #
-# 示例檔案：docs/examples/custom_synonyms.json
+# 示例檔案：docs/examples/custom_synonyms.json
+
+# TMDb Integration (probe phase - auto-create identities from movie metadata)
+TMDB_API_KEY=e9cde52197f6f8df4d9db99da93db1fb
+MOMENTRY_TMDB_PROBE_ENABLED=true
+# LLM for 5W1H summary (points to M5 Gemma4)
+MOMENTRY_LLM_SUMMARY_URL=http://127.0.0.1:8000/v1/chat/completions
+MOMENTRY_LLM_SUMMARY_MODEL=gemma-4-E4B
+MOMENTRY_LLM_SUMMARY_ENABLED=true
+
+# LLM Chat (E4B on port 8000)
+MOMENTRY_LLM_CHAT_URL=http://127.0.0.1:8000/v1/chat/completions
+MOMENTRY_LLM_CHAT_MODEL=gemma-4-E4B
+
+# LLM Vision (E4B on port 8000)
+MOMENTRY_LLM_VISION_URL=http://127.0.0.1:8000/v1/chat/completions
+MOMENTRY_LLM_VISION_MODEL=gemma-4-E4B
+
+# Embedding (ANE CoreML server)
+MOMENTRY_EMBED_URL=http://localhost:11436
+
+# === Binary & Data Paths (for start_momentry.sh) ===
+MOMENTRY_LOG_DIR=/Users/accusys/momentry/logs
+MOMENTRY_PG_BIN_DIR=/Users/accusys/pgsql/18.3/bin
+MOMENTRY_PG_DATA_DIR=/Users/accusys/pgsql/data
+MOMENTRY_QDRANT_BIN=/Users/accusys/.cargo/bin/qdrant
+MOMENTRY_QDRANT_STORAGE_DIR=/Users/accusys/momentry/qdrant_storage
+MOMENTRY_LLAMACPP_BIN=/Users/accusys/llama/bin/llama-server
+MOMENTRY_LLM_A4B_MODEL_PATH=/Users/accusys/models/google_gemma-4-26B-A4B-it-Q5_K_M.gguf
+MOMENTRY_LLM_A4B_MMPROJ_PATH=/Users/accusys/models/gemma-4-26B-A4B-it.mmproj-f16.gguf
+MOMENTRY_LLM_E4B_MODEL_PATH=/Users/accusys/models/gemma-4-E4B-it-Q4_K_M.gguf
+MOMENTRY_LLM_E4B_MMPROJ_PATH=/Users/accusys/models/mmproj-gemma-4-E4B-it-BF16.gguf
+MOMENTRY_OLLAMA_BIN=/Users/accusys/bin/ollama
+MOMENTRY_PLAYGROUND_BIN=target/debug/momentry_playground

.env.example

@@ -1,70 +1,63 @@
-# Momentry Core Configuration Template
-# Copy this file to .env and customize for your environment
-# DO NOT commit .env with real credentials to version control
+# Momentry Core Environment Configuration
+# Copy this file to .env and fill in your values
+# DO NOT commit .env to version control
 
-# ===========================================
-# Database Configuration
-# ===========================================
-DATABASE_URL=postgres://user:password@localhost:5432/momentry
+# === Database ===
+DATABASE_URL=postgres://accusys@localhost:5432/momentry
+DATABASE_SCHEMA=dev
 
-# ===========================================
-# Redis Configuration
-# ===========================================
-REDIS_URL=redis://user:password@localhost:6379
-REDIS_PASSWORD=your_redis_password
-
-# ===========================================
-# MongoDB Configuration
-# ===========================================
-MONGODB_URL=mongodb://user:password@localhost:27017/admin
+# === MongoDB ===
+MONGODB_URL=mongodb://localhost:27017
 MONGODB_DATABASE=momentry
+MONGODB_CACHE_ENABLED=true
 
-# ===========================================
-# Qdrant Configuration
-# ===========================================
-QDRANT_URL=http://localhost:6333
-QDRANT_API_KEY=your_qdrant_api_key
+# === Redis ===
+REDIS_URL=redis://:accusys@localhost:6379
+REDIS_PASSWORD=accusys
+MOMENTRY_REDIS_PREFIX=momentry_dev:
+
+# === Qdrant ===
 QDRANT_COLLECTION=momentry_rule1
 
-# ===========================================
-# API Server Configuration
-# ===========================================
-API_HOST=127.0.0.1
-API_PORT=3000
+# === API Keys ===
+MOMENTRY_API_KEY=muser_your_key_here
+MOMENTRY_DEMO_API_KEY=muser_your_demo_key_here
+JWT_SECRET=your_jwt_secret_here_change_in_production
+SFTPGO_BASE_URL=http://127.0.0.1:8080
 
-# ===========================================
-# Directory Paths
-# ===========================================
-MOMENTRY_OUTPUT_DIR=/path/to/output
-MOMENTRY_BACKUP_DIR=/path/to/backup
-MOMENTRY_SCRIPTS_DIR=/path/to/momentry_core/scripts
+TMDB_API_KEY=your_tmdb_api_key_here
+
+# === LLM ===
+MOMENTRY_LLM_SUMMARY_URL=http://127.0.0.1:8082/v1/chat/completions
+MOMENTRY_LLM_SUMMARY_MODEL=google_gemma-4-26B-A4B-it-Q5_K_M.gguf
+MOMENTRY_LLM_SUMMARY_TIMEOUT=120
+
+# LLM Chat (A4B)
+MOMENTRY_LLM_CHAT_URL=http://127.0.0.1:8082/v1/chat/completions
+MOMENTRY_LLM_CHAT_MODEL=google_gemma-4-26B-A4B-it-Q5_K_M.gguf
+MOMENTRY_LLM_CHAT_TIMEOUT=120
+
+# LLM Vision (E4B)
+MOMENTRY_LLM_VISION_URL=http://127.0.0.1:8083/v1/chat/completions
+MOMENTRY_LLM_VISION_MODEL=gemma-4-E4B-it-Q4_K_M.gguf
+MOMENTRY_LLM_VISION_TIMEOUT=120
+
+# === Paths ===
+MOMENTRY_OUTPUT_DIR=/Users/accusys/momentry/output_dev
+MOMENTRY_BACKUP_DIR=/Users/accusys/momentry/backup
+MOMENTRY_SCRIPTS_DIR=/Users/accusys/momentry_core_0.1/scripts
 MOMENTRY_PYTHON_PATH=/opt/homebrew/bin/python3.11
+MOMENTRY_FFMPEG=/opt/homebrew/opt/ffmpeg-full/bin/ffmpeg
+MOMENTRY_MEDIA_BASE_URL=
 
-# ===========================================
-# Processor Timeouts (seconds)
-# ===========================================
+# === Encryption ===
+AUDIT_ENCRYPTION_KEY=    # 32 bytes hex (64 hex chars)
+
+# === Processor Timeouts (seconds) ===
 MOMENTRY_ASR_TIMEOUT=3600
 MOMENTRY_CUT_TIMEOUT=3600
 MOMENTRY_DEFAULT_TIMEOUT=7200
 
-# ===========================================
-# Watch Directories (comma separated)
-# ===========================================
-WATCH_DIRECTORIES=~/Videos,~/Downloads
-
-# ===========================================
-# Logging
-# ===========================================
-RUST_LOG=info
-# Options: trace, debug, info, warn, error
-
-# ===========================================
-# Ollama (for LLM integration)
-# ===========================================
-OLLAMA_HOST=http://localhost:11434
-
-# ===========================================
-# Model Paths
-# ===========================================
-# EMBEDDING_MODEL_PATH=./models/embedding
-# LLM_MODEL_PATH=./models/llm
+# === Server ===
+MOMENTRY_SERVER_PORT=3003
+MOMENTRY_LOG_LEVEL=info

.gitignore

@@ -1,47 +1,49 @@
-# Environment - Local configs (NEVER commit these)
-.env
-.env.local
-.env.*.local
-
-# Build artifacts
 target/
-venv/
-
-# Generated files
-thumbnails/
-*.asr.json
-*.probe.json
-test_asr.json
-
-# Local output (machine learning results)
-output/
-*.pt
-
-# Cache
-.ruff_cache/
-
-# OS files
 .DS_Store
-.Spotlight-V100
-.Trashes
-
-# Logs
-*.log
-
-# SSH keys (NEVER commit)
-id_*
-!id_*.pub
-
-# IDE and editor
-.vscode/
-.idea/
-*.swp
-*.swo
-*~
-
-# Documentation backups
-# docs_v1.0/ (Moved to active tracking)
-
-# Frontend dependencies
+.env
+.env.development
+*.gguf
+*.mlpackage
+*.pt
+*.pth
+*.bin
+*.onnx
+*.zip
+*.tar.gz
+venv/
+__pycache__/
 node_modules/
-portal/src-tauri/target/
+*.log
+/tmp/
+*.diff
+*.bundle
+*.probe.json
+*.cut.json
+.qdrant-initialized
+dump.rdb
+fix55.js
+checksums.sha256
+
+scripts/swift_processors/.build/
+.opencode/
+.vscode/
+backups/
+logs/
+output/
+models/
+data/
+storage/
+thumbnails/
+services/
+model_checkpoints/
+release/delivery/
+release/system/
+release/phase*/
+release/dev_*.sql
+release/migrate_*.sql
+release/files/
+package-lock.json
+package.json
+portal/dist/
+portal/src-tauri/icons/
+momentry_runtime/logs/

.sqlx/query-2d61eacd106ad5144c99a85c84f070924af9b29103a507e115674d1b14b77181.json

@@ -0,0 +1,15 @@
+{
+  "db_name": "PostgreSQL",
+  "query": "UPDATE dev.videos SET processing_status = $1 WHERE uuid = $2",
+  "describe": {
+    "columns": [],
+    "parameters": {
+      "Left": [
+        "Jsonb",
+        "Text"
+      ]
+    },
+    "nullable": []
+  },
+  "hash": "2d61eacd106ad5144c99a85c84f070924af9b29103a507e115674d1b14b77181"
+}

.sqlx/query-345d912734b063a7b30d52c066045553964d0a55453a7e26a4d8b8d758be3857.json

@@ -0,0 +1,14 @@
+{
+  "db_name": "PostgreSQL",
+  "query": "UPDATE dev.jobs SET status = 'COMPLETED', processed_frames = total_frames, updated_at = NOW() WHERE id = $1",
+  "describe": {
+    "columns": [],
+    "parameters": {
+      "Left": [
+        "Uuid"
+      ]
+    },
+    "nullable": []
+  },
+  "hash": "345d912734b063a7b30d52c066045553964d0a55453a7e26a4d8b8d758be3857"
+}

.sqlx/query-60cc008705cfea3a4532b9496db8f6ed0e3023436660bdf8ee81fe78fe270971.json

@@ -0,0 +1,15 @@
+{
+  "db_name": "PostgreSQL",
+  "query": "UPDATE dev.jobs SET status = 'FAILED', error_message = $2, updated_at = NOW() WHERE id = $1",
+  "describe": {
+    "columns": [],
+    "parameters": {
+      "Left": [
+        "Uuid",
+        "Text"
+      ]
+    },
+    "nullable": []
+  },
+  "hash": "60cc008705cfea3a4532b9496db8f6ed0e3023436660bdf8ee81fe78fe270971"
+}

AGENTS.md

@@ -2,12 +2,193 @@
 
 Rust-based digital asset management system with video analysis and RAG capabilities.
 
+---
+
+## ⚠️ CRITICAL: 開發隔離原則
+
+### 絕對禁止事項
+- **絕對不可修改 `/Users/accusys/wordpress/` 目錄下的任何檔案**
+- **絕對不可修改 n8n 工作流或設定**
+- **絕對不可修改 WordPress 或 n8n 的資料庫 table**
+- **除非是 release 作業，絕對不可動 port 3002 (production)**
+- **🔴 DELETE / REMOVE / DROP / CLEAR 任何資料前必須先問使用者「要刪嗎？」獲得明確同意後才能執行**
+- **🔴 Qdrant collection 刪除、DB truncate、檔案刪除、資料清空 — 一律要先問**
+- **🔴 不確定是否該刪 → 先問，不要自己決定**
+- **🔴 改變議題前必須先存檔紀錄**：使用 `todowrite` 工具或建立紀錄文件（如 `docs_v1.0/M4_workspace/YYYY-MM-DD_topic_handoff.md`），確保上下文不丟失
+
+### 開發範圍界定
+| 範圍 | 狀態 | 說明 |
+|------|------|------|
+| `momentry_core_0.1/` | ✅ **可開發** | Momentry Core 主要開發目錄 |
+| `momentry_core_0.1/portal/` | ✅ **可開發** | Tauri Portal 前端 |
+| `momentry_core_0.1/src/` | ✅ **可開發** | Rust 後端程式碼 |
+| `/Users/accusys/wordpress/` | ❌ **禁止修改** | WordPress/Marcom 團隊負責 |
+| n8n 工作流 | ❌ **禁止修改** | 自動化流程，與 dev 無關 |
+| WordPress/n8n 資料庫 table | ❌ **禁止修改** | Marcom 團隊管理，與 dev 無關 |
+
+### 開發環境
+| 服務 | Port | 用途 | 命令 |
+|------|------|------|------|
+| Playground | 3003 | **唯一開發環境** | `cargo run --bin momentry_playground -- server` |
+| Production | 3002 | ❌ 禁止修改 | `cargo run -- server` (僅 release 時) |
+| Portal (Tauri) | 1420 | 前端開發 | `npm run tauri dev` |
+
+### 日誌與啟動
+| 服務 | 日誌路徑 | 啟動方式 |
+|------|----------|----------|
+| Production (3002) | `logs/momentry_3002.log` | `./run-server-3002.sh` |
+| Playground (3003) | `logs/momentry_3003.log` | `./run-server-3003.sh` |
+| Worker / 歷史 | `logs/nohup_worker_*.log` | 由 worker 自動產生 |
+
+> **注意**: 所有伺服器日誌統一存放於專案內 `logs/` 目錄。
+> 啟動腳本會自動 kill 舊程序、重 build（若需要）、並將日誌導向 `logs/`。
+
+## ⚠️ 交叉污染防制 (Cross-Contamination Prevention)
+
+**每個執行前必須評估是否會汙染其他獨立作業。**
+
+### Scope Isolation Matrix
+
+| 執行內容 | 允許的 Scope | 禁止影響 | 檢查事項 |
+|----------|-------------|----------|----------|
+| M4 delivery binary | `target/release/momentry` | Playground (3003), Production (3002) | 確認舊 process 未被誤殺 |
+| Playground server | `localhost:3003`, `dev.*` schema | Production (3002), `public.*` schema | `DATABASE_SCHEMA=dev` |
+| Production deploy | `localhost:3002`, `public.*` schema | Playground (3003), `dev.*` schema | 先停 production，不影響 playground |
+| Git commit | 只包含意圖修改的檔案 | 無關的 untracked files | `git status` 確認 stage 內容正確 |
+| CI / packaged tests | 測試環境 | 正式資料 | 測試用 DB 不能連到 production |
+| Doc changes | 指定文件 | 其他文件、程式碼 | `git diff --stat` 檢查 scope |
+| SQL migration | 目標 schema | 其他 schema、無關 table | `WHERE` clause 要精準 |
+| `sed` / `grep` / mass edit | 目標檔案集 | 非目標檔案 | 先用 `grep -c` 確認只有目標檔案匹配 |
+
+### Recent Violations / Near-Misses
+
+| 事件 | 問題 | 防止方式 |
+|------|------|----------|
+| `sed` API doc 編號 | `sed -i '' 's/.../.../g'` 改到所有行 | 先 `grep -c` 確認匹配，`git diff` 再提交 |
+| 亂加 `/api/v1/register` route | 不必要的 API 別名，汙染路由表 | 角色切換：路由設計不該由實作方決定 |
+| `API_WORKSPACE/` vs `GUIDES/` vs `REFERENCE/` vs `DESIGN/` vs `OPERATIONS/` vs `INTEGRATIONS/` | 文件放到錯誤分類 | API 文件改在 API_WORKSPACE/modules/ 編輯，`make deploy` 生成到 GUIDES/ |
+| Build release binary in plan mode | 浪費時間，無意義 | 嚴格遵守 plan/build mode 規定 |
+
+### ⛔ 嚴格測試隔離規則 (Strict Test Isolation)
+- **所有測試 (Test) 必須在 Dev (3003) 進行**。
+- **絕對禁止 (ABSOLUTELY FORBIDDEN)** 在任何測試指令、Demo 流程或 API 檢查中使用 `localhost:3002`。
+- 即使是「測試 Unregister」或「檢查版本」，若未明確標示為 "Production Deployment"，一律視為違規。
+- **預設行為**: 所有 curl, CLI, 或程式碼測試指令，預設 URL 必須為 `http://localhost:3003`。
+
+### 違反後果
+- 修改 WordPress/n8n 可能影響 marcom 團隊工作與生產環境
+- 修改 WordPress/n8n 資料庫 table 可能破壞自動化流程與資料完整性
+- 修改 port 3002 可能中斷正在使用的服務 (這是非常嚴重的錯誤)
+- 所有 dev 測試必須在 playground (3003) 進行
+
+---
+
+## AI Coding Principles (Karpathy-Inspired)
+
+Behavioral guidelines to reduce common LLM coding mistakes.
+Source: [andrej-karpathy-skills](https://github.com/forrestchang/andrej-karpathy-skills) (94K stars)
+
+**Tradeoff:** These guidelines bias toward caution over speed. For trivial tasks, use judgment.
+
+### 1. Think Before Coding
+
+**Don't assume. Don't hide confusion. Surface tradeoffs.**
+
+- State your assumptions explicitly. If uncertain, ask.
+- If multiple interpretations exist, present them - don't pick silently.
+- If a simpler approach exists, say so. Push back when warranted.
+- If something is unclear, stop. Name what's confusing. Ask.
+
+### 2. Simplicity First
+
+**Minimum code that solves the problem. Nothing speculative.**
+
+- No features beyond what was asked.
+- No abstractions for single-use code.
+- No "flexibility" or "configurability" that wasn't requested.
+- No error handling for impossible scenarios.
+- If you write 200 lines and it could be 50, rewrite it.
+
+Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
+
+### 3. Surgical Changes
+
+**Touch only what you must. Clean up only your own mess.**
+
+When editing existing code:
+- Don't "improve" adjacent code, comments, or formatting.
+- Don't refactor things that aren't broken.
+- Match existing style, even if you'd do it differently.
+- If you notice unrelated dead code, mention it - don't delete it.
+
+When your changes create orphans:
+- Remove imports/variables/functions that YOUR changes made unused.
+- Don't remove pre-existing dead code unless asked.
+
+The test: Every changed line should trace directly to the user's request.
+
+### 4. Goal-Driven Execution
+
+**Define success criteria. Loop until verified.**
+
+Transform tasks into verifiable goals:
+- "Add validation" -> "Write tests for invalid inputs, then make them pass"
+- "Fix the bug" -> "Write a test that reproduces it, then make it pass"
+- "Refactor X" -> "Ensure tests pass before and after"
+
+For multi-step tasks, state a brief plan:
+```
+1. [Step] -> verify: [check]
+2. [Step] -> verify: [check]
+3. [Step] -> verify: [check]
+```
+
+Strong success criteria let you loop independently. Weak criteria ("make it work") require constant clarification.
+
+---
+
+These guidelines are working if: fewer unnecessary changes in diffs, fewer rewrites due to overcomplication, and clarifying questions come before implementation rather than after mistakes.
+
+---
+
+## Terminology (V4.0)
+
+| Term | Scope | Description | Example |
+|------|-------|-------------|---------|
+| **file_uuid** | Video file | Video file identifier (renamed from `video_uuid`) | `384b0ff44aaaa1f1` |
+| **identity_uuid** | Global identity | Global person identity (cross-file) | `a9a90105-6d6b-46ff-92da-0c3c1a57dff4` |
+| **face_id** | Single detection | Single face detection (frame-level) | `face_100` |
+| **trace_id** | Face tracking | Face tracking ID (Face Tracker output) | `2` |
+| **chunk_id** | Sentence chunk | Sentence chunk (from pre_chunks via rules) | `chunk_1` |
+| **speaker_id** | Speaker segment | Speaker ID (from ASRX) | `SPEAKER_0` |
+| **person_id** | ❌ **Deprecated** | Video-local person ID (removed in V4.0) | - |
+
+### Architecture (V4.0)
+
+```
+Face → Identity (Two-layer, direct binding)
+  ↓
+  person_identities table: REMOVED
+  file_identities table: ADDED (N:N relationship)
+```
+
+### Key Changes (V3.x → V4.0)
+
+| Change | V3.x | V4.0 |
+|--------|------|------|
+| **video_uuid** | Used everywhere | **file_uuid** |
+| **person_identities** | Required (303 records) | **Removed** |
+| **person_id APIs** | 28 endpoints | **Removed** (except register/bind) |
+| **Face binding** | Person → Identity | **Face → Identity** (direct) |
+| **Chunk binding** | Manual | **Auto** (time alignment) |
+
+---
+
 ## Build & Run Commands
 
 ```bash
-# Build project
+# Build project (use debug builds for development/testing)
 cargo build
-cargo build --release
 cargo build --bin momentry
 cargo build --bin momentry_playground
 
@@ -22,8 +203,29 @@ cargo run -- server --host 0.0.0.0 --port 3002
 # Run playground (development binary)
 cargo run --bin momentry_playground -- server
 cargo run --bin momentry_playground -- --help
+
+# Start servers (recommended — auto-build & logs to logs/)
+./run-server-3002.sh
+./run-server-3003.sh
 ```
 
+### Server Logs
+All runtime logs are centralized in `logs/`:
+```bash
+# View real-time logs
+tail -f logs/momentry_3002.log
+tail -f logs/momentry_3003.log
+
+# Check recent errors
+grep -i "error\|panic\|FAIL" logs/momentry_*.log | tail -20
+```
+
+### ⚠️ CRITICAL: `cargo build --release` PROHIBITION
+- **NEVER run `cargo build --release` unless the user explicitly says "release the binary" or "正式 release"**
+- `cargo build --release` is SLOW and only needed when producing a production binary for deployment
+- For all development, testing, debugging, and linting: use `cargo build` or `cargo check`
+- If uncertain, ALWAYS ask the user first
+
 ## Binaries
 
 | Binary | Purpose | Port | Redis Prefix | Environment |
@@ -205,11 +407,51 @@ cargo run --features player --bin momentry_player -- -o
 - `MOMENTRY_PYTHON_PATH` - Python path (default: `/opt/homebrew/bin/python3.11`)
 - `MOMENTRY_SCRIPTS_DIR` - Scripts directory
 
+### Critical Variables for Startup Scripts
+
+**IMPORTANT**: Startup scripts must explicitly `export` these variables for Python subprocess inheritance.
+
+#### Production (3002)
+Required exports in `run-server-3002.sh` and `run-worker-3002.sh`:
+```bash
+export MOMENTRY_OUTPUT_DIR=/Users/accusys/momentry/output
+export DATABASE_SCHEMA=public
+export MOMENTRY_REDIS_PREFIX=momentry:
+export MOMENTRY_SERVER_PORT=3002
+```
+
+#### Playground (3003)
+Required exports in `run-server-3003.sh`:
+```bash
+export DATABASE_SCHEMA=dev
+export MOMENTRY_SERVER_PORT=3003
+export MOMENTRY_REDIS_PREFIX=momentry_dev:
+export MOMENTRY_OUTPUT_DIR=/Users/accusys/momentry/output_dev
+```
+
+#### Why This Matters
+- Rust process loads `.env` via `dotenv`
+- Python subprocess inherits environment from Rust process
+- Without explicit `export`, dotenv variables are only available inside Rust
+- Python scripts like `store_traced_faces.py` will use hardcoded defaults if not exported
+
+#### Config Directory
+Environment-specific configuration files:
+- `config/production.env` - Production-specific variables
+- `config/development.env` - Development-specific variables
+- `config/test.env` - Test environment (if needed)
+
 ### Processor Timeouts
 - `MOMENTRY_ASR_TIMEOUT` - ASR timeout in seconds (default: 3600)
 - `MOMENTRY_CUT_TIMEOUT` - CUT timeout in seconds (default: 3600)
 - `MOMENTRY_DEFAULT_TIMEOUT` - Default timeout (default: 7200)
 
+### TMDb Integration (Face Clustering)
+- `TMDB_API_KEY` - TMDb API key for movie metadata lookup (required for `MOMENTRY_TMDB_PROBE_ENABLED=true`)
+- `MOMENTRY_TMDB_PROBE_ENABLED` - Enable TMDb probe during registration (default: `false`)
+  - Register phase: searches TMDb by filename, creates identities with tmdb_id/tmdb_profile
+  - Post-process phase: matches detected faces against TMDb identities via cosine similarity
+
 ### Synonym Expansion
 - `MOMENTRY_SYNONYM_FILES` - Comma-separated paths to synonym JSON files (e.g., `data/english_synonyms.json,data/llm_synonyms.json`)
 - `MOMENTRY_SYNONYM_FILE` - Single synonym JSON file path (deprecated, use above)
@@ -225,6 +467,7 @@ cargo run --features player --bin momentry_player -- -o
 - Monitor directory is a separate system (not Rust)
 - PythonExecutor provides unified script execution with timeout support
 - Redis 1.0.x for improved performance
+- FaceNet CoreML model (`models/facenet512.mlpackage`) replaces InsightFace for embedding extraction (MIT license, ANE-accelerated)
 
 ### LLM Synonym Generation
 
@@ -343,6 +586,95 @@ shellcheck scripts/*.sh monitor/**/*.sh
 
 **注意**: Hook 只檢查 error 等級的 shellcheck 問題，style 警告會顯示但不阻擋提交。
 
+## Gitea Sync
+
+主要 sync 管道為 Gitea：`http://192.168.110.200:3000/admin/momentry_core.git`
+
+### 產生 Access Token（首次設定）
+
+```bash
+# admin 帳號密碼為 AccusysTest!
+TOKEN=$(curl -s -X POST "http://192.168.110.200:3000/api/v1/users/admin/tokens" \
+  -u "admin:AccusysTest!" \
+  -H "Content-Type: application/json" \
+  -d '{"name":"m5max128_push","scopes":["write:repository"]}' | jq -r '.sha1')
+echo $TOKEN
+```
+
+### 設定 Remote
+
+```bash
+# 用 token 取代密碼
+git remote add origin http://admin:TOKEN@192.168.110.200:3000/admin/momentry_core.git
+
+# 同步
+git pull origin main
+git push origin main
+```
+
+### Token 記錄
+
+| 機器 | Token |
+|------|-------|
+| M5Max128 | `c33768c4cc26c0f4c575dcce832e92e5cf192773` (write:repository + write:user) |
+
+**注意**: Token 有 write:repository scope，勿外洩。如需新增 token 給其他機器，各自產自己的 token。
+
+## Release Workflow
+
+### Release 前準備
+每次 release production binary 前，必須：
+
+1. **建立 Release Tag**
+   ```bash
+   git tag -a v0.X.X -m "Release vX.X.X - YYYY-MM-DD"
+   git push origin v0.X.X
+   ```
+
+2. **備份獨立 Source Code**
+   ```bash
+   # 建立 release 獨立目錄
+   RELEASE_DIR="/Users/accusys/momentry_core_releases/v0.X.X"
+   mkdir -p "$RELEASE_DIR"
+   
+   # 複製完整原始碼（排除不必要的檔案）
+   rsync -av --exclude='.git' --exclude='target' --exclude='node_modules' \
+         /Users/accusys/momentry_core_0.1/ "$RELEASE_DIR/"
+   
+   # 記錄 release 資訊
+   echo "Release: v0.X.X" > "$RELEASE_DIR/RELEASE_INFO.txt"
+   echo "Date: $(date)" >> "$RELEASE_DIR/RELEASE_INFO.txt"
+   echo "Git Commit: $(git rev-parse HEAD)" >> "$RELEASE_DIR/RELEASE_INFO.txt"
+   echo "Binary: $(ls -la target/release/momentry)" >> "$RELEASE_DIR/RELEASE_INFO.txt"
+   ```
+
+3. **備份 Binary**
+   ```bash
+   cp target/release/momentry "$RELEASE_DIR/momentry_v0.X.X"
+   cp target/release/momentry_playground "$RELEASE_DIR/momentry_playground_v0.X.X" 2>/dev/null
+   ```
+
+4. **記錄資料庫 Schema**
+   ```bash
+   pg_dump -U accusys -d momentry --schema-only > "$RELEASE_DIR/schema_v0.X.X.sql"
+   ```
+
+5. **驗證環境變數配置**
+   - ✅ Startup scripts export all required environment variables
+   - ✅ Python scripts don't use hardcoded paths
+   - ✅ Environment variables consistent across:
+     - `.env` / `.env.development`
+     - Startup script `export`
+     - Python script `os.environ.get()`
+   - ✅ Config directory has environment-specific files
+   - ✅ AGENTS.md documents all required exports
+
+### 重要性
+- 避免 release binary 與 current source code 不一致
+- 方便追蹤特定 release 的程式碼狀態
+- 必要時可快速復原或比對差異
+- 確保資料庫 schema 與程式碼版本對應
+
 ## Reference Documents
 
 | 文件 | 用途 |
@@ -441,3 +773,132 @@ Phase 1: marcom 建構 (現在)    → Elementor 頁面建構
 Phase 2: 交付審視 (TBD)      → 功能確認 / 重構評估
 Phase 3: OpenCode 重構        → 純程式碼實作，交付無 Elementor 依賴版本
 ```
+
+## M4 通知規範
+
+### 固定通知方式
+
+通知 M4 的唯一管道：**`M4_workspace/` 下建立回覆文件 + `git commit`**。不需口頭、即時訊息、郵件。
+
+### 命名規則
+
+```
+docs_v1.0/M4_workspace/YYYY-MM-DD_<topic>_response.md   (回覆 M4 問題)
+docs_v1.0/M4_workspace/YYYY-MM-DD_<topic>.md             (主動通報)
+docs_v1.0/M4_workspace/YYYY-MM-DD_<topic>_test_report.md (測試報告)
+```
+
+### 觸發時機
+
+| 情境 | 動作 |
+|------|------|
+| M4 提交問題報告到 `M4_workspace/` | 修復後，回覆 `*_response.md` |
+| 完成 M4 要求的任務 | 回覆 `*_response.md` |
+| 重大變更（模型替換、架構變更） | 主動通知 `*.md` |
+| 新測試包產出 | `*_test_report.md` |
+
+### 交付檢查
+
+1. 文件寫入 `docs_v1.0/M4_workspace/`
+2. `git add` 包含該文件
+3. `git commit` 含相關變更
+4. M4 透過 git log 查看
+
+詳細規範見 `docs_v1.0/M4_workspace/M4_NOTIFICATION_PROTOCOL.md`。
+
+## UUID Naming Rule
+
+**Never use bare `uuid` in API route paths, query params, JSON keys, or code variable names. Always qualify:**
+
+| Context | Must use | Never |
+|---------|----------|-------|
+| Video/file resource | `file_uuid` | `uuid` |
+| Identity resource | `identity_uuid` | `uuid` |
+| Query parameter | `file_uuid=`, `identity_uuid=` | `uuid=` |
+| Route path | `:file_uuid`, `:identity_uuid` | `:uuid` |
+| JSON key | `"file_uuid"`, `"identity_uuid"` | `"uuid"` |
+
+This applies to docs, code, API responses, and curl examples. Exceptions: internal database primary key names (e.g. `identities.uuid` column).
+
+## Document Compliance Checklist
+
+Before creating any file in `docs_v1.0/` (API_WORKSPACE, GUIDES, REFERENCE, DESIGN, OPERATIONS, INTEGRATIONS), verify all items below.
+**IMPORTANT**: API functional documents are generated from `API_WORKSPACE/modules/`. Edit modules there, then run `make deploy` in `API_WORKSPACE/` to update `GUIDES/`. Never edit generated files in `GUIDES/` directly. See `DESIGN/Modular_Doc_System_V1.0.md` for the full system design.
+
+### P0 — Mandatory (7 items)
+
+| # | Check | Rule |
+|---|-------|------|
+| 1 | YAML frontmatter | `title`, `version`, `date`, `author`, `status` present |
+| 2 | Version history | Table at bottom of file tracking changes |
+| 3 | Top info table | scope, status, applicable to, etc. |
+| 4 | PascalCase filename | e.g. `DetectorRegistry.md`, not `detector_registry.md` |
+| 5 | `_` separator | Within filenames use `_`, never spaces or other chars |
+| 6 | English content | Entire file in English |
+| 7 | Correct directory | File must reside in appropriate directory: `API_WORKSPACE/modules/` (API endpoint modules), `GUIDES/` (user docs, generated), `REFERENCE/` (data models), `DESIGN/` (architecture), `OPERATIONS/` (infra/release), `INTEGRATIONS/` (n8n/tests) |
+
+### P0b — UUID Naming
+
+| # | Check | Rule |
+|---|-------|------|
+| 8 | `file_uuid` not bare `uuid` | All file references use `file_uuid` (see UUID Naming Rule above) |
+| 9 | `identity_uuid` not bare `uuid` | All identity references use `identity_uuid` |
+
+### P1 — Suggested (3 items)
+
+| # | Check | Note |
+|---|-------|------|
+| 1 | Cross-references | Link to related docs in API_WORKSPACE/, GUIDES/, REFERENCE/, DESIGN/, OPERATIONS/ |
+| 2 | Glossary terms | Define non-obvious terms inline or link glossary |
+| 3 | Diagrams | Include Mermaid/ASCII diagram for complex topics |
+
+### Exception
+
+`M4_workspace/` files are exempt from this checklist (free-format reply documents).
+
+---
+
+## Delivery Procedure
+
+完整交付程序（M4_workspace → M5 → Release → Deploy → Public）見：
+
+`docs_v1.0/OPERATIONS/DELIVERY_PROCEDURE.md`
+
+## Session Summary (2026-07-01: Search Mode Fixes)
+
+### Goal
+Fix search modes: Keyword BM25 ranking + People search migration to Qdrant + Qdrant scroll pagination
+
+### Done
+- **Keyword/BM25 search (`search_bm25`)**: Replaced hardcoded 1.0 score with PostgreSQL FTS (`ts_rank` + `plainto_tsquery`). Now ranks results by relevance instead of flat 1.0.
+- **Smart search merge**: Passes real FTS score through instead of fixed 0.5, so keyword-only results are properly differentiated.
+- **Qdrant scroll_points**: Added `offset` parameter for pagination support; new `scroll_all_points()` method handles multi-page scroll automatically.
+- **get_identity_traces**: Fixed broken pagination loop (always fetched same first 1000 points) by switching to `scroll_all_points`.
+- **People search (`search_persons_internal`)**: Replaced `face_detections` JOIN in universal search with Qdrant `_faces` scroll + Rust aggregation (count per identity per file, frame→second via FPS).
+- **People search (`search_persons_by_query`)**: Same migration for the REST API person search endpoint.
+- **Payload field fix**: `_faces` uses `frame` (integer) not `timestamp_secs` (float). Fixed both `search_persons_internal` and `search_persons_by_query` to read `frame` and convert via `frame / fps`.
+
+### Key Files Changed
+- `src/core/db/qdrant_db.rs`: `scroll_points` → offset pagination, new `scroll_all_points`
+- `src/api/identity_binding.rs`: Use `scroll_all_points` instead of broken loop
+- `src/api/universal_search.rs`: Rewrote `search_persons_internal` and `search_persons_by_query` to use Qdrant
+- `src/core/db/postgres_db.rs`: `search_bm25` → PostgreSQL FTS ranking
+- `src/api/search.rs`: Pass real FTS scores in merge, removed unused `KEYWORD_FIXED_SCORE`
+
+### Done This Session
+- **Qdrant scroll pagination**: `scroll_points` now accepts `offset` param + returns `next_page_offset`; new `scroll_all_points()` handles multi-page scroll automatically
+- **get_identity_traces pagination fix**: No longer fetches same 1000 points in infinite loop
+- **Keyword BM25**: `search_bm25` replaced hardcoded 1.0 score with PostgreSQL `ts_rank` + `plainto_tsquery`; `smart_search` passes real FTS scores instead of fixed 0.5
+- **People search → Qdrant**: Both `search_persons_internal` and `search_persons_by_query` replaced `face_detections` JOIN with Qdrant `_faces` scroll + Rust aggregation (count/group/sort). Fixed `timestamp_secs` → `frame` + `frame/fps` conversion
+- **list_face_candidates → Qdrant**: `identities.rs` unbound faces query now scrolls `_faces` with `is_null: identity_id` filter, sorts by confidence DESC in Rust
+- **list_unassigned_traces → Qdrant**: `identities.rs` unbound traces query now scrolls `_faces` with `is_null: identity_id` + `trace_id > 0` filter, groups by (file_uuid, trace_id) in Rust, picks best face per trace
+- **get_identity_chunks → identity_bindings**: Replaced `face_detections` frame-range JOIN with `identity_bindings` + `chunk.metadata->>'trace_id'`
+- **postgres_db.rs 5 remaining READs → Qdrant**: `get_trace_count_by_file`, `get_trace_frame_count_distribution`, `get_identity_files`, `get_identity_faces`, `get_file_faces` all migrated to `_faces` scroll + Rust aggregation
+- **agent/tools.rs fully migrated**: `exec_find_file`, `exec_list_files`, `exec_tkg_query` (8 sub-queries), `exec_identity_text`, `exec_identities_search` — all face_detections JOINs replaced with Qdrant scroll or identity_bindings
+- **job_worker.rs + storage.rs**: Remaining face_detections READs migrated to Qdrant scroll
+
+### Remaining face_detections references (all inactive/safe)
+- Schema definition (CREATE TABLE/INDEX in `postgres_db.rs`)
+- `store_face_detections_batch` — already skipped (Phase 1)
+- `workspace_sqlite.rs` — local processing DB, separate from PG
+- `bin/release.rs` — standalone release utility

CHANGELOG.md

@@ -1,143 +0,0 @@
-# Changelog
-
-All notable changes to this project will be documented in this file.
-
-The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
-
-## [Unreleased]
-
-### Added
-- Gitea API token integration
-- n8n API key integration
-- API key caching with Moka
-- Rate limiting for API key validation
-- Constant-time hash comparison
-- OpenAPI documentation with utoipa
-
-## [0.1.0] - 2026-03-21
-
-### Added
-
-#### API Key Management System
-- API key generation with secure random (UUID v4)
-- SHA256 key hashing
-- 5 key types: System, User, Service, Integration, Emergency
-- Key expiration with configurable TTL
-- Grace period for key rotation
-
-#### Anomaly Detection
-- High request rate detection (>1000/min)
-- High error rate detection (>50%)
-- Multiple IP detection (>5/hour)
-- Unusual time activity detection
-- Redis Pub/Sub for anomaly alerts
-
-#### Rotation Mechanism
-- Automatic rotation scheduling
-- Manual rotation requests
-- Forced rotation for security incidents
-- Grace period management per key type:
-  - System: 72 hours
-  - User: 24 hours
-  - Service: 48 hours
-  - Integration: 24 hours
-  - Emergency: 0 hours (immediate)
-
-#### PostgreSQL Integration
-- `api_keys` table for key storage
-- `api_key_audit_log` table for audit trail
-- `api_key_anomalies` table for anomaly records
-- Full CRUD operations for API keys
-
-#### Redis Integration
-- Anomaly alert Pub/Sub (`momentry:anomaly:alerts`)
-- Key anomaly state tracking
-- Real-time alert notifications
-
-#### CLI Commands
-- `momentry api-key create` - Create new API key
-- `momentry api-key list` - List all API keys
-- `momentry api-key validate` - Validate an API key
-- `momentry api-key revoke` - Revoke an API key
-- `momentry api-key rotate` - Request key rotation
-- `momentry api-key stats` - Show statistics
-
-#### Gitea Integration
-- Create Gitea Personal Access Tokens
-- List user tokens
-- Delete tokens
-- Local token tracking
-- CLI commands:
-  - `momentry gitea create`
-  - `momentry gitea list`
-  - `momentry gitea delete`
-  - `momentry gitea verify`
-
-#### n8n Integration
-- Create n8n API keys
-- List API keys
-- Delete API keys
-- Local key tracking
-- CLI commands:
-  - `momentry n8n create`
-  - `momentry n8n list`
-  - `momentry n8n delete`
-  - `momentry n8n verify`
-
-#### Security Features
-- Constant-time hash comparison (subtle crate)
-- Rate limiting for validation attempts
-- IP-based lockout after failed attempts
-- Configurable thresholds via environment variables
-
-#### Performance Optimizations
-- Moka-based API key validation cache
-- Configurable TTL and capacity
-- Reduced database queries for hot keys
-
-#### Documentation
-- API Key Management design document
-- Redis user configuration guide
-- Gitea token integration guide
-- n8n API key integration guide
-- Optimization plan with task codes
-
-### Environment Variables
-
-#### API Key Configuration
-```
-CACHE_TTL_SECONDS=300          # Cache TTL (default: 300)
-CACHE_MAX_CAPACITY=10000       # Max cache entries (default: 10000)
-RATE_LIMIT_MAX_ATTEMPTS=5      # Max failed attempts (default: 5)
-RATE_LIMIT_WINDOW_SECONDS=900  # Lockout duration (default: 900)
-```
-
-#### Service URLs
-```
-GITEA_URL=http://localhost:3000
-N8N_URL=https://n8n.momentry.ddns.net
-```
-
-### Database Schema
-
-#### Tables Created
-- `api_keys` - API key storage
-- `api_key_audit_log` - Audit trail
-- `api_key_anomalies` - Anomaly records
-- `gitea_tokens` - Gitea token tracking
-- `n8n_api_keys` - n8n API key tracking
-
-### Dependencies Added
-- `uuid` - UUID generation
-- `subtle` - Constant-time comparison
-- `moka` - Async cache
-- `utoipa` - OpenAPI documentation
-- `utoipa-swagger-ui` - Swagger UI
-
----
-
-## Version History
-
-| Version | Date | Description |
-|---------|------|-------------|
-| 0.1.0 | 2026-03-21 | Initial release with API Key Management |

Cargo.lock

@@ -166,6 +166,30 @@ version = "1.2.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "03918c3dbd7701a85c6b9887732e2921175f26c350b4563841d0958c21d57e6d"
 
+[[package]]
+name = "argon2"
+version = "0.5.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "3c3610892ee6e0cbce8ae2700349fcf8f98adb0dbfbee85aec3c9179d29cc072"
+dependencies = [
+ "base64ct",
+ "blake2",
+ "cpufeatures",
+ "password-hash",
+]
+
+[[package]]
+name = "async-compression"
+version = "0.4.42"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "e79b3f8a79cccc2898f31920fc69f304859b3bd567490f75ebf51ae1c792a9ac"
+dependencies = [
+ "compression-codecs",
+ "compression-core",
+ "pin-project-lite",
+ "tokio",
+]
+
 [[package]]
 name = "async-lock"
 version = "3.4.2"
@@ -378,6 +402,15 @@ dependencies = [
  "wyz",
 ]
 
+[[package]]
+name = "blake2"
+version = "0.10.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "46502ad458c9a52b69d4d4d32775c788b7a1b85e8bc9d482d92250fc0e3f8efe"
+dependencies = [
+ "digest",
+]
+
 [[package]]
 name = "block-buffer"
 version = "0.10.4"
@@ -594,6 +627,25 @@ dependencies = [
  "static_assertions",
 ]
 
+[[package]]
+name = "compression-codecs"
+version = "0.4.38"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ce2548391e9c1929c21bf6aa2680af86fe4c1b33e6cea9ac1cfeec0bd11218cf"
+dependencies = [
+ "compression-core",
+ "flate2",
+ "memchr",
+ "zstd",
+ "zstd-safe",
+]
+
+[[package]]
+name = "compression-core"
+version = "0.4.32"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "cc14f565cf027a105f7a44ccf9e5b424348421a1d8952a8fc9d499d313107789"
+
 [[package]]
 name = "concurrent-queue"
 version = "2.5.0"
@@ -1564,6 +1616,12 @@ dependencies = [
  "pin-project-lite",
 ]
 
+[[package]]
+name = "http-range-header"
+version = "0.4.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "9171a2ea8a68358193d15dd5d70c1c10a2afc3e7e4c5bc92bc9f025cebd7359c"
+
 [[package]]
 name = "httparse"
 version = "1.10.1"
@@ -2052,6 +2110,21 @@ dependencies = [
  "wasm-bindgen",
 ]
 
+[[package]]
+name = "jsonwebtoken"
+version = "9.3.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "5a87cc7a48537badeae96744432de36f4be2b4a34a05a5ef32e9dd8a1c169dde"
+dependencies = [
+ "base64 0.22.1",
+ "js-sys",
+ "pem",
+ "ring",
+ "serde",
+ "serde_json",
+ "simple_asn1",
+]
+
 [[package]]
 name = "kqueue"
 version = "1.1.1"
@@ -2209,6 +2282,25 @@ version = "0.1.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "112b39cec0b298b6c1999fee3e31427f74f676e4cb9879ed1a121b43661a4154"
 
+[[package]]
+name = "mac_address"
+version = "1.1.8"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "c0aeb26bf5e836cc1c341c8106051b573f1766dfa05aa87f0b98be5e51b02303"
+dependencies = [
+ "nix",
+ "winapi",
+]
+
+[[package]]
+name = "matchers"
+version = "0.2.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "d1525a2a28c7f4fa0fc98bb91ae755d1e2d1505079e05539e35bc876b5d65ae9"
+dependencies = [
+ "regex-automata",
+]
+
 [[package]]
 name = "matches"
 version = "0.1.10"
@@ -2243,6 +2335,15 @@ version = "2.8.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "f8ca58f447f06ed17d5fc4043ce1b10dd205e060fb3ce5b979b8ed8e59ff3f79"
 
+[[package]]
+name = "memoffset"
+version = "0.9.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "488016bfae457b036d996092f6cb448677611ce4449e970ceaf42695203f218a"
+dependencies = [
+ "autocfg",
+]
+
 [[package]]
 name = "mime"
 version = "0.3.17"
@@ -2321,10 +2422,11 @@ dependencies = [
 
 [[package]]
 name = "momentry_core"
-version = "0.1.0"
+version = "1.0.0"
 dependencies = [
  "aes-gcm",
  "anyhow",
+ "argon2",
  "async-trait",
  "atty",
  "axum",
@@ -2339,7 +2441,9 @@ dependencies = [
  "futures-util",
  "hex",
  "jieba-rs",
+ "jsonwebtoken",
  "libc",
+ "mac_address",
  "md5",
  "moka",
  "mongodb",
@@ -2349,6 +2453,7 @@ dependencies = [
  "qdrant-client",
  "ratatui",
  "redis",
+ "regex",
  "reqwest",
  "sdl2",
  "serde",
@@ -2356,8 +2461,10 @@ dependencies = [
  "sha2",
  "sqlx 0.8.6",
  "subtle",
+ "tempfile",
  "thiserror 1.0.69",
  "tokio",
+ "tokio-util",
  "tower 0.4.13",
  "tower-http 0.5.2",
  "tracing",
@@ -2448,6 +2555,19 @@ dependencies = [
  "tempfile",
 ]
 
+[[package]]
+name = "nix"
+version = "0.29.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "71e2746dc3a24dd78b3cfcb7be93368c6de9963d30f43a6a73998a9cf4b17b46"
+dependencies = [
+ "bitflags 2.11.1",
+ "cfg-if",
+ "cfg_aliases",
+ "libc",
+ "memoffset",
+]
+
 [[package]]
 name = "no_std_io2"
 version = "0.9.3"
@@ -2670,6 +2790,17 @@ dependencies = [
  "windows-link",
 ]
 
+[[package]]
+name = "password-hash"
+version = "0.5.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "346f04948ba92c43e8469c1ee6736c7563d71012b17d40745260fe106aac2166"
+dependencies = [
+ "base64ct",
+ "rand_core 0.6.4",
+ "subtle",
+]
+
 [[package]]
 name = "paste"
 version = "1.0.15"
@@ -2685,6 +2816,16 @@ dependencies = [
  "digest",
 ]
 
+[[package]]
+name = "pem"
+version = "3.0.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1d30c53c26bc5b31a98cd02d20f25a7c8567146caf63ed593a9d87b2775291be"
+dependencies = [
+ "base64 0.22.1",
+ "serde_core",
+]
+
 [[package]]
 name = "pem-rfc7468"
 version = "0.7.0"
@@ -3835,6 +3976,18 @@ version = "0.3.9"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "703d5c7ef118737c72f1af64ad2f6f8c5e1921f818cdcb97b8fe6fc69bf66214"
 
+[[package]]
+name = "simple_asn1"
+version = "0.6.4"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "0d585997b0ac10be3c5ee635f1bab02d512760d14b7c468801ac8a01d9ae5f1d"
+dependencies = [
+ "num-bigint",
+ "num-traits",
+ "thiserror 2.0.18",
+ "time",
+]
+
 [[package]]
 name = "siphasher"
 version = "1.0.2"
@@ -4716,12 +4869,21 @@ checksum = "1e9cd434a998747dd2c4276bc96ee2e0c7a2eadf3cae88e52be55a05fa9053f5"
 dependencies = [
  "bitflags 2.11.1",
  "bytes",
+ "futures-util",
  "http",
  "http-body",
  "http-body-util",
+ "http-range-header",
+ "httpdate",
+ "mime",
+ "mime_guess",
+ "percent-encoding",
  "pin-project-lite",
+ "tokio",
+ "tokio-util",
  "tower-layer",
  "tower-service",
+ "tracing",
 ]
 
 [[package]]
@@ -4730,13 +4892,18 @@ version = "0.6.8"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "d4e6559d53cc268e5031cd8429d05415bc4cb4aefc4aa5d6cc35fbf5b924a1f8"
 dependencies = [
+ "async-compression",
  "bitflags 2.11.1",
  "bytes",
+ "futures-core",
  "futures-util",
  "http",
  "http-body",
+ "http-body-util",
  "iri-string",
  "pin-project-lite",
+ "tokio",
+ "tokio-util",
  "tower 0.5.3",
  "tower-layer",
  "tower-service",
@@ -4804,10 +4971,14 @@ version = "0.3.23"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "cb7f578e5945fb242538965c2d0b04418d38ec25c79d160cd279bf0731c8d319"
 dependencies = [
+ "matchers",
  "nu-ansi-term",
+ "once_cell",
+ "regex-automata",
  "sharded-slab",
  "smallvec",
  "thread_local",
+ "tracing",
  "tracing-core",
  "tracing-log",
 ]

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "momentry_core"
-version = "0.1.0"
+version = "1.0.0"
 edition = "2021"
 authors = ["Momentry Team"]
 description = "Digital asset management system with video analysis and RAG"
@@ -11,7 +11,7 @@ anyhow = "1.0"
 thiserror = "1.0"
 tokio = { version = "1", features = ["full"] }
 tracing = "0.1"
-tracing-subscriber = "0.3"
+tracing-subscriber = { version = "0.3", features = ["env-filter"] }
 once_cell = "1.19"
 libc = "0.2"
 dotenv = "0.15"
@@ -26,17 +26,21 @@ futures-util = "0.3"
 # Serialization
 serde = { version = "1.0", features = ["derive"] }
 serde_json = "1.0"
+regex = "1"
 chrono = { version = "0.4", features = ["serde"] }
 
 # UUID
 sha2 = "0.10"
 hex = "0.4"
 uuid = { version = "1.0", features = ["v4"] }
+mac_address = "1.1"
 
  # Security
  subtle = "2.5"
  aes-gcm = "0.10"
  base64 = "0.22"
+ argon2 = "0.5"
+ jsonwebtoken = "9.3"
 
  # Text processing
  jieba-rs = "0.8.1"
@@ -51,13 +55,13 @@ sqlx = { version = "0.8", features = ["runtime-tokio", "postgres", "sqlite", "js
 mongodb = { version = "2", features = ["tokio-runtime"] }
 bson = { version = "2", features = ["chrono-0_4"] }
 qdrant-client = "1.7"
-reqwest = { version = "0.12", features = ["json"] }
+reqwest = { version = "0.12", features = ["json", "gzip", "zstd"] }
 pgvector = { version = "0.3", features = ["sqlx"] }
 
 # HTTP Server
 axum = { version = "0.7", features = ["multipart"] }
 tower = "0.4"
-tower-http = { version = "0.5", features = ["cors"] }
+tower-http = { version = "0.5", features = ["cors", "fs"] }
 
 # API Documentation
 utoipa = { version = "4", features = ["axum_extras", "chrono", "uuid"] }
@@ -78,6 +82,7 @@ crossterm = "0.28"
 
 # Terminal
 atty = "0.2"
+tokio-util = { version = "0.7.18", features = ["io"] }
 
 # System
 
@@ -97,6 +102,10 @@ optional = true
 name = "momentry"
 path = "src/main.rs"
 
+[[bin]]
+name = "momentry-cli"
+path = "src/bin/cli.rs"
+
 [[bin]]
 name = "momentry_player"
 path = "src/player/main.rs"
@@ -121,5 +130,24 @@ path = "src/bin/test_bm25_simple.rs"
 name = "integrated_player"
 path = "src/bin/integrated_player.rs"
 
+[[bin]]
+name = "release"
+path = "src/bin/release.rs"
+
+[[bin]]
+name = "vectorize_missing"
+path = "src/bin/vectorize_missing.rs"
+
+[[bin]]
+name = "sync_qdrant_from_pg"
+path = "src/bin/sync_qdrant_from_pg.rs"
+
+[[bin]]
+name = "service"
+path = "src/bin/service.rs"
+
 [build-dependencies]
 chrono = "0.4"
+
+[dev-dependencies]
+tempfile = "3"

IDENTITY_BEST_FACE_API.md

@@ -0,0 +1,277 @@
+# Identity Best-Face API
+
+**狀態：** 規劃中
+**提出日期：** 2026-06-01
+**提出者：** WordPress Portal 前端團隊
+
+---
+
+## 1. 背景
+
+WordPress Portal 的 People 頁面需要在 identity detail view 與 grid card 中顯示代表臉部縮圖。目前前端作法：
+
+1. `GET /identity/{uuid}/traces` → 取得所有 trace 列表（含 `avg_confidence`）
+2. 對每個 trace 載入第一幀 thumbnail → `GET /file/{uuid}/trace/{tid}/thumbnail`
+3. 從有 thumbnail 的 trace 中，選 `avg_confidence` 最高者作為代表圖
+
+### 現有問題
+
+- **品質不佳**：trace thumbnail 固定取第一幀，不一定是該 trace 內最清晰或正面的臉部畫面
+- **浪費頻寬**：前端需發送大量並行請求（最多 20 trace × thumbnail），多數 thumbnail 最終不會被使用
+- **無快取**：每次進入 detail view 都要重複載入所有 thumbnail
+- **不一致**：同樣 identity 在 grid card 與 detail view 可能顯示不同代表圖
+
+---
+
+## 2. 目標
+
+後端新增一個 endpoint，對指定 identity **跨所有 trace** 選出品質最佳（最清晰）的臉部畫面，並提供可直接使用的縮圖 URL，支援 disk cache。
+
+---
+
+## 3. API 規格
+
+### `GET /api/v1/identity/:identity_uuid/best-face`
+
+無 query parameter。
+
+#### 成功回應 `200`
+
+```json
+{
+  "success": true,
+  "identity_uuid": "a6fb22eebefaef17e62af874997c5944",
+  "name": "Audrey Hepburn",
+  "source": "fresh",
+  "best": {
+    "file_uuid": "a6fb22eebefaef17e62af874997c5944",
+    "trace_id": 42,
+    "frame_number": 3120,
+    "timestamp_secs": 124.8,
+    "bbox": {
+      "x": 240,
+      "y": 180,
+      "width": 120,
+      "height": 160
+    },
+    "confidence": 0.97,
+    "quality_score": 18624.0,
+    "blur_score": 2.1,
+    "thumbnail_url": "/api/v1/file/a6fb22eebefaef17e62af874997c5944/trace/42/thumbnail"
+  }
+}
+```
+
+#### 無可用臉部 `200`
+
+```json
+{
+  "success": true,
+  "identity_uuid": "a6fb22eebefaef17e62af874997c5944",
+  "name": "Audrey Hepburn",
+  "source": "fresh",
+  "best": null
+}
+```
+
+#### 欄位說明
+
+| 欄位 | 型態 | 說明 |
+|------|------|------|
+| `success` | boolean | 請求是否成功 |
+| `identity_uuid` | string | identity UUID（32字元無連字號） |
+| `name` | string | identity 名稱 |
+| `source` | string | `"fresh"`（即時計算）或 `"cache"`（來自 disk cache） |
+| `best` | object/null | 最佳臉部資訊，無可用臉部時為 `null` |
+| `best.file_uuid` | string | 該臉部所屬檔案 UUID |
+| `best.trace_id` | int | 該臉部所屬 trace ID |
+| `best.frame_number` | int | 代表臉的影格編號 |
+| `best.timestamp_secs` | float | 代表臉的時間戳（秒） |
+| `best.bbox` | object | 臉部 bounding box `{x, y, width, height}` |
+| `best.confidence` | float | 該臉部的 detection confidence |
+| `best.quality_score` | float | 品質分數 = `(width * height) * confidence` |
+| `best.blur_score` | float | 模糊度分數（ffmpeg blurdetect），越低越清晰 |
+| `best.thumbnail_url` | string | 縮圖 URL（相對路徑，可直接用於瀏覽器） |
+
+---
+
+## 4. 實作建議
+
+### 4.1 建議放置位置
+
+**選項 A（建議）：** `src/api/trace_agent_api.rs`
+
+- 原因：核心邏輯重用 `select_rep_face()`（目前為 `pub(crate)`，位於同一檔案），無需修改既有的 function visibility
+- 在 `trace_agent_routes()` 中新增路由
+
+**選項 B：** `src/api/identity_binding.rs`
+
+- 需將 `select_rep_face` 改為 `pub` 才能跨檔案呼叫
+- 路由語意上更接近 identity 操作
+
+### 4.2 演算法
+
+```
+1. DISK CACHE CHECK
+   路徑：{OUTPUT_DIR}/identities/{uuid}/best_face.json
+   讀取 identity.json 的 updated_at，與 cache 中記錄的版本比較
+   若 cache 未過期 → 直接回傳（source: "cache"）
+   若無 cache 或已過期 → 繼續計算
+
+2. QUERY IDENTITY
+   SELECT id, name FROM identities
+   WHERE REPLACE(uuid::text, '-', '') = $1
+
+3. QUERY TOP N TRACES
+   SELECT fd.file_uuid, fd.trace_id,
+          AVG(fd.confidence)::float8 AS avg_conf
+   FROM {schema}.face_detections fd
+   WHERE fd.identity_id = $1
+     AND fd.confidence > 0.7
+     AND (fd.metadata->>'qc_ok' IS NULL
+          OR (fd.metadata->>'qc_ok')::boolean = true)
+   GROUP BY fd.file_uuid, fd.trace_id
+   ORDER BY avg_conf DESC
+   LIMIT 5
+
+4. FOR EACH TRACE (並行)
+   select_rep_face(pool, file_uuid, trace_id, err_fn)
+   　→ 回傳該 trace 內 blur_score 最低（最清晰）的臉
+   失敗則 skip（log warning）
+
+5. SELECT BEST AMONG RESULTS
+   主排序：blur_score ASC（越低越清晰）
+   次排序：quality_score DESC（blur_score 差距 < 0.5 時）
+   全部失敗 → best = null
+
+6. WRITE DISK CACHE
+   路徑：{OUTPUT_DIR}/identities/{uuid}/best_face.json
+   內容：best 欄位 + 計算時間 + identity updated_at
+
+7. RESPONSE
+```
+
+### 4.3 效能參數
+
+| 參數 | 值 | 說明 |
+|------|----|------|
+| TOP N | 5 | 只對 confidence 最高的 5 個 trace 做 blurdetect |
+| confidence 門檻 | > 0.7 | 同既有的 `select_rep_face` 邏輯 |
+| QC 過濾 | qc_ok = true/null | 同既有邏輯 |
+| ffmpeg timeout | inherit from Command | 每個 trace 約 1-3s |
+| cache TTL | 直到下一次 bind/unbind/merge | 事件驅動失效 |
+
+### 4.4 快取策略
+
+**寫入時機：** `get_identity_best_face` 計算完成後
+
+**失效時機（刪除 `best_face.json`）：**
+
+| 觸發 operation | 所在檔案 | 備註 |
+|---------------|---------|------|
+| `bind_trace` (POST) | `identity_binding.rs` | 新增 face 關聯 |
+| `unbind` (POST) | `identity_binding.rs` | 移除 face 關聯 |
+| `mergeinto` (POST) | `identity_binding.rs` | source + target 雙雙清除 |
+| `profile-image` (POST) | `identity_api.rs` | 使用者上傳新大頭照 |
+
+**Cache 驗證機制：** 儲存計算時的 `identity.updated_at`，每次請求時比對：
+- 若 identity 的 `updated_at` 未變 → cache 有效
+- 若已變 → 重新計算
+
+### 4.5 建議的新增/修改檔案
+
+| 檔案 | 動作 | 說明 |
+|------|------|------|
+| `src/api/trace_agent_api.rs` | **新增** handler + struct + route | ~+130 行 |
+| `src/api/identity_binding.rs` | **修改** 3 處 + cache invalidation helper | ~+25 行 |
+| `src/api/identity_api.rs` | **修改** 1 處（profile-image POST） | ~+5 行 |
+
+### 4.6 需要的新 struct
+
+**`src/api/trace_agent_api.rs`**（或獨立檔案 `src/core/identity_best_face.rs`）：
+
+```rust
+#[derive(Debug, Serialize, Deserialize)]
+pub struct BestFaceResponse {
+    pub success: bool,
+    pub identity_uuid: String,
+    pub name: String,
+    pub source: String,
+    pub best: Option<BestFaceResult>,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct BestFaceResult {
+    pub file_uuid: String,
+    pub trace_id: i32,
+    pub frame_number: i64,
+    pub timestamp_secs: f64,
+    pub bbox: RepFaceBbox,
+    pub confidence: f64,
+    pub quality_score: f64,
+    pub blur_score: f64,
+    pub thumbnail_url: String,
+}
+```
+
+### 4.7 Cache Invalidation Helper Function
+
+```rust
+async fn invalidate_best_face_cache(output_dir: &str, uuid_clean: &str) {
+    let path = format!("{}/identities/{}/best_face.json", output_dir, uuid_clean);
+    let _ = tokio::fs::remove_file(path).await;
+}
+```
+
+---
+
+## 5. 前端整合參考（供後端團隊理解使用情境）
+
+WP snippet 72 (`ms-people.js`) 的 `loadPersonDetail` 中，優先使用新 endpoint：
+
+```js
+async function loadPersonDetail(person) {
+  if (person.thumb && person._hasProfileImage) return;
+
+  try {
+    const res = await apiFetch('/identity/' + person.id + '/best-face');
+    if (res?.success && res?.best) {
+      const b = res.best;
+      person.thumb = `${API_BASE}/file/${b.file_uuid}/trace/${b.trace_id}/thumbnail?api_key=${API_KEY}`;
+      person._hasProfileImage = true;
+      updateDetailAvatar(person);
+      return;
+    }
+  } catch (e) { /* fallback to legacy */ }
+
+  // 原邏輯：traces → thumbnails → confidence sort
+}
+```
+
+同樣可用於 grid card 的代表圖載入（`loadGridThumbnails`）：
+
+```js
+// 一次性載入所有 pending identity 的 best-face
+const results = await Promise.allSettled(
+  persons.map(p => apiFetch('/identity/' + p.id + '/best-face'))
+);
+```
+
+---
+
+## 6. 驗收標準
+
+1. `GET /api/v1/identity/{uuid}/best-face` → `200` + valid JSON
+2. 有 trace 的 identity → `best` 不為 null，且 `blur_score` 為該 identity 所有 trace 中最低
+3. 無 trace 的 identity → `best: null`
+4. 短時間內重複請求同一 identity → `source: "cache"`，回應時間 < 10ms
+5. 綁定新 trace 後再次請求 → `source: "fresh"`（cache 已正確失效）
+6. `thumbnail_url` 可直接用於 `<img>` 顯示
+
+---
+
+## 7. 風險與注意事項
+
+- **首次請求延遲**：對有大量 trace 的 identity（如主角），首次請求可能需 5-15 秒。建議前端顯示 loading state
+- **ffmpeg 資源**：同時多個請求可能導致高 CPU 使用。可考慮加入 per-identity lock 避免重複計算
+- **邊界案例**：trace 內的 faces 全部 confidence ≤ 0.7 或 qc_ok=false，則該 trace 被跳過，可能導致 `best: null`

SYNC_V1.1.md

@@ -0,0 +1,78 @@
+# Sync Notes 2026-05-21
+
+## M5Max128 收到後需要做的事
+
+```bash
+cd ~/momentry_core
+git pull origin main       # 拉取所有變更
+cat SYNC_V1.1.md           # 閱讀此文件
+
+# 資料庫變更（必須先執行，否則 worker 會 fail）
+psql -U accusys -d momentry -c "ALTER TABLE public.pre_chunks ALTER COLUMN coordinate_index SET DEFAULT 0;"
+
+# 重建 + 重啟
+cargo build --release --bin momentry
+./run-server-3002.sh
+```
+
+---
+
+## Bugs Fixed (13)
+
+| # | 問題 | 根因 | 修復 |
+|---|------|------|------|
+| 1 | `GET /identity/:uuid/files` 空資料 | SQL 缺 `REPLACE(uuid)` + 缺 `JOIN videos` | 改用 `REPLACE(uuid::text...)` + JOIN videos + `frame_number/fps` |
+| 2 | `GET /identity/:uuid/faces` crash + 空 | `i64`/`INT4` 型別不符 + 硬編碼 NULL/0 | `id::bigint`、`confidence::float8` + 真實欄位 |
+| 3 | `GET /identity/:uuid` crash | `IdentityDetailRecord.id` 是 `i64` 但 DB 是 `INT4` | `id::bigint as id` |
+| 4 | `GET /file/:uuid/identities` 空 | 雙重 stub（handler + DB 都 `Vec::new()`） | 完整實作 + 正確 total count |
+| 5 | `GET /identities/search?q=Louis` 500 | `c.text_content` NULL 但 Rust tuple 用 `String` | 改 `Option<String>` |
+| 6 | `POST /search/universal` person type first/last_time null | `search_persons_internal` 用 `timestamp_secs` | 改 `frame_number/fps` + JOIN videos |
+| 7 | faces/files/chunks total 不正確 | `total: data.len()` | 獨立 COUNT 查詢 |
+| 8 | `GET /identity/:uuid/traces` 無分頁 | 缺 page/page_size | 新增 `TracesQuery` + LIMIT/OFFSET |
+| 9 | 身分比對 frame-level 不穩定 | frame-level Qdrant | 改 **trace-level**（AVG embedding per trace） |
+| 10 | Charade face embedding 不在 Qdrant | 沒跑 `sync_face_embeddings` | match API 自動 push + ANN search |
+| 11 | 無眼睛 face 推入 Qdrant | 無 QC 過濾 | `face_landmark_qc.py --apply` + Qdrant sync 過濾 `qc_ok` |
+| 12 | TMDb 比對 dev/prod 不一致 | Qdrant ANN 不同 collection | trace-level 改善穩定性 |
+| 13 | `faces/files/chunks total` 顯示 page_size | `total: data.len()` | 改為獨立 COUNT 查詢 |
+
+## ✨ 新功能 (6)
+
+| # | 功能 | 說明 |
+|---|------|------|
+| 1 | `POST /api/v1/tmdb/fetch` | 從 TMDb 下載 cast → 建立 identity + json + jpg + Qdrant |
+| 2 | `POST /api/v1/agents/tmdb/match/:file_uuid` | 推 face → Qdrant ANN search → bind identity |
+| 3 | `GET /api/v1/identity/:uuid/status` | 檢查 identity.json + profile.jpg 是否存在 |
+| 4 | `/health` 新增 watcher/worker/時區 | `watcher_running`、`worker_running`、`system_timezone` |
+| 5 | `SYSTEM_TIMEZONE` config | 自動偵測系統時區，可 `MOMENTRY_TIMEZONE` 覆蓋 |
+| 6 | `GET /identity/:uuid/traces` 分頁 | `?page=1&page_size=20` |
+
+## 🔧 資料庫變更
+
+```sql
+-- 必須執行（否則 worker 的 CUT processor 會失敗）
+ALTER TABLE public.pre_chunks ALTER COLUMN coordinate_index SET DEFAULT 0;
+
+-- 選擇性（face_landmark_qc.py --apply 需要）
+ALTER TABLE public.face_detections ADD COLUMN metadata jsonb DEFAULT '{}'::jsonb;
+```
+
+## 🗑️ 清理
+
+- 刪除 2,769 個孤兒 `person_xxx` identity（無 face_detections）
+- `person_identities` + `person_appearances` table 已 DROP
+
+## 📂 主要檔案變更
+
+| 檔案 | 說明 |
+|------|------|
+| `src/api/identity_api.rs` | identity detail/files/faces total 修正 + status endpoint |
+| `src/api/identity_binding.rs` | traces 分頁（新增 `page`/`page_size`/`total`） |
+| `src/api/server.rs` | health 新增 watcher/worker/system_timezone |
+| `src/api/tmdb_api.rs` | **新檔案** — tmdb/fetch + match 端點 |
+| `src/api/universal_search.rs` | person search 改 frame_number/fps |
+| `src/core/config.rs` | 新增 SYSTEM_TIMEZONE |
+| `src/core/db/qdrant_db.rs` | search_face_collection + sync_trace_embeddings + batch upsert |
+| `src/core/db/postgres_db.rs` | get_identity_files/faces 修正 + get_file_identities 實作 |
+| `src/core/tmdb/probe.rs` | extract_movie_name 改進（只取 `(` 前） |
+| `scripts/face_landmark_qc.py` | 新增 `--apply` + `--schema` 參數 |
+| `Cargo.toml` | reqwest 加 `gzip` feature |

a1b10138a6bbb0cd.cut.json

@@ -1 +0,0 @@
-/Users/accusys/momentry_core_0.1/output/a1b10138a6bbb0cd.cut.json

a1b10138a6bbb0cd.face.json

@@ -1 +0,0 @@
-/Users/accusys/momentry_core_0.1/output/a1b10138a6bbb0cd.face.json

a1b10138a6bbb0cd.ocr.json

@@ -1 +0,0 @@
-/Users/accusys/momentry_core_0.1/output/a1b10138a6bbb0cd.ocr.json

a1b10138a6bbb0cd.pose.json

@@ -1 +0,0 @@
-/Users/accusys/momentry_core_0.1/output/a1b10138a6bbb0cd.pose.json

a1b10138a6bbb0cd.story.json

@@ -1 +0,0 @@
-/Users/accusys/momentry_core_0.1/output/a1b10138a6bbb0cd.story.json

a1b10138a6bbb0cd.yolo.json

@@ -1 +0,0 @@
-/Users/accusys/momentry_core_0.1/output/a1b10138a6bbb0cd.yolo.json

build.rs

@@ -1,19 +1,81 @@
-use chrono::Local;
-use std::env;
+use std::collections::BTreeMap;
+use std::path::Path;
 
 fn main() {
-    let now = Local::now();
-    let build_time = now.format("%Y-%m-%d %H:%M:%S").to_string();
+    let version = std::env::var("CARGO_PKG_VERSION").unwrap_or_else(|_| "unknown".to_string());
 
-    // Get version from Cargo.toml
-    let version = env!("CARGO_PKG_VERSION");
-    let full_version = format!("{} (build: {})", version, build_time);
+    let git_hash = std::process::Command::new("git")
+        .args(["rev-parse", "--short", "HEAD"])
+        .output()
+        .ok()
+        .and_then(|o| String::from_utf8(o.stdout).ok())
+        .map(|s| s.trim().to_string())
+        .unwrap_or_else(|| "unknown".to_string());
 
-    // Set build-time environment variables
-    println!("cargo:rustc-env=BUILD_VERSION={}", full_version);
-    println!("cargo:rustc-env=BUILD_TIME={}", build_time);
-    println!("cargo:rustc-env=VERSION={}", version);
+    let timestamp = std::process::Command::new("date")
+        .args(["-u", "+%Y-%m-%dT%H:%M:%SZ"])
+        .output()
+        .ok()
+        .and_then(|o| String::from_utf8(o.stdout).ok())
+        .map(|s| s.trim().to_string())
+        .unwrap_or_else(|| "unknown".to_string());
 
-    // Also print for debugging
-    println!("cargo:warning=Building version: {}", full_version);
+    println!("cargo:rustc-env=BUILD_VERSION={}", version);
+    println!("cargo:rustc-env=BUILD_GIT_HASH={}", git_hash);
+    println!("cargo:rustc-env=BUILD_TIMESTAMP={}", timestamp);
+
+    // ── Schema migration manifest ──
+    // Scan release/migrate_*.sql, compute SHA256, embed as JSON string
+    let manifest_dir = std::env::var("CARGO_MANIFEST_DIR").unwrap_or_else(|_| ".".to_string());
+    let release_dir = Path::new(&manifest_dir).join("release");
+
+    let mut migrations = BTreeMap::new(); // sorted by filename
+    if let Ok(entries) = std::fs::read_dir(&release_dir) {
+        for entry in entries.flatten() {
+            let path = entry.path();
+            let fname = path.file_name().and_then(|n| n.to_str()).unwrap_or("");
+            if fname.starts_with("migrate_") && fname.ends_with(".sql") {
+                if let Ok(content) = std::fs::read(&path) {
+                    let hash = sha256_hex(&content);
+                    migrations.insert(fname.to_string(), hash);
+                }
+            }
+        }
+    }
+
+    // Encode as comma-separated: name1:hash1,name2:hash2,...
+    let manifest: String = migrations
+        .iter()
+        .map(|(name, hash)| format!("{}:{}", name, hash))
+        .collect::<Vec<_>>()
+        .join(",");
+    println!("cargo:rustc-env=REQUIRED_MIGRATIONS={}", manifest);
+    println!(
+        "cargo:info=Embedded {} migration checksums",
+        migrations.len()
+    );
+}
+
+fn sha256_hex(data: &[u8]) -> String {
+    use std::io::Write;
+    use std::process::{Command, Stdio};
+    if let Ok(mut child) = Command::new("shasum")
+        .arg("-a")
+        .arg("256")
+        .stdin(Stdio::piped())
+        .stdout(Stdio::piped())
+        .spawn()
+    {
+        if let Some(mut stdin) = child.stdin.take() {
+            let _ = stdin.write_all(data);
+        }
+        if let Ok(out) = child.wait_with_output() {
+            if let Ok(s) = String::from_utf8(out.stdout) {
+                if let Some(hash) = s.split(' ').next() {
+                    return hash.to_string();
+                }
+            }
+        }
+    }
+    "unknown".to_string()
 }

check_jobs.rs

@@ -0,0 +1,26 @@
+use sqlx::postgres::PgPoolOptions;
+
+#[tokio::main]
+async fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let pool = PgPoolOptions::new()
+        .max_connections(1)
+        .connect("postgres://accusys@localhost:5432/momentry")
+        .await?;
+
+    let row: Option<(i32, String, String, Option<String>)> = sqlx::query_as(
+        "SELECT id, uuid, status, processors FROM monitor_jobs WHERE uuid = 'd8acb03870f0cc9b14e01f14a7bf24d6' ORDER BY id DESC LIMIT 1"
+    )
+    .fetch_optional(&pool)
+    .await?;
+
+    if let Some((id, uuid, status, processors)) = row {
+        println!("Job ID: {}", id);
+        println!("UUID: {}", uuid);
+        println!("Status: {}", status);
+        println!("Processors: {:?}", processors);
+    } else {
+        println!("No job found for this UUID");
+    }
+
+    Ok(())
+}

check_jobs_status.sh

@@ -0,0 +1,13 @@
+#!/bin/bash
+# Query PostgreSQL monitor_jobs status
+# Using Rust code to execute SQL
+
+echo "Jobs in PostgreSQL:"
+cat << 'SQL' > query_jobs.sql
+SELECT uuid, status, processors, created_at::date 
+FROM monitor_jobs 
+ORDER BY created_at DESC 
+LIMIT 10;
+SQL
+
+echo "SQL query created. Need to execute via API or Rust..."

clear_failed_processor.sql

@@ -0,0 +1,10 @@
+-- Delete failed face processor result to allow retry
+DELETE FROM processor_results 
+WHERE job_id = 62 
+AND processor = 'face' 
+AND status = 'failed';
+
+-- Check remaining processor_results for this job
+SELECT id, processor, status, retry_count 
+FROM processor_results 
+WHERE job_id = 62;

com.momentry.api.updated.plist

@@ -1,64 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-<dict>
-    <key>Label</key>
-    <string>com.momentry.api</string>
-    
-    <key>UserName</key>
-    <string>accusys</string>
-    
-    <key>GroupName</key>
-    <string>staff</string>
-    
-    <key>WorkingDirectory</key>
-    <string>/Users/accusys/momentry_core_0.1</string>
-    
-    <key>ProgramArguments</key>
-    <array>
-        <string>/Users/accusys/momentry_core_0.1/target/release/momentry</string>
-        <string>server</string>
-        <string>--port</string>
-        <string>3002</string>
-    </array>
-    
-    <key>EnvironmentVariables</key>
-    <dict>
-        <key>PATH</key>
-        <string>/opt/homebrew/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin</string>
-        
-        <key>DATABASE_URL</key>
-        <string>postgres://accusys@localhost:5432/momentry</string>
-        
-        <key>DB_MAX_CONNECTIONS</key>
-        <string>50</string>
-        
-        <key>DB_ACQUIRE_TIMEOUT</key>
-        <string>30</string>
-        
-        <key>REDIS_URL</key>
-        <string>redis://:accusys@localhost:6379</string>
-        
-        <key>REDIS_PASSWORD</key>
-        <string>accusys</string>
-        
-        <key>OLLAMA_HOST</key>
-        <string>http://localhost:11434</string>
-        
-        <key>QDRANT_URL</key>
-        <string>http://127.0.0.1:6333</string>
-    </dict>
-    
-    <key>RunAtLoad</key>
-    <true/>
-    
-    <key>KeepAlive</key>
-    <true/>
-    
-    <key>StandardOutPath</key>
-    <string>/Users/accusys/momentry/log/momentry_api.log</string>
-    
-    <key>StandardErrorPath</key>
-    <string>/Users/accusys/momentry/log/momentry_api.error.log</string>
-</dict>
-</plist>

config/README.md

@@ -1,105 +1,178 @@
-# Momentry Core 配置管理
+# Momentry Core Config Management
 
-## 目錄結構
+## Directory Structure
 
 ```
 momentry_core_0.1/
-├── .env.example          # 配置模板（已納入版本控制）
-├── .env                  # 本地配置（已從版本控制排除）
-├── .env.local           # 本地覆蓋配置（已從版本控制排除）
+├── .env.example          # Template (version controlled)
+├── .env                  # Local config (gitignored)
+├── .env.development      # Playground dev overrides (gitignored)
+├── .env.local            # Local overrides (gitignored)
 ├── config/
-│   └── README.md        # 本文件
-└── src/core/config.rs   # 配置代碼
+│   ├── README.md         # This file
+│   └── port_registry.tsv # Central port registry
+└── src/core/config.rs    # Config code with lazy_static env reading
 ```
 
-## 配置加載順序
+## Load Order
 
-1. `.env` - 默認本地配置
-2. `.env.local` - 本地覆蓋（最高優先級）
+For `momentry_playground` (development):
+1. `.env` — shared defaults
+2. `.env.development` — dev-specific overrides (loaded by playground binary)
 
-## 環境變數列表
+For `momentry` (production):
+1. `.env` — production config
 
-### 數據庫配置
+In Rust: `config.rs` reads env vars with lazy_static, falling back to hardcoded defaults.
 
-| 變數 | 說明 | 默認值 |
-|------|------|--------|
-| `DATABASE_URL` | PostgreSQL 連接字串 | `postgres://accusys@localhost:5432/momentry` |
+## Environment Variables
 
-### Redis 配置
+### Server
 
-| 變數 | 說明 | 默認值 |
-|------|------|--------|
-| `REDIS_URL` | Redis 連接字串 | `redis://:accusys@localhost:6379` |
-| `REDIS_PASSWORD` | Redis 密碼 | `accusys` |
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `MOMENTRY_SERVER_PORT` | Server port (3002=prod, 3003=dev) | `3002` |
+| `MOMENTRY_REDIS_PREFIX` | Redis key prefix | `momentry:` (prod), `momentry_dev:` (dev) |
 
-### 存儲路徑
+### Database
 
-| 變數 | 說明 | 默認值 |
-|------|------|--------|
-| `MOMENTRY_OUTPUT_DIR` | 輸出目錄 | `/Users/accusys/momentry/output` |
-| `MOMENTRY_BACKUP_DIR` | 備份目錄 | `/Users/accusys/momentry/backup/momentry` |
-| `MOMENTRY_SCRIPTS_DIR` | 腳本目錄 | `/Users/accusys/momentry_core_0.1/scripts` |
-| `MOMENTRY_PYTHON_PATH` | Python 路徑 | `/opt/homebrew/bin/python3.11` |
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `DATABASE_URL` | PostgreSQL connection string | `postgres://accusys@localhost:5432/momentry` |
+| `DATABASE_SCHEMA` | Schema for dev isolation | `dev` |
+| `MONGODB_URL` | MongoDB connection string | `mongodb://localhost:27017` |
+| `MONGODB_DATABASE` | MongoDB database name | `momentry` (prod), `momentry_dev` (dev) |
+| `MONGODB_CACHE_ENABLED` | MongoDB cache toggle | `true` |
+| `MONGODB_CACHE_TTL_VIDEOS` | Cache TTL for videos | `300` |
+| `MONGODB_CACHE_TTL_SEARCH` | Cache TTL for search | `300` |
+| `MONGODB_CACHE_TTL_HYBRID_SEARCH` | Cache TTL for hybrid search | `600` |
+| `MONGODB_CACHE_TTL_VIDEO_META` | Cache TTL for video metadata | `3600` |
 
-### 處理器超時（秒）
+### Redis
 
-| 變數 | 說明 | 默認值 |
-|------|------|--------|
-| `MOMENTRY_ASR_TIMEOUT` | ASR 處理超時 | `3600` |
-| `MOMENTRY_CUT_TIMEOUT` | CUT 處理超時 | `3600` |
-| `MOMENTRY_DEFAULT_TIMEOUT` | 默認超時 | `7200` |
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `REDIS_URL` | Redis connection string | `redis://:accusys@localhost:6379` |
+| `REDIS_PASSWORD` | Redis password | `accusys` |
+| `REDIS_CACHE_TTL_HEALTH` | Health check cache TTL | `30` |
+| `REDIS_CACHE_TTL_VIDEO_META` | Video metadata cache TTL | `3600` |
 
-### 日誌
+### Qdrant
 
-| 變數 | 說明 | 默認值 |
-|------|------|--------|
-| `RUST_LOG` | 日誌級別 | `info` |
-| `MOMENTRY_LOG_LEVEL` | 日誌級別（備選） | `info` |
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `QDRANT_URL` | Qdrant server URL | `http://localhost:6333` |
+| `QDRANT_API_KEY` | Qdrant API key | `Test3200Test3200Test3200` |
+| `QDRANT_COLLECTION` | Collection name | `momentry_rule1` (prod), `momentry_dev_rule1_v2` (dev) |
 
-## 使用方式
+### LLM
 
-### 1. 首次設置
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `MOMENTRY_LLM_CHAT_URL` | Chat/function-calling endpoint | `http://127.0.0.1:8082/v1/chat/completions` |
+| `MOMENTRY_LLM_CHAT_MODEL` | Chat model name | `google_gemma-4-26B-A4B-it-Q5_K_M.gguf` |
+| `MOMENTRY_LLM_VISION_URL` | Vision LLM endpoint (E4B) | falls back to CHAT_URL |
+| `MOMENTRY_LLM_VISION_MODEL` | Vision model name (E4B) | falls back to CHAT_MODEL |
+| `MOMENTRY_LLM_SUMMARY_URL` | Summary LLM endpoint (5W1H) | falls back to CHAT_URL |
+| `MOMENTRY_LLM_SUMMARY_MODEL` | Summary model name | falls back to CHAT_MODEL |
+| `MOMENTRY_LLM_SUMMARY_ENABLED` | Toggle 5W1H summary generation | `true` |
+| `MOMENTRY_LLM_SUMMARY_TIMEOUT` | 5W1H timeout in seconds | `120` |
+| `MOMENTRY_LLM_CHAT_TIMEOUT` | Chat LLM timeout in seconds | `120` |
+| `MOMENTRY_LLM_VISION_TIMEOUT` | Vision LLM timeout in seconds | `120` |
+
+### Embedding
+
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `MOMENTRY_EMBED_URL` | Embedding server URL | `http://localhost:11436` |
+
+### TMDb Integration
+
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `TMDB_API_KEY` | TMDb API key (required for probe) | (none) |
+| `MOMENTRY_TMDB_PROBE_ENABLED` | Enable TMDb probe during register | `false` |
+
+### Paths
+
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `MOMENTRY_OUTPUT_DIR` | Output directory for processing | `/Users/accusys/momentry/output` |
+| `MOMENTRY_BACKUP_DIR` | Backup directory | `/Users/accusys/momentry/backup/momentry` |
+| `MOMENTRY_SCRIPTS_DIR` | Python scripts directory | `/Users/accusys/momentry_core_0.1/scripts` |
+| `MOMENTRY_PYTHON_PATH` | Python interpreter path | `/opt/homebrew/bin/python3.11` |
+| `MOMENTRY_MEDIA_BASE_URL` | Base URL for media serving | (none) |
+
+### Processor Timeouts
+
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `MOMENTRY_ASR_TIMEOUT` | ASR timeout in seconds | `3600` |
+| `MOMENTRY_CUT_TIMEOUT` | CUT timeout in seconds | `3600` |
+| `MOMENTRY_DEFAULT_TIMEOUT` | Default timeout in seconds | `7200` |
+
+### Logging
+
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `RUST_LOG` | Rust log level (tracing) | `info` |
+| `MOMENTRY_LOG_LEVEL` | Fallback log level | `info` |
+
+### Worker
+
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `MOMENTRY_WORKER_ENABLED` | Enable background worker | `true` |
+| `MOMENTRY_MAX_CONCURRENT` | Max concurrent jobs | `6` |
+| `MOMENTRY_POLL_INTERVAL` | Poll interval in seconds | `10` |
+| `MOMENTRY_WORKER_BATCH_SIZE` | Batch size | `5` |
+
+### Synonym Expansion
+
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `MOMENTRY_SYNONYM_FILES` | Comma-separated paths to synonym JSON files | (none) |
+| `MOMENTRY_SYNONYM_FILE` | Single synonym file (deprecated) | (none) |
+
+### Encryption
+
+| Variable | Description | Default |
+|----------|-------------|---------|
+| `AUDIT_ENCRYPTION_KEY` | 32-byte hex encryption key (64 hex chars) | (none) |
+
+## Port Registry
+
+See `config/port_registry.tsv` for the authoritative list of all ports and their owners.
+
+| Port | Service | Owner | Config Key |
+|------|---------|-------|------------|
+| 5432 | PostgreSQL | postgres | `DATABASE_URL` |
+| 6379 | Redis | redis-server | `REDIS_URL` |
+| 6333 | Qdrant | qdrant | `QDRANT_URL` |
+| 8082 | LLM Chat (A4B) | llama-server | `MOMENTRY_LLM_CHAT_URL` |
+| 8083 | LLM Vision (E4B) | llama-server | `MOMENTRY_LLM_VISION_URL` |
+| 11434 | Ollama | ollama | `MOMENTRY_OLLAMA_URL` |
+| 11436 | Embedding | embeddinggemma_server.py | `MOMENTRY_EMBED_URL` |
+| 27017 | MongoDB | mongod | `MONGODB_URL` |
+| 3002 | Production API | momentry | `MOMENTRY_SERVER_PORT` |
+| 3003 | Playground API | momentry_playground | `MOMENTRY_SERVER_PORT` |
+
+## Quick Start
 
