2025-12-25 upload
This commit is contained in:
506
data_sync_daemon.py
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506
data_sync_daemon.py
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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数据同步守护进程
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功能:
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1. 24小时不间断运行
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2. 在每天午夜(00:00)自动执行数据抓取和同步
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3. 自动执行流程:
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- 从百家号API抓取最新数据
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- 生成CSV文件(包含从数据库查询的author_id)
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- 将CSV数据导入到数据库
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4. 支持手动触发刷新
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5. 详细的日志记录
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使用场景:
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- 24/7运行,每天凌晨自动更新数据
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- 无需人工干预,自动化数据同步
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"""
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import sys
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import os
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import time
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import schedule
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from datetime import datetime, timedelta
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from typing import Optional
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# 设置UTF-8编码
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if sys.platform == 'win32':
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import io
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if not isinstance(sys.stdout, io.TextIOWrapper) or sys.stdout.encoding != 'utf-8':
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
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if not isinstance(sys.stderr, io.TextIOWrapper) or sys.stderr.encoding != 'utf-8':
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sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8')
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from bjh_analytics import BaijiahaoAnalytics
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from export_to_csv import DataExporter
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from import_csv_to_database import CSVImporter
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from log_config import setup_logger
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class DataSyncDaemon:
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"""数据同步守护进程"""
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def __init__(self, use_proxy: bool = False, load_from_db: bool = True, days: int = 7, max_retries: int = 3):
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"""初始化守护进程
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Args:
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use_proxy: 是否使用代理
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load_from_db: 是否从数据库加载Cookie
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days: 抓取最近多少天的数据
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max_retries: 最大重试次数
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"""
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self.script_dir = os.path.dirname(os.path.abspath(__file__))
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self.use_proxy = use_proxy
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self.load_from_db = load_from_db
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self.days = days
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self.max_retries = max_retries
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# 初始化日志
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self.logger = setup_logger('data_sync_daemon', os.path.join(self.script_dir, 'logs', 'data_sync_daemon.log'))
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# 统计信息
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self.stats = {
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'total_runs': 0,
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'successful_runs': 0,
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'failed_runs': 0,
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'last_run_time': None,
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'last_success_time': None,
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'last_error': None
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}
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print("\n" + "="*70)
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print("数据同步守护进程")
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print("="*70)
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print(f" 使用代理: {'是' if use_proxy else '否'}")
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print(f" Cookie来源: {'数据库' if load_from_db else '本地文件'}")
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print(f" 抓取天数: {days}天")
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print(f" 错误重试: 最大{max_retries}次")
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print(f" 定时执行: 每天午夜00:00")
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print("="*70 + "\n")
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self.logger.info("="*70)
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self.logger.info("数据同步守护进程启动")
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self.logger.info(f"使用代理: {use_proxy}, Cookie来源: {'数据库' if load_from_db else '本地文件'}, 抓取天数: {days}, 重试: {max_retries}次")
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self.logger.info("="*70)
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def fetch_data(self) -> bool:
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"""步骤1:抓取数据"""
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print("\n" + "="*70)
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print("【步骤1/3】抓取数据")
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print("="*70)
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try:
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# 初始化分析器
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analytics = BaijiahaoAnalytics(use_proxy=self.use_proxy, load_from_db=self.load_from_db)
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if not analytics.account_cookies:
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print("[X] 未找到可用的账号Cookie,跳过本次同步")
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self.logger.error("未找到可用的账号Cookie")
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return False
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account_ids = list(analytics.account_cookies.keys())
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print(f"\n找到 {len(account_ids)} 个账号")
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self.logger.info(f"找到 {len(account_ids)} 个账号")
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# 抓取所有账号数据
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print("\n开始抓取数据...")
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print(f" 错误重试策略:遇到代理连接错误时自动重试,最大{self.max_retries}次\n")
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self.logger.info(f"开始抓取数据,错误重试: 最大{self.max_retries}次")
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success_count = 0
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failed_accounts = []
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partial_success_accounts = []
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results = []
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for i, account_id in enumerate(account_ids, 1):
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print(f"\n[{i}/{len(account_ids)}] 抓取账号: {account_id}")
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print("-"*70)
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# 重试机制
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retry_count = 0
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result = None
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last_error = None
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while retry_count <= self.max_retries:
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try:
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# 如果是重试,先等待一段时间
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if retry_count > 0:
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wait_time = retry_count * 2 # 递增等待时间:2秒、4秒、6秒
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print(f" [重试 {retry_count}/{self.max_retries}] 等待 {wait_time} 秒后重试...")
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self.logger.info(f"账号 {account_id} 第{retry_count}次重试,等待{wait_time}秒")
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time.sleep(wait_time)
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print(f" [重试 {retry_count}/{self.max_retries}] 开始重新抓取...")
