# -*- coding: utf-8 -*-
"""
并行OCR识别 - 多进程加速
"""
import os
import sqlite3
import requests
import base64
from PIL import Image
import glob
import json
from multiprocessing import Pool, Manager
import time


def ocr_image(args):
    """OCR识别单张图片"""
    image_path, idx, total = args
    
    try:
        with open(image_path, 'rb') as f:
            image_base64 = base64.b64encode(f.read()).decode('utf-8')
        
        url = "http://localhost:11434/api/chat"
        payload = {
            "model": "glm-ocr",
            "messages": [{
                "role": "user",
                "content": """识别图片中的所有联系人名称。要求：
1. 只输出联系人名称，每行一个
2. 忽略分组标题（如星号、字母A-Z等）
3. 忽略数字统计
4. 不要添加任何其他内容""",
                "images": [image_base64]
            }],
            "stream": False
        }
        
        response = requests.post(url, json=payload, timeout=60)
        result = response.json().get('message', {}).get('content', '')
        
        contacts = []
        for line in result.strip().split('\n'):
            line = line.strip()
            if line and len(line) >= 2 and len(line) < 50:
                # 简单过滤
                if not any(x in line for x in ['公众号', '服务号', '企业微信', '联系人', '星标朋友', '新的朋友']):
                    contacts.append(line.strip('"\'').rstrip(',，。：:'))
        
        print(f"[{idx+1}/{total}] {os.path.basename(image_path)}: 发现 {len(contacts)} 个联系人")
        return contacts
    except Exception as e:
        print(f"[{idx+1}/{total}] {os.path.basename(image_path)}: 失败 - {e}")
        return []


def get_existing_contacts():
    """从数据库获取已存在的联系人"""
    conn = sqlite3.connect(r'D:\夏骥\微信研究\contacts.db')
    cursor = conn.cursor()
    cursor.execute('SELECT name FROM contacts')
    existing = set(row[0] for row in cursor.fetchall())
    conn.close()
    return existing


def add_new_contacts(new_contacts):
    """将新联系人添加到数据库"""
    if not new_contacts:
        return 0
    
    conn = sqlite3.connect(r'D:\夏骥\微信研究\contacts.db')
    cursor = conn.cursor()
    
    # 获取当前最大ID
    cursor.execute('SELECT MAX(id) FROM contacts')
    max_id = cursor.fetchone()[0] or 0
    
    added = 0
    for idx, name in enumerate(new_contacts, start=max_id + 1):
        cursor.execute('''
            INSERT INTO contacts (id, name, category, blessing, selected)
            VALUES (?, ?, ?, ?, ?)
        ''', (idx, name, '', '马年新春快乐！愿您在新的一年里，事业腾飞，马到成功！', False))
        added += 1
    
    conn.commit()
    conn.close()
    return added


def main():
    print("=" * 60)
    print("并行OCR识别")
    print("=" * 60)
    
    # 获取截图目录
    scroll_dir = r"D:\夏骥\微信研究\scroll_complete"
    screenshots = sorted(glob.glob(os.path.join(scroll_dir, "*.png")))
    
    if not screenshots:
        print("未找到截图文件！")
        return
    
    print(f"找到 {len(screenshots)} 张截图")
    
    # 获取已存在的联系人
    existing_contacts = get_existing_contacts()
    print(f"数据库中已有 {len(existing_contacts)} 个联系人")
    
    # 准备参数
    args_list = [(path, i, len(screenshots)) for i, path in enumerate(screenshots)]
    
    # 并行处理 - 使用4个进程
    print("\n开始并行OCR识别...")
    all_contacts = set()
    
    with Pool(processes=4) as pool:
        results = pool.map(ocr_image, args_list)
    
    # 收集结果
    for contacts in results:
        for name in contacts:
            if name and len(name) >= 2 and name not in existing_contacts:
                all_contacts.add(name)
    
    print(f"\n{'='*60}")
    print(f"OCR完成！")
    print(f"发现新联系人: {len(all_contacts)} 个")
    
    # 入库
    if all_contacts:
        added = add_new_contacts(sorted(all_contacts, key=lambda x: (not x[0].isalpha() if x else True, x.lower() if x and x[0].isalpha() else x)))
        print(f"成功入库: {added} 个")
    
    # 更新JSON文件
    conn = sqlite3.connect(r'D:\夏骥\微信研究\contacts.db')
    cursor = conn.cursor()
    cursor.execute('SELECT * FROM contacts ORDER BY id')
    all_db_contacts = []
    for row in cursor.fetchall():
        all_db_contacts.append({
            "id": row[0],
            "name": row[1],
            "category": row[2],
            "blessing": row[3],
            "selected": bool(row[4])
        })
    conn.close()
    
    json_file = r"D:\夏骥\微信研究\contacts_data.json"
    with open(json_file, 'w', encoding='utf-8') as f:
        json.dump(all_db_contacts, f, ensure_ascii=False, indent=2)
    
    print(f"JSON数据已更新: {json_file}")
    print(f"数据库总联系人: {len(all_db_contacts)} 个")


if __name__ == '__main__':
    main()