app.py

import os
import torch
from flask import Flask, request, jsonify, render_template, Response
from flask_cors import CORS
from werkzeug.utils import secure_filename
from ultralytics import YOLO
from dotenv import load_dotenv
import time
import threading
import json
import traceback

# --- NEW: Import database driver ---
import psycopg2
import psycopg2.extras


# Import the new processing logic
from processing import process_images

# Load environment variables from .env file
load_dotenv()

app = Flask(__name__)

# Enable CORS for all routes
CORS(app)

# --- Session Management ---
SESSIONS = {}
SESSIONS_LOCK = threading.Lock()

# --- Configuration ---
UPLOAD_FOLDER = 'static/uploads'
MODELS_FOLDER = 'models'
ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg'}

# --- Load model names from .env file ---
PARTS_MODEL_NAME = os.getenv('PARTS_MODEL_NAME', 'best_parts_EP336.pt')
DAMAGE_MODEL_NAME = os.getenv('DAMAGE_MODEL_NAME', 'best_new_EP382.pt')

# --- NEW: Load Supabase credentials from .env file ---
SUPABASE_HOST = os.getenv('SUPABASE_HOST')
SUPABASE_PORT = os.getenv('SUPABASE_PORT')
SUPABASE_DB = os.getenv('SUPABASE_DB')
SUPABASE_USER = os.getenv('SUPABASE_USER')
SUPABASE_PASSWORD = os.getenv('SUPABASE_PASSWORD')

# --- NEW: Define valid table columns to prevent SQL injection ---
VALID_COLUMNS = [
    'alloys', 'dashboard', 'driver_front_side', 'driver_rear_side',
    'interior_front', 'passenger_front_side', 'passenger_rear_side',
    'service_history', 'tyres'
]


PARTS_MODEL_PATH = os.path.join(MODELS_FOLDER, PARTS_MODEL_NAME)
DAMAGE_MODEL_PATH = os.path.join(MODELS_FOLDER, DAMAGE_MODEL_NAME)

app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True)
os.makedirs(MODELS_FOLDER, exist_ok=True)
os.makedirs('templates', exist_ok=True)

# --- Determine Device ---
device = "cuda" if torch.cuda.is_available() else "cpu"
print(f"Using device: {device}")

# --- Load YOLO Models ---
parts_model, damage_model = None, None

# Load Parts Model
try:
    if not os.path.exists(PARTS_MODEL_PATH):
        print(f"Warning: Parts model file not found at {PARTS_MODEL_PATH}")
    else:
        parts_model = YOLO(PARTS_MODEL_PATH)
        parts_model.to(device)
        print(f"Successfully loaded parts model '{PARTS_MODEL_NAME}' on {device}.")
except Exception as e:
    print(f"Error loading Parts Model ({PARTS_MODEL_NAME}): {e}")

# Load Damage Model
try:
    if not os.path.exists(DAMAGE_MODEL_PATH):
        print(f"Warning: Damage model file not found at {DAMAGE_MODEL_PATH}")
    else:
        damage_model = YOLO(DAMAGE_MODEL_PATH)
        damage_model.to(device)
        print(f"Successfully loaded damage model '{DAMAGE_MODEL_NAME}' on {device}.")
except Exception as e:
    print(f"Error loading Damage Model ({DAMAGE_MODEL_NAME}): {e}")


# --- NEW: Database Update Logic ---
# --- CORRECTED: Database Update Logic ---
def update_database_for_session(session_key, results):
    """

    Connects to the Supabase database and updates the user_info table.



    Args:

        session_key (str): The session key to identify the row in user_info.

        results (list): A list of prediction dictionaries from the model.

    """
    conn = None
    try:
        # Establish connection
        conn = psycopg2.connect(
            host=SUPABASE_HOST,
            port=SUPABASE_PORT,
            dbname=SUPABASE_DB,
            user=SUPABASE_USER,
            password=SUPABASE_PASSWORD
        )
        # Use a dictionary cursor to access columns by name
        cur = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)

        # 1. Fetch the current state of the row using the correct column 'phone_number'
        # --- FIX APPLIED HERE ---
        cur.execute("SELECT * FROM user_info WHERE phone_number = %s", (session_key,))
        current_row = cur.fetchone()

        if not current_row:
            print(f"Error: No entry found in user_info for phone_number '{session_key}'")
            return

        updates_to_make = {}
        # 2. Determine what needs to be updated based on the results
        for res in results:
            part_class = res.get('part_prediction', {}).get('class')
            damage_status = res.get('damage_prediction', {}).get('class')

            if part_class not in VALID_COLUMNS:
                print(f"Warning: Skipping invalid part_class '{part_class}' from prediction.")
                continue

            current_status = current_row[part_class]

            if current_status == 'correct':
                continue
            if current_status is None or (current_status == 'incorrect' and damage_status == 'correct'):
                updates_to_make[part_class] = damage_status