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result = analytics.extract_integrated_data(account_id, days=self.days)
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if result:
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results.append(result)
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status = result.get('status', '')
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if status == 'success_all':
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success_count += 1
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print(f" [✓] 抓取成功")
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self.logger.info(f"账号 {account_id} 抓取成功 (完全成功)")
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break # 成功,跳出重试循环
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elif 'success' in status:
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# 部分成功
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partial_success_accounts.append(account_id)
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print(f" [!] 部分成功: {status}")
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self.logger.warning(f"账号 {account_id} 部分成功: {status}")
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break # 部分成功也跳出重试循环
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else:
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# 失败
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last_error = f"状态: {status}"
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if retry_count >= self.max_retries:
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failed_accounts.append(account_id)
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print(f" [X] 抓取失败: {status}")
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self.logger.error(f"账号 {account_id} 抓取失败: {status}")
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break
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else:
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retry_count += 1
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continue
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else:
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# 返回None表示完全失败
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last_error = "返回结果为空"
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if retry_count >= self.max_retries:
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failed_accounts.append(account_id)
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print(f" [X] 抓取失败: 无返回结果")
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self.logger.error(f"账号 {account_id} 抓取失败: 无返回结果")
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break
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else:
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retry_count += 1
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continue
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except Exception as e:
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last_error = str(e)
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error_type = type(e).__name__
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# 判断是否是代理相关错误
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is_proxy_error = any([
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'Connection' in error_type,
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'RemoteDisconnected' in error_type,
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'ProxyError' in error_type,
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'Timeout' in error_type,
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'ConnectionError' in str(e),
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'Connection aborted' in str(e),
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'Remote end closed' in str(e),
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])
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if is_proxy_error:
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print(f" [!] 代理连接错误: {error_type}")
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self.logger.warning(f"账号 {account_id} 代理连接错误: {error_type} - {last_error}")
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else:
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print(f" [!] 发生异常: {error_type} - {e}")
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self.logger.error(f"账号 {account_id} 异常: {error_type} - {e}", exc_info=True)
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if retry_count >= self.max_retries:
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failed_accounts.append(account_id)
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print(f" [X] 抓取失败(已达最大重试次数)")
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self.logger.error(f"账号 {account_id} 最终失败,已达最大重试次数")
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break
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else:
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retry_count += 1
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continue
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# 保存到文件
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if results:
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analytics.save_results(results)
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self.logger.info(f"数据已保存到 bjh_integrated_data.json,共 {len(results)} 个账号")
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print(f"\n数据抓取完成:")
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print(f" 完全成功: {success_count}/{len(account_ids)}")
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self.logger.info(f"数据抓取完成: 完全成功 {success_count}/{len(account_ids)}")
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if partial_success_accounts:
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print(f" 部分成功: {len(partial_success_accounts)} 个账号")
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print(f" 账号列表: {', '.join(partial_success_accounts)}")
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self.logger.info(f"部分成功: {len(partial_success_accounts)} 个账号 - {', '.join(partial_success_accounts)}")
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if failed_accounts:
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print(f" 完全失败: {len(failed_accounts)} 个账号")
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print(f" 账号列表: {', '.join(failed_accounts)}")
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self.logger.error(f"完全失败: {len(failed_accounts)} 个账号 - {', '.join(failed_accounts)}")
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# 只要有成功或部分成功的数据,就继续执行
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if results:
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return True
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else:
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print("\n[X] 没有成功抓取任何数据")
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self.logger.error("没有成功抓取任何数据")
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return False
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except Exception as e:
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print(f"\n[X] 数据抓取失败: {e}")
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self.logger.error(f"数据抓取失败: {e}", exc_info=True)
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return False
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def generate_csv(self) -> bool:
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"""步骤2:生成CSV文件"""
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print("\n" + "="*70)
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print("【步骤2/3】生成CSV文件")
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print("="*70)
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try:
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# 初始化导出器(CSV模式,连接数据库查询author_id)
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exporter = DataExporter(use_database=False)
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print("\n生成三个CSV文件...")
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print(" 注意:author_id 将从 ai_authors 表中查询")
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# 执行CSV导出
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success = exporter.export_all_tables()
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if success:
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print("\n[OK] CSV文件生成成功")
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self.logger.info("CSV文件生成成功")
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return True
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else:
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print("\n[X] CSV文件生成失败")
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self.logger.error("CSV文件生成失败")
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return False
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except Exception as e:
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print(f"\n[X] CSV生成失败: {e}")
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self.logger.error(f"CSV生成失败: {e}", exc_info=True)
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return False
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def import_to_database(self) -> bool:
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"""步骤3:导入数据库"""
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print("\n" + "="*70)
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print("【步骤3/3】导入数据库")
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print("="*70)
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try:
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# 创建导入器
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importer = CSVImporter()
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print("\n将CSV数据导入到数据库...")