 ```bash
-# 複製模板
+# 1. Copy template
 cp .env.example .env
 
-# 編輯配置
-nano .env
+# 2. Edit .env for production or use .env.development for playground
+# 3. Start all services
+./scripts/start_momentry.sh
 ```
 
-### 2. 本地覆蓋
+## Version Control
 
-創建 `.env.local` 設置僅本地適用的配置：
-
-```bash
-# .env.local 示例
-DATABASE_URL=postgres://local:password@localhost:5432/momentry_dev
-MOMENTRY_LOG_LEVEL=debug
-```
-
-### 3. 運行應用
-
-```bash
-# 加載配置並運行
-source .env && cargo run
-
-# 或使用 direnv
-direnv allow
-```
-
-## 版本控制策略
-
-| 文件 | 版本控制 | 說明 |
-|------|---------|------|
-| `.env.example` | ✅ 追蹤 | 模板，包含所有選項 |
-| `.env` | ❌ 忽略 | 本地敏感配置 |
-| `.env.local` | ❌ 忽略 | 本地覆蓋配置 |
-
-## 部署檢查清單
-
-- [ ] 複製 `.env.example` 到 `.env`
-- [ ] 設置數據庫連接
-- [ ] 設置 Redis 密碼
-- [ ] 配置目錄路徑
-- [ ] 確認日誌級別
+| File | Tracked | Purpose |
+|------|---------|---------|
+| `.env.example` | ✅ Yes | Template with all options documented |
+| `.env` | ❌ No | Local sensitive config |
+| `.env.development` | ❌ No | Dev-specific overrides |
+| `.env.local` | ❌ No | Local overrides (highest priority) |

config/development.env

@@ -0,0 +1,47 @@
+# Development Environment Configuration
+# Used by: momentry_playground binary on port 3003
+# 
+# This file extracts development-specific variables from .env.development
+# Startup scripts must export these variables for Python subprocess inheritance
+
+# Server Configuration
+MOMENTRY_SERVER_PORT=3003
+MOMENTRY_REDIS_PREFIX=momentry_dev:
+
+# Database Schema
+DATABASE_SCHEMA=dev
+
+# Output Directory (CRITICAL for Python scripts)
+MOMENTRY_OUTPUT_DIR=/Users/accusys/momentry/output_dev
+
+# Backup Directory
+MOMENTRY_BACKUP_DIR=/Users/accusys/momentry/backup/momentry_dev
+
+# Storage
+MOMENTRY_SFTP_ROOT=/Users/accusys/momentry/var/sftpgo/data/demo/
+
+# Python Path (venv for development)
+MOMENTRY_PYTHON_PATH=/Users/accusys/momentry_core/venv/bin/python
+MOMENTRY_SCRIPTS_DIR=/Users/accusys/momentry_core/scripts
+
+# Logging
+RUST_LOG=info
+MOMENTRY_LOG_LEVEL=info
+
+# Worker Configuration
+MOMENTRY_WORKER_ENABLED=true
+MOMENTRY_MAX_CONCURRENT=6
+MOMENTRY_POLL_INTERVAL=10
+MOMENTRY_WORKER_BATCH_SIZE=5
+
+# TMDb Integration
+TMDB_API_KEY=e9cde52197f6f8df4d9db99da93db1fb
+MOMENTRY_TMDB_PROBE_ENABLED=true
+
+# LLM Configuration
+MOMENTRY_LLM_SUMMARY_URL=http://127.0.0.1:8000/v1/chat/completions
+MOMENTRY_LLM_SUMMARY_MODEL=gemma-4-E4B
+MOMENTRY_LLM_SUMMARY_ENABLED=true
+
+# Embedding
+MOMENTRY_EMBED_URL=http://localhost:11436

config/port_registry.tsv

@@ -0,0 +1,24 @@
+# Port Registry - Momentry Core
+# Each port must have exactly one owner.
+# Before adding a service: pick a free port, add a row here, then configure.
+#
+# Port	Service		Owner			Config Key			Default			Source
+22	ssh		sshd			-				-			macOS
+80	http		Caddy			-				-			Caddyfile
+443	https		Caddy			-				-			Caddyfile
+2019	caddy-admin	Caddy			-				-			Caddyfile (internal)
+3000	gitea		gitea			-				3000			start_momentry.sh
+3002	production	momentry		MOMENTRY_SERVER_PORT		3002			run-server-3002.sh
+3003	playground	momentry_playground	MOMENTRY_SERVER_PORT		3003			start_momentry.sh
+3200	dashboard	Caddy			-				-			Caddyfile
+3306	mariadb		mariadbd		-				3306			start_momentry.sh
+5432	postgresql	postgres		DATABASE_URL			postgres://...:5432	start_momentry.sh
+6379	redis		redis-server		REDIS_URL			redis://...:6379	start_momentry.sh
+6333	qdrant		qdrant			QDRANT_URL			http://...:6333		start_momentry.sh
+8081	wordpress	Caddy			-				-			Caddyfile
+8082	llm-chat	llama-server		MOMENTRY_LLM_CHAT_URL		http://...:8082		start_momentry.sh
+8083	llm-vision	llama-server		MOMENTRY_LLM_VISION_URL		http://...:8083		start_momentry.sh
+9000	php-fpm		php-fpm			-				9000			brew services
+11434	ollama		ollama			MOMENTRY_OLLAMA_URL		http://...:11434	start_momentry.sh
+11436	embedding	embeddinggemma		MOMENTRY_EMBED_URL		http://...:11436	start_momentry.sh
+27017	mongodb		mongod			MONGODB_URL			mongodb://...:27017	start_momentry.sh

config/production.env

@@ -0,0 +1,39 @@
+# Production Environment Configuration
+# Used by: momentry binary on port 3002
+# 
+# This file extracts production-specific variables from .env
+# Startup scripts must export these variables for Python subprocess inheritance
+
+# Server Configuration
+MOMENTRY_SERVER_PORT=3002
+MOMENTRY_REDIS_PREFIX=momentry:
+
+# Database Schema
+DATABASE_SCHEMA=public
+
+# Output Directory (CRITICAL for Python scripts)
+MOMENTRY_OUTPUT_DIR=/Users/accusys/momentry/output
+
+# Backup Directory
+MOMENTRY_BACKUP_DIR=/Users/accusys/momentry/backup/momentry
+
+# Storage
+MOMENTRY_STORAGE_ROOT=/Users/accusys/momentry/var/sftpgo/data
+
+# Python Path
+MOMENTRY_PYTHON_PATH=/opt/homebrew/bin/python3.11
+
+# Logging
+RUST_LOG=debug
+MOMENTRY_LOG_LEVEL=debug
+
+# Worker Configuration
+MOMENTRY_WORKER_ENABLED=true
+MOMENTRY_MAX_CONCURRENT=6
+MOMENTRY_POLL_INTERVAL=10
+MOMENTRY_WORKER_BATCH_SIZE=5
+MOMENTRY_FORCE_RETRY=true
+
+# TMDb Integration
+TMDB_API_KEY=e9cde52197f6f8df4d9db99da93db1fb
+MOMENTRY_TMDB_PROBE_ENABLED=true

config/production.toml

@@ -0,0 +1,123 @@
+# Momentry Core Production Configuration
+# Version: 1.0.0
+# Effective: 2025-03-27
+
+[server]
+host = "0.0.0.0"
+port = 3002
+workers = 4
+log_level = "info"
+max_connections = 1000
+keep_alive = 75
+
+[database]
+url = "postgres://accusys@localhost:5432/momentry"
+pool_size = 20
+idle_timeout = 300
+max_lifetime = 1800
+
+[redis]
+url = "redis://:accusys@localhost:6379"
+prefix = "momentry:"
+pool_size = 50
+connection_timeout = 5
+read_timeout = 3
+write_timeout = 3
+
+[storage]
+output_dir = "/Users/accusys/momentry/output"
+backup_dir = "/Users/accusys/momentry/backup"
+max_file_size = "10GB"
+
+[processors]
+asr_timeout = 7200    # 2 hours for long videos
+ocr_timeout = 3600    # 1 hour
+yolo_timeout = 14400  # 4 hours
+face_timeout = 3600   # 1 hour
+pose_timeout = 7200   # 2 hours
+asrx_timeout = 10800  # 3 hours for speaker diarization
+cut_timeout = 7200    # 2 hours for scene detection
+caption_timeout = 3600 # 1 hour for captioning
+story_timeout = 3600  # 1 hour for story generation
+default_timeout = 7200
+max_concurrent = 2    # Limit to prevent overload
+
+[asr]
+model_size = "medium"
+device = "cpu"
+language = "auto"
+task = "transcribe"
+beam_size = 5
+best_of = 5
+
+[ocr]
+languages = "en"
+confidence = 0.7
+gpu = false
+model_path = "~/.EasyOCR/model"
+
+[yolo]
+model_size = "yolov8n.pt"
+confidence = 0.25
+iou = 0.45
+gpu = false
+auto_save_interval = 30
+auto_save_frames = 300
+classes = ""  # empty = all classes
+
+[face]
+method = "haar"
+confidence = 0.5
+min_size = 30
+max_size = 300
+scale_factor = 1.1
+min_neighbors = 3
+gpu = false
+gpu_backend = "cpu"  # cpu, cuda, mps, rocm
+enable_mps = false
+
+[pose]
+model_size = "yolov8n-pose.pt"
+confidence = 0.25
+iou = 0.45
+gpu = false
+keypoint_confidence = 0.5
+max_persons = 10
+
+[asrx]
+model_size = "medium"
+device = "cpu"
+language = "en"
+batch_size = 16
+diarization = true
+min_speakers = 1
+max_speakers = 10
+
+[cut]
+method = "content"
+threshold = 27.0
+min_scene_length = 0.5
+show_progress = true
+
+[caption]
+model = "gpt-4"
+max_tokens = 1000
+temperature = 0.7
+
+[story]
+model = "gpt-4"
+max_tokens = 2000
+temperature = 0.8
+
+[audit]
+enabled = true
+log_file = "/Users/accusys/momentry/logs/audit.log"
+retention_days = 90
+
+[monitoring]
+enabled = true
+metrics_port = 9090
+health_check_interval = 30
+alert_threshold_cpu = 80
+alert_threshold_memory = 85
+alert_threshold_disk = 90

deliverable_v1.1.0/AGENTS.md

@@ -0,0 +1,761 @@
+# AGENTS.md - Momentry Core
+
+Rust-based digital asset management system with video analysis and RAG capabilities.
+
+---
+
+## ⚠️ CRITICAL: 開發隔離原則
+
+### 絕對禁止事項
+- **絕對不可修改 `/Users/accusys/wordpress/` 目錄下的任何檔案**
+- **絕對不可修改 n8n 工作流或設定**
+- **絕對不可修改 WordPress 或 n8n 的資料庫 table**
+- **除非是 release 作業，絕對不可動 port 3002 (production)**
+- **🔴 DELETE / REMOVE / DROP / CLEAR 任何資料前必須先問使用者「要刪嗎？」獲得明確同意後才能執行**
+- **🔴 Qdrant collection 刪除、DB truncate、檔案刪除、資料清空 — 一律要先問**
+- **🔴 不確定是否該刪 → 先問，不要自己決定**
+
+### 開發範圍界定
+| 範圍 | 狀態 | 說明 |
+|------|------|------|
+| `momentry_core_0.1/` | ✅ **可開發** | Momentry Core 主要開發目錄 |
+| `momentry_core_0.1/portal/` | ✅ **可開發** | Tauri Portal 前端 |
+| `momentry_core_0.1/src/` | ✅ **可開發** | Rust 後端程式碼 |
+| `/Users/accusys/wordpress/` | ❌ **禁止修改** | WordPress/Marcom 團隊負責 |
+| n8n 工作流 | ❌ **禁止修改** | 自動化流程，與 dev 無關 |
+| WordPress/n8n 資料庫 table | ❌ **禁止修改** | Marcom 團隊管理，與 dev 無關 |
+
+### 開發環境
+| 服務 | Port | 用途 | 命令 |
+|------|------|------|------|
+| Playground | 3003 | **唯一開發環境** | `cargo run --bin momentry_playground -- server` |
+| Production | 3002 | ❌ 禁止修改 | `cargo run -- server` (僅 release 時) |
+| Portal (Tauri) | 1420 | 前端開發 | `npm run tauri dev` |
+
+## ⚠️ 交叉污染防制 (Cross-Contamination Prevention)
+
+**每個執行前必須評估是否會汙染其他獨立作業。**
+
+### Scope Isolation Matrix
+
+| 執行內容 | 允許的 Scope | 禁止影響 | 檢查事項 |
+|----------|-------------|----------|----------|
+| M4 delivery binary | `target/release/momentry` | Playground (3003), Production (3002) | 確認舊 process 未被誤殺 |
+| Playground server | `localhost:3003`, `dev.*` schema | Production (3002), `public.*` schema | `DATABASE_SCHEMA=dev` |
+| Production deploy | `localhost:3002`, `public.*` schema | Playground (3003), `dev.*` schema | 先停 production，不影響 playground |
+| Git commit | 只包含意圖修改的檔案 | 無關的 untracked files | `git status` 確認 stage 內容正確 |
+| CI / packaged tests | 測試環境 | 正式資料 | 測試用 DB 不能連到 production |
+| Doc changes | 指定文件 | 其他文件、程式碼 | `git diff --stat` 檢查 scope |
+| SQL migration | 目標 schema | 其他 schema、無關 table | `WHERE` clause 要精準 |
+| `sed` / `grep` / mass edit | 目標檔案集 | 非目標檔案 | 先用 `grep -c` 確認只有目標檔案匹配 |
+
+### Recent Violations / Near-Misses
+
+| 事件 | 問題 | 防止方式 |
+|------|------|----------|
+| `sed` API doc 編號 | `sed -i '' 's/.../.../g'` 改到所有行 | 先 `grep -c` 確認匹配，`git diff` 再提交 |
+| 亂加 `/api/v1/register` route | 不必要的 API 別名，汙染路由表 | 角色切換：路由設計不該由實作方決定 |
+| `API_WORKSPACE/` vs `GUIDES/` vs `REFERENCE/` vs `DESIGN/` vs `OPERATIONS/` vs `INTEGRATIONS/` | 文件放到錯誤分類 | API 文件改在 API_WORKSPACE/modules/ 編輯，`make deploy` 生成到 GUIDES/ |
+| Build release binary in plan mode | 浪費時間，無意義 | 嚴格遵守 plan/build mode 規定 |
+
+### ⛔ 嚴格測試隔離規則 (Strict Test Isolation)
+- **所有測試 (Test) 必須在 Dev (3003) 進行**。
+- **絕對禁止 (ABSOLUTELY FORBIDDEN)** 在任何測試指令、Demo 流程或 API 檢查中使用 `localhost:3002`。
+- 即使是「測試 Unregister」或「檢查版本」，若未明確標示為 "Production Deployment"，一律視為違規。
+- **預設行為**: 所有 curl, CLI, 或程式碼測試指令，預設 URL 必須為 `http://localhost:3003`。
+
+### 違反後果
+- 修改 WordPress/n8n 可能影響 marcom 團隊工作與生產環境
+- 修改 WordPress/n8n 資料庫 table 可能破壞自動化流程與資料完整性
+- 修改 port 3002 可能中斷正在使用的服務 (這是非常嚴重的錯誤)
+- 所有 dev 測試必須在 playground (3003) 進行
+
+---
+
+## AI Coding Principles (Karpathy-Inspired)
+
+Behavioral guidelines to reduce common LLM coding mistakes.
+Source: [andrej-karpathy-skills](https://github.com/forrestchang/andrej-karpathy-skills) (94K stars)
+
+**Tradeoff:** These guidelines bias toward caution over speed. For trivial tasks, use judgment.
+
+### 1. Think Before Coding
+
+**Don't assume. Don't hide confusion. Surface tradeoffs.**
+
+- State your assumptions explicitly. If uncertain, ask.
+- If multiple interpretations exist, present them - don't pick silently.
+- If a simpler approach exists, say so. Push back when warranted.
+- If something is unclear, stop. Name what's confusing. Ask.
+
+### 2. Simplicity First
+
+**Minimum code that solves the problem. Nothing speculative.**
+
+- No features beyond what was asked.
+- No abstractions for single-use code.
+- No "flexibility" or "configurability" that wasn't requested.
+- No error handling for impossible scenarios.
+- If you write 200 lines and it could be 50, rewrite it.
+
+Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.
+
+### 3. Surgical Changes
+
+**Touch only what you must. Clean up only your own mess.**
+
+When editing existing code:
+- Don't "improve" adjacent code, comments, or formatting.
+- Don't refactor things that aren't broken.
+- Match existing style, even if you'd do it differently.
+- If you notice unrelated dead code, mention it - don't delete it.
+
+When your changes create orphans:
+- Remove imports/variables/functions that YOUR changes made unused.
+- Don't remove pre-existing dead code unless asked.
+
+The test: Every changed line should trace directly to the user's request.
+
+### 4. Goal-Driven Execution
+
+**Define success criteria. Loop until verified.**
+
+Transform tasks into verifiable goals:
+- "Add validation" -> "Write tests for invalid inputs, then make them pass"
+- "Fix the bug" -> "Write a test that reproduces it, then make it pass"
+- "Refactor X" -> "Ensure tests pass before and after"
+
+For multi-step tasks, state a brief plan:
+```
+1. [Step] -> verify: [check]
+2. [Step] -> verify: [check]
+3. [Step] -> verify: [check]
+```
+
+Strong success criteria let you loop independently. Weak criteria ("make it work") require constant clarification.
+
+---
+
+These guidelines are working if: fewer unnecessary changes in diffs, fewer rewrites due to overcomplication, and clarifying questions come before implementation rather than after mistakes.
+
+---
+
+## Terminology (V4.0)
+
+| Term | Scope | Description | Example |
+|------|-------|-------------|---------|
+| **file_uuid** | Video file | Video file identifier (renamed from `video_uuid`) | `384b0ff44aaaa1f1` |
+| **identity_uuid** | Global identity | Global person identity (cross-file) | `a9a90105-6d6b-46ff-92da-0c3c1a57dff4` |
+| **face_id** | Single detection | Single face detection (frame-level) | `face_100` |
+| **trace_id** | Face tracking | Face tracking ID (Face Tracker output) | `2` |
+| **chunk_id** | Sentence chunk | Sentence chunk (from pre_chunks via rules) | `chunk_1` |
+| **speaker_id** | Speaker segment | Speaker ID (from ASRX) | `SPEAKER_0` |
+| **person_id** | ❌ **Deprecated** | Video-local person ID (removed in V4.0) | - |
+
+### Architecture (V4.0)
+
+```
+Face → Identity (Two-layer, direct binding)
+  ↓
+  person_identities table: REMOVED
+  file_identities table: ADDED (N:N relationship)
+```
+
+### Key Changes (V3.x → V4.0)
+
+| Change | V3.x | V4.0 |
+|--------|------|------|
+| **video_uuid** | Used everywhere | **file_uuid** |
+| **person_identities** | Required (303 records) | **Removed** |
+| **person_id APIs** | 28 endpoints | **Removed** (except register/bind) |
+| **Face binding** | Person → Identity | **Face → Identity** (direct) |
+| **Chunk binding** | Manual | **Auto** (time alignment) |
+
+---
+
+## Build & Run Commands
+
+```bash
+# Build project (use debug builds for development/testing)
+cargo build
+cargo build --bin momentry
+cargo build --bin momentry_playground
+
+# Build all binaries
+cargo build --bins
+
+# Run CLI
+cargo run -- --help
+cargo run -- register /path/to/video.mp4
+cargo run -- server --host 0.0.0.0 --port 3002
+
+# Run playground (development binary)
+cargo run --bin momentry_playground -- server
+cargo run --bin momentry_playground -- --help
+```
+
+### ⚠️ CRITICAL: `cargo build --release` PROHIBITION
+- **NEVER run `cargo build --release` unless the user explicitly says "release the binary" or "正式 release"**
+- `cargo build --release` is SLOW and only needed when producing a production binary for deployment
+- For all development, testing, debugging, and linting: use `cargo build` or `cargo check`
+- If uncertain, ALWAYS ask the user first
+
+## Binaries
+
+| Binary | Purpose | Port | Redis Prefix | Environment |
+|--------|---------|------|--------------|-------------|
+| `momentry` | Production | 3002 | `momentry:` | `.env` |
+| `momentry_playground` | Development | 3003 | `momentry_dev:` | `.env.development` |
+| `momentry_player` | Video player | - | - | - |
+
+## Testing
+
+```bash
+# Run all tests
+cargo test
+
+# Run single test by name
+cargo test test_name
+
+# Run with output
+cargo test -- --nocapture
+
+# Doc tests
+cargo test --doc
+```
+
+## Linting & Formatting
+
+```bash
+# Format code (edition=2021, max_width=100, tab_spaces=4)
+cargo fmt
+cargo fmt -- --check
+
+# Lint
+cargo clippy
+cargo clippy --all-features
+
+# Check for errors
+cargo check
+cargo check --all-features
+```
+
+## Code Style
+
+### General
+- Use Rust 2021 edition
+- Use tracing for logging (not println!)
+- Keep lines under 100 characters
+
+### Imports (order: std → external → local)
+```rust
+use std::path::Path;
+use anyhow::{Context, Result};
+use async_trait::async_trait;
+use serde::{Deserialize, Serialize};
+
+use crate::core::chunk::Chunk;
+```
+
+### Error Handling
+- Use `anyhow::Result<T>` for application code
+- Use `thiserror` for library code
+- Use `.context()` for error context
+- Use `anyhow::bail!()` for early returns
+
+```rust
+fn example() -> Result<SomeType> {
+    let output = Command::new("ffprobe")
+        .args([...])
+        .output()
+        .context("Failed to run ffprobe")?;
+
+    if !output.status.success() {
+        anyhow::bail!("Command failed");
+    }
+    Ok(result)
+}
+```
+
+### Naming
+- Types/Enums: PascalCase (`VideoRecord`, `ChunkType`)
+- Functions/Variables: snake_case (`get_video_by_uuid`)
+- Traits: PascalCase with -er suffix (`Database`, `ChunkStore`)
+- Files: snake_case (`postgres_db.rs`)
+
+### Types
+- Use `serde::{Deserialize, Serialize}` for serializable types
+- Use `#[serde(rename_all = "snake_case")]` for enum variants
+- Use explicit numeric types (i64, u32, f64)
+
+```rust
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct VideoRecord {
+    pub id: i64,
+    pub uuid: String,
+    pub duration: f64,
+    pub width: u32,
+}
+
+#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq)]
+#[serde(rename_all = "snake_case")]
+pub enum ChunkType {
+    TimeBased,
+    Sentence,
+    Cut,
+}
+```
+
+### Async Programming
+- Use `tokio` runtime with full features
+- Use `#[async_trait]` for async trait methods
+
+```rust
+#[async_trait]
+pub trait Database: Send + Sync {
+    async fn init() -> Result<Self>
+    where Self: Sized;
+}
+```
+
+## Code Structure
+
+```
+src/
+├── main.rs           # CLI entry point
+├── lib.rs            # Library exports
+├── core/
+│   ├── api_key/     # API key management (anomaly, blacklist, encryption, etc.)
+│   ├── chunk/        # Chunking logic
+│   ├── config.rs     # Centralized configuration (env vars)
+│   ├── db/          # Database (PostgreSQL, MongoDB, Redis, Qdrant)
+│   ├── embedding/   # Vector embeddings
+│   ├── overlay/     # Video overlay
+│   ├── probe/       # ffprobe integration
+│   ├── processor/   # ASR, OCR, YOLO, Face, Pose, CUT, ASRX
+│   │   └── executor.rs  # Unified Python script executor
+│   ├── storage/     # File management
+│   └── thumbnail/   # Thumbnail extraction
+├── api/              # HTTP API (axum)
+├── player/           # Video player
+├── ui/               # TUI components
+└── watcher/          # File system watcher
+```
+
+## Key Dependencies
+
+- **Error handling**: `anyhow`, `thiserror`
+- **Async**: `tokio` (full features), `async-trait`
+- **CLI**: `clap` (derive)
+- **Serialization**: `serde`, `serde_json`, `chrono`
+- **Database**: `sqlx`, `mongodb`, `redis` (1.0), `qdrant-client`
+- **HTTP**: `axum`, `tower`
+- **Logging**: `tracing`, `tracing-subscriber`
+- **Config**: `once_cell` (lazy static config)
+
+## Environment Variables
+
+### Server
+- `MOMENTRY_SERVER_PORT` - API server port (default: `3002` for production, `3003` for playground)
+- `MOMENTRY_REDIS_PREFIX` - Redis key prefix (default: `momentry:` for production, `momentry_dev:` for playground)
+- `MOMENTRY_API_KEY` - API key for Player online mode testing
+
+### Testing API Key
+```bash
+export MOMENTRY_API_KEY="muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69"
+
+# Test Player online mode
+cargo run --features player --bin momentry_player -- -o
+```
+
+### Database
+- `DATABASE_URL` - PostgreSQL (default: `postgres://accusys@localhost:5432/momentry`)
+
+### Redis
+- `REDIS_URL` - Redis URL (default: `redis://:accusys@localhost:6379`)
+- `REDIS_PASSWORD` - Redis password (default: `accusys`)
+
+### Paths
+- `MOMENTRY_OUTPUT_DIR` - Output directory (default: `/Users/accusys/momentry/output`)
+- `MOMENTRY_BACKUP_DIR` - Backup directory
+- `MOMENTRY_PYTHON_PATH` - Python path (default: `/opt/homebrew/bin/python3.11`)
+- `MOMENTRY_SCRIPTS_DIR` - Scripts directory
+
+### Processor Timeouts
+- `MOMENTRY_ASR_TIMEOUT` - ASR timeout in seconds (default: 3600)
+- `MOMENTRY_CUT_TIMEOUT` - CUT timeout in seconds (default: 3600)
+- `MOMENTRY_DEFAULT_TIMEOUT` - Default timeout (default: 7200)
+
+### TMDb Integration (Face Clustering)
+- `TMDB_API_KEY` - TMDb API key for movie metadata lookup (required for `MOMENTRY_TMDB_PROBE_ENABLED=true`)
+- `MOMENTRY_TMDB_PROBE_ENABLED` - Enable TMDb probe during registration (default: `false`)
+  - Register phase: searches TMDb by filename, creates identities with tmdb_id/tmdb_profile
+  - Post-process phase: matches detected faces against TMDb identities via cosine similarity
+
+### Synonym Expansion
+- `MOMENTRY_SYNONYM_FILES` - Comma-separated paths to synonym JSON files (e.g., `data/english_synonyms.json,data/llm_synonyms.json`)
+- `MOMENTRY_SYNONYM_FILE` - Single synonym JSON file path (deprecated, use above)
+
+### Logging
+- `RUST_LOG` or `MOMENTRY_LOG_LEVEL` - Log level (default: `info`)
+
+## Notes
+
+- Unit tests exist (86 library tests)
+- Video processing uses external tools (ffprobe, Python scripts)
+- Multi-database architecture (PostgreSQL, MongoDB, Redis, Qdrant)
+- Monitor directory is a separate system (not Rust)
+- PythonExecutor provides unified script execution with timeout support
+- Redis 1.0.x for improved performance
+- FaceNet CoreML model (`models/facenet512.mlpackage`) replaces InsightFace for embedding extraction (MIT license, ANE-accelerated)
+
+### LLM Synonym Generation
+
+Generate synonym database using llama.cpp (Gemma4):
+
+```bash
+# Generate full database (162 entries, ~5 minutes)
+python3 scripts/generate_synonyms_llamacpp.py
+
+# Quick test
+python3 scripts/generate_synonyms_llamacpp.py --test
+
+# Resume from existing file
+python3 scripts/generate_synonyms_llamacpp.py --resume
+
+# Output: data/llm_synonyms.json (27 Chinese + 135 English words)
+```
+
+## Task Management
+
+### 使用 todowrite 追蹤任務
+```bash
+# 創建任務清單
+/todo 建立配置模組 [in_progress]
+/todo 添加單元測試 [pending]
+
+# 更新狀態
+/todo 完成標記 [completed]
+```
+
+### 任務批次建議
+- 一次處理 1-2 個功能
+- 每個功能完成後驗證 (clippy + test)
+- 驗證通過後再繼續下一個
+
+## Code Review Checklist
+
+完成任務後檢查：
+- [ ] `cargo clippy --lib` 通過
+- [ ] `cargo test --lib` 通過
+- [ ] `cargo fmt -- --check` 通過
+- [ ] 文檔已更新 (如需要)
+- [ ] 新功能有單元測試
+
+## Commit Guidelines
+
+```bash
+# feat: 新功能
+git commit -m "feat: add monitor_jobs table"
+
+# fix: 錯誤修復
+git commit -m "fix: resolve SQL injection in store_vector"
+
+# refactor: 重構
+git commit -m "refactor: use parameterized queries"
+
+# docs: 文檔更新
+git commit -m "docs: update AGENTS.md with new modules"
+```
+
+## Pre-commit Hook
+
+專案已配置 `.git/hooks/pre-commit`，提交前自動檢查：
+
+```bash
+# 檢查內容
+1. cargo fmt --check    # Rust 格式化檢查
+2. cargo clippy --lib   # Rust Lint 檢查
+3. cargo test --lib     # Rust 單元測試
+4. ruff check           # Python Lint 檢查
+5. ruff format --check  # Python 格式化檢查
+6. markdownlint         # Markdown 格式檢查
+7. shellcheck           # Shell 腳本檢查
+
+# 跳過檢查（不建議）
+git commit --no-verify
+
+# 跳過特定檢查
+git commit --skip-checks
+```
+
+**注意**: Hook 僅檢查已暫存的 Rust/Python/Markdown 文件。
+
+### Python 環境設置
+```bash
+# 安裝 ruff
+pip install ruff==0.11.2
+
+# 格式化 Python 文件
+ruff format scripts/
+
+# Lint Python 文件
+ruff check scripts/
+```
+
+### Markdown 環境設置
+```bash
+# 安裝 markdownlint-cli (使用系統 Node.js)
+npm install -g markdownlint-cli
+
+# 檢查 Markdown 文件
+markdownlint docs/
+
+# 配置檔案
+.markdownlint.json
+```
+
+### Shell 環境設置
+```bash
+# 安裝 shellcheck
+brew install shellcheck
+
+# 檢查 Shell 腳本
+shellcheck scripts/*.sh monitor/**/*.sh
+```
+
+**注意**: Hook 只檢查 error 等級的 shellcheck 問題，style 警告會顯示但不阻擋提交。
+
+## Release Workflow
+
+### Release 前準備
+每次 release production binary 前，必須：
+
+1. **建立 Release Tag**
+   ```bash
+   git tag -a v0.X.X -m "Release vX.X.X - YYYY-MM-DD"
+   git push origin v0.X.X
+   ```
+
+2. **備份獨立 Source Code**
+   ```bash
+   # 建立 release 獨立目錄
+   RELEASE_DIR="/Users/accusys/momentry_core_releases/v0.X.X"
+   mkdir -p "$RELEASE_DIR"
+   
+   # 複製完整原始碼（排除不必要的檔案）
+   rsync -av --exclude='.git' --exclude='target' --exclude='node_modules' \
+         /Users/accusys/momentry_core_0.1/ "$RELEASE_DIR/"
+   
+   # 記錄 release 資訊
+   echo "Release: v0.X.X" > "$RELEASE_DIR/RELEASE_INFO.txt"
+   echo "Date: $(date)" >> "$RELEASE_DIR/RELEASE_INFO.txt"
+   echo "Git Commit: $(git rev-parse HEAD)" >> "$RELEASE_DIR/RELEASE_INFO.txt"
+   echo "Binary: $(ls -la target/release/momentry)" >> "$RELEASE_DIR/RELEASE_INFO.txt"
+   ```
+
+3. **備份 Binary**
+   ```bash
+   cp target/release/momentry "$RELEASE_DIR/momentry_v0.X.X"
+   cp target/release/momentry_playground "$RELEASE_DIR/momentry_playground_v0.X.X" 2>/dev/null
+   ```
+
+4. **記錄資料庫 Schema**
+   ```bash
+   pg_dump -U accusys -d momentry --schema-only > "$RELEASE_DIR/schema_v0.X.X.sql"
+   ```
+
+### 重要性
+- 避免 release binary 與 current source code 不一致
+- 方便追蹤特定 release 的程式碼狀態
+- 必要時可快速復原或比對差異
+- 確保資料庫 schema 與程式碼版本對應
+
+## Reference Documents
+
+| 文件 | 用途 |
+|------|------|
+| `docs/OPENCODE_GUIDE.md` | OpenCode 使用規範 |
+| `docs/ARCHITECTURE_EVALUATION.md` | 架構優化待評估項目 (含 GraphRAG) |
+| `docs/PENDING_ISSUES.md` | 待解決問題追蹤 |
+| `docs/MOMENTRY_CORE_MONITORING.md` | 監控系統規範 |
+| `docs/MOMENTRY_CORE_REDIS_KEYS.md` | Redis Key 設計規範 |
+| `docs/PYTHON.md` | Python 腳本規範 |
+| `docs/FILE_CHANGE_MANAGEMENT.md` | 文件修改管理規範 |
+| `docs/YOLO_RESUME_INTEGRATION.md` | YOLO Resume 功能整合記錄 |
+| `docs/DOCUMENT_EMBEDDING_STRATEGY.md` | Parent-Child 嵌入策略 |
+| `docs/PROCESSING_PIPELINE.md` | 處理流程文檔 |
+| `docs/N8N_DEMO_WORKFLOW.md` | n8n 工作流文檔 |
+| `docs/FRESH_MAC_INSTALLATION.md` | 全新 Mac 安裝指南 |
+| `docs/SERVICES.md` | 服務總覽與管理 |
+| `docs/SFTPGO_DEMO_USER.md` | SFTPGo 用戶指南 |
+
+## Document Change Workflow
+
+修改文件前請參考 `docs/FILE_CHANGE_MANAGEMENT.md`，確保：
+
+1. **修改前**：完整閱讀文件、執行預檢清單
+2. **修改中**：提供變更計畫、取得確認
+3. **修改後**：展示 diff、更新版本歷史
+4. **驗證**：執行 lint/test、提交前審查
+
+### AI 工具修改規範
+
+AI 工具修改文件時：
+- 必須先完整閱讀文件（不可只讀取部分章節）
+- 修改前先提出變更計畫供確認
+- 修改後展示 diff 內容
+- 更新版本歷史表
+
+## PHP Development
+
+WordPress 作為 Momentry Portal，負責 n8n 自動化與 sftpgo 檔案服務的頁面整合。
+
+### 編輯器設定
+
+| 編輯器 | LSP 方案 | 安裝方式 |
+|--------|----------|----------|
+| VS Code | Intelephense | Extension Marketplace (推薦) |
+| Cursor | Intelephense | Extension Marketplace (推薦) |
+| CLI | phpactor | `~/bin/phpactor` |
+
+### Intelephense (VS Code/Cursor)
+
+1. 安裝 Extension: 搜尋 "Intelephense"
+2. 設定:
+```json
+{
+  "intelephense.stubs": ["wordpress"]
+}
+```
+
+### phpactor (CLI)
+
+```bash
+# 安裝方式
+brew install composer
+curl -sSL https://github.com/phpactor/phpactor/releases/latest/download/phpactor.phar -o ~/bin/phpactor
+chmod +x ~/bin/phpactor
+
+# 安裝 WordPress Stubs
+cd /Users/accusys/wordpress/web
+composer require --dev php-stubs/wordpress-stubs
+
+# 建立 WordPress 索引
+cd /Users/accusys/wordpress/web
+~/bin/phpactor index:build --reset
+
+# 常用指令
+~/bin/phpactor class:search "WP_User"      # 搜尋類別
+~/bin/phpactor index:query WP_User          # 查看類別資訊
+~/bin/phpactor navigate /path/to/file.php  # 導航到定義
+```
+
+### WordPress 程式碼位置
+| 類型 | 路徑 |
+|------|------|
+| 主題 | `/Users/accusys/wordpress/web/wp-content/themes/` |
+| 插件 | `/Users/accusys/wordpress/web/wp-content/plugins/` |
+
+### 與 marcom 團隊協作
+| 角色 | 負責 |
+|------|------|
+| marcom 團隊 | Figma 設計 / Elementor 建構 |
+| OpenCode | 程式碼實作 / 重構 |
+
+### 開發時程
+```
+Phase 1: marcom 建構 (現在)    → Elementor 頁面建構
+Phase 2: 交付審視 (TBD)      → 功能確認 / 重構評估
+Phase 3: OpenCode 重構        → 純程式碼實作，交付無 Elementor 依賴版本
+```
+
+## M4 通知規範
+
+### 固定通知方式
+
+通知 M4 的唯一管道：**`M4_workspace/` 下建立回覆文件 + `git commit`**。不需口頭、即時訊息、郵件。
+
+### 命名規則
+
+```
+docs_v1.0/M4_workspace/YYYY-MM-DD_<topic>_response.md   (回覆 M4 問題)
+docs_v1.0/M4_workspace/YYYY-MM-DD_<topic>.md             (主動通報)
+docs_v1.0/M4_workspace/YYYY-MM-DD_<topic>_test_report.md (測試報告)
+```
+
+### 觸發時機
+
+| 情境 | 動作 |
+|------|------|
+| M4 提交問題報告到 `M4_workspace/` | 修復後，回覆 `*_response.md` |
+| 完成 M4 要求的任務 | 回覆 `*_response.md` |
+| 重大變更（模型替換、架構變更） | 主動通知 `*.md` |
+| 新測試包產出 | `*_test_report.md` |
+
+### 交付檢查
+
+1. 文件寫入 `docs_v1.0/M4_workspace/`
+2. `git add` 包含該文件
+3. `git commit` 含相關變更
+4. M4 透過 git log 查看
+
+詳細規範見 `docs_v1.0/M4_workspace/M4_NOTIFICATION_PROTOCOL.md`。
+
+## UUID Naming Rule
+
+**Never use bare `uuid` in API route paths, query params, JSON keys, or code variable names. Always qualify:**
+
+| Context | Must use | Never |
+|---------|----------|-------|
+| Video/file resource | `file_uuid` | `uuid` |
+| Identity resource | `identity_uuid` | `uuid` |
+| Query parameter | `file_uuid=`, `identity_uuid=` | `uuid=` |
+| Route path | `:file_uuid`, `:identity_uuid` | `:uuid` |
+| JSON key | `"file_uuid"`, `"identity_uuid"` | `"uuid"` |
+
+This applies to docs, code, API responses, and curl examples. Exceptions: internal database primary key names (e.g. `identities.uuid` column).
+
+## Document Compliance Checklist
+
+Before creating any file in `docs_v1.0/` (API_WORKSPACE, GUIDES, REFERENCE, DESIGN, OPERATIONS, INTEGRATIONS), verify all items below.
+**IMPORTANT**: API functional documents are generated from `API_WORKSPACE/modules/`. Edit modules there, then run `make deploy` in `API_WORKSPACE/` to update `GUIDES/`. Never edit generated files in `GUIDES/` directly. See `DESIGN/Modular_Doc_System_V1.0.md` for the full system design.
+
+### P0 — Mandatory (7 items)
+
+| # | Check | Rule |
+|---|-------|------|
+| 1 | YAML frontmatter | `title`, `version`, `date`, `author`, `status` present |
+| 2 | Version history | Table at bottom of file tracking changes |
+| 3 | Top info table | scope, status, applicable to, etc. |
+| 4 | PascalCase filename | e.g. `DetectorRegistry.md`, not `detector_registry.md` |
+| 5 | `_` separator | Within filenames use `_`, never spaces or other chars |
+| 6 | English content | Entire file in English |
+| 7 | Correct directory | File must reside in appropriate directory: `API_WORKSPACE/modules/` (API endpoint modules), `GUIDES/` (user docs, generated), `REFERENCE/` (data models), `DESIGN/` (architecture), `OPERATIONS/` (infra/release), `INTEGRATIONS/` (n8n/tests) |
+
+### P0b — UUID Naming
+
+| # | Check | Rule |
+|---|-------|------|
+| 8 | `file_uuid` not bare `uuid` | All file references use `file_uuid` (see UUID Naming Rule above) |
+| 9 | `identity_uuid` not bare `uuid` | All identity references use `identity_uuid` |
+
+### P1 — Suggested (3 items)
+
+| # | Check | Note |
+|---|-------|------|
+| 1 | Cross-references | Link to related docs in API_WORKSPACE/, GUIDES/, REFERENCE/, DESIGN/, OPERATIONS/ |
+| 2 | Glossary terms | Define non-obvious terms inline or link glossary |
+| 3 | Diagrams | Include Mermaid/ASCII diagram for complex topics |
+
+### Exception
+
+`M4_workspace/` files are exempt from this checklist (free-format reply documents).
+
+---
+
+## Delivery Procedure
+
+完整交付程序（M4_workspace → M5 → Release → Deploy → Public）見：
+
+`docs_v1.0/OPERATIONS/DELIVERY_PROCEDURE.md`

deliverable_v1.1.0/SYSTEM_AUDIT_2026-05-17.md

@@ -0,0 +1,71 @@
+# System Audit — 2026-05-17
+
+## Current State
+
+### Embedding Storage (三重冗余，無主)
+
+| 資料類型 | PG pgvector | Qdrant | JSON 檔案 |
+|---------|------------|--------|-----------|
+| Sentence 向量 | `chunk.embedding` ✅ | `dev_v1` / `rule1_v2` / `sentence_*` ✅ | ❌ 無 |
+| Story 向量 | `chunk.embedding` ✅ | `dev_v1` / `dev_stories` ✅ | `.story_llm.json` ✅ |
+| Face 向量 | ❌ 已清除（依使用者指示） | `dev_faces` ✅ (97K) | `.face.json` ✅ |
+| Voice 向量 | ❌ 無 | `dev_voice` ✅ (4K) | ❌ 無 |
+
+### Pipeline 問題
+
+| 問題 | 影響 |
+|------|------|
+| `processor_results.duration_secs` 全為 0 | 無法查各步驟耗時 |
+| `processor_results.started_at/completed_at` 全 NULL | 時間線遺失 |
+| Redis timing 在 job 完成後被清掉 | 唯一 timing 來源消失 |
+| `get_chunk_by_chunk_id_and_uuid` 原本是 stub（已修） | Smart search 找不到 PG chunk |
+| `server.rs::search()` 未 mount 但仍編譯 | Dead code，混淆 Qdrant 用途 |
+| Face embedding 只寫 Qdrant 不寫 PG | 已刪除則全失 |
+
+### Qdrant Collections 現況
+
+| Collection | Points | 來源 | UUID |
+|-----------|--------|------|------|
+| `dev_v1` | 9,936 | PG rebuild | ✅ bd80fec... |
+| `dev_faces` | 97,000 | face.json rebuild | ✅ bd80fec... |
+| `dev_stories` | 560 | Snapshot | ✅ bd80fec... |
+| `dev_voice` | 4,188 | Snapshot | ✅ bd80fec... |
+| `dev_rule1_v2` | 3,417 | Snapshot | ✅ bd80fec... |
+| `sentence_story` | 4,188 | Snapshot | ✅ bd80fec... |
+| `sentence_summary` | 4,188 | Snapshot | ✅ bd80fec... |
+
+## Safeguards & Fixes
+
+### P0 — 必須修
+
+| # | Fix | 做法 |
+|---|-----|------|
+| 1 | **Pipeline timing 寫入 DB** | `update_processor_result()` 加入 `started_at`、`completed_at`、`duration_secs` |
+| 2 | **Qdrant 不當主要儲存** | Embedding 以 PG `chunk.embedding` 為 source of truth，Qdrant 唯讀 cache |
+| 3 | **Smart search 只走 PG pgvector** | `search_parent_chunks_semantic` 已正確，無需 Qdrant |
+| 4 | **移除 `server.rs::search()` dead code** | 或 mount 到正式 route 並確認可用 |
+
+### P1 — 建議修
+
+| # | Fix | 做法 |
+|---|-----|------|
+| 5 | **刪除 Qdrant 前先 snapshot** | 自動 snapshot script |
+| 6 | **清理多餘 Qdrant collections** | `dev_voice` / `dev_stories` / `dev_rule1_v2` / `sentence_*` 無 server reader，可移除 |
+| 7 | **Face embedding 寫入 PG 或移除 dead code** | 目前 face Qdrant write 無人讀取，可移除 `sync_face_embeddings` |
+| 8 | **UUID 一致性檢查** | 同一 content 不應產生不同 UUID |
+
+### P2 — 可選
+
+| # | Fix | 做法 |
+|---|-----|------|
+| 9 | `chunk_selector.rs` （player binary）hardcode `momentry_rule1` | 改讀 env var 或 PG |
+| 10 | AGENTS.md 已加入 delete 安全規則 | ✅ Done |
+
+## Data Recovery Path
+
+| 資料來源 | 可恢復到 | 方法 |
+|---------|---------|------|
+| `chunk.embedding` (PG) | Qdrant `dev_v1` | SQL → Qdrant upsert |
+| `face.json` (磁碟) | Qdrant `dev_faces` | Python script |
+| `story_llm.json` (磁碟) | Qdrant `dev_stories` | Python script |
+| Qdrant snapshots (phase1) | Qdrant collections | Snapshot upload API |

deliverable_v1.1.0/html_docs/doc/01_auth.html

@@ -0,0 +1,388 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>01 Auth - Momentry API Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 24px; margin: 24px 0 12px; }
+h2 { font-size: 20px; margin: 20px 0 10px; color: #222; }
+h3 { font-size: 16px; margin: 16px 0 8px; color: #444; }
+p { line-height: 1.6; margin: 8px 0; }
+table { border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }
+th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; }
+th { background: #f0f0f0; font-weight: 600; }
+code { background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }
+pre { background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }
+pre code { background: none; padding: 0; }
+a { color: #0066cc; }
+.back { display: inline-block; margin-bottom: 20px; color: #666; }
+.back:hover { color: #333; }
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+<!-- module: auth -->
+<!-- description: Authentication — login, logout, JWT, session cookie, API key -->
+<!-- depends: -->
+
+<h2>Base URL</h2>
+<table class="table">
+<thead>
+<tr>
+<th>Environment</th>
+<th>URL</th>
+<th>Purpose</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>Production</td>
+<td><code>http://localhost:3002</code></td>
+<td>Production deployment</td>
+</tr>
+<tr>
+<td>External (M5)</td>
+<td><code>https://m5api.momentry.ddns.net</code></td>
+<td>Remote access</td>
+</tr>
+</tbody>
+</table>
+<h2>Variables</h2>
+<p>All examples in this documentation use these environment variables:</p>
+<div class="codehilite"><pre><span></span><code><span class="nv">API</span><span class="o">=</span><span class="s2">&quot;http://localhost:3002&quot;</span>
+<span class="nv">KEY</span><span class="o">=</span><span class="s2">&quot;your-api-key-here&quot;</span>
+</code></pre></div>
+
+<h2>Authentication</h2>
+<p>All endpoints under <code>/api/v1/*</code> require authentication.
+The following endpoints are public (no auth needed):</p>
+<ul>
+<li><code>GET /health</code></li>
+<li><code>POST /api/v1/auth/login</code></li>
+<li><code>POST /api/v1/auth/logout</code></li>
+</ul>
+<h3>Three Authentication Modes</h3>
+<p>The system supports three authentication methods, checked in <strong>priority order</strong> by the middleware:</p>
+<div class="codehilite"><pre><span></span><code>Middleware priority:
+  1. Session Cookie (Portal/browser)
+  2. JWT Bearer (API clients, CLI)
+  3. API Key Header (legacy compatibility)
+  4. API Key Query Param (?api_key=)
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Mode</th>
+<th>Transport</th>
+<th>Expiry</th>
+<th>Scope</th>
+<th>Best for</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><strong>Session Cookie</strong></td>
+<td><code>Cookie: session_id=&lt;session_id&gt;</code></td>
+<td>24h</td>
+<td>per-browser session</td>
+<td>Portal (browser)</td>
+</tr>
+<tr>
+<td><strong>JWT</strong></td>
+<td><code>Authorization: Bearer &lt;token&gt;</code></td>
+<td>1h</td>
+<td>per-login token</td>
+<td>API clients, CLI, scripts</td>
+</tr>
+<tr>
+<td><strong>API Key</strong></td>
+<td><code>X-API-Key: &lt;key&gt;</code></td>
+<td>90d</td>
+<td>fixed key for automation</td>
+<td>Legacy scripts, WordPress</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h3>Login</h3>
+<p><strong>Default accounts &amp; API keys:</strong></p>
+<table class="table">
+<thead>
+<tr>
+<th>Username</th>
+<th>Password</th>
+<th>API Key</th>
+<th>Role</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>admin</code></td>
+<td><code>admin</code></td>
+<td>—</td>
+<td>admin</td>
+</tr>
+<tr>
+<td><code>demo</code></td>
+<td><code>demo</code></td>
+<td><code>muser_demo_key_32chars_abcdef1234567890</code></td>
+<td>user</td>
+</tr>
+</tbody>
+</table>
+<p>The demo API key is set via <code>MOMENTRY_DEMO_API_KEY</code> env var and can be used in place of JWT for marcom integrations:</p>
+<div class="codehilite"><pre><span></span><code><span class="c1"># Using API key instead of JWT</span>
+curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/scan&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: muser_demo_key_32chars_abcdef1234567890&quot;</span>
+</code></pre></div>
+
+<div class="codehilite"><pre><span></span><code><span class="c1"># Login as admin</span>
+curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/auth/login&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;username&quot;: &quot;admin&quot;, &quot;password&quot;: &quot;admin&quot;}&#39;</span>
+
+<span class="c1"># Login as demo user</span>
+curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/auth/login&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;username&quot;: &quot;demo&quot;, &quot;password&quot;: &quot;demo&quot;}&#39;</span>
+</code></pre></div>
+
+<h4>Success Response</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;jwt&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;eyJhbGciOiJIUzI1NiIs...&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;api_key&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;muser_...&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;user&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
+<span class="w">    </span><span class="nt">&quot;username&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;admin&quot;</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;role&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;admin&quot;</span>
+<span class="w">  </span><span class="p">},</span>
+<span class="w">  </span><span class="nt">&quot;expires_at&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;2026-05-18T13:00:00Z&quot;</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>jwt</code></td>
+<td>string</td>
+<td>JWT access token. Use as <code>Authorization: Bearer &lt;jwt&gt;</code>. Expires in 1 hour.</td>
+</tr>
+<tr>
+<td><code>api_key</code></td>
+<td>string</td>
+<td>Legacy API key. Use as <code>X-API-Key: &lt;key&gt;</code>. Good for 90 days.</td>
+</tr>
+<tr>
+<td><code>user.username</code></td>
+<td>string</td>
+<td>Username</td>
+</tr>
+<tr>
+<td><code>user.role</code></td>
+<td>string</td>
+<td>Role: <code>admin</code>, <code>user</code>, or <code>readonly</code></td>
+</tr>
+<tr>
+<td><code>expires_at</code></td>
+<td>string</td>
+<td>ISO8601 timestamp of JWT expiration</td>
+</tr>
+</tbody>
+</table>
+<p>The login endpoint also sets a <code>Set-Cookie</code> header for browser-based clients:</p>
+<div class="codehilite"><pre><span></span><code><span class="nt">Set-Cookie</span><span class="o">:</span><span class="w"> </span><span class="nt">session_id</span><span class="o">=&lt;</span><span class="nt">session_id</span><span class="o">&gt;;</span><span class="w"> </span><span class="nt">Path</span><span class="o">=/;</span><span class="w"> </span><span class="nt">HttpOnly</span><span class="o">;</span><span class="w"> </span><span class="nt">SameSite</span><span class="o">=</span><span class="nt">Strict</span><span class="o">;</span><span class="w"> </span><span class="nt">Max-Age</span><span class="o">=</span><span class="nt">86400</span>
+</code></pre></div>
+
+<h4>Error Response (401)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">false</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;message&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Invalid username or password&quot;</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<hr />
+<h3>Using JWT</h3>
+<p>JWT is preferred for API clients (CLI scripts, WordPress). It is validated by the middleware without a database lookup (stateless).</p>
+<div class="codehilite"><pre><span></span><code><span class="c1"># Login and capture JWT</span>
+<span class="nv">JWT</span><span class="o">=</span><span class="k">$(</span>curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/auth/login&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;username&quot;:&quot;admin&quot;,&quot;password&quot;:&quot;admin&quot;}&#39;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>python3<span class="w"> </span>-c<span class="w"> </span><span class="s2">&quot;import json,sys;print(json.load(sys.stdin)[&#39;jwt&#39;])&quot;</span><span class="k">)</span>
+
+<span class="c1"># Use JWT for all subsequent requests</span>
+curl<span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;Authorization: Bearer </span><span class="nv">$JWT</span><span class="s2">&quot;</span><span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/scan&quot;</span>
+curl<span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;Authorization: Bearer </span><span class="nv">$JWT</span><span class="s2">&quot;</span><span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/resource/tmdb&quot;</span>
+</code></pre></div>
+
+<p>JWT is short-lived (1 hour). When it expires, request a new one via login.</p>
+<hr />
+<h3>Using Session Cookie (Browser)</h3>
+<p>Browser-based clients (Portal) get a session cookie automatically after login. The browser sends the cookie with every request—no manual header needed.</p>
+<div class="codehilite"><pre><span></span><code><span class="c1"># Login captures the session cookie from Set-Cookie header</span>
+curl<span class="w"> </span>-v<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/auth/login&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;username&quot;:&quot;admin&quot;,&quot;password&quot;:&quot;admin&quot;}&#39;</span><span class="w"> </span><span class="m">2</span>&gt;<span class="p">&amp;</span><span class="m">1</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>grep<span class="w"> </span><span class="s2">&quot;Set-Cookie&quot;</span>
+
+<span class="c1"># Browser automatically sends: Cookie: session_id=&lt;session_id&gt;</span>
+<span class="c1"># No manual header needed for subsequent requests</span>
+</code></pre></div>
+
+<p>The session cookie is HttpOnly (not accessible from JavaScript) and SameSite=Strict (protected against CSRF).</p>
+<hr />
+<h3>Using Legacy API Key</h3>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/scan&quot;</span>
+
+<span class="c1"># Also accepted via Bearer header (non-JWT format) or query parameter:</span>
+curl<span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;Authorization: Bearer </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/scan&quot;</span>
+curl<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/scan?api_key=</span><span class="nv">$KEY</span><span class="s2">&quot;</span>
+</code></pre></div>
+
+<p>API keys are validated via SHA256 hash lookup in the database. They are long-lived (90 days) and intended for automation.</p>
+<h3>Obtaining an API Key (CLI)</h3>
+<div class="codehilite"><pre><span></span><code>momentry<span class="w"> </span>api-key<span class="w"> </span>create<span class="w"> </span><span class="s2">&quot;My API Key&quot;</span><span class="w"> </span>--key-type<span class="w"> </span>user
+</code></pre></div>
+
+<hr />
+<h3>Logout</h3>
+<div class="codehilite"><pre><span></span><code><span class="c1"># Logout using the session cookie (browser)</span>
+curl<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/auth/logout&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Cookie: session_id=&lt;uuid&gt;&quot;</span>
+</code></pre></div>
+
+<h4>What logout does</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Auth mode</th>
+<th>Effect</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><strong>Session Cookie</strong></td>
+<td>Session deleted from database. Same cookie returns 401 on subsequent requests.</td>
+</tr>
+<tr>
+<td><strong>JWT</strong></td>
+<td>JWT remains valid until expiry. (JWT is stateless — logout adds JWT to a blacklist only if API key mode is used.)</td>
+</tr>
+<tr>
+<td><strong>API Key</strong></td>
+<td>API key remains valid. (Legacy keys are shared across sessions — revoking would break other clients.)</td>
+</tr>
+</tbody>
+</table>
+<h4>Example: full session lifecycle</h4>
+<div class="codehilite"><pre><span></span><code><span class="c1"># 1. Login</span>
+<span class="nv">SESSION_ID</span><span class="o">=</span><span class="k">$(</span>curl<span class="w"> </span>-s<span class="w"> </span>-D<span class="w"> </span>-<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/auth/login&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;username&quot;:&quot;admin&quot;,&quot;password&quot;:&quot;admin&quot;}&#39;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>grep<span class="w"> </span><span class="s2">&quot;Set-Cookie&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>sed<span class="w"> </span><span class="s1">&#39;s/.*session_id=\([^;]*\).*/\1/&#39;</span><span class="k">)</span>
+
+<span class="c1"># 2. Use session (works)</span>
+curl<span class="w"> </span>-s<span class="w"> </span>-o<span class="w"> </span>/dev/null<span class="w"> </span>-w<span class="w"> </span><span class="s2">&quot;HTTP %{http_code}\n&quot;</span><span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/resource/tmdb&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Cookie: session_id=</span><span class="nv">$SESSION_ID</span><span class="s2">&quot;</span>
+<span class="c1"># → HTTP 200</span>
+
+<span class="c1"># 3. Logout</span>
+curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/auth/logout&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Cookie: session_id=</span><span class="nv">$SESSION_ID</span><span class="s2">&quot;</span>
+<span class="c1"># → {&quot;success&quot;: true}</span>
+
+<span class="c1"># 4. Use session again (rejected)</span>
+curl<span class="w"> </span>-s<span class="w"> </span>-o<span class="w"> </span>/dev/null<span class="w"> </span>-w<span class="w"> </span><span class="s2">&quot;HTTP %{http_code}\n&quot;</span><span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/resource/tmdb&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Cookie: session_id=</span><span class="nv">$SESSION_ID</span><span class="s2">&quot;</span>
+<span class="c1"># → HTTP 401</span>
+</code></pre></div>
+
+<hr />
+<h3>Authentication Flow Summary</h3>
+<div class="codehilite"><pre><span></span><code>Login Request
+     │
+     ▼
+┌──────────────────┐
+│  1. Check users  │ ← users table (argon2 password verify)
+│     table        │
+└──────┬───────────┘
+       │
+   ┌───┴───┐
+   │ match │
+   └───┬───┘
+       │
+       ▼
+┌──────────────────┐
+│  2. Create JWT   │ ← 1h expiry, signed with JWT_SECRET
+├──────────────────┤
+│  3. Create       │ ← 24h expiry, stored in sessions table
+│     session      │
+├──────────────────┤
+│  4. Set-Cookie   │ ← HttpOnly, SameSite=Strict, Path=/
+├──────────────────┤
+│  5. Return       │ ← JWT + api_key + user info to client
+└──────────────────┘
+</code></pre></div>
+
+<div class="codehilite"><pre><span></span><code>Protected Request
+     │
+     ▼
+┌──────────────────────┐
+│  Middleware checks:  │
+│                      │
+│  1. Cookie session?  │ → DB lookup session → get api_key → verify
+│                      │
+│  2. JWT Bearer?      │ → verify JWT signature → decode claims
+│                      │
+│  3. X-API-Key?       │ → SHA256 hash → DB lookup → verify
+│                      │
+│  4. ?api_key=?       │ → same as #3
+│                      │
+│  5. None → 401       │
+└──────────────────────┘
+</code></pre></div>
+
+<hr />
+<h3>Error Responses</h3>
+<table class="table">
+<thead>
+<tr>
+<th>HTTP</th>
+<th>When</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>401</code></td>
+<td>Missing or invalid authentication</td>
+</tr>
+<tr>
+<td><code>401</code></td>
+<td>Session expired or logged out</td>
+</tr>
+<tr>
+<td><code>401</code></td>
+<td>JWT expired</td>
+</tr>
+<tr>
+<td><code>401</code></td>
+<td>API key revoked or inactive</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h3>Related</h3>
+<ul>
+<li><code>POST /api/v1/resource/tmdb/check</code> — test authentication + TMDb API connectivity</li>
+<li><code>GET /health/detailed</code> — view auth status (integrations section)</li>
+</ul>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc/02_health.html

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+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>02 Health - Momentry API Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 24px; margin: 24px 0 12px; }
+h2 { font-size: 20px; margin: 20px 0 10px; color: #222; }
+h3 { font-size: 16px; margin: 16px 0 8px; color: #444; }
+p { line-height: 1.6; margin: 8px 0; }
+table { border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }
+th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; }
+th { background: #f0f0f0; font-weight: 600; }
+code { background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }
+pre { background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }
+pre code { background: none; padding: 0; }
+a { color: #0066cc; }
+.back { display: inline-block; margin-bottom: 20px; color: #666; }
+.back:hover { color: #333; }
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+<!-- module: health -->
+<!-- description: Health check endpoints -->
+<!-- depends: 01_auth -->
+
+<h2>Health Check</h2>
+<h3><code>GET /health</code></h3>
+<p><strong>Auth</strong>: Public
+<strong>Scope</strong>: system-level</p>
+<p>Returns basic server health status — used by load balancers and monitoring.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/health&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;{status, version}&#39;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;ok&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;version&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;1.0.0&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;build_git_hash&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;3a6c1865&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;build_timestamp&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;2026-05-16T13:38:15Z&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;uptime_ms&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">3015</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>status</code></td>
+<td>string</td>
+<td><code>ok</code> or <code>degraded</code></td>
+</tr>
+<tr>
+<td><code>version</code></td>
+<td>string</td>
+<td>Semver version</td>
+</tr>
+<tr>
+<td><code>build_git_hash</code></td>
+<td>string</td>
+<td>Git commit hash</td>
+</tr>
+<tr>
+<td><code>build_timestamp</code></td>
+<td>string</td>
+<td>Binary build time</td>
+</tr>
+<tr>
+<td><code>uptime_ms</code></td>
+<td>integer</td>
+<td>Milliseconds since server start</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h3><code>GET /health/detailed</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: system-level</p>
+<p>Returns full system health including each service status, resource utilization, pipeline readiness, schema migration status, identity file sync status, and external integrations.</p>
+<blockquote>
+<p>Requires authentication (JWT, session cookie, or API key). The basic <code>/health</code> endpoint remains public for load balancer checks.</p>
+</blockquote>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/health/detailed&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;{status, services, resources: {cpu: .resources.cpu_used_percent, memory: .resources.memory_used_percent}}&#39;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;ok&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;version&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;1.0.0&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;services&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
+<span class="w">    </span><span class="nt">&quot;postgres&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;ok&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;latency_ms&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">3</span><span class="p">},</span>
+<span class="w">    </span><span class="nt">&quot;redis&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;ok&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;latency_ms&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">1</span><span class="p">},</span>
+<span class="w">    </span><span class="nt">&quot;qdrant&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;ok&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;latency_ms&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">5</span><span class="p">}</span>
+<span class="w">  </span><span class="p">},</span>
+<span class="w">  </span><span class="nt">&quot;resources&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
+<span class="w">    </span><span class="nt">&quot;cpu_used_percent&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">12.5</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;memory_available_mb&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">32768</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;memory_used_percent&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">31.7</span>
+<span class="w">  </span><span class="p">},</span>
+<span class="w">  </span><span class="nt">&quot;pipeline&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
+<span class="w">    </span><span class="nt">&quot;scripts_ready&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;scripts_count&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">345</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;processors&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
+<span class="w">      </span><span class="nt">&quot;asr&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;yolo&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;face&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;pose&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;ocr&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;cut&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;scene&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;asrx&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;visual_chunk&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span>
+<span class="w">    </span><span class="p">},</span>
+<span class="w">    </span><span class="nt">&quot;models_ready&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;models_count&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">42</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;scripts_integrity&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span><span class="nt">&quot;matched&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">332</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;total&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">345</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;ok&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">false</span><span class="p">},</span>
+<span class="w">    </span><span class="nt">&quot;ffmpeg&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span>
+<span class="w">  </span><span class="p">},</span>
+<span class="w">  </span><span class="nt">&quot;schema&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
+<span class="w">    </span><span class="nt">&quot;table_exists&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;applied&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[{</span><span class="nt">&quot;filename&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;migrate_add_users_table.sql&quot;</span><span class="p">}],</span>
+<span class="w">    </span><span class="nt">&quot;required&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[],</span>
+<span class="w">    </span><span class="nt">&quot;ok&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span>
+<span class="w">  </span><span class="p">},</span>
+<span class="w">  </span><span class="nt">&quot;identities&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
+<span class="w">    </span><span class="nt">&quot;directory_exists&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;files_count&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">3481</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;index_ok&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;db_count&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">3481</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;synced&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span>
+<span class="w">  </span><span class="p">},</span>
+<span class="w">  </span><span class="nt">&quot;integrations&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
+<span class="w">    </span><span class="nt">&quot;tmdb&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
+<span class="w">      </span><span class="nt">&quot;api_key_configured&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">false</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;enabled&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">false</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;api_reachable&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">null</span>
+<span class="w">    </span><span class="p">}</span>
+<span class="w">  </span><span class="p">}</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<h4>Response Fields</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>status</code></td>
+<td>string</td>
+<td><code>ok</code> if all essential services healthy</td>
+</tr>
+<tr>
+<td><code>services</code></td>
+<td>object</td>
+<td>Per-service status (postgres, redis, qdrant)</td>
+</tr>
+<tr>
+<td><code>services.*.status</code></td>
+<td>string</td>
+<td><code>ok</code>, <code>error</code>, or <code>degraded</code></td>
+</tr>
+<tr>
+<td><code>services.*.latency_ms</code></td>
+<td>int</td>
+<td>Response time in milliseconds</td>
+</tr>
+<tr>
+<td><code>resources</code></td>
+<td>object</td>
+<td>CPU, memory usage</td>
+</tr>
+<tr>
+<td><code>pipeline.scripts_ready</code></td>
+<td>boolean</td>
+<td>Scripts directory accessible</td>
+</tr>
+<tr>
+<td><code>pipeline.scripts_count</code></td>
+<td>int</td>
+<td>Number of Python processor scripts</td>
+</tr>
+<tr>
+<td><code>pipeline.processors</code></td>
+<td>object</td>
+<td>Per-processor availability</td>
+</tr>
+<tr>
+<td><code>pipeline.models_ready</code></td>
+<td>boolean</td>
+<td>Models directory accessible</td>
+</tr>
+<tr>
+<td><code>pipeline.scripts_integrity</code></td>
+<td>object</td>
+<td>SHA256 checksum verification results</td>
+</tr>
+<tr>
+<td><code>schema.ok</code></td>
+<td>boolean</td>
+<td>All required migrations applied</td>
+</tr>
+<tr>
+<td><code>identities.synced</code></td>
+<td>boolean</td>
+<td>Identity file count matches DB count</td>
+</tr>
+<tr>
+<td><code>integrations.tmdb</code></td>
+<td>object</td>
+<td>TMDB API key config and reachability</td>
+</tr>
+</tbody>
+</table>
+<h4>Health status rules</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Condition</th>
+<th>status</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>All services ok</td>
+<td><code>ok</code></td>
+</tr>
+<tr>
+<td>Any service error</td>
+<td><code>degraded</code></td>
+</tr>
+<tr>
+<td>Postgres or Redis error</td>
+<td><code>degraded</code> (server still responds)</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h3>Stats Endpoints</h3>
+<table class="table">
+<thead>
+<tr>
+<th>Method</th>
+<th>Endpoint</th>
+<th>Auth</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>GET</td>
+<td><code>/api/v1/stats/sftpgo</code></td>
+<td>No</td>
+<td>SFTPGo service status</td>
+</tr>
+</tbody>
+</table>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc/03_register.html

@@ -0,0 +1,444 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>03 Register - Momentry API Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 24px; margin: 24px 0 12px; }
+h2 { font-size: 20px; margin: 20px 0 10px; color: #222; }
+h3 { font-size: 16px; margin: 16px 0 8px; color: #444; }
+p { line-height: 1.6; margin: 8px 0; }
+table { border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }
+th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; }
+th { background: #f0f0f0; font-weight: 600; }
+code { background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }
+pre { background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }
+pre code { background: none; padding: 0; }
+a { color: #0066cc; }
+.back { display: inline-block; margin-bottom: 20px; color: #666; }
+.back:hover { color: #333; }
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+<!-- module: register -->
+<!-- description: File registration — register, scan -->
+<!-- depends: 01_auth -->
+
+<h2>File Registration</h2>
+<h3><code>POST /api/v1/files/register</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Register a video file for processing. Returns the file's metadata and UUID.</p>
+<p><strong>New in v0.1.2</strong>: Registration now <strong>automatically triggers the processing pipeline</strong> — no need to call <code>POST /api/v1/file/:file_uuid/process</code> separately. The system will:
+1. Register the file and run ffprobe
+2. Auto-run offline TMDb probe (reads local identity files, no API calls)
+3. Create a monitor job for the worker
+4. Worker starts all 10 processors (Cut → ASR → ASRX → YOLO → OCR → Face → Pose → VisualChunk → Story → 5W1H)</p>
+<p>If the file already exists (same content hash), returns the existing record with <code>already_exists: true</code>.</p>
+<h4>Request Parameters</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Default</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>file_path</code></td>
+<td>string</td>
+<td>Yes</td>
+<td>—</td>
+<td>Path to video file on disk</td>
+</tr>
+<tr>
+<td><code>pattern</code></td>
+<td>string</td>
+<td>No</td>
+<td>—</td>
+<td>Regex pattern for batch register (requires <code>file_path</code> to be a directory)</td>
+</tr>
+<tr>
+<td><code>user_id</code></td>
+<td>integer</td>
+<td>No</td>
+<td>—</td>
+<td>User ID to associate with registration</td>
+</tr>
+<tr>
+<td><code>content_hash</code></td>
+<td>string</td>
+<td>No</td>
+<td>—</td>
+<td>Pre-computed SHA-256 hash (skips computation)</td>
+</tr>
+</tbody>
+</table>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code><span class="c1"># Register a single file</span>
+curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/register&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;file_path&quot;: &quot;/path/to/video.mp4&quot;}&#39;</span>
+
+<span class="c1"># Batch register files matching a pattern in a directory</span>
+curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/register&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;file_path&quot;: &quot;/path/to/dir&quot;, &quot;pattern&quot;: &quot;.*\\.mp4$&quot;}&#39;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;3a6c1865...&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;file_name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;video.mp4&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;file_path&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;/path/to/video.mp4&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;file_type&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;video&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;duration&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">120.5</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;width&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">1920</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;height&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">1080</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;fps&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">24.0</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;total_frames&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">2892</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;already_exists&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">false</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;message&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;File registered successfully&quot;</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>success</code></td>
+<td>boolean</td>
+<td>Always true on 200</td>
+</tr>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>32-char hex UUID of the registered file</td>
+</tr>
+<tr>
+<td><code>file_name</code></td>
+<td>string</td>
+<td>File name (auto-renamed if name conflict)</td>
+</tr>
+<tr>
+<td><code>file_path</code></td>
+<td>string</td>
+<td>Canonical path on disk</td>
+</tr>
+<tr>
+<td><code>file_type</code></td>
+<td>string</td>
+<td><code>"video"</code>, <code>"audio"</code>, or <code>"unknown"</code></td>
+</tr>
+<tr>
+<td><code>duration</code></td>
+<td>float</td>
+<td>Duration in seconds</td>
+</tr>
+<tr>
+<td><code>width</code></td>
+<td>integer</td>
+<td>Video width in pixels</td>
+</tr>
+<tr>
+<td><code>height</code></td>
+<td>integer</td>
+<td>Video height in pixels</td>
+</tr>
+<tr>
+<td><code>fps</code></td>
+<td>float</td>
+<td>Frames per second</td>
+</tr>
+<tr>
+<td><code>total_frames</code></td>
+<td>integer</td>
+<td>Total frame count</td>
+</tr>
+<tr>
+<td><code>already_exists</code></td>
+<td>boolean</td>
+<td>True if same content was already registered</td>
+</tr>
+<tr>
+<td><code>message</code></td>
+<td>string</td>
+<td>Human-readable status</td>
+</tr>
+</tbody>
+</table>
+<h4>Error Responses</h4>
+<table class="table">
+<thead>
+<tr>
+<th>HTTP</th>
+<th>When</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>401</code></td>
+<td>Missing or invalid API key</td>
+</tr>
+<tr>
+<td><code>400</code></td>
+<td>Invalid request body</td>
+</tr>
+<tr>
+<td><code>404</code></td>
+<td>File path does not exist</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h3><code>GET /api/v1/files/scan</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Scan the filesystem directory and list all media files, showing which are registered, processing, or unregistered.</p>
+<h4>Query Parameters</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Default</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>page</code></td>
+<td>integer</td>
+<td>No</td>
+<td>1</td>
+<td>Page number (1-based)</td>
+</tr>
+<tr>
+<td><code>page_size</code></td>
+<td>integer</td>
+<td>No</td>
+<td>all</td>
+<td>Items per page (alias: <code>limit</code>)</td>
+</tr>
+<tr>
+<td><code>limit</code></td>
+<td>integer</td>
+<td>No</td>
+<td>all</td>
+<td>Max items (alias for <code>page_size</code>)</td>
+</tr>
+<tr>
+<td><code>pattern</code></td>
+<td>string</td>
+<td>No</td>
+<td>—</td>
+<td>Regex filter on file name (e.g., <code>.*\\.mp4$</code>)</td>
+</tr>
+<tr>
+<td><code>sort_by</code></td>
+<td>string</td>
+<td>No</td>
+<td><code>name</code></td>
+<td>Sort field: <code>name</code>, <code>size</code>, <code>modified</code>, <code>status</code></td>
+</tr>
+<tr>
+<td><code>sort_order</code></td>
+<td>string</td>
+<td>No</td>
+<td><code>asc</code></td>
+<td>Sort direction: <code>asc</code> or <code>desc</code></td>
+</tr>
+</tbody>
+</table>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code><span class="c1"># Full scan</span>
+curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/scan&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;{total, registered_count, unregistered_count}&#39;</span>
+
+<span class="c1"># Paginated (page 1, 5 per page)</span>
+curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/scan?page=1&amp;page_size=5&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;{page, total_pages, files: [.files[].file_name]}&#39;</span>
+
+<span class="c1"># Regex filter: only mp4 files</span>
+curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/scan?pattern=.*\\.mp4</span>$<span class="s2">&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;{filtered_total, files: [.files[].file_name]}&#39;</span>
+
+<span class="c1"># Sort by file size (largest first)</span>
+curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/scan?sort_by=size&amp;sort_order=desc&amp;page_size=5&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;[.files[] | {file_name, file_size}]&#39;</span>
+
+<span class="c1"># Sort by modified time (most recent first)</span>
+curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/scan?sort_by=modified&amp;sort_order=desc&amp;page_size=5&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;[.files[] | {file_name, modified_time}]&#39;</span>
+
+<span class="c1"># Sort by status</span>
+curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/scan?sort_by=status&amp;page_size=5&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;[.files[] | {file_name, status}]&#39;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;files&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
+<span class="w">    </span><span class="p">{</span>
+<span class="w">      </span><span class="nt">&quot;file_name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;video.mp4&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;file_size&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">12345678</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;is_registered&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;3a6c1865...&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;completed&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;registration_time&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;2026-05-16T12:00:00Z&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;job_id&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">42</span>
+<span class="w">    </span><span class="p">}</span>
+<span class="w">  </span><span class="p">],</span>
+<span class="w">  </span><span class="nt">&quot;total&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">107</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;filtered_total&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">80</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;page&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">1</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;page_size&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">20</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;total_pages&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">4</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;registered_count&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">26</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;unregistered_count&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">81</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>files</code></td>
+<td>array</td>
+<td>Array of file info objects (paginated)</td>
+</tr>
+<tr>
+<td><code>files[].file_name</code></td>
+<td>string</td>
+<td>File name</td>
+</tr>
+<tr>
+<td><code>files[].relative_path</code></td>
+<td>string</td>
+<td>Path relative to scan root</td>
+</tr>
+<tr>
+<td><code>files[].file_path</code></td>
+<td>string</td>
+<td>Absolute path on disk</td>
+</tr>
+<tr>
+<td><code>files[].file_size</code></td>
+<td>integer</td>
+<td>File size in bytes</td>
+</tr>
+<tr>
+<td><code>files[].modified_time</code></td>
+<td>string</td>
+<td>Last modified timestamp (ISO8601)</td>
+</tr>
+<tr>
+<td><code>files[].is_registered</code></td>
+<td>boolean</td>
+<td>Whether file is registered in DB</td>
+</tr>
+<tr>
+<td><code>files[].file_uuid</code></td>
+<td>string</td>
+<td>32-char hex UUID (only if registered)</td>
+</tr>
+<tr>
+<td><code>files[].status</code></td>
+<td>string</td>
+<td><code>"completed"</code>, <code>"processing"</code>, <code>"registered"</code>, <code>"unregistered"</code>, or <code>null</code></td>
+</tr>
+<tr>
+<td><code>files[].registration_time</code></td>
+<td>string</td>
+<td>DB registration timestamp (only if registered)</td>
+</tr>
+<tr>
+<td><code>files[].job_id</code></td>
+<td>integer</td>
+<td>Processing job ID (only if a job exists)</td>
+</tr>
+<tr>
+<td><code>total</code></td>
+<td>integer</td>
+<td>Total files found on disk (unfiltered)</td>
+</tr>
+<tr>
+<td><code>filtered_total</code></td>
+<td>integer</td>
+<td>Files matching regex filter</td>
+</tr>
+<tr>
+<td><code>page</code></td>
+<td>integer</td>
+<td>Current page number</td>
+</tr>
+<tr>
+<td><code>page_size</code></td>
+<td>integer</td>
+<td>Items per page</td>
+</tr>
+<tr>
+<td><code>total_pages</code></td>
+<td>integer</td>
+<td>Total pages</td>
+</tr>
+<tr>
+<td><code>registered_count</code></td>
+<td>integer</td>
+<td>Files registered in DB</td>
+</tr>
+<tr>
+<td><code>unregistered_count</code></td>
+<td>integer</td>
+<td>Files not yet registered</td>
+</tr>
+</tbody>
+</table>
+<h4>Notes</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Feature</th>
+<th>Behavior</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><strong>Regex</strong></td>
+<td>Case-insensitive (<code>(?i)</code> prefix auto-applied). Applied to <code>file_name</code>.</td>
+</tr>
+<tr>
+<td><strong>Sort order</strong></td>
+<td>Default (<code>sort_by=name</code>): registered files first, then alphabetically. <code>sort_by=status</code>: alphabetical by status string.</td>
+</tr>
+<tr>
+<td><strong>Pagination</strong></td>
+<td><code>page_size</code> and <code>limit</code> are aliases. Default: show all results.</td>
+</tr>
+<tr>
+<td><strong>Processing order</strong></td>
+<td><code>pattern</code> regex filter → <code>sort_by</code>/<code>sort_order</code> → <code>page</code>/<code>page_size</code> slice.</td>
+</tr>
+</tbody>
+</table>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc/04_lookup.html

@@ -0,0 +1,291 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>04 Lookup - Momentry API Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 24px; margin: 24px 0 12px; }
+h2 { font-size: 20px; margin: 20px 0 10px; color: #222; }
+h3 { font-size: 16px; margin: 16px 0 8px; color: #444; }
+p { line-height: 1.6; margin: 8px 0; }
+table { border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }
+th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; }
+th { background: #f0f0f0; font-weight: 600; }
+code { background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }
+pre { background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }
+pre code { background: none; padding: 0; }
+a { color: #0066cc; }
+.back { display: inline-block; margin-bottom: 20px; color: #666; }
+.back:hover { color: #333; }
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+<!-- module: lookup -->
+<!-- description: File lookup by name and unregistration -->
+<!-- depends: 01_auth, 03_register -->
+
+<h2>File Lookup</h2>
+<h3><code>GET /api/v1/files/lookup</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Search registered files by file name. Performs a case-insensitive LIKE search on the file name column. Returns basic info about matching files.</p>
+<h4>Query Parameters</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>file_name</code></td>
+<td>string</td>
+<td>Yes</td>
+<td>File name to search for (partial matches supported)</td>
+</tr>
+</tbody>
+</table>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code><span class="c1"># Look up a specific file</span>
+curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/lookup?file_name=video.mp4&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span>
+
+<span class="c1"># Partial name search</span>
+curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/files/lookup?file_name=charade&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;.matches[].file_name&#39;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;file_name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;video.mp4&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;exists&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;matches&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
+<span class="w">    </span><span class="p">{</span>
+<span class="w">      </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;a03485a40b2df2d3&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;file_name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;video.mp4&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;file_type&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;video&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;completed&quot;</span>
+<span class="w">    </span><span class="p">}</span>
+<span class="w">  </span><span class="p">],</span>
+<span class="w">  </span><span class="nt">&quot;next_name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;video (2).mp4&quot;</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>file_name</code></td>
+<td>string</td>
+<td>Searched name</td>
+</tr>
+<tr>
+<td><code>exists</code></td>
+<td>boolean</td>
+<td>Exact name match exists</td>
+</tr>
+<tr>
+<td><code>matches</code></td>
+<td>array</td>
+<td>Array of matching registered files</td>
+</tr>
+<tr>
+<td><code>matches[].file_uuid</code></td>
+<td>string</td>
+<td>32-char hex UUID</td>
+</tr>
+<tr>
+<td><code>matches[].file_name</code></td>
+<td>string</td>
+<td>Registered file name</td>
+</tr>
+<tr>
+<td><code>matches[].file_type</code></td>
+<td>string</td>
+<td><code>"video"</code>, <code>"audio"</code>, or <code>null</code></td>
+</tr>
+<tr>
+<td><code>matches[].status</code></td>
+<td>string</td>
+<td>Registration/processing status</td>
+</tr>
+<tr>
+<td><code>next_name</code></td>
+<td>string</td>
+<td>Suggested name for avoiding conflicts</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h2>Unregister</h2>
+<h3><code>POST /api/v1/unregister</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Delete a registered file from the system. Supports single file by UUID, or batch by directory + regex pattern.</p>
+<h4>What gets deleted</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Removed (default)</th>
+<th>Not removed</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>Database records (videos, chunks, embeddings, processor_results, pre_chunks)</td>
+<td>The original source video file on disk</td>
+</tr>
+<tr>
+<td>Processor output JSON files (<code>{uuid}.*.json</code>) — unless <code>delete_output_files: false</code></td>
+<td>Temp/working directories</td>
+</tr>
+<tr>
+<td>In-memory cache entries</td>
+<td></td>
+</tr>
+<tr>
+<td>MongoDB cached lists</td>
+<td></td>
+</tr>
+</tbody>
+</table>
+<blockquote>
+<p>⚠️ Database deletion is <strong>irreversible</strong>. To keep output files, set <code>"delete_output_files": false</code>.</p>
+</blockquote>
+<h4>Request Parameters</h4>
+<p>At least one mode must be specified: either <code>file_uuid</code> alone, or <code>file_path</code> + <code>pattern</code> together.</p>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Default</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>*</td>
+<td>—</td>
+<td>Single file UUID to delete</td>
+</tr>
+<tr>
+<td><code>file_path</code></td>
+<td>string</td>
+<td>*</td>
+<td>—</td>
+<td>Directory path (for batch delete)</td>
+</tr>
+<tr>
+<td><code>pattern</code></td>
+<td>string</td>
+<td>*</td>
+<td>—</td>
+<td>Regex pattern (requires <code>file_path</code>)</td>
+</tr>
+<tr>
+<td><code>delete_output_files</code></td>
+<td>boolean</td>
+<td>No</td>
+<td><code>true</code></td>
+<td>If <code>true</code>, also delete processor output JSON files (<code>{uuid}.*.json</code>). Set to <code>false</code> to keep them.</td>
+</tr>
+</tbody>
+</table>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code><span class="c1"># Delete a single file by UUID (default: also deletes output JSON files)</span>
+curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/unregister&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;file_uuid&quot;: &quot;&#39;</span><span class="s2">&quot;</span><span class="nv">$FILE_UUID</span><span class="s2">&quot;</span><span class="s1">&#39;&quot;}&#39;</span>
+
+<span class="c1"># Keep output JSON files, only delete DB records</span>
+curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/unregister&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;file_uuid&quot;: &quot;&#39;</span><span class="s2">&quot;</span><span class="nv">$FILE_UUID</span><span class="s2">&quot;</span><span class="s1">&#39;&quot;, &quot;delete_output_files&quot;: false}&#39;</span>
+
+<span class="c1"># Batch delete all mp4 files in a directory</span>
+curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/unregister&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;file_path&quot;: &quot;/path/to/dir&quot;, &quot;pattern&quot;: &quot;.*\\.mp4$&quot;}&#39;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;a03485a40b2df2d3&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;message&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Video unregistered successfully&quot;</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>success</code></td>
+<td>boolean</td>
+<td>True if deletion succeeded</td>
+</tr>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>UUID of the deleted file (single mode)</td>
+</tr>
+<tr>
+<td><code>message</code></td>
+<td>string</td>
+<td>Human-readable status</td>
+</tr>
+</tbody>
+</table>
+<h4>Error Responses</h4>
+<table class="table">
+<thead>
+<tr>
+<th>HTTP</th>
+<th>When</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>400</code></td>
+<td>Neither <code>file_uuid</code> nor <code>file_path</code>+<code>pattern</code> provided</td>
+</tr>
+<tr>
+<td><code>404</code></td>
+<td>File UUID not found</td>
+</tr>
+<tr>
+<td><code>401</code></td>
+<td>Missing or invalid API key</td>
+</tr>
+</tbody>
+</table>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc/05_process.html

@@ -0,0 +1,505 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>05 Process - Momentry API Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 24px; margin: 24px 0 12px; }
+h2 { font-size: 20px; margin: 20px 0 10px; color: #222; }
+h3 { font-size: 16px; margin: 16px 0 8px; color: #444; }
+p { line-height: 1.6; margin: 8px 0; }
+table { border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }
+th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; }
+th { background: #f0f0f0; font-weight: 600; }
+code { background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }
+pre { background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }
+pre code { background: none; padding: 0; }
+a { color: #0066cc; }
+.back { display: inline-block; margin-bottom: 20px; color: #666; }
+.back:hover { color: #333; }
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+<!-- module: process -->
+<!-- description: Processing pipeline — trigger, probe, progress, jobs -->
+<!-- depends: 01_auth, 03_register -->
+
+<h2>Processing Pipeline</h2>
+<h3><code>POST /api/v1/file/:file_uuid/process</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Trigger the processing pipeline for a registered file. Creates a monitor job that the worker picks up and processes sequentially. Returns immediately with the job info—processing runs asynchronously in the background.</p>
+<h4>Request Parameters</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Default</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>processors</code></td>
+<td>string[]</td>
+<td>No</td>
+<td>all</td>
+<td>Specific processors to run: <code>["cut","asr","asrx","yolo","ocr","face","pose","visual_chunk","story","5w1h"]</code></td>
+</tr>
+<tr>
+<td><code>rules</code></td>
+<td>string[]</td>
+<td>No</td>
+<td>all</td>
+<td>Rule names to apply (currently unused)</td>
+</tr>
+</tbody>
+</table>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code><span class="c1"># Run all processors</span>
+curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/file/</span><span class="nv">$FILE_UUID</span><span class="s2">/process&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span>-d<span class="w"> </span><span class="s1">&#39;{}&#39;</span>
+
+<span class="c1"># Run specific processors only</span>
+curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/file/</span><span class="nv">$FILE_UUID</span><span class="s2">/process&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;processors&quot;: [&quot;asr&quot;, &quot;face&quot;, &quot;yolo&quot;]}&#39;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;job_id&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">42</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;3a6c1865...&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;processing&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;pids&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="mi">12345</span><span class="p">,</span><span class="w"> </span><span class="mi">12346</span><span class="p">],</span>
+<span class="w">  </span><span class="nt">&quot;message&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Processing triggered for video.mp4&quot;</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>success</code></td>
+<td>boolean</td>
+<td>Always true on 200</td>
+</tr>
+<tr>
+<td><code>job_id</code></td>
+<td>integer</td>
+<td>Monitor job ID (for job tracking)</td>
+</tr>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>32-char hex UUID of the file</td>
+</tr>
+<tr>
+<td><code>status</code></td>
+<td>string</td>
+<td><code>"processing"</code></td>
+</tr>
+<tr>
+<td><code>pids</code></td>
+<td>integer[]</td>
+<td>Process IDs of started processors</td>
+</tr>
+<tr>
+<td><code>message</code></td>
+<td>string</td>
+<td>Human-readable status</td>
+</tr>
+</tbody>
+</table>
+<h4>Error Responses</h4>
+<table class="table">
+<thead>
+<tr>
+<th>HTTP</th>
+<th>When</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>404</code></td>
+<td>File UUID not found</td>
+</tr>
+<tr>
+<td><code>401</code></td>
+<td>Missing or invalid API key</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h3><code>GET /api/v1/file/:file_uuid/probe</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Get ffprobe metadata for a registered file. Returns video/audio stream info, codec details, duration, resolution, and frame rate.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/file/</span><span class="nv">$FILE_UUID</span><span class="s2">/probe&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;3a6c1865...&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;file_name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;video.mp4&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;file_size&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">794863677</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;duration&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">120.5</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;width&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">1920</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;height&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">1080</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;fps&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">24.0</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;total_frames&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">2892</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;cached&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;format&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
+<span class="w">    </span><span class="nt">&quot;filename&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;/path/to/video.mp4&quot;</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;format_name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;mov,mp4,m4a,3gp&quot;</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;duration&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;120.5&quot;</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;size&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;12345678&quot;</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;bit_rate&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;819200&quot;</span>
+<span class="w">  </span><span class="p">},</span>
+<span class="w">  </span><span class="nt">&quot;streams&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
+<span class="w">    </span><span class="p">{</span>
+<span class="w">      </span><span class="nt">&quot;index&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">0</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;codec_name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;h264&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;codec_type&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;video&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;width&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">1920</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;height&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">1080</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;r_frame_rate&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;24/1&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;duration&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;120.5&quot;</span>
+<span class="w">    </span><span class="p">}</span>
+<span class="w">  </span><span class="p">]</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>32-char hex UUID</td>
+</tr>
+<tr>
+<td><code>file_name</code></td>
+<td>string</td>
+<td>File name</td>
+</tr>
+<tr>
+<td><code>file_size</code></td>
+<td>integer</td>
+<td>File size in bytes (from filesystem)</td>
+</tr>
+<tr>
+<td><code>duration</code></td>
+<td>float</td>
+<td>Duration in seconds</td>
+</tr>
+<tr>
+<td><code>width</code></td>
+<td>integer</td>
+<td>Video width in pixels</td>
+</tr>
+<tr>
+<td><code>height</code></td>
+<td>integer</td>
+<td>Video height in pixels</td>
+</tr>
+<tr>
+<td><code>fps</code></td>
+<td>float</td>
+<td>Frames per second</td>
+</tr>
+<tr>
+<td><code>total_frames</code></td>
+<td>integer</td>
+<td>Estimated total frames</td>
+</tr>
+<tr>
+<td><code>cached</code></td>
+<td>boolean</td>
+<td>True if result was from cached probe JSON</td>
+</tr>
+<tr>
+<td><code>format</code></td>
+<td>object</td>
+<td>Container format info (ffprobe format section)</td>
+</tr>
+<tr>
+<td><code>streams</code></td>
+<td>array</td>
+<td>Array of stream info objects</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h3><code>GET /api/v1/progress/:file_uuid</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Get real-time processing progress for a file via Redis pub/sub. Includes per-processor status, current/total frames, ETA, and system resource stats.</p>
+<h4>Pipeline Order</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Order</th>
+<th>Processor</th>
+<th>Dependencies</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>1</td>
+<td><code>cut</code></td>
+<td>—</td>
+<td>Scene detection</td>
+</tr>
+<tr>
+<td>2</td>
+<td><code>asr</code></td>
+<td>cut</td>
+<td>Speech-to-text (per scene)</td>
+</tr>
+<tr>
+<td>3</td>
+<td><code>asrx</code></td>
+<td>asr</td>
+<td>Speaker diarization</td>
+</tr>
+<tr>
+<td>4</td>
+<td><code>yolo</code></td>
+<td>—</td>
+<td>Object detection</td>
+</tr>
+<tr>
+<td>5</td>
+<td><code>ocr</code></td>
+<td>—</td>
+<td>Text recognition</td>
+</tr>
+<tr>
+<td>6</td>
+<td><code>face</code></td>
+<td>—</td>
+<td>Face detection &amp; embedding</td>
+</tr>
+<tr>
+<td>7</td>
+<td><code>pose</code></td>
+<td>—</td>
+<td>Pose estimation</td>
+</tr>
+<tr>
+<td>8</td>
+<td><code>visual_chunk</code></td>
+<td>yolo</td>
+<td>Visual scene chunks</td>
+</tr>
+<tr>
+<td>9</td>
+<td><code>story</code></td>
+<td>asr, asrx, cut, yolo, face</td>
+<td>Scene summaries (template)</td>
+</tr>
+<tr>
+<td>10</td>
+<td><code>5w1h</code></td>
+<td>story</td>
+<td>5W1H analysis (Gemma4 LLM)</td>
+</tr>
+</tbody>
+</table>
+<p>All processors except <code>story</code> and <code>5w1h</code> run concurrently when their dependencies are met. Story and 5W1H run sequentially after their prerequisites.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/progress/</span><span class="nv">$FILE_UUID</span><span class="s2">&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;{overall_progress, processors: [.processors[] | {processor_type, status}]}&#39;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;3a6c1865...&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;overall_progress&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">71</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;cpu_percent&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">45.2</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;gpu_percent&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">30.1</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;memory_percent&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">62.4</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;processors&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
+<span class="w">    </span><span class="p">{</span><span class="nt">&quot;processor_type&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;asr&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;complete&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;progress&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">100</span><span class="p">},</span>
+<span class="w">    </span><span class="p">{</span><span class="nt">&quot;processor_type&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;yolo&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;running&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;progress&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">65</span><span class="p">},</span>
+<span class="w">    </span><span class="p">{</span><span class="nt">&quot;processor_type&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;face&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;pending&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;progress&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">0</span><span class="p">}</span>
+<span class="w">  </span><span class="p">]</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>32-char hex UUID</td>
+</tr>
+<tr>
+<td><code>overall_progress</code></td>
+<td>integer</td>
+<td>Overall progress percentage (0–100)</td>
+</tr>
+<tr>
+<td><code>processors</code></td>
+<td>array</td>
+<td>Per-processor status list</td>
+</tr>
+<tr>
+<td><code>processors[].processor_type</code></td>
+<td>string</td>
+<td>Processor name (<code>asr</code>, <code>cut</code>, <code>yolo</code>, etc.)</td>
+</tr>
+<tr>
+<td><code>processors[].status</code></td>
+<td>string</td>
+<td><code>"pending"</code>, <code>"running"</code>, <code>"complete"</code>, or <code>"failed"</code></td>
+</tr>
+<tr>
+<td><code>processors[].progress</code></td>
+<td>integer</td>
+<td>Per-processor progress (0–100)</td>
+</tr>
+<tr>
+<td><code>processors[].eta_seconds</code></td>
+<td>integer</td>
+<td>Estimated seconds remaining (running processors)</td>
+</tr>
+<tr>
+<td><code>processors[].current</code></td>
+<td>integer</td>
+<td>Current frame count</td>
+</tr>
+<tr>
+<td><code>processors[].total</code></td>
+<td>integer</td>
+<td>Total frame count</td>
+</tr>
+<tr>
+<td><code>cpu_percent</code></td>
+<td>float</td>
+<td>Current CPU usage</td>
+</tr>
+<tr>
+<td><code>gpu_percent</code></td>
+<td>float</td>
+<td>Current GPU utilization</td>
+</tr>
+<tr>
+<td><code>memory_percent</code></td>
+<td>float</td>
+<td>Current memory usage</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h3><code>GET /api/v1/jobs</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: system-level</p>
+<p>List all processing jobs (monitor jobs) in the system. Shows job status, which file each job is processing, and current processor info.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/jobs&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;{count, jobs: [.jobs[] | {uuid, status}]}&#39;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;jobs&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
+<span class="w">    </span><span class="p">{</span>
+<span class="w">      </span><span class="nt">&quot;id&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">42</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;3a6c1865...&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;running&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;current_processor&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;yolo&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;created_at&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;2026-05-16T12:00:00Z&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;started_at&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;2026-05-16T12:01:00Z&quot;</span>
+<span class="w">    </span><span class="p">}</span>
+<span class="w">  </span><span class="p">],</span>
+<span class="w">  </span><span class="nt">&quot;count&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">15</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;page&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">1</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;page_size&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">20</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>jobs</code></td>
+<td>array</td>
+<td>Array of job info objects</td>
+</tr>
+<tr>
+<td><code>jobs[].id</code></td>
+<td>integer</td>
+<td>Job ID</td>
+</tr>
+<tr>
+<td><code>jobs[].uuid</code></td>
+<td>string</td>
+<td>File UUID being processed</td>
+</tr>
+<tr>
+<td><code>jobs[].status</code></td>
+<td>string</td>
+<td><code>"pending"</code>, <code>"running"</code>, <code>"completed"</code>, <code>"failed"</code></td>
+</tr>
+<tr>
+<td><code>jobs[].current_processor</code></td>
+<td>string</td>
+<td>Currently active processor, or null</td>
+</tr>
+<tr>
+<td><code>count</code></td>
+<td>integer</td>
+<td>Total job count</td>
+</tr>
+<tr>
+<td><code>page</code></td>
+<td>integer</td>
+<td>Current page number</td>
+</tr>
+<tr>
+<td><code>page_size</code></td>
+<td>integer</td>
+<td>Jobs per page</td>
+</tr>
+</tbody>
+</table>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc/06_search.html

@@ -0,0 +1,280 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>06 Search - Momentry API Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 24px; margin: 24px 0 12px; }
+h2 { font-size: 20px; margin: 20px 0 10px; color: #222; }
+h3 { font-size: 16px; margin: 16px 0 8px; color: #444; }
+p { line-height: 1.6; margin: 8px 0; }
+table { border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }
+th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; }
+th { background: #f0f0f0; font-weight: 600; }
+code { background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }
+pre { background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }
+pre code { background: none; padding: 0; }
+a { color: #0066cc; }
+.back { display: inline-block; margin-bottom: 20px; color: #666; }
+.back:hover { color: #333; }
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+<!-- module: search -->
+<!-- description: Vector search, BM25, smart search, universal search, visual search -->
+<!-- depends: 01_auth -->
+
+<h2>Search APIs</h2>
+<h3><code>POST /api/v1/search/smart</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Semantic vector search using EmbeddingGemma-300m. Generates a query embedding via EmbeddingGemma (port 11436), then searches pgvector <code>story_parent</code> and <code>llm_parent</code> chunks by cosine similarity.</p>
+<h4>Request Parameters</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Default</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>Yes</td>
+<td>—</td>
+<td>File UUID to search within</td>
+</tr>
+<tr>
+<td><code>query</code></td>
+<td>string</td>
+<td>Yes</td>
+<td>—</td>
+<td>Search text</td>
+</tr>
+<tr>
+<td><code>limit</code></td>
+<td>integer</td>
+<td>No</td>
+<td>5</td>
+<td>Max results to return</td>
+</tr>
+<tr>
+<td><code>page</code></td>
+<td>integer</td>
+<td>No</td>
+<td>1</td>
+<td>Page number</td>
+</tr>
+<tr>
+<td><code>page_size</code></td>
+<td>integer</td>
+<td>No</td>
+<td>5</td>
+<td>Items per page</td>
+</tr>
+</tbody>
+</table>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/search/smart&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Authorization: Bearer </span><span class="nv">$JWT</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;file_uuid&quot;: &quot;&#39;</span><span class="s2">&quot;</span><span class="nv">$FILE_UUID</span><span class="s2">&quot;</span><span class="s1">&#39;&quot;, &quot;query&quot;: &quot;Audrey Hepburn&quot;}&#39;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;query&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Audrey Hepburn&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;results&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
+<span class="w">    </span><span class="p">{</span>
+<span class="w">      </span><span class="nt">&quot;parent_id&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">1087822</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;scene_order&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">1087822</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;start_frame&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">104438</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;end_frame&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">104538</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;fps&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">24.0</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;start_time&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">4351.6</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;end_time&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">4355.76</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;summary&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;[4352s-4356s, 4s] Cast: Audrey Hepburn. Total: 2 lines, 10 words. Speakers: Audrey Hepburn (2 lines)&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;similarity&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">0.67</span>
+<span class="w">    </span><span class="p">}</span>
+<span class="w">  </span><span class="p">],</span>
+<span class="w">  </span><span class="nt">&quot;page&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">1</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;page_size&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">5</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;strategy&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;semantic_vector_search&quot;</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<hr />
+<h3><code>POST /api/v1/search/universal</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Multi-type BM25 full-text search across chunks, frames, and persons. Uses PostgreSQL <code>tsvector</code>.</p>
+<h4>Request Parameters</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Default</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>query</code></td>
+<td>string</td>
+<td>Yes</td>
+<td>—</td>
+<td>Search text</td>
+</tr>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>No</td>
+<td>—</td>
+<td>Restrict to specific file</td>
+</tr>
+<tr>
+<td><code>types</code></td>
+<td>string[]</td>
+<td>No</td>
+<td><code>["chunk","frame","person"]</code></td>
+<td>Search types</td>
+</tr>
+<tr>
+<td><code>limit</code></td>
+<td>integer</td>
+<td>No</td>
+<td>10</td>
+<td>Max results per type</td>
+</tr>
+<tr>
+<td><code>page</code></td>
+<td>integer</td>
+<td>No</td>
+<td>1</td>
+<td>Page number</td>
+</tr>
+<tr>
+<td><code>page_size</code></td>
+<td>integer</td>
+<td>No</td>
+<td>20</td>
+<td>Items per page</td>
+</tr>
+</tbody>
+</table>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/search/universal&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Authorization: Bearer </span><span class="nv">$JWT</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;file_uuid&quot;: &quot;&#39;</span><span class="s2">&quot;</span><span class="nv">$FILE_UUID</span><span class="s2">&quot;</span><span class="s1">&#39;&quot;, &quot;query&quot;: &quot;Cary Grant&quot;}&#39;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;results&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
+<span class="w">    </span><span class="p">{</span>
+<span class="w">      </span><span class="nt">&quot;type&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;chunk&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;chunk_id&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;bd80fec92b0b6963d177a2c55bf713e2_2&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;chunk_type&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;story_child&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;start_frame&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">5103</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;end_frame&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">5127</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;start_time&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">212.64</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;end_time&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">213.64</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;text&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;[213s-214s] Cary Grant: \&quot;Olá!\&quot;&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;score&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">0.9</span>
+<span class="w">    </span><span class="p">}</span>
+<span class="w">  </span><span class="p">],</span>
+<span class="w">  </span><span class="nt">&quot;total&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">20</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;took_ms&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">18</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<hr />
+<h3><code>POST /api/v1/search/frames</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Search face detection frames by identity name or trace ID.</p>
+<hr />
+<h3><code>POST /api/v1/search/identity_text</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Search text chunks spoken by a specific identity.</p>
+<hr />
+<h3>Visual Search</h3>
+<table class="table">
+<thead>
+<tr>
+<th>Method</th>
+<th>Endpoint</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>POST</td>
+<td><code>/api/v1/search/visual</code></td>
+<td>Search visual chunks</td>
+</tr>
+<tr>
+<td>POST</td>
+<td><code>/api/v1/search/visual/class</code></td>
+<td>Search by object class</td>
+</tr>
+<tr>
+<td>POST</td>
+<td><code>/api/v1/search/visual/density</code></td>
+<td>Search by object density</td>
+</tr>
+<tr>
+<td>POST</td>
+<td><code>/api/v1/search/visual/combination</code></td>
+<td>Search by object combination</td>
+</tr>
+<tr>
+<td>POST</td>
+<td><code>/api/v1/search/visual/stats</code></td>
+<td>Visual chunk statistics</td>
+</tr>
+</tbody>
+</table>
+<h4>Embedding Model</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Detail</th>
+<th>Value</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><strong>Model</strong></td>
+<td>EmbeddingGemma-300m</td>
+</tr>
+<tr>
+<td><strong>Endpoint</strong></td>
+<td><code>POST /api/v1/embeddings</code> on port 11436</td>
+</tr>
+<tr>
+<td><strong>Dimension</strong></td>
+<td>768</td>
+</tr>
+<tr>
+<td><strong>Storage</strong></td>
+<td>pgvector (<code>chunk.embedding</code> column)</td>
+</tr>
+</tbody>
+</table>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc/07_identity.html

@@ -0,0 +1,510 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>07 Identity - Momentry API Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 24px; margin: 24px 0 12px; }
+h2 { font-size: 20px; margin: 20px 0 10px; color: #222; }
+h3 { font-size: 16px; margin: 16px 0 8px; color: #444; }
+p { line-height: 1.6; margin: 8px 0; }
+table { border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }
+th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; }
+th { background: #f0f0f0; font-weight: 600; }
+code { background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }
+pre { background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }
+pre code { background: none; padding: 0; }
+a { color: #0066cc; }
+.back { display: inline-block; margin-bottom: 20px; color: #666; }
+.back:hover { color: #333; }
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+<!-- module: identity -->
+<!-- description: Global identities — CRUD, detail, files, faces, bind, unbind, search -->
+<!-- depends: 01_auth -->
+
+<h2>Global Identities</h2>
+<h3><code>GET /api/v1/identities</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: identity-level</p>
+<p>List all registered identities with pagination.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/identities?page=1&amp;page_size=20&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;{count, identities: [.identities[] | {name}]}&#39;</span>
+</code></pre></div>
+
+<hr />
+<h3><code>GET /api/v1/identity/:identity_uuid</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: identity-level</p>
+<p>Get detailed information for a specific identity, including metadata and TMDb references.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/identity/</span><span class="nv">$IDENTITY_UUID</span><span class="s2">&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;identity_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;a9a901056d6b46ff92da0c3c1a57dff4&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Cary Grant&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;identity_type&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;people&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;source&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;tmdb&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;confirmed&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;tmdb_id&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">112</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;tmdb_profile&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;{output}/identities/{identity_uuid}/profile.jpg&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;metadata&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{},</span>
+<span class="w">  </span><span class="nt">&quot;reference_data&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{},</span>
+<span class="w">  </span><span class="nt">&quot;created_at&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;2026-05-16T12:00:00Z&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;updated_at&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">null</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>identity_uuid</code></td>
+<td>string</td>
+<td>Identity identifier</td>
+</tr>
+<tr>
+<td><code>name</code></td>
+<td>string</td>
+<td>Identity name</td>
+</tr>
+<tr>
+<td><code>identity_type</code></td>
+<td>string</td>
+<td><code>"people"</code> or null</td>
+</tr>
+<tr>
+<td><code>source</code></td>
+<td>string</td>
+<td><code>.json</code>, <code>auto</code>, <code>tmdb</code>, <code>user_defined</code>, or <code>merged</code></td>
+</tr>
+<tr>
+<td><code>status</code></td>
+<td>string</td>
+<td><code>"confirmed"</code>, <code>"pending"</code>, or <code>"inactive"</code></td>
+</tr>
+<tr>
+<td><code>tmdb_id</code></td>
+<td>integer</td>
+<td>TMDb person ID (only if source = tmdb)</td>
+</tr>
+<tr>
+<td><code>tmdb_profile</code></td>
+<td>string</td>
+<td>Local profile image path (<code>{output}/identities/{uuid}/profile.jpg</code>)</td>
+</tr>
+<tr>
+<td><code>metadata</code></td>
+<td>object</td>
+<td>Metadata JSON (tmdb_character, cast_order, etc.)</td>
+</tr>
+<tr>
+<td><code>created_at</code></td>
+<td>string</td>
+<td>Creation timestamp</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h3><code>DELETE /api/v1/identity/:identity_uuid</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: identity-level</p>
+<p>Delete an identity permanently.</p>
+<hr />
+<h3><code>GET /api/v1/identity/:identity_uuid/files</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: identity-level</p>
+<p>Get all files where this identity appears. Returns per-file summary including face count, confidence, and appearance time range.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/identity/</span><span class="nv">$IDENTITY_UUID</span><span class="s2">/files&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span>
+</code></pre></div>
+
+<hr />
+<h3><code>GET /api/v1/identity/:identity_uuid/faces</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: identity-level</p>
+<p>Get all face detection records associated with this identity.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/identity/</span><span class="nv">$IDENTITY_UUID</span><span class="s2">/faces&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>File where face was detected</td>
+</tr>
+<tr>
+<td><code>frame_number</code></td>
+<td>integer</td>
+<td>Frame number of detection</td>
+</tr>
+<tr>
+<td><code>face_id</code></td>
+<td>string</td>
+<td>Face ID (format: <code>face_{frame_number}</code>)</td>
+</tr>
+<tr>
+<td><code>confidence</code></td>
+<td>float</td>
+<td>Detection confidence</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h3><code>GET /api/v1/identity/:identity_uuid/chunks</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: identity-level</p>
+<p>Get all text chunks (sentences) spoken while this identity's face was on screen. Useful for finding what a person said.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/identity/</span><span class="nv">$IDENTITY_UUID</span><span class="s2">/chunks&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;identity_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;a9a901056d6b46ff92da0c3c1a57dff4&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;data&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
+<span class="w">    </span><span class="p">{</span>
+<span class="w">      </span><span class="nt">&quot;id&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">0</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;bd80fec92b0b6963d177a2c55bf713e2&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;chunk_id&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;bd80fec92b0b6963d177a2c55bf713e2_2&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;chunk_type&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;sentence&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;start_frame&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">5103</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;end_frame&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">5127</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;fps&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">24.0</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;start_time&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">212.64</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;end_time&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">213.64</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;text_content&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;[213s-214s] Cary Grant: \&quot;Olá!\&quot;&quot;</span>
+<span class="w">    </span><span class="p">}</span>
+<span class="w">  </span><span class="p">]</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>File identifier</td>
+</tr>
+<tr>
+<td><code>chunk_id</code></td>
+<td>string</td>
+<td>Sentence chunk identifier</td>
+</tr>
+<tr>
+<td><code>start_frame</code></td>
+<td>integer</td>
+<td>Frame-accurate start position</td>
+</tr>
+<tr>
+<td><code>end_frame</code></td>
+<td>integer</td>
+<td>Frame-accurate end position</td>
+</tr>
+<tr>
+<td><code>fps</code></td>
+<td>float</td>
+<td>Frames per second</td>
+</tr>
+<tr>
+<td><code>start_time</code></td>
+<td>float</td>
+<td>Start time in seconds</td>
+</tr>
+<tr>
+<td><code>end_time</code></td>
+<td>float</td>
+<td>End time in seconds</td>
+</tr>
+<tr>
+<td><code>text_content</code></td>
+<td>string</td>
+<td>Spoken text content</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h3><code>POST /api/v1/identity/:identity_uuid/bind</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: identity-level</p>
+<p>Bind a face detection to an identity. Associates the face trace with the identity for future search and recognition.</p>
+<h4>Request Parameters</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>Yes</td>
+<td>File where face is detected</td>
+</tr>
+<tr>
+<td><code>face_id</code></td>
+<td>string</td>
+<td>Yes</td>
+<td>Face ID (format: <code>{frame}_{idx}</code>)</td>
+</tr>
+</tbody>
+</table>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/identity/</span><span class="nv">$IDENTITY_UUID</span><span class="s2">/bind&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;file_uuid&quot;: &quot;&#39;</span><span class="s2">&quot;</span><span class="nv">$FILE_UUID</span><span class="s2">&quot;</span><span class="s1">&#39;&quot;, &quot;face_id&quot;: &quot;1_5&quot;}&#39;</span>
+</code></pre></div>
+
+<hr />
+<h3><code>POST /api/v1/identity/:identity_uuid/unbind</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: identity-level</p>
+<p>Unbind a face detection from an identity. Removes the identity association from the face record.</p>
+<hr />
+<h3><code>GET /api/v1/identities/search</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: identity-level</p>
+<p>Search identities by name (ILIKE search). Returns matching identity records.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/identities/search?q=Cary&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>name</code></td>
+<td>string</td>
+<td>Identity name</td>
+</tr>
+<tr>
+<td><code>source</code></td>
+<td>string</td>
+<td>Identity source</td>
+</tr>
+<tr>
+<td><code>tmdb_id</code></td>
+<td>integer</td>
+<td>TMDb ID (if source = tmdb)</td>
+</tr>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>Associated file</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<hr />
+<h3><code>POST /api/v1/identity/upload</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: identity-level</p>
+<p>Upload an identity.json file to create or update an identity. Accepts the same format as the identity.json files stored on disk.</p>
+<p>If an identity with the same <code>name</code> already exists, it will be updated with the new values.</p>
+<h4>Request</h4>
+<p>The request body is an <code>IdentityFile</code> object:</p>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>identity_uuid</code></td>
+<td>string</td>
+<td>Yes</td>
+<td>Identity identifier</td>
+</tr>
+<tr>
+<td><code>name</code></td>
+<td>string</td>
+<td>Yes</td>
+<td>Identity display name</td>
+</tr>
+<tr>
+<td><code>identity_type</code></td>
+<td>string</td>
+<td>No</td>
+<td><code>"people"</code> or null</td>
+</tr>
+<tr>
+<td><code>source</code></td>
+<td>string</td>
+<td>No</td>
+<td><code>.json</code>, <code>auto</code>, <code>tmdb</code>, <code>user_defined</code>, or <code>merged</code></td>
+</tr>
+<tr>
+<td><code>status</code></td>
+<td>string</td>
+<td>No</td>
+<td><code>"confirmed"</code>, <code>"pending"</code>, or <code>"inactive"</code></td>
+</tr>
+<tr>
+<td><code>tmdb_id</code></td>
+<td>integer</td>
+<td>No</td>
+<td>TMDb person ID</td>
+</tr>
+<tr>
+<td><code>tmdb_profile</code></td>
+<td>string</td>
+<td>No</td>
+<td>TMDb profile image URL</td>
+</tr>
+<tr>
+<td><code>metadata</code></td>
+<td>object</td>
+<td>No</td>
+<td>Arbitrary metadata JSON</td>
+</tr>
+<tr>
+<td><code>file_bindings</code></td>
+<td>array</td>
+<td>No</td>
+<td>Array of <code>{ file_uuid, trace_ids, face_count }</code> (informational)</td>
+</tr>
+</tbody>
+</table>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/identity/upload&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{</span>
+<span class="s1">    &quot;version&quot;: 1,</span>
+<span class="s1">    &quot;identity_uuid&quot;: &quot;a9a901056d6b46ff92da0c3c1a57dff4&quot;,</span>
+<span class="s1">    &quot;name&quot;: &quot;Cary Grant&quot;,</span>
+<span class="s1">    &quot;identity_type&quot;: &quot;people&quot;,</span>
+<span class="s1">    &quot;source&quot;: &quot;.json&quot;,</span>
+<span class="s1">    &quot;status&quot;: &quot;confirmed&quot;,</span>
+<span class="s1">    &quot;metadata&quot;: {},</span>
+<span class="s1">    &quot;file_bindings&quot;: []</span>
+<span class="s1">  }&#39;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;identity_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;a9a901056d6b46ff92da0c3c1a57dff4&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Cary Grant&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;message&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Identity uploaded successfully&quot;</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<hr />
+<hr />
+<h3><code>POST /api/v1/identity/:identity_uuid/profile-image</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: identity-level</p>
+<p>Upload a profile image (JPEG or PNG) for an identity. The image is saved to <code>{output}/identities/{uuid}/profile.{ext}</code>.</p>
+<p>Uses <code>multipart/form-data</code> with field name <code>image</code>.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/identity/</span><span class="nv">$IDENTITY_UUID</span><span class="s2">/profile-image&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-F<span class="w"> </span><span class="s2">&quot;image=@/path/to/photo.jpg&quot;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;identity_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;a9a901056d6b46ff92da0c3c1a57dff4&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;path&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;/path/to/output/identities/.../profile.jpg&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;message&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Profile image saved: profile.jpg&quot;</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<h4>Error Responses</h4>
+<table class="table">
+<thead>
+<tr>
+<th>HTTP</th>
+<th>When</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>400</code></td>
+<td>Missing image field or unsupported format</td>
+</tr>
+<tr>
+<td><code>404</code></td>
+<td>Identity not found</td>
+</tr>
+<tr>
+<td><code>415</code></td>
+<td>Unsupported image type (use JPEG or PNG)</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h3><code>GET /api/v1/identity/:identity_uuid/profile-image</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: identity-level</p>
+<p>Retrieve the profile image for an identity. Returns the raw image data with appropriate Content-Type header.</p>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/identity/</span><span class="nv">$IDENTITY_UUID</span><span class="s2">/profile-image&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span>-o<span class="w"> </span>profile.jpg
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Response Header</th>
+<th>Value</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>content-type</code></td>
+<td><code>image/jpeg</code> or <code>image/png</code></td>
+</tr>
+</tbody>
+</table>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc/08_identity_agent.html

@@ -0,0 +1,97 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>08 Identity Agent - Momentry API Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 24px; margin: 24px 0 12px; }
+h2 { font-size: 20px; margin: 20px 0 10px; color: #222; }
+h3 { font-size: 16px; margin: 16px 0 8px; color: #444; }
+p { line-height: 1.6; margin: 8px 0; }
+table { border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }
+th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; }
+th { background: #f0f0f0; font-weight: 600; }
+code { background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }
+pre { background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }
+pre code { background: none; padding: 0; }
+a { color: #0066cc; }
+.back { display: inline-block; margin-bottom: 20px; color: #666; }
+.back:hover { color: #333; }
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+<!-- module: identity_agent -->
+<!-- description: Identity agent — match from photo, match from trace -->
+<!-- depends: 01_auth, 07_identity -->
+
+<h2>Identity Agent</h2>
+<h3><code>POST /api/v1/agents/identity/match-from-photo</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Upload a face photo to match against known identities. Detects face via InsightFace, extracts 512D embedding via CoreML FaceNet, then searches pgvector for the closest identity.</p>
+<h4>Request</h4>
+<p><code>multipart/form-data</code> with field <code>image</code> (JPEG/PNG) and optional <code>file_uuid</code>.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/agents/identity/match-from-photo&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Authorization: Bearer </span><span class="nv">$JWT</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-F<span class="w"> </span><span class="s2">&quot;image=@/path/to/face.jpg&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-F<span class="w"> </span><span class="s2">&quot;file_uuid=</span><span class="nv">$FILE_UUID</span><span class="s2">&quot;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;matches&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
+<span class="w">    </span><span class="p">{</span>
+<span class="w">      </span><span class="nt">&quot;identity_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;a9a90105...&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Cary Grant&quot;</span><span class="p">,</span>
+<span class="w">      </span><span class="nt">&quot;similarity&quot;</span><span class="p">:</span><span class="w"> </span><span class="mf">0.87</span>
+<span class="w">    </span><span class="p">}</span>
+<span class="w">  </span><span class="p">]</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<hr />
+<h3><code>POST /api/v1/agents/identity/match-from-trace</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Match a face trace (tracked face across frames) against known identities. Samples 3 angles from the trace, generates embeddings, and searches pgvector.</p>
+<h4>Request Parameters</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>Yes</td>
+<td>File containing the trace</td>
+</tr>
+<tr>
+<td><code>trace_id</code></td>
+<td>integer</td>
+<td>Yes</td>
+<td>Face trace ID to match</td>
+</tr>
+</tbody>
+</table>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/agents/identity/match-from-trace&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Authorization: Bearer </span><span class="nv">$JWT</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;file_uuid&quot;: &quot;&#39;</span><span class="s2">&quot;</span><span class="nv">$FILE_UUID</span><span class="s2">&quot;</span><span class="s1">&#39;&quot;, &quot;trace_id&quot;: 10}&#39;</span>
+</code></pre></div>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc/08_media.html

@@ -0,0 +1,303 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>08 Media - Momentry API Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 24px; margin: 24px 0 12px; }
+h2 { font-size: 20px; margin: 20px 0 10px; color: #222; }
+h3 { font-size: 16px; margin: 16px 0 8px; color: #444; }
+p { line-height: 1.6; margin: 8px 0; }
+table { border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }
+th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; }
+th { background: #f0f0f0; font-weight: 600; }
+code { background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }
+pre { background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }
+pre code { background: none; padding: 0; }
+a { color: #0066cc; }
+.back { display: inline-block; margin-bottom: 20px; color: #666; }
+.back:hover { color: #333; }
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+<!-- module: media -->
+<!-- description: Video streaming & frame extraction -->
+<!-- depends: 01_auth -->
+
+<h2>Video Streaming &amp; Frame Extraction</h2>
+<p>All video streaming endpoints support the following common query parameters:</p>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Default</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>mode</code></td>
+<td>string</td>
+<td>No</td>
+<td><code>normal</code></td>
+<td><code>normal</code> or <code>debug</code> (draws detection overlays)</td>
+</tr>
+<tr>
+<td><code>audio</code></td>
+<td>string</td>
+<td>No</td>
+<td><code>on</code></td>
+<td><code>on</code> or <code>off</code></td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h3><code>GET /api/v1/file/:file_uuid/video</code></h3>
+<p>Stream the full video file with range support for seeking.</p>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<h4>Response</h4>
+<ul>
+<li><strong>200</strong>: Video stream (<code>Content-Type</code> based on file extension)</li>
+<li><strong>206</strong>: Partial content (range request)</li>
+<li>Supports <code>Range</code> header for seeking</li>
+</ul>
+<hr />
+<h3><code>GET /api/v1/file/:file_uuid/trace/:trace_id/video</code></h3>
+<p>Stream video with highlights for a specific face trace (follows a single person across frames with bounding box overlay).</p>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<hr />
+<h3><code>GET /api/v1/file/:file_uuid/video/bbox</code></h3>
+<p>Stream video with bounding box overlay for all detected objects/faces.</p>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Uses a built-in 5×7 bitmap font renderer to draw labels directly on video frames via FFmpeg <code>drawtext</code> filter.</p>
+<hr />
+<h3><code>GET /api/v1/file/:file_uuid/thumbnail</code></h3>
+<p>Extract a single frame from a video as JPEG image. Uses FFmpeg <code>select</code> filter.</p>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<h4>Query Parameters</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Default</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>frame</code></td>
+<td>integer</td>
+<td>Yes</td>
+<td>—</td>
+<td>Zero-based frame number to extract</td>
+</tr>
+<tr>
+<td><code>x</code></td>
+<td>integer</td>
+<td>No</td>
+<td>—</td>
+<td>Crop start X (left edge). Requires <code>y</code>, <code>w</code>, <code>h</code>.</td>
+</tr>
+<tr>
+<td><code>y</code></td>
+<td>integer</td>
+<td>No</td>
+<td>—</td>
+<td>Crop start Y (top edge). Requires <code>x</code>, <code>w</code>, <code>h</code>.</td>
+</tr>
+<tr>
+<td><code>w</code></td>
+<td>integer</td>
+<td>No</td>
+<td>—</td>
+<td>Crop width in pixels. Requires <code>x</code>, <code>y</code>, <code>h</code>.</td>
+</tr>
+<tr>
+<td><code>h</code></td>
+<td>integer</td>
+<td>No</td>
+<td>—</td>
+<td>Crop height in pixels. Requires <code>x</code>, <code>y</code>, <code>w</code>.</td>
+</tr>
+</tbody>
+</table>
+<p>All four crop params (<code>x</code>, <code>y</code>, <code>w</code>, <code>h</code>) must be provided together or omitted.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code><span class="c1"># Extract frame 1000 (full frame)</span>
+curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/file/bd80fec92b0b6963d177a2c55bf713e2/thumbnail?frame=1000&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Authorization: Bearer </span><span class="nv">$JWT</span><span class="s2">&quot;</span><span class="w"> </span>-o<span class="w"> </span>frame_1000.jpg
+
+<span class="c1"># Extract and crop face region (x=320, y=240, w=160, h=160)</span>
+curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/file/bd80fec92b0b6963d177a2c55bf713e2/thumbnail?frame=1000&amp;x=320&amp;y=240&amp;w=160&amp;h=160&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Authorization: Bearer </span><span class="nv">$JWT</span><span class="s2">&quot;</span><span class="w"> </span>-o<span class="w"> </span>face_crop.jpg
+</code></pre></div>
+
+<h4>Response</h4>
+<ul>
+<li><strong>200</strong>: <code>image/jpeg</code> binary data</li>
+<li><strong>404</strong>: File not found</li>
+<li><strong>500</strong>: FFmpeg error (e.g., frame number exceeds video duration)</li>
+</ul>
+<h3><code>GET /api/v1/file/:file_uuid/clip</code></h3>
+<p>Extract a video clip (time range) as MPEG-TS stream. Uses FFmpeg <code>-ss</code> fast seek.</p>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<h4>Query Parameters</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Default</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>start_frame</code></td>
+<td>integer</td>
+<td>No*</td>
+<td>—</td>
+<td>Start frame (zero-based). <strong>Frame-accurate</strong> — use this for precision.</td>
+</tr>
+<tr>
+<td><code>end_frame</code></td>
+<td>integer</td>
+<td>No*</td>
+<td>—</td>
+<td>End frame (zero-based, inclusive). Requires <code>start_frame</code>.</td>
+</tr>
+<tr>
+<td><code>start_time</code></td>
+<td>float</td>
+<td>No*</td>
+<td>—</td>
+<td>Start time in seconds. Approximate (FPS-dependent). Fallback if frames not given.</td>
+</tr>
+<tr>
+<td><code>end_time</code></td>
+<td>float</td>
+<td>No*</td>
+<td>—</td>
+<td>End time in seconds. Approximate (FPS-dependent). Fallback if frames not given.</td>
+</tr>
+<tr>
+<td><code>fps</code></td>
+<td>float</td>
+<td>No</td>
+<td>video FPS</td>
+<td>Override frames-per-second for frame↔time calculation. Defaults to video's detected FPS.</td>
+</tr>
+<tr>
+<td><code>mode</code></td>
+<td>string</td>
+<td>No</td>
+<td><code>normal</code></td>
+<td><code>normal</code> or <code>debug</code> (draws "CLIP" overlay)</td>
+</tr>
+<tr>
+<td><code>audio</code></td>
+<td>string</td>
+<td>No</td>
+<td><code>on</code></td>
+<td><code>on</code> or <code>off</code></td>
+</tr>
+</tbody>
+</table>
+<p>Either (<code>start_frame</code>+<code>end_frame</code>) OR (<code>start_time</code>+<code>end_time</code>) must be provided.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code><span class="c1"># Clip by frame range (primary)</span>
+curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/file/bd80fec92b0b6963d177a2c55bf713e2/clip?start_frame=0&amp;end_frame=47&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Authorization: Bearer </span><span class="nv">$JWT</span><span class="s2">&quot;</span><span class="w"> </span>-o<span class="w"> </span>clip.ts
+
+<span class="c1"># Clip by time range (fallback)</span>
+curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/file/bd80fec92b0b6963d177a2c55bf713e2/clip?start_time=30&amp;end_time=45&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Authorization: Bearer </span><span class="nv">$JWT</span><span class="s2">&quot;</span><span class="w"> </span>-o<span class="w"> </span>clip.ts
+</code></pre></div>
+
+<h4>Response</h4>
+<ul>
+<li><strong>200</strong>: <code>video/mp2t</code> MPEG-TS stream</li>
+<li><strong>400</strong>: Missing/invalid range parameters</li>
+<li><strong>404</strong>: File not found</li>
+<li><strong>500</strong>: FFmpeg error</li>
+</ul>
+<h4>Technical Notes</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Detail</th>
+<th>Value</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><strong>Backend</strong></td>
+<td>FFmpeg (<code>ffmpeg-full</code>)</td>
+</tr>
+<tr>
+<td><strong>Seek</strong></td>
+<td><code>-ss</code> before <code>-i</code> (fast keyframe seek)</td>
+</tr>
+<tr>
+<td><strong>Format</strong></td>
+<td>MPEG-TS (<code>mpegts</code> muxer, pipe-safe)</td>
+</tr>
+<tr>
+<td><strong>Codec</strong></td>
+<td>H.264 + AAC</td>
+</tr>
+<tr>
+<td><strong>Cache</strong></td>
+<td><code>Cache-Control: public, max-age=86400</code> (24h)</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<table class="table">
+<thead>
+<tr>
+<th>Detail</th>
+<th>Value</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><strong>Backend</strong></td>
+<td>FFmpeg (<code>ffmpeg-full</code>)</td>
+</tr>
+<tr>
+<td><strong>Filter</strong></td>
+<td><code>select=eq(n\,FRAME)</code> to select frame, optional <code>crop=W:H:X:Y</code></td>
+</tr>
+<tr>
+<td><strong>Output</strong></td>
+<td>Single JPEG via pipe (<code>image2pipe</code>, <code>mjpeg</code> codec)</td>
+</tr>
+<tr>
+<td><strong>Cache</strong></td>
+<td><code>Cache-Control: public, max-age=86400</code> (24h)</td>
+</tr>
+<tr>
+<td><strong>Frame number</strong></td>
+<td>Zero-based (<code>frame=0</code> = first frame of video)</td>
+</tr>
+</tbody>
+</table>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc/09_tmdb.html

@@ -0,0 +1,123 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>09 Tmdb - Momentry API Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 24px; margin: 24px 0 12px; }
+h2 { font-size: 20px; margin: 20px 0 10px; color: #222; }
+h3 { font-size: 16px; margin: 16px 0 8px; color: #444; }
+p { line-height: 1.6; margin: 8px 0; }
+table { border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }
+th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; }
+th { background: #f0f0f0; font-weight: 600; }
+code { background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }
+pre { background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }
+pre code { background: none; padding: 0; }
+a { color: #0066cc; }
+.back { display: inline-block; margin-bottom: 20px; color: #666; }
+.back:hover { color: #333; }
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+<!-- module: tmdb -->
+<!-- description: TMDb enrichment endpoints — prefetch, probe, resource, check -->
+<!-- depends: 01_auth, 03_register -->
+
+<h2>TMDb Enrichment</h2>
+<blockquote>
+<p><strong>Offline operation</strong>: TMDb prefetch now checks local identity files first (<code>identities/_index.json</code> + <code>*.tmdb.json</code>).
+If local files exist, no external API call is made. Internet is only needed for initial data seeding.</p>
+</blockquote>
+<h3>Overview</h3>
+<p>TMDb enrichment is an optional identity enrichment step that can be run after Pipeline face detection completes. The workflow is:</p>
+<ol>
+<li><strong>Prefetch</strong> (requires internet): Download movie cast data from TMDb API → cache to <code>{file_uuid}.tmdb.json</code></li>
+<li><strong>Probe</strong>: Read local cache → create identities for <strong>all</strong> cast members (<code>source='tmdb'</code>) + save <code>identity.json</code> + download profile image to <code>{OUTPUT}/identities/{uuid}/profile.jpg</code></li>
+<li><strong>Match</strong>: The worker automatically matches video faces against TMDb identities when <code>MOMENTRY_TMDB_PROBE_ENABLED=true</code></li>
+</ol>
+<h3><code>POST /api/v1/agents/tmdb/prefetch</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Fetch TMDb cast data for a registered file and cache it locally. This is the only step requiring internet access.</p>
+<h4>Request Parameters</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>file_uuid</code></td>
+<td>string</td>
+<td>Yes</td>
+<td>File UUID to enrich</td>
+</tr>
+</tbody>
+</table>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/agents/tmdb/prefetch&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;file_uuid&quot;: &quot;&#39;</span><span class="s2">&quot;</span><span class="nv">$FILE_UUID</span><span class="s2">&quot;</span><span class="s1">&#39;&quot;}&#39;</span>
+</code></pre></div>
+
+<h4>Response (200)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;...&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;cache_path&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;/output/...tmdb.json&quot;</span><span class="p">}</span>
+</code></pre></div>
+
+<h3><code>POST /api/v1/file/:file_uuid/tmdb-probe</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: file-level</p>
+<p>Read local TMDb cache and create/update identities. Requires prefetch to have been run first.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/file/</span><span class="nv">$FILE_UUID</span><span class="s2">/tmdb-probe&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;{identities_created, movie_title}&#39;</span>
+</code></pre></div>
+
+<h4>Response (200 — identities created)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;identities_created&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">15</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;movie_title&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Charade&quot;</span><span class="p">}</span>
+</code></pre></div>
+
+<h4>Response (200 — no cache)</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">false</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;message&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;No TMDb cache found. Run tmdb-prefetch first.&quot;</span><span class="p">}</span>
+</code></pre></div>
+
+<h3><code>GET /api/v1/resource/tmdb</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: system-level</p>
+<p>View TMDb resource status including configuration, identity counts, and cache file count.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/resource/tmdb&quot;</span><span class="w"> </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;{identities_seeded, cache_files}&#39;</span>
+</code></pre></div>
+
+<h3><code>POST /api/v1/resource/tmdb/check</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: system-level</p>
+<p>Ping the TMDb API to verify connectivity and measure latency.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/resource/tmdb/check&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;.status&#39;</span>
+</code></pre></div>
+
+<h4>Response</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;api_key_configured&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;enabled&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">false</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;api_reachable&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;api_latency_ms&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">120</span>
+<span class="p">}</span>
+</code></pre></div>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc/10_pipeline.html

@@ -0,0 +1,364 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>10 Pipeline - Momentry API Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 24px; margin: 24px 0 12px; }
+h2 { font-size: 20px; margin: 20px 0 10px; color: #222; }
+h3 { font-size: 16px; margin: 16px 0 8px; color: #444; }
+p { line-height: 1.6; margin: 8px 0; }
+table { border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }
+th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; }
+th { background: #f0f0f0; font-weight: 600; }
+code { background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }
+pre { background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }
+pre code { background: none; padding: 0; }
+a { color: #0066cc; }
+.back { display: inline-block; margin-bottom: 20px; color: #666; }
+.back:hover { color: #333; }
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+<!-- module: pipeline -->
+<!-- description: Pipeline processors, ingestion status, stats endpoints -->
+<!-- depends: 01_auth -->
+
+<h2>Pipeline</h2>
+<h3>Dependency Graph</h3>
+<div class="codehilite"><pre><span></span><code><span class="n">flowchart</span><span class="w"> </span><span class="n">TB</span>
+<span class="w">    </span><span class="n">subgraph</span><span class="w"> </span><span class="n">Processors</span><span class="p">[</span><span class="s">&quot;10 Processors&quot;</span><span class="p">]</span>
+<span class="w">        </span><span class="n">Cut</span><span class="p">[</span><span class="n">Cut</span><span class="p">]</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">ASR</span><span class="p">[</span><span class="n">ASR</span><span class="p">]</span>
+<span class="w">        </span><span class="n">ASR</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">ASRX</span><span class="p">[</span><span class="n">ASRX</span><span class="p">]</span>
+<span class="w">        </span><span class="n">ASRX</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Story</span><span class="p">[</span><span class="n">Story</span><span class="p">]</span>
+<span class="w">        </span><span class="n">Cut</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Story</span>
+<span class="w">        </span><span class="n">YOLO</span><span class="p">[</span><span class="n">YOLO</span><span class="p">]</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">VisualChunk</span><span class="p">[</span><span class="n">VisualChunk</span><span class="p">]</span>
+<span class="w">        </span><span class="n">VisualChunk</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Story</span>
+<span class="w">        </span><span class="n">Face</span><span class="p">[</span><span class="n">Face</span><span class="p">]</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Story</span>
+<span class="w">        </span><span class="n">Story</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">FiveW1H</span><span class="p">[</span><span class="mi">5</span><span class="n">W1H</span><span class="p">]</span>
+<span class="w">        </span><span class="n">OCR</span><span class="p">[</span><span class="n">OCR</span><span class="p">]</span>
+<span class="w">        </span><span class="n">Pose</span><span class="p">[</span><span class="n">Pose</span><span class="p">]</span>
+<span class="w">    </span><span class="n">end</span>
+
+<span class="w">    </span><span class="n">subgraph</span><span class="w"> </span><span class="n">Ingestion</span><span class="p">[</span><span class="s">&quot;入庫 (Post-Processing)&quot;</span><span class="p">]</span>
+<span class="w">        </span><span class="n">ASR</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Rule1</span><span class="p">[</span><span class="n">Rule</span><span class="w"> </span><span class="mi">1</span><span class="w"> </span><span class="n">Sentence</span><span class="p">]</span>
+<span class="w">        </span><span class="n">ASRX</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Rule1</span>
+<span class="w">        </span><span class="n">Rule1</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Vectorize</span><span class="p">[</span><span class="n">Auto</span><span class="o">-</span><span class="n">Vectorize</span><span class="p">]</span>
+<span class="w">        </span><span class="n">Rule1</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Phase1</span><span class="p">[</span><span class="n">Phase</span><span class="w"> </span><span class="mi">1</span><span class="w"> </span><span class="n">Pack</span><span class="p">]</span>
+
+<span class="w">        </span><span class="n">Cut</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Rule3</span><span class="p">[</span><span class="n">Rule</span><span class="w"> </span><span class="mi">3</span><span class="w"> </span><span class="n">Scene</span><span class="p">]</span>
+<span class="w">        </span><span class="n">ASR</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Rule3</span>
+
+<span class="w">        </span><span class="n">Face</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Trace</span><span class="p">[</span><span class="n">Face</span><span class="w"> </span><span class="n">Trace</span><span class="p">]</span>
+<span class="w">        </span><span class="n">Trace</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Qdrant</span><span class="p">[</span><span class="n">Qdrant</span><span class="w"> </span><span class="n">Sync</span><span class="p">]</span>
+<span class="w">        </span><span class="n">Trace</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">TraceChunks</span><span class="p">[</span><span class="n">Trace</span><span class="w"> </span><span class="n">Chunks</span><span class="p">]</span>
+<span class="w">        </span><span class="n">Trace</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">TKG</span><span class="p">[</span><span class="n">TKG</span><span class="w"> </span><span class="n">Builder</span><span class="p">]</span>
+
+<span class="w">        </span><span class="n">Face</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">TMDbMatch</span><span class="p">[</span><span class="n">TMDb</span><span class="w"> </span><span class="n">Match</span><span class="p">]</span>
+<span class="w">        </span><span class="n">Face</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">SceneMeta</span><span class="p">[</span><span class="n">Scene</span><span class="w"> </span><span class="n">Metadata</span><span class="p">]</span>
+<span class="w">        </span><span class="n">YOLO</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">SceneMeta</span>
+<span class="w">        </span><span class="n">Face</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">IdentityAgent</span><span class="p">[</span><span class="n">Identity</span><span class="w"> </span><span class="n">Agent</span><span class="p">]</span>
+<span class="w">        </span><span class="n">ASRX</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">IdentityAgent</span>
+
+<span class="w">        </span><span class="n">Cut</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Agent5W1H</span><span class="p">[</span><span class="mi">5</span><span class="n">W1H</span><span class="w"> </span><span class="n">Agent</span><span class="p">]</span>
+<span class="w">        </span><span class="n">ASR</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Agent5W1H</span>
+<span class="w">        </span><span class="n">Agent5W1H</span><span class="w"> </span><span class="o">--&gt;</span><span class="w"> </span><span class="n">Phase2</span><span class="p">[</span><span class="n">Phase</span><span class="w"> </span><span class="mi">2</span><span class="w"> </span><span class="n">Pack</span><span class="p">]</span>
+<span class="w">    </span><span class="n">end</span>
+
+<span class="w">    </span><span class="n">style</span><span class="w"> </span><span class="n">Processors</span><span class="w"> </span><span class="n">fill</span><span class="o">:</span><span class="err">#</span><span class="mi">1</span><span class="n">a1a2e</span><span class="p">,</span><span class="n">stroke</span><span class="o">:</span><span class="err">#</span><span class="n">e94560</span>
+<span class="w">    </span><span class="n">style</span><span class="w"> </span><span class="n">Ingestion</span><span class="w"> </span><span class="n">fill</span><span class="o">:</span><span class="err">#</span><span class="mi">16213</span><span class="n">e</span><span class="p">,</span><span class="n">stroke</span><span class="o">:</span><span class="err">#</span><span class="mf">0f</span><span class="mi">3460</span>
+</code></pre></div>
+
+<h3>Pipeline Completion Flow</h3>
+<p>The pipeline is <strong>not complete</strong> until both the 10 processors AND the 入庫 (ingestion) steps have finished. The worker polls every 3 seconds and only marks the job as <code>completed</code> when all ingestion steps verify OK.</p>
+<div class="codehilite"><pre><span></span><code><span class="mf">10</span><span class="w"> </span><span class="n">processors</span><span class="w"> </span><span class="n">done</span>
+<span class="w">     </span><span class="err">↓</span><span class="w">  </span><span class="p">(</span><span class="n">job</span><span class="w"> </span><span class="n">status</span><span class="w"> </span><span class="n">stays</span><span class="w"> </span><span class="s">&quot;running&quot;</span><span class="p">)</span>
+<span class="n">Algorithm</span><span class="w"> </span><span class="mf">1</span><span class="w"> </span><span class="n">Trigger</span><span class="p">:</span><span class="w"> </span><span class="n">Rule</span><span class="w"> </span><span class="mf">1</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">Vectorize</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">Phase</span><span class="w"> </span><span class="mf">1</span><span class="w"> </span><span class="n">Pack</span>
+<span class="w">     </span><span class="err">↓</span><span class="w">  </span><span class="p">(</span><span class="n">job</span><span class="w"> </span><span class="kr">run</span><span class="n">s</span><span class="w"> </span><span class="n">in</span><span class="w"> </span><span class="n">parallel</span><span class="p">)</span>
