266 lines
9.2 KiB
Python
266 lines
9.2 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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MindSpider AI爬虫项目 - 数据库管理工具
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提供数据库状态查看、数据统计、清理等功能
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"""
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import os
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import sys
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import pymysql
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import argparse
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from pathlib import Path
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from datetime import datetime, timedelta
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# 添加项目根目录到路径
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project_root = Path(__file__).parent.parent
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sys.path.append(str(project_root))
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try:
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import config
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except ImportError:
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print("错误: 无法导入config.py配置文件")
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sys.exit(1)
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class DatabaseManager:
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def __init__(self):
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self.connection = None
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self.connect()
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def connect(self):
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"""连接数据库"""
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try:
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self.connection = pymysql.connect(
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host=config.DB_HOST,
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port=config.DB_PORT,
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user=config.DB_USER,
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password=config.DB_PASSWORD,
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database=config.DB_NAME,
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charset=config.DB_CHARSET,
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autocommit=True
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)
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print(f"成功连接到数据库: {config.DB_NAME}")
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except Exception as e:
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print(f"数据库连接失败: {e}")
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sys.exit(1)
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def close(self):
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"""关闭数据库连接"""
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if self.connection:
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self.connection.close()
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def show_tables(self):
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"""显示所有表"""
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print("\n" + "=" * 60)
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print("数据库表列表")
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print("=" * 60)
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cursor = self.connection.cursor()
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cursor.execute("SHOW TABLES")
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tables = cursor.fetchall()
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if not tables:
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print("数据库中没有表")
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return
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# 分类显示表
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mindspider_tables = []
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mediacrawler_tables = []
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for table in tables:
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table_name = table[0]
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if table_name in ['daily_news', 'daily_topics', 'topic_news_relation', 'crawling_tasks']:
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mindspider_tables.append(table_name)
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else:
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mediacrawler_tables.append(table_name)
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print("MindSpider核心表:")
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for table in mindspider_tables:
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cursor.execute(f"SELECT COUNT(*) FROM {table}")
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count = cursor.fetchone()[0]
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print(f" - {table:<25} ({count:>6} 条记录)")
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print("\nMediaCrawler平台表:")
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for table in mediacrawler_tables:
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try:
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cursor.execute(f"SELECT COUNT(*) FROM {table}")
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count = cursor.fetchone()[0]
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print(f" - {table:<25} ({count:>6} 条记录)")
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except:
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print(f" - {table:<25} (查询失败)")
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def show_statistics(self):
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"""显示数据统计"""
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print("\n" + "=" * 60)
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print("数据统计")
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print("=" * 60)
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cursor = self.connection.cursor()
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try:
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# 新闻统计
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cursor.execute("SELECT COUNT(*) FROM daily_news")
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news_count = cursor.fetchone()[0]
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cursor.execute("SELECT COUNT(DISTINCT crawl_date) FROM daily_news")
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news_days = cursor.fetchone()[0]
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cursor.execute("SELECT COUNT(DISTINCT source_platform) FROM daily_news")
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platforms = cursor.fetchone()[0]
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print(f"新闻数据:")
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print(f" - 总新闻数: {news_count}")
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print(f" - 覆盖天数: {news_days}")
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print(f" - 新闻平台: {platforms}")
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# 话题统计
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cursor.execute("SELECT COUNT(*) FROM daily_topics")
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topic_count = cursor.fetchone()[0]
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cursor.execute("SELECT COUNT(DISTINCT extract_date) FROM daily_topics")
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topic_days = cursor.fetchone()[0]
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print(f"\n话题数据:")
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print(f" - 总话题数: {topic_count}")
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print(f" - 提取天数: {topic_days}")
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# 爬取任务统计
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cursor.execute("SELECT COUNT(*) FROM crawling_tasks")
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task_count = cursor.fetchone()[0]
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cursor.execute("SELECT task_status, COUNT(*) FROM crawling_tasks GROUP BY task_status")
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task_status = cursor.fetchall()
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print(f"\n爬取任务:")
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print(f" - 总任务数: {task_count}")
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for status, count in task_status:
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print(f" - {status}: {count}")
