feat: update core API, database layer, and worker modules

- Remove unused imports (n8n_search, universal_search, Client, Arc, etc.)
- Update API endpoints for identity, face recognition, search
- Fix postgres_db.rs search_videos parent_uuid column
- Add snapshot API and identity agent API
- Clean up backup files (.bak, .bak2)

src/api/agent_api.rs

@@ -1,19 +1,11 @@
-use axum::{
-    extract::State,
-    http::StatusCode,
-    response::Json,
-    routing::post,
-    Router,
-};
+use axum::{extract::State, http::StatusCode, response::Json, routing::post, Router};
 use reqwest::Client;
 use serde::{Deserialize, Serialize};
-use tracing;
 
 use crate::api::server::AppState;
 
 pub fn agent_routes() -> Router<AppState> {
-    Router::new()
-        .route("/api/v1/agents/translate", post(translate_text))
+    Router::new().route("/api/v1/agents/translate", post(translate_text))
 }
 
 #[derive(Debug, Deserialize)]
@@ -35,7 +27,6 @@ async fn translate_text(
     State(_state): State<AppState>,
     Json(req): Json<TranslationRequest>,
 ) -> Result<Json<TranslationResponse>, (StatusCode, String)> {
-    
     let system_prompt = "You are a professional translator for Momentry Core, a digital asset management system specializing in video analysis.
     
     ## Guidelines:
@@ -53,7 +44,7 @@ async fn translate_text(
     // Call Ollama API
     let client = Client::new();
     let ollama_url = "http://localhost:11434/api/generate";
-    
+
     // Using qwen3:latest which is available locally
     let model = "qwen3:latest".to_string();
 
@@ -64,16 +55,27 @@ async fn translate_text(
         "stream": false
     });
 
-    let response = client.post(ollama_url)
+    let response = client
+        .post(ollama_url)
         .json(&body)
         .send()
         .await
-        .map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, format!("Failed to call LLM: {}", e)))?;
+        .map_err(|e| {
+            (
+                StatusCode::INTERNAL_SERVER_ERROR,
+                format!("Failed to call LLM: {}", e),
+            )
+        })?;
 
-    let ollama_resp: serde_json::Value = response.json().await
-        .map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, format!("Failed to parse LLM response: {}", e)))?;
+    let ollama_resp: serde_json::Value = response.json().await.map_err(|e| {
+        (
+            StatusCode::INTERNAL_SERVER_ERROR,
+            format!("Failed to parse LLM response: {}", e),
+        )
+    })?;
 
-    let translated_text = ollama_resp.get("response")
+    let translated_text = ollama_resp
+        .get("response")
         .and_then(|v| v.as_str())
         .unwrap_or("Translation failed")
         .to_string();