#!/usr/bin/env python3
"""One-time backfill: generate .profile.json for all registered files."""

import json
import os
import sys
import subprocess
from datetime import datetime, timezone

OUTPUT_DIR = os.environ.get("MOMENTRY_OUTPUT_DIR", "/Users/accusys/momentry/output")
DB_URL = os.environ.get("DATABASE_URL", "postgres://accusys@localhost:5432/momentry")
PSQL = "/opt/homebrew/Cellar/libpq/18.4/bin/psql"


def query_db(sql):
    result = subprocess.run(
        [PSQL, "-U", "accusys", "-d", "momentry", "-t", "-A", "-c", sql],
        capture_output=True, text=True
    )
    if result.returncode != 0:
        print(f"DB error: {result.stderr}", file=sys.stderr)
        return []
    lines = result.stdout.strip().split("\n")
    return [line for line in lines if line.strip()]


def extract_key_frame(video_path, duration, output_dir, file_uuid):
    """Extract a representative frame using ffmpeg, save as JPG."""
    seek_time = duration * 0.1 if duration > 0 else 1.0
    out_path = os.path.join(output_dir, f"{file_uuid}.key_frame.jpg")
    try:
        result = subprocess.run(
            [
                "ffmpeg", "-y", "-ss", f"{seek_time:.2f}",
                "-i", video_path,
                "-vframes", "1",
                "-vf", "scale=640:-1",
                "-q:v", "5",
                out_path
            ],
            capture_output=True, timeout=30
        )
        if result.returncode == 0 and os.path.exists(out_path):
            return f"{file_uuid}.key_frame.jpg"
    except Exception as e:
        print(f"  key_frame extraction failed: {e}", file=sys.stderr)
    return None


def main():
    print(f"Output dir: {OUTPUT_DIR}")
    print(f"Looking for files without .profile.json...")

    # Get all registered files
    rows = query_db(
        "SELECT file_uuid, COALESCE(file_name, ''), COALESCE(file_path, ''), "
        "COALESCE(file_type, 'unknown'), COALESCE(content_hash, ''), "
        "COALESCE(duration, 0), COALESCE(width, 0), COALESCE(height, 0), "
        "COALESCE(fps, 0), COALESCE(total_frames, 0) "
        "FROM videos ORDER BY created_at"
    )

    created = 0
    skipped = 0
    for row in rows:
        parts = row.split("|")
        if len(parts) < 10:
            continue
        file_uuid, file_name, file_path, file_type, content_hash, \
            duration, width, height, fps, total_frames = parts[:10]

        # Compute total_frames from duration * fps if DB value is 0
        db_total_frames = int(total_frames)
        duration_f = float(duration)
        fps_f = float(fps)
        if db_total_frames <= 0 and duration_f > 0 and fps_f > 0:
            computed_frames = int(duration_f * fps_f)
            db_total_frames = computed_frames
            query_db(
                f"UPDATE videos SET total_frames = {db_total_frames} WHERE file_uuid = '{file_uuid}'"
            )

        profile_path = os.path.join(OUTPUT_DIR, f"{file_uuid}.profile.json")
        if os.path.exists(profile_path):
            # Patch existing profiles with total_frames=0
            with open(profile_path) as pf:
                existing = json.load(pf)
            if existing.get("metadata", {}).get("total_frames") == 0 and duration_f > 0 and fps_f > 0:
                existing["metadata"]["total_frames"] = db_total_frames
                with open(profile_path, "w") as pf:
                    json.dump(existing, pf, indent=2, ensure_ascii=False)
                print(f"  [patched] {file_uuid}: total_frames 0 → {db_total_frames}")
            skipped += 1
            continue

        now = datetime.now(timezone.utc).isoformat()
        parent = os.path.dirname(file_path) if file_path else ""

        profile = {
            "version": "1.0",
            "file_uuid": file_uuid,
            "file_name": file_name,
            "file_type": file_type,
            "birth": {
                "mac_address": "",
                "birthday": now,
                "original_path": parent,
                "original_filename": file_name,
                "canonical_path": file_path,
                "content_hash": content_hash if content_hash else None
            },
            "current": {
                "path": file_path,
                "file_name": file_name,
                "file_type": file_type
            },
            "history": [{
                "action": "backfilled",
                "timestamp": now,
                "path": file_path,
                "file_name": file_name
            }],
            "metadata": {
                "duration": duration_f,
                "width": int(width),
                "height": int(height),
                "fps": fps_f,
                "total_frames": db_total_frames
            } if duration_f > 0 or int(width) > 0 else None,
            "key_frame": None  # will be filled below
        }

        # Extract key_frame for video files that exist on disk
        if file_type == "video" and file_path and os.path.exists(file_path):
            print(f"  Extracting key_frame for {file_name}...")
            kf = extract_key_frame(file_path, float(duration), OUTPUT_DIR, file_uuid)
            if kf:
                profile["key_frame"] = kf

        with open(profile_path, "w") as f:
            json.dump(profile, f, indent=2, ensure_ascii=False)
        created += 1
        print(f"  Created: {file_uuid}.profile.json ({file_name or 'ZOMBIE'})")

    print(f"\nDone: {created} created, {skipped} skipped (already exist)")


if __name__ == "__main__":
    main()