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# 爬取内容统计
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print(f"\n平台内容统计:")
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platform_tables = {
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'xhs_note': '小红书',
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'douyin_aweme': '抖音',
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'kuaishou_video': '快手',
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'bilibili_video': 'B站',
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'weibo_note': '微博',
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'tieba_note': '贴吧',
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'zhihu_content': '知乎'
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}
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for table, platform in platform_tables.items():
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try:
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cursor.execute(f"SELECT COUNT(*) FROM {table}")
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count = cursor.fetchone()[0]
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print(f" - {platform}: {count}")
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except:
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print(f" - {platform}: 表不存在")
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except Exception as e:
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print(f"统计查询失败: {e}")
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def show_recent_data(self, days=7):
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"""显示最近几天的数据"""
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print(f"\n" + "=" * 60)
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print(f"最近{days}天的数据")
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print("=" * 60)
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cursor = self.connection.cursor()
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# 最近的新闻
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cursor.execute("""
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SELECT crawl_date, COUNT(*) as news_count, COUNT(DISTINCT source_platform) as platforms
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FROM daily_news
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WHERE crawl_date >= DATE_SUB(CURDATE(), INTERVAL %s DAY)
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GROUP BY crawl_date
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ORDER BY crawl_date DESC
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""", (days,))
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news_data = cursor.fetchall()
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if news_data:
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print("每日新闻统计:")
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for date, count, platforms in news_data:
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print(f" {date}: {count} 条新闻, {platforms} 个平台")
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# 最近的话题
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cursor.execute("""
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SELECT extract_date, COUNT(*) as topic_count
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FROM daily_topics
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WHERE extract_date >= DATE_SUB(CURDATE(), INTERVAL %s DAY)
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GROUP BY extract_date
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ORDER BY extract_date DESC
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""", (days,))
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topic_data = cursor.fetchall()
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if topic_data:
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print("\n每日话题统计:")
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for date, count in topic_data:
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print(f" {date}: {count} 个话题")
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def cleanup_old_data(self, days=90, dry_run=True):
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"""清理旧数据"""
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print(f"\n" + "=" * 60)
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print(f"清理{days}天前的数据 ({'预览模式' if dry_run else '执行模式'})")
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print("=" * 60)
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cursor = self.connection.cursor()
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cutoff_date = datetime.now() - timedelta(days=days)
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# 检查要删除的数据
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cleanup_queries = [
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("daily_news", f"SELECT COUNT(*) FROM daily_news WHERE crawl_date < '{cutoff_date.date()}'"),
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("daily_topics", f"SELECT COUNT(*) FROM daily_topics WHERE extract_date < '{cutoff_date.date()}'"),
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("crawling_tasks", f"SELECT COUNT(*) FROM crawling_tasks WHERE scheduled_date < '{cutoff_date.date()}'")
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]
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for table, query in cleanup_queries:
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cursor.execute(query)
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count = cursor.fetchone()[0]
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if count > 0:
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print(f" {table}: {count} 条记录将被删除")
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if not dry_run:
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delete_query = query.replace("SELECT COUNT(*)", "DELETE")
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cursor.execute(delete_query)
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print(f" 已删除 {count} 条记录")
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else:
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print(f" {table}: 无需清理")
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if dry_run:
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print("\n这是预览模式,没有实际删除数据。使用 --execute 参数执行实际清理。")
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def main():
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parser = argparse.ArgumentParser(description="MindSpider数据库管理工具")
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parser.add_argument("--tables", action="store_true", help="显示所有表")
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parser.add_argument("--stats", action="store_true", help="显示数据统计")
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parser.add_argument("--recent", type=int, default=7, help="显示最近N天的数据 (默认7天)")
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parser.add_argument("--cleanup", type=int, help="清理N天前的数据")
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parser.add_argument("--execute", action="store_true", help="执行实际清理操作")
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args = parser.parse_args()
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# 如果没有参数,显示所有信息
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if not any([args.tables, args.stats, args.recent != 7, args.cleanup]):
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args.tables = True
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args.stats = True
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db_manager = DatabaseManager()
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try:
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if args.tables:
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db_manager.show_tables()
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if args.stats:
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db_manager.show_statistics()
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if args.recent != 7 or not any([args.tables, args.stats, args.cleanup]):
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db_manager.show_recent_data(args.recent)
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if args.cleanup:
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db_manager.cleanup_old_data(args.cleanup, dry_run=not args.execute)
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finally:
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db_manager.close()
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if __name__ == "__main__":
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main()
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