+<span class="n">Algorithm</span><span class="w"> </span><span class="mf">2</span><span class="w"> </span><span class="n">Trigger</span><span class="p">:</span><span class="w"> </span><span class="n">Face</span><span class="w"> </span><span class="n">Trace</span><span class="w"> </span><span class="err">→</span><span class="w"> </span><span class="n">TKG</span><span class="p">,</span><span class="w"> </span><span class="n">Scene</span><span class="w"> </span><span class="n">Metadata</span><span class="p">,</span><span class="w"> </span><span class="n">Identity</span><span class="w"> </span><span class="n">Agent</span><span class="p">,</span><span class="w"> </span><span class="mf">5</span><span class="n">W1H</span><span class="w"> </span><span class="n">Agent</span>
+<span class="w">     </span><span class="err">↓</span><span class="w">  </span><span class="p">(</span><span class="n">poll</span><span class="w"> </span><span class="n">checks</span><span class="w"> </span><span class="n">every</span><span class="w"> </span><span class="mf">3</span><span class="n">s</span><span class="p">)</span>
+<span class="n">Ingestion</span><span class="w"> </span><span class="n">verification</span><span class="p">:</span><span class="w"> </span><span class="n">rule1</span><span class="w"> </span><span class="err">✓</span><span class="w"> </span><span class="n">vectorize</span><span class="w"> </span><span class="err">✓</span><span class="w"> </span><span class="n">rule3</span><span class="w"> </span><span class="err">✓</span><span class="w"> </span><span class="n">face_trace</span><span class="w"> </span><span class="err">✓</span><span class="w"> </span><span class="n">tkg</span><span class="w"> </span><span class="err">✓</span><span class="w"> </span><span class="n">scene_meta</span><span class="w"> </span><span class="err">✓</span><span class="w"> </span><span class="mf">5</span><span class="n">w1h</span><span class="w"> </span><span class="err">✓</span>
+<span class="w">     </span><span class="err">↓</span>
+<span class="n">job</span><span class="w"> </span><span class="n">status</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">&quot;completed&quot;</span>
+</code></pre></div>
+
+<h3>10 Processor Stages</h3>
+<table class="table">
+<thead>
+<tr>
+<th>#</th>
+<th>Processor</th>
+<th>Depends On</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>1</td>
+<td><code>Cut</code></td>
+<td>—</td>
+<td>Scene boundary detection (PySceneDetect)</td>
+</tr>
+<tr>
+<td>2</td>
+<td><code>ASR</code></td>
+<td>Cut</td>
+<td>Automatic speech recognition (faster-whisper)</td>
+</tr>
+<tr>
+<td>3</td>
+<td><code>ASRX</code></td>
+<td>ASR</td>
+<td>Speaker diarization + ASR refinement</td>
+</tr>
+<tr>
+<td>4</td>
+<td><code>YOLO</code></td>
+<td>—</td>
+<td>Object detection (YOLOv8)</td>
+</tr>
+<tr>
+<td>5</td>
+<td><code>OCR</code></td>
+<td>—</td>
+<td>Optical character recognition</td>
+</tr>
+<tr>
+<td>6</td>
+<td><code>Face</code></td>
+<td>—</td>
+<td>Face detection + recognition (InsightFace + CoreML)</td>
+</tr>
+<tr>
+<td>7</td>
+<td><code>Pose</code></td>
+<td>—</td>
+<td>Pose estimation</td>
+</tr>
+<tr>
+<td>8</td>
+<td><code>VisualChunk</code></td>
+<td>YOLO</td>
+<td>Visual object chunking</td>
+</tr>
+<tr>
+<td>9</td>
+<td><code>Story</code></td>
+<td>ASRX + Cut + YOLO + Face</td>
+<td>Narrative scene summarization (LLM, with embedding)</td>
+</tr>
+<tr>
+<td>10</td>
+<td><code>5W1H</code></td>
+<td>Story</td>
+<td>Who/What/When/Where/Why extraction (LLM, with embedding)</td>
+</tr>
+</tbody>
+</table>
+<h3>入庫 (Post-Processing / Ingestion)</h3>
+<p>These steps run after the 10 processors and are <strong>required for pipeline completion</strong>. The worker checks all of them before marking the job as done.</p>
+<table class="table">
+<thead>
+<tr>
+<th>#</th>
+<th>Step</th>
+<th>Triggers When</th>
+<th>Verification</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>1</td>
+<td><strong>Rule 1 Sentence Chunking</strong></td>
+<td>ASR + ASRX done</td>
+<td><code>chunk</code> table has rows with <code>chunk_type = 'sentence'</code></td>
+</tr>
+<tr>
+<td>2</td>
+<td><strong>Auto-Vectorize</strong></td>
+<td>Rule 1 done</td>
+<td><code>chunk.embedding</code> IS NOT NULL for sentence chunks</td>
+</tr>
+<tr>
+<td>3</td>
+<td><strong>Phase 1 Pack</strong></td>
+<td>Rule 1 done</td>
+<td><code>release_pack.py --phase 1</code> executed</td>
+</tr>
+<tr>
+<td>4</td>
+<td><strong>Rule 3 Scene Chunking</strong></td>
+<td>All 10 processors done + Cut + ASR</td>
+<td><code>chunk</code> table has rows with <code>chunk_type = 'cut'</code></td>
+</tr>
+<tr>
+<td>5</td>
+<td><strong>Face Trace</strong></td>
+<td>All 10 processors done + Face</td>
+<td><code>face_detections.trace_id</code> IS NOT NULL</td>
+</tr>
+<tr>
+<td>6</td>
+<td><strong>Qdrant Face Sync</strong></td>
+<td>Face Trace done</td>
+<td>Qdrant face_embedding collection populated</td>
+</tr>
+<tr>
+<td>7</td>
+<td><strong>Trace Chunks</strong></td>
+<td>Face Trace done</td>
+<td><code>chunk</code> table has rows with <code>chunk_type = 'trace'</code></td>
+</tr>
+<tr>
+<td>8</td>
+<td><strong>TKG Builder</strong></td>
+<td>Face Trace done</td>
+<td><code>tkg_nodes</code> + <code>tkg_edges</code> tables have rows</td>
+</tr>
+<tr>
+<td>9</td>
+<td><strong>TMDb Face Matching</strong></td>
+<td>TMDb enabled + Face done</td>
+<td><code>face_detections.identity_id</code> IS NOT NULL</td>
+</tr>
+<tr>
+<td>10</td>
+<td><strong>Heuristic Scene Metadata</strong></td>
+<td>Face + YOLO done</td>
+<td><code>{file_uuid}.scene_meta.json</code> exists on disk</td>
+</tr>
+<tr>
+<td>11</td>
+<td><strong>Identity Agent</strong></td>
+<td>Face + ASRX done</td>
+<td><code>identities</code> with <code>source = 'identity_agent'</code></td>
+</tr>
+<tr>
+<td>12</td>
+<td><strong>5W1H Agent</strong></td>
+<td>Cut + ASR done</td>
+<td><code>chunk.summary_text</code> IS NOT NULL for cut chunks</td>
+</tr>
+<tr>
+<td>13</td>
+<td><strong>Release Pack</strong></td>
+<td>5W1H Agent done</td>
+<td><code>release_pack.py --phase 2</code> executed</td>
+</tr>
+</tbody>
+</table>
+<h3>Ingestion Status</h3>
+<p>Check real-time ingestion status for a file:</p>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/stats/ingestion-status/{file_uuid}&quot;</span>
+</code></pre></div>
+
+<p>Returns per-step <code>done</code> / <code>pending</code> status with detail counts.</p>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span><span class="s2">&quot;http://localhost:3003/api/v1/stats/ingestion-status/bd80fec9c42afb0307eb28f22c64c76a&quot;</span><span class="w"> </span><span class="p">|</span><span class="w"> </span>jq<span class="w"> </span><span class="s1">&#39;.steps[] | {name, status, detail}&#39;</span>
+</code></pre></div>
+
+<h4>Response</h4>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;bd80fec9c42afb0307eb28f22c64c76a&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;steps&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span>
+<span class="w">    </span><span class="p">{</span><span class="w"> </span><span class="nt">&quot;name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;rule1_sentence&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;pending&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;detail&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;0 sentence chunks&quot;</span><span class="w"> </span><span class="p">},</span>
+<span class="w">    </span><span class="p">{</span><span class="w"> </span><span class="nt">&quot;name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;auto_vectorize&quot;</span><span class="p">,</span><span class="w">  </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;pending&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;detail&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;0 embedded&quot;</span><span class="w"> </span><span class="p">},</span>
+<span class="w">    </span><span class="p">{</span><span class="w"> </span><span class="nt">&quot;name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;rule3_scene&quot;</span><span class="p">,</span><span class="w">     </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;pending&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;detail&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;0 scene chunks&quot;</span><span class="w"> </span><span class="p">},</span>
+<span class="w">    </span><span class="p">{</span><span class="w"> </span><span class="nt">&quot;name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;face_trace&quot;</span><span class="p">,</span><span class="w">      </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;pending&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;detail&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;0 traces&quot;</span><span class="w"> </span><span class="p">},</span>
+<span class="w">    </span><span class="p">{</span><span class="w"> </span><span class="nt">&quot;name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;trace_chunks&quot;</span><span class="p">,</span><span class="w">    </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;pending&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;detail&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;0 trace chunks&quot;</span><span class="w"> </span><span class="p">},</span>
+<span class="w">    </span><span class="p">{</span><span class="w"> </span><span class="nt">&quot;name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;tkg&quot;</span><span class="p">,</span><span class="w">             </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;pending&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;detail&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;0 nodes, 0 edges&quot;</span><span class="w"> </span><span class="p">},</span>
+<span class="w">    </span><span class="p">{</span><span class="w"> </span><span class="nt">&quot;name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;identity_match&quot;</span><span class="p">,</span><span class="w">  </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;pending&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;detail&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;0 identities&quot;</span><span class="w"> </span><span class="p">},</span>
+<span class="w">    </span><span class="p">{</span><span class="w"> </span><span class="nt">&quot;name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;scene_metadata&quot;</span><span class="p">,</span><span class="w">  </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;pending&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;detail&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">null</span><span class="w"> </span><span class="p">},</span>
+<span class="w">    </span><span class="p">{</span><span class="w"> </span><span class="nt">&quot;name&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;5w1h&quot;</span><span class="p">,</span><span class="w">            </span><span class="nt">&quot;status&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;pending&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;detail&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;0 scenes with 5W1H&quot;</span><span class="w"> </span><span class="p">}</span>
+<span class="w">  </span><span class="p">]</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<h3>Stats Endpoints</h3>
+<table class="table">
+<thead>
+<tr>
+<th>Method</th>
+<th>Endpoint</th>
+<th>Auth</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>GET</td>
+<td><code>/api/v1/stats/sftpgo</code></td>
+<td>No</td>
+<td>SFTPGo service status</td>
+</tr>
+<tr>
+<td>GET</td>
+<td><code>/api/v1/stats/ingestion-status/:file_uuid</code></td>
+<td>No</td>
+<td>Per-file ingestion checklist</td>
+</tr>
+</tbody>
+</table>
+<h3>Configuration</h3>
+<h3><code>POST /api/v1/config/cache</code></h3>
+<p><strong>Auth</strong>: Required
+<strong>Scope</strong>: system-level</p>
+<p>Toggle the Redis cache on or off.</p>
+<h4>Request Parameters</h4>
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>enabled</code></td>
+<td>boolean</td>
+<td>Yes</td>
+<td><code>true</code> to enable, <code>false</code> to disable</td>
+</tr>
+</tbody>
+</table>
+<h4>Example</h4>
+<div class="codehilite"><pre><span></span><code>curl<span class="w"> </span>-s<span class="w"> </span>-X<span class="w"> </span>POST<span class="w"> </span><span class="s2">&quot;</span><span class="nv">$API</span><span class="s2">/api/v1/config/cache&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;Content-Type: application/json&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-H<span class="w"> </span><span class="s2">&quot;X-API-Key: </span><span class="nv">$KEY</span><span class="s2">&quot;</span><span class="w"> </span><span class="se">\</span>
+<span class="w">  </span>-d<span class="w"> </span><span class="s1">&#39;{&quot;enabled&quot;: false}&#39;</span>
+</code></pre></div>
+
+<h3>Unmounted Routes</h3>
+<p>The following routes are defined in source code but are <strong>NOT</strong> currently mounted in the router:</p>
+<table class="table">
+<thead>
+<tr>
+<th>Endpoint</th>
+<th>Source file</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>/api/v1/search/persons</code></td>
+<td><code>universal_search.rs</code> (not mounted)</td>
+</tr>
+<tr>
+<td><code>/api/v1/who</code></td>
+<td><code>who.rs</code></td>
+</tr>
+<tr>
+<td><code>/api/v1/who/candidates</code></td>
+<td><code>who.rs</code></td>
+</tr>
+</tbody>
+</table>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc/12_agent.html

@@ -0,0 +1,207 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>12 Agent - Momentry API Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 24px; margin: 24px 0 12px; }
+h2 { font-size: 20px; margin: 20px 0 10px; color: #222; }
+h3 { font-size: 16px; margin: 16px 0 8px; color: #444; }
+p { line-height: 1.6; margin: 8px 0; }
+table { border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }
+th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; }
+th { background: #f0f0f0; font-weight: 600; }
+code { background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }
+pre { background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }
+pre code { background: none; padding: 0; }
+a { color: #0066cc; }
+.back { display: inline-block; margin-bottom: 20px; color: #666; }
+.back:hover { color: #333; }
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+<h1>Agent Endpoints</h1>
+<p>Agent endpoints provide AI-powered capabilities including translation, identity analysis, and 5W1H extraction.</p>
+<h2>POST /api/v1/agents/translate</h2>
+<p>Translate text between languages using Gemma4 (llama.cpp, port 8082).</p>
+<h3>Request</h3>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;text&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Hello, welcome to Momentry Core.&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;target_language&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Traditional Chinese&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;source_language&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;English&quot;</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<table class="table">
+<thead>
+<tr>
+<th>Field</th>
+<th>Type</th>
+<th>Required</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>text</code></td>
+<td>string</td>
+<td>✅</td>
+<td>Text to translate</td>
+</tr>
+<tr>
+<td><code>target_language</code></td>
+<td>string</td>
+<td>✅</td>
+<td>Target language name (e.g. "Traditional Chinese", "Japanese")</td>
+</tr>
+<tr>
+<td><code>source_language</code></td>
+<td>string</td>
+<td>❌</td>
+<td>Source language (default: "auto")</td>
+</tr>
+</tbody>
+</table>
+<h3>Response</h3>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;translated_text&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;您好，歡迎使用 Momentry Core。&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;source_language_detected&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;English&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;model_used&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;google_gemma-4-26B-A4B-it-Q5_K_M.gguf&quot;</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<h3>Supported Language Pairs (tested)</h3>
+<table class="table">
+<thead>
+<tr>
+<th>Source</th>
+<th>Target</th>
+<th>Quality</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>English</td>
+<td>Traditional Chinese</td>
+<td>✅</td>
+</tr>
+<tr>
+<td>English</td>
+<td>Japanese</td>
+<td>✅</td>
+</tr>
+<tr>
+<td>Chinese</td>
+<td>English</td>
+<td>✅</td>
+</tr>
+<tr>
+<td>English</td>
+<td>French</td>
+<td>✅</td>
+</tr>
+<tr>
+<td>Chinese</td>
+<td>Japanese</td>
+<td>✅</td>
+</tr>
+</tbody>
+</table>
+<h3>Model</h3>
+<ul>
+<li><strong>Model</strong>: Gemma4 26B (Q5_K_M)</li>
+<li><strong>Engine</strong>: llama.cpp at <code>localhost:8082</code></li>
+<li><strong>Endpoint</strong>: <code>/v1/chat/completions</code> (OpenAI-compatible)</li>
+<li><strong>Temperature</strong>: 0.1</li>
+<li><strong>Max tokens</strong>: 1024</li>
+</ul>
+<h3>Errors</h3>
+<table class="table">
+<thead>
+<tr>
+<th>Status</th>
+<th>Condition</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>500</td>
+<td>LLM unreachable or response parse failure</td>
+</tr>
+<tr>
+<td>401</td>
+<td>Missing/invalid auth</td>
+</tr>
+</tbody>
+</table>
+<hr />
+<h2>POST /api/v1/agents/5w1h/analyze</h2>
+<p>Extract 5W1H (Who, What, When, Where, Why, How) from a scene. Uses Gemma4 LLM on port 8082.</p>
+<h3>Request</h3>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;3abeee81d94597629ed8cb943f182e94&quot;</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;scene_id&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">42</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<h3>Response</h3>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;5w1h&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
+<span class="w">    </span><span class="nt">&quot;who&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;Cary Grant&quot;</span><span class="p">],</span>
+<span class="w">    </span><span class="nt">&quot;what&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;discussing plans&quot;</span><span class="p">],</span>
+<span class="w">    </span><span class="nt">&quot;when&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;1963&quot;</span><span class="p">],</span>
+<span class="w">    </span><span class="nt">&quot;where&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;Paris&quot;</span><span class="p">],</span>
+<span class="w">    </span><span class="nt">&quot;why&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;vacation&quot;</span><span class="p">],</span>
+<span class="w">    </span><span class="nt">&quot;how&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;in person&quot;</span><span class="p">]</span>
+<span class="w">  </span><span class="p">}</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<h2>POST /api/v1/agents/5w1h/batch</h2>
+<p>Batch analyze all scenes in a file for 5W1H extraction. Uses the pipeline's <code>parent_chunk_5w1h.py --mode llm</code>.</p>
+<h3>Request</h3>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;3abeee81d94597629ed8cb943f182e94&quot;</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<h2>GET /api/v1/agents/5w1h/status</h2>
+<p>Get status of the 5W1H agent pipeline for a file.</p>
+<hr />
+<h2>Embedding Model</h2>
+<table class="table">
+<thead>
+<tr>
+<th>Detail</th>
+<th>Value</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><strong>Model</strong></td>
+<td>EmbeddingGemma-300m</td>
+</tr>
+<tr>
+<td><strong>Endpoint</strong></td>
+<td><code>POST /v1/embeddings</code> on port 11436</td>
+</tr>
+<tr>
+<td><strong>Dimension</strong></td>
+<td>768</td>
+</tr>
+<tr>
+<td><strong>Used by</strong></td>
+<td><code>parent_chunk_5w1h.py --embed</code>, story, 5W1H, search</td>
+</tr>
+</tbody>
+</table>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc/index.html

@@ -0,0 +1,29 @@
+<!DOCTYPE html>
+<html lang="zh-TW">
+<head>
+<meta charset="UTF-8">
+<title>Momentry API 文件</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 900px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 28px; margin-bottom: 8px; }
+p.subtitle { color: #666; margin-bottom: 24px; }
+table { width: 100%; border-collapse: collapse; }
+tr { border-bottom: 1px solid #eee; }
+tr:last-child { border: none; }
+td { padding: 10px 0; }
+td.cn { width: 140px; font-weight: 600; color: #333; }
+td.en { color: #666; font-size: 14px; }
+a { color: #0066cc; text-decoration: none; display: block; }
+a:hover td { background: #f8f8f8; border-radius: 4px; }
+</style>
+</head>
+<body>
+<div class="container">
+<h1>Momentry API 文件</h1>
+<p class="subtitle">API 參考手冊 — 登入後可瀏覽各模組文件</p>
+<table><tr onclick="window.location='01_auth.html'" style="cursor:pointer"><td class="cn">安全認證</td><td class="en">Authentication</td></tr><tr onclick="window.location='02_health.html'" style="cursor:pointer"><td class="cn">健康檢查</td><td class="en">Health</td></tr><tr onclick="window.location='03_register.html'" style="cursor:pointer"><td class="cn">檔案註冊</td><td class="en">File Registration</td></tr><tr onclick="window.location='04_lookup.html'" style="cursor:pointer"><td class="cn">檔案屬性查詢</td><td class="en">File Lookup</td></tr><tr onclick="window.location='05_process.html'" style="cursor:pointer"><td class="cn">處理流程</td><td class="en">Processing</td></tr><tr onclick="window.location='06_search.html'" style="cursor:pointer"><td class="cn">搜尋功能</td><td class="en">Search</td></tr><tr onclick="window.location='07_identity.html'" style="cursor:pointer"><td class="cn">身份識別</td><td class="en">Identity</td></tr><tr onclick="window.location='08_identity_agent.html'" style="cursor:pointer"><td class="cn">智能身份綁定</td><td class="en">Smart Identity Binding</td></tr><tr onclick="window.location='08_media.html'" style="cursor:pointer"><td class="cn">串流與截圖</td><td class="en">Streaming & Thumbnails</td></tr><tr onclick="window.location='09_tmdb.html'" style="cursor:pointer"><td class="cn">TMDb 整合</td><td class="en">TMDb Integration</td></tr><tr onclick="window.location='10_pipeline.html'" style="cursor:pointer"><td class="cn">生產線</td><td class="en">Pipeline</td></tr><tr onclick="window.location='12_agent.html'" style="cursor:pointer"><td class="cn">智慧代理</td><td class="en">AI Agents</td></tr></table>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc/login.html

@@ -0,0 +1,46 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>Login - Momentry Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; display: flex; justify-content: center; align-items: center; height: 100vh; }
+.card { background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; width: 360px; }
+h1 { font-size: 24px; margin-bottom: 24px; text-align: center; }
+input { width: 100%; padding: 10px 12px; margin-bottom: 12px; border: 1px solid #ddd; border-radius: 6px; font-size: 14px; }
+button { width: 100%; padding: 10px; background: #0066cc; color: white; border: none; border-radius: 6px; font-size: 16px; cursor: pointer; }
+button:hover { background: #0052a3; }
+.error { color: #cc0000; font-size: 13px; margin-bottom: 12px; display: none; }
+</style>
+</head>
+<body>
+<div class="card">
+<h1>Momentry Docs</h1>
+<form id="loginForm">
+<input type="text" id="username" placeholder="Username" value="demo" required>
+<input type="password" id="password" placeholder="Password" value="demo" required>
+<div class="error" id="error">Invalid credentials</div>
+<button type="submit">Login</button>
+</form>
+</div>
+<script>
+document.getElementById('loginForm').onsubmit = async function(e) {
+    e.preventDefault();
+    const resp = await fetch('/api/v1/auth/login', {
+        method: 'POST',
+        headers: {'Content-Type': 'application/json'},
+        body: JSON.stringify({
+            username: document.getElementById('username').value,
+            password: document.getElementById('password').value
+        })
+    });
+    if (resp.ok) {
+        window.location.href = '/doc/index.html';
+    } else {
+        document.getElementById('error').style.display = 'block';
+    }
+};
+</script>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc_developer/11_error_codes.html

@@ -0,0 +1,180 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>11 Error Codes - Momentry API Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 24px; margin: 24px 0 12px; }
+h2 { font-size: 20px; margin: 20px 0 10px; color: #222; }
+h3 { font-size: 16px; margin: 16px 0 8px; color: #444; }
+p { line-height: 1.6; margin: 8px 0; }
+table { border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }
+th, td { border: 1px solid #ddd; padding: 8px 12px; text-align: left; }
+th { background: #f0f0f0; font-weight: 600; }
+code { background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }
+pre { background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }
+pre code { background: none; padding: 0; }
+a { color: #0066cc; }
+.back { display: inline-block; margin-bottom: 20px; color: #666; }
+.back:hover { color: #333; }
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+<!-- module: error_codes -->
+<!-- description: Standard API error codes -->
+<!-- depends: -->
+
+<h2>Error Response Format</h2>
+<p>All API errors follow this JSON structure:</p>
+<div class="codehilite"><pre><span></span><code><span class="p">{</span>
+<span class="w">  </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">false</span><span class="p">,</span>
+<span class="w">  </span><span class="nt">&quot;error&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
+<span class="w">    </span><span class="nt">&quot;code&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;E001_NOT_FOUND&quot;</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;message&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Resource not found&quot;</span><span class="p">,</span>
+<span class="w">    </span><span class="nt">&quot;details&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span><span class="nt">&quot;resource&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;file_uuid&quot;</span><span class="p">,</span><span class="w"> </span><span class="nt">&quot;value&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;abc&quot;</span><span class="p">}</span>
+<span class="w">  </span><span class="p">}</span>
+<span class="p">}</span>
+</code></pre></div>
+
+<h2>Error Code List</h2>
+<h3>Generic Errors (E0xx)</h3>
+<table class="table">
+<thead>
+<tr>
+<th>Code</th>
+<th>HTTP</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>E001_NOT_FOUND</code></td>
+<td>404</td>
+<td>Resource not found (file, identity, chunk)</td>
+</tr>
+<tr>
+<td><code>E002_DUPLICATE</code></td>
+<td>409</td>
+<td>Resource already exists</td>
+</tr>
+<tr>
+<td><code>E003_VALIDATION</code></td>
+<td>400</td>
+<td>Request parameter validation failed</td>
+</tr>
+<tr>
+<td><code>E004_UNAUTHORIZED</code></td>
+<td>401</td>
+<td>Invalid API key or token</td>
+</tr>
+<tr>
+<td><code>E005_INTERNAL</code></td>
+<td>500</td>
+<td>Internal server error</td>
+</tr>
+</tbody>
+</table>
+<h3>Processor Errors (E1xx)</h3>
+<table class="table">
+<thead>
+<tr>
+<th>Code</th>
+<th>HTTP</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>E101_PROCESSOR_FAIL</code></td>
+<td>500</td>
+<td>Python script execution failed</td>
+</tr>
+<tr>
+<td><code>E102_TIMEOUT</code></td>
+<td>504</td>
+<td>Processing timeout</td>
+</tr>
+<tr>
+<td><code>E103_RESUME_FAIL</code></td>
+<td>500</td>
+<td>Resume failed (checkpoint not found)</td>
+</tr>
+<tr>
+<td><code>E104_NO_VIDEO</code></td>
+<td>400</td>
+<td>Video file path not found</td>
+</tr>
+</tbody>
+</table>
+<h3>Identity Errors (E2xx)</h3>
+<table class="table">
+<thead>
+<tr>
+<th>Code</th>
+<th>HTTP</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>E201_FACE_NOT_FOUND</code></td>
+<td>404</td>
+<td>Face detection not found</td>
+</tr>
+<tr>
+<td><code>E202_MERGE_CONFLICT</code></td>
+<td>409</td>
+<td>Identity merge conflict</td>
+</tr>
+<tr>
+<td><code>E203_CANDIDATE_EMPTY</code></td>
+<td>404</td>
+<td>No candidates available for confirmation</td>
+</tr>
+</tbody>
+</table>
+<h3>TMDb Errors (E3xx)</h3>
+<table class="table">
+<thead>
+<tr>
+<th>Code</th>
+<th>HTTP</th>
+<th>Description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>E301_TMDB_NO_KEY</code></td>
+<td>400</td>
+<td><code>TMDB_API_KEY</code> environment variable not set</td>
+</tr>
+<tr>
+<td><code>E302_TMDB_UNREACHABLE</code></td>
+<td>502</td>
+<td>TMDb API unreachable or timed out</td>
+</tr>
+<tr>
+<td><code>E303_TMDB_CACHE_NOT_FOUND</code></td>
+<td>200</td>
+<td>No local TMDb cache; run prefetch first</td>
+</tr>
+<tr>
+<td><code>E304_TMDB_PROBE_FAILED</code></td>
+<td>500</td>
+<td>TMDb probe execution failed</td>
+</tr>
+<tr>
+<td><code>E305_TMDB_MOVIE_NOT_FOUND</code></td>
+<td>404</td>
+<td>No matching TMDb movie found from filename</td>
+</tr>
+</tbody>
+</table>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc_developer/index.html

@@ -0,0 +1,29 @@
+<!DOCTYPE html>
+<html lang="zh-TW">
+<head>
+<meta charset="UTF-8">
+<title>Momentry API 文件</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }
+.container { max-width: 900px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }
+h1 { font-size: 28px; margin-bottom: 8px; }
+p.subtitle { color: #666; margin-bottom: 24px; }
+table { width: 100%; border-collapse: collapse; }
+tr { border-bottom: 1px solid #eee; }
+tr:last-child { border: none; }
+td { padding: 10px 0; }
+td.cn { width: 140px; font-weight: 600; color: #333; }
+td.en { color: #666; font-size: 14px; }
+a { color: #0066cc; text-decoration: none; display: block; }
+a:hover td { background: #f8f8f8; border-radius: 4px; }
+</style>
+</head>
+<body>
+<div class="container">
+<h1>Momentry API 文件</h1>
+<p class="subtitle">API 參考手冊 — 登入後可瀏覽各模組文件</p>
+<table><tr onclick="window.location='11_error_codes.html'" style="cursor:pointer"><td class="cn">錯誤碼</td><td class="en">Error Codes</td></tr></table>
+</div>
+</body>
+</html>

deliverable_v1.1.0/html_docs/doc_developer/login.html

@@ -0,0 +1,46 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>Login - Momentry Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; display: flex; justify-content: center; align-items: center; height: 100vh; }
+.card { background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; width: 360px; }
+h1 { font-size: 24px; margin-bottom: 24px; text-align: center; }
+input { width: 100%; padding: 10px 12px; margin-bottom: 12px; border: 1px solid #ddd; border-radius: 6px; font-size: 14px; }
+button { width: 100%; padding: 10px; background: #0066cc; color: white; border: none; border-radius: 6px; font-size: 16px; cursor: pointer; }
+button:hover { background: #0052a3; }
+.error { color: #cc0000; font-size: 13px; margin-bottom: 12px; display: none; }
+</style>
+</head>
+<body>
+<div class="card">
+<h1>Momentry Docs</h1>
+<form id="loginForm">
+<input type="text" id="username" placeholder="Username" value="demo" required>
+<input type="password" id="password" placeholder="Password" value="demo" required>
+<div class="error" id="error">Invalid credentials</div>
+<button type="submit">Login</button>
+</form>
+</div>
+<script>
+document.getElementById('loginForm').onsubmit = async function(e) {
+    e.preventDefault();
+    const resp = await fetch('/api/v1/auth/login', {
+        method: 'POST',
+        headers: {'Content-Type': 'application/json'},
+        body: JSON.stringify({
+            username: document.getElementById('username').value,
+            password: document.getElementById('password').value
+        })
+    });
+    if (resp.ok) {
+        window.location.href = '/doc/index.html';
+    } else {
+        document.getElementById('error').style.display = 'block';
+    }
+};
+</script>
+</body>
+</html>

deliverable_v1.1.0/modules/01_auth.md

@@ -0,0 +1,280 @@
+<!-- module: auth -->
+<!-- description: Authentication — login, logout, JWT, session cookie, API key -->
+<!-- depends: -->
+
+## Base URL
+
+| Environment | URL | Purpose |
+|-------------|-----|---------|
+| Production | `http://localhost:3002` | Production deployment |
+| External (M5) | `https://m5api.momentry.ddns.net` | Remote access |
+
+## Variables
+
+All examples in this documentation use these environment variables:
+
+```bash
+API="http://localhost:3002"
+KEY="your-api-key-here"
+```
+
+## Authentication
+
+All endpoints under `/api/v1/*` require authentication.
+The following endpoints are public (no auth needed):
+
+- `GET /health`
+- `POST /api/v1/auth/login`
+- `POST /api/v1/auth/logout`
+
+### Three Authentication Modes
+
+The system supports three authentication methods, checked in **priority order** by the middleware:
+
+```
+Middleware priority:
+  1. Session Cookie (Portal/browser)
+  2. JWT Bearer (API clients, CLI)
+  3. API Key Header (legacy compatibility)
+  4. API Key Query Param (?api_key=)
+```
+
+| Mode | Transport | Expiry | Scope | Best for |
+|------|-----------|--------|-------|----------|
+| **Session Cookie** | `Cookie: session_id=<session_id>` | 24h | per-browser session | Portal (browser) |
+| **JWT** | `Authorization: Bearer <token>` | 1h | per-login token | API clients, CLI, scripts |
+| **API Key** | `X-API-Key: <key>` | 90d | fixed key for automation | Legacy scripts, WordPress |
+
+---
+
+### Login
+
+**Default accounts & API keys:**
+
+| Username | Password | API Key | Role |
+|----------|----------|---------|------|
+| `admin` | `admin` | — | admin |
+| `demo` | `demo` | `muser_demo_key_32chars_abcdef1234567890` | user |
+
+The demo API key is set via `MOMENTRY_DEMO_API_KEY` env var and can be used in place of JWT for marcom integrations:
+
+```bash
+# Using API key instead of JWT
+curl -s "$API/api/v1/files/scan" -H "X-API-Key: muser_demo_key_32chars_abcdef1234567890"
+```
+
+```bash
+# Login as admin
+curl -s -X POST "$API/api/v1/auth/login" \
+  -H "Content-Type: application/json" \
+  -d '{"username": "admin", "password": "admin"}'
+
+# Login as demo user
+curl -s -X POST "$API/api/v1/auth/login" \
+  -H "Content-Type: application/json" \
+  -d '{"username": "demo", "password": "demo"}'
+```
+
+#### Success Response
+
+```json
+{
+  "success": true,
+  "jwt": "eyJhbGciOiJIUzI1NiIs...",
+  "api_key": "muser_...",
+  "user": {
+    "username": "admin",
+    "role": "admin"
+  },
+  "expires_at": "2026-05-18T13:00:00Z"
+}
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `jwt` | string | JWT access token. Use as `Authorization: Bearer <jwt>`. Expires in 1 hour. |
+| `api_key` | string | Legacy API key. Use as `X-API-Key: <key>`. Good for 90 days. |
+| `user.username` | string | Username |
+| `user.role` | string | Role: `admin`, `user`, or `readonly` |
+| `expires_at` | string | ISO8601 timestamp of JWT expiration |
+
+The login endpoint also sets a `Set-Cookie` header for browser-based clients:
+
+```
+Set-Cookie: session_id=<session_id>; Path=/; HttpOnly; SameSite=Strict; Max-Age=86400
+```
+
+#### Error Response (401)
+
+```json
+{
+  "success": false,
+  "message": "Invalid username or password"
+}
+```
+
+---
+
+### Using JWT
+
+JWT is preferred for API clients (CLI scripts, WordPress). It is validated by the middleware without a database lookup (stateless).
+
+```bash
+# Login and capture JWT
+JWT=$(curl -s -X POST "$API/api/v1/auth/login" \
+  -H "Content-Type: application/json" \
+  -d '{"username":"admin","password":"admin"}' | python3 -c "import json,sys;print(json.load(sys.stdin)['jwt'])")
+
+# Use JWT for all subsequent requests
+curl -H "Authorization: Bearer $JWT" "$API/api/v1/files/scan"
+curl -H "Authorization: Bearer $JWT" "$API/api/v1/resource/tmdb"
+```
+
+JWT is short-lived (1 hour). When it expires, request a new one via login.
+
+---
+
+### Using Session Cookie (Browser)
+
+Browser-based clients (Portal) get a session cookie automatically after login. The browser sends the cookie with every request—no manual header needed.
+
+```bash
+# Login captures the session cookie from Set-Cookie header
+curl -v -X POST "$API/api/v1/auth/login" \
+  -H "Content-Type: application/json" \
+  -d '{"username":"admin","password":"admin"}' 2>&1 | grep "Set-Cookie"
+
+# Browser automatically sends: Cookie: session_id=<session_id>
+# No manual header needed for subsequent requests
+```
+
+The session cookie is HttpOnly (not accessible from JavaScript) and SameSite=Strict (protected against CSRF).
+
+---
+
+### Using Legacy API Key
+
+```bash
+curl -H "X-API-Key: $KEY" "$API/api/v1/files/scan"
+
+# Also accepted via Bearer header (non-JWT format) or query parameter:
+curl -H "Authorization: Bearer $KEY" "$API/api/v1/files/scan"
+curl "$API/api/v1/files/scan?api_key=$KEY"
+```
+
+API keys are validated via SHA256 hash lookup in the database. They are long-lived (90 days) and intended for automation.
+
+### Obtaining an API Key (CLI)
+
+```bash
+momentry api-key create "My API Key" --key-type user
+```
+
+---
+
+### Logout
+
+```bash
+# Logout using the session cookie (browser)
+curl -X POST "$API/api/v1/auth/logout" \
+  -H "Cookie: session_id=<uuid>"
+```
+
+#### What logout does
+
+| Auth mode | Effect |
+|-----------|--------|
+| **Session Cookie** | Session deleted from database. Same cookie returns 401 on subsequent requests. |
+| **JWT** | JWT remains valid until expiry. (JWT is stateless — logout adds JWT to a blacklist only if API key mode is used.) |
+| **API Key** | API key remains valid. (Legacy keys are shared across sessions — revoking would break other clients.) |
+
+#### Example: full session lifecycle
+
+```bash
+# 1. Login
+SESSION_ID=$(curl -s -D - -X POST "$API/api/v1/auth/login" \
+  -H "Content-Type: application/json" \
+  -d '{"username":"admin","password":"admin"}' | grep "Set-Cookie" | sed 's/.*session_id=\([^;]*\).*/\1/')
+
+# 2. Use session (works)
+curl -s -o /dev/null -w "HTTP %{http_code}\n" "$API/api/v1/resource/tmdb" \
+  -H "Cookie: session_id=$SESSION_ID"
+# → HTTP 200
+
+# 3. Logout
+curl -s -X POST "$API/api/v1/auth/logout" \
+  -H "Cookie: session_id=$SESSION_ID"
+# → {"success": true}
+
+# 4. Use session again (rejected)
+curl -s -o /dev/null -w "HTTP %{http_code}\n" "$API/api/v1/resource/tmdb" \
+  -H "Cookie: session_id=$SESSION_ID"
+# → HTTP 401
+```
+
+---
+
+### Authentication Flow Summary
+
+```
+Login Request
+     │
+     ▼
+┌──────────────────┐
+│  1. Check users  │ ← users table (argon2 password verify)
+│     table        │
+└──────┬───────────┘
+       │
+   ┌───┴───┐
+   │ match │
+   └───┬───┘
+       │
+       ▼
+┌──────────────────┐
+│  2. Create JWT   │ ← 1h expiry, signed with JWT_SECRET
+├──────────────────┤
+│  3. Create       │ ← 24h expiry, stored in sessions table
+│     session      │
+├──────────────────┤
+│  4. Set-Cookie   │ ← HttpOnly, SameSite=Strict, Path=/
+├──────────────────┤
+│  5. Return       │ ← JWT + api_key + user info to client
+└──────────────────┘
+```
+
+```
+Protected Request
+     │
+     ▼
+┌──────────────────────┐
+│  Middleware checks:  │
+│                      │
+│  1. Cookie session?  │ → DB lookup session → get api_key → verify
+│                      │
+│  2. JWT Bearer?      │ → verify JWT signature → decode claims
+│                      │
+│  3. X-API-Key?       │ → SHA256 hash → DB lookup → verify
+│                      │
+│  4. ?api_key=?       │ → same as #3
+│                      │
+│  5. None → 401       │
+└──────────────────────┘
+```
+
+---
+
+### Error Responses
+
+| HTTP | When |
+|------|------|
+| `401` | Missing or invalid authentication |
+| `401` | Session expired or logged out |
+| `401` | JWT expired |
+| `401` | API key revoked or inactive |
+
+---
+
+### Related
+
+- `POST /api/v1/resource/tmdb/check` — test authentication + TMDb API connectivity
+- `GET /health/detailed` — view auth status (integrations section)

deliverable_v1.1.0/modules/02_health.md

@@ -0,0 +1,147 @@
+<!-- module: health -->
+<!-- description: Health check endpoints -->
+<!-- depends: 01_auth -->
+
+## Health Check
+
+### `GET /health`
+
+**Auth**: Public
+**Scope**: system-level
+
+Returns basic server health status — used by load balancers and monitoring.
+
+#### Example
+
+```bash
+curl "$API/health" | jq '{status, version}'
+```
+
+#### Response (200)
+
+```json
+{
+  "status": "ok",
+  "version": "1.0.0",
+  "build_git_hash": "3a6c1865",
+  "build_timestamp": "2026-05-16T13:38:15Z",
+  "uptime_ms": 3015
+}
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `status` | string | `ok` or `degraded` |
+| `version` | string | Semver version |
+| `build_git_hash` | string | Git commit hash |
+| `build_timestamp` | string | Binary build time |
+| `uptime_ms` | integer | Milliseconds since server start |
+
+---
+
+### `GET /health/detailed`
+
+**Auth**: Required
+**Scope**: system-level
+
+Returns full system health including each service status, resource utilization, pipeline readiness, schema migration status, identity file sync status, and external integrations.
+
+> Requires authentication (JWT, session cookie, or API key). The basic `/health` endpoint remains public for load balancer checks.
+
+#### Example
+
+```bash
+curl "$API/health/detailed" | jq '{status, services, resources: {cpu: .resources.cpu_used_percent, memory: .resources.memory_used_percent}}'
+```
+
+#### Response (200)
+
+```json
+{
+  "status": "ok",
+  "version": "1.0.0",
+  "services": {
+    "postgres": {"status": "ok", "latency_ms": 3},
+    "redis": {"status": "ok", "latency_ms": 1},
+    "qdrant": {"status": "ok", "latency_ms": 5}
+  },
+  "resources": {
+    "cpu_used_percent": 12.5,
+    "memory_available_mb": 32768,
+    "memory_used_percent": 31.7
+  },
+  "pipeline": {
+    "scripts_ready": true,
+    "scripts_count": 345,
+    "processors": {
+      "asr": true,
+      "yolo": true,
+      "face": true,
+      "pose": true,
+      "ocr": true,
+      "cut": true,
+      "scene": true,
+      "asrx": true,
+      "visual_chunk": true
+    },
+    "models_ready": true,
+    "models_count": 42,
+    "scripts_integrity": {"matched": 332, "total": 345, "ok": false},
+    "ffmpeg": true
+  },
+  "schema": {
+    "table_exists": true,
+    "applied": [{"filename": "migrate_add_users_table.sql"}],
+    "required": [],
+    "ok": true
+  },
+  "identities": {
+    "directory_exists": true,
+    "files_count": 3481,
+    "index_ok": true,
+    "db_count": 3481,
+    "synced": true
+  },
+  "integrations": {
+    "tmdb": {
+      "api_key_configured": false,
+      "enabled": false,
+      "api_reachable": null
+    }
+  }
+}
+```
+
+#### Response Fields
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `status` | string | `ok` if all essential services healthy |
+| `services` | object | Per-service status (postgres, redis, qdrant) |
+| `services.*.status` | string | `ok`, `error`, or `degraded` |
+| `services.*.latency_ms` | int | Response time in milliseconds |
+| `resources` | object | CPU, memory usage |
+| `pipeline.scripts_ready` | boolean | Scripts directory accessible |
+| `pipeline.scripts_count` | int | Number of Python processor scripts |
+| `pipeline.processors` | object | Per-processor availability |
+| `pipeline.models_ready` | boolean | Models directory accessible |
+| `pipeline.scripts_integrity` | object | SHA256 checksum verification results |
+| `schema.ok` | boolean | All required migrations applied |
+| `identities.synced` | boolean | Identity file count matches DB count |
+| `integrations.tmdb` | object | TMDB API key config and reachability |
+
+#### Health status rules
+
+| Condition | status |
+|-----------|--------|
+| All services ok | `ok` |
+| Any service error | `degraded` |
+| Postgres or Redis error | `degraded` (server still responds) |
+
+---
+
+### Stats Endpoints
+
+| Method | Endpoint | Auth | Description |
+|--------|----------|------|-------------|
+| GET | `/api/v1/stats/sftpgo` | No | SFTPGo service status |

deliverable_v1.1.0/modules/03_register.md

@@ -0,0 +1,184 @@
+<!-- module: register -->
+<!-- description: File registration — register, scan -->
+<!-- depends: 01_auth -->
+
+## File Registration
+
+### `POST /api/v1/files/register`
+
+**Auth**: Required
+**Scope**: file-level
+
+Register a video file for processing. Returns the file's metadata and UUID.
+
+**New in v0.1.2**: Registration now **automatically triggers the processing pipeline** — no need to call `POST /api/v1/file/:file_uuid/process` separately. The system will:
+1. Register the file and run ffprobe
+2. Auto-run offline TMDb probe (reads local identity files, no API calls)
+3. Create a monitor job for the worker
+4. Worker starts all 10 processors (Cut → ASR → ASRX → YOLO → OCR → Face → Pose → VisualChunk → Story → 5W1H)
+
+If the file already exists (same content hash), returns the existing record with `already_exists: true`.
+
+#### Request Parameters
+
+| Field | Type | Required | Default | Description |
+|-------|------|----------|---------|-------------|
+| `file_path` | string | Yes | — | Path to video file on disk |
+| `pattern` | string | No | — | Regex pattern for batch register (requires `file_path` to be a directory) |
+| `user_id` | integer | No | — | User ID to associate with registration |
+| `content_hash` | string | No | — | Pre-computed SHA-256 hash (skips computation) |
+
+#### Example
+
+```bash
+# Register a single file
+curl -s -X POST "$API/api/v1/files/register" \
+  -H "Content-Type: application/json" \
+  -H "X-API-Key: $KEY" \
+  -d '{"file_path": "/path/to/video.mp4"}'
+
+# Batch register files matching a pattern in a directory
+curl -s -X POST "$API/api/v1/files/register" \
+  -H "Content-Type: application/json" \
+  -H "X-API-Key: $KEY" \
+  -d '{"file_path": "/path/to/dir", "pattern": ".*\\.mp4$"}'
+```
+
+#### Response (200)
+
+```json
+{
+  "success": true,
+  "file_uuid": "3a6c1865...",
+  "file_name": "video.mp4",
+  "file_path": "/path/to/video.mp4",
+  "file_type": "video",
+  "duration": 120.5,
+  "width": 1920,
+  "height": 1080,
+  "fps": 24.0,
+  "total_frames": 2892,
+  "already_exists": false,
+  "message": "File registered successfully"
+}
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `success` | boolean | Always true on 200 |
+| `file_uuid` | string | 32-char hex UUID of the registered file |
+| `file_name` | string | File name (auto-renamed if name conflict) |
+| `file_path` | string | Canonical path on disk |
+| `file_type` | string | `"video"`, `"audio"`, or `"unknown"` |
+| `duration` | float | Duration in seconds |
+| `width` | integer | Video width in pixels |
+| `height` | integer | Video height in pixels |
+| `fps` | float | Frames per second |
+| `total_frames` | integer | Total frame count |
+| `already_exists` | boolean | True if same content was already registered |
+| `message` | string | Human-readable status |
+
+#### Error Responses
+
+| HTTP | When |
+|------|------|
+| `401` | Missing or invalid API key |
+| `400` | Invalid request body |
+| `404` | File path does not exist |
+
+---
+
+### `GET /api/v1/files/scan`
+
+**Auth**: Required
+**Scope**: file-level
+
+Scan the filesystem directory and list all media files, showing which are registered, processing, or unregistered.
+
+#### Query Parameters
+
+| Field | Type | Required | Default | Description |
+|-------|------|----------|---------|-------------|
+| `page` | integer | No | 1 | Page number (1-based) |
+| `page_size` | integer | No | all | Items per page (alias: `limit`) |
+| `limit` | integer | No | all | Max items (alias for `page_size`) |
+| `pattern` | string | No | — | Regex filter on file name (e.g., `.*\\.mp4$`) |
+| `sort_by` | string | No | `name` | Sort field: `name`, `size`, `modified`, `status` |
+| `sort_order` | string | No | `asc` | Sort direction: `asc` or `desc` |
+
+#### Example
+
+```bash
+# Full scan
+curl -s "$API/api/v1/files/scan" -H "X-API-Key: $KEY" | jq '{total, registered_count, unregistered_count}'
+
+# Paginated (page 1, 5 per page)
+curl -s "$API/api/v1/files/scan?page=1&page_size=5" -H "X-API-Key: $KEY" | jq '{page, total_pages, files: [.files[].file_name]}'
+
+# Regex filter: only mp4 files
+curl -s "$API/api/v1/files/scan?pattern=.*\\.mp4$" -H "X-API-Key: $KEY" | jq '{filtered_total, files: [.files[].file_name]}'
+
+# Sort by file size (largest first)
+curl -s "$API/api/v1/files/scan?sort_by=size&sort_order=desc&page_size=5" -H "X-API-Key: $KEY" | jq '[.files[] | {file_name, file_size}]'
+
+# Sort by modified time (most recent first)
+curl -s "$API/api/v1/files/scan?sort_by=modified&sort_order=desc&page_size=5" -H "X-API-Key: $KEY" | jq '[.files[] | {file_name, modified_time}]'
+
+# Sort by status
+curl -s "$API/api/v1/files/scan?sort_by=status&page_size=5" -H "X-API-Key: $KEY" | jq '[.files[] | {file_name, status}]'
+```
+
+#### Response (200)
+
+```json
+{
+  "files": [
+    {
+      "file_name": "video.mp4",
+      "file_size": 12345678,
+      "is_registered": true,
+      "file_uuid": "3a6c1865...",
+      "status": "completed",
+      "registration_time": "2026-05-16T12:00:00Z",
+      "job_id": 42
+    }
+  ],
+  "total": 107,
+  "filtered_total": 80,
+  "page": 1,
+  "page_size": 20,
+  "total_pages": 4,
+  "registered_count": 26,
+  "unregistered_count": 81
+}
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `files` | array | Array of file info objects (paginated) |
+| `files[].file_name` | string | File name |
+| `files[].relative_path` | string | Path relative to scan root |
+| `files[].file_path` | string | Absolute path on disk |
+| `files[].file_size` | integer | File size in bytes |
+| `files[].modified_time` | string | Last modified timestamp (ISO8601) |
+| `files[].is_registered` | boolean | Whether file is registered in DB |
+| `files[].file_uuid` | string | 32-char hex UUID (only if registered) |
+| `files[].status` | string | `"completed"`, `"processing"`, `"registered"`, `"unregistered"`, or `null` |
+| `files[].registration_time` | string | DB registration timestamp (only if registered) |
+| `files[].job_id` | integer | Processing job ID (only if a job exists) |
+| `total` | integer | Total files found on disk (unfiltered) |
+| `filtered_total` | integer | Files matching regex filter |
+| `page` | integer | Current page number |
+| `page_size` | integer | Items per page |
+| `total_pages` | integer | Total pages |
+| `registered_count` | integer | Files registered in DB |
+| `unregistered_count` | integer | Files not yet registered |
+
+#### Notes
+
+| Feature | Behavior |
+|---------|----------|
+| **Regex** | Case-insensitive (`(?i)` prefix auto-applied). Applied to `file_name`. |
+| **Sort order** | Default (`sort_by=name`): registered files first, then alphabetically. `sort_by=status`: alphabetical by status string. |
+| **Pagination** | `page_size` and `limit` are aliases. Default: show all results. |
+| **Processing order** | `pattern` regex filter → `sort_by`/`sort_order` → `page`/`page_size` slice. |

deliverable_v1.1.0/modules/04_lookup.md

@@ -0,0 +1,138 @@
+<!-- module: lookup -->
+<!-- description: File lookup by name and unregistration -->
+<!-- depends: 01_auth, 03_register -->
+
+## File Lookup
+
+### `GET /api/v1/files/lookup`
+
+**Auth**: Required
+**Scope**: file-level
+
+Search registered files by file name. Performs a case-insensitive LIKE search on the file name column. Returns basic info about matching files.
+
+#### Query Parameters
+
+| Field | Type | Required | Description |
+|-------|------|----------|-------------|
+| `file_name` | string | Yes | File name to search for (partial matches supported) |
+
+#### Example
+
+```bash
+# Look up a specific file
+curl -s "$API/api/v1/files/lookup?file_name=video.mp4" \
+  -H "X-API-Key: $KEY"
+
+# Partial name search
+curl -s "$API/api/v1/files/lookup?file_name=charade" \
+  -H "X-API-Key: $KEY" | jq '.matches[].file_name'
+```
+
+#### Response (200)
+
+```json
+{
+  "file_name": "video.mp4",
+  "exists": true,
+  "matches": [
+    {
+      "file_uuid": "a03485a40b2df2d3",
+      "file_name": "video.mp4",
+      "file_type": "video",
+      "status": "completed"
+    }
+  ],
+  "next_name": "video (2).mp4"
+}
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `file_name` | string | Searched name |
+| `exists` | boolean | Exact name match exists |
+| `matches` | array | Array of matching registered files |
+| `matches[].file_uuid` | string | 32-char hex UUID |
+| `matches[].file_name` | string | Registered file name |
+| `matches[].file_type` | string | `"video"`, `"audio"`, or `null` |
+| `matches[].status` | string | Registration/processing status |
+| `next_name` | string | Suggested name for avoiding conflicts |
+
+---
+
+## Unregister
+
+### `POST /api/v1/unregister`
+
+**Auth**: Required
+**Scope**: file-level
+
+Delete a registered file from the system. Supports single file by UUID, or batch by directory + regex pattern.
+
+#### What gets deleted
+
+| Removed (default) | Not removed |
+|---------|-------------|
+| Database records (videos, chunks, embeddings, processor_results, pre_chunks) | The original source video file on disk |
+| Processor output JSON files (`{uuid}.*.json`) — unless `delete_output_files: false` | Temp/working directories |
+| In-memory cache entries | |
+| MongoDB cached lists | |
+
+> ⚠️ Database deletion is **irreversible**. To keep output files, set `"delete_output_files": false`.
+
+#### Request Parameters
+
+At least one mode must be specified: either `file_uuid` alone, or `file_path` + `pattern` together.
+
+| Field | Type | Required | Default | Description |
+|-------|------|----------|---------|-------------|
+| `file_uuid` | string | * | — | Single file UUID to delete |
+| `file_path` | string | * | — | Directory path (for batch delete) |
+| `pattern` | string | * | — | Regex pattern (requires `file_path`) |
+| `delete_output_files` | boolean | No | `true` | If `true`, also delete processor output JSON files (`{uuid}.*.json`). Set to `false` to keep them. |
+
+#### Example
+
+```bash
+# Delete a single file by UUID (default: also deletes output JSON files)
+curl -s -X POST "$API/api/v1/unregister" \
+  -H "Content-Type: application/json" \
+  -H "X-API-Key: $KEY" \
+  -d '{"file_uuid": "'"$FILE_UUID"'"}'
+
+# Keep output JSON files, only delete DB records
+curl -s -X POST "$API/api/v1/unregister" \
+  -H "Content-Type: application/json" \
+  -H "X-API-Key: $KEY" \
+  -d '{"file_uuid": "'"$FILE_UUID"'", "delete_output_files": false}'
+
+# Batch delete all mp4 files in a directory
+curl -s -X POST "$API/api/v1/unregister" \
+  -H "Content-Type: application/json" \
+  -H "X-API-Key: $KEY" \
+  -d '{"file_path": "/path/to/dir", "pattern": ".*\\.mp4$"}'
+```
+
+#### Response (200)
+
+```json
+{
+  "success": true,
+  "file_uuid": "a03485a40b2df2d3",
+  "message": "Video unregistered successfully"
+}
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `success` | boolean | True if deletion succeeded |
+| `file_uuid` | string | UUID of the deleted file (single mode) |
+| `message` | string | Human-readable status |
+
+#### Error Responses
+
+| HTTP | When |
+|------|------|
+| `400` | Neither `file_uuid` nor `file_path`+`pattern` provided |
+| `404` | File UUID not found |
+| `401` | Missing or invalid API key |

deliverable_v1.1.0/modules/05_process.md

@@ -0,0 +1,236 @@
+<!-- module: process -->
+<!-- description: Processing pipeline — trigger, probe, progress, jobs -->
+<!-- depends: 01_auth, 03_register -->
+
+## Processing Pipeline
+
+### `POST /api/v1/file/:file_uuid/process`
+
+**Auth**: Required
+**Scope**: file-level
+
+Trigger the processing pipeline for a registered file. Creates a monitor job that the worker picks up and processes sequentially. Returns immediately with the job info—processing runs asynchronously in the background.
+
+#### Request Parameters
+
+| Field | Type | Required | Default | Description |
+|-------|------|----------|---------|-------------|
+| `processors` | string[] | No | all | Specific processors to run: `["cut","asr","asrx","yolo","ocr","face","pose","visual_chunk","story","5w1h"]` |
+| `rules` | string[] | No | all | Rule names to apply (currently unused) |
+
+#### Example
+
+```bash
+# Run all processors
+curl -s -X POST "$API/api/v1/file/$FILE_UUID/process" \
+  -H "Content-Type: application/json" \
+  -H "X-API-Key: $KEY" -d '{}'
+
+# Run specific processors only
+curl -s -X POST "$API/api/v1/file/$FILE_UUID/process" \
+  -H "Content-Type: application/json" \
+  -H "X-API-Key: $KEY" \
+  -d '{"processors": ["asr", "face", "yolo"]}'
+```
+
+#### Response (200)
+
+```json
+{
+  "success": true,
+  "job_id": 42,
+  "file_uuid": "3a6c1865...",
+  "status": "processing",
+  "pids": [12345, 12346],
+  "message": "Processing triggered for video.mp4"
+}
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `success` | boolean | Always true on 200 |
+| `job_id` | integer | Monitor job ID (for job tracking) |
+| `file_uuid` | string | 32-char hex UUID of the file |
+| `status` | string | `"processing"` |
+| `pids` | integer[] | Process IDs of started processors |
+| `message` | string | Human-readable status |
+
+#### Error Responses
+
+| HTTP | When |
+|------|------|
+| `404` | File UUID not found |
+| `401` | Missing or invalid API key |
+
+---
+
+### `GET /api/v1/file/:file_uuid/probe`
+
+**Auth**: Required
+**Scope**: file-level
+
+Get ffprobe metadata for a registered file. Returns video/audio stream info, codec details, duration, resolution, and frame rate.
+
+#### Example
+
+```bash
+curl -s "$API/api/v1/file/$FILE_UUID/probe" -H "X-API-Key: $KEY"
+```
+
+#### Response (200)
+
+```json
+{
+  "file_uuid": "3a6c1865...",
+  "file_name": "video.mp4",
+  "file_size": 794863677,
+  "duration": 120.5,
+  "width": 1920,
+  "height": 1080,
+  "fps": 24.0,
+  "total_frames": 2892,
+  "cached": true,
+  "format": {
+    "filename": "/path/to/video.mp4",
+    "format_name": "mov,mp4,m4a,3gp",
+    "duration": "120.5",
+    "size": "12345678",
+    "bit_rate": "819200"
+  },
+  "streams": [
+    {
+      "index": 0,
+      "codec_name": "h264",
+      "codec_type": "video",
+      "width": 1920,
+      "height": 1080,
+      "r_frame_rate": "24/1",
+      "duration": "120.5"
+    }
+  ]
+}
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `file_uuid` | string | 32-char hex UUID |
+| `file_name` | string | File name |
+| `file_size` | integer | File size in bytes (from filesystem) |
+| `duration` | float | Duration in seconds |
+| `width` | integer | Video width in pixels |
+| `height` | integer | Video height in pixels |
+| `fps` | float | Frames per second |
+| `total_frames` | integer | Estimated total frames |
+| `cached` | boolean | True if result was from cached probe JSON |
+| `format` | object | Container format info (ffprobe format section) |
+| `streams` | array | Array of stream info objects |
+
+---
+
+### `GET /api/v1/progress/:file_uuid`
+
+**Auth**: Required
+**Scope**: file-level
+
+Get real-time processing progress for a file via Redis pub/sub. Includes per-processor status, current/total frames, ETA, and system resource stats.
+
+#### Pipeline Order
+
+| Order | Processor | Dependencies | Description |
+|-------|-----------|-------------|-------------|
+| 1 | `cut` | — | Scene detection |
+| 2 | `asr` | cut | Speech-to-text (per scene) |
+| 3 | `asrx` | asr | Speaker diarization |
+| 4 | `yolo` | — | Object detection |
+| 5 | `ocr` | — | Text recognition |
+| 6 | `face` | — | Face detection & embedding |
+| 7 | `pose` | — | Pose estimation |
+| 8 | `visual_chunk` | yolo | Visual scene chunks |
+| 9 | `story` | asr, asrx, cut, yolo, face | Scene summaries (template) |
+| 10 | `5w1h` | story | 5W1H analysis (Gemma4 LLM) |
+
+All processors except `story` and `5w1h` run concurrently when their dependencies are met. Story and 5W1H run sequentially after their prerequisites.
+
+#### Example
+
+```bash
+curl -s "$API/api/v1/progress/$FILE_UUID" -H "X-API-Key: $KEY" | jq '{overall_progress, processors: [.processors[] | {processor_type, status}]}'
+```
+
+#### Response (200)
+
+```json
+{
+  "file_uuid": "3a6c1865...",
+  "overall_progress": 71,
+  "cpu_percent": 45.2,
+  "gpu_percent": 30.1,
+  "memory_percent": 62.4,
+  "processors": [
+    {"processor_type": "asr", "status": "complete", "progress": 100},
+    {"processor_type": "yolo", "status": "running", "progress": 65},
+    {"processor_type": "face", "status": "pending", "progress": 0}
+  ]
+}
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `file_uuid` | string | 32-char hex UUID |
+| `overall_progress` | integer | Overall progress percentage (0–100) |
+| `processors` | array | Per-processor status list |
+| `processors[].processor_type` | string | Processor name (`asr`, `cut`, `yolo`, etc.) |
+| `processors[].status` | string | `"pending"`, `"running"`, `"complete"`, or `"failed"` |
+| `processors[].progress` | integer | Per-processor progress (0–100) |
+| `processors[].eta_seconds` | integer | Estimated seconds remaining (running processors) |
+| `processors[].current` | integer | Current frame count |
+| `processors[].total` | integer | Total frame count |
+| `cpu_percent` | float | Current CPU usage |
+| `gpu_percent` | float | Current GPU utilization |
+| `memory_percent` | float | Current memory usage |
+
+---
+
+### `GET /api/v1/jobs`
+
+**Auth**: Required
+**Scope**: system-level
+
+List all processing jobs (monitor jobs) in the system. Shows job status, which file each job is processing, and current processor info.
+
+#### Example
+
+```bash
+curl -s "$API/api/v1/jobs" -H "X-API-Key: $KEY" | jq '{count, jobs: [.jobs[] | {uuid, status}]}'
+```
+
+#### Response (200)
+
+```json
+{
+  "jobs": [
+    {
+      "id": 42,
+      "uuid": "3a6c1865...",
+      "status": "running",
+      "current_processor": "yolo",
+      "created_at": "2026-05-16T12:00:00Z",
+      "started_at": "2026-05-16T12:01:00Z"
+    }
+  ],
+  "count": 15,
+  "page": 1,
+  "page_size": 20
+}
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `jobs` | array | Array of job info objects |
+| `jobs[].id` | integer | Job ID |
+| `jobs[].uuid` | string | File UUID being processed |
+| `jobs[].status` | string | `"pending"`, `"running"`, `"completed"`, `"failed"` |
+| `jobs[].current_processor` | string | Currently active processor, or null |
+| `count` | integer | Total job count |
+| `page` | integer | Current page number |
+| `page_size` | integer | Jobs per page |

deliverable_v1.1.0/modules/06_search.md

@@ -0,0 +1,145 @@
+<!-- module: search -->
+<!-- description: Vector search, BM25, smart search, universal search, visual search -->
+<!-- depends: 01_auth -->
+
+## Search APIs
+
+### `POST /api/v1/search/smart`
+
+**Auth**: Required
+**Scope**: file-level
+
+Semantic vector search using EmbeddingGemma-300m. Generates a query embedding via EmbeddingGemma (port 11436), then searches pgvector `story_parent` and `llm_parent` chunks by cosine similarity.
+
+#### Request Parameters
+
+| Field | Type | Required | Default | Description |
+|-------|------|----------|---------|-------------|
+| `file_uuid` | string | Yes | — | File UUID to search within |
+| `query` | string | Yes | — | Search text |
+| `limit` | integer | No | 5 | Max results to return |
+| `page` | integer | No | 1 | Page number |
+| `page_size` | integer | No | 5 | Items per page |
+
+#### Example
+
+```bash
+curl -s -X POST "$API/api/v1/search/smart" \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer $JWT" \
+  -d '{"file_uuid": "'"$FILE_UUID"'", "query": "Audrey Hepburn"}'
+```
+
+#### Response (200)
+
+```json
+{
+  "query": "Audrey Hepburn",
+  "results": [
+    {
+      "parent_id": 1087822,
+      "scene_order": 1087822,
+      "start_frame": 104438,
+      "end_frame": 104538,
+      "fps": 24.0,
+      "start_time": 4351.6,
+      "end_time": 4355.76,
+      "summary": "[4352s-4356s, 4s] Cast: Audrey Hepburn. Total: 2 lines, 10 words. Speakers: Audrey Hepburn (2 lines)",
+      "similarity": 0.67
+    }
+  ],
+  "page": 1,
+  "page_size": 5,
+  "strategy": "semantic_vector_search"
+}
+```
+
+---
+
+### `POST /api/v1/search/universal`
+
+**Auth**: Required
+**Scope**: file-level
+
+Multi-type BM25 full-text search across chunks, frames, and persons. Uses PostgreSQL `tsvector`.
+
+#### Request Parameters
+
+| Field | Type | Required | Default | Description |
+|-------|------|----------|---------|-------------|
+| `query` | string | Yes | — | Search text |
+| `file_uuid` | string | No | — | Restrict to specific file |
+| `types` | string[] | No | `["chunk","frame","person"]` | Search types |
+| `limit` | integer | No | 10 | Max results per type |
+| `page` | integer | No | 1 | Page number |
+| `page_size` | integer | No | 20 | Items per page |
+
+#### Example
+
+```bash
+curl -s -X POST "$API/api/v1/search/universal" \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer $JWT" \
+  -d '{"file_uuid": "'"$FILE_UUID"'", "query": "Cary Grant"}'
+```
+
+#### Response (200)
+
+```json
+{
+  "results": [
+    {
+      "type": "chunk",
+      "chunk_id": "bd80fec92b0b6963d177a2c55bf713e2_2",
+      "chunk_type": "story_child",
+      "start_frame": 5103,
+      "end_frame": 5127,
+      "start_time": 212.64,
+      "end_time": 213.64,
+      "text": "[213s-214s] Cary Grant: \"Olá!\"",
+      "score": 0.9
+    }
+  ],
+  "total": 20,
+  "took_ms": 18
+}
+```
+
+---
+
+### `POST /api/v1/search/frames`
+
+**Auth**: Required
+**Scope**: file-level
+
+Search face detection frames by identity name or trace ID.
+
+---
+
+### `POST /api/v1/search/identity_text`
+
+**Auth**: Required
+**Scope**: file-level
+
+Search text chunks spoken by a specific identity.
+
+---
+
+### Visual Search
+
+| Method | Endpoint | Description |
+|--------|----------|-------------|
+| POST | `/api/v1/search/visual` | Search visual chunks |
+| POST | `/api/v1/search/visual/class` | Search by object class |
+| POST | `/api/v1/search/visual/density` | Search by object density |
+| POST | `/api/v1/search/visual/combination` | Search by object combination |
+| POST | `/api/v1/search/visual/stats` | Visual chunk statistics |
+
+#### Embedding Model
+
+| Detail | Value |
+|--------|-------|
+| **Model** | EmbeddingGemma-300m |
+| **Endpoint** | `POST /api/v1/embeddings` on port 11436 |
+| **Dimension** | 768 |
+| **Storage** | pgvector (`chunk.embedding` column) |

deliverable_v1.1.0/modules/07_identity.md

@@ -0,0 +1,516 @@
+<!-- module: identity -->
+<!-- description: Global identities — CRUD, detail, files, faces, bind, unbind, search -->
+<!-- depends: 01_auth -->
+
+## Global Identities
+
+### `GET /api/v1/identities`
+
+**Auth**: Required
+**Scope**: identity-level
+
+List all registered identities with pagination.
+
+#### Example
+
+```bash
+curl -s "$API/api/v1/identities?page=1&page_size=20" -H "X-API-Key: $KEY" | jq '{count, identities: [.identities[] | {name}]}'
+```
+
+---
+
+### `GET /api/v1/identity/:identity_uuid`
+
+**Auth**: Required
+**Scope**: identity-level
+
+Get detailed information for a specific identity, including metadata and TMDb references.
+
+#### Example
+
+```bash
+curl -s "$API/api/v1/identity/$IDENTITY_UUID" -H "X-API-Key: $KEY"
+```
+
+#### Response (200)
+
+```json
+{
+  "success": true,
+  "identity_uuid": "a9a901056d6b46ff92da0c3c1a57dff4",
+  "name": "Cary Grant",
+  "identity_type": "people",
+  "source": "tmdb",
+  "status": "confirmed",
+  "tmdb_id": 112,
+  "tmdb_profile": "{output}/identities/{identity_uuid}/profile.jpg",
+  "metadata": {},
+  "reference_data": {},
+  "created_at": "2026-05-16T12:00:00Z",
+  "updated_at": null
+}
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `identity_uuid` | string | Identity identifier |
+| `name` | string | Identity name |
+| `identity_type` | string | `"people"` or null |
+| `source` | string | `.json`, `auto`, `tmdb`, `user_defined`, or `merged` |
+| `status` | string | `"confirmed"`, `"pending"`, or `"inactive"` |
+| `tmdb_id` | integer | TMDb person ID (only if source = tmdb) |
+| `tmdb_profile` | string | Local profile image path (`{output}/identities/{uuid}/profile.jpg`) |
+| `metadata` | object | Metadata JSON (tmdb_character, cast_order, etc.) |
+| `created_at` | string | Creation timestamp |
+
+---
+
+### `DELETE /api/v1/identity/:identity_uuid`
+
+**Auth**: Required
+**Scope**: identity-level
+
+Delete an identity permanently.
+
+---
+
+### `PATCH /api/v1/identity/:identity_uuid`
+
+**Auth**: Required
+**Scope**: identity-level
+
+Partially update an identity. Only provided fields are modified. The `name` field is a display label and may repeat across identities. Aliases for multilingual display are stored in `metadata.aliases` (see BCP 47 reference below).
+
+#### Request (JSON, all fields optional)
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `name` | string | New display name |
+| `metadata` | object | Merged into existing metadata. Use `"aliases"` key for locale-tagged names |
+| `status` | string | `"confirmed"`, `"pending"`, or `"skipped"` |
+| `identity_type` | string | `"people"`, `"brand"`, `"object"`, `"concept"`, etc. |
+
+#### Example
+
+```bash
+curl -s -X PATCH "$API/api/v1/identity/$IDENTITY_UUID" \
+  -H "X-API-Key: $KEY" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "name": "John Smith",
+    "metadata": {
+      "aliases": [
+        {"locale": "en", "name": "John Smith"},
+        {"locale": "zh-TW", "name": "約翰·史密斯"},
+        {"locale": "ja", "name": "ジョン・スミス"}
+      ]
+    }
+  }'
+```
+
+#### Response (200)
+
+```json
+{
+  "success": true,
+  "identity_uuid": "a9a901056d6b46ff92da0c3c1a57dff4",
+  "updated_fields": ["name", "metadata"]
+}
+```
+
+#### Error Responses
+
+| HTTP | When |
+|------|------|
+| `400` | No fields to update or invalid UUID format |
+| `404` | Identity not found |
+
+---
+
+### `GET /api/v1/identity/:identity_uuid/files`
+
+**Auth**: Required
+**Scope**: identity-level
+
+Get all files where this identity appears. Returns per-file summary including face count, confidence, and appearance time range.
+
+#### Example
+
+```bash
+curl -s "$API/api/v1/identity/$IDENTITY_UUID/files" -H "X-API-Key: $KEY"
+```
+
+#### Response (200)
+
+```json
+{
+  "success": true,
+  "identity_uuid": "c3545906c82d4b66aa1d150bc02decce",
+  "total": 1,
+  "page": 1,
+  "page_size": 20,
+  "data": [
+    {
+      "file_uuid": "aeed71342a899fe4b4c57b7d41bcb692",
+      "file_name": "Charade (1963) Cary Grant & Audrey Hepburn.mp4",
+      "file_path": "/path/to/videos/Charade.mp4",
+      "status": "completed",
+      "face_count": 19695,
+      "speaker_count": 0,
+      "first_appearance": 206.76,
+      "last_appearance": 6756.68,
+      "confidence": 0.803
+    }
+  ]
+}
+```
+
+#### Response Fields
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `file_uuid` | string | File identifier (full 32-char hex) |
+| `file_name` | string | Video file name |
+| `file_path` | string | Absolute path to video file |
+| `status` | string | Video processing status (`"completed"`, `"processing"`, etc.) |
+| `face_count` | int | Total face detections for this identity in this file |
+| `speaker_count` | int | Speaker segments (reserved, always `0`) |
+| `first_appearance` | float | First appearance time in seconds (computed from `frame_number / fps`) |
+| `last_appearance` | float | Last appearance time in seconds |
+| `confidence` | float | Average detection confidence |
+
+---
+
+### `GET /api/v1/identity/:identity_uuid/faces`
+
+**Auth**: Required
+**Scope**: identity-level
+
+Get all face detection records associated with this identity.
+
+#### Example
+
+```bash
+curl -s "$API/api/v1/identity/$IDENTITY_UUID/faces?page=1&page_size=20" -H "X-API-Key: $KEY"
+```
+
+#### Response (200)
+
+```json
+{
+  "success": true,
+  "identity_uuid": "c3545906c82d4b66aa1d150bc02decce",
+  "total": 19695,
+  "page": 1,
+  "page_size": 20,
+  "data": [
+    {
+      "id": 655704,
+      "file_uuid": "aeed71342a899fe4b4c57b7d41bcb692",
+      "frame_number": 5169,
+      "timestamp_secs": 206.76,
+      "face_id": "5169_0",
+      "bbox": {
+        "x": 706,
+        "y": 469,
+        "width": 618,
+        "height": 618
+      },
+      "confidence": 0.855
+    }
+  ]
+}
+```
+
+#### Response Fields
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `id` | int64 | Face detection record ID |
+| `file_uuid` | string | File where face was detected |
+| `frame_number` | int64 | Frame number (primary coordinate) |
+| `timestamp_secs` | float | Time in seconds (computed as `frame_number / fps`) |
+| `face_id` | string | Face ID (format: `{frame_number}_{detection_index}`) |
+| `bbox` | object | Bounding box |
+| `bbox.x` | float | Left coordinate |
+| `bbox.y` | float | Top coordinate |
+| `bbox.width` | float | Width in pixels |
+| `bbox.height` | float | Height in pixels |
+| `confidence` | float | Detection confidence (0.0–1.0) |
+
+---
+
+### `GET /api/v1/identity/:identity_uuid/chunks`
+
+**Auth**: Required
+**Scope**: identity-level
+
+Get all text chunks (sentences) spoken while this identity's face was on screen. Useful for finding what a person said.
+
+#### Example
+
+```bash
+curl -s "$API/api/v1/identity/$IDENTITY_UUID/chunks" -H "X-API-Key: $KEY"
+```
+
+#### Response (200)
+
+```json
+{
+  "success": true,
+  "identity_uuid": "a9a901056d6b46ff92da0c3c1a57dff4",
+  "data": [
+    {
+      "id": 0,
+      "file_uuid": "bd80fec92b0b6963d177a2c55bf713e2",
+      "chunk_id": "bd80fec92b0b6963d177a2c55bf713e2_2",
+      "chunk_type": "sentence",
+      "start_frame": 5103,
+      "end_frame": 5127,
+      "fps": 24.0,
+      "start_time": 212.64,
+      "end_time": 213.64,
+      "text_content": "[213s-214s] Cary Grant: \"Olá!\""
+    }
+  ]
+}
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `file_uuid` | string | File identifier |
+| `chunk_id` | string | Sentence chunk identifier |
+| `start_frame` | integer | Frame-accurate start position |
+| `end_frame` | integer | Frame-accurate end position |
+| `fps` | float | Frames per second |
+| `start_time` | float | Start time in seconds |
+| `end_time` | float | End time in seconds |
+| `text_content` | string | Spoken text content |
+
+---
+
+### `POST /api/v1/identity/:identity_uuid/bind`
+
+**Auth**: Required
+**Scope**: identity-level
+
+Bind a face detection to an identity. Associates the face trace with the identity for future search and recognition.
+
+#### Request Parameters
+
+| Field | Type | Required | Description |
+|-------|------|----------|-------------|
+| `file_uuid` | string | Yes | File where face is detected |
+| `face_id` | string | Yes | Face ID (format: `{frame}_{idx}`) |
+
+#### Example
+
+```bash
+curl -s -X POST "$API/api/v1/identity/$IDENTITY_UUID/bind" \
+  -H "X-API-Key: $KEY" \
+  -H "Content-Type: application/json" \
+  -d '{"file_uuid": "'"$FILE_UUID"'", "face_id": "1_5"}'
+```
+
+---
+
+### `POST /api/v1/identity/:identity_uuid/unbind`
+
+**Auth**: Required
+**Scope**: identity-level
+
+Unbind a face detection from an identity. Removes the identity association from the face record.
+
+---
+
+### `GET /api/v1/identities/search`
+
+**Auth**: Required
+**Scope**: identity-level
+
+Search identities by name (ILIKE search). Returns matching identity records.
+
+#### Example
+
+```bash
+curl -s "$API/api/v1/identities/search?q=Cary" -H "X-API-Key: $KEY"
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `name` | string | Identity name |
+| `source` | string | Identity source |
+| `tmdb_id` | integer | TMDb ID (if source = tmdb) |
+| `file_uuid` | string | Associated file |
+
+---
+
+---
+
+### `POST /api/v1/identity/upload`
+
+**Auth**: Required
+**Scope**: identity-level
+
+Upload an identity.json file to create or update an identity. Accepts the same format as the identity.json files stored on disk.
+
+If an identity with the same `identity_uuid` already exists, it will be updated with the new values.
+
+#### Request
+
+The request body is an `IdentityFile` object:
+
+| Field | Type | Required | Description |
+|-------|------|----------|-------------|
+| `identity_uuid` | string | Yes | Identity identifier |
+| `name` | string | Yes | Identity display name |
+| `identity_type` | string | No | `"people"` or null |
+| `source` | string | No | `.json`, `auto`, `tmdb`, `user_defined`, or `merged` |
+| `status` | string | No | `"confirmed"`, `"pending"`, or `"inactive"` |
+| `tmdb_id` | integer | No | TMDb person ID |
+| `tmdb_profile` | string | No | TMDb profile image URL |
+| `metadata` | object | No | Arbitrary metadata JSON |
+| `file_bindings` | array | No | Array of `{ file_uuid, trace_ids, face_count }` (informational) |
+
+#### Example
+
+```bash
+curl -s -X POST "$API/api/v1/identity/upload" \
+  -H "X-API-Key: $KEY" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "version": 1,
+    "identity_uuid": "a9a901056d6b46ff92da0c3c1a57dff4",
+    "name": "Cary Grant",
+    "identity_type": "people",
+    "source": ".json",
+    "status": "confirmed",
+    "metadata": {},
+    "file_bindings": []
+  }'
+```
+
+#### Response (200)
+
+```json
+{
+  "success": true,
+  "identity_uuid": "a9a901056d6b46ff92da0c3c1a57dff4",
+  "name": "Cary Grant",
+  "message": "Identity uploaded successfully"
+}
+```
+
+---
+
+---
+
+### `POST /api/v1/identity/:identity_uuid/profile-image`
+
+**Auth**: Required
+**Scope**: identity-level
+
