2139 lines
180 KiB
Plaintext
2139 lines
180 KiB
Plaintext
19:00:05 - article_server - INFO - 日志系统已启动 - 记录器: article_server
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19:00:05 - article_server - INFO - 主日志文件: logs/article_server.log
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19:00:05 - article_server - INFO - 错误日志文件: logs/article_error.log
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19:00:05 - article_server - INFO - 日志保留策略: 每天午夜分割，主日志保留3天
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19:00:05 - article_server - INFO - 错误日志保留策略: 每天午夜分割，保留9天
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19:00:05 - article_server - INFO - 万花筒API服务模块已加载
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19:00:19 - article_server - INFO - [API访问] GET /api/enterprises/info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
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19:00:19 - article_server - INFO - [Token验证成功] 用户ID: 3
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19:00:20 - article_server - INFO - 数据库连接成功，字符集设置完成
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19:00:20 - article_server - INFO - [SQL执行] 开始执行查询SQL
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19:00:20 - article_server - INFO - [SQL语句]
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SELECT id, enterprise_ID, name, short_name, phone, email, status,
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users_total, products_total, articles_total, published_total,
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created_at, updated_at
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FROM ai_enterprises
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WHERE id = %s
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19:00:20 - article_server - INFO - [SQL参数] (1,)
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19:00:20 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
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19:00:20 - article_server - INFO - [SQL数据] 查询结果: [{'id': 1, 'enterprise_ID': 'ENT-2024-0001', 'name': '乐航', 'short_name': '企业122你们好', 'phone': '13621242430', 'email': 'raowenlong@vizee.cn', 'status': 'active', 'users_total': 2, 'products_total': 2, 'articles_total': 40, 'published_total': 0, 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 21, 7, 59, 16)}]
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19:00:20 - article_server - INFO - 获取企业信息成功（含密码）: ID 1
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19:00:20 - article_server - INFO - [API响应] GET /api/enterprises/info - IP: 104.244.91.212 - 状态码: 200
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19:00:20 - article_server - INFO - [API访问] GET /api/users/info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
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19:00:20 - article_server - INFO - [Token验证成功] 用户ID: 3
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19:00:20 - article_server - INFO - [获取用户信息] 开始处理请求, IP: 104.244.91.212
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19:00:20 - article_server - INFO - [获取用户信息] 用户ID: 3, action: , IP: 104.244.91.212
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19:00:20 - article_server - INFO - 数据库连接成功，字符集设置完成
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19:00:20 - article_server - INFO - [SQL执行] 开始执行查询SQL
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19:00:20 - article_server - INFO - [SQL语句]
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SELECT id, enterprise_id, enterprise_name, username, real_name, email, phone,
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wechat_openid, wechat_unionid,
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is_bound_xhs, department, role, status, created_at, updated_at
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FROM ai_users u
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WHERE id = %s AND status != 'deleted'
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19:00:20 - article_server - INFO - [SQL参数] (3,)
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19:00:20 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
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19:00:20 - article_server - INFO - [SQL数据] 查询结果: [{'id': 3, 'enterprise_id': 1, 'enterprise_name': '刘勇企业3号', 'username': 'user003', 'real_name': '刘勇', 'email': None, 'phone': '18211010472', 'wechat_openid': None, 'wechat_unionid': None, 'is_bound_xhs': 1, 'department': '市场部', 'role': 'admin', 'status': 'active', 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 21, 10, 43, 4)}]
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19:00:20 - article_server - INFO - [SQL执行] 开始执行插入SQL
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19:00:20 - article_server - INFO - [SQL语句]
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INSERT INTO ai_logs
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(user_id, action, target_type, target_id, description,
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ip_address, user_agent, request_data, response_data,
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status, error_message, created_at)
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VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())
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19:00:20 - article_server - INFO - [SQL参数] (3, 'get_user_info', 'user', 3, '查询用户信息: user003, action=', '104.244.91.212', 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36', None, None, 'success', None)
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19:00:20 - article_server - INFO - [SQL结果] 插入完成，新记录ID: 63204
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19:00:20 - article_server - INFO - [业务日志] 操作: get_user_info | 用户ID: 3 | 目标: user#3 | 状态: success | IP: 104.244.91.212 | 日志ID: 63204
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19:00:20 - article_server - INFO - [API响应] GET /api/users/info - IP: 104.244.91.212 - 状态码: 200
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19:00:27 - article_server - INFO - [API访问] GET /api/users/info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
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19:00:27 - article_server - INFO - [Token验证成功] 用户ID: 3
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19:00:27 - article_server - INFO - [获取用户信息] 开始处理请求, IP: 104.244.91.212
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19:00:27 - article_server - INFO - [获取用户信息] 用户ID: 3, action: , IP: 104.244.91.212
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19:00:27 - article_server - INFO - [API访问] GET /api/enterprises/info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
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19:00:27 - article_server - INFO - [Token验证成功] 用户ID: 3
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19:00:27 - article_server - INFO - [SQL执行] 开始执行查询SQL
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19:00:27 - article_server - INFO - [SQL语句]
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SELECT id, enterprise_ID, name, short_name, phone, email, status,
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users_total, products_total, articles_total, published_total,
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created_at, updated_at
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FROM ai_enterprises
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WHERE id = %s
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19:00:27 - article_server - INFO - [SQL参数] (1,)
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19:00:27 - article_server - INFO - [SQL执行] 开始执行查询SQL
