from flask import Flask, render_template, request, redirect, url_for, flash
from flask_socketio import SocketIO, emit
import sqlite3
import os
import eventlet
import face_recognition
import numpy as np

app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = './static/db_image'  # 设置文件上传路径
app.secret_key = 'TG1pSXF40uyHMu0OVrVt4ZsaLLqGekElefvewbI1hzD9UZLV71efR60trjAtsRXg'  # Set the secret key for session management

socketio = SocketIO(app, async_mode='eventlet')

def create_face_database(db_name="face_database.db"):
    """创建人脸数据库和匹配日志表"""
    conn = sqlite3.connect(db_name)
    c = conn.cursor()
    c.execute('''CREATE TABLE IF NOT EXISTS faces
                 (id INTEGER PRIMARY KEY AUTOINCREMENT,
                 name TEXT NOT NULL,
                 identity TEXT NOT NULL,
                 image_path TEXT NOT NULL,
                 encoding BLOB NOT NULL)''')

    c.execute('''CREATE TABLE IF NOT EXISTS match_logs
                 (id INTEGER PRIMARY KEY AUTOINCREMENT,
                 name TEXT NOT NULL,
                 identity TEXT NOT NULL,
                 image_path TEXT NOT NULL,
                 match_time TEXT NOT NULL)''')
    conn.commit()
    conn.close()

def add_face_to_database(name, identity, image_path, db_name="face_database.db"):
    """将人脸信息添加到数据库"""
    conn = sqlite3.connect(db_name)
    c = conn.cursor()

    # 将图片路径转换为相对路径
    relative_image_path = os.path.relpath(image_path, start='./static')

    image = face_recognition.load_image_file(image_path)
    face_encodings = face_recognition.face_encodings(image)

    if face_encodings:
        face_encoding = face_encodings[0]
        encoding_blob = np.array(face_encoding).tobytes()
        c.execute("INSERT INTO faces (name, identity, image_path, encoding) VALUES (?, ?, ?, ?)",
                  (name, identity, relative_image_path, encoding_blob))
        conn.commit()
    conn.close()

def get_match_logs(db_name="face_database.db"):
    conn = sqlite3.connect(db_name)
    c = conn.cursor()
    c.execute("SELECT name, identity, image_path, match_time FROM match_logs")
    logs = c.fetchall()
    conn.close()
    return logs

@app.route('/')
def index():
    logs = get_match_logs()
    return render_template('index.html', logs=logs)

@app.route('/info_person', methods=['GET', 'POST'])
def info_person():
    conn = sqlite3.connect('face_database.db')
    c = conn.cursor()

    if request.method == 'POST':
        if 'add' in request.form:
            name = request.form['name']
            identity = request.form['identity']
            image = request.files['image_path']

            if image:
                image_path = os.path.join(app.config['UPLOAD_FOLDER'], image.filename)
                image.save(image_path)

                try:
                    add_face_to_database(name, identity, image_path)
                    flash('Face added successfully!')
                except Exception as e:
                    flash(f'Error adding face: {e}')
                return redirect(url_for('info_person'))

        elif 'update' in request.form:
            id = request.form['id']
            name = request.form['name']
            identity = request.form['identity']
            image = request.files.get('image_path')

            if image:
                # Generate new image path
                new_image_path = os.path.join(app.config['UPLOAD_FOLDER'], image.filename)
                image.save(new_image_path)

                # Load the new image and generate new face encoding
                try:
                    loaded_image = face_recognition.load_image_file(new_image_path)
                    face_encodings = face_recognition.face_encodings(loaded_image)

                    if face_encodings:
                        encoding = np.array(face_encodings[0]).tobytes()
                        new_image_path = "db_image/" + image.filename  # Relative path for DB
                    else:
                        flash("No face detected in the uploaded image.")
                        return redirect(url_for('info_person'))
                except Exception as e:
                    flash(f'Error processing image: {e}')
                    return redirect(url_for('info_person'))

                # Update record in the database
                c.execute("UPDATE faces SET name=?, identity=?, image_path=?, encoding=? WHERE id=?",
                          (name, identity, new_image_path, encoding, id))
                flash('Face updated successfully!')

            else:
                # If no new image is uploaded, keep existing image path and encoding
                c.execute("UPDATE faces SET name=?, identity=? WHERE id=?",
                          (name, identity, id))
                flash('Information updated successfully!')

        elif 'delete' in request.form:
            id = request.form['id']
            c.execute("DELETE FROM faces WHERE id=?", (id,))
            flash('Face deleted successfully!')

        conn.commit()

    # Fetch all records to display
    c.execute("SELECT * FROM faces")
    persons = c.fetchall()
    conn.close()

    return render_template('info_person.html', persons=persons)



@socketio.on('connect')
def handle_connect():
    print('Client connected')
    emit('update', {'logs': get_match_logs()})

def send_updates():
    while True:
        # 模拟实时数据更新
        socketio.emit('update', {'logs': get_match_logs()}, broadcast=True)
        eventlet.sleep(5)  # 每 5 秒发送一次更新

if __name__ == '__main__':
    create_face_database()  # Ensure the database is created
    socketio.start_background_task(send_updates)
    socketio.run(app, debug=True)