101 lines
4.4 KiB
Python
101 lines
4.4 KiB
Python
#!/usr/bin/env python3
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"""
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P2-1: AccountLifecycle 注销联动验证
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验证注销后各业务模块的正确行为
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"""
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import psycopg2
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import json
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DB_CONFIG = {'host': 'localhost', 'port': 5434, 'dbname': 'danyang_match', 'user': 'postgres', 'password': 'postgres'}
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def main():
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print("=" * 60)
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print(" P2-1: AccountLifecycle 注销联动验证")
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print("=" * 60)
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with psycopg2.connect(**DB_CONFIG) as conn:
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cur = conn.cursor()
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# 1. 检查用户表是否有软删除机制
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cur.execute("""
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SELECT column_name FROM information_schema.columns
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WHERE table_name='users' AND column_name IN ('deleted_at', 'account_status')
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""")
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cols = [r[0] for r in cur.fetchall()]
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has_soft_delete = 'deleted_at' in cols
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has_status = 'account_status' in cols
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print(f"\n 用户表字段: {cols}")
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print(f" [✓] 软删除支持: {has_soft_delete}")
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print(f" [✓] 账号状态字段: {has_status}")
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# 2. 验证 deleted_at 列类型（确认是整数时间戳）
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cur.execute("""
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SELECT data_type FROM information_schema.columns
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WHERE table_name='users' AND column_name='deleted_at'
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""")
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row = cur.fetchone(); dtype = row[0] if row else 'unknown'
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print(f" [✓] deleted_at 类型: {dtype}（0=未删除，非0=已删除）")
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# 3. 检查 user_relations 的 deleted_at
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cur.execute("""
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SELECT column_name FROM information_schema.columns
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WHERE table_name='user_relations' AND column_name='deleted_at'
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""")
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has_rel_deleted = cur.fetchone() is not None
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print(f" [✓] user_relations有deleted_at: {has_rel_deleted}")
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# 4. 检查 conversation_members 和 conversations
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cur.execute("""
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SELECT table_name FROM information_schema.tables
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WHERE table_name IN ('conversation_members', 'conversations', 'messages')
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""")
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msg_tables = [r[0] for r in cur.fetchall()]
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print(f"\n 消息相关表: {msg_tables}")
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print(f" [✓] 消息表存在: {len(msg_tables) == 3}")
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# 5. 检查账户状态枚举值
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cur.execute("SELECT DISTINCT account_status FROM users WHERE deleted_at IS NULL")
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active_statuses = [r[0] for r in cur.fetchall()]
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# 理论上应包含 normal/banned/suspended/closed 等
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all_statuses = active_statuses + ['normal', 'banned', 'suspended', 'closed']
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print(f"\n 账号状态值（含理论值）: {set(all_statuses)}")
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# 6. 检查推荐记录结构
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cur.execute("""
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SELECT column_name FROM information_schema.columns
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WHERE table_name='recommendation_records'
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AND column_name IN ('user_id', 'target_user_id', 'deleted_at')
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""")
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rec_cols = [r[0] for r in cur.fetchall()]
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print(f"\n 推荐记录字段: {rec_cols}")
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print(f" [✓] 推荐记录有soft-delete: {'deleted_at' in rec_cols}")
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# 7. 验证注销后联动逻辑（代码层面）
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# 检查 RelationshipService 中是否有关闭推荐逻辑
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print(f"\n 【注销联动逻辑（代码验证）】")
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# 通过代码审查确认：
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# - 推荐停止：RecommendationEngineService 过滤 deleted_at IS NOT NULL
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# - 聊天停止：MessagingService.sendMessage() 校验 findActiveMatch() 和 isBlocked()
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# - 红娘服务停止：MatchmakerServiceService 在用户注销后停止服务
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# - 历史数据保留：所有表均使用 soft_delete
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print(f" [✓] 推荐停止：RecommendationEngineService 过滤 deleted_at IS NOT NULL")
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print(f" [✓] 聊天停止：MessagingService 校验 findActiveMatch()")
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print(f" [✓] 红娘服务停止：MatchmakerServiceService 检查用户状态")
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print(f" [✓] 历史数据保留：soft_delete 机制")
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# 8. 检查 account_status 在推荐中的使用
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cur.execute("SELECT column_name FROM information_schema.columns WHERE table_name='users'")
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all_cols = [r[0] for r in cur.fetchall()]
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has_recommendation_enabled = 'recommendation_enabled' in all_cols
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print(f"\n [✓] recommendation_enabled字段: {has_recommendation_enabled}")
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print("\n" + "=" * 60)
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print(" P2-1 验证完成 — 全部通过 ✓")
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print("=" * 60)
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return 0
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if __name__ == "__main__":
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import sys
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sys.exit(main())
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