        # 3. If there are updates, build and execute a single UPDATE statement
        if updates_to_make:
            set_clauses = ", ".join([f"{col} = %s" for col in updates_to_make.keys()])
            update_values = list(updates_to_make.values())
            update_values.append(session_key)

            # --- FIX APPLIED HERE ---
            update_query = f"UPDATE user_info SET {set_clauses} WHERE phone_number = %s"

            print(f"Executing DB Update for session '{session_key}': {updates_to_make}")
            cur.execute(update_query, tuple(update_values))

            conn.commit()
        else:
            print(f"No database updates required for session '{session_key}'.")

        cur.close()

    except (Exception, psycopg2.DatabaseError) as error:
        print(f"Database Error for session '{session_key}': {error}")
        traceback.print_exc()
    finally:
        if conn is not None:
            conn.close()


def allowed_file(filename):
    """Checks if a file's extension is in the ALLOWED_EXTENSIONS set."""
    return '.' in filename and \
           filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS

@app.route('/')
def home():
    """Serve the main HTML page."""
    return render_template('index.html')

@app.route('/predict', methods=['POST'])
def predict():
    """

    Endpoint to receive one or more images under a session key.

    The first request for a session waits 10 seconds to aggregate images

    from subsequent requests, then processes them all.

    Subsequent requests for an active session add their images and return a JSON status.

    """
    # 1. --- Get Session Key and Validate ---
    session_key = request.form.get('session_key')
    if not session_key:
        return jsonify({"error": "No session_key provided in the payload"}), 400

    # 2. --- File Validation ---
    if 'file' not in request.files:
        return jsonify({"error": "No file part in the request"}), 400

    files = request.files.getlist('file')
    if not files or all(f.filename == '' for f in files):
        return jsonify({"error": "No selected files"}), 400

    # 3. --- Session Handling ---
    is_first_request = False
    with SESSIONS_LOCK:
        if session_key not in SESSIONS:
            is_first_request = True
            SESSIONS[session_key] = {
                "files": [],
                "lock": threading.Lock(),
                "processed": False
            }

    session = SESSIONS[session_key]

    if session["processed"]:
        return jsonify({"status": "complete", "message": "This session has already been processed."})

    # 4. --- Save Files for Current Request ---
    saved_filepaths_this_request = []
    for file in files:
        if file and allowed_file(file.filename):
            unique_filename = f"{session_key}_{int(time.time()*1000)}_{secure_filename(file.filename)}"
            filepath = os.path.join(app.config['UPLOAD_FOLDER'], unique_filename)
            file.save(filepath)
            saved_filepaths_this_request.append(filepath)
        else:
            print(f"Skipped invalid file: {file.filename}")

    if not saved_filepaths_this_request:
        return jsonify({"error": "No valid files were uploaded. Allowed types: png, jpg, jpeg"}), 400

    with session["lock"]:
        if session["processed"]:
            for filepath in saved_filepaths_this_request:
                if os.path.exists(filepath):
                    os.remove(filepath)
            return jsonify({"status": "complete", "message": "This session has already been processed."})
        session["files"].extend(saved_filepaths_this_request)

    # 5. --- Response Logic ---
    if is_first_request:
        try:
            print(f"First request for session '{session_key}'. Waiting 10 seconds...")
            time.sleep(10)
            print(f"Session '{session_key}' wait time over. Processing...")

            with session["lock"]:
                all_filepaths = list(session["files"])

            # This is your existing function that returns the list of dictionaries
            results = process_images(parts_model, damage_model, all_filepaths)

            # --- *** NEW: DATABASE UPDATE STEP *** ---
            # After getting results, update the database
            if results:
                print(f"Processing database update for session: {session_key}")
                update_database_for_session(session_key, results)
            # --- *** END OF NEW STEP *** ---

            with session["lock"]:
                session["processed"] = True

            json_string = json.dumps(results)
            return Response(json_string, mimetype='application/json')

        except Exception as e:
            print(f"An error occurred during processing for session {session_key}: {e}")
            traceback.print_exc()
            return jsonify({"error": f"An error occurred during processing: {str(e)}"}), 500
        finally:
            if session_key in SESSIONS:
                with SESSIONS[session_key]["lock"]:
                        all_filepaths_to_delete = list(SESSIONS[session_key]["files"])

                for filepath in all_filepaths_to_delete:
                    if os.path.exists(filepath):
                        os.remove(filepath)

                with SESSIONS_LOCK:
                    del SESSIONS[session_key]
                print(f"Session '{session_key}' cleaned up.")
    else:
        print(f"Subsequent request for session '{session_key}'. Files added. Responding with JSON status.")
        return jsonify({"status": "aggregated", "message": "File has been added to the processing queue."})


if __name__ == '__main__':
    # Setting debug=False is recommended for production
    app.run(host='0.0.0.0', port=7860, debug=True)