#!/opt/homebrew/bin/python3.11
"""
Confirm Identity - Confirm suggested identity binding for a trace

Flow:
1. Mark TKG face_track node as 'confirmed'
2. Update Qdrant _faces: all points with trace_id → identity_uuid
3. Update PG face_detections: identity_id
4. Add trace centroid to _seeds (source='propagation')
5. Auto-trigger Round 2 matching (propagation)

Usage:
    python confirm_identity.py --file-uuid <uuid> --trace-id <id> --identity-id <id> --identity-uuid <uuid> --name "Tom Hanks"
    python confirm_identity.py --file-uuid <uuid> --json suggestions.json  # Batch confirm from file

Output:
    JSON with confirm status and Round 2 propagation results
"""

import os
import sys
import json
import argparse
import subprocess
from typing import Dict, Optional

sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)), "utils"))

from tkg_helper import (
    mark_face_track_confirmed,
    get_suggested_face_tracks,
    get_face_track_nodes,
)
from qdrant_faces import (
    update_identity_in_faces,
    get_trace_centroid,
    push_seed_embedding,
    get_trace_representatives,
)


def confirm_single_trace(
    file_uuid: str,
    trace_id: int,
    identity_id: int,
    identity_uuid: str,
    name: str,
    propagate: bool = True,
) -> Dict:
    """Confirm identity binding for a single trace
    
    Args:
        file_uuid: Video file UUID
        trace_id: Face trace ID
        identity_id: PG identity.id
        identity_uuid: Identity UUID
        name: Identity name
        propagate: Auto-trigger Round 2 matching
    
    Returns:
        Result dict with status and propagation info
    """
    result = {
        "file_uuid": file_uuid,
        "trace_id": trace_id,
        "identity_id": identity_id,
        "identity_uuid": identity_uuid,
        "name": name,
        "status": "success",
        "steps": {},
    }
    
    # Step 1: Update TKG node
    tkg_updated = mark_face_track_confirmed(file_uuid, trace_id, identity_id, identity_uuid, name)
    result["steps"]["tkg_updated"] = tkg_updated
    
    # Step 2: Update Qdrant _faces
    try:
        qdrant_updated = update_identity_in_faces(file_uuid, trace_id, identity_id, identity_uuid)
        result["steps"]["qdrant_updated"] = qdrant_updated
    except Exception as e:
        print(f"[CONFIRM] Qdrant update failed: {e}")
        result["steps"]["qdrant_updated"] = 0
        result["steps"]["qdrant_error"] = str(e)
    
    # Step 3: Update PG face_detections
    import psycopg2
    DB_URL = os.environ.get("DATABASE_URL", "postgresql://accusys@localhost:5432/momentry")
    SCHEMA = os.environ.get("DATABASE_SCHEMA", "dev")
    
    if SCHEMA == "public":
        fd_table = "face_detections"
    else:
        fd_table = f"{SCHEMA}.face_detections"
    
    try:
        conn = psycopg2.connect(DB_URL)
        cur = conn.cursor()
        cur.execute(
            f"UPDATE {fd_table} SET identity_id = %s WHERE file_uuid = %s AND trace_id = %s",
            (identity_id, file_uuid, trace_id),
        )
        conn.commit()
        pg_updated = cur.rowcount
        cur.close()
        conn.close()
        result["steps"]["pg_updated"] = pg_updated
        print(f"[CONFIRM] PG updated: {pg_updated} face_detections")
    except Exception as e:
        print(f"[CONFIRM] PG update failed: {e}")
        result["steps"]["pg_updated"] = 0
        result["steps"]["pg_error"] = str(e)
    
    # Step 4: Add to _seeds as propagation seed
    try:
        centroid = get_trace_centroid(file_uuid, trace_id)
        if centroid and not all(v == 0.0 for v in centroid):
            push_seed_embedding(
                identity_id=identity_id,
                identity_uuid=identity_uuid,
                name=name,
                embedding=centroid,
                source="propagation",
                file_uuid=file_uuid,
                trace_id=trace_id,
            )
            result["steps"]["seed_added"] = True
        else:
            result["steps"]["seed_added"] = False
            result["steps"]["seed_error"] = "No valid centroid"
    except Exception as e:
        print(f"[CONFIRM] Seed addition failed: {e}")
        result["steps"]["seed_added"] = False
        result["steps"]["seed_error"] = str(e)
    
    # Step 5: Auto-trigger Round 2 matching
    if propagate:
        try:
            propagation_result = run_round_2_propagation(file_uuid)
            result["propagation"] = propagation_result
        except Exception as e:
            print(f"[CONFIRM] Propagation failed: {e}")
            result["propagation"] = {"error": str(e)}
    
    return result


def run_round_2_propagation(file_uuid: str) -> Dict:
    """Run Round 2 matching after confirmation
    