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# 导入所有CSV文件
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success = importer.import_all()
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if success:
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print("\n[OK] 数据库导入成功")
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self.logger.info("数据库导入成功")
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return True
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else:
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print("\n[X] 数据库导入失败")
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self.logger.error("数据库导入失败")
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return False
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except Exception as e:
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print(f"\n[X] 数据库导入失败: {e}")
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self.logger.error(f"数据库导入失败: {e}", exc_info=True)
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return False
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def sync_data(self):
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"""执行完整的数据同步流程"""
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start_time = datetime.now()
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self.stats['total_runs'] += 1
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self.stats['last_run_time'] = start_time
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print("\n" + "="*70)
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print(f"开始数据同步 - {start_time.strftime('%Y-%m-%d %H:%M:%S')}")
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print("="*70)
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self.logger.info("="*70)
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self.logger.info(f"开始数据同步 - {start_time.strftime('%Y-%m-%d %H:%M:%S')}")
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self.logger.info("="*70)
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try:
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# 步骤1:抓取数据
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if not self.fetch_data():
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raise Exception("数据抓取失败")
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# 步骤2:生成CSV
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if not self.generate_csv():
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raise Exception("CSV生成失败")
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# 步骤3:导入数据库
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if not self.import_to_database():
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raise Exception("数据库导入失败")
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# 成功
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end_time = datetime.now()
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duration = (end_time - start_time).total_seconds()
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self.stats['successful_runs'] += 1
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self.stats['last_success_time'] = end_time
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self.stats['last_error'] = None
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print("\n" + "="*70)
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print(f"✓ 数据同步完成 - 用时 {duration:.1f} 秒")
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print(f" 完成时间: {end_time.strftime('%Y-%m-%d %H:%M:%S')}")
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print("="*70 + "\n")
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self.logger.info(f"数据同步成功 - 用时 {duration:.1f} 秒")
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self.print_stats()
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except Exception as e:
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# 失败
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end_time = datetime.now()
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duration = (end_time - start_time).total_seconds()
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self.stats['failed_runs'] += 1
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self.stats['last_error'] = str(e)
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print("\n" + "="*70)
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print(f"✗ 数据同步失败 - 用时 {duration:.1f} 秒")
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print(f" 错误: {e}")
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print("="*70 + "\n")
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self.logger.error(f"数据同步失败: {e}", exc_info=True)
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self.print_stats()
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def print_stats(self):
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"""打印统计信息"""
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print("\n" + "-"*70)
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print("运行统计:")
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print(f" 总运行次数: {self.stats['total_runs']}")
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print(f" 成功次数: {self.stats['successful_runs']}")
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print(f" 失败次数: {self.stats['failed_runs']}")
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if self.stats['last_run_time']:
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print(f" 上次运行: {self.stats['last_run_time'].strftime('%Y-%m-%d %H:%M:%S')}")
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if self.stats['last_success_time']:
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print(f" 上次成功: {self.stats['last_success_time'].strftime('%Y-%m-%d %H:%M:%S')}")