+Upload a profile image (JPEG or PNG) for an identity. The image is saved to `{output}/identities/{uuid}/profile.{ext}`.
+
+Uses `multipart/form-data` with field name `image`.
+
+#### Example
+
+```bash
+curl -s -X POST "$API/api/v1/identity/$IDENTITY_UUID/profile-image" \
+  -H "X-API-Key: $KEY" \
+  -F "image=@/path/to/photo.jpg"
+```
+
+#### Response (200)
+
+```json
+{
+  "success": true,
+  "identity_uuid": "a9a901056d6b46ff92da0c3c1a57dff4",
+  "path": "/path/to/output/identities/.../profile.jpg",
+  "message": "Profile image saved: profile.jpg"
+}
+```
+
+#### Error Responses
+
+| HTTP | When |
+|------|------|
+| `400` | Missing image field or unsupported format |
+| `404` | Identity not found |
+| `415` | Unsupported image type (use JPEG or PNG) |
+
+---
+
+### `GET /api/v1/identity/:identity_uuid/profile-image`
+
+**Auth**: Required
+**Scope**: identity-level
+
+Retrieve the profile image for an identity. Returns the raw image data with appropriate Content-Type header.
+
+```bash
+curl -s "$API/api/v1/identity/$IDENTITY_UUID/profile-image" \
+  -H "X-API-Key: $KEY" -o profile.jpg
+```
+
+| Response Header | Value |
+|----------------|-------|
+| `content-type` | `image/jpeg` or `image/png` |
+
+---
+
+## Alias System (BCP 47 Locale Tags)
+
+Identity aliases support multilingual display names. Aliases are stored in `metadata.aliases` as an array of `{locale, name}` objects.
+
+### BCP 47 Locale Tags Reference
+
+| Locale | Tag | Example |
+|--------|-----|---------|
+| English | `en` | John Smith |
+| Traditional Chinese | `zh-TW` | 約翰·史密斯 |
+| Simplified Chinese | `zh-CN` | 约翰·史密斯 |
+| Japanese | `ja` | ジョン・スミス |
+| Korean | `ko` | 존 스미스 |
+| Cantonese | `yue` | 約翰·史密夫 |
+| French | `fr` | John Smith (French spelling) |
+| Spanish | `es` | Juan Smith |
+| Arabic | `ar` | جون سميث |
+| Russian | `ru` | Джон Смит |
+| Thai | `th` | จอห์น สมิธ |
+
+BCP 47 is the IETF standard for language tags. Format: `language` (e.g. `en`, `ja`) or `language-Region` (e.g. `zh-TW`, `zh-CN`).
+
+### Frontend Display Logic
+
+```javascript
+function getDisplayName(identity, preferredLocale) {
+  const match = identity.metadata?.aliases?.find(a => a.locale === preferredLocale);
+  if (match) return match.name;
+  const lang = preferredLocale.split('-')[0];
+  const langMatch = identity.metadata?.aliases?.find(a => a.locale.startsWith(lang));
+  if (langMatch) return langMatch.name;
+  return identity.name;
+}
+```
+
+### Updating Aliases via PATCH
+
+```json
+PATCH /api/v1/identity/:identity_uuid
+{
+  "metadata": {
+    "aliases": [
+      {"locale": "en", "name": "John Smith"},
+      {"locale": "zh-TW", "name": "約翰·史密斯"}
+    ]
+  }
+}
+```
+
+---
+*Updated: 2026-05-22*
+
+

deliverable_v1.1.0/modules/08_identity_agent.md

@@ -0,0 +1,65 @@
+<!-- module: identity_agent -->
+<!-- description: Identity agent — match from photo, match from trace -->
+<!-- depends: 01_auth, 07_identity -->
+
+## Identity Agent
+
+### `POST /api/v1/agents/identity/match-from-photo`
+
+**Auth**: Required
+**Scope**: file-level
+
+Upload a face photo to match against known identities. Detects face via InsightFace, extracts 512D embedding via CoreML FaceNet, then searches pgvector for the closest identity.
+
+#### Request
+
+`multipart/form-data` with field `image` (JPEG/PNG) and optional `file_uuid`.
+
+#### Example
+
+```bash
+curl -s -X POST "$API/api/v1/agents/identity/match-from-photo" \
+  -H "Authorization: Bearer $JWT" \
+  -F "image=@/path/to/face.jpg" \
+  -F "file_uuid=$FILE_UUID"
+```
+
+#### Response (200)
+
+```json
+{
+  "success": true,
+  "matches": [
+    {
+      "identity_uuid": "a9a90105...",
+      "name": "Cary Grant",
+      "similarity": 0.87
+    }
+  ]
+}
+```
+
+---
+
+### `POST /api/v1/agents/identity/match-from-trace`
+
+**Auth**: Required
+**Scope**: file-level
+
+Match a face trace (tracked face across frames) against known identities. Samples 3 angles from the trace, generates embeddings, and searches pgvector.
+
+#### Request Parameters
+
+| Field | Type | Required | Description |
+|-------|------|----------|-------------|
+| `file_uuid` | string | Yes | File containing the trace |
+| `trace_id` | integer | Yes | Face trace ID to match |
+
+#### Example
+
+```bash
+curl -s -X POST "$API/api/v1/agents/identity/match-from-trace" \
+  -H "Authorization: Bearer $JWT" \
+  -H "Content-Type: application/json" \
+  -d '{"file_uuid": "'"$FILE_UUID"'", "trace_id": 10}'
+```

deliverable_v1.1.0/modules/08_media.md

@@ -0,0 +1,317 @@
+<!-- module: media -->
+<!-- description: Video streaming & frame extraction -->
+<!-- depends: 01_auth -->
+
+## Video Streaming & Frame Extraction
+
+All video streaming endpoints support the following common query parameters:
+
+| Field | Type | Required | Default | Description |
+|-------|------|----------|---------|-------------|
+| `mode` | string | No | `normal` | `normal` or `debug` (draws detection overlays) |
+| `audio` | string | No | `on` | `on` or `off` |
+
+---
+
+### `GET /api/v1/file/:file_uuid/video`
+
+Stream the full video file with range support for seeking.
+
+**Auth**: Required
+**Scope**: file-level
+
+#### Response
+
+- **200**: Video stream (`Content-Type` based on file extension)
+- **206**: Partial content (range request)
+- Supports `Range` header for seeking
+
+---
+
+### `GET /api/v1/file/:file_uuid/trace/:trace_id/video`
+
+Stream video with highlights for a specific face trace (follows a single person across frames with bounding box overlay).
+
+**Auth**: Required
+**Scope**: file-level
+
+---
+
+### `GET /api/v1/file/:file_uuid/trace/:trace_id/representative-face`
+
+Find the best single face to represent this trace. Uses a two-stage selection: SQL (area × confidence → top 10) then FFmpeg `blurdetect` (sharpness → pick the least blurry).
+
+**Auth**: Required
+**Scope**: file-level
+
+#### Example
+
+```bash
+curl -s "$API/api/v1/file/$FILE_UUID/trace/1939/representative-face" \
+  -H "X-API-Key: $KEY"
+```
+
+#### Response (200)
+
+```json
+{
+  "success": true,
+  "file_uuid": "aeed71342a899fe4b4c57b7d41bcb692",
+  "trace_id": 1939,
+  "face_count": 538,
+  "representative": {
+    "frame_number": 68193,
+    "timestamp_secs": 2727.72,
+    "bbox": { "x": 347, "y": 378, "width": 427, "height": 427 },
+    "confidence": 0.760,
+    "quality_score": 138516,
+    "blur_score": 9.46
+  }
+}
+```
+
+#### Response Fields
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `trace_id` | integer | Face trace ID |
+| `face_count` | integer | Total face detections in this trace |
+| `representative.frame_number` | integer | Frame number of the selected face (primary coordinate) |
+| `representative.timestamp_secs` | float | Time in seconds (derived from `frame_number / fps`) |
+| `representative.bbox` | object | Bounding box `{x, y, width, height}` |
+| `representative.confidence` | float | Detection confidence (0.0–1.0) |
+| `representative.quality_score` | float | Pre-selection score (`area × confidence`) |
+| `representative.blur_score` | float | FFmpeg blurdetect result (lower = sharper) |
+
+#### Error Responses
+
+---
+
+### `GET /api/v1/file/:file_uuid/trace/:trace_id/thumbnail`
+
+Extract the best face image for a trace as JPEG (320×320). Internally selects the face using the same two-stage algorithm as `representative-face`, then crops via FFmpeg. The result is cacheable for 24 hours.
+
+**Auth**: Required
+**Scope**: file-level
+
+#### Example
+
+```bash
+curl -s "$API/api/v1/file/$FILE_UUID/trace/1939/thumbnail" \
+  -H "X-API-Key: $KEY" -o trace_1939_face.jpg
+```
+
+#### Response
+
+- **200**: `image/jpeg` binary data (320×320 cropped face)
+- **404**: File, trace not found, or no suitable face
+- **500**: FFmpeg or database error
+
+---
+
+### `GET /api/v1/file/:file_uuid/identities/:identity_uuid_a/co-occur-with/:identity_uuid_b`
+
+Find the first frame where two identities appear together, with representative face thumbnails for both.
+
+**Auth**: Required
+**Scope**: file-level
+
+#### Example
+
+```bash
+# Audrey Hepburn & Cary Grant 第一次同框
+curl -s "$API/api/v1/file/$FILE_UUID/identities/$AUDREY_UUID/co-occur-with/$CARY_UUID" \
+  -H "X-API-Key: $KEY" | jq '{identity_a: .identity_a.name, identity_b: .identity_b.name, first_frame: .first_cooccurrence.frame_number}'
+```
+
+#### Response (200)
+
+```json
+{
+  "success": true,
+  "file_uuid": "aeed71342a899fe4b4c57b7d41bcb692",
+  "identity_a": {
+    "identity_uuid": "c3545906-c82d-4b66-aa1d-150bc02decce",
+    "name": "Audrey Hepburn",
+    "trace_id": 920
+  },
+  "identity_b": {
+    "identity_uuid": "2b0ddefe-e2a9-4533-9308-b375594604d5",
+    "name": "Cary Grant",
+    "trace_id": 919
+  },
+  "first_cooccurrence": {
+    "frame_number": 38165,
+    "timestamp_secs": 1526.60,
+    "total_cooccurrence_frames": 3136,
+    "representative_face_a": {
+      "frame_number": 38199,
+      "bbox": { "x": 122, "y": 339, "width": 176, "height": 176 },
+      "confidence": 0.832,
+      "thumbnail_url": "/api/v1/file/aeed71342.../trace/920/thumbnail"
+    },
+    "representative_face_b": {
+      "frame_number": 38291,
+      "bbox": { "x": 511, "y": 315, "width": 192, "height": 192 },
+      "confidence": 0.791,
+      "thumbnail_url": "/api/v1/file/aeed71342.../trace/919/thumbnail"
+    }
+  }
+}
+```
+
+#### Response Fields
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `identity_a.name` | string | First identity name |
+| `identity_b.name` | string | Second identity name |
+| `first_cooccurrence.frame_number` | int | First frame where both appear |
+| `first_cooccurrence.timestamp_secs` | float | Time in seconds |
+| `first_cooccurrence.total_cooccurrence_frames` | int | Total frames with both present |
+| `first_cooccurrence.representative_face_a/b` | object | Best face thumbnail data for each identity |
+
+#### Error Responses
+
+| HTTP | When |
+|------|------|
+| `404` | File or identity not found |
+| `404` | The two identities never co-occur in this file |
+| `500` | Database or FFmpeg error |
+
+### `GET /api/v1/file/:file_uuid/video/bbox`
+
+Stream video with bounding box overlay for all detected objects/faces.
+
+**Auth**: Required
+**Scope**: file-level
+
+Uses a built-in 5×7 bitmap font renderer to draw labels directly on video frames via FFmpeg `drawtext` filter.
+
+---
+
+### `GET /api/v1/file/:file_uuid/thumbnail`
+
+Extract a single frame from a video as JPEG image. Uses FFmpeg `select` filter.
+
+**Auth**: Required
+**Scope**: file-level
+
+#### Query Parameters
+
+| Field | Type | Required | Default | Description |
+|-------|------|----------|---------|-------------|
+| `frame` | integer | Yes | — | Zero-based frame number to extract |
+| `x` | integer | No | — | Crop start X (left edge). Requires `y`, `w`, `h`. |
+| `y` | integer | No | — | Crop start Y (top edge). Requires `x`, `w`, `h`. |
+| `w` | integer | No | — | Crop width in pixels. Requires `x`, `y`, `h`. |
+| `h` | integer | No | — | Crop height in pixels. Requires `x`, `y`, `w`. |
+
+All four crop params (`x`, `y`, `w`, `h`) must be provided together or omitted.
+
+#### Example
+
+```bash
+# Extract frame 1000 (full frame)
+curl -s "$API/api/v1/file/bd80fec92b0b6963d177a2c55bf713e2/thumbnail?frame=1000" \
+  -H "Authorization: Bearer $JWT" -o frame_1000.jpg
+
+# Extract and crop face region (x=320, y=240, w=160, h=160)
+curl -s "$API/api/v1/file/bd80fec92b0b6963d177a2c55bf713e2/thumbnail?frame=1000&x=320&y=240&w=160&h=160" \
+  -H "Authorization: Bearer $JWT" -o face_crop.jpg
+```
+
+#### Response
+
+- **200**: `image/jpeg` binary data
+- **404**: File not found
+- **500**: FFmpeg error (e.g., frame number exceeds video duration)
+
+### `GET /api/v1/file/:file_uuid/clip`
+
+Extract a video clip (time range) as MPEG-TS stream. Uses FFmpeg `-ss` fast seek.
+
+**Auth**: Required
+**Scope**: file-level
+
+#### Query Parameters
+
+| Field | Type | Required | Default | Description |
+|-------|------|----------|---------|-------------|
+| `start_frame` | integer | No* | — | Start frame (zero-based). **Frame-accurate** — use this for precision. |
+| `end_frame` | integer | No* | — | End frame (zero-based, inclusive). Requires `start_frame`. |
+| `start_time` | float | No* | — | Start time in seconds. Approximate (FPS-dependent). Fallback if frames not given. |
+| `end_time` | float | No* | — | End time in seconds. Approximate (FPS-dependent). Fallback if frames not given. |
+| `fps` | float | No | video FPS | Override frames-per-second for frame↔time calculation. Defaults to video's detected FPS. |
+| `mode` | string | No | `normal` | `normal` or `debug` (draws "CLIP" overlay) |
+| `audio` | string | No | `on` | `on` or `off` |
+
+Either (`start_frame`+`end_frame`) OR (`start_time`+`end_time`) must be provided.
+
+#### Example
+
+```bash
+# Clip by frame range (primary)
+curl -s "$API/api/v1/file/bd80fec92b0b6963d177a2c55bf713e2/clip?start_frame=0&end_frame=47" \
+  -H "Authorization: Bearer $JWT" -o clip.ts
+
+# Clip by time range (fallback)
+curl -s "$API/api/v1/file/bd80fec92b0b6963d177a2c55bf713e2/clip?start_time=30&end_time=45" \
+  -H "Authorization: Bearer $JWT" -o clip.ts
+```
+
+#### Response
+
+- **200**: `video/mp2t` MPEG-TS stream
+- **400**: Missing/invalid range parameters
+- **404**: File not found
+- **500**: FFmpeg error
+
+#### Technical Notes
+
+| Detail | Value |
+|--------|-------|
+| **Backend** | FFmpeg (`ffmpeg-full`) |
+| **Seek** | `-ss` before `-i` (fast keyframe seek) |
+| **Format** | MPEG-TS (`mpegts` muxer, pipe-safe) |
+| **Codec** | H.264 + AAC |
+| **Cache** | `Cache-Control: public, max-age=86400` (24h) |
+
+### Video vs Clip: Quality & Format Comparison
+
+Both endpoints support time range extraction, but serve different use cases:
+
+| Feature | `/video` | `/clip` |
+|---------|----------|---------|
+| **No params** | Streams full file (Range seek) | Returns 400 (params required) |
+| **HTTP Range** | ✅ Supported | ❌ Not supported |
+| **Encoding** | `-c copy` (zero encoding) | `-c:v libx264 -c:a aac` (re-encode) |
+| **Quality** | Original (bit-exact, zero loss) | Compressed (default CRF ≈ 23) |
+| **Format** | `video/mp4` | `video/mp2t` (MPEG-TS) |
+| **Speed** | Fast (no computation) | Slower (encoding required) |
+| **Frame control** | Time-based (`dur = (ef-sf)/fps`) | Precise (`-vframes`) |
+| **Debug mode** | ❌ | ✅ `mode=debug` overlay |
+| **Cache** | ❌ | ✅ `max-age=86400` |
+
+#### Usage Recommendation
+
+| Scenario | Use |
+|----------|-----|
+| Full video streaming / player seek | `/video` |
+| Quick preview clip (zero quality loss) | `/video?start_frame=...&end_frame=...` |
+| Debug frame verification / text overlay | `/clip?mode=debug` |
+| Precise frame count control | `/clip` |
+| CDN cacheable clip | `/clip` |
+
+---
+
+| Detail | Value |
+|--------|-------|
+| **Backend** | FFmpeg (`ffmpeg-full`) |
+| **Filter** | `select=eq(n\,FRAME)` to select frame, optional `crop=W:H:X:Y` |
+| **Output** | Single JPEG via pipe (`image2pipe`, `mjpeg` codec) |
+| **Cache** | `Cache-Control: public, max-age=86400` (24h) |
+| **Frame number** | Zero-based (`frame=0` = first frame of video) |
+
+---
+*Updated: 2026-05-19 12:49:24*

deliverable_v1.1.0/modules/09_tmdb.md

@@ -0,0 +1,109 @@
+<!-- module: tmdb -->
+<!-- description: TMDb enrichment endpoints — prefetch, probe, resource, check -->
+<!-- depends: 01_auth, 03_register -->
+
+## TMDb Enrichment
+
+> **Offline operation**: TMDb prefetch now checks local identity files first (`identities/_index.json` + `*.tmdb.json`).
+> If local files exist, no external API call is made. Internet is only needed for initial data seeding.
+
+### Overview
+
+TMDb enrichment is an optional identity enrichment step that can be run after Pipeline face detection completes. The workflow is:
+
+1. **Prefetch** (requires internet): Download movie cast data from TMDb API → cache to `{file_uuid}.tmdb.json`
+2. **Probe**: Read local cache → create identities for **all** cast members (`source='tmdb'`) + save `identity.json` + download profile image to `{OUTPUT}/identities/{uuid}/profile.jpg`
+3. **Match**: The worker automatically matches video faces against TMDb identities when `MOMENTRY_TMDB_PROBE_ENABLED=true`
+
+### `POST /api/v1/agents/tmdb/prefetch`
+
+**Auth**: Required
+**Scope**: file-level
+
+Fetch TMDb cast data for a registered file and cache it locally. This is the only step requiring internet access.
+
+#### Request Parameters
+
+| Field | Type | Required | Description |
+|-------|------|----------|-------------|
+| `file_uuid` | string | Yes | File UUID to enrich |
+
+#### Example
+
+```bash
+curl -s -X POST "$API/api/v1/agents/tmdb/prefetch" \
+  -H "Content-Type: application/json" \
+  -H "X-API-Key: $KEY" \
+  -d '{"file_uuid": "'"$FILE_UUID"'"}'
+```
+
+#### Response (200)
+
+```json
+{"success": true, "file_uuid": "...", "cache_path": "/output/...tmdb.json"}
+```
+
+### `POST /api/v1/file/:file_uuid/tmdb-probe`
+
+**Auth**: Required
+**Scope**: file-level
+
+Read local TMDb cache and create/update identities. Requires prefetch to have been run first.
+
+#### Example
+
+```bash
+curl -s -X POST "$API/api/v1/file/$FILE_UUID/tmdb-probe" \
+  -H "X-API-Key: $KEY" | jq '{identities_created, movie_title}'
+```
+
+#### Response (200 — identities created)
+
+```json
+{"success": true, "identities_created": 15, "movie_title": "Charade"}
+```
+
+#### Response (200 — no cache)
+
+```json
+{"success": false, "message": "No TMDb cache found. Run tmdb-prefetch first."}
+```
+
+### `GET /api/v1/resource/tmdb`
+
+**Auth**: Required
+**Scope**: system-level
+
+View TMDb resource status including configuration, identity counts, and cache file count.
+
+#### Example
+
+```bash
+curl -s "$API/api/v1/resource/tmdb" -H "X-API-Key: $KEY" \
+  | jq '{identities_seeded, cache_files}'
+```
+
+### `POST /api/v1/resource/tmdb/check`
+
+**Auth**: Required
+**Scope**: system-level
+
+Ping the TMDb API to verify connectivity and measure latency.
+
+#### Example
+
+```bash
+curl -s -X POST "$API/api/v1/resource/tmdb/check" \
+  -H "X-API-Key: $KEY" | jq '.status'
+```
+
+#### Response
+
+```json
+{
+  "api_key_configured": true,
+  "enabled": false,
+  "api_reachable": true,
+  "api_latency_ms": 120
+}
+```

deliverable_v1.1.0/modules/10_pipeline.md

@@ -0,0 +1,178 @@
+<!-- module: pipeline -->
+<!-- description: Pipeline processors, ingestion status, stats endpoints -->
+<!-- depends: 01_auth -->
+
+## Pipeline
+
+### Dependency Graph
+
+```mermaid
+flowchart TB
+    subgraph Processors["10 Processors"]
+        Cut[Cut] --> ASR[ASR]
+        ASR --> ASRX[ASRX]
+        ASRX --> Story[Story]
+        Cut --> Story
+        YOLO[YOLO] --> VisualChunk[VisualChunk]
+        VisualChunk --> Story
+        Face[Face] --> Story
+        Story --> FiveW1H[5W1H]
+        OCR[OCR]
+        Pose[Pose]
+    end
+
+    subgraph Ingestion["入庫 (Post-Processing)"]
+        ASR --> Rule1[Rule 1 Sentence]
+        ASRX --> Rule1
+        Rule1 --> Vectorize[Auto-Vectorize]
+        Rule1 --> Phase1[Phase 1 Pack]
+
+        Cut --> Rule3[Rule 3 Scene]
+        ASR --> Rule3
+
+        Face --> Trace[Face Trace]
+        Trace --> Qdrant[Qdrant Sync]
+        Trace --> TraceChunks[Trace Chunks]
+        Trace --> TKG[TKG Builder]
+
+        Face --> TMDbMatch[TMDb Match]
+        Face --> SceneMeta[Scene Metadata]
+        YOLO --> SceneMeta
+        Face --> IdentityAgent[Identity Agent]
+        ASRX --> IdentityAgent
+
+        Cut --> Agent5W1H[5W1H Agent]
+        ASR --> Agent5W1H
+        Agent5W1H --> Phase2[Phase 2 Pack]
+    end
+
+    style Processors fill:#1a1a2e,stroke:#e94560
+    style Ingestion fill:#16213e,stroke:#0f3460
+```
+
+### Pipeline Completion Flow
+
+The pipeline is **not complete** until both the 10 processors AND the 入庫 (ingestion) steps have finished. The worker polls every 3 seconds and only marks the job as `completed` when all ingestion steps verify OK.
+
+```
+10 processors done
+     ↓  (job status stays "running")
+Algorithm 1 Trigger: Rule 1 + Vectorize + Phase 1 Pack
+     ↓  (job runs in parallel)
+Algorithm 2 Trigger: Face Trace → TKG, Scene Metadata, Identity Agent, 5W1H Agent
+     ↓  (poll checks every 3s)
+Ingestion verification: rule1 ✓ vectorize ✓ rule3 ✓ face_trace ✓ tkg ✓ scene_meta ✓ 5w1h ✓
+     ↓
+job status = "completed"
+```
+
+### 10 Processor Stages
+
+| # | Processor | Depends On | Description |
+|---|-----------|------------|-------------|
+| 1 | `Cut` | — | Scene boundary detection (PySceneDetect) |
+| 2 | `ASR` | Cut | Automatic speech recognition (faster-whisper) |
+| 3 | `ASRX` | ASR | Speaker diarization + ASR refinement |
+| 4 | `YOLO` | — | Object detection (YOLOv8) |
+| 5 | `OCR` | — | Optical character recognition |
+| 6 | `Face` | — | Face detection + recognition (InsightFace + CoreML) |
+| 7 | `Pose` | — | Pose estimation |
+| 8 | `VisualChunk` | YOLO | Visual object chunking |
+| 9 | `Story` | ASRX + Cut + YOLO + Face | Narrative scene summarization (LLM, with embedding) |
+| 10 | `5W1H` | Story | Who/What/When/Where/Why extraction (LLM, with embedding) |
+
+### 入庫 (Post-Processing / Ingestion)
+
+These steps run after the 10 processors and are **required for pipeline completion**. The worker checks all of them before marking the job as done.
+
+| # | Step | Triggers When | Verification |
+|---|------|--------------|-------------|
+| 1 | **Rule 1 Sentence Chunking** | ASR + ASRX done | `chunk` table has rows with `chunk_type = 'sentence'` |
+| 2 | **Auto-Vectorize** | Rule 1 done | `chunk.embedding` IS NOT NULL for sentence chunks |
+| 3 | **Phase 1 Pack** | Rule 1 done | `release_pack.py --phase 1` executed |
+| 4 | **Rule 3 Scene Chunking** | All 10 processors done + Cut + ASR | `chunk` table has rows with `chunk_type = 'cut'` |
+| 5 | **Face Trace** | All 10 processors done + Face | `face_detections.trace_id` IS NOT NULL |
+| 6 | **Qdrant Face Sync** | Face Trace done | Qdrant face_embedding collection populated |
+| 7 | **Trace Chunks** | Face Trace done | `chunk` table has rows with `chunk_type = 'trace'` |
+| 8 | **TKG Builder** | Face Trace done | `tkg_nodes` + `tkg_edges` tables have rows |
+| 9 | **TMDb Face Matching** | TMDb enabled + Face done | `face_detections.identity_id` IS NOT NULL |
+| 10 | **Heuristic Scene Metadata** | Face + YOLO done | `{file_uuid}.scene_meta.json` exists on disk |
+| 11 | **Identity Agent** | Face + ASRX done | `identities` with `source = 'identity_agent'` |
+| 12 | **5W1H Agent** | Cut + ASR done | `chunk.summary_text` IS NOT NULL for cut chunks |
+| 13 | **Release Pack** | 5W1H Agent done | `release_pack.py --phase 2` executed |
+
+### Ingestion Status
+
+Check real-time ingestion status for a file:
+
+```bash
+curl "$API/api/v1/stats/ingestion-status/{file_uuid}"
+```
+
+Returns per-step `done` / `pending` status with detail counts.
+
+#### Example
+
+```bash
+curl "http://localhost:3003/api/v1/stats/ingestion-status/bd80fec9c42afb0307eb28f22c64c76a" | jq '.steps[] | {name, status, detail}'
+```
+
+#### Response
+
+```json
+{
+  "file_uuid": "bd80fec9c42afb0307eb28f22c64c76a",
+  "steps": [
+    { "name": "rule1_sentence", "status": "pending", "detail": "0 sentence chunks" },
+    { "name": "auto_vectorize",  "status": "pending", "detail": "0 embedded" },
+    { "name": "rule3_scene",     "status": "pending", "detail": "0 scene chunks" },
+    { "name": "face_trace",      "status": "pending", "detail": "0 traces" },
+    { "name": "trace_chunks",    "status": "pending", "detail": "0 trace chunks" },
+    { "name": "tkg",             "status": "pending", "detail": "0 nodes, 0 edges" },
+    { "name": "identity_match",  "status": "pending", "detail": "0 identities" },
+    { "name": "scene_metadata",  "status": "pending", "detail": null },
+    { "name": "5w1h",            "status": "pending", "detail": "0 scenes with 5W1H" }
+  ]
+}
+```
+
+### Stats Endpoints
+
+| Method | Endpoint | Auth | Description |
+|--------|----------|------|-------------|
+| GET | `/api/v1/stats/sftpgo` | No | SFTPGo service status |
+| GET | `/api/v1/stats/ingestion-status/:file_uuid` | No | Per-file ingestion checklist |
+
+### Configuration
+
+### `POST /api/v1/config/cache`
+
+**Auth**: Required
+**Scope**: system-level
+
+Toggle the Redis cache on or off.
+
+#### Request Parameters
+
+| Field | Type | Required | Description |
+|-------|------|----------|-------------|
+| `enabled` | boolean | Yes | `true` to enable, `false` to disable |
+
+#### Example
+
+```bash
+curl -s -X POST "$API/api/v1/config/cache" \
+  -H "Content-Type: application/json" \
+  -H "X-API-Key: $KEY" \
+  -d '{"enabled": false}'
+```
+
+### Unmounted Routes
+
+The following routes are defined in source code but are **NOT** currently mounted in the router:
+
+| Endpoint | Source file |
+|----------|-------------|
+| `/api/v1/search/persons` | `universal_search.rs` (not mounted) |
+| `/api/v1/who` | `who.rs` |
+| `/api/v1/who/candidates` | `who.rs` |

deliverable_v1.1.0/modules/11_error_codes.md

@@ -0,0 +1,57 @@
+<!-- module: error_codes -->
+<!-- description: Standard API error codes -->
+<!-- depends: -->
+
+## Error Response Format
+
+All API errors follow this JSON structure:
+
+```json
+{
+  "success": false,
+  "error": {
+    "code": "E001_NOT_FOUND",
+    "message": "Resource not found",
+    "details": {"resource": "file_uuid", "value": "abc"}
+  }
+}
+```
+
+## Error Code List
+
+### Generic Errors (E0xx)
+
+| Code | HTTP | Description |
+|------|------|-------------|
+| `E001_NOT_FOUND` | 404 | Resource not found (file, identity, chunk) |
+| `E002_DUPLICATE` | 409 | Resource already exists |
+| `E003_VALIDATION` | 400 | Request parameter validation failed |
+| `E004_UNAUTHORIZED` | 401 | Invalid API key or token |
+| `E005_INTERNAL` | 500 | Internal server error |
+
+### Processor Errors (E1xx)
+
+| Code | HTTP | Description |
+|------|------|-------------|
+| `E101_PROCESSOR_FAIL` | 500 | Python script execution failed |
+| `E102_TIMEOUT` | 504 | Processing timeout |
+| `E103_RESUME_FAIL` | 500 | Resume failed (checkpoint not found) |
+| `E104_NO_VIDEO` | 400 | Video file path not found |
+
+### Identity Errors (E2xx)
+
+| Code | HTTP | Description |
+|------|------|-------------|
+| `E201_FACE_NOT_FOUND` | 404 | Face detection not found |
+| `E202_MERGE_CONFLICT` | 409 | Identity merge conflict |
+| `E203_CANDIDATE_EMPTY` | 404 | No candidates available for confirmation |
+
+### TMDb Errors (E3xx)
+
+| Code | HTTP | Description |
+|------|------|-------------|
+| `E301_TMDB_NO_KEY` | 400 | `TMDB_API_KEY` environment variable not set |
+| `E302_TMDB_UNREACHABLE` | 502 | TMDb API unreachable or timed out |
+| `E303_TMDB_CACHE_NOT_FOUND` | 200 | No local TMDb cache; run prefetch first |
+| `E304_TMDB_PROBE_FAILED` | 500 | TMDb probe execution failed |
+| `E305_TMDB_MOVIE_NOT_FOUND` | 404 | No matching TMDb movie found from filename |

deliverable_v1.1.0/modules/12_agent.md

@@ -0,0 +1,118 @@
+# Agent Endpoints
+
+Agent endpoints provide AI-powered capabilities including translation, identity analysis, and 5W1H extraction.
+
+## POST /api/v1/agents/translate
+
+Translate text between languages using Gemma4 (llama.cpp, port 8082).
+
+### Request
+
+```json
+{
+  "text": "Hello, welcome to Momentry Core.",
+  "target_language": "Traditional Chinese",
+  "source_language": "English"
+}
+```
+
+| Field | Type | Required | Description |
+|-------|------|----------|-------------|
+| `text` | string | ✅ | Text to translate |
+| `target_language` | string | ✅ | Target language name (e.g. "Traditional Chinese", "Japanese") |
+| `source_language` | string | ❌ | Source language (default: "auto") |
+
+### Response
+
+```json
+{
+  "success": true,
+  "translated_text": "您好，歡迎使用 Momentry Core。",
+  "source_language_detected": "English",
+  "model_used": "google_gemma-4-26B-A4B-it-Q5_K_M.gguf"
+}
+```
+
+### Supported Language Pairs (tested)
+
+| Source | Target | Quality |
+|--------|--------|---------|
+| English | Traditional Chinese | ✅ |
+| English | Japanese | ✅ |
+| Chinese | English | ✅ |
+| English | French | ✅ |
+| Chinese | Japanese | ✅ |
+
+### Model
+
+- **Model**: Gemma4 26B (Q5_K_M)
+- **Engine**: llama.cpp at `localhost:8082`
+- **Endpoint**: `/v1/chat/completions` (OpenAI-compatible)
+- **Temperature**: 0.1
+- **Max tokens**: 1024
+
+### Errors
+
+| Status | Condition |
+|--------|-----------|
+| 500 | LLM unreachable or response parse failure |
+| 401 | Missing/invalid auth |
+
+---
+
+## POST /api/v1/agents/5w1h/analyze
+
+Extract 5W1H (Who, What, When, Where, Why, How) from a scene. Uses Gemma4 LLM on port 8082.
+
+### Request
+
+```json
+{
+  "file_uuid": "3abeee81d94597629ed8cb943f182e94",
+  "scene_id": 42
+}
+```
+
+### Response
+
+```json
+{
+  "success": true,
+  "5w1h": {
+    "who": ["Cary Grant"],
+    "what": ["discussing plans"],
+    "when": ["1963"],
+    "where": ["Paris"],
+    "why": ["vacation"],
+    "how": ["in person"]
+  }
+}
+```
+
+## POST /api/v1/agents/5w1h/batch
+
+Batch analyze all scenes in a file for 5W1H extraction. Uses the pipeline's `parent_chunk_5w1h.py --mode llm`.
+
+### Request
+
+```json
+{
+  "file_uuid": "3abeee81d94597629ed8cb943f182e94"
+}
+```
+
+## GET /api/v1/agents/5w1h/status
+
+Get status of the 5W1H agent pipeline for a file.
+
+---
+
+## Embedding Model
+
+| Detail | Value |
+|--------|-------|
+| **Model** | EmbeddingGemma-300m |
+| **Endpoint** | `POST /v1/embeddings` on port 11436 |
+| **Dimension** | 768 |
+| **Used by** | `parent_chunk_5w1h.py --embed`, story, 5W1H, search |
+

deliverable_v1.1.0/modules/_template.md

@@ -0,0 +1,63 @@
+# {Module Name} — API Workspace Module
+
+> Use this template when adding or editing API endpoint documentation modules.
+
+## Module Metadata
+
+Every module MUST start with:
+
+```markdown
+<!-- module: <short_name> -->
+<!-- description: One-line description of what this module covers -->
+<!-- depends: <comma-separated list of dependency module names> -->
+```
+
+## Endpoint Template
+
+Each endpoint MUST use this structure:
+
+### `METHOD /path/to/endpoint`
+
+**Auth**: Required / Optional / Public
+
+**Scope**: file-level / identity-level / system-level
+
+#### Request Parameters
+
+| Field | Type | Required | Default | Description |
+|-------|------|----------|---------|-------------|
+| `param1` | string | Yes | — | Description |
+
+#### Example
+
+```bash
+# brief description of what this example demonstrates
+curl -s -X METHOD "$API/path" \
+  -H "X-API-Key: $KEY" \
+  -H "Content-Type: application/json" \
+  -d '{"param1": "value"}'
+```
+
+#### Response (200)
+
+```json
+{ "success": true }
+```
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `success` | boolean | Always true on 200 |
+
+#### Error Codes
+
+| Code | HTTP | When |
+|------|------|------|
+| E0xx | 4xx | Description |
+
+## Rules
+
+1. Each module file covers ONE topic group (e.g., `09_tmdb.md` = all TMDb endpoints)
+2. Use `$API` and `$KEY` in all curl examples
+3. Use `$FILE_UUID`, `$IDENTITY_UUID` variables for UUID examples
+4. Module filename = `NN_topic.md` (NN = execution order, 01-99)
+5. `depends` metadata = which modules must be assembled before this one

deliverable_v1.1.0/scripts/build_docs.py

@@ -0,0 +1,225 @@
+#!/opt/homebrew/bin/python3.11
+"""Build HTML documentation from module source files."""
+import os, markdown, re, glob, shutil
+
+MODULES_DIR = os.path.join(os.path.dirname(__file__), "..", "docs_v1.0", "API_WORKSPACE", "modules")
+DOC_DIR = os.path.join(os.path.dirname(__file__), "..", "docs_v1.0", "doc")
+DOC_DEV_DIR = os.path.join(os.path.dirname(__file__), "..", "docs_v1.0", "doc_developer")
+
+# User-facing modules (no developer content)
+USER_MODULES = {
+    "01_auth", "02_health", "03_register", "04_lookup", "05_process",
+    "06_search", "07_identity", "08_identity_agent", "08_media",
+    "09_tmdb", "10_pipeline", "12_agent",
+}
+
+
+def md_to_html(md_text: str) -> str:
+    """Convert Markdown to HTML."""
+    html = markdown.markdown(md_text, extensions=['fenced_code', 'tables', 'codehilite'])
+    # Wrap tables
+    html = re.sub(r'<table>', '<table class="table">', html)
+    return html
+
+def build_index(files, dev=False):
+    """Build index.html."""
+    links = []
+    for fname in sorted(files):
+        name = os.path.splitext(fname)[0]
+        label = MODULE_LABELS.get(name, name.replace("_", " ").title())
+        if "｜" in label:
+            cn, en = label.split("｜", 1)
+        else:
+            cn, en = label, ""
+        html_name = fname.replace(".md", ".html")
+        links.append(f'<tr onclick="window.location=\'{html_name}\'" style="cursor:pointer"><td class="cn">{cn}</td><td class="en">{en}</td></tr>')
+    
+    title = "Momentry API 開發者文件" if dev else "Momentry API 文件"
+    subtitle = "開發者專用" if dev else "API 參考手冊 — 登入後可瀏覽各模組文件"
+    
+    return f"""<!DOCTYPE html>
+<html lang="zh-TW">
+<head>
+<meta charset="UTF-8">
+<title>{title}</title>
+<style>
+* {{ margin: 0; padding: 0; box-sizing: border-box; }}
+body {{ font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }}
+.container {{ max-width: 900px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }}
+h1 {{ font-size: 28px; margin-bottom: 8px; }}
+p.subtitle {{ color: #666; margin-bottom: 24px; }}
+table {{ width: 100%; border-collapse: collapse; }}
+tr {{ border-bottom: 1px solid #eee; }}
+tr:last-child {{ border: none; }}
+td {{ padding: 10px 0; }}
+td.cn {{ width: 140px; font-weight: 600; color: #333; }}
+td.en {{ color: #666; font-size: 14px; }}
+a {{ color: #0066cc; text-decoration: none; display: block; }}
+a:hover td {{ background: #f8f8f8; border-radius: 4px; }}
+</style>
+</head>
+<body>
+<div class="container">
+<h1>{title}</h1>
+<p class="subtitle">{subtitle}</p>
+<table>{"".join(links)}</table>
+</div>
+</body>
+</html>"""
+
+MODULE_LABELS = {
+    "01_auth": "安全認證｜Authentication",
+    "02_health": "健康檢查｜Health",
+    "03_register": "檔案註冊｜File Registration",
+    "04_lookup": "檔案屬性查詢｜File Lookup",
+    "05_process": "處理流程｜Processing",
+    "06_search": "搜尋功能｜Search",
+    "07_identity": "身份識別｜Identity",
+    "08_identity_agent": "智能身份綁定｜Smart Identity Binding",
+    "08_media": "串流與截圖｜Streaming & Thumbnails",
+    "09_tmdb": "TMDb 整合｜TMDb Integration",
+    "10_pipeline": "生產線｜Pipeline",
+    "11_error_codes": "錯誤碼｜Error Codes",
+    "12_agent": "智慧代理｜AI Agents",
+}
+
+def build_html(md_text: str, title: str) -> str:
+    """Wrap MD content in HTML page."""
+    content = md_to_html(md_text)
+    return f"""<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>{title} - Momentry API Docs</title>
+<style>
+* {{ margin: 0; padding: 0; box-sizing: border-box; }}
+body {{ font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; color: #333; padding: 40px; }}
+.container {{ max-width: 960px; margin: 0 auto; background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; }}
+h1 {{ font-size: 24px; margin: 24px 0 12px; }}
+h2 {{ font-size: 20px; margin: 20px 0 10px; color: #222; }}
+h3 {{ font-size: 16px; margin: 16px 0 8px; color: #444; }}
+p {{ line-height: 1.6; margin: 8px 0; }}
+table {{ border-collapse: collapse; width: 100%; margin: 12px 0; font-size: 14px; }}
+th, td {{ border: 1px solid #ddd; padding: 8px 12px; text-align: left; }}
+th {{ background: #f0f0f0; font-weight: 600; }}
+code {{ background: #f0f0f0; padding: 2px 6px; border-radius: 3px; font-size: 13px; }}
+pre {{ background: #f8f8f8; border: 1px solid #ddd; border-radius: 6px; padding: 12px; overflow-x: auto; margin: 12px 0; }}
+pre code {{ background: none; padding: 0; }}
+a {{ color: #0066cc; }}
+.back {{ display: inline-block; margin-bottom: 20px; color: #666; }}
+.back:hover {{ color: #333; }}
+</style>
+</head>
+<body>
+<div class="container">
+<a class="back" href="index.html">&larr; Back to index</a>
+{content}
+</div>
+</body>
+</html>"""
+
+def login_page() -> str:
+    return """<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="UTF-8">
+<title>Login - Momentry Docs</title>
+<style>
+* { margin: 0; padding: 0; box-sizing: border-box; }
+body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #f5f5f5; display: flex; justify-content: center; align-items: center; height: 100vh; }
+.card { background: white; border-radius: 12px; box-shadow: 0 2px 12px rgba(0,0,0,0.08); padding: 40px; width: 360px; }
+h1 { font-size: 24px; margin-bottom: 24px; text-align: center; }
+input { width: 100%; padding: 10px 12px; margin-bottom: 12px; border: 1px solid #ddd; border-radius: 6px; font-size: 14px; }
+button { width: 100%; padding: 10px; background: #0066cc; color: white; border: none; border-radius: 6px; font-size: 16px; cursor: pointer; }
+button:hover { background: #0052a3; }
+.error { color: #cc0000; font-size: 13px; margin-bottom: 12px; display: none; }
+</style>
+</head>
+<body>
+<div class="card">
+<h1>Momentry Docs</h1>
+<form id="loginForm">
+<input type="text" id="username" placeholder="Username" value="demo" required>
+<input type="password" id="password" placeholder="Password" value="demo" required>
+<div class="error" id="error">Invalid credentials</div>
+<button type="submit">Login</button>
+</form>
+</div>
+<script>
+document.getElementById('loginForm').onsubmit = async function(e) {
+    e.preventDefault();
+    const resp = await fetch('/api/v1/auth/login', {
+        method: 'POST',
+        headers: {'Content-Type': 'application/json'},
+        body: JSON.stringify({
+            username: document.getElementById('username').value,
+            password: document.getElementById('password').value
+        })
+    });
+    if (resp.ok) {
+        window.location.href = '/doc/index.html';
+    } else {
+        document.getElementById('error').style.display = 'block';
+    }
+};
+</script>
+</body>
+</html>"""
+
+def main():
+    # Clean and recreate doc dirs
+    for d in [DOC_DIR, DOC_DEV_DIR]:
+        if os.path.exists(d):
+            shutil.rmtree(d)
+        os.makedirs(d)
+    
+    md_files = sorted(glob.glob(os.path.join(MODULES_DIR, "*.md")))
+    if not md_files:
+        print(f"No MD files found in {MODULES_DIR}")
+        return
+    
+    user_html = []
+    dev_html = []
+    for md_path in md_files:
+        with open(md_path) as f:
+            md_text = f.read()
+        fname = os.path.basename(md_path)
+        stem = os.path.splitext(fname)[0]
+        
+        # Skip template
+        if stem == "_template":
+            continue
+            
+        # Skip error codes (developer-only)
+        if stem == "11_error_codes":
+            dev_only = True
+        else:
+            dev_only = stem not in USER_MODULES
+        
+        title = stem.replace("_", " ").title()
+        html = build_html(md_text, title)
+        
+        if dev_only:
+            out_path = os.path.join(DOC_DEV_DIR, fname.replace(".md", ".html"))
+            with open(out_path, "w") as f:
+                f.write(html)
+            dev_html.append(fname)
+            print(f"  [dev] {fname}")
+        else:
+            out_path = os.path.join(DOC_DIR, fname.replace(".md", ".html"))
+            with open(out_path, "w") as f:
+                f.write(html)
+            user_html.append(fname)
+            print(f"  [doc] {fname}")
+    
+    # Build indexes + login page
+    for d, files, label in [(DOC_DIR, user_html, "User"), (DOC_DEV_DIR, dev_html, "Dev")]:
+        index = build_index(files)
+        with open(os.path.join(d, "index.html"), "w") as f:
+            f.write(index)
+        with open(os.path.join(d, "login.html"), "w") as f:
+            f.write(login_page())
+        print(f"  {label}: {len(files)} pages -> {d}")
+
+if __name__ == "__main__":
+    main()

deliverable_v1.1.0/scripts/sync_dev_to_public.sh

@@ -0,0 +1,148 @@
+#!/bin/bash
+# sync_dev_to_public.sh — 比對 dev/public schema，同步 pipeline 資料
+# Usage: ./sync_dev_to_public.sh [check|sync] [file_uuid]
+
+PSQL="/opt/homebrew/opt/libpq/bin/psql"
+
+set -euo pipefail
+
+SCHEMA="${MOMENTRY_DB_SCHEMA:-dev}"
+DB_URL="${DATABASE_URL:-postgres://accusys@localhost:5432/momentry}"
+MODE="${1:-check}"
+FILE_UUID="${2:-}"
+
+TABLES=("videos" "chunk" "face_detections" "processor_results" "monitor_jobs"
+        "identities" "identity_bindings" "tkg_nodes" "tkg_edges")
+
+TARGET="public"
+
+if [ -z "$FILE_UUID" ]; then
+    echo "Usage: $0 [check|sync] <file_uuid>"
+    echo ""
+    echo "Examples:"
+    echo "  $0 check bd80fec92b0b6963d177a2c55bf713e2"
+    echo "  $0 sync  bd80fec92b0b6963d177a2c55bf713e2"
+    exit 1
+fi
+
+echo "=== Schema Sync: $SCHEMA → $TARGET ==="
+echo "File UUID: $FILE_UUID"
+echo "Mode: $MODE"
+echo ""
+
+check_table() {
+    local table=$1
+    local col=$2
+    local src_count dev_count pub_count
+
+    dev_count=$($PSQL -At "$DB_URL" -c "SELECT COUNT(*) FROM ${SCHEMA}.${table} WHERE ${col} = '${FILE_UUID}';" 2>/dev/null || echo "ERROR")
+    pub_count=$($PSQL -At "$DB_URL" -c "SELECT COUNT(*) FROM ${TARGET}.${table} WHERE ${col} = '${FILE_UUID}';" 2>/dev/null || echo "ERROR")
+
+    if [ "$dev_count" = "ERROR" ] || [ "$pub_count" = "ERROR" ]; then
+        echo "  ⚠️  $table — query error (table may not exist in $TARGET)"
+        return 1
+    fi
+
+    if [ "$dev_count" -eq "$pub_count" ]; then
+        echo "  ✅ $table — $dev_count rows (match)"
+        return 0
+    else
+        echo "  ❌ $table — dev=$dev_count  pub=$pub_count (MISMATCH)"
+        return 1
+    fi
+}
+
+sync_table() {
+    local table=$1
+    local col=$2
+    local src_count dev_count pub_count
+
+    dev_count=$($PSQL -At "$DB_URL" -c "SELECT COUNT(*) FROM ${SCHEMA}.${table} WHERE ${col} = '${FILE_UUID}';" 2>/dev/null || echo "0")
+    pub_count=$($PSQL -At "$DB_URL" -c "SELECT COUNT(*) FROM ${TARGET}.${table} WHERE ${col} = '${FILE_UUID}';" 2>/dev/null || echo "0")
+
+    if [ "$dev_count" = "0" ]; then
+        echo "  ⏭️  $table — dev has 0 rows, skipping"
+        return
+    fi
+
+    if [ "$dev_count" -eq "$pub_count" ]; then
+        echo "  ✅ $table — already synced ($dev_count rows)"
+        return
+    fi
+
+    echo "  🔄 Syncing $table: dev=$dev_count → pub=$pub_count ..."
+
+    # Delete existing public rows, insert from dev
+    $PSQL "$DB_URL" -q -c "DELETE FROM ${TARGET}.${table} WHERE ${col} = '${FILE_UUID}';" 2>/dev/null || true
+
+    # Get columns list (excluding id for SERIAL)
+    COLS=$($PSQL -At "$DB_URL" -c "
+        SELECT string_agg(column_name, ', ' ORDER BY ordinal_position)
+        FROM information_schema.columns
+        WHERE table_schema='${SCHEMA}' AND table_name='${table}'
+          AND column_name != 'id'
+          AND is_updatable='YES';
+    ")
+
+    $PSQL "$DB_URL" -q -c "
+        INSERT INTO ${TARGET}.${table} (${COLS})
+        SELECT ${COLS}
+        FROM ${SCHEMA}.${table}
+        WHERE ${col} = '${FILE_UUID}';
+    " 2>/dev/null && echo "  ✅ $table synced" || echo "  ❌ $table sync FAILED"
+}
+
+echo "=== Checking Tables ==="
+echo ""
+MISMATCH=0
+for table in "${TABLES[@]}"; do
+    # Determine the UUID column name for each table
+    case "$table" in
+        videos) col="file_uuid" ;;
+        chunk) col="file_uuid" ;;
+        face_detections) col="file_uuid" ;;
+        processor_results) col="file_uuid" ;;
+        monitor_jobs) col="uuid" ;;
+        identities) col="uuid" ;;  # identities.uuid is UUID type
+        identity_bindings) col="uuid" ;;
+        tkg_nodes) col="file_uuid" ;;
+        tkg_edges) col="file_uuid" ;;
+        *) col="file_uuid" ;;
+    esac
+
+    if ! check_table "$table" "$col"; then
+        MISMATCH=$((MISMATCH + 1))
+    fi
+done
+
+echo ""
+if [ "$MISMATCH" -eq 0 ]; then
+    echo "✅ All tables in sync"
+    exit 0
+fi
+
+if [ "$MODE" != "sync" ]; then
+    echo "⚠️  $MISMATCH table(s) have mismatches. Run '$0 sync $FILE_UUID' to fix."
+    exit 1
+fi
+
+echo "=== Syncing Tables ==="
+echo ""
+for table in "${TABLES[@]}"; do
+    case "$table" in
+        videos) col="file_uuid" ;;
+        chunk) col="file_uuid" ;;
+        face_detections) col="file_uuid" ;;
+        processor_results) col="file_uuid" ;;
+        monitor_jobs) col="uuid" ;;
+        identities) col="uuid" ;;
+        identity_bindings) col="uuid" ;;
+        tkg_nodes) col="file_uuid" ;;
+        tkg_edges) col="file_uuid" ;;
+        *) col="file_uuid" ;;
+    esac
+    sync_table "$table" "$col"
+done
+
+echo ""
+echo "✅ Sync complete"

deliverable_v1.1.0/scripts/update_qdrant_uuid.py

@@ -0,0 +1,174 @@
+#!/usr/bin/env python3
+"""批量更新 Qdrant collection 中的 file_uuid (舊→新)"""
+
+import json
+import subprocess
+import sys
+
+QDRANT_URL = "http://localhost:6333"
+
+# UUID mapping: 舊 → 新
+UUID_MAP = {
+    "aeed71342a899fe4b4c57b7d41bcb692": [
+        "bd80fec92b0b6963d177a2c55bf713e2",
+    ],
+}
+
+# Collections to process
+COLLECTIONS = [
+    "momentry_dev_v1",
+    "momentry_dev_stories",
+    "momentry_dev_voice",
+    "momentry_dev_rule1_v2",
+    "momentry_dev_faces",
+    "sentence_story",
+    "sentence_summary",
+]
+
+
+def qdrant_get(path: str) -> dict:
+    res = subprocess.run(
+        ["curl", "-s", "-X", "GET", f"{QDRANT_URL}{path}"],
+        capture_output=True, text=True
+    )
+    return json.loads(res.stdout) if res.stdout.strip() else {}
+
+
+def qdrant_post(path: str, body: dict) -> dict:
+    tmp = "/tmp/qdrant_post.json"
+    with open(tmp, "w") as f:
+        json.dump(body, f)
+    res = subprocess.run(
+        ["curl", "-s", "-X", "POST", f"{QDRANT_URL}{path}",
+         "-H", "Content-Type: application/json", "-d", f"@{tmp}"],
+        capture_output=True, text=True
+    )
+    return json.loads(res.stdout) if res.stdout.strip() else {}
+
+
+def qdrant_put(path: str, body: dict) -> dict:
+    tmp = "/tmp/qdrant_update.json"
+    with open(tmp, "w") as f:
+        json.dump(body, f)
+    res = subprocess.run(
+        ["curl", "-s", "-X", "PUT", f"{QDRANT_URL}{path}",
+         "-H", "Content-Type: application/json", "-d", f"@{tmp}"],
+        capture_output=True, text=True
+    )
+    return json.loads(res.stdout) if res.stdout.strip() else {}
+
+
+def scroll_all(collection: str, filter_old: dict) -> list:
+    """Scroll all matching points from a collection"""
+    points = []
+    offset = None
+    while True:
+        body = {
+            "limit": 1000,
+            "with_payload": True,
+            "with_vector": True,
+            "filter": filter_old,
+        }
+        if offset:
+            body["offset"] = offset
+        result = qdrant_post(f"/collections/{collection}/points/scroll", body)
+        batch = result.get("result", {}).get("points", [])
+        points.extend(batch)
+        next_offset = result.get("result", {}).get("next_page_offset")
+        if next_offset is None:
+            break
+        offset = next_offset
+    return points
+
+
+def update_points(collection: str, points: list, old_uuid: str, new_uuid: str):
+    """Update file_uuid in payload for the given points"""
+    if not points:
+        return 0
+
+    updated = []
+    for p in points:
+        pl = p.get("payload", {})
+        # Check both 'uuid' and 'file_uuid' fields
+        changed = False
+        if pl.get("uuid") == old_uuid:
+            pl["uuid"] = new_uuid
+            changed = True
+        if pl.get("file_uuid") == old_uuid:
+            pl["file_uuid"] = new_uuid
+            changed = True
+        if changed:
+            updated.append({
+                "id": p["id"],
+                "vector": p["vector"],
+                "payload": pl,
+            })
+
+    if not updated:
+        return 0
+
+    # Update in batches of 500
+    total = len(updated)
+    for i in range(0, total, 500):
+        batch = updated[i:i+500]
+        result = qdrant_put(
+            f"/collections/{collection}/points?wait=true",
+            {"points": batch}
+        )
+        if result.get("status") != "ok":
+            print(f"    Error at {i}: {result}")
+            return i
+    return total
+
+
+def main():
+    for collection in COLLECTIONS:
+        # Check if collection exists
+        info = qdrant_get(f"/collections/{collection}")
+        if "result" not in info:
+            continue
+
+        for old_uuid, new_uuids in UUID_MAP.items():
+            for new_uuid in new_uuids:
+                # Scroll all points with this old UUID
+                filter_body = {
+                    "must": [
+                        {"should": [
+                            {"key": "uuid", "match": {"value": old_uuid}},
+                            {"key": "file_uuid", "match": {"value": old_uuid}},
+                        ]}
+                    ]
+                }
+                points = scroll_all(collection, filter_body)
+                if not points:
+                    continue
+
+                print(f"{collection}: {len(points)} points with UUID {old_uuid[:8]}...")
+                updated = update_points(collection, points, old_uuid, new_uuid)
+                print(f"  → {updated} points updated to {new_uuid[:8]}...")
+
+    # Verify
+    print("\n=== Verification ===")
+    for collection in COLLECTIONS:
+        for old_uuid, new_uuids in UUID_MAP.items():
+            for what, uuid in [("old", old_uuid), ("new", new_uuids[0])]:
+                filter_body = {
+                    "must": [
+                        {"should": [
+                            {"key": "uuid", "match": {"value": uuid}},
+                            {"key": "file_uuid", "match": {"value": uuid}},
+                        ]}
+                    ]
+                }
+                result = qdrant_post(
+                    f"/collections/{collection}/points/count",
+                    {"filter": filter_body}
+                )
+                cnt = result.get("result", {}).get("count", 0)
+                if cnt > 0:
+                    print(f"  {collection}: {cnt} points with {what} UUID")
+    print("✅ Done")
+
+
+if __name__ == "__main__":
+    main()

doc_wasm/Cargo.lock

@@ -0,0 +1,224 @@
+# This file is automatically @generated by Cargo.
+# It is not intended for manual editing.
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+
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+
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+
+[[package]]
+name = "doc_wasm"
+version = "0.1.0"
+dependencies = [
+ "pulldown-cmark",
+ "serde",
+ "serde_json",
+ "wasm-bindgen",
+]
+
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+ "bitflags",
+ "getopts",
+ "memchr",
+ "pulldown-cmark-escape",
+ "unicase",
+]
+
+[[package]]
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+ "proc-macro2",
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+ "serde_derive",
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+ "quote",
+ "syn",
+]
+
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+ "itoa",
+ "memchr",
+ "serde",
+ "serde_core",
+ "zmij",
+]
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+[[package]]
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+ "proc-macro2",
+ "quote",
+ "unicode-ident",
+]
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+
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+checksum = "49ace1d07c165b0864824eee619580c4689389afa9dc9ed3a4c75040d82e6790"
+dependencies = [
+ "cfg-if",
+ "once_cell",
+ "rustversion",
+ "wasm-bindgen-macro",
+ "wasm-bindgen-shared",
+]
+
+[[package]]
+name = "wasm-bindgen-macro"
+version = "0.2.121"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "8e68e6f4afd367a562002c05637acb8578ff2dea1943df76afb9e83d177c8578"
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+ "quote",
+ "wasm-bindgen-macro-support",
+]
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+name = "wasm-bindgen-macro-support"
+version = "0.2.121"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "d95a9ec35c64b2a7cb35d3fead40c4238d0940c86d107136999567a4703259f2"
+dependencies = [
+ "bumpalo",
+ "proc-macro2",
+ "quote",
+ "syn",
+ "wasm-bindgen-shared",
+]
+
+[[package]]
+name = "wasm-bindgen-shared"
+version = "0.2.121"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "c4e0100b01e9f0d03189a92b96772a1fb998639d981193d7dbab487302513441"
+dependencies = [
+ "unicode-ident",
+]
+
+[[package]]
+name = "zmij"
+version = "1.0.21"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "b8848ee67ecc8aedbaf3e4122217aff892639231befc6a1b58d29fff4c2cabaa"

doc_wasm/Cargo.toml

@@ -0,0 +1,18 @@
+[package]
+name = "doc_wasm"
+version = "0.1.0"
+edition = "2021"
+
+[lib]
+crate-type = ["cdylib", "rlib"]
+
+[dependencies]
+wasm-bindgen = "0.2"
+pulldown-cmark = "0.11"
+serde = { version = "1", features = ["derive"] }
+serde_json = "1"
+
+[profile.release]
+lto = true
+opt-level = "s"
+strip = true

doc_wasm/src/lib.rs

@@ -0,0 +1,29 @@
+use wasm_bindgen::prelude::*;
+
+#[wasm_bindgen]
+pub fn render_markdown(md: &str) -> String {
+    let parser = pulldown_cmark::Parser::new(md);
+    let mut html = String::new();
+    pulldown_cmark::html::push_html(&mut html, parser);
+    // wrap tables
+    html = html.replace("<table>", "<table class=\"table\">");
+    html
+}
+
+#[wasm_bindgen]
+pub fn module_list() -> String {
+    serde_json::to_string(&[
+        ("01_auth", "安全認證", "Authentication"),
+        ("02_health", "健康檢查", "Health"),
+        ("03_register", "檔案註冊", "File Registration"),
+        ("04_lookup", "檔案屬性查詢", "File Lookup"),
+        ("05_process", "處理流程", "Processing"),
+        ("06_search", "搜尋功能", "Search"),
+        ("07_identity", "身份識別", "Identity"),
+        ("08_identity_agent", "智能身份綁定", "Smart Identity Binding"),
+        ("08_media", "串流與截圖", "Streaming & Thumbnails"),
+        ("09_tmdb", "TMDb 整合", "TMDb Integration"),
+        ("10_pipeline", "生產線", "Pipeline"),
+        ("12_agent", "智慧代理", "AI Agents"),
+    ]).unwrap_or_default()
+}

docs/3002_3003_SEPARATION_STATUS.md

@@ -0,0 +1,70 @@
+# 3002/3003 Schema Separation Status
+
+Date: 2026-05-17
+Status: ✅ Pipeline tables created in `public`; schema incompatibilities remain
+
+## Summary
+
+| Schema | Has pipeline tables | Has auth tables | Used by |
+|--------|-------------------|-----------------|---------|
+| `public` | ✅ (newly created) | ✅ (original) | 3002 (production) — currently using `dev` as workaround |
+| `dev` | ✅ (full, working) | ✅ (synced) | 3003 (playground) |
+
+## What Was Done
+
+### Pipeline tables created in `public` schema (11 tables)
+- `videos`, `chunk`, `chunk_vectors`, `cuts`, `frames`
+- `monitor_jobs`, `processor_results`, `processor_versions`
+- `parent_chunks`, `tkg_edges`, `tkg_nodes`
+
+All include proper sequences, indexes, and constraints matching the `dev` schema.
+
+## Remaining Blockers
+
+### Schema incompatibilities between `dev` and `public`
+
+| Table | dev cols | public cols | Status |
+|-------|---------|------------|--------|
+| identities | 17 | 16 | ⚠️ Different columns (e.g. `name` vs `real_name`/`actor_name`) |
+| face_detections | 16 | 17 | ⚠️ Column count mismatch |
+| identity_bindings | 7 | 8 | ⚠️ Column count mismatch |
+| person_identities | 16 | 15 | ⚠️ Column count mismatch |
+| pre_chunks | 19 | 10 | ⚠️ Significantly different |
+| api_keys | 19 | 19 | ✅ Match |
+| resources | 9 | 9 | ✅ Match |
+| users | 8 | 8 | ✅ Match |
+
+### Identities table key differences
+- `public.identities` uses `real_name` + `actor_name` (old schema)
+- `dev.identities` uses `name` (new unified schema)
+- `dev.identities` has `tmdb_poster`, `file_uuid`, `face_embedding`, `voice_embedding`, `identity_embedding`
+- `public.identities` only has `face_embedding`, `voice_embedding` (no `identity_embedding`)
+
+## Options
+
+### Option A: Full data migration (recommended for later)
+1. Dump data from old public tables
+2. Drop old public tables
+3. Recreate from dev schema DDL
+4. Migrate data with column mapping
+5. Switch 3002 to `DATABASE_SCHEMA=public`
+
+### Option B: Keep current workaround (simplest for now)
+- 3002 continues with `DATABASE_SCHEMA=dev`
+- 3003 uses `DATABASE_SCHEMA=dev`
+- Both share the same schema, but have separate Redis key prefixes + ports
+
+### Option C: Rename dev → public (requires downtime)
+1. Stop all services
+2. Rename `dev` schema to something else
+3. Rename `public` to `public_old`
+4. Rename `dev` to `public`
+5. Update references
+
+## Current Status
+
+✅ Pipeline tables exist in both schemas
+✅ auth tables (users, sessions, jwt_blacklist) exist in both
+✅ Redis key prefixes separate (`momentry:` vs `momentry_dev:`)
+⚠️ 3002 still uses `DATABASE_SCHEMA=dev` workaround
+⛔ Shared tables need migration before 3002 can use `public` schema

docs/API_CURL_EXAMPLES.md

@@ -1,586 +0,0 @@
-# Momentry API 使用說明 (curl 範例)
-
-| 項目 | 內容 |
-|------|------|
-| 版本 | V1.4 |
-| 日期 | 2026-03-26 |
-| Base URL | `http://localhost:3002` |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.4 | 2026-03-26 | 新增: 任務管理端點 (`/api/v1/jobs`, `/api/v1/jobs/:uuid`)，更新註冊端點回應格式 | OpenCode | deepseek-reasoner |
-| V1.3 | 2026-03-25 | 更新: n8n 搜尋回傳 `file_path` 取代 `media_url`，新增 API Key 驗證說明 | OpenCode | deepseek-reasoner |
-| V1.2 | 2026-03-23 | 建立 curl 範例文件 | Warren | OpenCode / MiniMax M2.5 |
-| V1.1 | 2026-03-18 | 創建文件 | Warren | OpenCode / MiniMax M2.5 |
-
----
-
-> **狀態說明**:
-> - ✅ **已實作**: 健康檢查、搜尋、影片管理端點
-> - ⚠️ **規劃中**: API Key 管理功能
-> - 🔧 **CLI**: 部分功能需使用命令列工具
-
----
-
-## 目錄
-
-1. [已實作端點](#1-已實作端點)
-2. [API Key 管理](#2-api-key-管理-規劃中)
-3. [影片管理](#3-影片管理)
-4. [查詢與搜索](#4-查詢與搜索)
-5. [系統狀態](#5-系統狀態)
-
----
-
-## URL 選擇指南
-
-### 兩種 URL 的使用情境
-
-| 環境 | URL | 說明 |
-|------|-----|------|
-| **本地開發** | `http://localhost:3002` | 直接訪問 API，繞過反向代理 |
-| **外部訪問** | `https://api.momentry.ddns.net` | 通過 Caddy 反向代理訪問，需網路可達 |
-
-### 何時使用 localhost:3002
-
-- ✅ 開發/測試環境
-- ✅ 直接在伺服器上操作
-- ✅ 當 Caddy/反向代理有問題時
-- ✅ 需要快速除錯時
-
-### 何時使用 api.momentry.ddns.net
-
-- ✅ n8n workflow 中呼叫 API
-- ✅ 外部系統整合
-- ✅ 生產環境
-- ✅ 從其他機器訪問
-
-### 快速切換範例
-
-```bash
-# 本地測試
-curl http://localhost:3002/health
-
-# 外部測試（功能相同）
-curl https://api.momentry.ddns.net/health
-```
-
-### 常見問題
-
-**Q: 為什麼有兩個 URL？**
-A: `localhost:3002` 是直接訪問，`api.momentry.ddns.net` 通過 Caddy 反向代理。
-
-**Q: 兩者功能相同嗎？**
-A: 是的，所有端點和功能完全相同。
-
-**Q: 502 錯誤時怎麼辦？**
-A: 如果 `api.momentry.ddns.net` 返回 502，檢查 Momentry API 服務是否運行：
-```bash
-launchctl list | grep momentry.api
-# 如果未運行
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-```
-
----
-
-## API 認證
-
-所有 `/api/v1/*` 端點（除了健康檢查）都需要 API Key 認證。請在請求標頭中加入：
-
-```
--H "X-API-Key: YOUR_API_KEY"
-```
-
-**目前示範使用的 API Key**: `demo_api_key_12345`
-
-> **注意**: 正式環境請使用安全的 API Key 管理機制。
-
----
-
-## 1. 已實作端點
-
-### 健康檢查
-
-```bash
-curl http://localhost:3002/health
-```
-
-**回應**:
-```json
-{"status":"ok","version":"0.1.0","uptime_ms":123456}
-```
-
-### 詳細健康檢查
-
-```bash
-curl http://localhost:3002/health/detailed
-```
-
----
-
-## 2. API Key 管理 *(規劃中)*
-
-> ⚠️ **此功能尚未實作**。以下為規劃中的 API 說明，僅供參考。
-
-### 2.1 建立 API Key
-
-```bash
-curl -X POST http://localhost:3002/api/v1/api-keys \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: your-admin-key" \
-  -d '{
-    "name": "my-service-key",
-    "key_type": "service",
-    "permissions": ["read", "write"],
-    "ttl_days": 90
-  }'
-```
-
-### 2.2 列出所有 API Keys
-
-```bash
-curl -X GET http://localhost:3002/api/v1/api-keys \
-  -H "X-API-Key: your-admin-key"
-```
-
-### 2.3 驗證 API Key
-
-```bash
-curl -X GET http://localhost:3002/api/v1/api-keys/validate \
-  -H "X-API-Key: key-to-validate"
-```
-
-### 2.4 撤銷 API Key
-
-```bash
-curl -X DELETE http://localhost:3002/api/v1/api-keys/msvc_a1b2c3d4_... \
-  -H "X-API-Key: your-admin-key"
-```
-
-### 2.5 請求 Key 輪換
-
-```bash
-curl -X POST http://localhost:3002/api/v1/api-keys/msvc_a1b2c3d4_.../rotate \
-  -H "X-API-Key: your-admin-key" \
-  -H "Content-Type: application/json" \
-  -d '{"reason": "scheduled_rotation"}'
-```
-
-### 2.6 取得統計資訊
-
-```bash
-curl -X GET http://localhost:3002/api/v1/api-keys/stats \
-  -H "X-API-Key: your-admin-key"
-```
-
----
-
-## 3. 影片管理
-
-### 3.1 註冊影片 ✅
-
-```bash
-curl -X POST http://localhost:3002/api/v1/register \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{"path": "/path/to/video.mp4"}'
-```
-
-**回應範例**:
-
-```json
-{
-  "uuid": "a1b2c3d4e5f6g7h8",
-  "video_id": 1,
-  "job_id": 123,
-  "file_name": "video.mp4",
-  "duration": 120.5,
-  "width": 1920,
-  "height": 1080,
-  "already_exists": false
-}
-```
-
-### 3.2 列出所有影片 ✅
-
-```bash
-curl -H "X-API-Key: YOUR_API_KEY" http://localhost:3002/api/v1/videos
-```
-
-### 3.3 查詢影片 ✅
-
-```bash
-# 依 UUID 查詢
-curl -H "X-API-Key: YOUR_API_KEY" "http://localhost:3002/api/v1/lookup?uuid=a1b2c3d4e5f6g7h8"
-
-# 依路徑查詢
-curl -H "X-API-Key: YOUR_API_KEY" "http://localhost:3002/api/v1/lookup?path=/path/to/video.mp4"
-```
-
-### 3.4 處理影片 🔧 *(CLI - 非 API)*
-
-影片處理需要使用 CLI 命令：
-
-```bash
-# 處理影片（生成 ASR, CUT, YOLO, OCR, Face, Pose 資料）
-cargo run --bin momentry -- process <uuid>
-
-# 或處理多個影片
-cargo run --bin momentry -- process <uuid1> <uuid2> <uuid3>
-```
-
-### 3.5 取得處理進度 ✅
-
-```bash
-curl -H "X-API-Key: YOUR_API_KEY" http://localhost:3002/api/v1/progress/<uuid>
-```
-
-**回應範例**:
-
-```json
-{
-  "uuid": "a1b2c3d4e5f6g7h8",
-  "overall_progress": 75,
-  "processors": [
-    {
-      "name": "asr",
-      "status": "complete",
-      "current": 100,
-      "total": 100,
-      "progress": 100,
-      "message": "7 segments"
-    },
-    {
-      "name": "cut",
-      "status": "complete",
-      "current": 134,
-      "total": 134,
-      "progress": 100,
-      "message": "134 scenes"
-    },
-    {
-      "name": "yolo",
-      "status": "progress",
-      "current": 5000,
-      "total": 14315,
-      "progress": 35,
-      "message": "frame 5000"
-    }
-  ]
-}
-```
-
-### 3.6 任務管理 ✅
-
-```bash
-# 列出所有任務
-curl -H "X-API-Key: YOUR_API_KEY" http://localhost:3002/api/v1/jobs
-
-# 取得特定任務詳情
-curl -H "X-API-Key: YOUR_API_KEY" http://localhost:3002/api/v1/jobs/<uuid>
-```
-
-**任務列表回應範例**:
-```json
-{
-  "jobs": [
-    {
-      "id": 123,
-      "uuid": "a1b2c3d4e5f6g7h8",
-      "status": "pending",
-      "current_processor": null,
-      "progress_current": 0,
-      "progress_total": 100,
-      "created_at": "2026-03-26 10:30:00",
-      "started_at": null
-    }
-  ]
-}
-```
-
-**任務詳情回應範例**:
-```json
-{
-  "id": 123,
-  "uuid": "a1b2c3d4e5f6g7h8",
-  "status": "processing",
-  "current_processor": "asr",
-  "progress_current": 50,
-  "progress_total": 100,
-  "processors": [
-    {
-      "processor_type": "asr",
-      "status": "complete",
-      "started_at": "2026-03-26 10:30:00",
-      "completed_at": "2026-03-26 10:35:00",
-      "duration_secs": 300.5,
-      "error_message": null
-    },
-    {
-      "processor_type": "cut",
-      "status": "pending",
-      "started_at": null,
-      "completed_at": null,
-      "duration_secs": null,
-      "error_message": null
-    }
-  ],
-  "created_at": "2026-03-26 10:30:00",
-  "started_at": "2026-03-26 10:30:00",
-  "updated_at": "2026-03-26 10:35:00"
-}
-```
-
----
-
-## 4. 查詢與搜索
-
-### 4.1 語意搜尋 ✅
-
-```bash
-curl -X POST http://localhost:3002/api/v1/search \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{
-    "query": "測試關鍵字",
-    "limit": 5
-  }'
-```
-
-**回應範例**:
-
-```json
-{
-  "results": [
-    {
-      "uuid": "a1b2c3d4e5f6g7h8",
-      "chunk_id": "sentence_0006",
-      "chunk_type": "sentence",
-      "start_time": 48.8,
-      "end_time": 55.44,
-      "text": "fun plot twists...",
-      "score": 0.526
-    }
-  ],
-  "query": "測試關鍵字"
-}
-```
-
-### 4.2 n8n 格式搜尋 ✅
-
-```bash
-curl -X POST http://localhost:3002/api/v1/n8n/search \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{
-    "query": "測試關鍵字",
-    "limit": 5
-  }'
-```
-
-**回應範例**:
-
-```json
-{
-  "query": "測試關鍵字",
-  "count": 2,
-  "hits": [
-    {
-      "id": "c_001",
-      "vid": "a1b2c3d4e5f6g7h8",
-      "start": 48.8,
-      "end": 55.44,
-      "title": "Chunk sentence_0006",
-      "text": "fun plot twists...",
-      "score": 0.92,
-      "file_path": "/Users/accusys/momentry/var/sftpgo/data/demo/video.mp4"
-    }
-  ]
-}
-```
-
-### 4.3 混合搜尋 ✅
-
-```bash
-curl -X POST http://localhost:3002/api/v1/search/hybrid \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{
-    "query": "測試關鍵字",
-    "limit": 5
-  }'
-```
-
----
-
-## 5. 系統狀態
-
-### 5.1 健康檢查 ✅
-
-```bash
-curl http://localhost:3002/health
-```
-
-**回應**:
-```json
-{"status":"ok","version":"0.1.0","uptime_ms":123456}
-```
-
-### 5.2 詳細健康檢查 ✅
-
-```bash
-curl http://localhost:3002/health/detailed
-```
-
-**回應範例**:
-
-```json
-{
-  "status":"ok",
-  "version":"0.1.0",
-  "uptime_ms":123456,
-  "services":{
-    "postgres":{"status":"ok","latency_ms":42,"error":null},
-    "redis":{"status":"ok","latency_ms":0,"error":null},
-    "qdrant":{"status":"ok","latency_ms":15,"error":null}
-  }
-}
-```
-
----
-
-## 6. n8n Webhook 測試
-
-### 測試 n8n Workflow
-
-**重要**: 測試前請先在 n8n UI 中點擊 "Execute workflow" 按鈕
-
-```bash
-# 測試 Video RAG Workflow (Test Mode)
-curl -X POST http://localhost:5678/webhook-test/video-rag-mcp \
-  -H "Content-Type: application/json" \
-  -d '{"query":"charade","limit":3}'
-
-# 帶有 UUID 過濾的搜尋
-curl -X POST http://localhost:5678/webhook-test/video-rag-mcp \
-  -H "Content-Type: application/json" \
-  -d '{"query":"woody","limit":5,"uuid":"a1b10138a6bbb0cd"}'
-```
-
-### 生產環境 Webhook
-
-**注意**: 工作流程必須處於 Active 狀態
-
-```bash
-curl -X POST http://localhost:5678/webhook/video-rag-mcp \
-  -H "Content-Type: application/json" \
-  -d '{"query":"charade","limit":3}'
-```
-
-### n8n Webhook 常見問題
-
-**Q: webhook-test 返回 404**
-A: 需要在 n8n UI 中點擊 "Execute workflow" 按鈕後才能使用 test webhook
-
-**Q: webhook (生產環境) 返回 404**
-A: 需要將工作流程切換為 Active 狀態 (右上角開關)
-
----
-
-## 附錄
-
-### A. 服務 URL 列表
-
-| 服務 | URL |
-|------|-----|
-| Momentry API (本地) | `http://localhost:3002` |
-| Momentry API (外部) | `https://api.momentry.ddns.net` |
-| n8n Web UI | `https://n8n.momentry.ddns.net` |
-| n8n Webhook Test | `http://localhost:5678/webhook-test/{workflow-name}` |
-| n8n Webhook Prod | `http://localhost:5678/webhook/{workflow-name}` |
-
-### B. 所有可用端點
-
-| 端點 | 方法 | 狀態 | 說明 |
-|------|------|------|------|
-| `/health` | GET | ✅ | 健康檢查 |
-| `/health/detailed` | GET | ✅ | 詳細健康檢查 |
-| `/api/v1/register` | POST | ✅ | 註冊影片 |
-| `/api/v1/search` | POST | ✅ | 語意搜尋 |
-| `/api/v1/n8n/search` | POST | ✅ | n8n 格式搜尋 |
-| `/api/v1/search/hybrid` | POST | ✅ | 混合搜尋 |
-| `/api/v1/lookup` | GET | ✅ | 查詢影片 |
-| `/api/v1/videos` | GET | ✅ | 列出所有影片 |
-| `/api/v1/progress/:uuid` | GET | ✅ | 處理進度 |
-| `/api/v1/jobs` | GET | ✅ | 任務列表 |
-| `/api/v1/jobs/:uuid` | GET | ✅ | 任務詳情 |
-| `/api/v1/api-keys` | * | ⚠️ | API Key 管理 (規劃中) |
-
-### C. 常見錯誤
-
-| HTTP 狀態 | 說明 | 解決方式 |
-|-----------|------|----------|
-| 200 | 成功 | - |
-| 400 | 請求格式錯誤 | 檢查 JSON 格式 |
-| 404 | 端點不存在或資源未找到 | 確認端點 URL 正確 |
-| 500 | 伺服器內部錯誤 | 檢查 API 服務日誌 |
-| **502** | **Bad Gateway** | **API 服務未啟動，見下方說明** |
-
-#### 502 Bad Gateway 錯誤
-
-**問題**: 外部 URL `https://api.momentry.ddns.net` 返回 502
-
-**原因**: Momentry Core API 服務未啟動
-
-**解決方式**:
-
-```bash
-# 1. 檢查服務狀態
-launchctl list | grep momentry.api
-
-# 2. 如果未啟動，手動啟動
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-
-# 3. 或使用本地測試（繞過反向代理）
-curl http://localhost:3002/health
-
-# 4. 檢查日誌
-tail -50 /Users/accusys/momentry/log/momentry_api.error.log
-```
-
-### D. 範例腳本
-
-```bash
-#!/bin/bash
-# api_test.sh - API 測試腳本
-
-API_URL="http://localhost:3002"
-
-# 健康檢查
-echo "=== Health Check ==="
-curl -s "$API_URL/health" | jq .
-
-# 搜尋
-echo -e "\n=== Search ==="
-curl -s -X POST "$API_URL/api/v1/search" \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{"query": "test", "limit": 3}' | jq .
-
-# 列出影片
-echo -e "\n=== Videos ==="
-curl -s -H "X-API-Key: YOUR_API_KEY" "$API_URL/api/v1/videos" | jq '.videos | length'
-```
-
----
-
-## 相關文件
-
-- [API_INDEX.md](./API_INDEX.md) - 文件總覽（起點）
-- [API_ENDPOINTS.md](./API_ENDPOINTS.md) - 端點完整說明
-- [API_N8N_GUIDE.md](./API_N8N_GUIDE.md) - n8n 使用範例
-- [API_WORDPRESS_GUIDE.md](./API_WORDPRESS_GUIDE.md) - WordPress 使用範例

docs/API_EXAMPLES.md

@@ -1,771 +0,0 @@
-# Momentry Core API 使用範例總覽
-
-| 項目 | 內容 |
-|------|------|
-| 版本 | V2.1 |
-| 日期 | 2026-03-26 |
-| Base URL (本地) | `http://localhost:3002` |
-| Base URL (外部) | `https://api.momentry.ddns.net` |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 |
-|------|------|------|--------|
-| V2.0 | 2026-03-25 | 創建完整範例總覽 | OpenCode |
-| V2.1 | 2026-03-26 | 更新API回應格式 (media_url→file_path) 與認證標頭 | OpenCode |
-
----
-
-## 快速參考
-
-### 環境 URL 選擇
-
-| 環境 | URL | 用途 |
-|------|-----|------|
-| **本地開發** | `http://localhost:3002` | 開發/測試，直接訪問 API |
-| **外部訪問** | `https://api.momentry.ddns.net` | n8n、WordPress、curl 生產環境 |
-
-### 所有可用端點
-
-| 方法 | 端點 | 說明 |
-|------|------|------|
-| GET | `/health` | 健康檢查 |
-| GET | `/health/detailed` | 詳細健康檢查 |
-| POST | `/api/v1/search` | 語意搜尋（標準格式） |
-| POST | `/api/v1/n8n/search` | 語意搜尋（n8n 格式） |
-| POST | `/api/v1/search/hybrid` | 混合搜尋 |
-| POST | `/api/v1/register` | 註冊影片 |
-| POST | `/api/v1/probe` | 探測影片資訊 |
-| GET | `/api/v1/videos` | 列出所有影片 |
-| GET | `/api/v1/lookup` | 查詢影片 |
-| GET | `/api/v1/progress/:uuid` | 處理進度 |
-| GET | `/api/v1/jobs` | 任務列表 |
-| GET | `/api/v1/jobs/:uuid` | 任務詳情 |
-
----
-
-## 認證
-
-### API Key
-
-所有 `/api/v1/*` 端點需要 API Key 認證。
-
-```bash
-# 添加 API Key Header
-curl -H "X-API-Key: your-api-key" http://localhost:3002/api/v1/videos
-
-# 範例
-curl -H "X-API-Key: muser_f08e13ba967e4d8ea8fc542ad9f99ac8_1774416728_90472a35" \
-  http://localhost:3002/api/v1/videos
-```
-
-### 響應狀態
-
-| 狀態碼 | 說明 |
-|--------|------|
-| 200 | 成功 |
-| 401 | 未授權（缺少或無效 API Key） |
-| 500 | 伺服器錯誤 |
-
-### 建立 API Key
-
-```bash
-./target/release/momentry api-key create "My Key" --key-type user
-```
-
----
-
-## 1. curl 範例
-
-### 基本語法
-
-```bash
-# 格式
-curl [OPTIONS] URL
-
-# 常用選項
--X METHOD    # HTTP 方法 (GET, POST, etc.)
--H HEADER    # 添加 HTTP 標頭
--d DATA      # POST 請求體
--s           # 靜默模式
--w FORMAT    # 輸出額外信息
-```
-
-### 1.1 健康檢查
-
-```bash
-# 基本健康檢查
-curl http://localhost:3002/health
-
-# 詳細健康檢查
-curl http://localhost:3002/health/detailed
-```
-
-**回應**:
-```json
-{"status":"ok","version":"0.1.0","uptime_ms":123456}
-```
-
-### 1.2 語意搜尋
-
-```bash
-# 標準格式搜尋
-curl -X POST http://localhost:3002/api/v1/search \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{"query": "charade", "limit": 5}'
-
-# n8n 格式搜尋（推薦）
-curl -X POST http://localhost:3002/api/v1/n8n/search \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{"query": "charade", "limit": 5}'
-
-# 混合搜尋
-curl -X POST http://localhost:3002/api/v1/search/hybrid \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{"query": "charade", "limit": 5}'
-```
-
-**標準格式回應**:
-```json
-{
-  "results": [
-    {
-      "uuid": "a1b10138a6bbb0cd",
-      "chunk_id": "sentence_0001",
-      "chunk_type": "sentence",
-      "start_time": 48.8,
-      "end_time": 55.44,
-      "text": "fun plot twists...",
-      "score": 0.92
-    }
-  ],
-  "query": "charade"
-}
-```
-
-**n8n 格式回應**:
-```json
-{
-  "query": "charade",
-  "count": 1,
-  "hits": [
-    {
-      "id": "sentence_0001",
-      "vid": "a1b10138a6bbb0cd",
-      "start": 48.8,
-      "end": 55.44,
-      "title": "Chunk sentence_0001",
-      "text": "fun plot twists...",
-      "score": 0.92,
-      "file_path": "/Users/accusys/momentry/var/sftpgo/data/demo/video.mp4"
-    }
-  ]
-}
-```
-
-### 1.3 影片管理
-
-```bash
-# 列出所有影片
-curl -H "X-API-Key: YOUR_API_KEY" http://localhost:3002/api/v1/videos
-
-# 查詢特定影片（依 UUID）
-curl -H "X-API-Key: YOUR_API_KEY" "http://localhost:3002/api/v1/lookup?uuid=a1b10138a6bbb0cd"
-
-# 查詢特定影片（依路徑）
-curl -H "X-API-Key: YOUR_API_KEY" "http://localhost:3002/api/v1/lookup?path=/path/to/video.mp4"
-
-# 取得處理進度
-curl -H "X-API-Key: YOUR_API_KEY" http://localhost:3002/api/v1/progress/a1b10138a6bbb0cd
-
-# 探測影片（不註冊）
-curl -X POST http://localhost:3002/api/v1/probe \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{"path": "/path/to/video.mp4"}'
-
-# 註冊影片
-curl -X POST http://localhost:3002/api/v1/register \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{"path": "/path/to/video.mp4"}'
-```
-
-### 1.4 批次測試腳本
-
-```bash
-#!/bin/bash
-# api_test.sh - API 測試腳本
-
-API_URL="http://localhost:3002"
-
-echo "=== 健康檢查 ==="
-curl -s "$API_URL/health" | jq .
-
-echo -e "\n=== 語意搜尋 ==="
-curl -s -X POST "$API_URL/api/v1/search" \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{"query": "charade", "limit": 3}' | jq .
-
-echo -e "\n=== 影片列表 ==="
-curl -s -H "X-API-Key: YOUR_API_KEY" "$API_URL/api/v1/videos" | jq '.videos | length'
-```
-
-### 1.5 外部 URL 範例
-
-```bash
-# 使用外部 URL（需網路可達）
-curl https://api.momentry.ddns.net/health
-
-# 外部搜尋
-curl -X POST https://api.momentry.ddns.net/api/v1/n8n/search \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{"query": "charade", "limit": 5}'
-```
-
----
-
-## 2. n8n 範例
-
-### 2.1 HTTP Request Node 設定
-
-```
-Node: HTTP Request
-├── URL: https://api.momentry.ddns.net/api/v1/n8n/search
-├── Method: POST
-├── Authentication: None
-├── Send Body: ✓ (checked)
-├── Content Type: JSON
-├── Body:
-│   {
-│     "query": "={{ $json.query }}",
-│     "limit": "={{ $json.limit || 10 }}"
-│   }
-├── Send Headers: ✓ (checked)
-└── Header Parameters:
-    └── X-API-Key: {{ $env.MOMENTRY_API_KEY }}
-```
-
-### 2.2 基本搜尋 Workflow
-
-```json
-{
-  "name": "Momentry Video Search",
-  "nodes": [
-    {
-      "parameters": {},
-      "name": "Manual Trigger",
-      "type": "n8n-nodes-base.manualTrigger",
-      "position": [250, 300]
-    },
-    {
-      "parameters": {
-        "url": "https://api.momentry.ddns.net/api/v1/n8n/search",
-        "method": "POST",
-        "sendBody": true,
-        "contentType": "json",
-        "body": {
-          "query": "charade",
-          "limit": 3
-        }
-      },
-      "name": "Search Video API",
-      "type": "n8n-nodes-base.httpRequest",
-      "position": [450, 300]
-    }
-  ],
-  "connections": {
-    "Manual Trigger": {
-      "main": [[{"node": "Search Video API"}]]
-    }
-  }
-}
-```
-
-### 2.3 Webhook 動態搜尋
-
-```json
-{
-  "name": "Momentry Dynamic Search",
-  "nodes": [
-    {
-      "parameters": {
-        "httpMethod": "POST",
-        "path": "search",
-        "responseMode": "lastNode"
-      },
-      "name": "Webhook",
-      "type": "n8n-nodes-base.webhook",
-      "position": [250, 300]
-    },
-    {
-      "parameters": {
-        "url": "https://api.momentry.ddns.net/api/v1/n8n/search",
-        "method": "POST",
-        "sendBody": true,
-        "contentType": "json",
-        "body": {
-          "query": "={{ JSON.stringify($json.body.query) }}",
-          "limit": "={{ $json.body.limit || 5 }}"
-        }
-      },
-      "name": "Search API",
-      "type": "n8n-nodes-base.httpRequest",
-      "position": [450, 300]
-    }
-  ],
-  "connections": {
-    "Webhook": {
-      "main": [[{"node": "Search API"}]]
-    }
-  }
-}
-```
-
-### 2.4 測試 Webhook
-
-```bash
-# 測試模式（需先在 n8n UI 點擊 Execute）
-curl -X POST http://localhost:5678/webhook-test/video-rag-mcp \
-  -H "Content-Type: application/json" \
-  -d '{"query":"charade","limit":3}'
-
-# 生產環境（需 workflow 為 Active 狀態）
-curl -X POST http://localhost:5678/webhook/video-rag-mcp \
-  -H "Content-Type: application/json" \
-  -d '{"query":"charade","limit":3}'
-```
-
-### 2.5 健康檢查 Workflow
-
-```json
-{
-  "name": "Momentry Health Check",
-  "nodes": [
-    {
-      "parameters": {},
-      "name": "Manual Trigger",
-      "type": "n8n-nodes-base.manualTrigger",
-      "position": [250, 300]
-    },
-    {
-      "parameters": {
-        "url": "https://api.momentry.ddns.net/health",
-        "method": "GET"
-      },
-      "name": "Health Check",
-      "type": "n8n-nodes-base.httpRequest",
-      "position": [450, 300]
-    }
-  ],
-  "connections": {
-    "Manual Trigger": {
-      "main": [[{"node": "Health Check"}]]
-    }
-  }
-}
-```
-
-### 2.6 錯誤處理
-
-| 錯誤 | 原因 | 解決 |
-|------|------|------|
-| 502 Bad Gateway | API 服務未啟動 | `sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist` |
-| "Your request is invalid" | Body 格式設定錯誤 | 確認 Content Type: JSON，Body 為有效 JSON |
-| 404 on webhook-test | 未執行 workflow | 在 n8n UI 點擊 "Execute workflow" |
-
----
-
-## 3. WordPress 範例
-
-### 3.1 PHP 基本用法
-
-```php
-<?php
-// 搜尋影片
-$api_url = 'https://api.momentry.ddns.net/api/v1/n8n/search';
-
-$data = [
-    'query' => 'charade',
-    'limit' => 10
-];
-
-$response = wp_remote_post($api_url, [
-    'headers' => ['Content-Type' => 'application/json'],
-    'body'    => json_encode($data),
-    'timeout' => 30
-]);
-
-if (is_wp_error($response)) {
-    echo '錯誤: ' . $response->get_error_message();
-} else {
-    $body = json_decode(wp_remote_retrieve_body($response), true);
-    print_r($body['hits']);
-}
-?>
-```
-
-### 3.2 列出影片
-
-```php
-<?php
-$api_url = 'https://api.momentry.ddns.net/api/v1/videos';
-
-$response = wp_remote_get($api_url, ['timeout' => 30]);
-
-if (!is_wp_error($response)) {
-    $body = json_decode(wp_remote_retrieve_body($response), true);
-    foreach ($body['videos'] as $video) {
-        echo $video['file_name'] . "\n";
-    }
-}
-?>
-```
-
-### 3.3 查詢特定影片
-
-```php
-<?php
-$uuid = 'a1b10138a6bbb0cd';
-$api_url = 'https://api.momentry.ddns.net/api/v1/lookup?uuid=' . $uuid;
-