    Args:
        file_uuid: Video file UUID
    
    Returns:
        Round 2 matching results
    """
    # Get confirmed traces (identity_map)
    face_track_nodes = get_face_track_nodes(file_uuid)
    
    confirmed_traces = []
    identity_map = {}
    
    for node in face_track_nodes:
        props = node.get("properties", {})
        status = props.get("status")
        
        if status == "confirmed":
            trace_id_str = node.get("external_id", "").replace("face_track_", "")
            if trace_id_str:
                trace_id = int(trace_id_str)
                confirmed_traces.append(trace_id)
                identity_map[trace_id] = {
                    "identity_id": props.get("identity_id"),
                    "identity_uuid": props.get("identity_uuid"),
                    "name": props.get("identity_name"),
                }
    
    if not confirmed_traces:
        return {"matched": 0, "message": "No confirmed traces for propagation"}
    
    # Run identity_matcher.py Round 2
    confirmed_str = ",".join(str(t) for t in confirmed_traces)
    
    import tempfile
    identity_map_file = tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False)
    json.dump(identity_map, identity_map_file)
    identity_map_file.close()
    
    cmd = [
        sys.executable,
        os.path.join(os.path.dirname(os.path.abspath(__file__)), "identity_matcher.py"),
        "--file-uuid", file_uuid,
        "--round", "2",
        "--confirmed-traces", confirmed_str,
        "--identity-map", identity_map_file.name,
    ]
    
    try:
        output = subprocess.check_output(cmd, stderr=subprocess.STDOUT, text=True)
        propagation_result = json.loads(output.split("\n")[-1])
        
        # Clean up temp file
        os.unlink(identity_map_file.name)
        
        return propagation_result
    except subprocess.CalledProcessError as e:
        print(f"[PROPAGATE] Command failed: {e.output}")
        os.unlink(identity_map_file.name)
        return {"error": str(e), "matched": 0}
    except Exception as e:
        os.unlink(identity_map_file.name)
        return {"error": str(e), "matched": 0}


def batch_confirm_from_json(file_uuid: str, suggestions_file: str, propagate: bool = True) -> Dict:
    """Batch confirm suggestions from JSON file
    
    Args:
        file_uuid: Video file UUID
        suggestions_file: JSON file with suggestions
        propagate: Auto-trigger Round 2 after all confirmations
    
    Returns:
        Batch confirm results
    """
    with open(suggestions_file) as f:
        data = json.load(f)
    
    suggestions = data.get("suggestions", {})
    
    results = []
    confirmed_traces = []
    
    for trace_id_str, suggestion in suggestions.items():
        trace_id = int(trace_id_str)
        result = confirm_single_trace(
            file_uuid,
            trace_id,
            suggestion.get("identity_id"),
            suggestion.get("identity_uuid"),
            suggestion.get("name"),
            propagate=False,  # Don't propagate each one
        )
        results.append(result)
        
        if result.get("status") == "success":
            confirmed_traces.append(trace_id)
    
    # Final propagation after all confirmations
    if propagate and confirmed_traces:
        propagation_result = run_round_2_propagation(file_uuid)
        batch_result = {
            "file_uuid": file_uuid,
            "confirmed_count": len(confirmed_traces),
            "total_suggestions": len(suggestions),
            "results": results,
            "propagation": propagation_result,
        }
    else:
        batch_result = {
            "file_uuid": file_uuid,
            "confirmed_count": len(confirmed_traces),
            "total_suggestions": len(suggestions),
            "results": results,
        }
    
    return batch_result


def main():
    parser = argparse.ArgumentParser(description="Confirm Identity Binding")
    parser.add_argument("--file-uuid", required=True, help="Video file UUID")
    parser.add_argument("--trace-id", type=int, help="Trace ID to confirm")
    parser.add_argument("--identity-id", type=int, help="Identity ID")
    parser.add_argument("--identity-uuid", help="Identity UUID")
    parser.add_argument("--name", help="Identity name")
    parser.add_argument("--json", help="JSON file with suggestions (batch confirm)")
    parser.add_argument("--no-propagate", action="store_true", help="Skip auto propagation")
    parser.add_argument("--output", help="Output JSON file path")
    args = parser.parse_args()
    
    propagate = not args.no_propagate
    
    if args.json:
        result = batch_confirm_from_json(args.file_uuid, args.json, propagate)
    elif args.trace_id is not None and args.identity_id is not None and args.identity_uuid and args.name:
        result = confirm_single_trace(
            args.file_uuid,
            args.trace_id,
            args.identity_id,
            args.identity_uuid,
            args.name,
            propagate,
        )
    else:
        print("Error: Need either --json or --trace-id/--identity-id/--identity-uuid/--name")
        sys.exit(1)
    
    output_json = json.dumps(result, indent=2, ensure_ascii=False)
    
    if args.output:
        with open(args.output, "w") as f:
            f.write(output_json)
        print(f"[CONFIRM] Output saved to {args.output}")
    else:
        print(output_json)


if __name__ == "__main__":
    main()