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if self.stats['last_error']:
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print(f" 上次错误: {self.stats['last_error']}")
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print("-"*70 + "\n")
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self.logger.info(f"运行统计: 总{self.stats['total_runs']}次, 成功{self.stats['successful_runs']}次, 失败{self.stats['failed_runs']}次")
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def get_next_midnight(self) -> datetime:
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"""获取下一个午夜时刻"""
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now = datetime.now()
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tomorrow = now + timedelta(days=1)
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next_midnight = tomorrow.replace(hour=0, minute=0, second=0, microsecond=0)
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return next_midnight
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def run(self):
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"""启动守护进程"""
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print("\n" + "="*70)
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print("守护进程已启动")
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print("="*70)
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# 设置定时任务:每天午夜00:00执行
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schedule.every().day.at("00:00").do(self.sync_data)
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# 计算下次执行时间
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next_run = self.get_next_midnight()
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time_until_next = (next_run - datetime.now()).total_seconds()
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print(f"\n下次执行时间: {next_run.strftime('%Y-%m-%d %H:%M:%S')}")
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print(f"距离下次执行: {time_until_next/3600:.1f} 小时")
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print("\n按 Ctrl+C 可以停止守护进程")
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print("="*70 + "\n")
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self.logger.info(f"守护进程已启动,下次执行时间: {next_run.strftime('%Y-%m-%d %H:%M:%S')}")
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try:
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while True:
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schedule.run_pending()
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time.sleep(60) # 每分钟检查一次
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except KeyboardInterrupt:
|
||||
print("\n\n" + "="*70)
|
||||
print("守护进程已停止")
|
||||
print("="*70)
|
||||
self.print_stats()
|
||||
self.logger.info("守护进程已停止")
|
||||
|
||||
|
||||
def main():
|
||||
"""主程序入口"""
|
||||
print("\n" + "="*70)
|
||||
print("数据同步守护进程配置")
|
||||
print("="*70)
|
||||
|
||||
# 检查是否为非交互模式(systemd服务或环境变量)
|
||||
non_interactive = not sys.stdin.isatty() or os.getenv('NON_INTERACTIVE', '').lower() == 'true'
|
||||
|
||||
if non_interactive:
|
||||
# 非交互模式:使用环境变量或默认值
|
||||
print("\n[检测到非交互模式,使用默认配置]")
|
||||
print("可通过环境变量配置:")
|
||||
print(" LOAD_FROM_DB=true/false - Cookie来源")
|
||||
print(" USE_PROXY=true/false - 是否使用代理")
|
||||
print(" DAYS=7 - 抓取天数")
|
||||
print(" MAX_RETRIES=3 - 重试次数")
|
||||
print(" RUN_NOW=true/false - 是否立即执行\n")
|
||||
|
||||
load_from_db = os.getenv('LOAD_FROM_DB', 'true').lower() == 'true'
|
||||
use_proxy = os.getenv('USE_PROXY', 'true').lower() == 'true'
|
||||
days = int(os.getenv('DAYS', '7'))
|
||||
max_retries = int(os.getenv('MAX_RETRIES', '3'))
|
||||
run_now = os.getenv('RUN_NOW', 'true').lower() == 'true'
|
||||
else:
|
||||
# 交互模式:显示菜单
|
||||
# 配置选项
|
||||
print("\n请配置守护进程参数:\n")
|
||||
|
||||
# 1. Cookie来源
|
||||
print("1. Cookie来源:")
|
||||
print(" 1) 从本地文件加载 (captured_account_cookies.json)")
|
||||
print(" 2) 从数据库加载 (推荐)")
|
||||
source = input("\n 输入选项 (1/2, 默认2): ").strip() or '2'
|
||||
load_from_db = (source == '2')
|
||||
|
||||
# 2. 是否使用代理
|
||||
print("\n2. 是否使用代理?")
|
||||
use_proxy_input = input(" (y/n, 默认n): ").strip().lower() or 'n'
|
||||
use_proxy = (use_proxy_input == 'y')
|
||||
|
||||
# 3. 抓取天数
|
||||
print("\n3. 抓取最近多少天的数据?")
|
||||
days_input = input(" (默认7天): ").strip() or '7'
|
||||
try:
|
||||
days = int(days_input)
|
||||
except ValueError:
|
||||
days = 7
|
||||
|
||||
# 4. 错误重试次数(默认启用)
|
||||
print("\n4. 最大重试次数?")
|
||||
print(" (遇到代理连接错误时自动重试)")
|
||||
retries_input = input(" (默认3次): ").strip() or '3'
|
||||
try:
|
||||
max_retries = int(retries_input)
|
||||
except ValueError:
|
||||
max_retries = 3
|
||||
|
||||
# 5. 是否立即执行一次
|
||||
print("\n5. 是否立即执行一次同步?")
|
||||
print(" (否则等待到午夜00:00执行)")
|
||||
run_now_input = input(" (y/n, 默认n): ").strip().lower() or 'n'
|
||||
run_now = (run_now_input == 'y')
|
||||
|
||||
# 确认配置
|
||||
print("\n" + "="*70)
|
||||
print("配置确认:")
|
||||
print(f" Cookie来源: {'数据库' if load_from_db else '本地文件'}")
|
||||
print(f" 使用代理: {'是' if use_proxy else '否'}")
|
||||
print(f" 抓取天数: {days}天")
|
||||
print(f" 错误重试: 最大{max_retries}次")
|
||||
print(f" 立即执行: {'是' if run_now else '否'}")
|
||||
print(f" 定时执行: 每天午夜00:00")
|
||||
print("="*70)
|
||||
|
||||
confirm = input("\n确认启动守护进程?(y/n): ").strip().lower()
|
||||
if confirm != 'y':
|
||||
print("\n已取消")
|
||||
return
|
||||
|
||||
# 创建守护进程
|
||||
daemon = DataSyncDaemon(use_proxy=use_proxy, load_from_db=load_from_db, days=days, max_retries=max_retries)
|
||||
|
||||
# 如果选择立即执行,先执行一次
|
||||
if run_now:
|
||||
print("\n立即执行一次同步...")
|
||||
daemon.sync_data()
|
||||
|
||||
# 启动守护进程
|
||||
daemon.run()
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
Reference in New Issue
Block a user