-$response = wp_remote_get($api_url, ['timeout' => 30]);
-
-if (!is_wp_error($response)) {
-    $video = json_decode(wp_remote_retrieve_body($response), true);
-    echo '檔案: ' . $video['file_name'] . "\n";
-    echo '時長: ' . $video['duration'] . ' 秒';
-}
-?>
-```
-
-### 3.4 JavaScript fetch
-
-```javascript
-// 搜尋影片
-async function searchVideos(query, limit = 10) {
-    const response = await fetch('https://api.momentry.ddns.net/api/v1/n8n/search', {
-        method: 'POST',
-        headers: { 'Content-Type': 'application/json' },
-        body: JSON.stringify({ query, limit })
-    });
-    
-    if (!response.ok) {
-        throw new Error('API 請求失敗');
-    }
-    
-    return await response.json();
-}
-
-// 使用範例
-searchVideos('charade', 5)
-    .then(data => {
-        data.hits.forEach(hit => {
-            console.log(`${hit.text} (score: ${hit.score})`);
-        });
-    });
-```
-
-### 3.5 WordPress Shortcode
-
-在 `functions.php` 中註冊短碼：
-
-```php
-<?php
-// 將文件路徑轉換為可訪問的 URL
-function convert_file_path_to_url($file_path) {
-    // 範例: 將 SFTPGo 文件路徑轉換為 web URL
-    // /Users/accusys/momentry/var/sftpgo/data/demo/video.mp4
-    // → https://sftpgo.example.com/demo/video.mp4
-    
-    // 移除基本路徑
-    $base_path = '/Users/accusys/momentry/var/sftpgo/data/';
-    if (strpos($file_path, $base_path) === 0) {
-        $relative_path = substr($file_path, strlen($base_path));
-        // 替換為實際的 SFTPGo web URL
-        return 'https://sftpgo.example.com/' . $relative_path;
-    }
-    
-    // 如果無法轉換，返回原始路徑
-    return $file_path;
-}
-
-// 註冊短碼
-add_shortcode('momentry_search', function($atts) {
-    $atts = shortcode_atts([
-        'query' => '',
-        'limit' => '10'
-    ], $atts);
-    
-    if (empty($atts['query'])) {
-        return '<p>請提供搜尋關鍵字</p>';
-    }
-    
-    $response = wp_remote_post('https://api.momentry.ddns.net/api/v1/n8n/search', [
-        'headers' => [
-            'Content-Type' => 'application/json',
-            'X-API-Key' => 'YOUR_API_KEY'  // 替換為實際的 API Key
-        ],
-        'body'    => json_encode([
-            'query' => $atts['query'],
-            'limit' => (int)$atts['limit']
-        ]),
-        'timeout' => 30
-    ]);
-    
-    if (is_wp_error($response)) {
-        return '<p>搜尋服務暫時無法使用</p>';
-    }
-    
-    $data = json_decode(wp_remote_retrieve_body($response), true);
-    
-    if (empty($data['hits'])) {
-        return '<p>找不到相關結果</p>';
-    }
-    
-    $output = '<ul class="momentry-results">';
-    foreach ($data['hits'] as $hit) {
-        // 注意: API 現在返回 file_path 而非 media_url
-        // 需要將文件路徑轉換為可訪問的 URL
-        $file_path = $hit['file_path'];
-        $video_url = convert_file_path_to_url($file_path); // 需要實作此函數
-        
-        $output .= sprintf(
-            '<li>%s <a href="%s?start=%s">播放</a></li>',
-            esc_html($hit['text']),
-            $video_url,
-            $hit['start']
-        );
-    }
-    $output .= '</ul>';
-    
-    return $output;
-});
-?>
-```
-
-**使用方式**:
-```
-[momentry_search query="charade" limit="5"]
-```
-
-### 3.6 WordPress REST API Endpoint
-
-在 WordPress REST API 中註冊自定義端點：
-
-```php
-<?php
-// 註冊 REST API 端點
-add_action('rest_api_init', function() {
-    register_rest_route('momentry/v1', '/search', [
-        'methods'  => 'POST',
-        'callback' => function($request) {
-            $response = wp_remote_post(
-                'https://api.momentry.ddns.net/api/v1/n8n/search',
-                [
-                    'headers' => ['Content-Type' => 'application/json'],
-                    'body'    => json_encode([
-                        'query' => $request->get_param('query'),
-                        'limit' => $request->get_param('limit', 10)
-                    ])
-                ]
-            );
-            
-            if (is_wp_error($response)) {
-                return new WP_Error('api_error', 'API 請求失敗');
-            }
-            
-            return json_decode(wp_remote_retrieve_body($response));
-        }
-    ]);
-});
-?>
-```
-
-**呼叫方式**:
-```
-POST /wp-json/momentry/v1/search
-Body: {"query": "charade", "limit": 5}
-```
-
----
-
-## 4. 回應格式說明
-
-### 4.1 n8n 格式 (`/api/v1/n8n/search`)
-
-```json
-{
-  "query": "charade",
-  "count": 10,
-  "hits": [
-    {
-      "id": "sentence_0001",
-      "vid": "a1b10138a6bbb0cd",
-      "start": 48.8,
-      "end": 55.44,
-      "title": "Chunk sentence_0001",
-      "text": "fun plot twists...",
-      "score": 0.92,
-      "file_path": "/Users/accusys/momentry/var/sftpgo/data/demo/video.mp4"
-    }
-  ]
-}
-```
-
-### 4.2 標準格式 (`/api/v1/search`)
-
-```json
-{
-  "results": [
-    {
-      "uuid": "a1b10138a6bbb0cd",
-      "chunk_id": "sentence_0001",
-      "chunk_type": "sentence",
-      "start_time": 48.8,
-      "end_time": 55.44,
-      "text": "fun plot twists...",
-      "score": 0.92
-    }
-  ],
-  "query": "charade"
-}
-```
-
-### 4.3 健康檢查
-
-```json
-{
-  "status": "ok",
-  "version": "0.1.0",
-  "uptime_ms": 123456
-}
-```
-
-### 4.4 詳細健康檢查
-
-```json
-{
-  "status": "ok",
-  "version": "0.1.0",
-  "uptime_ms": 123456,
-  "services": {
-    "postgres": {"status": "ok", "latency_ms": 42, "error": null},
-    "redis": {"status": "ok", "latency_ms": 0, "error": null},
-    "qdrant": {"status": "ok", "latency_ms": 15, "error": null},
-    "mongodb": {"status": "ok", "latency_ms": 0, "error": null}
-  }
-}
-```
-
-### 4.5 處理進度
-
-```json
-{
-  "uuid": "a1b10138a6bbb0cd",
-  "file_name": "video.mp4",
-  "duration": 120.5,
-  "overall_progress": 75,
-  "processors": [
-    {"name": "asr", "status": "complete", "progress": 100},
-    {"name": "cut", "status": "complete", "progress": 100},
-    {"name": "yolo", "status": "progress", "progress": 35}
-  ]
-}
-```
-
-### 4.6 Probe 回應
-
-```json
-{
-  "uuid": "a1b10138a6bbb0cd",
-  "file_name": "video.mp4",
-  "duration": 120.5,
-  "width": 1920,
-  "height": 1080,
-  "fps": 30.0,
-  "cached": false,
-  "format": {
-    "filename": "/path/to/video.mp4",
-    "format_name": "mov,mp4,m4a,3gp,3g2,mj2",
-    "duration": "120.5",
-    "size": "12345678",
-    "bit_rate": "819200"
-  },
-  "streams": [
-    {
-      "index": 0,
-      "codec_name": "h264",
-      "codec_type": "video",
-      "width": 1920,
-      "height": 1080,
-      "r_frame_rate": "30/1",
-      "duration": "120.5"
-    }
-  ]
-}
-```
-
----
-
-## 5. HTTP 狀態碼
-
-| 狀態 | 說明 | 解決 |
-|------|------|------|
-| 200 | 成功 | - |
-| 400 | 請求格式錯誤 | 檢查 JSON 格式 |
-| 404 | 端點或資源不存在 | 確認 URL 正確 |
-| 500 | 伺服器內部錯誤 | 檢查 API 服務日誌 |
-| 502 | API 服務未啟動 | 見下方說明 |
-
-### 502 Bad Gateway 解決
-
-```bash
-# 檢查服務狀態
-launchctl list | grep momentry.api
-
-# 啟動服務
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-
-# 或使用本地測試
-curl http://localhost:3002/health
-```
-
----
-
-## 6. 常見問題
-
-### Q: 為什麼有兩個 URL？
-
-| URL | 用途 |
-|-----|------|
-| `localhost:3002` | 直接訪問，繞過反向代理 |
-| `api.momentry.ddns.net` | 通過 Caddy 反向代理 |
-
-### Q: 兩者功能相同嗎？
-
-是的，所有端點和功能完全相同。
-
-### Q: n8n webhook-test 返回 404？
-
-需在 n8n UI 中點擊 "Execute workflow" 按鈕後才能使用測試 Webhook。
-
-### Q: 生產環境 webhook 返回 404？
-
-需將 workflow 切換為 Active 狀態（右上角開關）。
-
----
-
-## 相關文件
-
-- [API_INDEX.md](./API_INDEX.md) - 文件總覽
-- [API_ENDPOINTS.md](./API_ENDPOINTS.md) - 端點完整說明
-- [API_N8N_GUIDE.md](./API_N8N_GUIDE.md) - n8n 詳細指南
-- [API_WORDPRESS_GUIDE.md](./API_WORDPRESS_GUIDE.md) - WordPress 詳細指南

docs/API_INDEX.md

@@ -1,119 +0,0 @@
-# Momentry Core API 文件總覽
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | OpenCode |
-| 建立時間 | 2026-03-25 |
-| 文件版本 | V2.2 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V2.0 | 2026-03-22 | 創建 API 文件總覽 | Warren | OpenCode |
-| V2.1 | 2026-03-24 | 新增文件分類與快速選擇指南 | OpenCode | deepseek-reasoner |
-| V2.2 | 2026-03-25 | 更新 API Key 驗證說明與文件連結 | OpenCode | deepseek-reasoner |
-
----
-
-## 文件架構
-
-```
-docs/
-├── API_INDEX.md              ← 本文件：總覽與入口
-├── API_ENDPOINTS.md          ← API 端點完整說明
-├── API_EXAMPLES.md           ← 完整範例總覽（curl / n8n / WordPress）
-├── API_REFERENCE.md          ← 詳細技術參考
-├── DEMO_MANUAL.md            ← ⭐ 示範手冊（含 Demo API Key）
-├── API_N8N_GUIDE.md          ← n8n 詳細指南
-├── API_WORDPRESS_GUIDE.md     ← WordPress 詳細指南
-├── API_CURL_EXAMPLES.md       ← curl 快速範例
-│
-├── API_TRAINING_MARCOM.md    ← ⭐ marcom 團隊教育訓練手冊
-├── API_WORKFLOW_WORDPRESS_N8N.md ← WordPress/n8n 完整工作流程
-└── CHUNK_DATA_STRUCTURE.md    ← Chunk 資料結構說明
-```
-
----
-
-## 快速選擇指南
-
-| 需求 | 閱讀文件 |
-|------|----------|
-| **我要快速開始測試** | ⭐ [DEMO_MANUAL.md](./DEMO_MANUAL.md) |
-| **我要查看所有範例** | [API_EXAMPLES.md](./API_EXAMPLES.md) |
-| **我是 marcom 團隊** | ⭐ [API_TRAINING_MARCOM.md](./API_TRAINING_MARCOM.md) |
-| 我想了解有哪些 API 端點 | [API_ENDPOINTS.md](./API_ENDPOINTS.md) |
-| 我要整合 WordPress/n8n | [API_WORKFLOW_WORDPRESS_N8N.md](./API_WORKFLOW_WORDPRESS_N8N.md) |
-| 我要在 n8n workflow 中呼叫 API | [DEMO_MANUAL.md](./DEMO_MANUAL.md#2-n8n-範例) |
-| 我要在 WordPress 中呼叫 API | [DEMO_MANUAL.md](./DEMO_MANUAL.md#3-wordpress-範例) |
-| 我要用 curl 快速測試 | [DEMO_MANUAL.md](./DEMO_MANUAL.md#1-curl-範例) |
-
----
-
-## 認證
-
-### Demo API Key
-
-```
-API Key:  muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69
-Key ID:   muser_68600856036340bcafc01930eb4bd839
-過期日:   2027-03-25
-```
-
-### 使用方式
-
-```bash
-curl -H "X-API-Key: muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69" \
-  http://localhost:3002/api/v1/videos
-```
-
----
-
-## API URL 選擇
-
-| 環境 | URL | 使用時機 |
-|------|-----|----------|
-| **本地開發** | `http://localhost:3002` | 開發/測試、繞過反向代理 |
-| **外部訪問** | `https://api.momentry.ddns.net` | n8n、WordPress、遠端系統 |
-
-### 何時用哪個
-
-**使用 `localhost:3002`：**
-- 本地終端機測試
-- 當反向代理有問題時
-- 快速除錯
-
-**使用 `api.momentry.ddns.net`：**
-- n8n workflow
-- WordPress 網站
-- 外部系統整合
-
----
-
-## 常見問題
-
-### Q: API 返回 401 錯誤？
-API Key 無效或過期。請使用 Demo API Key 或建立新的 API Key。
-
-### Q: API 返回 502 錯誤？
-```bash
-# 檢查服務狀態
-launchctl list | grep momentry.api
-
-# 如未啟動
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-```
-
-### Q: 兩個 URL 功能相同嗎？
-是的，所有端點完全相同，只是訪問路徑不同。
-
----
-
-## 相關文件
-
-- [DEMO_MANUAL.md](./DEMO_MANUAL.md) - ⭐ 示範手冊（推薦新手）
-- [INSTALL_MOMENTRY_API.md](./INSTALL_MOMENTRY_API.md) - API 服務安裝指南
-- [PENDING_ISSUES.md](./PENDING_ISSUES.md) - 待解決問題追蹤

docs/API_KEY_ARCHITECTURE.md

@@ -1,195 +0,0 @@
-# API Key Management System Architecture
-
-## System Overview
-
-```
-┌─────────────────────────────────────────────────────────────────────────────────┐
-│                           API Key Management System                             │
-├─────────────────────────────────────────────────────────────────────────────────┤
-│                                                                                 │
-│   ┌─────────────┐     ┌─────────────┐     ┌─────────────┐     ┌─────────────┐  │
-│   │   CLI       │     │   HTTP API  │     │   Service   │     │   External  │  │
-│   │   Layer     │────▶│   Layer     │────▶│   Layer     │────▶│   Services  │  │
-│   └─────────────┘     └─────────────┘     └─────────────┘     └─────────────┘  │
-│          │                   │                   │                   │          │
-│          │                   │                   │                   │          │
-│          ▼                   ▼                   ▼                   ▼          │
-│   ┌─────────────────────────────────────────────────────────────────────────┐   │
-│   │                         Core Modules                                     │   │
-│   │  ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐          │   │
-│   │  │ Service │ │Validator│ │ Anomaly │ │Rotation │ │ Cleanup │          │   │
-│   │  └─────────┘ └─────────┘ └─────────┘ └─────────┘ └─────────┘          │   │
-│   │  ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐          │   │
-│   │  │ Webhook │ │Encrypt  │ │Blacklist│ │ Report  │ │  Error  │          │   │
-│   │  └─────────┘ └─────────┘ └─────────┘ └─────────┘ └─────────┘          │   │
-│   └─────────────────────────────────────────────────────────────────────────┘   │
-│          │                   │                   │                              │
-│          ▼                   ▼                   ▼                              │
-│   ┌─────────────┐     ┌─────────────┐     ┌─────────────┐                      │
-│   │  PostgreSQL │     │    Redis    │     │   External  │                      │
-│   │  (Storage)  │     │   (Cache)   │     │  (Gitea/n8n)│                      │
-│   └─────────────┘     └─────────────┘     └─────────────┘                      │
-│                                                                                 │
-└─────────────────────────────────────────────────────────────────────────────────┘
-```
-
-## Module Dependencies
-
-```
-                    ┌──────────────┐
-                    │   models.rs  │
-                    │  (Types)     │
-                    └──────┬───────┘
-                           │
-        ┌──────────────────┼──────────────────┐
-        │                  │                  │
-        ▼                  ▼                  ▼
-┌───────────────┐  ┌───────────────┐  ┌───────────────┐
-│  service.rs   │  │   error.rs    │  │  validator.rs │
-│  (Core CRUD)  │  │  (Errors)     │  │  (Cache+Rate) │
-└───────┬───────┘  └───────────────┘  └───────────────┘
-        │
-        │         ┌───────────────────────────────┐
-        │         │                               │
-        ▼         ▼                               ▼
-┌───────────────┐  ┌───────────────┐  ┌───────────────┐
-│  anomaly.rs   │  │  rotation.rs  │  │  blacklist.rs │
-│  (Detection)  │  │  (Rotation)   │  │  (IP Block)   │
-└───────────────┘  └───────────────┘  └───────────────┘
-```
-
-## Request Flow
-
-```
-Client Request
-      │
-      ▼
-┌─────────────┐
-│   CLI/API   │
-└──────┬──────┘
-       │
-       ▼
-┌─────────────┐     ┌─────────────┐
-│  Rate Limit │────▶│  IP Blacklist│
-│  Check      │     │  Check      │
-└──────┬──────┘     └──────┬──────┘
-       │                   │
-       └─────────┬─────────┘
-                 │
-                 ▼
-         ┌───────────────┐
-         │  Hash API Key │
-         └───────┬───────┘
-                 │
-                 ▼
-         ┌───────────────┐     ┌───────────────┐
-         │  Cache Lookup │────▶│  PostgreSQL   │
-         └───────┬───────┘     │  Lookup       │
-                 │             └───────┬───────┘
-                 │                     │
-                 └──────────┬──────────┘
-                            │
-                            ▼
-                    ┌───────────────┐
-                    │  Validate    │
-                    │  (Status,    │
-                    │   Expiry)    │
-                    └───────┬───────┘
-                            │
-              ┌─────────────┼─────────────┐
-              │             │             │
-              ▼             ▼             ▼
-        ┌──────────┐  ┌──────────┐  ┌──────────┐
-        │  Valid   │  │ Invalid  │  │  Error   │
-        │  Response│  │ Response │  │ Response │
-        └──────────┘  └──────────┘  └──────────┘
-```
-
-## Database Schema
-
-```
-┌─────────────────────────────────────────────────────────────────┐
-│                          PostgreSQL                              │
-├─────────────────────────────────────────────────────────────────┤
-│                                                                 │
-│  ┌─────────────────┐      ┌─────────────────┐                   │
-│  │   api_keys      │      │ api_key_audit_  │                   │
-│  ├─────────────────┤      │ log             │                   │
-│  │ id              │      ├─────────────────┤                   │
-│  │ key_id          │─────▶│ id              │                   │
-│  │ key_hash        │      │ key_id (FK)     │                   │
-│  │ name            │      │ action          │                   │
-│  │ key_type        │      │ ip_address      │                   │
-│  │ status          │      │ details         │                   │
-│  │ expires_at      │      └─────────────────┘                   │
-│  │ ...             │                                            │
-│  └─────────────────┘      ┌─────────────────┐                   │
-│                           │ api_key_anomalies│                  │
-│  ┌─────────────────┐      ├─────────────────┤                   │
-│  │ gitea_tokens    │      │ id              │                   │
-│  ├─────────────────┤      │ key_id (FK)     │                   │
-│  │ id              │      │ anomaly_type    │                   │
-│  │ gitea_token_id  │      │ severity        │                   │
-│  │ token_name      │      │ details         │                   │
-│  │ scopes          │      └─────────────────┘                   │
-│  └─────────────────┘                                            │
-│                                                                 │
-│  ┌─────────────────┐                                            │
-│  │ n8n_api_keys    │                                            │
-│  ├─────────────────┤                                            │
-│  │ id              │                                            │
-│  │ n8n_key_id      │                                            │
-│  │ label           │                                            │
-│  └─────────────────┘                                            │
-│                                                                 │
-└─────────────────────────────────────────────────────────────────┘
-```
-
-## External Integrations
-
-```
-┌─────────────────────────────────────────────────────────────────────────────────┐
-│                           External Integrations                                  │
-├─────────────────────────────────────────────────────────────────────────────────┤
-│                                                                                 │
-│   ┌─────────────────┐         ┌─────────────────┐         ┌─────────────────┐  │
-│   │     Gitea       │         │       n8n       │         │     Webhook     │  │
-│   ├─────────────────┤         ├─────────────────┤         ├─────────────────┤  │
-│   │ • Create Token  │         │ • Create API Key│         │ • Key Created   │  │
-│   │ • List Tokens   │         │ • List API Keys │         │ • Key Revoked   │  │
-│   │ • Delete Token  │         │ • Delete API Key│         │ • Anomaly       │  │
-│   │ • Verify Token  │         │ • Verify        │         │ • Rate Limited  │  │
-│   └─────────────────┘         └─────────────────┘         └─────────────────┘  │
-│                                                                                 │
-└─────────────────────────────────────────────────────────────────────────────────┘
-```
-
-## Security Layers
-
-```
-┌─────────────────────────────────────────────────────────────────┐
-│                       Security Layers                           │
-├─────────────────────────────────────────────────────────────────┤
-│                                                                 │
-│  Layer 1: Network                                               │
-│  ┌─────────────────────────────────────────────────────────┐   │
-│  │ • IP Blacklist                                          │   │
-│  │ • Rate Limiting                                         │   │
-│  └─────────────────────────────────────────────────────────┘   │
-│                                                                 │
-│  Layer 2: Authentication                                        │
-│  ┌─────────────────────────────────────────────────────────┐   │
-│  │ • API Key Hash (SHA256)                                 │   │
-│  │ • Constant-time Comparison                              │   │
-│  │ • Key Validation (Status, Expiry)                       │   │
-│  └─────────────────────────────────────────────────────────┘   │
-│                                                                 │
-│  Layer 3: Monitoring                                            │
-│  ┌─────────────────────────────────────────────────────────┐   │
-│  │ • Anomaly Detection                                     │   │
-│  │ • Audit Logging (Encrypted)                             │   │
-│  │ • Webhook Notifications                                 │   │
-│  └─────────────────────────────────────────────────────────┘   │
-│                                                                 │
-└─────────────────────────────────────────────────────────────────┘
-```

docs/API_KEY_INTEGRATION_TESTS.md

@@ -1,236 +0,0 @@
-# API Key Management Integration Tests
-
-## Test Environment Setup
-
-### Prerequisites
-
-```bash
-# Start services
-sudo launchctl load /Library/LaunchDaemons/com.momentry.postgresql.plist
-sudo launchctl load /Library/LaunchDaemons/com.momentry.redis.plist
-
-# Set environment variables
-export DATABASE_URL="postgres://accusys@localhost:5432/momentry"
-export REDIS_URL="redis://:accusys@localhost:6379"
-export GITEA_URL="http://localhost:3000"
-export N8N_URL="https://n8n.momentry.ddns.net"
-```
-
-### Run Tests
-
-```bash
-# Run all unit tests
-cargo test --lib
-
-# Run API key specific tests
-cargo test --lib api_key
-
-# Run with output
-cargo test --lib -- --nocapture
-```
-
----
-
-## Test Cases
-
-### 1. API Key Creation
-
-```bash
-# Test: Create a service key
-momentry api-key create test-key --key-type service --ttl 90
-
-# Expected Output:
-# ✅ API Key created successfully!
-# Key ID: msvc_...
-# API Key: msvc_...
-# Expires: 2026-06-19
-```
-
-### 2. API Key Validation
-
-```bash
-# Test: Validate the created key
-momentry api-key validate --key "msvc_..."
-
-# Expected Output:
-# ✅ API Key is valid
-# Key ID: msvc_...
-# Name: test-key
-# Type: service
-```
-
-### 3. API Key Listing
-
-```bash
-# Test: List all keys
-momentry api-key list
-
-# Expected Output:
-# 📋 API Key List
-# ┌────────────────────────────────────────────────────────────────────────────┐
-# │ Status   │ Name                 │ Type         │ Usage    │ Last Used       │
-# ├────────────────────────────────────────────────────────────────────────────┤
-# │ ✓ active │ test-key             │ "service"    │        0 │ never           │
-# └────────────────────────────────────────────────────────────────────────────┘
-```
-
-### 4. API Key Statistics
-
-```bash
-# Test: Show statistics
-momentry api-key stats
-
-# Expected Output:
-# 📊 API Key Statistics
-# ┌─────────────────────────────────────────┐
-# │  Total Keys:          1               │
-# │  Active Keys:         1               │
-# │  Expired Keys:        0               │
-# └─────────────────────────────────────────┘
-```
-
-### 5. Gitea Token Creation
-
-```bash
-# Test: Create Gitea token
-momentry gitea create \
-  --username admin \
-  --password "Test3200Test3200Test3200" \
-  --token-name "test-token" \
-  --scopes "read:repository,write:repository"
-
-# Expected Output:
-# ✅ Gitea Token created successfully!
-# Token ID: ...
-# SHA1: ...
-```
-
-### 6. n8n API Key Creation
-
-```bash
-# Test: Create n8n API key
-momentry n8n create \
-  --api-key "existing-n8n-key" \
-  --label "test-key" \
-  --expires-in-days 90
-
-# Expected Output:
-# ✅ n8n API Key created successfully!
-# Key ID: ...
-# API Key: ...
-```
-
----
-
-## Automated Test Script
-
-```bash
-#!/bin/bash
-# integration_test.sh
-
-set -e
-
-echo "=== API Key Integration Tests ==="
-
-# 1. Create API key
-echo "1. Testing API key creation..."
-momentry api-key create integration-test --key-type service --ttl 30
-echo "✅ API key created"
-
-# 2. List keys
-echo "2. Testing API key listing..."
-momentry api-key list
-echo "✅ API key list OK"
-
-# 3. Show stats
-echo "3. Testing statistics..."
-momentry api-key stats
-echo "✅ Statistics OK"
-
-# 4. Test Gitea integration
-echo "4. Testing Gitea integration..."
-GITEA_URL="http://localhost:3000" \
-momentry gitea list --username admin --password "Test3200Test3200Test3200"
-echo "✅ Gitea integration OK"
-
-echo ""
-echo "=== All Tests Passed ==="
-```
-
----
-
-## Unit Test Coverage
-
-| Module | Tests | Status |
-|--------|-------|--------|
-| `models.rs` | 0 | ✅ |
-| `service.rs` | 5 | ✅ |
-| `validator.rs` | 2 | ✅ |
-| `gitea.rs` | 3 | ✅ |
-| `n8n.rs` | 2 | ✅ |
-| `rotation.rs` | 4 | ✅ |
-| `anomaly.rs` | 0 | ✅ |
-| `blacklist.rs` | 5 | ✅ |
-| `encryption.rs` | 2 | ✅ |
-| `webhook.rs` | 2 | ✅ |
-| `error.rs` | 3 | ✅ |
-| `report.rs` | 1 | ✅ |
-| `cleanup.rs` | 1 | ✅ |
-| **Total** | **30** | **✅** |
-
----
-
-## CI/CD Integration
-
-### GitHub Actions / Gitea Actions
-
-```yaml
-name: API Key Tests
-
-on: [push, pull_request]
-
-jobs:
-  test:
-    runs-on: ubuntu-latest
-    services:
-      postgres:
-        image: postgres:15
-        env:
-          POSTGRES_USER: accusys
-          POSTGRES_DB: momentry_test
-        ports:
-          - 5432:5432
-      redis:
-        image: redis:7
-        ports:
-          - 6379:6379
-
-    steps:
-      - uses: actions/checkout@v4
-      - uses: dtolnay/rust-toolchain@stable
-      - run: cargo test --lib api_key
-```
-
----
-
-## Troubleshooting
-
-### Common Issues
-
-1. **Database connection failed**
-   ```bash
-   # Check PostgreSQL status
-   pg_isready -h localhost -p 5432
-   ```
-
-2. **Redis connection failed**
-   ```bash
-   # Check Redis status
-   redis-cli -a accusys ping
-   ```
-
-3. **Gitea authentication failed**
-   ```bash
-   # Verify credentials
-   curl -u admin:password http://localhost:3000/api/v1/user
-   ```

docs/API_N8N_GUIDE.md

@@ -1,222 +0,0 @@
-# n8n 呼叫 Momentry API 指南
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | Warren |
-| 建立時間 | 2026-03-23 |
-| 文件版本 | V1.1 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.0 | 2026-03-23 | 創建文件 | Warren | OpenCode / MiniMax M2.5 |
-| V1.1 | 2026-03-26 | 新增 API Key 驗證說明，更新 HTTP Request Node 設定 | OpenCode | deepseek-reasoner |
-
----
-
-**用途**: 在 n8n workflow 中呼叫 Momentry API
-
----
-
-## API URL
-
-在 n8n HTTP Request Node 中，**請使用外部 URL**：
-
-```
-https://api.momentry.ddns.net
-```
-
-> ⚠️ **不要使用** `localhost:3002`，因為 n8n 需要從外部訪問 API。
-
----
-
-## 常用端點
-
-| 方法 | 端點 | 說明 |
-|------|------|------|
-| GET | `/health` | 健康檢查 |
-| POST | `/api/v1/n8n/search` | 語意搜尋（推薦） |
-| GET | `/api/v1/videos` | 列出所有影片 |
-| GET | `/api/v1/lookup` | 查詢影片 |
-| GET | `/api/v1/progress/:uuid` | 處理進度 |
-| GET | `/api/v1/jobs` | 任務列表 |
-| GET | `/api/v1/jobs/:uuid` | 任務詳情 |
-
----
-
-## HTTP Request Node 設定
-
-### 語意搜尋（推薦）
-
-```
-Node: HTTP Request
-├── URL: https://api.momentry.ddns.net/api/v1/n8n/search
-├── Method: POST
-├── Authentication: None
-├── Send Body: ✓ (checked)
-├── Content Type: JSON
-├── Body:
-│   {
-│     "query": "={{ $json.query }}",
-│     "limit": "={{ $json.limit || 10 }}"
-│   }
-├── Send Headers: ✓ (checked)
-└── Header Parameters:
-    └── X-API-Key: {{ $env.MOMENTRY_API_KEY }}
-```
-
-### 測試用（固定關鍵字）
-
-```
-Node: HTTP Request
-├── URL: https://api.momentry.ddns.net/api/v1/n8n/search
-├── Method: POST
-├── Send Body: ✓
-├── Content Type: JSON
-├── Body:
-│   {
-│     "query": "charade",
-│     "limit": 3
-│   }
-├── Send Headers: ✓ (checked)
-└── Header Parameters:
-    └── X-API-Key: {{ $env.MOMENTRY_API_KEY }}
-```
-
----
-
-## 完整 Workflow 範例
-
-### 基本搜尋 Workflow
-
-```json
-{
-  "name": "Momentry Video Search",
-  "nodes": [
-    {
-      "parameters": {},
-      "name": "Manual Trigger",
-      "type": "n8n-nodes-base.manualTrigger",
-      "position": [250, 300]
-    },
-    {
-      "parameters": {
-        "url": "https://api.momentry.ddns.net/api/v1/n8n/search",
-        "method": "POST",
-        "sendBody": true,
-        "contentType": "json",
-        "body": {
-          "query": "charade",
-          "limit": 3
-        }
-      },
-      "name": "Search Video API",
-      "type": "n8n-nodes-base.httpRequest",
-      "position": [450, 300]
-    }
-  ],
-  "connections": {
-    "Manual Trigger": {
-      "main": [[{"node": "Search Video API"}]]
-    }
-  }
-}
-```
-
----
-
-## 動態查詢 Workflow
-
-```json
-{
-  "name": "Momentry Dynamic Search",
-  "nodes": [
-    {
-      "parameters": {
-        "httpMethod": "POST",
-        "path": "search",
-        "responseMode": "lastNode"
-      },
-      "name": "Webhook",
-      "type": "n8n-nodes-base.webhook",
-      "position": [250, 300]
-    },
-    {
-      "parameters": {
-        "url": "https://api.momentry.ddns.net/api/v1/n8n/search",
-        "method": "POST",
-        "sendBody": true,
-        "contentType": "json",
-        "body": {
-          "query": "={{ JSON.stringify($json.body.query) }}",
-          "limit": "={{ $json.body.limit || 5 }}"
-        }
-      },
-      "name": "Search API",
-      "type": "n8n-nodes-base.httpRequest",
-      "position": [450, 300]
-    }
-  ],
-  "connections": {
-    "Webhook": {
-      "main": [[{"node": "Search API"}]]
-    }
-  }
-}
-```
-
----
-
-## 常見錯誤
-
-### 錯誤: 502 Bad Gateway
-
-**原因**: API 服務未啟動
-
-**解決**:
-```bash
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-```
-
-### 錯誤: "Your request is invalid"
-
-**原因**: Body 格式設定錯誤
-
-**正確設定**:
-- `Content Type`: JSON
-- `Body`: 必須是有效的 JSON 物件
-
----
-
-## curl 測試
-
-在終端機中測試 API：
-
-> **注意**: 所有 `/api/v1/*` 端點都需要 API Key 驗證。請設定環境變數或直接替換 API Key。
-
-```bash
-# 設定環境變數（使用您的 API Key）
-export MOMENTRY_API_KEY="muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69"
-```
-
-```bash
-# 健康檢查
-curl https://api.momentry.ddns.net/health
-
-# 搜尋測試 (需要 API Key)
-curl -X POST https://api.momentry.ddns.net/api/v1/n8n/search \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: $MOMENTRY_API_KEY" \
-  -d '{"query":"charade","limit":3}'
-```
-
----
-
-## 相關文件
-
-- [API_INDEX.md](./API_INDEX.md) - 文件總覽
-- [API_ENDPOINTS.md](./API_ENDPOINTS.md) - 端點完整說明
-- [N8N_HTTP_REQUEST_GUIDE.md](./N8N_HTTP_REQUEST_GUIDE.md) - HTTP Request 詳細設定

docs/API_REFERENCE.md

@@ -1,528 +0,0 @@
-# Momentry Core API 安裝指南
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | Warren |
-| 建立時間 | 2026-03-18 |
-| 文件版本 | V1.3 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.0 | 2026-03-18 | 創建文件 | Warren | OpenCode / MiniMax M2.5 |
-| V1.1 | 2026-03-23 | 更新端點與實際一致 | OpenCode | - |
-| V1.2 | 2026-03-25 | 新增快取/刪除 API | OpenCode | - |
-| V1.3 | 2026-03-26 | 修正認證聲明與API回應格式 | OpenCode | - |
-
----
-
-## Base URL
-
-| 環境 | URL | 說明 |
-|------|-----|------|
-| **本地開發** | `http://localhost:3002` | 直接訪問 API，繞過反向代理 |
-| **外部訪問** | `https://api.momentry.ddns.net` | 通過 Caddy 反向代理訪問，需網路可達 |
-
-> **Note:** Port 3000 is used by Gitea. Momentry API server runs on **port 3002**.
-
-### URL 使用時機
-
-| 情境 | 建議 URL |
-|------|----------|
-| 本地開發/測試 | `http://localhost:3002` |
-| n8n workflow | `https://api.momentry.ddns.net` |
-| 外部系統整合 | `https://api.momentry.ddns.net` |
-| 反向代理有問題時 | `http://localhost:3002` (繞過代理) |
-
-## Authentication
-
-**API Key 認證：**
-
-所有 `/api/v1/*` 端點需要 `X-API-Key` header 進行認證。
-
-**公開端點：**
-- `GET /health` - 健康檢查
-- `GET /health/detailed` - 詳細健康檢查
-
-**認證格式：**
-```bash
-curl -H "X-API-Key: YOUR_API_KEY" http://localhost:3002/api/v1/videos
-```
-
-**API Key 管理：**
-- 使用 `/api/v1/api-keys` 端點管理 API Keys
-- 詳細說明請參考 [API Key Management Guide](../docs/API_KEY_MANAGEMENT.md)
-
----
-
-## Endpoints
-
-### 1. Register Video
-Register a video file to the system.
-
-**Endpoint:** `POST /api/v1/register`
-
-**Request Body:**
-```json
-{
-  "path": "/path/to/video.mp4"
-}
-```
-
-| Field | Type | Required | Description |
-|-------|------|----------|-------------|
-| `path` | string | Yes | Absolute path to video file |
-
-**Response (200):**
-```json
-{
-  "uuid": "5dea6618a606e7c7",
-  "video_id": 1,
-  "job_id": 10,
-  "file_name": "video.mp4",
-  "duration": 120.5,
-  "width": 1920,
-  "height": 1080,
-  "already_exists": false
-}
-```
-
-**Example:**
-```bash
-curl -X POST http://localhost:3002/api/v1/register \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{"path": "/Users/accusys/test_video/BigBuckBunny_320x180.mp4"}'
-```
-
----
-
-### 2. Process Video (CLI)
-Process video to generate ASR, CUT, YOLO, OCR, Face, Pose data.
-
-**Note:** This is a CLI command, not an HTTP endpoint.
-
-```bash
-# Process video by UUID
-cargo run --bin momentry -- process 5dea6618a606e7c7
-
-# Or process by file path
-cargo run --bin momentry -- process /path/to/video.mp4
-```
-
----
-
-### 3. Get Progress
-Get real-time processing progress via Redis.
-
-**Endpoint:** `GET /api/v1/progress/:uuid`
-
-| Parameter | Type | Description |
-|-----------|------|-------------|
-| `uuid` | path | Video UUID (16 characters) |
-
-**Response (200):**
-```json
-{
-  "uuid": "5dea6618a606e7c7",
-  "processors": [
-    {
-      "name": "asr",
-      "status": "complete",
-      "current": 0,
-      "total": 0,
-      "message": "7 segments"
-    },
-    {
-      "name": "cut",
-      "status": "complete",
-      "current": 134,
-      "total": 134,
-      "message": "134 scenes"
-    },
-    {
-      "name": "yolo",
-      "status": "progress",
-      "current": 5000,
-      "total": 14315,
-      "message": "frame 5000"
-    },
-    {
-      "name": "ocr",
-      "status": "pending",
-      "current": 0,
-      "total": 0,
-      "message": ""
-    }
-  ]
-}
-```
-
-**Processor Status Values:**
-- `pending` - Not started
-- `info` - Starting/info message
-- `progress` - In progress
-- `complete` - Finished
-- `error` - Failed
-
-**Example:**
-```bash
-# Get progress for specific video
-curl -H "X-API-Key: YOUR_API_KEY" http://localhost:3002/api/v1/progress/5dea6618a606e7c7
-```
-
----
-
-### 4. Natural Language Search
-Search video chunks using natural language queries (RAG).
-
-**Endpoint:** `POST /api/v1/search`
-
-**Request Body:**
-```json
-{
-  "query": "What is the person saying about machine learning?",
-  "limit": 10,
-  "uuid": "5dea6618a606e7c7"
-}
-```
-
-| Field | Type | Required | Description |
-|-------|------|----------|-------------|
-| `query` | string | Yes | Natural language search query |
-| `limit` | integer | No | Max results (default: 10) |
-| `uuid` | string | No | Filter by specific video UUID |
-
-**Response (200):**
-```json
-{
-  "results": [
-    {
-      "uuid": "5dea6618a606e7c7",
-      "chunk_id": "0",
-      "chunk_type": "sentence",
-      "start_time": 5.5,
-      "end_time": 8.2,
-      "text": "Machine learning is a subset of artificial intelligence...",
-      "score": 0.85
-    }
-  ],
-  "query": "What is the person saying about machine learning?"
-}
-```
-
-**Example:**
-```bash
-curl -X POST http://localhost:3002/api/v1/search \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{"query": "machine learning", "limit": 5}'
-```
-
----
-
-### 4a. N8N Search (n8n Workflow Integration)
-N8n-compatible search endpoint with standardized response format for direct workflow integration.
-
-**Endpoint:** `POST /api/v1/n8n/search`
-
-**Request Body:**
-```json
-{
-  "query": "sunset",
-  "limit": 10,
-  "uuid": "5dea6618a606e7c7"
-}
-```
-
-| Field | Type | Required | Description |
-|-------|------|----------|-------------|
-| `query` | string | Yes | Natural language search query |
-| `limit` | integer | No | Max results (default: 10) |
-| `uuid` | string | No | Filter by specific video UUID |
-
-**Response (200):**
-```json
-{
-  "query": "sunset",
-  "count": 2,
-  "hits": [
-    {
-      "id": "c_001",
-      "vid": "5dea6618a606e7c7",
-      "start": 5.5,
-      "end": 8.2,
-      "title": "Sunset Scene",
-      "text": "The sun slowly sets over the ocean...",
-      "score": 0.92,
-      "file_path": "/Users/accusys/momentry/var/sftpgo/data/demo/video.mp4"
-    }
-  ]
-}
-```
-
-| Field | Type | Description |
-|-------|------|-------------|
-| `query` | string | Original search query |
-| `count` | integer | Number of results |
-| `hits[].id` | string | Chunk ID |
-| `hits[].vid` | string | Video UUID |
-| `hits[].start` | number | Start time in seconds |
-| `hits[].end` | number | End time in seconds |
-| `hits[].title` | string | Chunk title (from metadata or auto-generated) |
-| `hits[].text` | string | Text content |
-| `hits[].score` | number | Relevance score (0-1) |
-| `hits[].file_path` | string | Full file path to video file |
-
-**Example:**
-```bash
-curl -X POST http://localhost:3002/api/v1/n8n/search \
-  -H "Content-Type: application/json" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -d '{"query": "sunset", "limit": 5}'
-```
-
-**Environment Variables:**
-| Variable | Default | Description |
-|----------|---------|-------------|
-| `MOMENTRY_MEDIA_BASE_URL` | `https://wp.momentry.ddns.net` | Base URL for constructing media URLs |
-
----
-
-### 5. Lookup Video
-Lookup video UUID by path or get video details by UUID.
-
-**Endpoint:** `GET /api/v1/lookup`
-
-| Parameter | Type | Required | Description |
-|-----------|------|----------|-------------|
-| `path` | query | No* | Video file path |
-| `uuid` | query | No* | Video UUID |
-
-*One of `path` or `uuid` is required.
-
-**Response (200):**
-```json
-{
-  "uuid": "5dea6618a606e7c7",
-  "file_path": "/path/to/video.mp4",
-  "file_name": "video.mp4",
-  "duration": 120.5
-}
-```
-
-**Example:**
-```bash
-# Lookup by path
-curl -H "X-API-Key: YOUR_API_KEY" "http://localhost:3002/api/v1/lookup?path=/path/to/video.mp4"
-
-# Lookup by UUID
-curl -H "X-API-Key: YOUR_API_KEY" "http://localhost:3002/api/v1/lookup?uuid=5dea6618a606e7c7"
-```
-
----
-
-### 6. List Videos
-List all registered videos.
-
-**Endpoint:** `GET /api/v1/videos`
-
-**Response (200):**
-```json
-{
-  "videos": [
-    {
-      "uuid": "5dea6618a606e7c7",
-      "file_path": "/path/to/video.mp4",
-      "file_name": "video.mp4",
-      "duration": 120.5,
-      "width": 1920,
-      "height": 1080
-    }
-  ]
-}
-```
-
-**Example:**
-```bash
-curl -H "X-API-Key: YOUR_API_KEY" http://localhost:3002/api/v1/videos
-```
-
----
-
-## Data Flow
-
-```
-┌─────────────────────────────────────────────────────────────────────┐
-│                         完整工作流程                                   │
-└─────────────────────────────────────────────────────────────────────┘
-
-1. Register Video
-   POST /api/v1/register
-   └── UUID: 5dea6618a606e7c7
-
-2. Process Video (CLI)
-   cargo run -- process 5dea6618a606e7c7
-   ├── ASR (WhisperX)        → 7 segments
-   ├── CUT (PySceneDetect)   → 134 scenes
-   ├── YOLO (YOLOv8)         → 10483 frames with objects
-   ├── OCR (EasyOCR)         → 40 frames with text
-   ├── Face (OpenCV)         → 44 frames with faces
-   └── Pose (YOLOv8-Pose)    → 14315 frames
-
-3. Monitor Progress (Real-time)
-   GET /api/v1/progress/:uuid
-   └── Redis Pub/Sub + Hash
-
-4. Chunk (CLI)
-   cargo run -- chunk 5dea6618a606e7c7
-   └── Create chunks in database
-
-5. Vectorize (CLI)
-   cargo run -- vectorize 5dea6618a606e7c7
-   └── Generate embeddings in Qdrant
-
-6. Search (API)
-   POST /api/v1/search
-   └── Natural language query
-```
-
----
-
-## Processor Reference
-
-| Processor | Model | Description |
-|-----------|-------|-------------|
-| **ASR** | WhisperX (faster-whisper) | Speech recognition + diarization |
-| **CUT** | PySceneDetect | Scene detection/segmentation |
-| **ASRX** | WhisperX | Speaker diarization |
-| **YOLO** | YOLOv8n | Object detection |
-| **OCR** | EasyOCR | Text recognition |
-| **Face** | OpenCV Haar Cascade | Face detection |
-| **Pose** | YOLOv8n-Pose | Pose estimation |
-
----
-
-## Cache Toggle
-
-Toggle caching at runtime.
-
-**Endpoint:** `POST /api/v1/config/cache`
-
-**Request Body:**
-```json
-{
-  "enabled": true
-}
-```
-
-| Field | Type | Required | Description |
-|-------|------|----------|-------------|
-| `enabled` | boolean | Yes | Enable (true) or disable (false) cache |
-
-**Response (200):**
-```json
-{
-  "cache_enabled": true,
-  "message": "Cache toggled successfully"
-}
-```
-
----
-
-## Unregister Video
-
-Delete a video and all associated data (chunks, processor results, thumbnails).
-
-**Endpoint:** `POST /api/v1/unregister`
-
-**Request Body:**
-```json
-{
-  "uuid": "5dea6618a606e7c7"
-}
-```
-
-| Field | Type | Required | Description |
-|-------|------|----------|-------------|
-| `uuid` | string | Yes | Video UUID (16 character hex) |
-
-**Response (200):**
-```json
-{
-  "success": true,
-  "message": "Video unregistered successfully",
-  "uuid": "5dea6618a606e7c7"
-}
-```
-
-**Warning:** This operation is irreversible and will delete all associated chunks, processor results, and thumbnails.
-
----
-
-## Error Responses
-
-**400 Bad Request**
-```json
-{
-  "error": "Invalid request body"
-}
-```
-
-**404 Not Found**
-```json
-{
-  "error": "Resource not found"
-}
-```
-
-**500 Internal Server Error**
-```json
-{
-  "error": "Internal server error"
-}
-```
-
----
-
-## Environment Variables
-
-| Variable | Default | Description |
-|----------|---------|-------------|
-| `DATABASE_URL` | `postgres://accusys@localhost:5432/momentry` | PostgreSQL connection |
-| `REDIS_URL` | `redis://localhost:6379` | Redis connection |
-| `REDIS_PASSWORD` | `accusys` | Redis password |
-| `QDRANT_URL` | `http://localhost:6333` | Qdrant vector DB URL |
-| `QDRANT_API_KEY` | - | Qdrant API key |
-| `QDRANT_COLLECTION` | `chunks` | Qdrant collection name |
-| `MOMENTRY_MEDIA_BASE_URL` | `https://wp.momentry.ddns.net` | Base URL for n8n search media URLs |
-
----
-
-## Starting the Server
-
-```bash
-# Default (port 3002, since 3000 is Gitea)
-cargo run --bin momentry -- server
-
-# Custom host and port
-cargo run --bin momentry -- server --host 127.0.0.1 --port 3002
-```
-
----
-
-## Quick Reference
-
-| Task | Command |
-|------|---------|
-| Register video | `POST /api/v1/register` |
-| Process video | `cargo run -- process <uuid>` |
-| Check progress | `GET /api/v1/progress/<uuid>` |
-| Search | `POST /api/v1/search` |
-| List videos | `GET /api/v1/videos` |
-| Lookup | `GET /api/v1/lookup?uuid=<uuid>` |
-| Toggle cache | `POST /api/v1/config/cache` |
-| Delete video | `POST /api/v1/unregister` |

docs/API_WORDPRESS_GUIDE.md

@@ -1,325 +0,0 @@
-# WordPress 呼叫 Momentry API 指南
-
-| 項目 | 內容 |
-|------|------|
-| 版本 | V1.1 |
-| 日期 | 2026-03-25 |
-| 用途 | 在 WordPress 中呼叫 Momentry API |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.1 | 2026-03-25 | 更新: n8n 搜尋回傳 `file_path` 取代 `media_url`，新增 API Key 驗證說明 | OpenCode | deepseek-reasoner |
-| V1.0 | 2026-03-23 | 創建 WordPress API 指南 | Warren | OpenCode / MiniMax M2.5 |
-
----
-
-## API URL
-
-在 WordPress 中呼叫 API，**請使用外部 URL**：
-
-```
-https://api.momentry.ddns.net
-```
-
-> ⚠️ WordPress 運行於瀏覽器端，無法直接訪問 `localhost`。
-
----
-
-## API 認證
-
-所有 `/api/v1/*` 端點（除了健康檢查）都需要 API Key 認證。請在請求標頭中加入：
-
-```
-'headers' => ['Content-Type' => 'application/json', 'X-API-Key' => 'YOUR_API_KEY']
-```
-
-**目前示範使用的 API Key**: `demo_api_key_12345`
-
-> **注意**: 正式環境請使用安全的 API Key 管理機制，避免在客戶端 JavaScript 中暴露 API Key。
-
----
-
-## 常用端點
-
-| 方法 | 端點 | 說明 |
-|------|------|------|
-| GET | `/health` | 健康檢查 |
-| POST | `/api/v1/search` | 語意搜尋（標準格式） |
-| GET | `/api/v1/videos` | 列出所有影片 |
-| GET | `/api/v1/lookup` | 查詢影片 |
-
----
-
-## PHP 範例
-
-### 基本搜尋
-
-```php
-<?php
-$api_url = 'https://api.momentry.ddns.net/api/v1/n8n/search';
-
-$data = [
-    'query' => 'charade',
-    'limit' => 10
-];
-
-$response = wp_remote_post($api_url, [
-    'headers' => ['Content-Type' => 'application/json', 'X-API-Key' => 'YOUR_API_KEY'],
-    'body'    => json_encode($data),
-    'timeout' => 30
-]);
-
-if (is_wp_error($response)) {
-    echo '錯誤: ' . $response->get_error_message();
-} else {
-    $body = json_decode(wp_remote_retrieve_body($response), true);
-    print_r($body['hits']);
-}
-?>
-```
-
-### 列出所有影片
-
-```php
-<?php
-$api_url = 'https://api.momentry.ddns.net/api/v1/videos';
-
-$response = wp_remote_get($api_url, [
-    'headers' => ['X-API-Key' => 'YOUR_API_KEY'],
-    'timeout' => 30
-]);
-
-if (!is_wp_error($response)) {
-    $body = json_decode(wp_remote_retrieve_body($response), true);
-    foreach ($body['videos'] as $video) {
-        echo $video['file_name'] . "\n";
-    }
-}
-?>
-```
-
-### 查詢特定影片
-
-```php
-<?php
-$uuid = '5dea6618a606e7c7';
-$api_url = 'https://api.momentry.ddns.net/api/v1/lookup?uuid=' . $uuid;
-
-$response = wp_remote_get($api_url, [
-    'headers' => ['X-API-Key' => 'YOUR_API_KEY'],
-    'timeout' => 30
-]);
-
-if (!is_wp_error($response)) {
-    $video = json_decode(wp_remote_retrieve_body($response), true);
-    echo '檔案: ' . $video['file_name'] . "\n";
-    echo '時長: ' . $video['duration'] . ' 秒';
-}
-?>
-```
-
----
-
-## JavaScript 範例
-
-### 使用 fetch
-
-```javascript
-// 搜尋影片
-async function searchVideos(query, limit = 10) {
-    const response = await fetch('https://api.momentry.ddns.net/api/v1/n8n/search', {
-        method: 'POST',
-        headers: { 'Content-Type': 'application/json', 'X-API-Key': 'YOUR_API_KEY' },
-        body: JSON.stringify({ query, limit })
-    });
-    
-    if (!response.ok) {
-        throw new Error('API 請求失敗');
-    }
-    
-    return await response.json();
-}
-
-// 使用範例
-searchVideos('charade', 5)
-    .then(data => {
-        data.hits.forEach(hit => {
-            console.log(`${hit.text} (score: ${hit.score})`);
-        });
-    });
-```
-
----
-
-## WordPress Shortcode 範例
-
-在 `functions.php` 中註冊短碼：
-
-```php
-<?php
-// 將文件路徑轉換為可訪問的 URL
-function convert_file_path_to_url($file_path) {
-    // 範例: 將 SFTPGo 文件路徑轉換為 web URL
-    // /Users/accusys/momentry/var/sftpgo/data/demo/video.mp4
-    // → https://sftpgo.example.com/demo/video.mp4
-    
-    // 移除基本路徑
-    $base_path = '/Users/accusys/momentry/var/sftpgo/data/';
-    if (strpos($file_path, $base_path) === 0) {
-        $relative_path = substr($file_path, strlen($base_path));
-        // 替換為實際的 SFTPGo web URL
-        return 'https://sftpgo.example.com/' . $relative_path;
-    }
-    
-    // 如果無法轉換，返回原始路徑
-    return $file_path;
-}
-
-// 註冊短碼
-add_shortcode('momentry_search', function($atts) {
-    $atts = shortcode_atts([
-        'query' => '',
-        'limit' => '10'
-    ], $atts);
-    
-    if (empty($atts['query'])) {
-        return '<p>請提供搜尋關鍵字</p>';
-    }
-    
-    $response = wp_remote_post('https://api.momentry.ddns.net/api/v1/n8n/search', [
-        'headers' => [
-            'Content-Type' => 'application/json',
-            'X-API-Key' => 'YOUR_API_KEY'  // 替換為實際的 API Key
-        ],
-        'body'    => json_encode([
-            'query' => $atts['query'],
-            'limit' => (int)$atts['limit']
-        ]),
-        'timeout' => 30
-    ]);
-    
-    if (is_wp_error($response)) {
-        return '<p>搜尋服務暫時無法使用</p>';
-    }
-    
-    $data = json_decode(wp_remote_retrieve_body($response), true);
-    
-    if (empty($data['hits'])) {
-        return '<p>找不到相關結果</p>';
-    }
-    
-    $output = '<ul class="momentry-results">';
-    foreach ($data['hits'] as $hit) {
-        // 注意: API 現在返回 file_path 而非 media_url
-        // 需要將文件路徑轉換為可訪問的 URL
-        $file_path = $hit['file_path'];
-        $video_url = convert_file_path_to_url($file_path); // 需要實作此函數
-        
-        $output .= sprintf(
-            '<li>%s <a href="%s?start=%s">播放</a></li>',
-            esc_html($hit['text']),
-            $video_url,
-            $hit['start']
-        );
-    }
-    $output .= '</ul>';
-    
-    return $output;
-});
-?>
-```
-
-**使用方式**:
-```
-[momentry_search query="charade" limit="5"]
-```
-
----
-
-## REST API Endpoint (WP >= 5.0)
-
-在 WordPress REST API 中註冊自定義端點：
-
-```php
-<?php
-// 註冊 REST API 端點
-add_action('rest_api_init', function() {
-    register_rest_route('momentry/v1', '/search', [
-        'methods'  => 'POST',
-        'callback' => function($request) {
-            $response = wp_remote_post(
-                'https://api.momentry.ddns.net/api/v1/n8n/search',
-                [
-                    'headers' => ['Content-Type' => 'application/json', 'X-API-Key' => 'YOUR_API_KEY'],
-                    'body'    => json_encode([
-                        'query' => $request->get_param('query'),
-                        'limit' => $request->get_param('limit', 10)
-                    ])
-                ]
-            );
-            
-            if (is_wp_error($response)) {
-                return new WP_Error('api_error', 'API 請求失敗');
-            }
-            
-            return json_decode(wp_remote_retrieve_body($response));
-        }
-    ]);
-});
-?>
-```
-
-**呼叫方式**:
-```
-POST /wp-json/momentry/v1/search
-Body: {"query": "charade", "limit": 5}
-```
-
----
-
-## 常見錯誤
-
-### 錯誤: cURL error 7
-
-**原因**: 無法連接到 API
-
-**檢查**:
-1. API 服務是否啟動
-2. 網路是否可達
-
-### 錯誤: 502 Bad Gateway
-
-**原因**: API 服務未啟動
-
-**解決**:
-```bash
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-```
-
----
-
-## curl 測試
-
-在終端機中測試：
-
-```bash
-# 健康檢查
-curl https://api.momentry.ddns.net/health
-
-# 搜尋測試
-curl -X POST https://api.momentry.ddns.net/api/v1/n8n/search \
-  -H "Content-Type: application/json" \
-  -d '{"query":"charade","limit":5}'
-```
-
----
-
-## 相關文件
-
-- [API_INDEX.md](./API_INDEX.md) - 文件總覽
-- [API_ENDPOINTS.md](./API_ENDPOINTS.md) - 端點完整說明
-- [API_N8N_GUIDE.md](./API_N8N_GUIDE.md) - n8n 使用範例

docs/API_WORKFLOW_WORDPRESS_N8N.md

@@ -1,461 +0,0 @@
-# Momentry API 使用流程
-
-> **目標**: 從影片上傳到搜尋的完整流程  
-> **適用**: WordPress / n8n 整合  
-> **版本**: V1.0 | **日期**: 2026-03-25
-
----
-
-## 流程總覽
-
-```
-┌─────────────┐    ┌─────────────┐    ┌─────────────┐    ┌─────────────┐    ┌─────────────┐
-│  1. 上傳    │ →  │  2. 註冊    │ →  │  3. 確認    │ →  │  4. 處理    │ →  │  5. 搜尋    │
-│  SFTPGo     │    │  自動完成    │    │  UUID       │    │  查詢進度   │    │  測試       │
-└─────────────┘    └─────────────┘    └─────────────┘    └─────────────┘    └─────────────┘
-```
-
----
-
-## Step 1: 上傳影片
-
-### 方式 A: SFTP 上傳（推薦）
-
-```bash
-# 連線資訊
-主機: sftpgo.momentry.ddns.net
-連接埠: 2022
-用戶名: demo
-密碼: demopassword123
-```
-
-使用 FileZilla 或 SFTP 客戶端上傳到 `/` 目錄
-
-### 方式 B: SFTP 命令列
-
-```bash
-sshpass -p "demopassword123" sftp -P 2022 demo@sftpgo.momentry.ddns.net
-```
-
-上傳後確認檔案在 SFTPGo 中的位置
-
----
-
-## Step 2: 自動註冊
-
-上傳後，系統會自動：
-1. 偵測新檔案
-2. 計算 UUID（SHA256）
-3. 建立資料庫記錄
-
-**無需手動操作**
-
----
-
-## Step 3: 確認註冊成功
-
-### 查詢所有影片
-
-```bash
-curl -s -H "X-API-Key: YOUR_API_KEY" \
-  "https://api.momentry.ddns.net/api/v1/videos" | jq '.videos | length'
-```
-
-### 查詢特定檔案
-
-```bash
-curl -s -H "X-API-Key: YOUR_API_KEY" \
-  "https://api.momentry.ddns.net/api/v1/videos" | jq '.videos[] | select(.file_name | contains("你的檔案名"))'
-```
-
-### 預期回應
-
-```json
-{
-  "uuid": "952f5854b9febad1",
-  "file_path": "/Users/accusys/momentry/var/sftpgo/data/demo/你的檔案.mp4",
-  "file_name": "你的檔案.mp4",
-  "duration": 123.45,
-  "width": 1920,
-  "height": 1080
-}
-```
-
-**確認要點**:
-- ✅ UUID 已產生（16位 hex）
-- ✅ `file_path` 正確
-- ✅ `duration` > 0
-
----
-
-## Step 4: 查詢處理進度
-
-### 取得任務 UUID
-
-```bash
-# 從影片資訊取得 job_id
-curl -s -H "X-API-Key: YOUR_API_KEY" \
-  "https://api.momentry.ddns.net/api/v1/videos" | \
-  jq '.videos[] | select(.file_name == "你的檔案.mp4") | {uuid, job_id}'
-```
-
-### 查詢任務狀態
-
-```bash
-curl -s -H "X-API-Key: YOUR_API_KEY" \
-  "https://api.momentry.ddns.net/api/v1/jobs/{uuid}"
-```
-
-### 任務狀態說明
-
-| status | 說明 | 動作 |
-|--------|------|------|
-| `pending` | 等待處理 | 等待中 |
-| `processing` | 處理中 | 繼續輪詢 |
-| `completed` | 已完成 | 可進入 Step 5 |
-| `failed` | 處理失敗 | 檢查錯誤 |
-
-### n8n 輪詢範例
-
-```javascript
-// n8n Workflow: 檢查處理狀態
-const jobUuid = $input.item.json.job_uuid;
-
-const response = await fetch(
-  `https://api.momentry.ddns.net/api/v1/jobs/${jobUuid}`,
-  {
-    headers: {
-      "X-API-Key": "YOUR_API_KEY"
-    }
-  }
-);
-
-const job = await response.json();
-
-// 狀態檢查
-if (job.status === 'completed') {
-  return [{ json: { done: true, video_uuid: job.video_uuid } }];
-} else {
-  return [{ json: { done: false, status: job.status } }];
-}
-```
-
----
-
-## Step 5: 搜尋測試
-
-處理完成後，資料會入庫到向量資料庫，可進行搜尋測試。
-
-### 測試向量搜尋
-
-```bash
-curl -s -X POST "https://api.momentry.ddns.net/api/v1/search" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -H "Content-Type: application/json" \
-  -d '{
-    "query": "測試關鍵字",
-    "limit": 5
-  }'
-```
-
-### 取得分段（Chunk）內容
-
-搜尋結果會返回影片分段（Chunk），包含可播放的時間軸資訊：
-
-```json
-{
-  "results": [
-    {
-      "uuid": "39567a0eb16f39fd",
-      "chunk_id": "sentence_1471",
-      "chunk_type": "sentence",
-      "start_time": 5309.08,
-      "end_time": 5311.08,
-      "text": "influenced by a vital way,",
-      "score": 0.68
-    }
-  ]
-}
-```
-
-**Chunk 欄位說明**:
-| 欄位 | 說明 |
-|------|------|
-| `uuid` | 影片 UUID（用於取得影片網址） |
-| `chunk_id` | 分段 ID |
-| `chunk_type` | 分段類型（sentence/cut/time/trace/story） |
-| `start_time` | 開始時間（秒） |
-| `end_time` | 結束時間（秒） |
-| `text` | 語音內容文字 |
-| `score` | 相似度分數（0-1） |
-
-### 播放分段
-
-取得 Chunk 後可組合成播放網址：
-
-```
-影片網址?start={start_time}&end={end_time}
-```
-
-範例：
-```
-https://wp.momentry.ddns.net/video.mp4?start=5309.08&end=5311.08
-```
-
----
-
-## 完整 n8n Workflow 範例
-
-```
-┌──────────────┐
-│  觸發 (定時)  │
-└──────┬───────┘
-       ▼
-┌──────────────┐     ┌──────────────┐
-│  查詢影片     │────►│  比對新檔案   │
-│  /videos     │     │              │
-└──────┬───────┘     └──────────────┘
-       │                   │
-       ▼                   ▼
-┌──────────────┐     ┌──────────────┐
-│  等待處理     │◄────│  輪詢任務狀態  │
-│  /jobs/:uuid │     │  /jobs/:uuid │
-└──────┬───────┘     └──────────────┘
-       │
-       ▼ (completed)
-┌──────────────┐
-│  搜尋測試     │
-│  /search     │
-└──────────────┘
-```
-
----
-
-## 快速參考
-
-| 步驟 | API | 用途 |
-|------|-----|------|
-| 查詢影片 | `GET /api/v1/videos` | 確認上傳成功 |
-| 查詢任務 | `GET /api/v1/jobs/:uuid` | 查看處理進度 |
-| 搜尋內容 | `POST /api/v1/search` | 測試搜尋功能 |
-
----
-
-## WordPress PHP 範例
-
-### 基本設定
-
-```php
-<?php
-class Momentry_API {
-    private const API_URL = 'https://api.momentry.ddns.net';
-    private const API_KEY = 'YOUR_API_KEY';
-
-    public static function request(string $method, string $endpoint, ?array $data = null): array {
-        $url = self::API_URL . $endpoint;
-        
-        $args = [
-            'method'      => $method,
-            'headers'     => [
-                'X-API-Key'    => self::API_KEY,
-                'Content-Type' => 'application/json',
-            ],
-            'timeout'     => 30,
-        ];
-
-        if ($data !== null) {
-            $args['body'] = json_encode($data);
-        }
-
-        $response = wp_remote_request($url, $args);
-        
-        if (is_wp_error($response)) {
-            throw new Exception($response->get_error_message());
-        }
-
-        return json_decode(wp_remote_retrieve_body($response), true);
-    }
-
-    public static function getVideos(): array {
-        return self::request('GET', '/api/v1/videos');
-    }
-
-    public static function getVideo(string $uuid): array {
-        return self::request('GET', "/api/v1/videos/{$uuid}");
-    }
-
-    public static function getJob(string $uuid): array {
-        return self::request('GET', "/api/v1/jobs/{$uuid}");
-    }
-
-    public static function search(string $query, int $topK = 5): array {
-        return self::request('POST', '/api/v1/search', [
-            'query' => $query,
-            'top_k' => $topK,
-        ]);
-    }
-}
-```
-
-### Step 3: 確認註冊成功
-
-```php
-<?php
-// 查詢所有影片
-$videos = Momentry_API::getVideos();
-
-foreach ($videos['videos'] as $video) {
-    echo "UUID: " . $video['uuid'] . "\n";
-    echo "檔案: " . $video['file_name'] . "\n";
-    echo "時長: " . $video['duration'] . " 秒\n";
-    echo "---\n";
-}
-
-// 查詢特定影片
-$video = Momentry_API::getVideo('952f5854b9febad1');
-print_r($video);
-```
-
-### Step 4: 查詢處理進度
-
-```php
-<?php
-// 取得任務狀態
-$job = Momentry_API::getJob('9760d0820f0cf9a7');
-
-switch ($job['status']) {
-    case 'pending':
-        echo "等待處理中...\n";
-        break;
-    case 'processing':
-        echo "處理中: " . $job['progress'] . "%\n";
-        break;
-    case 'completed':
-        echo "處理完成！\n";
-        break;
-    case 'failed':
-        echo "處理失敗: " . ($job['error'] ?? '未知錯誤') . "\n";
-        break;
-}
-```
-
-### Step 5: 搜尋內容並取得 Chunk
-
-```php
-<?php
-// 搜尋相關片段
-$results = Momentry_API::search('測試關鍵字', 5);
-
-foreach ($results['results'] as $result) {
-    echo "影片 UUID: " . $result['uuid'] . "\n";
-    echo "Chunk ID: " . $result['chunk_id'] . "\n";
-    echo "類型: " . $result['chunk_type'] . "\n";
-    echo "開始: " . $result['start_time'] . "s\n";
-    echo "結束: " . $result['end_time'] . "s\n";
-    echo "內容: " . ($result['text'] ?? '') . "\n";
-    echo "相似度: " . $result['score'] . "\n";
-    echo "---\n";
-}
-```
-
-### WordPress Shortcode 範例（可點擊播放）
-
-```php
-<?php
-// 在 functions.php 中加入
-add_shortcode('momentry_search', function($atts) {
-    $atts = shortcode_atts([
-        'query'   => '',
-        'limit'   => 10,
-    ], $atts);
-
-    if (empty($atts['query'])) {
-        return '<p>請輸入搜尋關鍵字</p>';
-    }
-
-    try {
-        $results = Momentry_API::search($atts['query'], $atts['limit']);
-        
-        if (empty($results['results'])) {
-            return '<p>找不到相關結果</p>';
-        }
-
-        $html = '<div class="momentry-results">';
-        $html .= '<h3>搜尋結果: ' . esc_html($atts['query']) . '</h3>';
-        $html .= '<ul>';
-
-        foreach ($results['results'] as $result) {
-            $video_uuid = $result['uuid'];
-            $start = $result['start_time'] ?? 0;
-            $end = $result['end_time'] ?? 0;
-            $text = $result['text'] ?? '無文字描述';
-            
-            $html .= '<li>';
-            $html .= '<a href="/player?uuid=' . esc_attr($video_uuid) . 
-                     '&start=' . esc_attr($start) . 
-                     '&end=' . esc_attr($end) . '">';
-            $html .= '播放 ' . $start . 's - ' . $end . 's';
-            $html .= '</a>';
-            $html .= '<br>';
-            $html .= '<small>相似度: ' . round($result['score'] * 100) . '%</small>';
-            $html .= '<br>';
-            $html .= esc_html($text);
-            $html .= '</li>';
-        }
-
-        $html .= '</ul></div>';
-        return $html;
-
-    } catch (Exception $e) {
-        return '<p>搜尋服務暫時無法使用</p>';
-    }
-});
-```
-
-**使用方式**:
-```html
-[momentry_search query="關鍵字" limit="5"]
-```
-
----
-
-## 完整 n8n Workflow 範例
-
-```
-┌──────────────┐
-│  觸發 (定時)  │
-└──────┬───────┘
-       ▼
-┌──────────────┐     ┌──────────────┐
-│  查詢影片     │────►│  比對新檔案   │
-│  /videos     │     │              │
-└──────┬───────┘     └──────────────┘
-       │                   │
-       ▼                   ▼
-┌──────────────┐     ┌──────────────┐
-│  等待處理     │◄────│  輪詢任務狀態  │
-│  /jobs/:uuid │     │  /jobs/:uuid │
-└──────┬───────┘     └──────────────┘
-       │
-       ▼ (completed)
-┌──────────────┐
-│  搜尋測試     │
-│  /search     │
-└──────────────┘
-```
-
----
-
-**注意**: 
-- 處理時間視影片長度而定（1分鐘影片約需 2-5 分鐘處理）
-- 大量影片時建議分批上傳
-
----
-
-## 附錄：版本歷史
-
-| 版本 | 日期 | 內容 | 操作人 |
-|------|------|------|--------|
-| V1.0 | 2026-03-25 | 初版建立 | OpenCode |
-| V1.1 | 2026-03-25 | 新增 Chunk 取得與播放說明、Shortcode 範例 | OpenCode |
-| V1.2 | 2026-03-25 | 修正 SFTPGo 主機名稱為 sftpgo.momentry.ddns.net | OpenCode |

docs/ARCHITECTURE_EVALUATION.md

@@ -1,331 +0,0 @@
-# 架構優化待評估事項
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | OpenCode |
-| 建立時間 | 2026-03-21 |
-| 文件版本 | V1.0 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 |
-|------|------|------|--------|
-| V1.0 | 2026-03-21 | 創建文件 | OpenCode |
-| V1.1 | 2026-03-22 | 新增 TigerGraph/GraphRAG 說故事評估 | OpenCode |
-
----
-
-## 架構優化項目
-
-### 1. PostgreSQL → Redis 故障轉移
-
-**說明**: 當 PostgreSQL 不可用時，降級到 Redis 作為臨時存儲
-
-**複雜度**: 中
-
-**影響範圍**:
-- `src/core/db/postgres_db.rs`
-- `src/core/db/redis_client.rs`
-
-**風險**:
-- 數據一致性問題
-- 需要定義轉移策略
-
-**優先級**: 待評估
-
----
-
-### 2. 連接池監控
-
-**說明**: 添加 PostgreSQL 和 Redis 連接池指標到 Prometheus
-
-**複雜度**: 低
-
-**影響範圍**:
-- `src/core/db/postgres_db.rs`
-- `src/core/db/redis_client.rs`
-- `src/api/` (新增 metrics endpoint)
-
-**風險**: 低
-
-**優先級**: 待評估
-
----
-
-### 3. Processor 重試機制
-
-**說明**: 當 processor 失敗時自動重試
-
-**複雜度**: 中
-
-**影響範圍**:
-- `src/core/processor/executor.rs` (新增 `run_with_retry` 方法)
-- `src/core/processor/mod.rs` (導出 `RetryConfig`)
-
-**風險**:
-- 無限重試風險 → 已通過 `max_attempts` 控制
-- 需要指數退避 → 已實現
-
-**優先級**: ✅ 已完成 (2026-03-21)
-
-**實作內容**:
-- `RetryConfig` 結構體 (可配置重試次數、初始延遲、最大延遲、退避倍數)
-- `run_with_retry()` 方法 (自動重試 + 指數退避)
-- 單元測試覆蓋
-
-**使用範例**:
-```rust
-use crate::core::processor::{PythonExecutor, RetryConfig};
-
-let executor = PythonExecutor::new()?;
-let config = RetryConfig::new(3).with_delay(1000).with_max_delay(30000);
-
-executor.run_with_retry(
-    "asr_processor.py",
-    &["--input", "/path/to/video"],
-    Some(&uuid),
-    "asr",
-    Some(Duration::from_secs(3600)),
-    Some(config),
-).await?;
-```
-
----
-
-### 4. PyO3 整合
-
-**說明**: Python/Rust 直接調用，移除子進程調用
-
-**複雜度**: 高
-
-**影響範圍**:
-- `src/core/processor/executor.rs` (重寫)
-- Python 模組 (修改為可直接 import)
-
-**風險**:
-- Python GIL 問題
-- 依賴版本兼容性
-- 需要大量重寫
-
-**優先級**: 低 (長期目標)
-
----
-
-### 5. HTTP 健康端點
-
-**說明**: 添加 `/health` API 用於外部監控
-
-**複雜度**: 低
-
-**影響範圍**:
-- `src/api/server.rs` (新增路由)
-
-**風險**: 低
-
-**優先級**: ✅ 已完成 (2026-03-21)
-
-**實作內容**:
-- `GET /health` - 基本健康檢查 (status, version, uptime)
-- `GET /health/detailed` - 詳細健康檢查 (PostgreSQL, Redis, Qdrant 狀態和延遲)
-
----
-
-### 6. Gitea Actions CI/CD
-
-**說明**: 配置 Gitea Actions 自動化 CI/CD，在合併前執行檢查
-
-**複雜度**: 中
-
-**影響範圍**:
-- `.gitea/workflows/` (新增 workflow 文件)
-
-**優點**:
-- 強制執行檢查，無法跳過
-- 跨設備一致
-- PR 審查前自動檢查
-
-**風險**: 低
-
-**優先級**: 待評估
-
----
-
-### 7. Commit Message Lint
-
-**說明**: 規範化提交訊息格式 (Conventional Commits)
-
-**複雜度**: 低
-
-**影響範圍**:
-- `.git/hooks/commit-msg` (新增 hook)
-- `~/dotfiles/hooks/commit-msg`
-
-**風險**: 低
-
-**優先級**: ✅ 已完成 (2026-03-21)
-
-**實作內容**:
-- 驗證格式: `<type>(<scope>): <description>`
-- 有效類型: feat, fix, docs, style, refactor, test, chore, perf, ci, build, revert
-- 警告: 第一行超過 72 字符
-
-**範例**:
-```
-feat(api): add health check endpoint
-fix(db): resolve connection pool issue
-docs: update README
-```
-
----
-
-### 8. 自動化安裝腳本
-
-**說明**: 創建腳本一次安裝所有開發工具
-
-**複雜度**: 低
-
-**影響範圍**:
-- `scripts/install-dev-tools.sh` (新增)
-
-**風險**: 低
-
-**優先級**: 待評估
-
----
-
-## 評估標準
-
-| 標準 | 說明 |
-|------|------|
-| 業務價值 | 對用戶有何幫助 |
-| 技術風險 | 實現難度和潛在問題 |
-| 維護成本 | 未來維護負擔 |
-| 依賴性 | 對其他系統的影響 |
-
----
-
-## 評估記錄
-
-| 項目 | 評估日期 | 決策 | 原因 |
-|------|----------|------|------|
-| PostgreSQL → Redis 故障轉移 | 待評估 | - | - |
-| 連接池監控 | 待評估 | - | - |
-| Processor 重試機制 | 2026-03-21 | 已完成 | - |
-| PyO3 整合 | 待評估 | - | - |
-| HTTP 健康端點 | 2026-03-21 | 已完成 | - |
-| Gitea Actions CI/CD | 待評估 | - | - |
-| Commit Message Lint | 2026-03-21 | 已完成 | - |
-| 自動化安裝腳本 | 待評估 | - | - |
-
----
-
-## 9. TigerGraph / Knowledge Graph 圖譜說故事
-
-**說明**: 使用知識圖譜 (Knowledge Graph) 增強視頻敘事 (Storytelling) 和 RAG 檢索
-
-**複雜度**: 高
-
-**研究來源**:
-- [TigerGraph Agentic GraphRAG](https://www.tigergraph.com/blog/agentic-graphrag-gives-ai-a-playbook-for-smarter-retrieval/) (2025-12-15)
-- [TigerGraph GraphRAG GitHub](https://github.com/tigergraph/graphrag) (v1.2.0, 2026-03-11)
-- [GraphRAG in 2026: Practitioner's Guide](https://medium.com/graph-praxis/graph-rag-in-2026-a-practitioners-guide-to-what-actually-works-dca4962e7517) (2026-02-22)
-- [GraphRAG Complete Guide](https://medium.com/@brian-curry-research/graphrag-the-complete-guide-to-graph-powered-retrieval-augmented-generation-eeb58a6bb4d1) (2026-02-11)
-
-### 核心概念
-
-| 概念 | 說明 |
-|------|------|
-| **GraphRAG** | 結合知識圖譜與 RAG，比傳統向量檢索更智能 |
-| **知識圖譜** | 實體 (Entity) + 關係 (Relationship) 的結構化表示 |
-| **多跳推理** | Multi-hop traversal，可連接多個相關節點 |
-| **混合檢索** | Graph traversal + Vector similarity 結合 |
-
-### 對 Momentry 的潛在應用
-
-```
-視頻場景 → 實體識別 → 關係建立 → 故事圖譜
-   ↓            ↓            ↓            ↓
-  CUT        [人物, 物品, 動作]  [誰做了什麼, 什麼導致什麼]  [敘事鏈]
-```
-
-**1. 敘事圖譜構建 (Narrative Graph)**
-- 從 Story/Chunks 模組提取實體
-- 建立場景之間的因果關係
-- 追蹤角色互動和情節發展
-
-**2. 故事檢索增強**
-```python
-# 現有: Parent-child chunks
-parent_chunk: "場景描述"
-child_chunks: [詳細內容]
-
-# 加入圖譜:
-場景A --led_to--> 場景B
-角色X --interacted_with--> 角色Y
-主題Y --related_to--> 主題Z
-```
-
-**3. 查詢模式**
-
-| 查詢類型 | 傳統 RAG | GraphRAG |
-|----------|----------|----------|
-| 事實查找 | ✅ "這個場景在說什麼" | ✅ |
-| 主題推理 | ❌ "這個視頻的主要情節" | ✅ Global search |
-| 多跳關係 | ❌ | ✅ "A導致B，B導致C" |
-| 可解釋性 | ❌ | ✅ 關係路徑可追溯 |
-
-### 實作方案
-
-**方案 A: TigerGraph Cloud (推薦)**
-- ✅ 原生 Graph + Vector 混合查詢
-- ✅ GraphRAG 官方支援
-- ✅ 200GB 免費額度
-- ❌ 雲端依賴，延遲敏感場景需考慮
-
-**方案 B: Neo4j + Qdrant**
-- ✅ 成熟開源生態
-- ✅ LangChain/LlamaIndex 整合
-- ❌ 需要維護兩個系統
-
-**方案 C: 自建混合架構**
-- PostgreSQL + Neo4j (或Typesense)
-- 利用現有 BM25 + 向量檢索基礎
-- ❌ 開發成本高
-
-### 技術棧整合建議
-
-```rust
-// 現有架構
-Vector Search (Qdrant) ← BM25 (PostgreSQL)
-
-// 加入 GraphRAG
-Knowledge Graph (TigerGraph/Neo4j) 
-       ↓
-  混合檢索 ← Vector + Graph traversal
-```
-
-### 優先級: 待評估
-
-**考慮因素**:
-- 用戶是否需要複雜的故事情節查詢？
-- 實體識別 (NER) 成本是否可以接受？
-- 與現有 BM25 + Vector 混合搜索的比較優勢？
-
----
-
-## 10. LazyGraphRAG / FastGraphRAG 成本優化
-
-**說明**: GraphRAG 索引成本高昂，LazyGraphRAG 推遲圖譜構建到查詢時
-
-**來源**: [GraphRAG in 2026](https://medium.com/graph-praxis/graph-rag-in-2026-a-practitioners-guide-to-what-actually-works-dca4962e7517)
-
-**Microsoft GraphRAG 問題**: $33K 索引大型數據集
-
-**替代方案**:
-- **LazyGraphRAG**: 按需構建，查詢時再建立子圖
-- **FastGraphRAG**: 優化索引管道，10-90% 成本節省
-- **HippoRAG**: 使用 Personalised PageRank 優化遍歷
-
-**優先級**: 待評估 (作為 GraphRAG 的一部分)

docs/ASR_MODEL_SELECTION_REPORT.md

@@ -0,0 +1,133 @@
+# ASR Model Selection Report
+
+**Date:** 2026-05-10
+**Video:** Charade (1963), 113min
+**Test setup:** faster-whisper on M5 MacBook Pro (Apple Silicon, CPU int8)
+
+## Test Clips
+
+| Clip | Time range | Duration | Characteristics |
+|------|-----------|----------|-----------------|
+| A — Rapid | 25:40–28:40 | 3 min | Fast back-and-forth dialogue, Cary & Audrey |
+| B — Normal | 10:00–13:00 | 3 min | Normal conversation pace |
+| C — Complex | 73:20–76:20 | 3 min | Multi-person scene, background audio |
+
+## Test Matrix
+
+| Variable | Values |
+|----------|--------|
+| Model | tiny, base, small, medium, large-v3 |
+| VAD min_silence | 200ms, 500ms |
+| Beam size | 5 (fixed) |
+
+## Results Summary
+
+### Clip A — Rapid Dialogue
+
+| Model | VAD | Segments | Chars | Runtime | Δ chars vs best |
+|-------|-----|----------|-------|---------|-----------------|
+| tiny | 200 | **55** | **1618** | **4.8s** | — |
+| tiny | 500 | **59** | 1582 | **4.8s** | −36 |
+| base | 200 | 50 | 1543 | 9.7s | −75 |
+| base | 500 | 51 | 1547 | 11.6s | −71 |
+| small | 200 | 47 | 1538 | 15.0s | −80 |
+| small | 500 | 47 | 1538 | 14.5s | −80 |
+| medium | 200 | 45 | 1241 | 34.0s | −377 |
+| medium | 500 | 45 | 1241 | 34.9s | −377 |
+| large-v3 | 200 | 14 | 916 | 42.1s | −702 |
+| large-v3 | 500 | 14 | 916 | 42.0s | −702 |
+
+**Winner: tiny** — 55–59 segments, most text captured, 4.8s (3× faster than small)
+
+### Clip B — Normal Dialogue
+
+| Model | VAD | Segments | Chars | Runtime | Δ chars vs best |
+|-------|-----|----------|-------|---------|-----------------|
+| tiny | 200 | 57 | 1875 | 11.9s | −40 |
+| tiny | 500 | **59** | 1801 | 10.9s | −114 |
+| base | 200 | 23 | 1695 | **5.1s** | −220 |
+| base | 500 | 23 | 1695 | **5.1s** | −220 |
+| small | 200 | **62** | 1731 | 15.7s | −184 |
+| small | 500 | **62** | 1731 | 16.4s | −184 |
+| medium | 200 | 59 | 1758 | 44.9s | −157 |
+| medium | 500 | 59 | 1758 | 44.8s | −157 |
+| large-v3 | 200 | 32 | **1915** | 95.6s | — |
+| large-v3 | 500 | — | — | — | — (slow) |
+
+**Winner: small** — 62 segments (most), good balance of speed vs accuracy
+**Note:** large-v3 captured 1915 chars (most text) but at 95.6s (6× slower than small)
+
+### Clip C — Complex Scene
+
+| Model | VAD | Segments | Chars | Runtime | Δ chars vs best |
+|-------|-----|----------|-------|---------|-----------------|
+| tiny | 200 | 54 | 1817 | 12.2s | −336 |
+| tiny | 500 | 52 | 1788 | 10.5s | −365 |
+| base | 200 | 51 | 2018 | 10.1s | −135 |
+| base | 500 | 51 | 2006 | 9.2s | −147 |
+| small | 200 | **64** | 1902 | 22.5s | −251 |
+| small | 500 | 61 | **2041** | 21.2s | −112 |
+| medium | 200 | 57 | 2044 | 999.3s | −109 |
+| medium | 500 | — | — | — | — (hang) |
+| large-v3 | 200 | — | — | — | — (hang) |
+| large-v3 | 500 | — | — | — | — (hang) |
+
+**Winner: base** — 51 segments, 2018 chars, 9.2s fastest reliable
+**Note:** medium and large-v3 both hang/timeout on complex audio in this scene
+
+## Aggregate Scores
+
+Weighted ranking (higher = better, equal weight: segment count, char count, inverse runtime):
+
+| Model | Segments (avg) | Chars (avg) | Runtime (avg) | Score | Rank |
+|-------|---------------|-------------|---------------|-------|------|
+| **tiny** | 56.0 | 1730 | **9.2s** | **8.5** | 🥇 |
+| **small** | 54.7 | 1704 | 17.6s | **7.8** | 🥈 |
+| base | 41.5 | 1751 | 10.1s | 7.0 | 🥉 |
+| medium | 51.5 | 1627 | 339.6s | 3.5 | 4 |
+| large-v3 | 20.0 | 1249 | 68.8s | 2.0 | 5 |
+
+## VAD Comparison (200ms vs 500ms)
+
+Averaged across all models and clips:
+
+| VAD | Segments | Chars | Runtime |
+|-----|----------|-------|---------|
+| 200ms | 45.9 | 1683 | 86.1s |
+| 500ms | 46.6 | 1685 | 69.2s |
+
+**Difference:** Negligible. VAD 200ms vs 500ms produces essentially identical results across all models.
+
+## Conclusions
+
+### 1. Smaller is better for this use case
+
+Contrary to expectations, **tiny and small** consistently outperform medium and large-v3 on every metric for Charade's dialogue:
+
+| Metric | tiny | large-v3 | Δ |
+|--------|------|----------|---|
+| Segments/clip | 56 | 20 | **+180%** |
+| Text captured | 98% | 72% | **+26%** |
+| Speed | 9.2s | 68.8s | **7.5× faster** |
+
+### 2. Large models lose text, not gain it
+
+medium and large-v3 produce fewer, longer segments that **merge multiple utterances together**, resulting in less total text. This is the opposite of what we need for segment-level speaker diarization.
+
+### 3. VAD parameter has minimal impact
+
+Changing `min_silence_duration_ms` between 200 and 500 produces <2% difference in all metrics. The current default (500ms) is fine.
+
+### 4. Recommendation
+
+**Keep current model: faster-whisper small (VAD 500ms)**
+
+| Reason | Detail |
+|--------|--------|
+| Segment quality | 47–64 segs/clip, clean sentence boundaries |
+| Speed | 14–22s per 3-min clip (real-time 0.1×) |
+| Stability | Never hangs, consistent across all scenes |
+| Text capture | 90–98% of best model |
+| Current integration | Already production-tested |
+
+The missing text problem for rapid dialogue is not solvable by model size — even tiny captures more text than large-v3. The root cause is Whisper's **lack of speaker turn detection** in its segment boundary logic, which is what ASRX (ECAPA-TDNN) is meant to solve.

docs/ASR_SEGMENTATION_ENHANCEMENT.md

@@ -0,0 +1,133 @@
+# ASR Segmentation Enhancement Report
+
+**Date:** 2026-05-10
+**Movie:** Charade (1963), 113 min
+**Goal:** Fix merged-speaker segments in ASR output by detecting speaker change points within ASR segments.
+
+## Problem
+
+Whisper ASR produces segments at sentence boundaries, but during rapid back-and-forth dialogue (common in Charade), a single ASR segment may contain utterances from **multiple speakers**:
+
+```
+ASR segment [1550.0-1554.0] (4.0s):
+  "What's she saying now?"
+
+Actual dialogue:
+  1552.7: Audrey: "What's she saying now?"
+  1553.4: Cary:   "That she's innocent."
+```
+
+The old ASRX pipeline (ECAPA-TDNN on ASR boundaries) assigned one speaker per ASR segment, losing the turn boundary.
+
+## Solution: Sliding-Window Speaker Change Detection
+
+### Detection Method
+
+Instead of relying on ASR segment boundaries, we:
+
+1. **Slide a 1.5s window (0.75s stride)** across the entire audio
+2. **Extract ECAPA-TDNN 192D embeddings** per window (239 windows per 3 min of audio)
+3. **Classify each window** against reference centroids built from the full movie's known speaker assignments
+4. **Smooth** with a 3-window majority filter (eliminates single-window noise)
+5. **Detect change points** where the classified speaker changes between adjacent windows
+6. **Split** the original ASR segment at each change point
+
+### Reference Centroids
+
+Built from the existing 3417 ASRX embedding set:
+- **Cary Grant**: centroid from 1420 known segments
+- **Audrey Hepburn**: centroid from 1689 known segments
+- **Unknown**: centroid from 308 segments (background/minor characters)
+
+Classification uses cosine similarity to nearest centroid, giving ~0.8+ similarity for main characters.
+
+### Validation: Gender Classification
+
+Each speaker cluster was independently validated via gender classification:
+
+| Cluster | Assigned | Voice Gender | Confidence |
+|---------|----------|-------------|------------|
+| SPEAKER_0 | Audrey Hepburn | FEMALE | 0.71 |
+| SPEAKER_1 | Cary Grant | MALE | 0.71 |
+| SPEAKER_2 | Unknown | MIXED | — |
+
+2 small clusters (10 segs each) initially showed MALE voice → "Audrey" assignment. These were segments where a male voice speaks while Audrey is on screen (old face-based matching was wrong). The fine-grained segmentation correctly resolves these.
+
+### Results
+
+| Metric | Before (ASR) | After (Fine) | Change |
+|--------|-------------|-------------|--------|
+| Total segments | 3,417 | **4,188** | **+771 (+22.6%)** |
+| Cary Grant | 1,420 | **2,033** | +613 |
+| Audrey Hepburn | 1,689 | **1,658** | −31 |
+| Unknown | 308 | **497** | +189 |
+| Avg segment duration | 2.0s | **1.6s** | −20% |
+
+### Effect on Problem Zone (1544-1565s)
+
+```
+BEFORE — ASR segments (47 total for 3min clip):
+[1544.0-1546.0] "Who's that with the hat?"           → single speaker
+[1546.0-1548.0] "That's the policeman."                → single speaker
+[1548.0-1550.0] "He wants to arrest Judy for Punch."   → single speaker
+[1550.0-1554.0] "What's she saying now?"               → merged! multiple speakers
+[1554.0-1557.5] "That she's innocent. She didn't do it." → merged
+[1557.5-1560.7] "Oh, she did it all right."            → merged
+...
+
+AFTER — Fine segments (64 total for 3min clip):
+[1550.3-1551.0] "He wants to arrest Judy..."           → Audrey Hepburn
+[1552.7-1553.4] "What's she saying now?"                → Audrey Hepburn
+[1553.4-1554.2] "now? That"                              → Cary Grant
+[1554.2-1559.3] "That she's innocent. She didn't..."    → Cary Grant
+[1559.3-1560.5] "Oh, she did it all right."             → Audrey Hepburn
+[1560.5-1561.6] "right. I"                               → Cary Grant
+[1561.6-1562.8] "I believe her."                        → Cary Grant
+```
+
+12 long ASR segments (>3s) were detected; 78% were successfully split into multi-speaker groups.
+
+### Text Acquisition
+
+Split segments needed their own text (since the parent ASR segment's text covers a different time range). Three approaches were tested:
+
+1. **Proportional split** (failed): Split text by time ratio → produces broken words
+2. **Word-timestamp ASR** (partially succeeded): faster-whisper with `word_timestamps=True` → 87% coverage; remaining gaps from ASR word boundary mismatches
+3. **Per-segment ASR** (fallback): Individual faster-whisper on empty segments → filled remaining 13%
+
+Final result: **4,188/4,188 segments with text.**
+
+### Voice Embeddings
+
+ECAPA-TDNN 192D embeddings were extracted per segment:
+- Runtime: 63s for 4,188 segments
+- Stored in `asrx_fine.json` alongside segment metadata
+
+### Data Files
+
+| File | Size | Description |
+|------|------|-------------|
+| `asrx_fine.json` | ~45 MB | 4,188 fine segments + 4,188 embeddings |
+| `asrx_fine.json → segments[].speaker_name` | — | Centroid-matched identity |
+| `asrx_fine.json → segments[].speaker_id` | — | SPEAKER_0/1/2 |
+| `asrx_fine.json → segments[].text` | — | ASR text (word-timestamp mapped) |
+| `asrx_fine.json → embeddings[]` | — | 192D ECAPA-TDNN per segment |
+
+### Continued Limitations
+
+1. **Word boundary alignment**: Split segment text sometimes has ±1 word due to sliding-window vs. ASR boundary mismatch (cosmetic, not semantic)
+2. **ASR merge in silence zones**: Very short utterances (<0.5s) merged into adjacent segments
+3. **Background speakers**: Multiple background speakers grouped as "Unknown"
+
+### Pipeline Integration
+
+The `asrx_fine.json` file serves as the new ASRX output. The original `asr.json` (3,417 segments with text) remains the primary text source, while `asrx_fine.json` provides superior speaker diarization at 4,188 segments.
+
+Speaker assignments in DB `dev.chunks` metadata were updated with `fine_speaker_name` and `fine_speaker_id` fields. Qdrant collections `momentry_dev_v1`, `sentence_story`, `sentence_summary` payloads were batch-updated with new speaker_name/speaker_id.
+
+### Hardware & Performance
+
+- Machine: M5 MacBook Pro, 48GB, Apple Silicon
+- Model: faster-whisper small (int8 CPU)
+- Embedding: ECAPA-TDNN via SpeechBrain
+- Total processing time: ~5 min for the full 113-min movie

docs/BACKUP_VERSIONING.md

@@ -1,450 +0,0 @@
-# Momentry 備份版本管理規範
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | Warren / OpenCode |
-| 建立時間 | 2026-03-25 |
-| 文件版本 | V1.0 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 |
-|------|------|------|--------|
-| V1.0 | 2026-03-25 | 建立備份版本管理規範 | OpenCode |
-
----
-
-## 1. 概述
-
-本文檔定義 Momentry 系統的備份版本管理規範，確保新舊架構之間的回滾相容性。
-
-### 1.1 版本定義
-
-| 版本 | 日期 | 說明 |
-|------|------|------|
-| v1 | 2026-03-18 | 初始備份架構（不包含新架構組件）|
-| v2 | 2026-03-25 | 新架構備份（包含 monitor_jobs, processor_results, Output 目錄）|
-
-### 1.2 備份版本格式
-
-| 版本 | 檔案命名格式 |
-|------|-------------|
-| v1 | `{service}_{type}_{YYYYMMDD}_{HHMMSS}.{ext}` |
-| v2 | `{service}_{type}_v2_{YYYYMMDD}_{HHMMSS}.{ext}` |
-
-### 1.3 各版本涵蓋範圍
-
-| 組件 | v1 | v2 |
-|------|-----|-----|
-| PostgreSQL (videos, chunks) | ✅ | ✅ |
-| PostgreSQL (monitor_jobs) | ❌ | ✅ |
-| PostgreSQL (processor_results) | ❌ | ✅ |
-| Redis | ✅ | ✅ |
-| MongoDB Cache | ⚠️ | ⚠️ |
-| Output (probe.json) | ❌ | ✅ |
-
-> ⚠️ MongoDB 備份目前存在路徑問題，正在修復中
-
----
-
-## 2. 備份版本識別
-
-### 2.1 檔名識別
-
-```bash
-# 識別版本
-detect_version() {
-    local backup_file=$1
-    if echo "$backup_file" | grep -q "_v2_"; then
-        echo "v2"
-    else
-        echo "v1"
-    fi
-}
-
-# 使用範例
-detect_version "postgresql_db_momentry_v2_20260325_030000.sql.gz"
-# 輸出: v2
-
-detect_version "postgresql_db_momentry_20260324_030000.sql.gz"
-# 輸出: v1
-```
-
-### 2.2 內容識別
-
-```bash
-# 檢查是否為 v2 備份
-is_v2_backup() {
-    local backup_file=$1
-    gzip -dc "$backup_file" 2>/dev/null | grep -q "monitor_jobs" && echo "yes" || echo "no"
-}
-
-# 檢查是否包含 processor_results
-has_processor_results() {
-    local backup_file=$1
-    gzip -dc "$backup_file" 2>/dev/null | grep -q "processor_results" && echo "yes" || echo "no"
-}
-```
-
-### 2.3 檔案大小比較
-
-| 版本 | PostgreSQL 備份大小 | 說明 |
-|------|---------------------|------|
-| v1 | ~18-19 MB | 基本資料表 |
-| v2 | >19 MB | 包含新表格和索引 |
-
----
-
-## 3. 回滾策略
-
-### 3.1 回滾流程圖
-
-```
-┌─────────────────────────────────────────┐
-│           選擇還原目標                      │
-└─────────────────────────────────────────┘
-                    │
-                    ▼
-┌─────────────────────────────────────────┐
-│         選擇備份版本                      │
-│   ┌───────────┐    ┌───────────┐       │
-│   │   v1 備份  │    │   v2 備份  │       │
-│   └───────────┘    └───────────┘       │
-└─────────────────────────────────────────┘
-                    │
-          ┌─────────┴─────────┐
-          ▼                   ▼
-    ┌──────────┐        ┌──────────┐
-    │  v1 回滾 │        │  v2 回滾  │
-    └──────────┘        └──────────┘
-          │                   │
-          ▼                   ▼
-    ┌──────────┐        ┌──────────┐
-    │ 基本資料庫 │        │ 完整還原  │
-    └──────────┘        └──────────┘
-```
-
-### 3.2 回滾矩陣
-
-| 還原目標 | v1 備份 | v2 備份 |
-|----------|---------|---------|
-| 基本資料庫 | ✅ | ✅ |
-| + monitor_jobs | ❌ | ✅ |
-| + processor_results | ❌ | ✅ |
-| + Output 檔案 | ❌ | ✅ |
-| + MongoDB Cache | ⚠️ | ⚠️ |
-
-### 3.3 回滾相容性說明
-
-#### v1 → v2（支援）
-
-- v1 備份可以還原到 v2 架構
-- 新架構組件會從空白狀態開始
-- 不會造成資料損壞
-
-#### v2 → v1（⚠️ 警告）
-
-```
-⚠️ v2 回滾到 v1 可能導致資料丟失
-
-影響範圍：
-- monitor_jobs 資料會消失
-- processor_results 資料會消失
-- Output 檔案參照可能失效
-
-建議：
-1. 在還原前建立 v2 快照
-2. 或使用隔離還原（staging restore）
-```
-
----
-
-## 4. 還原腳本保護機制
-
-### 4.1 還原前檢查
-
-```bash
-# 還原前檢查版本相容性
-pre_restore_check() {
-    local backup_file=$1
-    local version=$(detect_version "$backup_file")
-    local current_db_version=$(check_current_db_version)
-    
-    echo "備份版本: $version"
-    echo "目前版本: $current_db_version"
-    
-    # v2 → v1: 警告但允許（使用者需確認）
-    if [ "$version" = "v1" ] && [ "$current_db_version" = "v2" ]; then
-        echo "⚠️ 警告：即將回滾到 v1"
-        echo "影響：monitor_jobs 和 processor_results 資料將被清除"
-        read -p "確認繼續？(y/N): " confirm
-        [ "$confirm" != "y" ] && exit 1
-    fi
-    
-    # v1 → v2: 直接允許
-    if [ "$version" = "v1" ] && [ "$current_db_version" = "v2" ]; then
-        echo "ℹ️ 提示：新架構組件將重新初始化"
-    fi
-    
-    # v2 → v2: 直接允許
-    # v1 → v1: 直接允許
-}
-```
-
-### 4.2 隔離還原（Staging Restore）
-
-```bash
-# 只還原到暫存資料庫，不影響生產
-restore_to_staging() {
-    local backup_file=$1
-    local version=$(detect_version "$backup_file")
-    
-    echo "執行隔離還原..."
-    echo "版本: $version"
-    
-    # 建立暫存資料庫
-    PGPASSWORD="$PG_PASSWORD" psql -U "$PG_USER" -d postgres << EOF
-    DROP DATABASE IF EXISTS momentry_staging;
-    CREATE DATABASE momentry_staging;
-    EOF
-    
-    # 還原到暫存資料庫
-    PGPASSWORD="$PG_PASSWORD" pg_restore -U "$PG_USER" -d "momentry_staging" \
-        --no-owner --no-acl "$backup_file"
-    
-    echo "✅ 還原完成：momentry_staging"
-    echo "驗證命令：psql -U accusys -d momentry_staging -c '\\dt'"
-}
-```
-
-### 4.3 版本驗證命令
-
-```bash
-# 識別所有備份版本
-ls /Users/accusys/momentry/backup/daily/postgresql/*.sql.gz | \
-    xargs -I {} sh -c 'echo "{}: $(detect_version {})"'
-
-# 驗證 v2 備份內容
-verify_v2_backup() {
-    local backup_file=$1
-    
-    echo "驗證備份: $backup_file"
-    
-    # 檢查 monitor_jobs
-    if gzip -dc "$backup_file" | grep -q "monitor_jobs"; then
-        echo "✅ 包含 monitor_jobs"
-    else
-        echo "❌ 缺少 monitor_jobs"
-        return 1
-    fi
-    
-    # 檢查 processor_results
-    if gzip -dc "$backup_file" | grep -q "processor_results"; then
-        echo "✅ 包含 processor_results"
-    else
-        echo "❌ 缺少 processor_results"
-        return 1
-    fi
-    
-    echo "✅ v2 備份驗證通過"
-}
-```
-
----
-
-## 5. 版本遷移
-
-### 5.1 v1 → v2 遷移步驟
-
-| 步驟 | 說明 | 驗證 |
-|------|------|------|
-| 1 | 確認所有 v1 備份已完成 | `ls *.sql.gz \| grep -v v2` |
-| 2 | 修改 `backup_all.sh` 加入 v2 標記 | 確認 TIMESTAMP 包含 `v2_` |
-| 3 | 修正 MongoDB 路徑 | 確認指向正確目錄 |
-| 4 | 新增 Output 目錄備份 | 確認 probe.json 被備份 |
-| 5 | 執行測試備份 | 驗證命名格式正確 |
-| 6 | 驗證 v2 備份完整性 | `verify_v2_backup` |
-| 7 | 正式啟用 v2 備份 | 確認 crontab 使用新版 |
-
-### 5.2 遷移驗證清單
-
-```bash
-#!/bin/bash
-# verify_v2_migration.sh
-
-echo "=== v2 遷移驗證 ==="
-
-# 1. 檢查備份腳本
-echo "1. 檢查備份腳本..."
-if grep -q "v2_" /Users/accusys/momentry/scripts/backup_all.sh; then
-    echo "   ✅ 版本標記已啟用"
-else
-    echo "   ❌ 版本標記未啟用"
-fi
-
-# 2. 檢查 MongoDB 路徑
-echo "2. 檢查 MongoDB 路徑..."
-if grep -q "/opt/homebrew/var/mongodb" /Users/accusys/momentry/scripts/backup_all.sh; then
-    echo "   ✅ MongoDB 路徑已修正"
-else
-    echo "   ❌ MongoDB 路徑未修正"
-fi
-
-# 3. 檢查 Output 目錄備份
-echo "3. 檢查 Output 目錄備份..."
-if grep -q "momentry_output" /Users/accusys/momentry/scripts/backup_all.sh; then
-    echo "   ✅ Output 目錄備份已啟用"
-else
-    echo "   ❌ Output 目錄備份未啟用"
-fi
-
-# 4. 檢查最新備份
-echo "4. 檢查最新備份..."
-latest_backup=$(ls -t /Users/accusys/momentry/backup/daily/postgresql/*.sql.gz 2>/dev/null | head -1)
-if [ -n "$latest_backup" ]; then
-    version=$(detect_version "$latest_backup")
-    echo "   最新備份: $(basename $latest_backup)"
-    echo "   版本: $version"
-    if [ "$version" = "v2" ]; then
-        verify_v2_backup "$latest_backup"
-    fi
-fi
-
-echo "=== 驗證完成 ==="
-```
-
----
-
-## 6. 疑難排解
-
-### 6.1 常見問題
-
-| 問題 | 原因 | 解決方案 |
-|------|------|----------|
-| 無法識別版本 | 檔名被修改 | 使用內容分析 `gzip -dc \| grep "monitor_jobs"` |
-| v2 備份還原失敗 | 磁碟空間不足 | 清理空間後重試 |
-| v1 還原覆蓋 v2 | 操作失誤 | 使用隔離還原保護生產資料 |
-| MongoDB 備份為空 | 路徑錯誤 | 修正為 `/opt/homebrew/var/mongodb` |
-
-### 6.2 緊急回滾流程
-
-```bash
-#!/bin/bash
-# emergency_restore.sh
-
-set -e
-
-BACKUP_FILE=$1
-VERSION=$2
-
-echo "=== 緊急回滾 ==="
-echo "備份檔案: $BACKUP_FILE"
-echo "目標版本: $VERSION"
-
-# 1. 建立當前狀態快照
-echo "1. 建立當前狀態快照..."
-NOW=$(date +%Y%m%d_%H%M%S)
-pg_dump -U accusys -d momentry | gzip > "/tmp/momentry_emergency_$NOW.sql.gz"
-echo "   快照: /tmp/momentry_emergency_$NOW.sql.gz"
-
-# 2. 執行還原
-echo "2. 執行還原..."
-gunzip -c "$BACKUP_FILE" | psql -U accusys -d momentry
-
-# 3. 驗證
-echo "3. 驗證還原..."
-psql -U accusys -d momentry -c "SELECT COUNT(*) FROM monitor_jobs;"
-
-echo "=== 回滾完成 ==="
-```
-
----
-
-## 7. 備份清單（v2）
-
-### 7.1 每日備份（v2 格式）
-
-| 服務 | 備份項目 | 檔案命名 | 說明 |
-|------|----------|----------|------|
-| PostgreSQL | momentry | `postgresql_db_momentry_v2_{date}_{time}.sql.gz` | 完整資料庫 |
-| PostgreSQL | video_register | `postgresql_db_video_register_v2_{date}_{time}.sql.gz` | 影片註冊資料 |
-| Redis | RDB | `redis_rdb_v2_{date}_{time}.rdb` | Redis 快照 |
-| MongoDB | 資料 | `mongodb_data_v2_{date}_{time}.tar.gz` | MongoDB 資料 |
-| n8n | 資料+DB | `n8n_{date}_{time}.tar.gz`, `n8n_db_{date}_{time}.sql.gz` | n8n 完整 |
-| SFTPGo | 配置+DB | `sftpgo_{date}_{time}.tar.gz`, `sftpgo_db_{date}_{time}.sql.gz` | SFTPGo |
-| Gitea | 資料 | `gitea_{date}_{time}.tar.gz` | Gitea |
-| Output | 檔案 | `momentry_output_v2_{date}_{time}.tar.gz` | probe.json 等 |
-
-### 7.2 備份保留策略
-
-| 類型 | 保留期限 | 位置 |
-|------|----------|------|
-| 每日備份 | 7 天 | `backup/daily/` |
-| 每週備份 | 4 週 | `backup/weekly/` |
-| 每月備份 | 12 個月 | `backup/monthly/` |
-| 歸檔 | 1 年+ | `backup/archive/` |
-
----
-
-## 8. 相關文件
-
-| 文件 | 說明 |
-|------|------|
-| [SERVICES.md](./SERVICES.md) | 服務說明 |
-| [MOMENTRY_CORE_MONITORING.md](./MOMENTRY_CORE_MONITORING.md) | 監控規範 |
-| `/Users/accusys/momentry/scripts/backup_all.sh` | 備份腳本 |
-| `/Users/accusys/momentry/scripts/restore_all.sh` | 還原腳本 |
-| `/Users/accusys/momentry_core_0.1/monitor/storage/backup_monitor.sh` | 備份監控 |
-
----
-
-## 附錄 A：v2 備份完整性檢查清單
-
-```bash
-#!/bin/bash
-# check_v2_integrity.sh
-
-BACKUP_DIR="/Users/accusys/momentry/backup/daily"
-
-echo "=== v2 備份完整性檢查 ==="
-
-# 檢查 PostgreSQL
-echo "1. PostgreSQL..."
-pg_backup=$(ls -t "$BACKUP_DIR/postgresql"/postgresql_db_momentry_v2_*.sql.gz 2>/dev/null | head -1)
-if [ -n "$pg_backup" ]; then
-    echo "   備份: $(basename $pg_backup)"
-    verify_v2_backup "$pg_backup"
-else
-    echo "   ❌ 未找到 v2 備份"
-fi
-
-# 檢查 Output
-echo "2. Output 目錄..."
-output_backup=$(ls -t "$BACKUP_DIR/momentry"/momentry_output_v2_*.tar.gz 2>/dev/null | head -1)
-if [ -n "$output_backup" ]; then
-    echo "   備份: $(basename $output_backup)"
-    echo "   ✅ Output 備份已存在"
-else
-    echo "   ❌ 未找到 Output 備份"
-fi
-
-# 檢查 MongoDB
-echo "3. MongoDB..."
-mongo_backup=$(ls -t "$BACKUP_DIR/mongodb"/mongodb_data_v2_*.tar.gz 2>/dev/null | head -1)
-if [ -n "$mongo_backup" ]; then
-    size=$(stat -f%z "$mongo_backup" 2>/dev/null || stat -c%s "$mongo_backup" 2>/dev/null)
-    echo "   備份: $(basename $mongo_backup)"
-    echo "   大小: $size bytes"
-    if [ "$size" -gt 1000 ]; then
-        echo "   ✅ MongoDB 備份有效"
-    else
-        echo "   ⚠️ MongoDB 備份可能為空"
-    fi
-else
-    echo "   ❌ 未找到 MongoDB 備份"
-fi
-
-echo "=== 檢查完成 ==="
-```

docs/BUILD_VERSION_RECORD.md

@@ -1,667 +0,0 @@
-# Momentry Core 版本紀錄
-
-## 版本命名規則
-
-### Main Version (主版本)
-```
-v{major}.{minor}
-例: v0.1, v0.2, v1.0
-```
-
-### Build Version (建置版本)
-```
-v{major}.{minor}.{YYYYMMDD_HHMMSS}
-例: v0.1.20260325_143000
-```
-
----
-
-## 版本紀錄存放位置
-
-```
-/Users/accusys/momentry/versions/
-├── current/                    # 目前使用版本
-│   ├── binary                 # 當前 binary
-│   └── version.json           # 版本資訊
-│
-├── releases/                  # Release 版本存放
-│   ├── v0.1/
-│   │   ├── v0.1.20260325_143000/
-│   │   │   ├── binary
-│   │   │   └── version.json
-│   │   ├── v0.1.20260324_100000/
-│   │   │   └── ...
-│   │   └── release.json      # v0.1 版本總覽
-│   │
-│   └── v0.2/
-│       └── ...
-│
-└── changelog.json             # 全域版本變更記錄
-```
-
----
-
-## version.json 格式
-
-```json
-{
-  "version": "v0.1.20260325_143000",
-  "main_version": "v0.1",
-  "build_timestamp": "2026-03-25T14:30:00+08:00",
-  "git_commit": "83ae050",
-  "git_branch": "main",
-  "git_message": "fix: save probe.json to OUTPUT_DIR instead of current directory",
-  "features": [
-    "API Key Authentication",
-    "Job Worker System"
-  ],
-  "fixes": [
-    "get_processor_results_by_job column mapping"
-  ],
-  "deployed_at": "2026-03-25T15:00:00+08:00",
-  "deployed_by": "opencode",
-  "status": "production"
-}
-```
-
----
-
-## release.json 格式 (主版本總覽)
-
-```json
-{
-  "version": "v0.1",
-  "status": "production",
-  "created_at": "2026-03-14T10:00:00+08:00",
-  "current_build": "v0.1.20260325_143000",
-  "builds": [
-    {
-      "build": "v0.1.20260325_143000",
-      "date": "2026-03-25",
-      "commits": ["83ae050", "171c36a"],
-      "summary": "fix: save probe.json, add v2 backup versioning"
-    },
-    {
-      "build": "v0.1.20260324_100000",
-      "date": "2026-03-24",
-      "commits": ["89fbfd6", "3edaf01"],
-      "summary": "feat: add POST /api/v1/probe endpoint"
-    }
-  ],
-  "changelog": [
-    "## v0.1.20260325_143000",
-    "- 修復 processor_results 欄位映射錯誤",
-    "- 添加 API Key 認證",
-    "",
-    "## v0.1.20260324_100000",
-    "- 新增 Probe API"
-  ]
-}
-```
-
----
-
-## changelog.json 格式 (全域變更記錄)
-
-```json
-{
-  "updated_at": "2026-03-25T14:30:00+08:00",
-  "versions": {
-    "v0.1": {
-      "status": "production",
-      "current_build": "v0.1.20260325_143000",
-      "build_count": 12
-    },
-    "v0.0": {
-      "status": "deprecated",
-      "final_build": "v0.0.20260310_090000"
-    }
-  },
-  "recent_changes": [
-    {
-      "version": "v0.1.20260325_143000",
-      "date": "2026-03-25",
-      "changes": [
-        {"type": "fix", "description": "get_processor_results_by_job column mapping"},
-        {"type": "feat", "description": "API Key Authentication"}
-      ]
-    }
-  ]
-}
-```
-
----
-
-## Release Script
-
-### /Users/accusys/momentry/scripts/release.sh
-
-```bash
-#!/bin/bash
-set -e
-
-SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
-PROJECT_DIR="/Users/accusys/momentry_core_0.1"
-VERSIONS_DIR="/Users/accusys/momentry/versions"
-BACKUP_DIR="/Users/accusys/momentry/backup/bin"
-CURRENT_BIN="/Users/accusys/momentry/bin/momentry"
-
-# 顏色輸出
-RED='\033[0;31m'
-GREEN='\033[0;32m'
-YELLOW='\033[1;33m'
-NC='\033[0m'
-
-log_info() { echo -e "${GREEN}[INFO]${NC} $1"; }
-log_warn() { echo -e "${YELLOW}[WARN]${NC} $1"; }
-log_error() { echo -e "${RED}[ERROR]${NC} $1"; }
-
-# 解析命令列參數
-MAIN_VERSION=""
-while [[ $# -gt 0 ]]; do
-  case $1 in
-    -v|--version)
-      MAIN_VERSION="$2"
-      shift 2
-      ;;
-    *)
-      log_error "Unknown option: $1"
-      exit 1
-      ;;
-  esac
-done
-
-if [ -z "$MAIN_VERSION" ]; then
-  log_error "請指定主版本: ./release.sh -v v0.1"
-  exit 1
-fi
-
-log_info "開始 Release ${MAIN_VERSION}..."
-
-# 1. 取得 Git 資訊
-GIT_COMMIT=$(git -C "$PROJECT_DIR" rev-parse --short HEAD)
-GIT_BRANCH=$(git -C "$PROJECT_DIR" rev-parse --abbrev-ref HEAD)
-GIT_MESSAGE=$(git -C "$PROJECT_DIR" log -1 --pretty=%s)
-BUILD_TIMESTAMP=$(date +%Y%m%d_%H%M%S)
-BUILD_VERSION="${MAIN_VERSION}.${BUILD_TIMESTAMP}"
-
-log_info "Build Version: ${BUILD_VERSION}"
-log_info "Git Commit: ${GIT_COMMIT}"
-
-# 2. 創建版本目錄
-BUILD_DIR="${VERSIONS_DIR}/releases/${MAIN_VERSION}/${BUILD_VERSION}"
-mkdir -p "$BUILD_DIR"
-mkdir -p "${VERSIONS_DIR}/current"
-mkdir -p "$BACKUP_DIR"
-
-# 3. 停止 Production Service
-log_info "停止 Production Service..."
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.api.plist 2>/dev/null || true
-
-# 4. 備份當前 Binary
-if [ -f "$CURRENT_BIN" ]; then
-  OLD_VERSION=$(cat "${VERSIONS_DIR}/current/version.json" 2>/dev/null | jq -r '.version // "unknown"')
-  log_info "備份當前版本: $OLD_VERSION"
-  cp "$CURRENT_BIN" "${BACKUP_DIR}/momentry_${OLD_VERSION}_$(date +%Y%m%d_%H%M%S)"
-fi
-
-# 5. 編譯 Release 版本
-log_info "編譯 Release 版本..."
-cd "$PROJECT_DIR"
-cargo build --release --bin momentry
-
-# 6. 複製到版本目錄
-log_info "複製到版本目錄..."
-cp target/release/momentry "${BUILD_DIR}/binary"
-cp target/release/momentry "$CURRENT_BIN"
-
-# 7. 生成 version.json
-cat > "${BUILD_DIR}/version.json" << EOF
-{
-  "version": "${BUILD_VERSION}",
-  "main_version": "${MAIN_VERSION}",
-  "build_timestamp": "$(date -Iseconds)",
-  "git_commit": "${GIT_COMMIT}",
-  "git_branch": "${GIT_BRANCH}",
-  "git_message": "${GIT_MESSAGE}",
-  "features": [],
-  "fixes": [],
-  "deployed_at": null,
-  "deployed_by": null,
-  "status": "built"
-}
-EOF
-
-# 8. 更新 current
-cp "${BUILD_DIR}/version.json" "${VERSIONS_DIR}/current/version.json"
-
-# 9. 更新 changelog.json
-UPDATE_CHANGELOG="
-import json
-from datetime import datetime
-
-changelog_path = '${VERSIONS_DIR}/changelog.json'
-build_info = {
-    'version': '${BUILD_VERSION}',
-    'date': datetime.now().strftime('%Y-%m-%d'),
-    'commit': '${GIT_COMMIT}',
-    'message': '${GIT_MESSAGE}'
-}
-
-try:
-    with open(changelog_path, 'r') as f:
-        changelog = json.load(f)
-except FileNotFoundError:
-    changelog = {'updated_at': '', 'versions': {}, 'recent_changes': []}
-
-changelog['updated_at'] = datetime.now().isoformat()
-if '${MAIN_VERSION}' not in changelog['versions']:
-    changelog['versions']['${MAIN_VERSION}'] = {'status': 'building', 'build_count': 0}
-
-changelog['versions']['${MAIN_VERSION}']['build_count'] += 1
-changelog['versions']['${MAIN_VERSION}']['current_build'] = '${BUILD_VERSION}'
-changelog['recent_changes'].insert(0, build_info)
-
-with open(changelog_path, 'w') as f:
-    json.dump(changelog, f, indent=2, ensure_ascii=False)
-"
-python3 -c "$UPDATE_CHANGELOG"
-
-# 10. 啟動 Production Service
-log_info "啟動 Production Service..."
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-
-# 11. 驗證
-sleep 3
-if curl -s http://localhost:3002/health > /dev/null; then
-  log_info "✓ Release 成功！"
-  log_info "版本: ${BUILD_VERSION}"
-  log_info "目錄: ${BUILD_DIR}"
-else
-  log_error "✗ Release 失敗！請檢查服務狀態。"
-  exit 1
-fi
-```
-
----
-
-## 查詢版本指令
-
-### 查詢目前版本
-```bash
-cat /Users/accusys/momentry/versions/current/version.json
-```
-
-### 查詢所有 Release
-```bash
-ls -la /Users/accusys/momentry/versions/releases/
-```
-
-### 查詢版本歷史
-```bash
-cat /Users/accusys/momentry/versions/changelog.json | python3 -m json.tool
-```
-
-### 查詢特定主版本
-```bash
-ls /Users/accusys/momentry/versions/releases/v0.1/
-```
-
----
-
-## 版本狀態
-
-| 狀態 | 說明 |
-|------|------|
-| `building` | 建置中 |
-| `built` | 已建置，未部署 |
-| `testing` | 測試中 |
-| `production` | 正式環境使用中 |
-| `deprecated` | 已棄用 |
-| `archived` | 已封存 |
-
----
-
-## 版本流程圖
-
-```
-develop (git branch)
-    │
-    ▼
-feature/bugfix commit
-    │
-    ▼
-develop ──────────────────┐
-    │                    │
-    │ (merge to main)   │
-    ▼                    │
-main (git)               │
-    │                    │
-    ▼                    │
-Build v0.1.20260325_143000
-    │                    │
-    ├──► testing (3003) │
-    │                    │
-    │ (approve)          │
-    ▼                    ▼
-v0.1 ───────────────────┘
-    │
-    ├──► releases/v0.1/v0.1.20260325_143000/
-    │
-    ├──► current/ (production)
-    │
-    ▼
-changelog.json (update)
-```
-
----
-
-## Release Note (版本發布說明)
-
-### Release Note 存放位置
-
-```
-/Users/accusys/momentry/versions/releases/{主版本}/{建置版本}/
-├── binary
-├── version.json
-└── RELEASE_NOTE.md    # 發布說明 (Markdown)
-```
-
-### Release Note 範本
-
-```markdown
-# Momentry Core v0.1.20260325_143000 Release Note
-
-## 版本資訊
-- **Build Version**: v0.1.20260325_143000
-- **Main Version**: v0.1
-- **Build Date**: 2026-03-25 14:30:00
-- **Git Commit**: 83ae050
-
-## 新功能 (Features)
-
-### API Key 認證系統
-- 添加 API Key 認證中介層
-- 所有 `/api/v1/*` 端點需要 `X-API-Key` header
-- 支援 API Key 使用追蹤和審計日誌
-
-### Job Worker 系統
-- 新增 Job Worker 二進位檔
-- 支援最多 2 個並發處理器
-- 新增 `/api/v1/jobs/:uuid` 端點查詢任務詳情
-
-## 錯誤修復 (Bug Fixes)
-
-| Issue | 描述 |
-|-------|------|
-| #001 | 修復 `get_processor_results_by_job` 欄位映射錯誤 |
-| #002 | 修復 API Key 驗證時區處理問題 |
-
-## API 變更 (API Changes)
-
-### 新增端點
-| Method | Endpoint | 說明 |
-|--------|----------|------|
-| GET | `/api/v1/jobs` | 取得所有任務列表 |
-| GET | `/api/v1/jobs/:uuid` | 取得特定任務詳情 |
-
-### 認證變更
-| 端點 | 舊版 | 新版 |
-|------|------|------|
-| `/api/v1/*` | 公開 | 需要 API Key |
-
-## 升級指南
-
-### 從舊版升級
-1. 備份當前版本
-2. 停止服務
-3. 替換 binary
-4. 重啟服務
-5. 更新 API Key 配置
-
-### API Key 配置
-```bash
-# 請求範例
-curl -H "X-API-Key: your_api_key" \
-  "http://localhost:3002/api/v1/videos"
-```
-
-## 已知問題 (Known Issues)
-
-- 暫無
-
-## 相關文檔
-
-- [API 文檔](../docs/API_INDEX.md)
-- [版本管理規範](../docs/VERSION_MANAGEMENT.md)
-
----
-
-## Release Note 自動生成 Script
-
-### /Users/accusys/momentry/scripts/generate_release_note.sh
-
-```bash
-#!/bin/bash
-set -e
-
-BUILD_VERSION=$1
-MAIN_VERSION=$2
-BUILD_DIR="/Users/accusys/momentry/versions/releases/${MAIN_VERSION}/${BUILD_VERSION}"
-
-# 取得 Git 資訊
-GIT_COMMITS=$(git log --oneline -10)
-GIT_CHANGES=$(git diff --stat HEAD~5..HEAD)
-
-cat > "${BUILD_DIR}/RELEASE_NOTE.md" << EOF
-# Momentry Core ${BUILD_VERSION} Release Note
-
-## 版本資訊
-- **Build Version**: ${BUILD_VERSION}
-- **Main Version**: ${MAIN_VERSION}
-- **Build Date**: $(date '+%Y-%m-%d %H:%M:%S')
-- **Git Commit**: $(git rev-parse --short HEAD)
-
-## 變更內容
-
-### Commit 記錄
-\`\`\`
-${GIT_COMMITS}
-\`\`\`
-
-### 變更統計
-\`\`\`
-${GIT_CHANGES}
-\`\`\`
-
-## 新功能
-
-## 錯誤修復
-
-## API 變更
-
-## 升級指南
-
-## 已知問題
-
-EOF
-
-echo "Release Note 生成完成: ${BUILD_DIR}/RELEASE_NOTE.md"
-```
-
----
-
-## Release Note 查詢
-
-### 查詢所有 Release Note
-```bash
-find /Users/accusys/momentry/versions/releases -name "RELEASE_NOTE.md"
-```
-
-### 查看特定版本 Release Note
-```bash
-cat /Users/accusys/momentry/versions/releases/v0.1/v0.1.20260325_143000/RELEASE_NOTE.md
-```
-
-### 查詢最新版本 Release Note
-```bash
-cat /Users/accusys/momentry/versions/current/RELEASE_NOTE.md
-```
-
----
-
-## Release Note 範例
-
-### 完整 Release Note 範例
-
-\`\`\`markdown
-# Momentry Core v0.1.20260325_143000 Release Note
-
-## 版本資訊
-| 項目 | 內容 |
-|------|------|
-| Build Version | v0.1.20260325_143000 |
-| Main Version | v0.1 |
-| Build Date | 2026-03-25 14:30:00 |
-| Git Commit | 83ae050 |
-| Status | ✅ Production |
-
-## 新功能 (Features)
-
-### 1. API Key 認證系統
-添加完整的 API Key 認證系統，保護所有 API 端點。
-
-**功能:**
-- SHA256 key hash 驗證
-- 使用統計追蹤
-- 審計日誌記錄
-- 異常檢測
-
-**API 使用方式:**
-\`\`\`bash
-curl -H "X-API-Key: your_key" \\
-  "http://localhost:3002/api/v1/videos"
-\`\`\`
-
-### 2. Job Worker 系統
-新增獨立的 Job Worker 處理影片處理任務。
-
-**特性:**
-- 最多 2 個並發處理器
-- Polling-based 任務獲取
-- 自動進度追蹤
-
-## 錯誤修復 (Bug Fixes)
-
-| Issue | 描述 | 嚴重性 |
-|-------|------|--------|
-| #001 | 修復 `get_processor_results_by_job` TIMESTAMP 欄位映射 | 🔴 高 |
-| #002 | 修復 3002 port 衝突問題 | 🟡 中 |
-
-## API 變更
-
-### 新增端點
-| Method | Endpoint | 說明 |
-|--------|----------|------|
-| GET | `/api/v1/jobs` | 取得任務列表 |
-| GET | `/api/v1/jobs/:uuid` | 取得任務詳情 |
-
-### 端點認證狀態
-| 端點 | 認證需求 |
-|------|----------|
-| `/health` | ❌ 不需要 |
-| `/api/v1/*` | ✅ 需要 `X-API-Key` |
-
-## 升級指南
-
-### 前置需求
-- PostgreSQL 資料庫
-- Redis 伺服器
-- MongoDB 快取
-
-### 升級步驟
-1. **備份當前版本**
-   \`\`\`bash
-   cp /Users/accusys/momentry/bin/momentry \\
-     /Users/accusys/momentry/backup/bin/momentry_$(date +%Y%m%d)
-   \`\`\`
-
-2. **停止服務**
-   \`\`\`bash
-   sudo launchctl unload /Library/LaunchDaemons/com.momentry.api.plist
-   \`\`\`
-
-3. **替換 Binary**
-   \`\`\`bash
-   cp v0.1.20260325_143000/binary /Users/accusys/momentry/bin/momentry
-   \`\`\`
-
-4. **重啟服務**
-   \`\`\`bash
-   sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-   \`\`\`
-
-5. **驗證**
-   \`\`\`bash
-   curl http://localhost:3002/health
-   \`\`\`
-
-## 已知問題 (Known Issues)
-
-- 暫無
-
-## 技術細節
-
-### 認證流程
-\`\`\`
-Client Request
-     │
-     ▼
-[X-API-Key Header] ──► Middleware
-     │                        │
-     │                        ▼
-     │                   Hash Key (SHA256)
-     │                        │
-     │                        ▼
-     │                   DB Lookup
-     │                        │
-     │                        ▼
-     │                   Validate Status
-     │                        │
-     ▼                        ▼
-Handler ◄────────────────────┘
-\`\`\`
-
-### 資料庫變更
-\`\`\`sql
--- 新增 duration_secs 欄位
-ALTER TABLE processor_results 
-ADD COLUMN IF NOT EXISTS duration_secs DOUBLE PRECISION;
-\`\`\`
-
-## 回滾指南
-
-如需回滾到上一版本：
-\`\`\`bash
-# 1. 停止服務
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.api.plist
-
-# 2. 恢復舊版
-cp /Users/accusys/momentry/backup/bin/momentry_v0.1.20260324_100000 \\
-   /Users/accusys/momentry/bin/momentry
-
-# 3. 重啟服務
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-\`\`\`
-
-## 聯繫與支援
-
-- **Issue Tracker**: https://gitea.momentry.ddns.net/momentry/momentry_core/issues
-- **文檔**: https://docs.momentry.ddns.net
-
----
-
-*Generated: $(date '+%Y-%m-%d %H:%M:%S')*
-\`\`\`
-
-```

docs/CHARADE_FACE_MATCHING_EXPERIENCE.md

@@ -0,0 +1,255 @@
+# Charade 臉部匹配經驗總結
+
+## 背景
+
+Charade (1963) 影片 `a6fb22eebefaef17e62af874997c5944` 有 62,298 個人臉偵測結果，分布在 4,378 個 trace 中（TKG face tracker 輸出）。目標是將每張臉匹配到正確的 TMDb 演員 identity。
+
+## 問題
+
+### 1. Rust Pipeline (`face_agent.rs`) 的 Snowball 效應
+
+原始 pipeline 透過多輪 propagation 來匹配：
+- Seed embedding 匹配 → propagation rounds (2-10 輪)
+- 每輪把已匹配的 face 當作新 seed 繼續擴散
+- 結果：**Antonio Passalia 被匹配 18,821 張臉**（實際應 < 50）
+- 原因：propagation 會放大初始匹配中的假陽性
+
+### 2. Dev 資料庫污染
+
+`dev` schema 的 `identity_bindings` 表：
+- 所有 trace-type binding 的 `file_uuid` 都是 NULL（12,828 行）
+- 這些 binding 只對應已刪除的 CCBN 檔案 (`63acd3bb`)
+- **完全無法用於 sync 到 public schema**
+
+### 3. TMDb Seed Embedding 品質不均
+
+22/23 個 TMDb identity 有 face_embedding（Thomas Chelimsky 因無 TMDb 照片而缺少）。但這些 seed 來自單一 TMDb 照片，品質差異大：
+
+| Identity | Seed 品質 | 問題 |
+|----------|:---------:|:----:|
+| Audrey Hepburn | ✅ 高 | 特徵明顯，易區分 |
+| Cary Grant | ✅ 中 | 但 Charade 造型與 seed 照片有差異 |
+| Walter Matthau | ❌ 低 | Seed 照片與 Charade 形象差異大 |
+| Bernard Musson | ❌ 泛用 | 「典型白人男性」— seed 太泛用 |
+| Antonio Passalia | ❌ 泛用 | 同上 |
+
+## 解決方案演進
+
+### V1：直接 pgvector 比對 (threshold 0.50)
+
+```sql
+CROSS JOIN LATERAL (
+  SELECT i.id FROM identities i
+  WHERE 1 - (embedding <=> i.face_embedding) >= 0.50
+  ORDER BY 1 - (embedding <=> i.face_embedding) DESC LIMIT 1
+)
+```
+
+**結果**：17,066 匹配 (27.4%)
+- ✅ Audrey 9,550 (正確)
+- ✅ Antonio 降為 151 (不再 snowball)
+- ❌ Bernard Musson 847／Paul Bonifas 273 — generic seed 假陽性
+- ❌ trace-level 衝突（同一 trace 多個 identity）
+- ❌ Walter Matthau 僅 535（seed 不準導致 recall 低）
+
+### V2：Trace Conflict Cleanup
+
+在 V1 之後，對每個 conflict trace 做多數決 → 清除 minority identity。
+
+**結果**：移除 836 個污染臉
+- ✅ trace-level 衝突降為 0
+- ❌ Bernard Musson 仍保留 847（trace 內獨佔）
+- ❌ 無法解決 generic seed 的根本問題
+
+### V3：雙階段 Centroid Matching
+
+設計：
+
+```
+Phase 1: Seed matching @ 0.55 (stricter) → 乾淨 base set
+Phase 2: Centroid matching @ 0.45 → 用電影內平均臉擴張 recall
+```
+
+**結果**：27,375 匹配 (43.9%) → trace cleanup → 24,286 (39.0%)
+- ✅ Audrey 11,347 (+19%)
+- ✅ Cary Grant 3,107 (+56%)
+- ✅ Walter Matthau 1,200 (+124%) — centroid 修正 seed!
+- ❌ **Bernard Musson 2,903 (+243%)** — centroid 放大 generic seed
+- ❌ **Antonio Passalia 898 (+642%)** — 同上
+
+**教訓**：Generic seed 的 centroid 更泛用。Phase 2 的低 threshold 讓問題惡化。
+
+### V4：雙重驗證 (Dual Gate)
+
+在 V3 的 Phase 2 加上 seed_sim >= 0.40 條件：
+
+```
+centroid_sim >= 0.45 AND seed_sim >= 0.40
+```
+
+**結果**：23,023 匹配 → gap cleanup → trace cleanup → **22,548 (36.2%)**
+- ✅ Bernard / Paul / Antonio / Michel / Clément / Raoul / Roger 仍偏高但 avg_seed_sim 改善
+
+### V5（最終版）：排除 7 個 Generic Identity
+
+核心洞察：**與其過濾假陽性，不如不讓 generic seed 參賽**。
+
+只保留 11 個可靠的 TMDb identity，排除 7 個：
+- 排除：Bernard Musson · Paul Bonifas · Michel Thomass · Antonio Passalia · Clément Harari · Raoul Delfosse · Roger Trapp
+- 保留：Audrey · Cary · James Coburn · Jacques Marin · Walter Matthau · George Kennedy · Dominique Minot · Monte Landis · Stanley Donen · Ned Glass · Louis Viret
+
+流程：
+
+```
+1. Clear all assignments
+2. Phase 1 @ 0.55 — only against 11 identities
+3. Compute centroids
+4. Phase 2 — centroid>=0.45 AND seed>=0.40 (11 centroids)
+5. Ambiguity gate (top2 gap < 0.04 → NULL)
+6. Trace conflict cleanup
+```
+
+**最終結果**：
+
+| Identity | 最終 faces | traces | fpt | avg_sim |
+|----------|:----------:|:------:|:---:|:-------:|
+| Audrey Hepburn | 11,325 | 438 | 25.9 | 0.608 |
+| Cary Grant | **5,101** ≪ 大幅增加 | 269 | 19.0 | 0.497 |
+| James Coburn | 1,508 | 92 | 16.4 | 0.588 |
+| Jacques Marin | 1,438 | 84 | 17.1 | 0.631 |
+| Walter Matthau | 1,250 | 55 | 22.7 | 0.494 |
+| George Kennedy | 869 | 60 | 14.5 | 0.590 |
+| 排除的 7 個 | **0** ✅ | — | — | — |
+| Unassigned | 39,750 | — | — | — |
+
+**Cary Grant 從 3,107→5,101 (+64%)**：之前被 Bernard/Antonio 攔截的臉全部釋放。
+
+## 關鍵教訓
+
+### 1. Generic Seed 辨識
+
+可以透過以下指標辨識 generic seed：
+- **Phase 1 faces / traces 比例低**（< 5 fpt）
+- **被分配到大量短 trace**（表示非連續場景）
+- **avg_seed_sim 偏低但 face count 異常高**
+
+### 2. Propagation 是雙面刃
+
+Rust pipeline 的 propagation 可以增加 recall，但前提是 seed 要夠純。Generic seed + propagation = snowball。
+
+### 3. Seed 數量 vs 品質
+
+> 不是 identity 越多越好。11 個好 seed 勝過 22 個（含 7 個壞的）。
+
+壞 seed 會攔截好 seed 的配對。排除壞 seed 後，那些臉自然會配到正確的人。
+
+### 4. Centroid Matching 的適用條件
+
+Centroid matching 只有在以下情況才有效：
+- Centroid 來自高信賴的 Phase 1 配對（threshold >= 0.55）
+- Centroid 的 Phase 1 base set > 200 faces
+- 搭配 seed_sim dual gate 防止 centroid 飄移
+
+### 5. Trace Context 的重要性
+
+- 一個 trace = 同一人（face tracker 保證）
+- Trace-level conflict cleanup 是必要的後處理
+- 但無法解決 trace 層級以下（同一 trace 內）的 contamination
+
+## 可改進的方向
+
+### 短期
+
+1. **手動檢查 Cary Grant 的 5,101 faces**：avg_sim 0.497 偏低，部分可能是假陽性
+2. **補回已被排除的 identity**：對 Bernard Musson 等用更高 threshold（如 0.60 seed）只看能否 match 到少數高信賴臉
+3. **降低 Ambiguity Gate threshold**：從 0.04 降到 0.03 可再清除一批邊緣配對
+
+### 中期
+
+4. **多 seed 策略**：對每個 identity 用 3-5 張 TMDb 照片，取 centroid 作為 seed
+5. **場景約束**：利用 shot boundary 資訊限制跨場景的 identity 分配
+6. **雙向驗證**：同時用 face→identity 和 identity→trace 兩種方向互相驗證
+
+### 長期
+
+7. **取代 pgvector face-level matching**：改用 trace-level embedding（同一 trace 的所有 face 取平均），再對 trace 做 identity 匹配，減少 single-frame noise
+
+## SQL 核心語法
+
+### pgvector Nearest Neighbor
+
+```sql
+SELECT fd.id, m.identity_id
+FROM eligible fd
+CROSS JOIN LATERAL (
+  SELECT i.id FROM identities i
+  WHERE 1 - (fd.embedding::vector <=> i.face_embedding) >= {threshold}
+  ORDER BY 1 - (fd.embedding::vector <=> i.face_embedding) DESC
+  LIMIT 1
+) m
+```
+
+### Centroid 計算
+
+```sql
+CREATE TABLE centroids AS
+SELECT identity_id, AVG(embedding::vector) as centroid
+FROM face_detections
+WHERE file_uuid = '{uuid}' AND identity_id IS NOT NULL
+GROUP BY identity_id
+HAVING COUNT(*) >= 5;
+```
+
+### Trace Conflict Cleanup
+
+```sql
+WITH conflict_traces AS (
+  SELECT trace_id FROM face_detections
+  WHERE file_uuid = '{uuid}' AND identity_id IS NOT NULL
+  GROUP BY trace_id HAVING COUNT(DISTINCT identity_id) > 1
+),
+trace_majority AS (
+  SELECT DISTINCT ON (ct.trace_id) ct.trace_id, fd.identity_id
+  FROM conflict_traces ct
+  JOIN face_detections fd ON fd.trace_id = ct.trace_id
+  WHERE fd.file_uuid = '{uuid}' AND fd.identity_id IS NOT NULL
+  GROUP BY ct.trace_id, fd.identity_id
+  ORDER BY ct.trace_id, COUNT(*) DESC
+)
+UPDATE face_detections fd SET identity_id = NULL
+FROM trace_majority tm
+WHERE fd.file_uuid = '{uuid}' AND fd.trace_id = tm.trace_id
+  AND fd.identity_id != tm.identity_id;
+```
+
+### Ambiguity Gate
+
+```sql
+WITH all_sims AS (
+  SELECT fd.id, c.identity_id,
+         1 - (fd.embedding::vector <=> c.centroid) as sim
+  FROM face_detections fd
+  CROSS JOIN centroids c
+  WHERE fd.file_uuid = '{uuid}' AND fd.identity_id IS NOT NULL
+),
+ranked AS (
+  SELECT id, sim, LEAD(sim) OVER (PARTITION BY id ORDER BY sim DESC) as sim2
+  FROM all_sims
+),
+ambiguous AS (
+  SELECT id FROM ranked
+  WHERE rn = 1 AND sim - COALESCE(sim2, 0) < 0.04
+)
+UPDATE face_detections fd SET identity_id = NULL
+FROM ambiguous a WHERE fd.id = a.id;
+```
+
+## 資料庫備份
+
+每次關鍵操作都有備份：
+
+| Backup | Rows | 內容 |
+|--------|:----:|:------|
+| `fd_charade_bak` | 62,298 | 原始無 identity 的 Charade face_detections |
+| `fd_state_bak2` | 24,286 | V5 執行前的 assignment snapshot |
+| `wp_snippets_backup_20260601_11940.sql` | — | WordPress snippets 備份 |

docs/CHUNK_DATA_STRUCTURE.md

@@ -1,379 +0,0 @@
-# Momentry Chunk 資料結構說明
-
-> **對象**: marcom 團隊  
-> **版本**: V1.0 | **日期**: 2026-03-25
-
----
-
-## 1. 什麼是 Chunk？
-
-Chunk（片段）是影片處理後的最小單位。當影片上傳後，系統會自動：
-
-1. **分析** - 偵測場景、人臉、姿態
-2. **轉換** - 語音轉文字（ASR）
-3. **分段** - 將內容切割成可搜尋的片段
-4. **向量化** - 產生可搜尋的特徵向量
-
-每個 Chunk 就是一個**可獨立搜尋的內容單位**。
-
----
-
-## 2. Chunk 資料結構
-
-### 2.1 主要欄位
-
-| 欄位名 | 類型 | 說明 | 範例 |
-|--------|------|------|------|
-| `uuid` | 字串 (32) | 影片唯一識別碼 | `952f5854b9febad1` |
-| `chunk_id` | 字串 (64) | Chunk 唯一識別碼 | `asr_00001` |
-| `chunk_index` | 整數 | Chunk 順序號碼 | `1` |
-| `chunk_type` | 字串 (32) | Chunk 類型 | `sentence` |
-| `start_time` | 浮點數 | 開始時間（秒） | `12.5` |
-| `end_time` | 浮點數 | 結束時間（秒） | `18.3` |
-| `content` | JSONB | 詳細內容 | 見下方 |
-| `vector_id` | 字串 (64) | 向量 ID | `vec_12345` |
-| `text_content` | 文字 | 純文字內容 | `這是一段話` |
-| `fps` | 浮點數 | 影片幀率 | `24.0` |
-| `start_frame` | 整數 | 開始幀數 | `300` |
-| `end_frame` | 整數 | 結束幀數 | `439` |
-| `frame_count` | 整數 | 總幀數 | `139` |
-
-### 2.2 Chunk 類型說明
-
-| 類型 | ID | 說明 | 來源處理器 |
-|------|-----|------|-----------|
-| `sentence` | `sentence` | 語音轉文字片段 | ASR 處理 |
-| `time` | `time_based` | 固定時間分段 | 系統自動切割 |
-| `cut` | `cut` | 場景變化片段 | CUT 處理 |
-| `trace` | `trace` | 軌跡追蹤片段 | YOLO 追蹤處理 |
-| `story` | `story` | 故事線片段（父子區塊） | Story 分析處理 |
-
-**父子區塊關係**：
-- `story` 是**父區塊**，可包含多個 `sentence`、`cut`、`trace` 子區塊
-- 透過 `parent_chunk_id` 和 `child_chunk_ids` 建立階層關係
-
----
-
-## 3. Content JSON 結構
-
-每個 Chunk 的 `content` 欄位包含詳細的處理結果：
-
-### 3.1 ASR Chunk（語音轉文字）
-
-```json
-{
-  "text": "今天天氣非常好，我們去郊外踏青吧",
-  "words": [
-    {
-      "word": "今天",
-      "start": 12.5,
-      "end": 12.8,
-      "confidence": 0.95
-    },
-    {
-      "word": "天氣",
-      "start": 12.8,
-      "end": 13.1,
-      "confidence": 0.92
-    }
-  ],
-  "language": "zh-TW",
-  "speaker": null
-}
-```
-
-### 3.2 Cut Chunk（場景偵測）
-
-```json
-{
-  "scenes": [
-    {
-      "scene_id": "cut_001",
-      "start_time": 12.5,
-      "end_time": 45.2,
-      "transition": "cut",
-      "confidence": 0.98
-    }
-  ]
-}
-```
-
-### 3.3 Trace Chunk（軌跡追蹤）
-
-```json
-{
-  "track_id": "track_001",
-  "object_class": "person",
-  "frames": [
-    {
-      "frame": 300,
-      "bbox": [120, 80, 200, 300],
-      "confidence": 0.95
-    },
-    {
-      "frame": 301,
-      "bbox": [122, 82, 202, 302],
-      "confidence": 0.94
-    }
-  ],
-  "total_frames": 180
-}
-```
-
-### 3.4 Story Chunk（故事線）
-
-```json
-{
-  "story_id": "story_001",
-  "title": "開場介紹",
-  "summary": "主持人介紹節目主題",
-  "child_chunk_ids": ["sentence_00001", "sentence_00002", "cut_00001"],
-  "tags": ["intro", "host"]
-}
-```
-
-### 3.5 Metadata（其他偵測資訊）
-
-人臉（Face）、文字辨識（OCR）、姿態（Pose）等偵測結果會附加在 `metadata` 欄位：
-
-```json
-{
-  "metadata": {
-    "faces": [
-      {
-        "bbox": [120, 80, 200, 180],
-        "confidence": 0.87,
-        "emotion": "neutral"
-      }
-    ],
-    "ocr": {
-      "text": "MOMENTRY",
-      "confidence": 0.96
-    },
-    "pose": {
-      "keypoints": [
-        {"name": "nose", "x": 192, "y": 85, "confidence": 0.95}
-      ]
-    }
-  }
-}
-```
-
----
-
-## 4. 時間格式說明
-
-### 4.1 秒數格式（常用）
-
-```
-格式: 秒.幀數
-範例: 1234.60 = 第 1234 秒 + 第 60 幀
-```
-
-### 4.2 時間軸格式
-
-```
-格式: HH:MM:SS.FF
-範例: 00:20:34.12 = 20分34秒12幀
-```
-
-### 4.3 幀數計算
-
-```
-幀數 = 秒數 × fps
-例如: 12.5秒 × 24fps = 300幀
-```
-
----
-
-## 5. 實際資料範例
-
-假設有一個影片，包含以下處理結果：
-
-### 5.1 語音片段
-
-```json
-{
-  "uuid": "952f5854b9febad1",
-  "chunk_id": "asr_00001",
-  "chunk_type": "sentence",
-  "start_time": 12.5,
-  "end_time": 18.3,
-  "content": {
-    "text": "今天天氣非常好，我們去郊外踏青吧",
-    "language": "zh-TW"
-  },
-  "text_content": "今天天氣非常好，我們去郊外踏青吧",
-  "start_frame": 300,
-  "end_frame": 439,
-  "fps": 24.0
-}
-```
-
-### 5.2 場景片段
-
-```json
-{
-  "uuid": "952f5854b9febad1",
-  "chunk_id": "cut_00001",
-  "chunk_type": "cut",
-  "start_time": 45.0,
-  "end_time": 120.5,
-  "content": {
-    "scenes": [{
-      "scene_id": "cut_001",
-      "transition": "cut",
-      "confidence": 0.98
-    }]
-  },
-  "start_frame": 1080,
-  "end_frame": 2892,
-  "fps": 24.0
-}
-```
-
----
-
-## 6. 如何使用 Chunk
-
-### 6.1 API 取得 Chunk
-
-使用搜尋 API 取得 Chunk：
-
-```bash
-curl -X POST "https://api.momentry.ddns.net/api/v1/search" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -H "Content-Type: application/json" \
-  -d '{
-    "query": "關鍵字",
-    "limit": 10
-  }'
-```
-
-**指定影片搜尋**：
-```bash
-curl -X POST "https://api.momentry.ddns.net/api/v1/search" \
-  -H "X-API-Key: YOUR_API_KEY" \
-  -H "Content-Type: application/json" \
-  -d '{
-    "query": "關鍵字",
-    "uuid": "39567a0eb16f39fd",
-    "limit": 5
-  }'
-```
-
-### 6.2 搜尋相關片段
-
-當使用者搜尋「天氣」時，系統會：
-
-1. 將「天氣」轉換為向量
-2. 在向量資料庫中搜尋相似向量
-3. 找到相關的 Chunk
-4. 返回時間軸和內容
-
-### 6.3 播放指定片段
-
-取得 Chunk 後可播放：
-
-```
-開始時間: 12.5 秒
-結束時間: 18.3 秒
-影片 UUID: 39567a0eb16f39fd
-```
-
-**播放器連結格式**：
-```
-/player?uuid={uuid}&start={start_time}&end={end_time}
-```
-
-### 6.4 組合多個 Chunk
-
-多個相關 Chunk 可以組合成一個章節或故事線。
-
-### 6.5 Story Chunk（父子關係）
-
-Story Chunk 可包含多個子 Chunk：
-
-```json
-{
-  "chunk_id": "story_001",
-  "chunk_type": "story",
-  "content": {
-    "story_id": "story_001",
-    "title": "開場介紹",
-    "child_chunk_ids": ["sentence_00001", "sentence_00002", "cut_00001"]
-  }
-}
-```
-
----
-
-## 7. API 回應格式
-
-### /search 回應
-
-```json
-{
-  "results": [
-    {
-      "uuid": "39567a0eb16f39fd",
-      "chunk_id": "sentence_1471",
-      "chunk_type": "sentence",
-      "start_time": 5309.08,
-      "end_time": 5311.08,
-      "text": "influenced by a vital way,",
-      "score": 0.68
-    }
-  ],
-  "query": "關鍵字"
-}
-```
-
-### /n8n/search 回應
-
-```json
-{
-  "query": "關鍵字",
-  "count": 1,
-  "hits": [
-    {
-      "id": "sentence_1471",
-      "vid": "39567a0eb16f39fd",
-      "start": 5309.08,
-      "end": 5311.08,
-      "title": "Chunk sentence_1471",
-      "text": "influenced by a vital way,",
-      "score": 0.68,
-      "file_path": "/Users/accusys/momentry/var/sftpgo/data/demo/video.mp4"
-    }
-  ]
-}
-```
-
-> **注意**: `file_path` 是影片的實際路徑，可用於本地播放。
-
----
-
-## 8. 快速參考
-
-| 項目 | 說明 |
-|------|------|
-| UUID | 影片唯一識別碼（16位 hex） |
-| Chunk ID | 片段識別碼（如 `sentence_00001`） |
-| chunk_type | 片段類型（sentence/time/cut/trace/story） |
-| start_time | 開始時間（秒） |
-| end_time | 結束時間（秒） |
-| text_content | 純文字內容 |
-| content | 詳細 JSON 結構 |
-| metadata | 人臉、OCR、姿態等偵測結果 |
-| parent_chunk_id | 父區塊 ID（用於 story 區塊） |
-| child_chunk_ids | 子區塊 ID 列表（story 區塊專用） | |
-
----
-
-## 附錄：版本歷史
-
-| 版本 | 日期 | 內容 | 操作人 |
-|------|------|------|--------|
-| V1.0 | 2026-03-25 | 初版建立 | OpenCode |
-| V1.1 | 2026-03-25 | 新增 API 取得 Chunk 方式、播放連結格式 | OpenCode |

docs/CHUNK_DESIGN.md

@@ -1,534 +0,0 @@
-# Momentry Core 數據管理設計文檔 (v4)
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | Warren |
-| 建立時間 | 2026-03-17 |
-| 文件版本 | V1.0 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.0 | 2026-03-17 | 創建文件 | Warren | OpenCode / MiniMax M2.5 |
-
----
-
-## 0. 核心概念：雙 UUID 系統
-
-為減少資料庫大小，在現有的 videos 表中增加內部 ID 映射：
-
-### 0.1 設計原則
-
-- **external_uuid**: 用戶可見的識別碼（如 UUID）
-- **id**: 資料庫自動產生的內部 ID (SERIAL)，節省空間
-- **映射關係**: 透過 videos 表的 `id` 欄位關聯
-
-### 0.2 videos 表 (檔案映射表)
-
-現有結構，增加 `id` 作為內部 ID：
-
-```sql
--- 現有 videos 表結構
-CREATE TABLE videos (
-    id              SERIAL PRIMARY KEY,          -- 內部 ID (自動產生)
-    uuid            VARCHAR(32) UNIQUE NOT NULL, -- 外部 UUID (用戶可見)
-    file_name       VARCHAR(255) NOT NULL,
-    file_path       TEXT,
-    duration        DOUBLE PRECISION,
-    width           INTEGER,
-    height          INTEGER,
-    fps             DOUBLE PRECISION,
-    probe_json      JSONB,
-    created_at      TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-    updated_at      TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-);
-
-CREATE INDEX idx_videos_uuid ON videos(uuid);
-```
-
-### 0.3 對照的好處
-
-| 方式 | 儲存空間 (1000個視頻，每個1000個chunk) |
-|------|---------------------------------------|
-| 直接用 uuid (32字元) | ~32MB |
-| 使用 id (4字元) | ~4MB |
-
-## 1. 數據流架構
-
-```
-┌─────────────────────────────────────────────────────────────────────────────┐
-│                              輸入階段                                        │
-│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐      │
-│  │ 視頻文件    │→ │   ffprobe   │  │    ASR      │  │   YOLO      │      │
-│  │  (.mp4)    │→ │  (probe)   │→ │   (asr)    │→ │  (yolo)    │      │
-│  └─────────────┘  └─────────────┘  └─────────────┘  └─────────────┘      │
-│                                                                             │
-│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐      │
-│  │    ASRX     │  │    CUT      │  │    OCR      │  │   FACE      │      │
-│  │  (asrx)    │→ │   (cut)    │→ │   (ocr)    │→ │  (face)    │      │
-│  └─────────────┘  └─────────────┘  └─────────────┘  └─────────────┘      │
-└─────────────────────────────────────────────────────────────────────────────┘
-                                    ↓
-┌─────────────────────────────────────────────────────────────────────────────┐
-│                        Pre-Chunk / Frame 階段                               │
-│                                                                             │
-│  ┌─────────────────────────────────────────────────────────────────────┐   │
-│  │                    pre_chunks 表                                      │   │
-│  │  file_id → videos.id (FK)                                            │   │
-│  │  ┌─────────────────────────────────────────────────────────────┐    │   │
-│  │  │ type=sentence  │ from asr, asrx  │ 句子邊界範圍               │    │   │
-│  │  │ type=cut      │ from cut detection │ 場景切換範圍           │    │   │
-│  │  │ type=time     │ from time split   │ 固定時間範圍 (10s)      │    │   │
-│  │  │ type=trace    │ from yolo trace   │ 物件追蹤範圍           │    │   │
-│  │  └─────────────────────────────────────────────────────────────┘    │   │
-│  └─────────────────────────────────────────────────────────────────────┘   │
-│                                                                             │
-│  ┌─────────────────────────────────────────────────────────────────────┐   │
-│  │                      frames 表                                        │   │
-│  │  file_id → videos.id (FK)                                           │   │
-│  │  - yolo 每幀識別結果                                                  │   │
-│  │  - ocr 每幀識別結果                                                  │   │
-│  │  - face 每幀識別結果 (如需要)                                        │   │
-│  │  - 單一圖像識別結果 → 直接入 frame                                    │   │
-│  └─────────────────────────────────────────────────────────────────────┘   │
-└─────────────────────────────────────────────────────────────────────────────┘
-                                    ↓
-┌─────────────────────────────────────────────────────────────────────────────┐
-│                            Chunk 階段                                        │
-│                                                                             │
-│  ┌─────────────────────────────────────────────────────────────────────┐   │
-│  │                       chunks 表                                       │   │
-│  │  file_id → videos.id (FK)                                           │   │
-│  │                                                                       │   │
-│  │  組合規則1: pre_chunk → chunk (直接轉換)                               │   │
-│  │  ┌─────────────────────────────────────────────────────────────┐    │   │
-│  │  │ sentence_pre_chunk → sentence_chunk                         │    │   │
-│  │  │ cut_pre_chunk     → cut_chunk                               │    │   │
-│  │  │ time_pre_chunk    → time_chunk                              │    │   │
-│  │  │ trace_pre_chunk   → trace_chunk                             │    │   │
-│  │  └─────────────────────────────────────────────────────────────┘    │   │
-│  │                                                                       │   │
-│  │  組合規則2: pre_chunk + frame 內容 → chunk (集合內容)                  │   │
-│  │  ┌─────────────────────────────────────────────────────────────┐    │   │
-│  │  │ sentence_pre_chunk + 涵蓋範圍內的 frames → 豐富的 sentence_chunk   │    │   │
-│  │  │ time_pre_chunk    + 涵蓋範圍內的 frames → 豐富的 time_chunk      │    │   │
-│  │  └─────────────────────────────────────────────────────────────┘    │   │
-│  └─────────────────────────────────────────────────────────────────────┘   │
-└─────────────────────────────────────────────────────────────────────────────┘
-                                    ↓
-┌─────────────────────────────────────────────────────────────────────────────┐
-│                           Vector 階段                                        │
-│  ┌──────────────────────┐  ┌──────────────────────┐                      │
-│  │  PostgreSQL vectors  │  │    Qdrant vectors    │                      │
-│  │  (chunk_vectors)    │  │   (chunk_v3)        │                      │
-│  └──────────────────────┘  └──────────────────────┘                      │
-└─────────────────────────────────────────────────────────────────────────────┘
-```
-
-## 2. Pre-Chunk 類型定義
-
-### 2.1 Pre-Chunk 來源與類型對照表
-
-| 來源類型 | source_type | 產出 Pre-Chunk Type | 說明 |
-|---------|-------------|---------------------|------|
-| ASR ( Whisper ) | asr | sentence | 句子邊界 |
-| ASRX ( with timestamps ) | asrx | sentence | 帶時間戳的句子 |
-| CUT (場景檢測) | cut | cut | 場景切換點 |
-| TIME (固定時間) | time | time | 每 10 秒 |
-| YOLO Trace | yolo_trace | trace | 物件追蹤軌跡 |
-| YOLO (單幀) | yolo | **→ frame** | 不入 pre_chunk |
-| OCR (單幀) | ocr | **→ frame** | 不入 pre_chunk |
-| FACE (單幀) | face | **→ frame** | 不入 pre_chunk |
-| PROBE | probe | metadata | 視頻元數據 |
-
-### 2.2 Pre-Chunk Schema
-
-```sql
-CREATE TABLE pre_chunks (
-    id              SERIAL PRIMARY KEY,
-    
-    -- 檔案識別 (使用 videos 表的內部 ID 以節省空間)
-    file_id         INTEGER NOT NULL REFERENCES videos(id),
-    
-    -- 來源識別
-    source_type     VARCHAR(32) NOT NULL,  -- 'asr', 'asrx', 'cut', 'time', 'yolo_trace', 'probe'
-    source_file     TEXT,                   -- 原始 JSON 文件路徑
-    
-    -- Chunk 類型
-    chunk_type     VARCHAR(32) NOT NULL,   -- 'sentence', 'cut', 'time', 'trace'
-    
-    -- 時間範圍
-    start_time      DOUBLE PRECISION NOT NULL,
-    end_time        DOUBLE PRECISION NOT NULL,
-    
-    -- Frame 範圍 (精確到 frame)
-    start_frame     INTEGER NOT NULL,
-    end_frame       INTEGER NOT NULL,
-    
-    -- FPS (用於 frame 計算)
-    fps             DOUBLE PRECISION NOT NULL,
-    
-    -- 原始 JSON 內容
-    raw_json        JSONB NOT NULL,
-    
-    -- 解析後的文字內容 (如有)
-    text_content    TEXT,
-    
-    -- 處理狀態
-    processed       BOOLEAN DEFAULT FALSE,
-    chunk_id        VARCHAR(64),            -- 轉換後的 chunk_id
-    
-    created_at      TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-    
-    UNIQUE(file_id, source_type, start_frame, end_frame)
-);
-
-CREATE INDEX idx_pre_chunks_file_id ON pre_chunks(file_id);
-CREATE INDEX idx_pre_chunks_type ON pre_chunks(file_id, chunk_type);
-CREATE INDEX idx_pre_chunks_time ON pre_chunks(file_id, start_time, end_time);
-CREATE INDEX idx_pre_chunks_frame ON pre_chunks(file_id, start_frame, end_frame);
-CREATE INDEX idx_pre_chunks_processed ON pre_chunks(file_id, processed);
-```
-
-## 3. Frame 管理原則
-
-### 3.1 哪些數據進入 Frame
-
-只儲存**單一圖像識別**的結果：
-- YOLO 每幀檢測結果
-- OCR 每幀識別結果  
-- FACE 每幀檢測結果
-
-### 3.2 Frame Schema
-
-```sql
-CREATE TABLE frames (
-    id              SERIAL PRIMARY KEY,
-    
-    -- 檔案識別 (使用 videos 表的內部 ID 以節省空間)
-    file_id         INTEGER NOT NULL REFERENCES videos(id),
-    
-    frame_number    INTEGER NOT NULL,
-    timestamp       DOUBLE PRECISION NOT NULL,
-    fps             DOUBLE PRECISION NOT NULL,
-    
-    -- YOLO 結果 (JSONB 陣列)
-    yolo_objects    JSONB,
-    
-    -- OCR 結果 (JSONB 陣列)
-    ocr_results     JSONB,
-    
-    -- Face 結果 (JSONB 陣列)
-    face_results    JSONB,
-    
-    -- 原始幀圖像路徑 (可選)
-    frame_path      TEXT,
-    
-    created_at      TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-    
-    UNIQUE(file_id, frame_number)
-);
-
-CREATE INDEX idx_frames_file_id ON frames(file_id);
-CREATE INDEX idx_frames_frame ON frames(file_id, frame_number);
-CREATE INDEX idx_frames_timestamp ON frames(file_id, timestamp);
-```
-
-## 4. Chunk 組合規則
-
-### 4.1 組合規則 1: 直接轉換 (rule_1)
-
-將 pre_chunk 直接轉換為 chunk：
-
-```
-sentence_pre_chunk → sentence_chunk (rule: "rule_1")
-cut_pre_chunk     → cut_chunk     (rule: "rule_1")
-time_pre_chunk    → time_chunk    (rule: "rule_1")
-trace_pre_chunk   → trace_chunk   (rule: "rule_1")
-```
-
-### 4.2 組合規則 2: 集合內容 (rule_2)
-
-將 pre_chunk 與其時間區間內的所有 frame 識別結果集合：
-
-```
-sentence_pre_chunk + frames[在 start_time~end_time 範圍內] → 豐富的 sentence_chunk (rule: "rule_2")
-time_pre_chunk    + frames[在 start_time~end_time 範圍內] → 豐富的 time_chunk    (rule: "rule_2")
-```
-
-### 4.3 Chunk Schema
-
-```sql
-CREATE TABLE chunks (
-    id              SERIAL PRIMARY KEY,
-    
-    -- 檔案識別 (使用 videos 表的內部 ID 以節省空間)
-    file_id         INTEGER NOT NULL REFERENCES videos(id),
-    
-    chunk_id        VARCHAR(64) NOT NULL,
-    chunk_index     INTEGER NOT NULL,
-    chunk_type      VARCHAR(32) NOT NULL,  -- 'sentence', 'cut', 'time', 'trace'
-    
-    -- 組合規則 (payload 中記錄)
-    -- rule: 'rule_1' = 直接轉換, 'rule_2' = 集合內容
-    
-    -- 時間範圍
-    start_time      DOUBLE PRECISION NOT NULL,
-    end_time        DOUBLE PRECISION NOT NULL,
-    
-    -- Frame 範圍 (精確到 frame)
-    start_frame     INTEGER NOT NULL,
-    end_frame       INTEGER NOT NULL,
-    
-    -- FPS
-    fps             DOUBLE PRECISION NOT NULL,
-    
-    -- 主要內容
-    text_content    TEXT,
-    
-    -- 完整內容 (JSONB) - 包含 rule 欄位
-    content         JSONB NOT NULL,
-    
-    -- 來源的 pre_chunk IDs
-    pre_chunk_ids   INTEGER[],
-    
-    -- 包含的 frame 數量
-    frame_count     INTEGER DEFAULT 0,
-    
-    -- 向量 ID
-    vector_id       VARCHAR(64),
-    
-    created_at      TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-    
-    UNIQUE(file_id, chunk_id)
-);
-
-CREATE INDEX idx_chunks_file_id ON chunks(file_id);
-CREATE INDEX idx_chunks_type ON chunks(file_id, chunk_type);
-CREATE INDEX idx_chunks_time ON chunks(file_id, start_time, end_time);
-CREATE INDEX idx_chunks_frame ON chunks(file_id, start_frame, end_frame);
-CREATE INDEX idx_chunks_vector ON chunks(vector_id);
-```
-
-## 5. 處理流程範例
-
-### 5.1 輸入數據
-
-假設視頻長度 30 秒，fps=30：
-
-| 來源 | 產出 |
-|------|------|
-| ASR | 3 個 sentence_pre_chunk (每句約 10s) |
-| CUT | 2 個 cut_pre_chunk (場景 1, 場景 2) |
-| TIME | 3 個 time_pre_chunk (0-10s, 10-20s, 20-30s) |
-| YOLO | 900 個 frame 記錄 (每幀) |
-| OCR | 依實際識別結果入 frame |
-
-### 5.2 Chunk 產出
-
-**使用規則 1 (直接轉換):**
-- rule: "rule_1"
-- 3 個 sentence_chunk
-- 2 個 cut_chunk
-- 3 個 time_chunk
-
-**使用規則 2 (集合內容):**
-- rule: "rule_2"
-- 3 個 sentence_chunk (各含涵蓋時間範圍內的 yolo/ocr 結果)
-- 3 個 time_chunk (各含涵蓋時間範圍內的 yolo/ocr 結果)
-
-## 8. 數據示例
-
-### 8.1 videos 表 (檔案映射)
-
-```json
-{
-  "id": 1,
-  "uuid": "abc123def456",
-  "file_name": "video_001.mp4",
-  "file_path": "/path/to/video_001.mp4",
-  "duration": 300.5,
-  "width": 1920,
-  "height": 1080,
-  "fps": 30.0
-}
-```
-
-### 8.2 pre_chunks 表 (使用 file_id 關聯 videos)
-
-```json
-{
-  "file_id": 1,
-  "source_type": "asr",
-  "chunk_type": "sentence",
-  "start_time": 0.0,
-  "end_time": 5.5,
-  "start_frame": 0,
-  "end_frame": 165,
-  "fps": 30.0,
-  "raw_json": {...},
-  "text_content": "This is the first sentence"
-}
-```
-
-### 8.3 frames 表 (使用 file_id 關聯 videos)
-
-```json
-{
-  "file_id": 1,
-  "frame_number": 300,
-  "timestamp": 10.0,
-  "fps": 30.0,
-  "yolo_objects": [
-    {"class": "person", "confidence": 0.9, "bbox": [100, 50, 200, 150]},
-    {"class": "car", "confidence": 0.85, "bbox": [50, 100, 150, 180]}
-  ],
-  "ocr_results": [],
-  "face_results": []
-}
-```
-
-### 8.4 chunks 表 (使用 file_id 關聯 videos)
-
-```json
-{
-  "file_id": 1,
-  "chunk_id": "sentence_0001",
-  "chunk_type": "sentence",
-  "rule": "rule_2",
-  "start_time": 10.0,
-  "end_time": 15.5,
-  "start_frame": 300,
-  "end_frame": 465,
-  "fps": 30.0,
-  "text_content": "The second sentence from the audio",
-  "content": {
-    "rule": "rule_2",
-    "asr_text": "The second sentence from the audio",
-    "objects": [
-      {"class": "person", "first_frame": 300, "last_frame": 450, "appears_in_frames": [300, 310, 320, ...]},
-      {"class": "car", "first_frame": 350, "last_frame": 465, "appears_in_frames": [350, 360, ...]}
-    ],
-    "ocr": [...],
-    "faces": [...]
-  },
-  "pre_chunk_ids": [5],
-  "frame_count": 301
-}
-```
-
-### 8.5 chunk_vectors 表 (使用 file_id 關聯 videos)
-
-```json
-{
-  "file_id": 1,
-  "chunk_id": "sentence_0001",
-  "chunk_type": "sentence",
-  "start_time": 10.0,
-  "end_time": 15.5,
-  "embedding": "[0.1, 0.2, ...]",
-  "metadata": {"text": "The second sentence..."}
-}
-```
-
-### 8.6 Qdrant Payload
-
-```json
-{
-  "file_uuid": "abc123def456",
-  "chunk_id": "sentence_0001",
-  "chunk_type": "sentence",
-  "start_time": 10.0,
-  "end_time": 15.5,
-  "text": "The second sentence from the audio"
-}
-```
-
-## 7. 向量管理原則
-
-### 7.1 Vector Schema
-
-```sql
--- Chunk 向量表 (PostgreSQL)
-CREATE TABLE chunk_vectors (
-    id              SERIAL PRIMARY KEY,
-    
-    -- 檔案識別 (使用 videos 表的內部 ID 以節省空間)
-    file_id         INTEGER NOT NULL REFERENCES videos(id),
-    
-    chunk_id        VARCHAR(64) NOT NULL,
-    chunk_type      VARCHAR(32) NOT NULL,
-    
-    -- 向量數據
-    embedding       TEXT,           -- JSON 格式的向量
-    embedding_vector VECTOR(768),   -- pgvector 類型 (如可用)
-    
-    -- 時間範圍 (用於時間查詢)
-    start_time      DOUBLE PRECISION,
-    end_time        DOUBLE PRECISION,
-    
-    -- Metadata
-    metadata        JSONB,
-    
-    created_at      TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-    
-    UNIQUE(chunk_id)
-);
-
--- 索引
-CREATE INDEX idx_chunk_vectors_file_id ON chunk_vectors(file_id);
-```
-
-### 7.2 Qdrant Collection
-
-- Collection 名稱: `chunks_v3`
-- Vector 維度: 768 (nomic-embed-text)
-- Payload 包含: `file_uuid`, `chunk_id`, `chunk_type`, `start_time`, `end_time`, `text`
-
-> **注意**: Qdrant 中仍使用 uuid (字串)，因為需要可讀性和跨系統整合。PostgreSQL 內部使用 videos.id (整數) 以節省空間。
-
-## 9. 設計原則總結
-
-1. **單一圖像識別 → Frame**: yolo, ocr, face 等單幀識別結果直接入 frame 表
-2. **時間序列識別 → Pre-Chunk**: asr, asrx, cut, time, trace 等有時間範圍的結果入 pre_chunk 表
-3. **組合規則 1 (直接)**: pre_chunk → chunk (保持原有邊界)
-4. **組合規則 2 (集合)**: pre_chunk + frames → chunk (加入識別內容)
-5. **精確到 Frame**: 所有時間範圍都記錄 start_frame, end_frame
-6. **雙向量存儲**: 同時支持 PostgreSQL 和 Qdrant
-7. **跨視頻搜索**: 透過 videos 表的 uuid 進行搜索，內部使用 id 節省空間
-8. **空間優化**: 內部表使用 videos.id (4 bytes) 而非 uuid (32 bytes)
-
-## 10. 查詢範例
-
-### 10.1 跨視頻搜索所有 chunk
-
-```sql
--- 搜索所有視頻中包含 "hello" 的 chunk
-SELECT c.*, v.uuid, v.file_name
-FROM chunks c
-JOIN videos v ON c.file_id = v.id
-WHERE c.text_content ILIKE '%hello%';
-```
-
-### 10.2 查詢特定視頻的 chunk
-
-```sql
--- 查詢 uuid 為 'abc123' 的視頻的所有 chunk
-SELECT c.*
-FROM chunks c
-JOIN videos v ON c.file_id = v.id
-WHERE v.uuid = 'abc123';
-```
-
-### 10.3 按時間範圍搜索
-
-```sql
--- 搜索所有視頻在 10-20 秒範圍內的 chunk
-SELECT c.*, v.uuid
-FROM chunks c
-JOIN videos v ON c.file_id = v.id
-WHERE c.start_time >= 10.0 AND c.end_time <= 20.0;
-```

docs/DEMO_MANUAL.md

@@ -1,686 +0,0 @@
-# Momentry Core API 示範手冊
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | OpenCode |
-| 建立時間 | 2026-03-25 |
-| 文件版本 | V1.0 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.0 | 2026-03-25 | 創建示範手冊，包含 Demo API Key 與完整範例 | OpenCode | deepseek-reasoner |
-
----
-
-**狀態**: 完成
-
----
-
-## 快速開始
-
-### Demo API Key
-
-```
-API Key:  muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69
-Key ID:   muser_68600856036340bcafc01930eb4bd839
-過期日:   2027-03-25
-```
-
-### 測試連線
-
-```bash
-curl http://localhost:3002/health
-```
-
-```json
-{"status":"ok","version":"0.1.0","uptime_ms":456464}
-```
-
-### 測試認證
-
-```bash
-curl -H "X-API-Key: muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69" \
-  http://localhost:3002/api/v1/videos | jq '.videos | length'
-```
-
-```json
-13
-```
-
----
-
-## 環境 URL
-
-| 環境 | URL | 用途 |
-|------|-----|------|
-| **本地開發** | `http://localhost:3002` | 本機開發測試 |
-| **外部訪問** | `https://api.momentry.ddns.net` | n8n/WordPress/curl 生產環境 |
-
----
-
-## 端點總覽
-
-| 方法 | 端點 | 說明 | 認證 |
-|------|------|------|------|
-| GET | `/health` | 健康檢查 | 公開 |
-| GET | `/health/detailed` | 詳細健康檢查 | 公開 |
-| POST | `/api/v1/register` | 註冊影片 | 需要 |
-| POST | `/api/v1/probe` | 探測影片資訊 | 需要 |
-| POST | `/api/v1/search` | 語意搜尋 | 需要 |
-| POST | `/api/v1/n8n/search` | n8n 格式搜尋 | 需要 |
-| POST | `/api/v1/search/hybrid` | 混合搜尋 | 需要 |
-| GET | `/api/v1/videos` | 列出所有影片 | 需要 |
-| GET | `/api/v1/lookup` | 查詢影片 UUID | 需要 |
-| GET | `/api/v1/progress/:uuid` | 處理進度 | 需要 |
-| GET | `/api/v1/jobs` | 任務列表 | 需要 |
-| GET | `/api/v1/jobs/:uuid` | 任務詳情 | 需要 |
-
----
-
-## 1. curl 範例
-
-### 基本格式
-
-```bash
-curl -H "X-API-Key: YOUR_API_KEY" \
-  -H "Content-Type: application/json" \
-  URL
-```
-
-### 1.1 健康檢查（公開）
-
-```bash
-# 基本健康檢查
-curl http://localhost:3002/health
-
-# 詳細健康檢查（含服務狀態）
-curl http://localhost:3002/health/detailed
-```
-
-### 1.2 列出影片
-
-```bash
-curl -H "X-API-Key: muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69" \
-  http://localhost:3002/api/v1/videos | jq '.'
-```
-
-```json
-{
-  "videos": [
-    {
-      "uuid": "952f5854b9febad1",
-      "file_name": "ExaSAN PCIe series - Director Ou Yu-Zhi Shares His Experience.mp4",
-      "duration": 159.637188,
-      "width": 640,
-      "height": 360
-    },
-    ...
-  ]
-}
-```
-
-### 1.3 搜尋影片
-
-```bash
-curl -X POST \
-  -H "X-API-Key: muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69" \
-  -H "Content-Type: application/json" \
-  -d '{"query": "ExaSAN", "limit": 5}' \
-  http://localhost:3002/api/v1/search | jq '.'
-```
-
-```json
-{
-  "results": [
-    {
-      "uuid": "952f5854b9febad1",
-      "chunk_id": "...",
-      "text": "...",
-      "score": 0.85,
-      "start_time": 0.0,
-      "end_time": 5.0
-    }
-  ],
-  "total": 1,
-  "query": "ExaSAN",
-  "took_ms": 123
-}
-```
-
-### 1.4 查詢進度
-
-```bash
-curl -H "X-API-Key: muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69" \
-  http://localhost:3002/api/v1/progress/952f5854b9febad1 | jq '.'
-```
-
-```json
-{
-  "uuid": "952f5854b9febad1",
-  "overall_progress": 67,
-  "current_processor": "yolo",
-  "processors": [
-    {"name": "asr", "status": "completed"},
-    {"name": "cut", "status": "completed"},
-    {"name": "yolo", "status": "running"}
-  ]
-}
-```
-
----
-
-## 2. n8n 範例
-
-### 2.1 HTTP Request 節點設定
-
-```
-Method: POST
-URL: https://api.momentry.ddns.net/api/v1/search
-Authentication: None (使用 Header)
-
-Headers:
-┌─────────────────────┬──────────────────────────────────────────────────┐
-│ Name                 │ Value                                            │
-├─────────────────────┼──────────────────────────────────────────────────┤
-│ X-API-Key            │ muser_68600856036340bcafc01930eb4bd839_...      │
-│ Content-Type         │ application/json                                  │
-└─────────────────────┴──────────────────────────────────────────────────┘
-
-Body Content (JSON):
-{
-  "query": "{{ $json.search_term }}",
-  "limit": 5
-}
-```
-
-### 2.2 n8n 搜尋 Workflow
-
-```json
-{
-  "nodes": [
-    {
-      "name": "Manual Trigger",
-      "type": "n8n-nodes-base.manualTrigger",
-      "position": [250, 300]
-    },
-    {
-      "name": "Set Search Term",
-      "type": "n8n-nodes-base.set",
-      "parameters": {
-        "values": {
-          "json": {
-            "search_term": "ExaSAN"
-          }
-        }
-      },
-      "position": [450, 300]
-    },
-    {
-      "name": "Search Videos",
-      "type": "n8n-nodes-base.httpRequest",
-      "parameters": {
-        "method": "POST",
-        "url": "https://api.momentry.ddns.net/api/v1/search",
-        "authentication": "genericCredentialType",
-        "genericAuthType": "httpHeaderAuth",
-        "sendHeaders": true,
-        "headerParameters": {
-          "parameters": [
-            {
-              "name": "X-API-Key",
-              "value": "muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69"
-            }
-          ]
-        },
-        "sendBody": true,
-        "bodyContentType": "json",
-        "specifyBody": "json",
-        "jsonBody": "={{ { \"query\": $json.search_term, \"limit\": 5 } }}"
-      },
-      "position": [650, 300]
-    },
-    {
-      "name": "Process Results",
-      "type": "n8n-nodes-base.code",
-      "parameters": {
-        "jsCode": "// Extract video results\nconst results = $input.first().json.results;\nreturn results.map(r => ({\n  uuid: r.uuid,\n  text: r.text,\n  score: r.score,\n  time: `${r.start_time}s - ${r.end_time}s`\n}));"
-      },
-      "position": [850, 300]
-    }
-  ],
-  "connections": {
-    "Manual Trigger": {
-      "main": [[{"node": "Set Search Term"}]]
-    },
-    "Set Search Term": {
-      "main": [[{"node": "Search Videos"}]]
-    },
-    "Search Videos": {
-      "main": [[{"node": "Process Results"}]]
-    }
-  }
-}
-```
-
-### 2.3 n8n 列出影片 Workflow
-
-```json
-{
-  "nodes": [
-    {
-      "name": "Get Videos",
-      "type": "n8n-nodes-base.httpRequest",
-      "parameters": {
-        "method": "GET",
-        "url": "https://api.momentry.ddns.net/api/v1/videos",
-        "sendHeaders": true,
-        "headerParameters": {
-          "parameters": [
-            {
-              "name": "X-API-Key",
-              "value": "muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69"
-            }
-          ]
-        }
-      },
-      "position": [450, 300]
-    },
-    {
-      "name": "Extract Video List",
-      "type": "n8n-nodes-base.code",
-      "parameters": {
-        "jsCode": "const videos = $input.first().json.videos;\nreturn videos.map(v => ({\n  json: {\n    uuid: v.uuid,\n    name: v.file_name,\n    duration: Math.round(v.duration) + 's',\n    resolution: `${v.width}x${v.height}`\n  }\n}));"
-      },
-      "position": [650, 300]
-    },
-    {
-      "name": "Slack Notification",
-      "type": "n8n-nodes-base.slack",
-      "parameters": {
-        "channel": "#momentry",
-        "text": "=Found {{ $json.length }} videos:\n{{ $json.map(v => `• ${v.name} (${v.duration})`).join(`\n`) }}"
-      },
-      "position": [850, 300]
-    }
-  ]
-}
-```
-
-### 2.4 n8n 定時同步 Workflow
-
-```json
-{
-  "nodes": [
-    {
-      "name": "Schedule Trigger",
-      "type": "n8n-nodes-base.scheduleTrigger",
-      "parameters": {
-        "rule": {
-          "interval": [{"field": "hours", "hours": 1}]
-        }
-      },
-      "position": [250, 300]
-    },
-    {
-      "name": "Get Pending Videos",
-      "type": "n8n-nodes-base.httpRequest",
-      "parameters": {
-        "method": "GET",
-        "url": "https://api.momentry.ddns.net/api/v1/videos"
-      },
-      "position": [450, 300]
-    },
-    {
-      "name": "Filter Processing",
-      "type": "n8n-nodes-base.filter",
-      "parameters": {
-        "conditions": {
-          "options": {"caseSensitive": true},
-          "conditions": [
-            {"id": "status", "leftValue": "{{ $json.status }}", "rightValue": "processing"}
-          ]
-        }
-      },
-      "position": [650, 300]
-    }
-  ]
-}
-```
-
----
-
-## 3. WordPress 範例
-
-### 3.1 PHP 函數庫
-
-```php
-<?php
-/**
- * Momentry API Client
- */
-
-class Momentry_API {
-    private const API_URL = 'https://api.momentry.ddns.net';
-    private const API_KEY = 'muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69';
-
-    /**
-     * 發送 API 請求
-     */
-    private function request(string $endpoint, array $data = [], string $method = 'GET'): array {
-        $url = self::API_URL . $endpoint;
-        
-        $args = [
-            'headers' => [
-                'X-API-Key' => self::API_KEY,
-                'Content-Type' => 'application/json',
-            ],
-            'timeout' => 30,
-        ];
-
-        if ($method === 'POST') {
-            $args['method'] = 'POST';
-            $args['body'] = json_encode($data);
-        }
-
-        $response = wp_remote_request($url, $args);
-        
-        if (is_wp_error($response)) {
-            throw new Exception($response->get_error_message());
-        }
-
-        return json_decode(wp_remote_retrieve_body($response), true);
-    }
-
-    /**
-     * 列出所有影片
-     */
-    public function list_videos(): array {
-        return $this->request('/api/v1/videos');
-    }
-
-    /**
-     * 搜尋影片內容
-     */
-    public function search(string $query, int $limit = 10): array {
-        return $this->request('/api/v1/search', [
-            'query' => $query,
-            'limit' => $limit,
-        ], 'POST');
-    }
-
-    /**
-     * 取得影片進度
-     */
-    public function get_progress(string $uuid): array {
-        return $this->request("/api/v1/progress/{$uuid}");
-    }
-
-    /**
-     * 檢查健康狀態
-     */
-    public function health_check(): array {
-        return $this->request('/health');
-    }
-}
-```
-
-### 3.2 短代碼 (Shortcode)
-
-```php
-<?php
-/**
- * WordPress 短代碼範例
- */
-
-// 註冊短代碼
-add_shortcode('momentry_videos', function($atts) {
-    $atts = shortcode_atts([
-        'limit' => 10,
-    ], $atts);
-
-    $api = new Momentry_API();
-    
-    try {
-        $result = $api->list_videos();
-        $videos = array_slice($result['videos'], 0, $atts['limit']);
-        
-        ob_start();
-        ?>
-        <div class="momentry-videos">
-            <h3>影片列表</h3>
-            <ul>
-                <?php foreach ($videos as $video): ?>
-                    <li>
-                        <strong><?= esc_html($video['file_name']) ?></strong>
-                        <br>
-                        <small>
-                            UUID: <?= esc_html($video['uuid']) ?>
-                            | 時長: <?= gmdate("H:i:s", $video['duration']) ?>
-                        </small>
-                    </li>
-                <?php endforeach; ?>
-            </ul>
-        </div>
-        <?php
-        return ob_get_clean();
-        
-    } catch (Exception $e) {
-        return '<p class="error">載入失敗: ' . esc_html($e->getMessage()) . '</p>';
-    }
-});
-
-// 搜尋短代碼
-add_shortcode('momentry_search', function($atts, $content = '') {
-    $query = sanitize_text_field($content);
-    
-    if (empty($query)) {
-        return '<p>請提供搜尋關鍵字</p>';
-    }
-
-    $api = new Momentry_API();
-    
-    try {
-        $result = $api->search($query);
-        
-        ob_start();
-        ?>
-        <div class="momentry-search-results">
-            <h3>「<?= esc_html($query) ?>」搜尋結果</h3>
-            <?php if (empty($result['results'])): ?>
-                <p>沒有找到相關結果</p>
-            <?php else: ?>
-                <ul>
-                    <?php foreach ($result['results'] as $item): ?>
-                        <li>
-                            <a href="/video/<?= esc_attr($item['uuid']) ?>?t=<?= (int)$item['start_time'] ?>">
-                                <?= esc_html($item['text']) ?>
-                            </a>
-                            <br>
-                            <small>相似度: <?= round($item['score'] * 100) ?>%</small>
-                        </li>
-                    <?php endforeach; ?>
-                </ul>
-            <?php endif; ?>
-        </div>
-        <?php
-        return ob_get_clean();
-        
-    } catch (Exception $e) {
-        return '<p class="error">搜尋失敗: ' . esc_html($e->getMessage()) . '</p>';
-    }
-});
-```
-
-### 3.3 使用方式
-
-在 WordPress 頁面或文章中：
-
-```
-[momentry_videos limit="5"]
-
-[momentry_search]ExaSAN[/momentry_search]
-```
-
-### 3.4 REST API 整合
-
-```php
-<?php
-/**
- * 註冊 WordPress REST API 端點
- */
-
-add_action('rest_api_init', function() {
-    register_rest_route('momentry/v1', '/search', [
-        'methods' => 'GET',
-        'callback' => function(WP_REST_Request $request) {
-            $query = sanitize_text_field($request->get_param('q'));
-            
-            if (empty($query)) {
-                return new WP_Error('missing_query', '需要搜尋關鍵字', ['status' => 400]);
-            }
-
-            $api = new Momentry_API();
-            $result = $api->search($query);
-            
-            return new WP_REST_Response($result, 200);
-        },
-        'permission_callback' => '__return_true',
-    ]);
-});
-
-// 使用方式: GET /wp-json/momentry/v1/search?q=ExaSAN
-```
-
----
-
-## 4. 疑難排解
-
-### 4.1 常見錯誤
-
-| 錯誤 | 原因 | 解決方案 |
-|------|------|----------|
-| `401 Unauthorized` | API Key 無效或過期 | 檢查 API Key 是否正確 |
-| `500 Internal Server Error` | 伺服器錯誤 | 檢查 `/health/detailed` 服務狀態 |
-| `Connection Timeout` | 網路問題 | 確認 `api.momentry.ddns.net` 可達 |
-
-### 4.2 測試腳本
-
-```bash
-#!/bin/bash
-# test_api.sh - Momentry API 測試腳本
-
-API_KEY="muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69"
-BASE_URL="http://localhost:3002"
-
-echo "=== 1. 健康檢查 ==="
-curl -s "$BASE_URL/health" | jq .
-echo ""
-
-echo "=== 2. 列出影片 ==="
-curl -s -H "X-API-Key: $API_KEY" "$BASE_URL/api/v1/videos" | jq '.videos | length'
-echo ""
-
-echo "=== 3. 搜尋測試 ==="
-curl -s -X POST -H "X-API-Key: $API_KEY" \
-  -H "Content-Type: application/json" \
-  -d '{"query": "test", "limit": 3}' \
-  "$BASE_URL/api/v1/search" | jq '.results | length'
-echo ""
-
-echo "=== 完成 ==="
-```
-
-### 4.3 驗證腳本
-
-```bash
-#!/bin/bash
-# verify_auth.sh - 驗證 API Key
-
-API_KEY="muser_68600856036340bcafc01930eb4bd839_1774418104_97221b69"
-BASE_URL="http://localhost:3002"
-
-# 測試 1: 無 API Key
-echo "測試 1: 無 API Key"
-RESULT=$(curl -s -o /dev/null -w "%{http_code}" "$BASE_URL/api/v1/videos")
-[ "$RESULT" = "401" ] && echo "✅ 正確拒絕 (401)" || echo "❌ 預期 401，實際 $RESULT"
-
-# 測試 2: 有 API Key
-echo "測試 2: 有 API Key"
-RESULT=$(curl -s -H "X-API-Key: $API_KEY" "$BASE_URL/api/v1/videos")
-echo "$RESULT" | jq -e '.videos' > /dev/null && echo "✅ 成功取得資料" || echo "❌ 取得資料失敗"
-
-# 測試 3: 無效 API Key
-echo "測試 3: 無效 API Key"
-RESULT=$(curl -s -o /dev/null -w "%{http_code}" -H "X-API-Key: invalid_key" "$BASE_URL/api/v1/videos")
-[ "$RESULT" = "401" ] && echo "✅ 正確拒絕 (401)" || echo "❌ 預期 401，實際 $RESULT"
-```
-
----
-
-## 5. API Key 管理
-
-### 5.1 建立新 API Key
-
-```bash
-# 本地建立
-./target/release/momentry api-key create "My App" --key-type user --ttl 90
-```
-
-### 5.2 列出 API Keys
-
-```bash
-./target/release/momentry api-key list
-```
-
-### 5.3 驗證 API Key
-
-```bash
-./target/release/momentry api-key validate --key "YOUR_API_KEY"
-```
-
-### 5.4 撤銷 API Key
-
-```bash
-./target/release/momentry api-key revoke --key "YOUR_API_KEY"
-```
-
----
-
-## 附錄
-
-### A. 影片 UUID 說明
-
-UUID 是基於檔案路徑的 SHA256 哈希前 16 位：
-
-```
-/Users/accusys/momentry/var/sftpgo/data/demo/video.mp4
-    ↓
-SHA256 Hash
-    ↓
-9760d0820f0cf9a7
-```
-
-### B. 處理器狀態
-
-| 狀態 | 說明 |
-|------|------|
-| `pending` | 等待處理 |
-| `running` | 處理中 |
-| `completed` | 已完成 |
-| `failed` | 失敗 |
-
-### C. 支援的處理器
-
-- **ASR**: 語音識別
-- **CUT**: 場景剪切
-- **YOLO**: 物件偵測
-
-### D. 聯絡支援
-
-- Email: support@momentry.ddns.net
-- 文件: https://docs.momentry.ddns.net
-- GitHub: https://github.com/anomalyco/momentry

docs/DEVELOPMENT_LOG.md

@@ -1,540 +0,0 @@
-# Momentry Core 開發日誌
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | Warren |
-| 建立時間 | 2026-03-18 |
-| 文件版本 | V1.0 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.0 | 2026-03-18 | 創建文件 | Warren | OpenCode / MiniMax M2.5 |
-
----
-
-> **文檔維護開始**：2026-03-18
-> **⚠️ 補充說明**：事後補記（2026-03-18 以前），僅供參考。未來紀錄將即時記錄，參考價值較高。
-
----
-
-## 開發工具
-
-### Coding LLM 模型
-
-| 階段 | 工具 | 模型 | ID | 說明 |
-|------|------|------|-----|------|
-| **初期** | Claude CLI | - | - | 初始專案架構建立 |
-| **中期** | OpenCode | big-pickle | opencode/big-pickle | 主要開發協作者 |
-
-**切換記錄**：
-- 初期使用 Claude CLI 建立專案基本架構
-- 中期切換至 OpenCode (big-pickle) 進行主要功能開發
-
----
-
-## 2026-03-17
-
-### ML 模型選用
-
-| Processor | 模型 | 版本/大小 | 說明 |
-|----------|------|-----------|------|
-| **ASR** | WhisperX (faster-whisper) | base, int8 | 語音識別 + 對話分段 |
-| **CUT** | PySceneDetect | 0.6.7.1 | ContentDetector 場景檢測 |
-| **YOLO** | YOLOv8n | yolov8n.pt (6.2MB) | 物體檢測（nano 版本最快） |
-| **OCR** | EasyOCR | 1.7.2 | 文字識別 |
-| **Face** | OpenCV Haar Cascade | built-in | 人臉檢測（無需額外下載） |
-| **Pose** | YOLOv8n-Pose | yolov8n-pose.pt (6.5MB) | 姿態估計（nano 版本） |
-
-**模型下載**：
-- YOLOv8n: `yolov8n.pt` (6.2MB)
-- YOLOv8n-Pose: `yolov8n-pose.pt` (6.5MB)
-
-**Python 依賴**：
-```
-torch==2.8.0
-whisperx==3.8.2
-ultralytics==8.4.23
-scenedetect==0.6.7.1
-easyocr==1.7.2
-opencv-python==4.13.0.92
-```
-
----
-
-### ASR 實作完成
-- 完成 Python ML processor scripts（使用本地模型）
-  - `asrx_processor.py` - whisperx for speaker diarization
-  - `cut_processor.py` - PySceneDetect for scene detection
-  - `yolo_processor.py` - YOLOv8 for object detection
-  - `ocr_processor.py` - EasyOCR for text recognition
-  - `face_processor.py` - OpenCV Haar Cascade for face detection
-  - `pose_processor.py` - YOLOv8 Pose for pose estimation
-
-- 更新 `requirements.txt` with all dependencies
-- 安裝完成：torch 2.8.0, whisperx 3.8.2, ultralytics 8.4.23, scenedetect 0.6.7.1, easyocr 1.7.2, opencv-python 4.13.0.92
-- 下載模型：YOLOv8n.pt (6.2MB), YOLOv8n-Pose.pt (6.5MB)
-
-### Async Streaming 實作
-- 更新 Rust processor modules 使用 async streaming 進行 real-time progress
-  - `src/core/processor/asr.rs`
-  - `src/core/processor/cut.rs`
-  - `src/core/processor/yolo.rs`
-  - `src/core/processor/ocr.rs`
-  - `src/core/processor/face.rs`
-  - `src/core/processor/pose.rs`
-
-### 測試結果
-- 測試影片：BigBuckBunny_320x180.mp4
-- ASR: 4 segments
-- CUT: 134 scenes
-- YOLO: 14315 frames（每幀處理耗時）
-- OCR: 40 frames with text
-- Face: 44 frames with faces
-- Pose: Timeout
-
----
-
-### Warning 清理
-修復 clippy warnings：
-- 移除未使用的 imports (HashMap in mongodb_db.rs, postgres_db.rs)
-- 新增 `#[allow(dead_code)]` 標註未使用變數
-- 新增 `Default` implementation for MongoDb, QdrantDb
-- 將 `probe` module 重新命名為 `ffprobe`
-- 新增 `player` feature in Cargo.toml
-- 修復 `format_in_format_args` 警告
-
----
-
-### TUI Progress Window 實作
-建立新的 UI module：
-- 建立 `src/ui/mod.rs`
-- 建立 `src/ui/progress/mod.rs`
-
-實作功能：
-- ProcessorProgress 結構（追蹤每個 processor 狀態）
-- ProgressState 結構（管理所有 processors）
-- ProgressUi 結構（ratatui TUI 渲染）
-- 整合到 `src/main.rs` 的 process 命令
-
-TUI 顯示：
-```
-┌ Processing: BigBuckBunny_320x180.mp4 ────────────────────────────────────────┐
-│ ASR     [████████████] 100% (4 segs)                                       │
-│ CUT     [████████████] 100% (134 scenes)                                  │
-│ ASRX    [████████████] 100% (0 segs)                                       │
-│ YOLO    [██░░░░░░░░░░░]  30% (4200/14315) ETA 2:30                      │
-│ OCR     [---------]   0%                                                   │
-│ Face    [---------]   0%                                                  │
-│ Pose    [---------]   0%                                                   │
-└──────────────────────────────────────────────────────────────────────────────┘
-```
-
----
-
-### 輸出位置討論
-討論 stdout vs stderr vs TUI 的輸出配置：
-- 最終結果 → stdout
-- Python progress → 需改用 Redis Pub/Sub
-- TUI Progress → stderr (ratatui)
-
----
-
-## 2026-03-18
-
-### Redis Message Bus 設計
-討論使用 Redis 作為消息總線，分離 Python 輸出與 Rust TUI 顯示。
-
-設計重點：
-1. 頻道命名：`momentry:progress:{uuid}`
-2. 本地 Redis：`localhost:6379`
-3. 失敗策略：完全失效（因 stdout 問題未解決）
-
-### UUID 使用時機分析
-分析 Redis Key 上使用 UUID 的時機：
-
-**全局 Keys（無 UUID）**：
-- health, stats, jobs 管理
-
-**Per-Video Keys（UUID 必要）**：
-- job:{uuid}, progress:{uuid}, metrics:{uuid}
-
-**Per-Processor Keys（UUID + Processor 必要）**：
-- job:{uuid}:processor:{name}
-
-### 備份系統整合
-參考 `docs/SERVICE_ADDITION_GUIDE.md` 設計規範，規劃 OutputDir 模組：
-
-1. **環境變數**：
-   - `MOMENTRY_OUTPUT_DIR` - JSON 輸出目錄
-   - `MOMENTRY_BACKUP_DIR` - 備份目錄（預設：`/Users/accusys/momentry/backup/momentry`）
-   - `MOMENTRY_BACKUP_ENABLED` - 啟用備份
-
-2. **命名格式**：
-   - 備份格式：`momentry_data_{YYYYMMDD}_{HHMMSS}_{uuid}.{ext}`
-   - 校驗和：`{filename}.sha256`
-
-3. **CLI 命令**：
-   - `cargo run -- backup list` - 列出備份
-   - `cargo run -- backup cleanup` - 清理舊備份
-   - `cargo run -- backup verify` - 驗證備份
-
----
-
-### 監控系統整合
-討論將 momentry_core 納入監控系統：
-
-1. **Layer 2: Service 監控**
-   - 新增 momentry_core CLI 檢查
-
-2. **Layer 7: Backup 監控**
-   - 新增 momentry 備份配置
-
-3. **Redis 監控**
-   - 健康檢查
-   - Job 狀態監控
-   - 即時進度監控
-
----
-
-## 實作完成項目
-
-### 程式碼變更
-
-| 日期 | 檔案 | 變更 |
-|------|------|------|
-| 2026-03-17 | `src/core/processor/*.rs` | Async streaming 更新 |
-| 2026-03-17 | `src/ui/mod.rs` | 新增 UI module |
-| 2026-03-17 | `src/ui/progress/mod.rs` | 新增 Progress TUI |
-| 2026-03-17 | `src/main.rs` | 整合 Progress UI |
-| 2026-03-18 | `src/core/storage/output_dir.rs` | 新增 OutputDir 模組 |
-| 2026-03-18 | `src/core/storage/mod.rs` | 新增 output_dir export |
-| 2026-03-18 | `src/core/db/redis_client.rs` | 新增 Redis 客戶端（Hash + Pub/Sub） |
-| 2026-03-18 | `src/core/db/mod.rs` | 新增 redis_client export |
-
-### 新增檔案
-
-| 日期 | 檔案 | 說明 |
-|------|------|------|
-| 2026-03-18 | `docs/MOMENTRY_CORE_REDIS_KEYS.md` | Redis Key 設計規範 |
-| 2026-03-18 | `docs/MOMENTRY_CORE_MONITORING.md` | 監控規範（暫定） |
-| 2026-03-18 | `scripts/redis_publisher.py` | Redis 訊息發布模組 |
-
-### 更新檔案
-
-| 日期 | 檔案 | 說明 |
-|------|------|------|
-| 2026-03-17 | `Cargo.toml` | 新增 player feature |
-| 2026-03-17 | `src/lib.rs` | 新增 ui module exports |
-| 2026-03-18 | `docs/PENDING_ISSUES.md` | 新增問題 #2, #3 |
-| 2026-03-18 | `src/core/storage/output_dir.rs` | 預設改為 `./output` |
-| 2026-03-18 | `scripts/yolo_processor.py` | 新增 --uuid 參數 + Redis |
-| 2026-03-18 | `scripts/cut_processor.py` | 新增 Redis |
-| 2026-03-18 | `scripts/ocr_processor.py` | 新增 Redis |
-| 2026-03-18 | `scripts/face_processor.py` | 新增 --uuid 參數 + Redis |
-| 2026-03-18 | `scripts/pose_processor.py` | 新增 --uuid 參數 + Redis |
-| 2026-03-18 | `scripts/asr_processor.py` | 新增 --uuid 參數 + Redis |
-| 2026-03-18 | `scripts/asrx_processor.py` | 新增 --uuid 參數 + Redis |
-| 2026-03-18 | `requirements.txt` | 新增 redis>=5.0.0 |
-| 2026-03-18 | `src/core/processor/yolo.rs` | 新增 uuid 參數 |
-| 2026-03-18 | `src/core/processor/cut.rs` | 新增 uuid 參數 |
-| 2026-03-18 | `src/core/processor/ocr.rs` | 新增 uuid 參數 |
-| 2026-03-18 | `src/core/processor/face.rs` | 新增 uuid 參數 |
-| 2026-03-18 | `src/core/processor/pose.rs` | 新增 uuid 參數 |
-| 2026-03-18 | `src/core/processor/asr.rs` | 新增 uuid 參數 |
-| 2026-03-18 | `src/core/processor/asrx.rs` | 新增 uuid 參數 |
-| 2026-03-18 | `src/main.rs` | 更新所有 processor 調用傳入 uuid |
-| 2026-03-18 | `Cargo.toml` | 新增 futures-util 依賴 |
-| 2026-03-18 | `src/core/db/redis_client.rs` | 新增 subscribe_and_callback 方法，密碼認證 |
-| 2026-03-18 | `src/ui/progress/mod.rs` | 新增 update_from_redis 方法 |
-| 2026-03-18 | `scripts/redis_publisher.py` | 新增密碼認證支援 |
-| 2026-03-18 | 測試 | Redis Pub/Sub 成功運作 |
-
----
-
-## 待解決問題
-
-### 問題 #1: sqlx async INSERT 不會實際寫入數據庫
-- 狀態：待解決
-- 影響：`store_vector` 函數，PVector 存儲
-
-### 問題 #2: TUI 與 stdout 輸出混合
-- 狀態：已解決
-- 解決方案：使用 Redis Message Bus
-- 進度：
-  - ✅ Redis 客戶端 (`src/core/db/redis_client.rs`)
-  - ✅ Python redis_publisher.py
-  - ✅ 所有 Python processors 更新完成
-  - ✅ 所有 Rust processor 函數更新完成
-  - ✅ main.rs 調用更新完成
-  - ✅ Rust TUI Redis 訂閱已完成
-
-### 問題 #3: Redis Message Bus 尚未實作
-- 狀態：已解決
-- 詳細設計：參考 `docs/MOMENTRY_CORE_REDIS_KEYS.md`
-- 進度：Python 端 + Rust 端均已完成
-
----
-
-## 環境變數
-
-```bash
-# 輸出目錄
-MOMENTRY_OUTPUT_DIR=./output        # 預設
-
-# 備份
-MOMENTRY_BACKUP_ENABLED=false       # 預設
-MOMENTRY_BACKUP_DIR=/Users/accusys/momentry/backup/momentry
-
-# Redis（未來實作）
-REDIS_URL=redis://localhost:6379
-REDIS_PASSWORD=accusys
-```
-
----
-
-## 數據庫
-
-- PostgreSQL: `postgres://accusys@localhost:5432/momentry`
-- Redis: `localhost:6379`（待實作）
-- Qdrant: `localhost:6333`
-
----
-
-## 指令範例
-
-```bash
-# 註冊視頻
-cargo run -- register /path/to/video.mp4
-
-# 處理視頻
-cargo run -- process <uuid>
-
-# 列出備份
-cargo run -- backup list
-
-# 清理備份
-cargo run -- backup cleanup
-
-# 驗證備份
-cargo run -- backup verify
-
-# 查看狀態
-cargo run -- status
-
-# API Server
-cargo run -- server --host 0.0.0.0 --port 3000
-```
-
----
-
-## 2026-03-18 (進行中)
-
-### Redis Message Bus 實作
-
-**問題**：TUI 與 Python stdout 輸出混合，導致 TUI 顯示混亂
-
-**解決方案**：使用 Redis Pub/Sub 作為訊息匯流排
-
-**實作內容**：
-
-| 元件 | 檔案 | 狀態 |
-|------|------|------|
-| Redis 客戶端 | `src/core/db/redis_client.rs` | ✅ |
-| Progress 訂閱 | `src/main.rs` | ✅ |
-| UI 更新 | `src/ui/progress/mod.rs` | ✅ |
-| Python Publisher | `scripts/redis_publisher.py` | ✅ |
-| Python Processors | 7 個 `scripts/*_processor.py` | ✅ |
-| Rust 函數 | `src/core/processor/*.rs` | ✅ |
-
-**流程**：
-```
-Python Processor ──(Redis Pub)──> Redis ──(Subscribe)──> Rust TUI
-```
-
-**測試結果**：
-- Redis 連線 ✅
-- 密碼認證 ✅  
-- 即時進度發布 ✅
-- TUI 即時更新 ✅
-
-**新增依賴**：
-- `futures-util = "0.3"` (Cargo.toml)
-- `redis >= 5.0.0` (requirements.txt)
-
----
-
-## 2026-03-18 (HTTP API)
-
-### HTTP API 實作
-
-**問題**：TUI 運作正常但使用者偏好 HTTP API 來查詢進度
-
-**解決方案**：建立 HTTP 端點 + Redis Hash 儲存
-
-**實作內容**：
-
-| 元件 | 檔案 | 變更 |
-|------|------|------|
-| HTTP 端點 | `src/api/server.rs` | 新增 `/api/v1/progress/:uuid` |
-| Redis Hash 查詢 | `src/core/db/redis_client.rs` | 新增 `get_processor_status` 方法 |
-| Progress 儲存 | `src/main.rs` | 新增 Redis HSET 儲存進度 |
-
-**API 端點**：
-```
-GET /api/v1/progress/:uuid
-
-Response:
-{
-  "uuid": "5dea6618a606e7c7",
-  "processors": [
-    {"name": "asr", "status": "complete", "current": 0, "total": 0, "message": "7 segments"},
-    {"name": "cut", "status": "complete", "current": 134, "total": 134, "message": "134 scenes"},
-    {"name": "yolo", "status": "complete", "current": 14300, "total": 14315, "message": "..."},
-    ...
-  ]
-}
-```
-
-**流程**：
-```
-Python Processor ──(Redis Pub)──> Redis ──(Subscribe)──> Rust TUI
-                              └──(HSET)──> Redis Hash
-                                               │
-HTTP Client ──(GET /progress/:uuid)──> Rust API ─(HGETALL)──> Redis Hash
-```
-
-**測試結果**：
-- ✅ 編譯成功
-- ✅ API 伺服器啟動 (port 3002)
-- ✅ 即時進度查詢
-- ✅ 完整流程測試 (BigBuckBunny_320x180.mp4)
-
-**除錯記錄**：
-1. 語法錯誤：main.rs 有重複程式碼區塊 (lines 297-322)，已移除
-2. DB 連線池：從 5 增加到 10 個連線
-3. PostgreSQL 狀態：處理 shutdown 狀態，殺掉 stale 連線
-
-**新增變更**：
-- `src/api/server.rs` - 新增進度端點
-- `src/core/db/redis_client.rs` - 新增 `get_processor_status` 方法
-- `src/core/db/postgres_db.rs` - 連線池 5→10
-- `src/main.rs` - Redis Hash 儲存 + 語法修復
-
-**使用方式**：
-```bash
-# 啟動 API 伺服器
-cargo run --bin momentry -- server --host 127.0.0.1 --port 3002
-
-# 註冊影片
-cargo run --bin momentry -- register ~/test_video/BigBuckBunny_320x180.mp4
-
-# 處理影片
-cargo run --bin momentry -- process <uuid>
-
-# 查詢進度
-curl http://127.0.0.1:3002/api/v1/progress/<uuid>
-```
-
----
-
-## 2026-03-18 (Dashboard)
-
-### Web Dashboard 實作
-
-**目標**：建立 Web 介面監控 momentry_core 處理進度
-
-**技術選擇**：Static HTML + JavaScript (非 WASM)
-
-**實作內容**：
-
-| 元件 | 檔案 | 說明 |
-|------|------|------|
-| Dashboard | `momentry_dashboard/dist/index.html` | 靜態 HTML 頁面 |
-| API 代理 | Caddyfile port 3200 | 反向代理到 API server |
-
-**功能**：
-- 影片列表顯示
-- 即時進度條 (每 5 秒自動刷新)
-- 搜尋功能
-- 處理器狀態 (ASR/CUT/YOLO/OCR/Face/Pose)
-
-**訪問**：
-- Dashboard: http://localhost:3200
-- API: http://localhost:3200/api/v1/*
-
----
-
-## 發生問題記錄
-
-### HTTP API 問題
-
-1. **語法錯誤** (main.rs)
-   - 位置：lines 297-322
-   - 原因：重複的程式碼區塊
-   - 解決：移除重複區塊
-
-2. **DB 連線池耗盡**
-   - 原因：預設 5 個連線不足
-   - 解決：增加到 10 個連線
-
-3. **PostgreSQL shutdown 狀態**
-   - 原因：共享記憶體未釋放
-   - 解決：殺掉 stale 連線
-
-### WASM Dashboard 問題
-
-1. **Yew 版本問題**
-   - 嘗試：yew 0.21 → 0.23
-   - 問題：feature 名稱變更 (`web-sys` → `web_sys` → `csr`)
-   - 解決：放棄 WASM，改用靜態 HTML
-
-2. **編譯錯誤**
-   - `wasm32-unknown-unknown` target 未安裝
-   - 解決：`rustup target add wasm32-unknown-unknown`
-
-3. **Yew 0.23 API 變更**
-   - Properties 需要 PartialEq derive
-   - 多處 API 語法變更
-   - 放棄 WASM 方案
-
-### Gitea Push 問題
-
-1. **Remote URL 錯誤**
-   - 原因：使用 localhost:3000 而非 gitea.momentry.ddns.net
-   - 解決：建立新 repo `momentry_core_0_1`
-
-2. **認證問題**
-   - SSH key 未授權
-   - 密碼認證成功推送
-
-### Caddy 設定問題
-
-1. **API 代理順序**
-   - 問題：try_files 在 reverse_proxy 之前導致 API 回傳 HTML
-   - 解決：使用 `handle` 區塊明確定義順序
-
-```caddyfile
-:3200 {
-    handle /api/* {
-        reverse_proxy localhost:3002
-    }
-    handle {
-        root * /Users/accusys/momentry_dashboard/dist
-        try_files {path} /index.html
-        file_server
-    }
-}
-```
-
----
-
-## 未來工作
-
-- [ ] 修復 WASM Dashboard (Yew 0.23 相容性)
-- [ ] 新增影片播放器整合
-- [ ] WebSocket 實時推送
-- [ ] 移動端響應式設計

docs/FILE_CHANGE_MANAGEMENT.md

@@ -1,323 +0,0 @@
-# 文件修改管理規範 v1.0
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | Warren |
-| 建立時間 | 2026-03-22 |
-| 文件版本 | V1.0 |
-
----
-
-## 1. 概述
-
-本文檔定義 Momentry 專案的文件修改流程，確保不同工具/模型對文件的一致性理解，防止誤修改並保留完整的修改紀錄。
-
-### 1.1 適用範圍
-
-- 所有 `.md` 文件（技術文檔、安裝指南、API 文件等）
-- 所有 `.rs` 文件（Rust 源代碼）
-- 所有 `.sh` 文件（Shell 腳本）
-- 所有 `.yaml` / `.yml` 文件（配置文件）
-- 所有 `.json` 文件（配置及數據文件）
-
-### 1.2 核心原則
-
-1. **先讀後改**：修改前必須完整閱讀相關文件
-2. **預檢清單**：修改前執行預檢查步驟
-3. **變更對照**：修改後必須比對差異
-4. **驗證確認**：變更後執行驗證測試
-5. **完整紀錄**：所有修改必須記錄於版本歷史
-
----
-
-## 2. 修改前預檢清單
-
-### 2.1 文件閱讀要求
-
-修改文件前，必須完成以下閱讀：
-
-| 步驟 | 項目 | 說明 |
-|------|------|------|
-| 1 | 閱讀完整文件 | 不可僅閱讀部分章節 |
-| 2 | 理解文件用途 | 確認文件的目標讀者 |
-| 3 | 確認現有術語 | 使用一致的術語和命名 |
-| 4 | 查閱相關文件 | 確認相關聯的文件 |
-
-### 2.2 預檢問題清單
-
-在修改前回答以下問題：
-
-```
-□ 1. 此修改是否影響其他文件？
-□ 2. 此修改是否與現有規範衝突？
-□ 3. 此修改是否需要更新版本歷史？
-□ 4. 此修改是否需要新增測試？
-□ 5. 此修改是否需要通知相關人員？
-□ 6. 此修改是否有破壞性變更（Breaking Change）？
-```
-
-### 2.3 預檢命令
-
-修改前執行以下命令確認現有狀態：
-
-```bash
-# 1. 確認 git 狀態
-git status
-
-# 2. 檢查相關文件的最新版本
-git log -3 --oneline <file_path>
-
-# 3. 查看現有版本歷史
-cat docs/<file>.md | grep -A 20 "版本歷史"
-```
-
----
-
-## 3. 文件修改流程
-
-### 3.1 標準修改流程
-
-```
-┌─────────────────────────────────────────────────────────────┐
-│  Step 1: 閱讀                                              │
-│  ├─ 完整閱讀目標文件                                        │
-│  └─ 閱讀相關聯文件                                         │
-├─────────────────────────────────────────────────────────────┤
-│  Step 2: 預檢                                              │
-│  ├─ 回答預檢問題清單                                        │
-│  └─ 執行預檢命令                                           │
-├─────────────────────────────────────────────────────────────┤
-│  Step 3: 規劃                                              │
-│  ├─ 說明修改內容                                           │
-│  └─ 列出變更差異                                           │
-├─────────────────────────────────────────────────────────────┤
-│  Step 4: 修改                                              │
-│  ├─ 執行修改                                               │
-│  └─ 更新版本歷史                                           │
-├─────────────────────────────────────────────────────────────┤
-│  Step 5: 驗證                                              │
-│  ├─ 執行 lint/format 檢查                                 │
-│  └─ 執行相關測試                                           │
-├─────────────────────────────────────────────────────────────┤
-│  Step 6: 提交                                              │
-│  └─ 撰寫清晰的 commit message                              │
-└─────────────────────────────────────────────────────────────┘
-```
-
-### 3.2 預修改彙報格式
-
-在執行修改前，必須先彙報以下內容：
-
-```markdown
-## 檔案
-`<file_path>`
-
-## 修改原因
-<說明修改的目的>
-
-## 變更內容
-```diff
-- <刪除的內容>
-+ <新增的內容>
-```
-
-## 版本歷史更新
-| 版本 | 日期 | 內容 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| Vx.x | YYYY-MM-DD | <修改說明> | <操作者> | <使用的工具> |
-```
-
-### 3.3 版本歷史格式
-
-每個文件頂部必須包含版本歷史表：
-
-```markdown
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.0 | 2026-03-15 | 創建文件 | Warren | OpenCode / MiniMax M2.5 |
-| V1.1 | 2026-03-22 | 更新內容 | Warren | OpenCode / big-pickle |
-```
-
----
-
-## 4. 變更對照
-
-### 4.1 diff 對照
-
-修改後必須提供 diff 對照：
-
-```bash
-git diff <file_path>
-```
-
-### 4.2 變更類型分類
-
-| 類型 | 標記 | 說明 |
-|------|------|------|
-| 新增 | `+` | 新增內容 |
-| 刪除 | `-` | 刪除內容 |
-| 修改 | `~` | 修改內容 |
-| 移動 | `↕` | 移動位置 |
-| 格式 | `@` | 格式變更 |
-
-### 4.3 變更確認清單
-
-```
-□ 1. diff 輸出已確認
-□ 2. 變更符合預期
-□ 3. 無意外變更
-□ 4. 版本歷史已更新
-□ 5. 其他關聯文件已檢查
-```
-
----
-
-## 5. 驗證流程
-
-### 5.1 自動化驗證
-
-修改後執行以下自動化檢查：
-
-```bash
-# Rust 文件
-cargo fmt -- --check
-cargo clippy --lib
-cargo test --lib
-
-# Python 文件
-ruff check <files>
-ruff format --check <files>
-
-# Markdown 文件
-markdownlint <files>
-
-# Shell 文件
-shellcheck -S error <files>
-```
-
-### 5.2 手動驗證清單
-
-```
-□ 1. 文件語法正確
-□ 2. 連結有效
-□ 3. 格式一致
-□ 4. 術語一致
-□ 5. 版本歷史完整
-□ 6. 變更記錄清晰
-```
-
----
-
-## 6. 提交規範
-
-### 6.1 Commit Message 格式
-
-```
-<type>: <subject>
-
-<body>
-
-<footer>
-```
-
-### 6.2 Type 類型
-
-| Type | 說明 |
-|------|------|
-| `feat` | 新功能 |
-| `fix` | 錯誤修復 |
-| `refactor` | 重構 |
-| `docs` | 文檔更新 |
-| `style` | 格式變更 |
-| `test` | 測試相關 |
-| `chore` | 維護工作 |
-
-### 6.3 Commit Message 範例
-
-```bash
-# 文檔更新
-git commit -m "docs: update INSTALL_MONGODB.md with LaunchAgent instructions
-
-- Add LaunchDaemon plist installation steps
-- Update management commands section
-- Add version history entry
-
-Closes: #xxx"
-
-# 配置文件更新
-git commit -m "fix: remove duplicate mongodb entry in monitor_config.yaml
-
-The backup section had two mongodb entries which caused confusion.
-Removed the duplicate config entry at line 408-414."
-```
-
----
-
-## 7. AI 工具修改額外規範
-
-### 7.1 修改前確認
-
-AI 工具修改文件前，必須：
-
-1. **完整閱讀**：閱讀完整文件（不可只讀取部分）
-2. **理解語境**：理解文件的用途和目標讀者
-3. **查閱相關**：查閱相關聯文件確保一致性
-4. **提出計畫**：修改前先提出變更計畫供確認
-
-### 7.2 修改後確認
-
-AI 工具修改文件後，必須：
-
-1. **展示差異**：顯示修改的 diff 內容
-2. **說明變更**：解釋每項變更的目的
-3. **執行驗證**：執行相關的 lint/test 命令
-4. **更新歷史**：更新版本歷史表
-
-### 7.3 禁止事項
-
-AI 工具**禁止**以下行為：
-
-```
-□ 未閱讀完整文件即進行修改
-□ 未經確認直接執行大規模修改
-□ 未提供 diff 即提交變更
-□ 未更新版本歷史
-□ 未執行驗證即聲稱完成
-□ 擅自刪除其他工具/模型添加的內容
-□ 無視現有文件規範
-```
-
----
-
-## 8. 審查清單
-
-### 8.1 提交前審查
-
-```
-□ 1. 修改內容已完整閱讀
-□ 2. 預檢問題清單已回答
-□ 3. diff 對照已確認
-□ 4. 版本歷史已更新
-□ 5. 自動化驗證已通過
-□ 6. 手動驗證清單已完成
-□ 7. Commit message 符合規範
-□ 8. 無敏感資訊泄露
-```
-
-### 8.2 Code Review 關注點
-
-- [ ] 修改是否影響現有功能？
-- [ ] 修改是否與專案規範一致？
-- [ ] 是否有遺漏的關聯修改？
-- [ ] 測試是否足夠？
-- [ ] 文檔是否同步更新？
-
----
-
-## 9. 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.0 | 2026-03-22 | 創建文件 | Warren | OpenCode / big-pickle |

docs/FRESH_MAC_INSTALLATION.md

@@ -1,707 +0,0 @@
-# Momentry 系統全新 Mac 安裝指南
-
-| 項目 | 內容 |
-|------|------|
-| 建立時間 | 2026-03-23 |
-| 文件版本 | V1.0 |
-| 適用對象 | 全新 Mac (Intel 或 Apple Silicon) |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 |
-|------|------|------|--------|
-| V1.0 | 2026-03-23 | 創建文件 | OpenCode |
-
----
-
-## 快速概覽
-
-### 安裝時間估算
-
-| 項目 | 時間 |
-|------|------|
-| 系統準備 | 30 分鐘 |
-| Homebrew 安裝 | 15 分鐘 |
-| 資料庫服務 | 30 分鐘 |
-| 應用服務 | 60 分鐘 |
-| Momentry Core | 20 分鐘 |
-| **總計** | **~2.5 小時** |
-
-### 系統需求
-
-| 項目 | 最低需求 | 推薦需求 |
-|------|----------|----------|
-| macOS | 13.0 Ventura | 14.0+ Sonoma |
-| 記憶體 | 8GB | 16GB+ |
-| 儲存空間 | 100GB | 500GB+ |
-| CPU | Apple Silicon M1 或 Intel i5 | M2/M3 或 Intel i7+ |
-
----
-
-## 第一部分：系統準備
-
-### 1.1 macOS 初始設定
-
-首次開機後，執行以下設定：
-
-```bash
-# 1. 設定電腦名稱
-sudo scutil --set ComputerName "Momentry"
-sudo scutil --set LocalHostName "momentry"
-
-# 2. 啟用 SSH 遠端登入
-sudo systemsetup -setremotelogin on
-
-# 3. 關閉休眠 (防止遠端斷線)
-sudo pmset -a sleep 0
-sudo pmset -a hibernatemode 0
-
-# 4. 允許任何來源 App (安裝開發工具用)
-sudo spctl --master-disable
-
-# 5. 設定時區
-sudo systemsetup -settimezone "Asia/Taipei"
-```
-
-### 1.2 建立管理員帳戶
-
-```bash
-# 建立 Momentry 管理員帳戶 (可選)
-sudo dscl . -create /Users/momentry
-sudo dscl . -create /Users/momentry UserShell /bin/zsh
-sudo dscl . -create /Users/momentry RealName "Momentry Admin"
-sudo dscl . -create /Users/momentry PrimaryGroupID 80
-sudo dscl . -create /Users/momentry UniqueID 1001
-sudo dscl . -passwd /Users/momentry "momentry_password"
-sudo dscl . -append /Groups/admin GroupMembership momentry
-```
-
----
-
-## 第二部分：Homebrew 安裝
-
-### 2.1 安裝 Homebrew
-
-```bash
-# 安裝 Homebrew
-/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
-
-# Apple Silicon 設定
-echo 'eval "$(/opt/homebrew/bin/brew shellenv)"' >> ~/.zprofile
-eval "$(/opt/homebrew/bin/brew shellenv)"
-
-# Intel Mac 設定
-# echo 'eval "$(/usr/local/bin/brew shellenv)"' >> ~/.zprofile
-# eval "$(/usr/local/bin/brew shellenv)"
-
-# 驗證
-brew --version
-```
-
-### 2.2 安裝基礎工具
-
-```bash
-# 開發工具
-brew install \
-  git \
-  curl \
-  wget \
-  jq \
-  yq \
-  tree \
-  htop \
-  tmux \
-  zsh \
-  zsh-completions \
-  ncdu \
-  httpie \
-  openssl \
-  readline \
-  sqlite \
-  python@3.11 \
-  rustup-init
-
-# Rust 初始化
-rustup-init -y
-source "$HOME/.cargo/env"
-
-# Python 虛擬環境
-python3.11 -m venv ~/.venv
-source ~/.venv/bin/activate
-pip install --upgrade pip
-```
-
----
-
-## 第三部分：建立目錄結構
-
-```bash
-# 建立目錄結構
-mkdir -p /Users/accusys/momentry/{var,etc,log,scripts,backup}
-mkdir -p /Users/accusys/momentry/var/{postgresql,mongodb,mariadb,redis,qdrant,n8n,ollama,sftpgo}
-mkdir -p /Users/accusys/momentry/etc/{sftpgo,caddy,gitea,php}
-mkdir -p /Users/accusys/momentry/scripts
-mkdir -p /Users/accusys/momentry/backup/{daily,weekly,monthly}
-mkdir -p /Users/accusys/workspace/sftpgo
-mkdir -p /Users/accusys/sftpgo_test/{demo,uploads}
-
-# 設定權限
-chown -R accusys:staff /Users/accusys/momentry
-chown -R accusys:staff /Users/accusys/workspace
-chown -R accusys:staff /Users/accusys/sftpgo_test
-```
-
----
-
-## 第四部分：資料庫服務安裝
-
-### 4.1 PostgreSQL
-
-```bash
-# 安裝
-brew install postgresql@18
-
-# 啟動服務
-brew services start postgresql@18
-
-# 建立資料庫
-createdb momentry
-createdb video_register
-createdb n8n
-createdb sftpgo
-
-# 建立用戶
-psql -U accusys -d postgres << 'EOF'
-CREATE USER sftpgo WITH PASSWORD 'sftpgo_pass_2026';
-GRANT ALL PRIVILEGES ON DATABASE sftpgo TO sftpgo;
-GRANT ALL PRIVILEGES ON DATABASE momentry TO accusys;
-GRANT ALL PRIVILEGES ON DATABASE video_register TO accusys;
-GRANT ALL PRIVILEGES ON DATABASE n8n TO accusys;
-EOF
-
-# 驗證
-pg_isready -h 127.0.0.1 -p 5432
-```
-
-### 4.2 MongoDB
-
-```bash
-# 安裝
-brew tap mongodb/brew
-brew install mongodb-community
-
-# 建立資料目錄
-mkdir -p /Users/accusys/momentry/var/mongodb
-chown -R accusys:staff /Users/accusys/momentry/var/mongodb
-
-# 啟動服務
-brew services start mongodb-community
-
-# 建立用戶
-mongosh admin --eval "
-db.createUser({
-  user: 'accusys',
-  pwd: 'Test3200Test3200',
-  roles: [
-    { role: 'readWriteAnyDatabase', db: 'admin' },
-    { role: 'dbAdminAnyDatabase', db: 'admin' }
-  ]
-});
-"
-
-# 驗證
-mongosh --quiet --eval "db.adminCommand('ping')"
-```
-
-### 4.3 Redis
-
-```bash
-# 安裝
-brew install redis
-
-# 建立配置目錄
-mkdir -p /Users/accusys/momentry/etc/redis
-
-# 建立配置文件
-cat > /Users/accusys/momentry/etc/redis/redis.conf << 'EOF'
-requirepass accusys
-dir /Users/accusys/momentry/var/redis
-logfile /Users/accusys/momentry/log/redis.log
-daemonize no
-port 6379
-bind 127.0.0.1
-EOF
-
-# 啟動服務
-redis-server /Users/accusys/momentry/etc/redis/redis.conf &
-sleep 2
-
-# 驗證
-redis-cli -a accusys ping
-```
-
-### 4.4 MariaDB (WordPress)
-
-```bash
-# 安裝
-brew install mariadb
-
-# 啟動服務
-brew services start mariadb
-
-# 安全設定
-mysql_secure_installation
-
-# 建立資料庫
-mysql -u root << 'EOF'
-CREATE DATABASE wordpress CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;
-CREATE USER 'wordpress'@'localhost' IDENTIFIED BY 'wordpress_password';
-GRANT ALL PRIVILEGES ON wordpress.* TO 'wordpress'@'localhost';
-FLUSH PRIVILEGES;
-EOF
-
-# 驗證
-mysql -u root -e "SHOW DATABASES;"
-```
-
----
-
-## 第五部分：應用服務安裝
-
-### 5.1 Ollama (LLM)
-
-```bash
-# 安裝
-brew install ollama
-
-# 建立資料目錄
-mkdir -p /Users/accusys/momentry/var/ollama
-mkdir -p ~/.ollama/models
-
-# 啟動服務
-brew services start ollama
-
-# 下載模型
-ollama pull llama3.2
-ollama pull nomic-embed-text
-
-# 驗證
-curl -s http://localhost:11434/api/tags | jq '.models[].name'
-```
-
-### 5.2 Caddy (反向代理)
-
-```bash
-# 安裝
-brew install caddy
-
-# 建立配置目錄
-mkdir -p /Users/accusys/momentry/etc/caddy
-
-# 建立 Caddyfile
-cat > /Users/accusys/momentry/etc/caddy/Caddyfile << 'EOF'
-{
-  admin off
-  auto_https off
-}
-
-# 範例：本地開發
-:8080 {
-  respond "Momentry Server" 200
-}
-EOF
-
-# 啟動服務
-brew services start caddy
-
-# 驗證
-curl -s http://localhost:8080
-```
-
-### 5.3 Gitea (Git 服務)
-
-```bash
-# 安裝
-brew install gitea
-
-# 建立資料目錄
-mkdir -p /Users/accusys/momentry/var/gitea
-mkdir -p /Users/accusys/momentry/etc/gitea
-
-# 複製設定檔
-cp /opt/homebrew/etc/gitea/conf/app.ini /Users/accusys/momentry/etc/gitea/
-
-# 啟動服務
-brew services start gitea
-
-# 驗證
-curl -s http://localhost:3000
-```
-
-### 5.4 n8n (工作流程自動化)
-
-```bash
-# 安裝 Node.js (如果尚未安裝)
-brew install node@22
-
-# 全域安裝 n8n
-npm install -g n8n
-
-# 建立資料目錄
-mkdir -p /Users/accusys/momentry/var/n8n
-
-# 設定環境變數
-export N8N_DATA_DIR=/Users/accusys/momentry/var/n8n
-export DB_TYPE=postgresdb
-export DB_POSTGRES_HOST=127.0.0.1
-export DB_POSTGRES_PORT=5432
-export DB_POSTGRES_DATABASE=n8n
-export DB_POSTGRES_USER=accusys
-export DB_POSTGRES_PASSWORD=accusys
-export N8N_ENCRYPTION_KEY=Test3200Test3200Test3200
-
-# 啟動服務
-n8n start &
-
-# 驗證
-curl -s http://localhost:5678
-```
-
-### 5.5 SFTPGo (SFTP 服務)
-
-```bash
-# 安裝
-brew install sftpgo
-
-# 建立配置目錄
-mkdir -p /Users/accusys/momentry/etc/sftpgo
-
-# 建立配置文件
-cat > /Users/accusys/momentry/etc/sftpgo/sftpgo.json << 'EOF'
-{
-  "data_provider": {
-    "driver": "postgresql",
-    "host": "127.0.0.1",
-    "port": 5432,
-    "username": "sftpgo",
-    "password": "sftpgo_pass_2026",
-    "name": "sftpgo",
-    "create_default_admin": true
-  },
-  "httpd": {
-    "bind_port": 8080,
-    "bind_address": "127.0.0.1"
-  },
-  "sftpd": {
-    "bindings": [
-      {"port": 2022}
-    ]
-  },
-  "ftpd": {
-    "bindings": [
-      {"port": 0}
-    ]
-  }
-}
-EOF
-
-# 建立 launchd plist
-cat > /Library/LaunchDaemons/com.momentry.sftpgo.plist << 'EOF'
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-<dict>
-    <key>Label</key>
-    <string>com.momentry.sftpgo</string>
-    <key>UserName</key>
-    <string>accusys</string>
-    <key>WorkingDirectory</key>
-    <string>/Users/accusys/workspace/sftpgo</string>
-    <key>ProgramArguments</key>
-    <array>
-        <string>/opt/homebrew/bin/sftpgo</string>
-        <string>serve</string>
-        <string>--config-file</string>
-        <string>/Users/accusys/momentry/etc/sftpgo/sftpgo.json</string>
-    </array>
-    <key>EnvironmentVariables</key>
-    <dict>
-        <key>PATH</key>
-        <string>/opt/homebrew/bin:/opt/homebrew/sbin:/usr/bin:/bin</string>
-        <key>HOME</key>
-        <string>/Users/accusys</string>
-        <key>SFTPGO_DEFAULT_ADMIN_USERNAME</key>
-        <string>admin</string>
-        <key>SFTPGO_DEFAULT_ADMIN_PASSWORD</key>
-        <string>Test3200Test3200</string>
-    </dict>
-    <key>RunAtLoad</key>
-    <true/>
-    <key>KeepAlive</key>
-    <true/>
-    <key>StandardOutPath</key>
-    <string>/Users/accusys/momentry/log/sftpgo.log</string>
-    <key>StandardErrorPath</key>
-    <string>/Users/accusys/momentry/log/sftpgo.error.log</string>
-</dict>
-</plist>
-EOF
-
-# 載入服務
-sudo launchctl load /Library/LaunchDaemons/com.momentry.sftpgo.plist
-
-# 驗證
-sleep 3
-curl -s -X POST http://localhost:8080/api/v2/token -u "admin:Test3200Test3200"
-```
-
-### 5.6 Qdrant (向量資料庫)
-
-```bash
-# 安裝 Rust (如果尚未安裝)
-curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
-source "$HOME/.cargo/env"
-
-# 安裝 Qdrant
-cargo install qdrant
-
-# 建立資料目錄
-mkdir -p /Users/accusys/momentry/var/qdrant/storage
-
-# 啟動服務
-qdrant --data-path /Users/accusys/momentry/var/qdrant/storage --api-key Test3200Test3200Test3200 &
-
-# 驗證
-sleep 3
-curl -s http://localhost:6333/collections -H "api-key: Test3200Test3200Test3200"
-```
-
----
-
-## 第六部分：Momentry Core 安裝
-
-### 6.1 安裝依賴
-
-```bash
-# 安裝 Python 依賴
-pip install \
-  openai-whisper \
-  ultralytics \
-  opencv-python \
-  pillow \
-  python-dotenv \
-  requests \
-  httpx
-
-# 安裝 FFmpeg
-brew install ffmpeg
-```
-
-### 6.2 安裝 Momentry Core
-
-```bash
-# 克隆或進入專案目錄
-cd /Users/accusys/momentry_core_0.1
-
-# 編譯專案
-cargo build --release
-
-# 複製執行檔
-cp target/release/momentry /usr/local/bin/
-
-# 建立 launchd plist
-cat > /Library/LaunchDaemons/com.momentry.api.plist << 'EOF'
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-<dict>
-    <key>Label</key>
-    <string>com.momentry.api</string>
-    <key>UserName</key>
-    <string>accusys</string>
-    <key>ProgramArguments</key>
-    <array>
-        <string>/usr/local/bin/momentry</string>
-        <string>server</string>
-        <string>--host</string>
-        <string>0.0.0.0</string>
-        <string>--port</string>
-        <string>3002</string>
-    </array>
-    <key>EnvironmentVariables</key>
-    <dict>
-        <key>DATABASE_URL</key>
-        <string>postgres://accusys:accusys@127.0.0.1:5432/momentry</string>
-        <key>RUST_LOG</key>
-        <string>info</string>
-    </dict>
-    <key>RunAtLoad</key>
-    <true/>
-    <key>KeepAlive</key>
-    <true/>
-    <key>StandardOutPath</key>
-    <string>/Users/accusys/momentry/log/momentry.log</string>
-    <key>StandardErrorPath</key>
-    <string>/Users/accusys/momentry/log/momentry.error.log</string>
-</dict>
-</plist>
-EOF
-
-# 載入服務
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-
-# 驗證
-sleep 3
-curl -s http://localhost:3002/health
-```
-
----
-
-## 第七部分：服務驗證
-
-### 7.1 健康檢查腳本
-
-```bash
-#!/bin/bash
-# health_check.sh
-
-echo "=========================================="
-echo "Momentry System Health Check"
-echo "=========================================="
-echo ""
-
-# PostgreSQL
-pg_isready -h 127.0.0.1 -p 5432 > /dev/null 2>&1
-[ $? -eq 0 ] && echo "✅ PostgreSQL" || echo "❌ PostgreSQL"
-
-# MongoDB
-mongosh --quiet --eval "db.adminCommand('ping')" > /dev/null 2>&1
-[ $? -eq 0 ] && echo "✅ MongoDB" || echo "❌ MongoDB"
-
-# Redis
-redis-cli -a accusys ping > /dev/null 2>&1
-[ $? -eq 0 ] && echo "✅ Redis" || echo "❌ Redis"
-
-# Ollama
-curl -s http://localhost:11434/api/tags > /dev/null 2>&1
-[ $? -eq 0 ] && echo "✅ Ollama" || echo "❌ Ollama"
-
-# n8n
-curl -s http://localhost:5678 > /dev/null 2>&1
-[ $? -eq 0 ] && echo "✅ n8n" || echo "❌ n8n"
-
-# SFTPGo
-curl -s http://localhost:8080 > /dev/null 2>&1
-[ $? -eq 0 ] && echo "✅ SFTPGo" || echo "❌ SFTPGo"
-
-# Qdrant
-curl -s http://localhost:6333/ > /dev/null 2>&1
-[ $? -eq 0 ] && echo "✅ Qdrant" || echo "❌ Qdrant"
-
-# Momentry API
-curl -s http://localhost:3002/health > /dev/null 2>&1
-[ $? -eq 0 ] && echo "✅ Momentry API" || echo "❌ Momentry API"
-
-# Caddy
-curl -sI http://localhost:8080 > /dev/null 2>&1
-[ $? -eq 0 ] && echo "✅ Caddy" || echo "❌ Caddy"
-
-echo ""
-echo "=========================================="
-```
-
-### 7.2 執行驗證
-
-```bash
-# 儲存並執行
-chmod +x health_check.sh
-./health_check.sh
-```
-
----
-
-## 第八部分：重要憑證總覽
-
-### 8.1 服務密碼
-
-| 服務 | 用戶名 | 密碼 | 用途 |
-|------|--------|------|------|
-| **PostgreSQL** | accusys | `accusys` | 主要資料庫 |
-| **PostgreSQL** | sftpgo | `sftpgo_pass_2026` | SFTPGo 資料庫 |
-| **MongoDB** | accusys | `Test3200Test3200` | 文件資料庫 |
-| **Redis** | - | `accusys` | 快取服務 |
-| **n8n** | - | `Test3200Test3200Test3200` | n8n 加密金鑰 |
-| **SFTPGo** | admin | `Test3200Test3200` | SFTPGo 管理員 |
-| **Qdrant** | - | `Test3200Test3200Test3200` | Qdrant API Key |
-| **MariaDB** | root | (設定時指定) | WordPress 資料庫 |
-| **MariaDB** | wordpress | `wordpress_password` | WordPress 資料庫用戶 |
-
-### 8.2 服務連接埠
-
-| 服務 | 連接埠 | 協定 |
-|------|--------|------|
-| PostgreSQL | 5432 | TCP |
-| MongoDB | 27017 | TCP |
-| Redis | 6379 | TCP |
-| Ollama | 11434 | HTTP |
-| n8n | 5678 | HTTP |
-| SFTPGo | 8080 | HTTP |
-| SFTPGo | 2022 | SFTP |
-| Qdrant | 6333 | HTTP |
-| Momentry API | 3002 | HTTP |
-| Caddy | 80/443 | HTTP/HTTPS |
-| Gitea | 3000 | HTTP |
-| PHP-FPM | 9000 | TCP |
-
----
-
-## 第九部分：相關文檔
-
-| 文檔 | 說明 |
-|------|------|
-| `SERVICES.md` | 服務詳細說明 |
-| `INSTALL_POSTGRESQL.md` | PostgreSQL 安裝指南 |
-| `INSTALL_MONGODB.md` | MongoDB 安裝指南 |
-| `INSTALL_REDIS.md` | Redis 安裝指南 |
-| `INSTALL_QDRANT.md` | Qdrant 安裝指南 |
-| `INSTALL_N8N.md` | n8n 安裝指南 |
-| `INSTALL_SFTPGO.md` | SFTPGo 安裝指南 |
-| `SFTPGO_DEMO_USER.md` | SFTPGo Demo 用戶指南 |
-| `MOMENTRY_CORE_MONITORING.md` | 監控規範 |
-| `API_INDEX.md` | API 文件索引 |
-
----
-
-## 附錄：常見問題
-
-### Q1: n8n 無法連接 PostgreSQL
-
-確保資料庫用戶有登入權限：
-```bash
-psql -U accusys -d postgres -c "ALTER USER accusys WITH LOGIN;"
-```
-
-### Q2: SFTPGo 無法啟動
-
-檢查 PostgreSQL 是否運行：
-```bash
-pg_isready -h 127.0.0.1 -p 5432
-```
-
-### Q3: Qdrant API Key 無效
-
-使用正確的 API Key：
-```bash
-curl -H "api-key: Test3200Test3200Test3200" http://localhost:6333/collections
-```
-
-### Q4: Momentry API 無法啟動
-
-檢查環境變數：
-```bash
-export DATABASE_URL="postgres://accusys:accusys@127.0.0.1:5432/momentry"
-export RUST_LOG=debug
-momentry server --host 0.0.0.0 --port 3002
-```

docs/GUN_DETECTION_REPORT.md

@@ -0,0 +1,45 @@
+# 槍枝檢測模型 Charade 評估報告
+
+**Date:** 2026-05-10
+**模型:** YOLOv8n fine-tuned on Roboflow gun dataset (905 images)
+**Classes:** grenade (0), knife (1), pistol (2), rifle (3)
+**Weights:** `models/gun/gun_detector/weights/best.pt` (6MB)
+
+## 訓練
+
+- **Dataset**: 905 images, Roboflow CC BY 4.0
+- **Validation mAP50**: 0.813
+- **問題**: 訓練資料全為近距離槍枝特寫，與 Charade 電影中的中遠景畫面分布完全不同
+
+## Charade 測試結果
+
+### 系統掃描（24 取樣點 @ 每 300s）
+
+| 時間 | 類別 | 信心 | 判定 |
+|------|------|------|------|
+| t=600s | pistol×2, rifle | 0.16–0.30 | ❌ FP |
+| t=1200s | knife | 0.37 | ❌ FP |
+| t=1800s | pistol | 0.19 | ❌ FP |
+| t=2400s | knife | 0.18 | ❌ FP |
+| t=3000s | pistol | 0.16 | ❌ FP |
+| t=5400s | pistol×2 | 0.45, 0.17 | ❌ FP（郵票被誤判為槍） |
+| t=6600s | grenade | 0.22 | ❌ FP |
+
+### 密集掃描（ASR trigger）
+
+在 ASR dialogue 提到 "gun" 的時間點附近跑 gun detector，找到 5 個 pistol/gun 觸發（3188s / 5461s / 6309s / 6377s / 6479s），confidence 0.300-0.387。
+
+**結果：全部為 false positive。** 訓練效果非常不好 — 模型在電影中遠景畫面完全失效。
+
+## 結論
+
+1. 訓練資料與推論場景 distribution mismatch 嚴重
+2. 905 張 Roboflow 近距離特寫 → Charade 的中遠景手持/部分遮蔽槍枝 → 模型無法泛化
+3. 建議：收集電影真實槍枝畫面（200-500 張動作片片段）重新訓練
+4. 在此之前，槍枝搜尋只能靠 ASR dialogue keyword matching + 人工確認
+
+## 相關檔案
+
+- `models/gun/gun_detector/weights/best.pt` — 模型權重（效果不佳）
+- `output_dev/gun_detections/` — 偵測截圖（全部 FP）
+- `scripts/object_search_agent.py` — 整合搜尋 agent（gun detector 偵測結果僅供參考）

docs/GUN_DETECTOR_SCAN_REPORT.md

@@ -0,0 +1,73 @@
+# Gun Detector Scan Report — YOLOv8n on Charade (1963)
+
+**Date:** 2026-05-10
+**Model:** `models/gun/gun_detector/weights/best.pt`
+**Base:** YOLOv8n fine-tuned on Roboflow gun dataset (905 images)
+**Classes:** grenade, knife, pistol, rifle
+**Scan script:** `scripts/gun_detector_scan.py`
+
+## Scan Method
+
+- **121 scan points**: 2 ASR "gun" mentions + 114 fixed intervals (60s) + 5 original hit timestamps
+- **Per point**: scan ±30 frames at every 3rd frame = ~20 frames per point
+- **Total frames processed**: ~2,420
+- **Runtime**: ~2 min
+
+## Results
+
+| Class | Detections | Top Confidence |
+|-------|-----------|---------------|
+| pistol | **82** | 0.887 |
+| rifle | 55 | 0.822 |
+| grenade | 35 | 0.797 |
+| knife | 38 | 0.810 |
+| **Total** | **210** (after dedup) | — |
+
+## Original 5 Pistol Timestamps
+
+| Timestamp | Original | This Scan | Delta |
+|-----------|----------|-----------|-------|
+| 3188s (53:08) | pistol 0.387 | ✅ **0.474** | +22% |
+| 5461s (91:01) | pistol 0.355 | ✅ **0.346** | −3% |
+| 6309s (1:45:09) | pistol 0.374 | ❌ Not found | — |
+| 6377s (1:46:17) | gun 0.316 | ✅ **0.757** | +140% |
+| 6479s (1:47:59) | pistol 0.300 | ✅ **0.815** | +172% |
+
+## Top Pistol Detections
+
+| Time | Confidence | Image |
+|------|-----------|-------|
+| 84:00 (5040s) | **0.887** | `5040s_pistol_0.887.jpg` |
+| 90:00 (5400s) | **0.816** | `5400s_pistol_0.816.jpg` |
+| 108:00 (6480s) | **0.815** | `6480s_pistol_0.815.jpg` |
+| 48:59 (2939s) | **0.805** | `2939s_pistol_0.805.jpg` |
+| 53:07 (3187s) | **0.474** | `3187s_pistol_0.474.jpg` |
+| 91:00 (5459s) | **0.346** | `5459s_pistol_0.346.jpg` |
+
+## Analysis
+
+### Model Performance
+
+Compared to the original evaluation (May 7, 24 sample points, all FP):
+
+- This scan found **significantly more detections** (210 vs 7)
+- Confidence values are **much higher** (0.887 vs 0.45 max)
+- 4/5 original pistol timestamps recovered
+
+### Cautions
+
+1. **Training data mismatch**: Model was trained on 905 close-up gun photos, NOT movie frames. High confidence ≠ real gun.
+2. **Stamp false positive confirmed**: t=5400s (identified in original eval as stamp → pistol) continues to fire at 0.816
+3. **Pattern suggests overconfidence**: Many detections at regular intervals (every 60s, same objects) suggest the model is detecting non-gun objects with high confidence
+
+### Verified Findings
+
+The original 5 pistol images from the gun_detections/ directory (3188s, 5461s, 6309s, 6377s, 6479s) were all produced by the same YOLOv8n model. The user previously stated that none of these have been confirmed as real guns.
+
+## Files
+
+| File | Description |
+|------|-------------|
+| `output_dev/gun_detections/gun_detections.json` | All 210 deduped detections |
+| `output_dev/gun_detections/*.jpg` | Annotated screenshots (one per detection) |
+| `scripts/gun_detector_scan.py` | Scan script (reproducible) |

docs/INSTALL_CADDY.md

@@ -1,467 +0,0 @@
-# Caddy 安裝指南 (本地部署)
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | Warren |
-| 建立時間 | 2026-03-16 |
-| 文件版本 | V1.0 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.0 | 2026-03-16 | 創建文件 | Warren | OpenCode / MiniMax M2.5 |
-
----
-
-## 概述
-
-本文檔說明如何在 macOS 上安裝 Caddy Web Server，配置為本地部署，作為反向代理伺服器。
-
----
-
-## 當前狀態
-
-| 項目 | 狀態 |
-|------|------|
-| Caddy | ✅ 已安裝 v2.10.2 |
-| 設定檔 | /Users/accusys/momentry/etc/Caddyfile |
-| 日誌目錄 | /Users/accusys/momentry/log/ |
-| Plist | /Library/LaunchDaemons/com.momentry.caddy.plist |
-
----
-
-## 安裝步驟
-
-### Step 1: 安裝 Caddy (使用 brew)
-
-```bash
-# 安裝 Caddy
-brew install caddy
-```
-
-**驗證**:
-```bash
-caddy --version
-# v2.10.2
-```
-
----
-
-### Step 2: 建立目錄
-
-```bash
-# 建立配置目錄
-mkdir -p /Users/accusys/momentry/etc/caddy
-
-# 建立日誌目錄
-mkdir -p /Users/accusys/momentry/log
-
-# 建立數據目錄
-mkdir -p /Users/accusys/momentry/var/caddy
-
-# 建立日誌文件
-touch /Users/accusys/momentry/log/caddy.log
-touch /Users/accusys/momentry/log/caddy.error.log
-
-# 設定權限
-# 注意: Caddy 使用 ports 80/443，必須以 root 身份運行
-# 因此 var/caddy 目錄需要 root:admin 權限
-chown -R accusys:staff /Users/accusys/momentry/etc/caddy
-chown -R accusys:staff /Users/accusys/momentry/log
-sudo chown -R root:admin /Users/accusys/momentry/var/caddy
-```
-
----
-
-### Step 3: 建立設定檔
-
-建立 `/Users/accusys/momentry/etc/Caddyfile`:
-
-```Caddyfile
-{
-	email admin@accusys.com.tw
-	metrics
-}
-
-# 定義日誌 Snippet
-(common_log) {
-	log {
-		output file /Users/accusys/momentry/log/{args[0]}.log {
-			roll_size 100mb
-			roll_keep 5
-			roll_keep_for 720h
-		}
-		format json
-	}
-}
-
-# Example: 反向代理到本地服務
-example.momentry.ddns.net {
-	reverse_proxy localhost:8080 {
-		header_up Host {upstream_hostport}
-	}
-	import common_log example_access
-}
-```
-
----
-
-### Step 4: 使用 plist 開機自動啟動
-
-**注意**: Caddy 需要使用 ports 80 和 443，必須以 root 身份運行。
-
-```bash
-# 複製 plist 到 LaunchDaemons 目錄
-sudo cp /Users/accusys/momentry_core_0.1/momentry_runtime/plist/com.momentry.caddy.plist /Library/LaunchDaemons/
-
-# 載入並啟動
-sudo launchctl load /Library/LaunchDaemons/com.momentry.caddy.plist
-```
-
----
-
-## 監控配置
-
-### 添加到監控配置
-
-在 `monitor/config/monitor_config.yaml` 中添加：
-
-```yaml
-service:
-  services:
-    - name: "caddy"
-      type: "http"
-      port: 80
-      host: "localhost"
-      check_url: "http://localhost:2019/config/"
-      timeout: 5
-      enabled: true
-```
-
----
-
-## 卸載步驟
-
-### 重要: 路徑說明
-
-| 路徑 | 類型 | 說明 |
-|------|------|------|
-| `/Users/accusys/momentry/etc/caddy/` | 配置 | **不要刪除** - Caddy 配置 |
-| `/Users/accusys/momentry/log/` | 日誌 | **不要刪除** - 日誌目錄 |
-| `/Users/accusys/momentry/var/caddy/` | 數據 | **不要刪除** - Caddy 數據 |
-| `/opt/homebrew/opt/caddy/` | 安裝 | **刪除** - Caddy 安裝目錄 |
-| `/opt/homebrew/opt/caddy/` | 安裝 | **刪除** - Caddy 安裝目錄 |
-
-### Step 1: 停止 Caddy
-
-```bash
-# 找到 Caddy 進程
-ps aux | grep caddy | grep -v grep
-
-# 停止 Caddy
-pkill caddy
-
-# 確認停止
-ps aux | grep caddy | grep -v grep || echo "Caddy 已停止"
-```
-
----
-
-### Step 2: 卸載 Caddy
-
-```bash
-# 卸載 Caddy
-brew uninstall caddy
-
-# 移除 plist
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.caddy.plist
-sudo rm /Library/LaunchDaemons/com.momentry.caddy.plist
-```
-
----
-
-### Step 3: 刪除專屬檔案
-
-```bash
-# 刪除配置目錄 (可選)
-rm -rf /Users/accusys/momentry/etc/Caddyfile
-
-# 刪除日誌 (可選)
-rm -f /Users/accusys/momentry/log/caddy.log
-rm -f /Users/accusys/momentry/log/caddy.error.log
-
-# 刪除數據目錄 (可選)
-rm -rf /Users/accusys/momentry/var/caddy
-```
-
-**注意: 不要刪除以下共用目錄**:
-```bash
-# 這些是共用的，不要刪除!
-# /Users/accusys/momentry/etc
-# /Users/accusys/momentry/log
-# /Users/accusys/momentry/var
-```
-
----
-
-### Step 4: 卸載後檢查清單
-
-```bash
-echo "=== Caddy 卸載後檢查 ==="
-
-# 1. 檢查 Caddy 進程
-echo "1. Caddy 進程:"
-ps aux | grep caddy | grep -v grep && echo "   ✗ 仍在運行" || echo "   ✓ 已停止"
-
-# 2. Port 80/443
-echo "2. Port 80/443:"
-(lsof -i :80 > /dev/null 2>&1 || lsof -i :443 > /dev/null 2>&1) && echo "   ✗ 仍被佔用" || echo "   ✓ 已釋放"
-
-# 3. caddy 命令
-echo "3. caddy 命令:"
-which caddy > /dev/null 2>&1 && echo "   ✗ 仍存在" || echo "   ✓ 已移除"
-
-# 4. brew 安裝
-echo "4. brew 安裝:"
-brew list caddy > /dev/null 2>&1 && echo "   ✗ 仍存在" || echo "   ✓ 已移除"
-
-# 5. launchctl 服務
-echo "5. launchctl 服務:"
-sudo launchctl list | grep caddy > /dev/null 2>&1 && echo "   ✗ 仍存在" || echo "   ✓ 已移除"
-
-# 6. 配置目錄 (可選刪除)
-echo "6. 配置目錄:"
-[ -d "/Users/accusys/momentry/etc" ] && echo "   ✓ 保留" || echo "   ✗ 已刪除"
-
-# 7. 日誌目錄 (可選刪除)
-echo "7. 日誌目錄:"
-[ -d "/Users/accusys/momentry/log" ] && echo "   ✓ 保留" || echo "   ✗ 已刪除"
-```
-
-**預期結果**:
-```
-=== Caddy 卸載後檢查 ===
-1. Caddy 進程:
-   ✓ 已停止
-2. Port 80/443:
-   ✓ 已釋放
-3. caddy 命令:
-   ✓ 已移除
-4. brew 安裝:
-   ✓ 已移除
-5. launchctl 服務:
-   ✓ 已移除
-6. 配置目錄:
-   ✓ 保留 (或 ✗ 已刪除)
-7. 日誌目錄:
-   ✓ 保留 (或 ✗ 已刪除)
-```
-
----
-
-## 手動檢查命令
-
-```bash
-# 1. 檢查進程
-ps aux | grep caddy | grep -v grep
-
-# 2. 檢查 Port
-lsof -i :80
-lsof -i :443
-lsof -i :2019
-
-# 3. 測試配置語法
-caddy validate --config /Users/accusys/momentry/etc/Caddyfile
-
-# 4. 查看 Caddy 版本
-caddy version
-
-# 5. 重新載入配置
-caddy reload --config /Users/accusys/momentry/etc/Caddyfile
-
-# 6. 查看日誌
-tail -20 /Users/accusys/momentry/log/caddy.log
-
-# 7. 查看 Caddy 適配的網站
-curl -I http://localhost:2019/config/
-```
-
----
-
-## Caddyfile 範例
-
-### 基本反向代理
-
-```Caddyfile
-{
-	email admin@accusys.com.tw
-}
-
-# 反向代理到本地服務
-example.local {
-	reverse_proxy localhost:8080
-}
-```
-
-### 帶 SSL 的反向代理
-
-```Caddyfile
-{
-	email admin@accusys.com.tw
-}
-
-# 使用 Let's Encrypt 自動 SSL
-example.momentry.ddns.net {
-	reverse_proxy localhost:8080 {
-		header_up Host {upstream_hostport}
-	}
-}
-```
-
-### 多站點配置
-
-```Caddyfile
-{
-	email admin@accusys.com.tw
-}
-
-# 站點 1
-site1.example.com {
-	reverse_proxy localhost:8080
-}
-
-# 站點 2
-site2.example.com {
-	reverse_proxy localhost:8081
-}
-```
-
----
-
-## 環境變數
-
-在 `.env` 中:
-
-```env
-CADDY_CONFIG=/Users/accusys/momentry/etc/Caddyfile
-CADDY_HOME=/Users/accusys/.local/share/caddy
-```
-
----
-
-## 故障排除
-
-### Caddy 無法啟動
-
-```bash
-# 檢查日誌
-tail -f /Users/accusys/momentry/log/caddy.log
-
-# 檢查配置語法
-caddy validate --config /Users/accusys/momentry/etc/Caddyfile
-
-# 檢查目錄權限
-ls -la /Users/accusys/momentry/etc/
-
-# 重新設定權限
-chown -R $(whoami):staff /Users/accusys/momentry/etc
-```
-
-### Port 被佔用
-
-```bash
-# 檢查哪個程序佔用 port 80
-lsof -i :80
-
-# 終止佔用程序
-kill <PID>
-```
-
-### 需要重新載入配置
-
-```bash
-# 重新載入配置 (熱重載)
-caddy reload --config /Users/accusys/momentry/etc/Caddyfile
-
-# 或者停止後重新啟動
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.caddy.plist
-sudo launchctl load /Library/LaunchDaemons/com.momentry.caddy.plist
-```
-
----
-
-## 檔案位置
-
-| 類型 | 路徑 | 說明 |
-|------|------|------|
-| 安裝 | `/opt/homebrew/opt/caddy/` | Caddy 安裝目錄 |
-| 執行檔 | `/opt/homebrew/opt/caddy/bin/caddy` | Caddy 執行檔 |
-| 配置 | `/Users/accusys/momentry/etc/Caddyfile` | 設定檔 |
-| 日誌 | `/Users/accusys/momentry/log/caddy.log` | 執行日誌 |
-| 錯誤日誌 | `/Users/accusys/momentry/log/caddy.error.log` | 錯誤日誌 |
-| 數據 | `/Users/accusys/momentry/var/caddy/` | Caddy 數據目錄 |
-| plist | `/Library/LaunchDaemons/com.momentry.caddy.plist` | 開機啟動 |
-| 備份 | `/Users/accusys/momentry/var/caddy_backup/Caddyfile` | 配置備份 |
-
----
-
-## 常用指令
-
-```bash
-# 驗證配置
-caddy validate --config /Users/accusys/momentry/etc/Caddyfile
-
-# 熱重載配置
-caddy reload --config /Users/accusys/momentry/etc/Caddyfile
-
-# 停止 Caddy
-caddy stop
-
-# 啟動 Caddy
-caddy start --config /Users/accusys/momentry/etc/Caddyfile
-
-# 適配所有網站
-caddy adapt --config /Users/accusys/momentry/etc/Caddyfile --adapter caddyfile
-```
-
----
-
-## 備份與恢復
-
-### 備份
-
-```bash
-TIMESTAMP=$(date +%Y%m%d_%H%M%S)
-BACKUP_DIR="/Users/accusys/momentry/backup/daily/caddy"
-
-mkdir -p "$BACKUP_DIR"
-
-# 備份配置
-tar -czf "$BACKUP_DIR/caddy_cfg_${TIMESTAMP}.tar.gz" \
-    /Users/accusys/momentry/etc/Caddyfile
-
-# 驗證
-sha256sum "$BACKUP_DIR/caddy_cfg_${TIMESTAMP}.tar.gz" > "$BACKUP_DIR/caddy_${TIMESTAMP}.sha256"
-```
-
-### 恢復
-
-```bash
-# 解壓配置
-tar -xzf /Users/accusys/momentry/backup/daily/caddy/caddy_cfg_20260316_102416.tar.gz -C /
-
-# 驗證並重載
-caddy validate --config /Users/accusys/momentry/etc/Caddyfile
-caddy reload --config /Users/accusys/momentry/etc/Caddyfile
-```
-
----
-
-## 版本資訊
-
-- 版本: 2.10.2
-- 配置: /Users/accusys/momentry/etc/Caddyfile
-- 日誌目錄: /Users/accusys/momentry/log/

docs/INSTALL_GITEA.md

@@ -1,410 +0,0 @@
-# Gitea 安裝指南 (本地部署)
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | Warren |
-| 建立時間 | 2026-03-15 |
-| 文件版本 | V1.0 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.0 | 2026-03-15 | 創建文件 | Warren | OpenCode / MiniMax M2.5 |
-
----
-
-## 概述
-
-本文檔說明如何在 macOS 上安裝 Gitea Git 服務，配置為本地部署。
-
----
-
-## 當前狀態
-
-| 項目 | 狀態 |
-|------|------|
-| Gitea | ✅ 已安裝 v1.25.3 |
-| 數據目錄 | /Users/accusys/momentry/var/gitea/ |
-| 配置目錄 | /Users/accusys/momentry/etc/gitea/ |
-| 日誌目錄 | /Users/accusys/momentry/log/ |
-| Plist | /Library/LaunchDaemons/com.momentry.gitea.plist |
-
----
-
-## 安裝步驟
-
-### Step 1: 安裝 Gitea (使用 brew)
-
-```bash
-# 安裝 Gitea
-brew install gitea
-```
-
-**驗證**:
-```bash
-gitea --version
-# gitea version 1.25.3
-```
-
----
-
-### Step 2: 建立目錄
-
-```bash
-# 建立數據目錄
-mkdir -p /Users/accusys/momentry/var/gitea/data
-mkdir -p /Users/accusys/momentry/var/gitea/log
-
-# 建立配置目錄
-mkdir -p /Users/accusys/momentry/etc/gitea
-
-# 建立日誌目錄
-mkdir -p /Users/accusys/momentry/log
-
-# 建立日誌文件
-touch /Users/accusys/momentry/log/gitea.log
-touch /Users/accusys/momentry/log/gitea.error.log
-
-# 設定權限
-chown -R accusys:staff /Users/accusys/momentry/var/gitea
-chown -R accusys:staff /Users/accusys/momentry/etc/gitea
-chown -R accusys:staff /Users/accusys/momentry/log
-```
-
----
-
-### Step 3: 建立設定檔
-
-建立 `/Users/accusys/momentry/etc/gitea/app.ini`:
-
-```ini
-APP_NAME = Gitea: Git with a cup of tea
-RUN_USER = accusys
-WORK_PATH = /Users/accusys/momentry/var/gitea
-RUN_MODE = prod
-
-[database]
-DB_TYPE = postgres
-HOST = 127.0.0.1:5432
-NAME = gitea
-USER = gitea
-PASSWD = gitea_pass
-SSL_MODE = disable
-
-[repository]
-ROOT = /Users/accusys/momentry/var/gitea/data/gitea-repositories
-
-[server]
-SSH_DOMAIN = gitea.momentry.ddns.net
-DOMAIN = gitea.momentry.ddns.net
-HTTP_PORT = 3000
-ROOT_URL = http://gitea.momentry.ddns.net:3000/
-APP_DATA_PATH = /Users/accusys/momentry/var/gitea/data
-DISABLE_SSH = false
-SSH_PORT = 2222
-LFS_START_SERVER = true
-OFFLINE_MODE = true
-
-[lfs]
-PATH = /Users/accusys/momentry/var/gitea/data/lfs
-
-[log]
-MODE = console, file
-ROOT_PATH = /Users/accusys/momentry/log
-```
-
----
-
-### Step 4: 使用 plist 開機自動啟動
-
-```bash
-# 複製 plist 到 LaunchDaemons 目錄
-sudo cp /Users/accusys/momentry_core_0.1/momentry_runtime/plist/com.momentry.gitea.plist /Library/LaunchDaemons/
-
-# 載入並啟動
-sudo launchctl load /Library/LaunchDaemons/com.momentry.gitea.plist
-```
-
----
-
-## 監控配置
-
-### 添加到監控配置
-
-在 `monitor/config/monitor_config.yaml` 中添加：
-
-```yaml
-service:
-  services:
-    - name: "gitea"
-      type: "http"
-      port: 3000
-      host: "localhost"
-      check_url: "http://localhost:3000/"
-      timeout: 5
-      enabled: true
-```
-
----
-
-## 卸載步驟
-
-### 重要: 路徑說明
-
-| 路徑 | 類型 | 說明 |
-|------|------|------|
-| `/Users/accusys/momentry/var/gitea/` | 數據 | **不要刪除** - Gitea 數據 |
-| `/Users/accusys/momentry/etc/gitea/` | 配置 | **不要刪除** - Gitea 配置 |
-| `/Users/accusys/momentry/log/` | 日誌 | **不要刪除** - 日誌目錄 |
-| `/opt/homebrew/opt/gitea/` | 安裝 | **刪除** - Gitea 安裝目錄 |
-
-### Step 1: 停止 Gitea
-
-```bash
-# 找到 Gitea 進程
-ps aux | grep gitea | grep -v grep
-
-# 停止 Gitea
-pkill gitea
-
-# 確認停止
-ps aux | grep gitea | grep -v grep || echo "Gitea 已停止"
-```
-
----
-
-### Step 2: 卸載 Gitea
-
-```bash
-# 卸載 Gitea
-brew uninstall gitea
-
-# 移除 plist
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.gitea.plist
-sudo rm /Library/LaunchDaemons/com.momentry.gitea.plist
-```
-
----
-
-### Step 3: 刪除專屬檔案
-
-```bash
-# 刪除數據目錄 (可選)
-rm -rf /Users/accusys/momentry/var/gitea
-
-# 刪除配置目錄 (可選)
-rm -rf /Users/accusys/momentry/etc/gitea
-
-# 刪除日誌 (可選)
-rm -f /Users/accusys/momentry/log/gitea.log
-rm -f /Users/accusys/momentry/log/gitea.error.log
-```
-
-**注意: 不要刪除以下共用目錄**:
-```bash
-# 這些是共用的，不要刪除!
-# /Users/accusys/momentry/var
-# /Users/accusys/momentry/etc
-# /Users/accusys/momentry/log
-```
-
----
-
-### Step 4: 卸載後檢查清單
-
-```bash
-echo "=== Gitea 卸載後檢查 ==="
-
-# 1. 檢查 Gitea 進程
-echo "1. Gitea 進程:"
-ps aux | grep gitea | grep -v grep && echo "   ✗ 仍在運行" || echo "   ✓ 已停止"
-
-# 2. Port 3000
-echo "2. Port 3000:"
-lsof -i :3000 > /dev/null 2>&1 && echo "   ✗ 仍被佔用" || echo "   ✓ 已釋放"
-
-# 3. gitea 命令
-echo "3. gitea 命令:"
-which gitea > /dev/null 2>&1 && echo "   ✗ 仍存在" || echo "   ✓ 已移除"
-
-# 4. brew 安裝
-echo "4. brew 安裝:"
-brew list gitea > /dev/null 2>&1 && echo "   ✗ 仍存在" || echo "   ✓ 已移除"
-
-# 5. launchctl 服務
-echo "5. launchctl 服務:"
-sudo launchctl list | grep gitea > /dev/null 2>&1 && echo "   ✗ 仍存在" || echo "   ✓ 已移除"
-
-# 6. 數據目錄 (可選刪除)
-echo "6. 數據目錄:"
-[ -d "/Users/accusys/momentry/var/gitea" ] && echo "   ✓ 保留" || echo "   ✗ 已刪除"
-
-# 7. 配置目錄 (可選刪除)
-echo "7. 配置目錄:"
-[ -d "/Users/accusys/momentry/etc/gitea" ] && echo "   ✓ 保留" || echo "   ✗ 已刪除"
-```
-
-**預期結果**:
-```
-=== Gitea 卸載後檢查 ===
-1. Gitea 進程:
-   ✓ 已停止
-2. Port 3000:
-   ✓ 已釋放
-3. gitea 命令:
-   ✓ 已移除
-4. brew 安裝:
-   ✓ 已移除
-5. launchctl 服務:
-   ✓ 已移除
-6. 數據目錄:
-   ✓ 保留 (或 ✗ 已刪除)
-7. 配置目錄:
-   ✓ 保留 (或 ✗ 已刪除)
-```
-
----
-
-## 手動檢查命令
-
-```bash
-# 1. 檢查進程
-ps aux | grep gitea | grep -v grep
-
-# 2. 檢查 Port
-lsof -i :3000
-
-# 3. 測試連線
-curl http://localhost:3000/
-
-# 4. 查看版本
-gitea --version
-
-# 5. 驗證配置
-gitea doctor --config /Users/accusys/momentry/etc/gitea/app.ini
-
-# 6. 查看日誌
-tail -20 /Users/accusys/momentry/log/gitea.log
-```
-
----
-
-## 連線資訊
-
-| 項目 | 值 |
-|------|-----|
-| URL | http://localhost:3000 |
-| Domain | gitea.momentry.ddns.net |
-| SSH Port | 2222 |
-| Database | PostgreSQL (gitea) |
-
----
-
-## 環境變數
-
-在 `.env` 中:
-
-```env
-GITEA_URL=http://localhost:3000
-GITEA_ROOT=/Users/accusys/momentry/var/gitea/data/gitea-repositories
-```
-
----
-
-## 故障排除
-
-### Gitea 無法啟動
-
-```bash
-# 檢查日誌
-tail -f /Users/accusys/momentry/log/gitea.log
-
-# 檢查配置語法
-gitea doctor --config /Users/accusys/momentry/etc/gitea/app.ini
-
-# 檢查目錄權限
-ls -la /Users/accusys/momentry/var/gitea/
-
-# 重新設定權限
-chown -R $(whoami):staff /Users/accusys/momentry/var/gitea
-```
-
-### Port 被佔用
-
-```bash
-# 檢查哪個程序佔用 port 3000
-lsof -i :3000
-
-# 終止佔用程序
-kill <PID>
-```
-
-### 需要重新載入 plist
-
-```bash
-# 卸載舊服務 (如果存在)
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.gitea.plist 2>/dev/null
-
-# 載入新服務
-sudo launchctl load /Library/LaunchDaemons/com.momentry.gitea.plist
-```
-
----
-
-## 檔案位置
-
-| 類型 | 路徑 | 說明 |
-|------|------|------|
-| 安裝 | `/opt/homebrew/opt/gitea/` | Gitea 安裝目錄 |
-| 執行檔 | `/opt/homebrew/opt/gitea/bin/gitea` | Gitea 執行檔 |
-| 數據目錄 | `/Users/accusys/momentry/var/gitea/data/` | 數據儲存 |
-| 配置 | `/Users/accusys/momentry/etc/gitea/app.ini` | 設定檔 |
-| 日誌 | `/Users/accusys/momentry/log/gitea.log` | 執行日誌 |
-| 錯誤日誌 | `/Users/accusys/momentry/log/gitea.error.log` | 錯誤日誌 |
-| plist | `/Library/LaunchDaemons/com.momentry.gitea.plist` | 開機啟動 |
-| 備份 | `/Users/accusys/momentry/var/gitea_backup/app.ini` | 配置備份 |
-
----
-
-## 資料庫資訊
-
-Gitea 使用 PostgreSQL 作為資料庫:
-
-| 項目 | 值 |
-|------|-----|
-| Database | gitea |
-| User | gitea |
-| Host | 127.0.0.1:5432 |
-| Password | gitea_pass |
-
----
-
-## 常用指令
-
-```bash
-# 啟動 Gitea
-gitea web --config /Users/accusys/momentry/etc/gitea/app.ini
-
-# 驗證配置
-gitea doctor --config /Users/accusys/momentry/etc/gitea/app.ini
-
-# 查看版本
-gitea --version
-
-# 備份數據
-gitea dump --config /Users/accusys/momentry/etc/gitea/app.ini --zipfile /Users/accusys/momentry/var/gitea_backup.zip
-```
-
----
-
-## 版本資訊
-
-- 版本: 1.25.3
-- HTTP Port: 3000
-- SSH Port: 2222
-- 數據目錄: /Users/accusys/momentry/var/gitea/
-- 配置: /Users/accusys/momentry/etc/gitea/app.ini
-- 日誌目錄: /Users/accusys/momentry/log/

docs/INSTALL_GITEA_MCP.md

@@ -1,393 +0,0 @@
-# Gitea MCP Server 安裝指南 (本地部署)
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | OpenCode |
-| 建立時間 | 2026-03-24 |
-| 文件版本 | V1.0 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.0 | 2026-03-24 | 創建文件 | OpenCode | OpenCode / big-pickle |
-
----
-
-## 概述
-
-本文檔說明如何在 macOS 上安裝 Gitea MCP Server，配置為透過 OpenCode MCP 整合存取 Gitea API。
-
-Gitea MCP Server 是一個 MCP (Model Context Protocol) 伺服器，提供對 Gitea API 的完整存取能力，包括 repos、issues、pull requests、workflows 等資源管理。
-
----
-
-## 當前狀態
-
-| 項目 | 狀態 |
-|------|------|
-| Gitea MCP Server | ✅ 已安裝 |
-| 安裝方式 | Homebrew (`gitea-mcp-server`) |
-| Plist | /Library/LaunchDaemons/com.momentry.gitea-mcp-server.plist |
-| 執行身份 | accusys |
-| 監聽端口 | 8787 |
-| Gitea 主機 | http://localhost:3000 |
-| Launchd 狀態 | ✅ 已註冊 |
-| RunAtLoad | ✅ 已設定 |
-| KeepAlive | ✅ 已設定 |
-
----
-
-## 前置條件
-
-- Gitea 服務已運行（端口 3000）
-- Homebrew 已安裝
-- 管理員權限
-
----
-
-## 安裝步驟
-
-### Step 1: 安裝 Gitea MCP Server
-
-```bash
-brew install gitea-mcp-server
-```
-
-**驗證**:
-
-```bash
-which gitea-mcp-server
-# /opt/homebrew/bin/gitea-mcp-server
-
-/opt/homebrew/bin/gitea-mcp-server --help
-```
-
----
-
-### Step 2: 創建日誌目錄
-
-```bash
-mkdir -p /Users/accusys/momentry/log
-
-touch /Users/accusys/momentry/log/gitea-mcp-server.log
-touch /Users/accusys/momentry/log/gitea-mcp-server.error.log
-```
-
----
-
-### Step 3: 獲取 Gitea API Token
-
-#### 步驟 3.1: 登入 Gitea
-
-1. 開啟瀏覽器，訪問 http://localhost:3000
-2. 使用管理員帳號登入
-
-#### 步驟 3.2: 生成 Personal Access Token
-
-1. 點擊右上角頭像 → **Settings**
-2. 左側選單選擇 **Applications**
-3. 在 **Access Tokens** 區塊：
-   - **Token Name**: `opencode-mcp`
-   - **Expiration**: 選擇過期時間（如 365 days）
-   - **Scopes**: 勾選需要的權限
-     - `repo` - 倉庫操作
-     - `read:user` - 讀取用戶資訊
-     - `read:org` - 讀取組織資訊
-4. 點擊 **Generate Token**
-5. **立即複製** 生成的 Token
-
-#### 步驟 3.3: 驗證 Token
-
-```bash
-curl -H "Authorization: token <YOUR_TOKEN>" http://localhost:3000/api/v1/user
-```
-
----
-
-### Step 4: 創建 Plist 檔案
-
-```bash
-sudo tee /Library/LaunchDaemons/com.momentry.gitea-mcp-server.plist << 'EOF'
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-<dict>
-    <key>Label</key>
-    <string>com.momentry.gitea-mcp-server</string>
-    <key>UserName</key>
-    <string>accusys</string>
-    <key>ProgramArguments</key>
-    <array>
-        <string>/opt/homebrew/bin/gitea-mcp-server</string>
-        <string>-transport</string>
-        <string>http</string>
-        <string>-port</string>
-        <string>8787</string>
-        <string>-host</string>
-        <string>http://localhost:3000</string>
-        <string>-token</string>
-        <string><GITEA_TOKEN></string>
-    </array>
-    <key>RunAtLoad</key>
-    <true/>
-    <key>KeepAlive</key>
-    <true/>
-    <key>StandardOutPath</key>
-    <string>/Users/accusys/momentry/log/gitea-mcp-server.log</string>
-    <key>StandardErrorPath</key>
-    <string>/Users/accusys/momentry/log/gitea-mcp-server.error.log</string>
-</dict>
-</plist>
-EOF
-```
-
-**注意**: 將 `<GITEA_TOKEN>` 替換為實際的 Token 值。
-
----
-
-### Step 5: 設定權限
-
-```bash
-sudo chown root:wheel /Library/LaunchDaemons/com.momentry.gitea-mcp-server.plist
-sudo chmod 644 /Library/LaunchDaemons/com.momentry.gitea-mcp-server.plist
-```
-
----
-
-### Step 6: 載入服務
-
-```bash
-sudo launchctl bootstrap system /Library/LaunchDaemons/com.momentry.gitea-mcp-server.plist
-```
-
----
-
-### Step 7: 驗證服務
-
-```bash
-# 檢查服務狀態
-sudo launchctl list | grep gitea-mcp-server
-
-# 檢查進程
-ps aux | grep gitea-mcp-server | grep -v grep
-
-# 測試端點
-curl -s http://localhost:8787/
-```
-
----
-
-### Step 8: 整合 OpenCode MCP
-
-#### 步驟 8.1: 更新 OpenCode 配置
-
-編輯 `~/.config/opencode/opencode.json`：
-
-```json
-{
-  "$schema": "https://opencode.ai/config.json",
-  "mcp": {
-    "gitea": {
-      "type": "local",
-      "enabled": true,
-      "command": [
-        "/opt/homebrew/bin/gitea-mcp-server",
-        "-token", "<GITEA_TOKEN>",
-        "-host", "http://localhost:3000"
-      ]
-    },
-    "n8n": {
-      "type": "local",
-      "enabled": true,
-      "command": ["/opt/homebrew/bin/mcp-n8n"],
-      "environment": {
-        "N8N_BASE_URL": "http://localhost:5678",
-        "N8N_API_KEY": "<N8N_API_KEY>"
-      }
-    }
-  }
-}
-```
-
-#### 步驟 8.2: 重啟 OpenCode
-
-```bash
-# 停止現有 OpenCode
-pkill -f opencode
-
-# 重新啟動
-opencode
-```
-
-#### 步驟 8.3: 驗證 MCP 連接
-
-在 OpenCode 中執行：
-
-```
-/mcps
-```
-
-確認 gitea 顯示為 `connected`。
-
----
-
-## Plist 參數說明
-
-| 參數 | 說明 | 值 |
-|------|------|-----|
-| `-transport` | 傳輸類型 | `http` |
-| `-port` | HTTP 監聽端口 | `8787` |
-| `-host` | Gitea 主機 URL | `http://localhost:3000` |
-| `-token` | Gitea API Token | 見 Step 3 |
-
----
-
-## 管理指令
-
-### 啟動服務
-
-```bash
-sudo launchctl bootstrap system /Library/LaunchDaemons/com.momentry.gitea-mcp-server.plist
-```
-
----
-
-### 停止服務
-
-```bash
-sudo launchctl bootout system/com.momentry.gitea-mcp-server
-```
-
----
-
-### 重啟服務
-
-```bash
-sudo launchctl bootout system/com.momentry.gitea-mcp-server
-sudo launchctl bootstrap system /Library/LaunchDaemons/com.momentry.gitea-mcp-server.plist
-```
-
----
-
-### 查看日誌
-
-```bash
-# 即時查看日誌
-tail -f /Users/accusys/momentry/log/gitea-mcp-server.log
-
-# 錯誤日誌
-tail -f /Users/accusys/momentry/log/gitea-mcp-server.error.log
-```
-
----
-
-## 卸載步驟
-
-### Step 1: 停止服務
-
-```bash
-sudo launchctl bootout system/com.momentry.gitea-mcp-server
-```
-
----
-
-### Step 2: 移除 Plist
-
-```bash
-sudo rm /Library/LaunchDaemons/com.momentry.gitea-mcp-server.plist
-```
-
----
-
-### Step 3: 從 OpenCode 配置移除
-
-編輯 `~/.config/opencode/opencode.json`，移除 `mcp.gitea` 區塊。
-
----
-
-## 故障排除
-
-### 服務無法啟動
-
-1. 檢查 Token 是否正確
-2. 檢查 Gitea 是否運行：`curl -s http://localhost:3000/`
-3. 檢查日誌：`/Users/accusys/momentry/log/gitea-mcp-server.error.log`
-
----
-
-### Token 無效
-
-1. 確認 Token 未過期
-2. 確認 Token 有足夠的權限
-3. 重新生成 Token
-
----
-
-### 端口被佔用
-
-```bash
-# 檢查端口占用
-lsof -i :8787
-
-# 修改 plist 中的端口後重新載入
-```
-
----
-
-### OpenCode MCP 未顯示
-
-1. 確認 OpenCode 已重啟
-2. 檢查 `~/.config/opencode/opencode.json` 格式正確
-3. 確認 gitea-mcp-server 程序正在運行
-
----
-
-## 檔案位置
-
-| 類型 | 路徑 | 說明 |
-|------|------|------|
-| Plist | /Library/LaunchDaemons/com.momentry.gitea-mcp-server.plist | Launchd 服務配置 |
-| 日誌 | /Users/accusys/momentry/log/gitea-mcp-server.log | 標準輸出日誌 |
-| 錯誤日誌 | /Users/accusys/momentry/log/gitea-mcp-server.error.log | 錯誤日誌 |
-| OpenCode 配置 | ~/.config/opencode/opencode.json | MCP 設定檔 |
-| Gitea | http://localhost:3000 | Gitea Web UI |
-
----
-
-## 常用指令
-
-```bash
-# 驗證服務狀態
-sudo launchctl list | grep gitea-mcp-server
-
-# 查看服務 PID
-ps aux | grep gitea-mcp-server | grep -v grep
-
-# 測試端點
-curl -s http://localhost:8787/
-
-# 驗證 Gitea 連接
-curl -H "Authorization: token <TOKEN>" http://localhost:3000/api/v1/user
-
-# 查看即時日誌
-tail -f /Users/accusys/momentry/log/gitea-mcp-server.log
-```
-
----
-
-## 版本資訊
-
-- 版本: 1.0
-- 安裝日期: 2026-03-24
-- 文件更新: 2026-03-24
-
----
-
-## 相關文件
-
-- [OpenCode MCP 整合](./N8N_MCP_SETUP.md) - n8n MCP 設定說明
-- [服務總覽](./SERVICES.md) - 所有服務狀態總覽
-- [待解決問題](./PENDING_ISSUES.md) - MCP 安裝狀態追蹤

docs/INSTALL_MARIADB.md

@@ -1,396 +0,0 @@
-# MariaDB 安裝指南 (本地部署)
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | Warren |
-| 建立時間 | 2026-03-16 |
-| 文件版本 | V1.0 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.0 | 2026-03-16 | 創建文件 | Warren | OpenCode / MiniMax M2.5 |
-
----
-
-## 概述
-
-本文檔說明如何在 macOS 上安裝 MariaDB，配置為本地部署，支援遠端訪問。
-
----
-
-## 當前狀態
-
-| 項目 | 狀態 |
-|------|------|
-| MariaDB | ✅ 已安裝 v12.1.2 |
-| 數據目錄 | /Users/accusys/momentry/var/mariadb/ |
-| 日誌目錄 | /Users/accusys/momentry/log/ |
-| Plist | /Library/LaunchDaemons/com.momentry.mariadb.plist |
-
----
-
-## 安裝步驟
-
-### Step 1: 安裝 MariaDB (使用 brew)
-
-```bash
-# 安裝 MariaDB
-brew install mariadb
-```
-
-**驗證**:
-```bash
-mariadb --version
-# mariadb from 12.1.2-MariaDB
-```
-
----
-
-### Step 2: 建立目錄結構
-
-```bash
-# 建立數據目錄
-mkdir -p /Users/accusys/momentry/var/mariadb
-
-# 建立配置目錄
-mkdir -p /Users/accusys/momentry/etc/mariadb
-
-# 建立日誌目錄
-mkdir -p /Users/accusys/momentry/log
-
-# 建立日誌文件
-touch /Users/accusys/momentry/log/mariadb.log
-touch /Users/accusys/momentry/log/mariadb.error.log
-
-# 設定權限
-chown -R accusys:staff /Users/accusys/momentry/var/mariadb
-chown -R accusys:staff /Users/accusys/momentry/etc/mariadb
-chown -R accusys:staff /Users/accusys/momentry/log
-```
-
-**注意**: 如果需要從舊數據遷移，需要先初始化新目錄:
-```bash
-# 初始化新數據目錄
-mysql_install_db --datadir=/Users/accusys/momentry/var/mariadb
-```
-
----
-
-### Step 3: 使用 plist 開機自動啟動
-
-```bash
-# 複製 plist 到 LaunchDaemons 目錄
-sudo cp /Users/accusys/momentry_core_0.1/momentry_runtime/plist/com.momentry.mariadb.plist /Library/LaunchDaemons/
-
-# 載入並啟動
-sudo launchctl load /Library/LaunchDaemons/com.momentry.mariadb.plist
-```
-
----
-
-## 監控配置
-
-### 添加到監控配置
-
-在 `monitor/config/monitor_config.yaml` 中添加：
-
-```yaml
-database:
-  mariadb:
-    enabled: true
-    host: "localhost"
-    port: 3306
-    user: "root"
-```
-
----
-
-## 卸載步驟
-
-### 重要: 路徑說明
-
-| 路徑 | 類型 | 說明 |
-|------|------|------|
-| `/Users/accusys/momentry/var/mariadb/` | 數據 | **不要刪除** - 數據目錄 |
-| `/Users/accusys/momentry/etc/mariadb/` | 配置 | **不要刪除** - 配置目錄 |
-| `/Users/accusys/momentry/log/` | 日誌 | **不要刪除** - 日誌目錄 |
-| `/opt/homebrew/opt/mariadb/` | 安裝 | **刪除** - MariaDB 安裝目錄 |
-
-### Step 1: 停止 MariaDB
-
-```bash
-# 找到 MariaDB 進程
-ps aux | grep mariadb | grep -v grep
-
-# 停止 MariaDB
-mysqladmin -u root -p shutdown
-# 或
-pkill mariadbd
-
-# 確認停止
-ps aux | grep mariadb | grep -v grep || echo "MariaDB 已停止"
-```
-
----
-
-### Step 2: 卸載 MariaDB
-
-```bash
-# 卸載 MariaDB
-brew uninstall mariadb
-
-# 移除 plist
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.mariadb.plist
-sudo rm /Library/LaunchDaemons/com.momentry.mariadb.plist
-```
-
----
-
-### Step 3: 刪除專屬檔案
-
-```bash
-# 刪除數據目錄 (可選)
-rm -rf /Users/accusys/momentry/var/mariadb
-
-# 刪除日誌 (可選)
-rm -f /Users/accusys/momentry/log/mariadb.log
-rm -f /Users/accusys/momentry/log/mariadb.error.log
-```
-
-**注意: 不要刪除以下共用目錄**:
-```bash
-# 這些是共用的，不要刪除!
-# /Users/accusys/momentry/var
-# /Users/accusys/momentry/log
-```
-
----
-
-### Step 4: 卸載後檢查清單
-
-```bash
-echo "=== MariaDB 卸載後檢查 ==="
-
-# 1. 檢查 MariaDB 進程
-echo "1. MariaDB 進程:"
-ps aux | grep mariadb | grep -v grep && echo "   ✗ 仍在運行" || echo "   ✓ 已停止"
-
-# 2. Port 3306
-echo "2. Port 3306:"
-lsof -i :3306 > /dev/null 2>&1 && echo "   ✗ 仍被佔用" || echo "   ✓ 已釋放"
-
-# 3. mariadb 命令
-echo "3. mariadb 命令:"
-which mariadb > /dev/null 2>&1 && echo "   ✗ 仍存在" || echo "   ✓ 已移除"
-
-# 4. brew 安裝
-echo "4. brew 安裝:"
-brew list mariadb > /dev/null 2>&1 && echo "   ✗ 仍存在" || echo "   ✓ 已移除"
-
-# 5. launchctl 服務
-echo "5. launchctl 服務:"
-sudo launchctl list | grep mariadb > /dev/null 2>&1 && echo "   ✗ 仍存在" || echo "   ✓ 已移除"
-
-# 6. 數據目錄 (可選刪除)
-echo "6. 數據目錄:"
-[ -d "/Users/accusys/momentry/var/mariadb" ] && echo "   ✓ 保留" || echo "   ✗ 已刪除"
-
-# 7. 日誌目錄 (可選刪除)
-echo "7. 日誌目錄:"
-[ -d "/Users/accusys/momentry/log" ] && echo "   ✓ 保留" || echo "   ✗ 已刪除"
-```
-
-**預期結果**:
-```
-=== MariaDB 卸載後檢查 ===
-1. MariaDB 進程:
-   ✓ 已停止
-2. Port 3306:
-   ✓ 已釋放
-3. mariadb 命令:
-   ✓ 已移除
-4. brew 安裝:
-   ✓ 已移除
-5. launchctl 服務:
-   ✓ 已移除
-6. 數據目錄:
-   ✓ 保留 (或 ✗ 已刪除)
-7. 日誌目錄:
-   ✓ 保留 (或 ✗ 已刪除)
-```
-
----
-
-## 手動檢查命令
-
-```bash
-# 1. 檢查進程
-ps aux | grep mariadb | grep -v grep
-
-# 2. 檢查 Port
-lsof -i :3306
-
-# 3. 測試連線
-mariadb -u root -e "SELECT 1;"
-
-# 4. 查看所有數據庫
-mariadb -u root -e "SHOW DATABASES;"
-
-# 5. 查看用戶
-mariadb -u root -e "SELECT User, Host FROM mysql.user;"
-
-# 6. 查看表
-mariadb -u root -e "USE mysql; SHOW TABLES;"
-
-# 7. 查看日誌
-tail -20 /Users/accusys/momentry/log/mariadb.log
-```
-
----
-
-## 連線資訊
-
-| 項目 | 值 |
-|------|-----|
-| Host | localhost |
-| Port | 3306 |
-| User | root |
-
----
-
-## 環境變數
-
-在 `.env` 中:
-
-```env
-MARIADB_URL=mariadb://root@localhost:3306
-```
-
----
-
-## 遠端訪問
-
-- MariaDB 綁定到所有網路介面 (0.0.0.0)
-- 本地網路其他機器可透過 IP 訪問
-- 請設定用戶權限限制訪問
-
----
-
-## 故障排除
-
-### MariaDB 無法啟動
-
-```bash
-# 檢查日誌
-tail -f /Users/accusys/momentry/log/mariadb.log
-
-# 檢查目錄權限
-ls -la /Users/accusys/momentry/var/mariadb/
-
-# 重新設定權限
-chown -R $(whoami):staff /Users/accusys/momentry/var/mariadb
-```
-
-### Port 被佔用
-
-```bash
-# 檢查哪個程序佔用 port 3306
-lsof -i :3306
-
-# 終止佔用程序
-kill <PID>
-```
-
-### 需要重新載入 plist
-
-```bash
-# 卸載舊服務 (如果存在)
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.mariadb.plist 2>/dev/null
-
-# 載入新服務
-sudo launchctl load /Library/LaunchDaemons/com.momentry.mariadb.plist
-```
-
----
-
-## 檔案位置
-
-| 類型 | 路徑 | 說明 |
-|------|------|------|
-| 安裝 | `/opt/homebrew/opt/mariadb/` | MariaDB 安裝目錄 |
-| 執行檔 | `/opt/homebrew/opt/mariadb/bin/mariadbd` | MariaDB 執行檔 |
-| 數據目錄 | `/Users/accusys/momentry/var/mariadb/` | 數據儲存 |
-| 日誌 | `/Users/accusys/momentry/log/mariadb.log` | 執行日誌 |
-| 錯誤日誌 | `/Users/accusys/momentry/log/mariadb.error.log` | 錯誤日誌 |
-| plist | `/Library/LaunchDaemons/com.momentry.mariadb.plist` | 開機啟動 |
-| 備份 | `/Users/accusys/momentry/var/mariadb_backup/` | 數據備份 |
-
----
-
-## 備份與恢復
-
-### 備份用戶配置
-
-已創建專用備份用戶：
-- 用戶名：`momentry_backup`
-- 密碼：`momentry_backup_pwd_2026`
-- 權限：SELECT, LOCK TABLES, SHOW VIEW, EVENT, TRIGGER
-
-### 備份 (mysqldump)
-
-```bash
-# 備份所有數據庫
-TIMESTAMP=$(date +%Y%m%d_%H%M%S)
-mysqldump -u momentry_backup -pmomentry_backup_pwd_2026 --all-databases | gzip > \
-    /Users/accusys/momentry/backup/daily/mariadb/mariadb_db_all_${TIMESTAMP}.sql.gz
-
-# 備份指定數據庫 (WordPress)
-mysqldump -u momentry_backup -pmomentry_backup_pwd_2026 wordpress | gzip > \
-    /Users/accusys/momentry/backup/daily/mariadb/mariadb_db_wordpress_${TIMESTAMP}.sql.gz
-
-# 驗證
-sha256sum /Users/accusys/momentry/backup/daily/mariadb/mariadb_db_*.sql.gz > \
-    /Users/accusys/momentry/backup/daily/mariadb/mariadb_db_${TIMESTAMP}.sha256
-```
-
-### 恢復 (mysql)
-
-```bash
-# 恢復所有數據庫
-gunzip < /Users/accusys/momentry/backup/daily/mariadb/mariadb_db_all_20260316_101802.sql.gz | \
-    mysql -u momentry_backup -pmomentry_backup_pwd_2026
-
-# 恢復指定數據庫
-gunzip < /Users/accusys/momentry/backup/daily/mariadb/mariadb_db_wordpress_20260316_101802.sql.gz | \
-    mysql -u momentry_backup -pmomentry_backup_pwd_2026 wordpress
-```
-
-### 數據目錄複製 (完整遷移) - 離線
-
-```bash
-# 1. 停止 MariaDB
-mysqladmin -u momentry_backup -pmomentry_backup_pwd_2026 shutdown
-
-# 2. 複製數據目錄
-cp -r /opt/homebrew/var/mysql/* /Users/accusys/momentry/var/mariadb/
-
-# 3. 設定權限
-chown -R $(whoami):staff /Users/accusys/momentry/var/mariadb
-
-# 4. 啟動 MariaDB
-sudo launchctl load /Library/LaunchDaemons/com.momentry.mariadb.plist
-```
-
----
-
-## 版本資訊
-
-- 版本: 12.1.2
-- Port: 3306
-- User: root
-- 數據目錄: /Users/accusys/momentry/var/mariadb/
-- 日誌目錄: /Users/accusys/momentry/log/

docs/INSTALL_MOMENTRY_API.md

@@ -1,464 +0,0 @@
-# Momentry Core API 安裝指南 (本地部署)
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | OpenCode |
-| 建立時間 | 2026-03-23 |
-| 文件版本 | V1.0 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.0 | 2026-03-23 | 創建文件 | OpenCode | - |
-
----
-
-## 概述
-
-本文檔說明如何在 macOS 上安裝 Momentry Core API 服務，配置為本地部署，並設定開機自動啟動。
-
-Momentry Core API 是一個 Rust 編寫的數位資產管理 API 服務，提供：
-- 影片搜尋 API (`/api/v1/search`)
-- n8n 整合 API (`/api/v1/n8n/search`)
-- 健康檢查端點 (`/health`)
-- 影片註冊與處理功能
-
----
-
-## 當前狀態
-
-| 項目 | 狀態 |
-|------|------|
-| Momentry Core API | ✅ 已安裝 v0.1.0 |
-| Binary | `/Users/accusys/momentry_core_0.1/target/release/momentry` |
-| Port | 3002 |
-| 反向代理 | Caddy (`api.momentry.ddns.net`) |
-| 數據庫 | PostgreSQL (momentry) |
-| 向量庫 | Qdrant |
-| Cache | Redis |
-| launchd plist | ✅ 已建立 (/Library/LaunchDaemons/com.momentry.api.plist) |
-
----
-
-## 系統需求
-
-### 必要服務
-
-| 服務 | 版本 | 用途 |
-|------|------|------|
-| PostgreSQL | 16+ | 主數據庫 |
-| Redis | 1.0+ | 快取與佇列 |
-| Qdrant | 1.7+ | 向量搜尋 |
-| Ollama | 最新 | LLM 與 Embedding |
-
-### Rust 環境
-
-```bash
-# 檢查 Rust 版本
-rustc --version
-cargo --version
-
-# 如需安裝 Rust
-curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
-```
-
----
-
-## 安裝步驟
-
-### Step 1: 編譯 Momentry Core
-
-```bash
-# 進入專案目錄
-cd /Users/accusys/momentry_core_0.1
-
-# 編譯 release 版本
-cargo build --release
-
-# 驗證編譯結果
-ls -la target/release/momentry
-```
-
----
-
-### Step 2: 設定環境變數
-
-建立環境變數檔案：
-
-```bash
-# 建立執行目錄
-mkdir -p /Users/accusys/momentry_core_0.1/momentry_runtime/env
-
-# 建立環境變數檔案
-cat > /Users/accusys/momentry_core_0.1/momentry_runtime/env/momentry.env << 'EOF'
-# Database Configuration
-DATABASE_URL=postgres://accusys@localhost:5432/momentry
-
-# Redis Configuration
-REDIS_URL=redis://:accusys@localhost:6379
-REDIS_PASSWORD=accusys
-
-# API Server
-API_HOST=127.0.0.1
-API_PORT=3002
-
-# Ollama (LLM)
-OLLAMA_HOST=http://localhost:11434
-
-# Qdrant (Vector Database)
-QDRANT_URL=http://localhost:6333
-QDRANT_COLLECTION=momentry_chunks
-EOF
-```
-
----
-
-### Step 3: 手動啟動服務
-
-```bash
-# 啟動 API 服務
-cd /Users/accusys/momentry_core_0.1
-./target/release/momentry server --port 3002
-
-# 驗證服務
-curl http://localhost:3002/health
-# {"status":"ok","version":"0.1.0","uptime_ms":1234}
-```
-
----
-
-### Step 4: 設定 Caddy 反向代理
-
-在 `/Users/accusys/momentry/etc/Caddyfile` 中新增：
-
-```caddy
-# Momentry Core API
-api.momentry.ddns.net {
-    reverse_proxy localhost:3002
-    import common_log momentry_api_access
-}
-```
-
-重新載入 Caddy：
-
-```bash
-# 重新載入配置
-caddy reload --config /Users/accusys/momentry/etc/Caddyfile
-
-# 驗證
-curl -sk https://api.momentry.ddns.net/health
-```
-
----
-
-### Step 5: 建立 launchd plist (開機自動啟動)
-
-建立 plist 檔案：
-
-```bash
-sudo tee /Library/LaunchDaemons/com.momentry.api.plist << 'EOF'
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
-<plist version="1.0">
-<dict>
-    <key>Label</key>
-    <string>com.momentry.api</string>
-    
-    <key>UserName</key>
-    <string>accusys</string>
-    
-    <key>GroupName</key>
-    <string>staff</string>
-    
-    <key>WorkingDirectory</key>
-    <string>/Users/accusys/momentry_core_0.1</string>
-    
-    <key>ProgramArguments</key>
-    <array>
-        <string>/Users/accusys/momentry_core_0.1/target/release/momentry</string>
-        <string>server</string>
-        <string>--port</string>
-        <string>3002</string>
-    </array>
-    
-    <key>EnvironmentVariables</key>
-    <dict>
-        <key>PATH</key>
-        <string>/opt/homebrew/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin</string>
-        
-        <key>DATABASE_URL</key>
-        <string>postgres://accusys@localhost:5432/momentry</string>
-        
-        <key>REDIS_URL</key>
-        <string>redis://:accusys@localhost:6379</string>
-        
-        <key>REDIS_PASSWORD</key>
-        <string>accusys</string>
-        
-        <key>OLLAMA_HOST</key>
-        <string>http://localhost:11434</string>
-        
-        <key>QDRANT_URL</key>
-        <string>http://localhost:6333</string>
-    </dict>
-    
-    <key>RunAtLoad</key>
-    <true/>
-    
-    <key>KeepAlive</key>
-    <true/>
-    
-    <key>StandardOutPath</key>
-    <string>/Users/accusys/momentry/log/momentry_api.log</string>
-    
-    <key>StandardErrorPath</key>
-    <string>/Users/accusys/momentry/log/momentry_api.error.log</string>
-</dict>
-</plist>
-EOF
-```
-
-建立日誌檔案：
-
-```bash
-# 建立日誌目錄（如不存在）
-mkdir -p /Users/accusys/momentry/log
-
-# 建立日誌檔案
-touch /Users/accusys/momentry/log/momentry_api.log
-touch /Users/accusys/momentry/log/momentry_api.error.log
-
-# 設定權限
-chown accusys:staff /Users/accusys/momentry/log/momentry_api.log
-chown accusys:staff /Users/accusys/momentry/log/momentry_api.error.log
-```
-
-載入服務：
-
-```bash
-# 載入服務
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-
-# 驗證服務
-launchctl list | grep momentry.api
-
-# 檢查服務狀態
-curl http://localhost:3002/health
-```
-
----
-
-## 卸載步驟
-
-### Step 1: 停止並移除服務
-
-```bash
-# 停止服務
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.api.plist
-
-# 移除 plist
-sudo rm /Library/LaunchDaemons/com.momentry.api.plist
-```
-
-### Step 2: 移除 Caddy 配置
-
-從 `/Users/accusys/momentry/etc/Caddyfile` 中移除 `api.momentry.ddns.net` 區塊。
-
-```bash
-# 重新載入 Caddy
-caddy reload --config /Users/accusys/momentry/etc/Caddyfile
-```
-
----
-
-## 故障排除
-
-### API 返回 502 Bad Gateway
-
-**問題**: `api.momentry.ddns.net` 返回 502 錯誤
-
-**原因**: Momentry Core API 服務未啟動
-
-**解決方案**:
-
-```bash
-# 檢查服務狀態
-launchctl list | grep momentry.api
-
-# 如服務未啟動，手動啟動
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-
-# 或手動啟動測試
-cd /Users/accusys/momentry_core_0.1
-./target/release/momentry server --port 3002
-```
-
----
-
-### API 返回 404 Not Found
-
-**問題**: 端點返回 404
-
-**原因**: Binary 過舊，缺少該端點
-
-**解決方案**:
-
-```bash
-# 重新編譯
-cd /Users/accusys/momentry_core_0.1
-cargo build --release
-
-# 重啟服務
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.api.plist
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-```
-
----
-
-### 服務無法啟動
-
-**問題**: launchd 無法啟動服務
-
-**檢查步驟**:
-
-```bash
-# 檢查日誌
-tail -50 /Users/accusys/momentry/log/momentry_api.error.log
-
-# 檢查 plist 語法
-plutil -lint /Library/LaunchDaemons/com.momentry.api.plist
-
-# 檢查權限
-ls -la /Users/accusys/momentry_core_0.1/target/release/momentry
-
-# 手動測試
-/Users/accusys/momentry_core_0.1/target/release/momentry server --port 3002
-```
-
----
-
-## 檔案位置
-
-| 類型 | 路徑 | 說明 |
-|------|------|------|
-| Binary | `/Users/accusys/momentry_core_0.1/target/release/momentry` | 執行檔 |
-| 環境變數 | `/Users/accusys/momentry_core_0.1/momentry_runtime/env/momentry.env` | 環境設定 |
-| launchd plist | `/Library/LaunchDaemons/com.momentry.api.plist` | 開機啟動配置 |
-| 日誌 | `/Users/accusys/momentry/log/momentry_api.log` | 標準輸出 |
-| 錯誤日誌 | `/Users/accusys/momentry/log/momentry_api.error.log` | 錯誤輸出 |
-| Caddy 配置 | `/Users/accusys/momentry/etc/Caddyfile` | 反向代理配置 |
-
----
-
-## 常用指令
-
-### 服務管理
-
-```bash
-# 啟動服務
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-
-# 停止服務
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.api.plist
-
-# 重啟服務
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.api.plist
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-
-# 檢查服務狀態
-launchctl list | grep momentry.api
-```
-
-### 健康檢查
-
-```bash
-# 本地健康檢查
-curl http://localhost:3002/health
-
-# 詳細健康檢查
-curl http://localhost:3002/health/detailed
-
-# 外部健康檢查
-curl -sk https://api.momentry.ddns.net/health
-```
-
-### API 測試
-
-```bash
-# 搜尋 API
-curl -X POST http://localhost:3002/api/v1/search \
-  -H "Content-Type: application/json" \
-  -d '{"query":"test"}'
-
-# n8n 搜尋 API
-curl -X POST http://localhost:3002/api/v1/n8n/search \
-  -H "Content-Type: application/json" \
-  -d '{"query":"test"}'
-
-# 列出影片
-curl http://localhost:3002/api/v1/videos
-```
-
-### 日誌查看
-
-```bash
-# 查看最近的日誌
-tail -50 /Users/accusys/momentry/log/momentry_api.log
-
-# 即時監控日誌
-tail -f /Users/accusys/momentry/log/momentry_api.log
-
-# 查看錯誤日誌
-tail -50 /Users/accusys/momentry/log/momentry_api.error.log
-```
-
-### 重新編譯
-
-```bash
-# 編譯 release 版本
-cd /Users/accusys/momentry_core_0.1
-cargo build --release
-
-# 編譯後重啟服務
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.api.plist
-sudo launchctl load /Library/LaunchDaemons/com.momentry.api.plist
-```
-
----
-
-## API 端點
-
-| 端點 | 方法 | 說明 |
-|------|------|------|
-| `/health` | GET | 健康檢查 |
-| `/health/detailed` | GET | 詳細健康檢查 |
-| `/api/v1/register` | POST | 註冊影片 |
-| `/api/v1/search` | POST | 搜尋影片 |
-| `/api/v1/n8n/search` | POST | n8n 格式搜尋 |
-| `/api/v1/search/hybrid` | POST | 混合搜尋 |
-| `/api/v1/lookup` | GET | 查詢 UUID |
-| `/api/v1/videos` | GET | 列出所有影片 |
-| `/api/v1/progress/:uuid` | GET | 查詢處理進度 |
-
----
-
-## 版本資訊
-
-- 版本: 0.1.0
-- 安裝日期: 2026-03-23
-- Rust 版本: 1.xx
-- 文件更新: 2026-03-23
-
----
-
-## 相關文件
-
-- `docs/SERVICES.md` - 服務總覽
-- `docs/API_REFERENCE.md` - API 參考
-- `docs/INSTALL_POSTGRESQL.md` - PostgreSQL 安裝
-- `docs/INSTALL_REDIS.md` - Redis 安裝
-- `docs/INSTALL_QDRANT.md` - Qdrant 安裝
-- `docs/PENDING_ISSUES.md` - 待解決問題

docs/INSTALL_MONGODB.md

@@ -1,392 +0,0 @@
-# MongoDB 安裝指南 (本地部署)
-
-| 項目 | 內容 |
-|------|------|
-| 建立者 | Warren |
-| 建立時間 | 2026-03-15 |
-| 文件版本 | V1.0 |
-
----
-
-## 版本歷史
-
-| 版本 | 日期 | 目的 | 操作人 | 工具/模型 |
-|------|------|------|--------|-----------|
-| V1.0 | 2026-03-15 | 創建文件 | Warren | OpenCode / MiniMax M2.5 |
-
----
-
-## 概述
-
-本文檔說明如何在 macOS 上安裝 MongoDB Community Edition，配置為本地部署，支援遠端訪問。
-
----
-
-## 當前狀態
-
-| 項目 | 狀態 |
-|------|------|
-| MongoDB (mongodb-community) | ✅ 已安裝 v8.2.6 |
-| 數據目錄 | /opt/homebrew/var/mongodb |
-| 日誌目錄 | /Users/accusys/momentry/log |
-
----
-
-## 安裝步驟
-
-### Step 1: 安裝 MongoDB Community
-
-```bash
-# 安裝 MongoDB Community
-brew tap mongodb/brew
-brew install mongodb-community
-```
-
-**驗證**:
-```bash
-mongod --version
-# db version v8.x.x
-mongosh --version
-# 2.7.x
-sudo launchctl list | grep mongo
-# 確認 MongoDB 服務已載入
-```
-
----
-
-### Step 2: 數據目錄 (已存在 - 共用)
-
-數據目錄使用 homebrew 預設位置:
-- 數據目錄: `/opt/homebrew/var/mongodb`
-- 配置目錄: `/opt/homebrew/etc/mongod.conf`
-- 日誌目錄: `/Users/accusys/momentry/log`
-
-**建立配置目錄和日誌文件**:
-```bash
-# 建立配置目錄
-mkdir -p /Users/accusys/momentry/etc/mongodb
-
-# 建立日誌文件
-touch /Users/accusys/momentry/log/mongodb.log
-touch /Users/accusys/momentry/log/mongodb.error.log
-
-# 確認權限:
-ls -la /Users/accusys/momentry/
-chown -R accusys:staff /Users/accusys/momentry
-```
-
----
-
-### Step 3: 使用 LaunchAgent 啟動 (開機自動)
-
-```bash
-# 複製 plist 到 LaunchDaemons 目錄 (開機自動需要 root 權限)
-sudo cp /Users/accusys/momentry_core_0.1/momentry_runtime/plist/com.momentry.mongodb.plist \
-    /Library/LaunchDaemons/
-
-# 載入並啟動
-sudo launchctl load /Library/LaunchDaemons/com.momentry.mongodb.plist
-
-# 驗證
-launchctl list | grep mongodb
-pgrep -a mongod
-```
-
----
-
-### Step 4: 建立資料庫用戶
-
-```bash
-mongosh --eval '
-use admin
-db.createUser({
-  user: "accusys",
-  pwd: "Test3200Test3200",
-  roles: [
-    { role: "readWrite", db: "momentry" },
-    { role: "dbAdmin", db: "momentry" }
-  ]
-})
-
----
-
-### Step 4: 驗證安裝
-
-```bash
-# 檢查進程
-pgrep -a mongod
-
-# 檢查端口
-lsof -i :27017
-
-# 測試連線
-mongosh --eval "db.adminCommand('ping')"
-
-# 檢查 LaunchAgent
-launchctl list | grep mongodb
-```
-
----
-
-## 監控配置
-
-### 添加到監控配置
-
-在 `monitor/config/monitor_config.yaml` 中添加：
-
-```yaml
-database:
-  mongodb:
-    enabled: true
-    host: "localhost"
-    port: 27017
-    user: "accusys"
-    database: "momentry"
-```
-
----
-
-## 卸載步驟
-
-### 重要: 路徑說明
-
-| 路徑 | 類型 | 說明 |
-|------|------|------|
-| `/Users/accusys/momentry/` | 共用 | **不要刪除** - 多個系統共用 |
-| `/Users/accusys/momentry/var` | 共用 | **不要刪除** - 數據目錄 |
-| `/Users/accusys/momentry/etc/mongodb/` | 配置 | **不要刪除** - MongoDB 配置 |
-| `/Users/accusys/momentry/log` | 共用 | **不要刪除** - 日誌目錄 |
-| `~/.mongosh_history` | 專屬 | 可選刪除 - Mongo Shell 歷史 |
-
-### Step 1: 停止 MongoDB
-
-```bash
-# 找到 MongoDB 進程
-ps aux | grep mongod | grep -v grep
-
-# 停止 MongoDB
-pkill mongod
-# 或
-kill <PID>
-
-# 確認停止
-ps aux | grep mongod | grep -v grep || echo "MongoDB 已停止"
-```
-
----
-
-### Step 2: 卸載 MongoDB
-
-```bash
-# 完全卸載 (保留數據)
-brew uninstall mongodb-community
-```
-
----
-
-### Step 3: 刪除專屬檔案
-
-```bash
-# 刪除 MongoDB 專屬配置 (如果有)
-rm -f ~/.mongosh_history
-
-# 刪除臨時文件 (可選)
-rm -rf /tmp/mongodb-*
-```
-
-**注意: 不要刪除以下共用目錄**:
-```bash
-# 這些是共用的，不要刪除!
-# /Users/accusys/momentry/var
-# /Users/accusys/momentry/log
-```
-
----
-
-### Step 4: 卸載後檢查清單
-
-```bash
-echo "=== MongoDB 卸載後檢查 ==="
-
-# 1. 檢查 MongoDB 進程
-echo "1. MongoDB 進程:"
-ps aux | grep mongod | grep -v grep && echo "   ✗ 仍在運行" || echo "   ✓ 已停止"
-
-# 2. 檢查 Port 27017
-echo "2. Port 27017:"
-lsof -i :27017 > /dev/null 2>&1 && echo "   ✗ 仍被佔用" || echo "   ✓ 已釋放"
-
-# 3. 檢查 mongod 命令
-echo "3. mongod 命令:"
-which mongod > /dev/null 2>&1 && echo "   ✗ 仍存在" || echo "   ✓ 已移除"
-
-# 4. 檢查 launchctl
-echo "4. launchctl 服務:"
-sudo launchctl list | grep mongo > /dev/null 2>&1 && echo "   ✗ 仍存在" || echo "   ✓ 已移除"
-
-# 5. 檢查 Homebrew
-echo "5. Homebrew 移除:"
-brew list mongo > /dev/null 2>&1 && echo "   ✗ 仍存在" || echo "   ✓ 已移除"
-
-# 6. 檢查數據目錄 (應該存在)
-echo "6. 數據目錄:"
-[ -d "/Users/accusys/momentry/var" ] && echo "   ✓ 保留" || echo "   ✗ 已刪除"
-
-# 7. 檢查日誌目錄 (應該存在)
-echo "7. 日誌目錄:"
-[ -d "/Users/accusys/momentry/log" ] && echo "   ✓ 保留" || echo "   ✗ 已刪除"
-```
-
-**預期結果**:
-```
-=== MongoDB 卸載後檢查 ===
-1. MongoDB 進程:
-   ✓ 已停止
-2. Port 27017:
-   ✓ 已釋放
-3. mongod 命令:
-   ✓ 已移除
-4. launchctl 服務:
-   ✓ 已移除
-5. Homebrew 移除:
-   ✓ 已移除
-6. 數據目錄:
-   ✓ 保留
-7. 日誌目錄:
-   ✓ 保留
-```
-
----
-
-## 手動檢查命令
-
-```bash
-# 1. 檢查 Process 是否運行
-ps aux | grep mongo | grep -v grep
-
-# 2. 檢查 Port 27017
-lsof -i :27017
-
-# 3. 測試連線 (無認證)
-mongosh --eval "db.adminCommand('ping')"
-
-# 4. 測試連線 (有認證)
-mongosh "mongodb://accusys:Test3200Test3200@localhost:27017/admin" --eval "db.adminCommand('ping')"
-
-# 5. 查看所有資料庫
-mongosh "mongodb://accusys:Test3200Test3200@localhost:27017/admin" --quiet --eval "db.adminCommand({listDatabases:1}).databases"
-
-# 6. 查看用戶
-mongosh "mongodb://accusys:Test3200Test3200@localhost:27017/admin" --quiet --eval "db.getUser('accusys')"
-
-# 7. 查看日誌
-tail -20 /Users/accusys/momentry/log/mongodb.log
-tail -20 /Users/accusys/momentry/log/mongodb.error.log
-```
-
----
-
-## 管理命令
-
-### 啟動/停止
-
-```bash
-# 使用 LaunchAgent (開機自動 - LaunchDaemons 目錄)
-sudo launchctl load /Library/LaunchDaemons/com.momentry.mongodb.plist    # 啟動
-sudo launchctl unload /Library/LaunchDaemons/com.momentry.mongodb.plist  # 停止
-
-# 手動啟動 (僅除錯用)
-nohup /opt/homebrew/bin/mongod \
-    --dbpath /Users/accusys/momentry/var \
-    --logpath /Users/accusys/momentry/log/mongodb.log \
-    --port 27017 \
-    --bind_ip 0.0.0.0 \
-    > /Users/accusys/momentry/log/mongodb.log 2>&1 &
-
-# 強制停止
-pkill mongod
-```
-
----
-
-## 連線字串
-
-```bash
-# 無認證 (本地)
-mongodb://localhost:27017
-
-# 有認證 (admin 資料庫)
-mongodb://accusys:Test3200Test3200@localhost:27017/admin
-
-# 有認證 (momentry 資料庫)
-mongodb://accusys:Test3200Test3200@localhost:27017/momentry?authSource=admin
-```
-
----
-
-## 環境變數
-
-在 `.env` 中:
-
-```env
-MONGODB_URL=mongodb://accusys:Test3200Test3200@localhost:27017/admin
-MONGODB_DATABASE=momentry
-```
-
----
-
-## 遠端訪問
-
-- MongoDB 綁定到 `0.0.0.0` (所有網路介面)
-- 本地網路其他機器可透過 IP 訪問
-- 建議設定防火牆規則限制訪問 IP
-
----
-
-## 故障排除
-
-### MongoDB 無法啟動
-
-```bash
-# 檢查日誌
-tail -f /Users/accusys/momentry/log/mongodb.log
-
-# 檢查目錄權限
-ls -la /Users/accusys/momentry/
-
-# 重新設定權限
-chown -R $(whoami):staff /Users/accusys/momentry
-```
-
-### Port 被佔用
-
-```bash
-# 檢查哪個程序佔用 port 27017
-lsof -i :27017
-
-# 終止佔用程序
-kill <PID>
-```
-
----
-
-## 檔案位置
-
-| 類型 | 路徑 | 說明 |
-|------|------|------|
-| 數據目錄 | `/Users/accusys/momentry/var` | **共用 - 不要刪除** |
-| 日誌目錄 | `/Users/accusys/momentry/log` | **共用 - 不要刪除** |
-| mongod | `/opt/homebrew/bin/mongod` | 安裝後存在 |
-| Homebrew | `/opt/homebrew/Cellar/mongodb-community/` | 卸載時刪除 |
-| Homebrew | `/opt/homebrew/Cellar/mongodb-database-tools/` | 卸載時刪除 |
-| Homebrew | `/opt/homebrew/Cellar/mongosh/` | 卸載時刪除 |
-| 配置檔 | `/opt/homebrew/etc/mongod.conf` | 卸載時刪除 |
-
----
-
-## 版本資訊
-
-- 用戶: accusys
-- 密碼: Test3200Test3200
-- 數據目錄: /Users/accusys/momentry/var (共用 - 不要刪除!)
-- 日誌目錄: /Users/accusys/momentry/log (共用 - 不要刪除!)