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19:00:27 - article_server - INFO - [SQL语句]
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SELECT id, enterprise_id, enterprise_name, username, real_name, email, phone,
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wechat_openid, wechat_unionid,
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is_bound_xhs, department, role, status, created_at, updated_at
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FROM ai_users u
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WHERE id = %s AND status != 'deleted'
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19:00:27 - article_server - INFO - [SQL参数] (3,)
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19:00:27 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
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19:00:27 - article_server - INFO - [SQL数据] 查询结果: [{'id': 1, 'enterprise_ID': 'ENT-2024-0001', 'name': '乐航', 'short_name': '企业122你们好', 'phone': '13621242430', 'email': 'raowenlong@vizee.cn', 'status': 'active', 'users_total': 2, 'products_total': 2, 'articles_total': 40, 'published_total': 0, 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 21, 7, 59, 16)}]
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19:00:27 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
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19:00:27 - article_server - INFO - [SQL数据] 查询结果: [{'id': 3, 'enterprise_id': 1, 'enterprise_name': '刘勇企业3号', 'username': 'user003', 'real_name': '刘勇', 'email': None, 'phone': '18211010472', 'wechat_openid': None, 'wechat_unionid': None, 'is_bound_xhs': 1, 'department': '市场部', 'role': 'admin', 'status': 'active', 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 21, 10, 43, 4)}]
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19:00:27 - article_server - INFO - 获取企业信息成功（含密码）: ID 1
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19:00:27 - article_server - INFO - [API响应] GET /api/enterprises/info - IP: 104.244.91.212 - 状态码: 200
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19:00:27 - article_server - INFO - [SQL执行] 开始执行插入SQL
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19:00:27 - article_server - INFO - [SQL语句]
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INSERT INTO ai_logs
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(user_id, action, target_type, target_id, description,
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ip_address, user_agent, request_data, response_data,
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status, error_message, created_at)
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VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())
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19:00:27 - article_server - INFO - [SQL参数] (3, 'get_user_info', 'user', 3, '查询用户信息: user003, action=', '104.244.91.212', 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36', None, None, 'success', None)
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19:00:27 - article_server - INFO - [SQL结果] 插入完成，新记录ID: 63209
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19:00:27 - article_server - INFO - [业务日志] 操作: get_user_info | 用户ID: 3 | 目标: user#3 | 状态: success | IP: 104.244.91.212 | 日志ID: 63209
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19:00:27 - article_server - INFO - [API响应] GET /api/users/info - IP: 104.244.91.212 - 状态码: 200
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19:00:32 - article_server - INFO - [API访问] GET /api/dashboard/overview - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
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19:00:32 - article_server - INFO - [Token验证成功] 用户ID: 3
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19:00:32 - article_server - INFO - [API访问] GET /api/dashboard/recent-publishes - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
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19:00:32 - article_server - INFO - [Token验证成功] 用户ID: 3
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19:00:32 - article_server - INFO - [SQL执行] 开始执行查询SQL
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19:00:32 - article_server - INFO - [SQL语句]
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SELECT r.id, r.publish_time,
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u.real_name as employee_name,
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p.name as product_name,
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'success' as status
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FROM ai_article_published_records r
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LEFT JOIN ai_users u ON r.created_user_id = u.id
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LEFT JOIN ai_products p ON r.product_id = p.id
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WHERE r.enterprise_id = %s
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ORDER BY r.publish_time DESC
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LIMIT %s
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19:00:32 - article_server - INFO - [SQL参数] (1, 5)
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19:00:32 - article_server - INFO - [SQL执行] 开始执行查询SQL
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19:00:32 - article_server - INFO - [SQL语句]
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SELECT users_total, products_total, articles_total, published_total
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FROM ai_enterprises
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WHERE id = %s
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19:00:32 - article_server - INFO - [SQL参数] (1,)
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19:00:32 - article_server - INFO - [SQL结果] 查询完成，返回 4 条记录
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19:00:32 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
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19:00:32 - article_server - INFO - [SQL数据] 查询结果: [{'users_total': 2, 'products_total': 2, 'articles_total': 40, 'published_total': 0}]
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19:00:32 - article_server - INFO - 获取最近发布成功
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19:00:32 - article_server - INFO - [API响应] GET /api/dashboard/recent-publishes - IP: 104.244.91.212 - 状态码: 200
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19:00:32 - article_server - INFO - [SQL执行] 开始执行查询SQL
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19:00:32 - article_server - INFO - [SQL语句]
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SELECT COUNT(*) as month_published
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FROM ai_article_published_records
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WHERE enterprise_id = %s
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AND YEAR(publish_time) = YEAR(CURDATE())
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AND MONTH(publish_time) = MONTH(CURDATE())
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19:00:32 - article_server - INFO - [SQL参数] (1,)
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19:00:32 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
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19:00:32 - article_server - INFO - [SQL数据] 查询结果: [{'month_published': 4}]
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19:00:32 - article_server - INFO - [SQL执行] 开始执行查询SQL
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19:00:32 - article_server - INFO - [SQL语句]
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SELECT COUNT(*) as last_month_published
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FROM ai_article_published_records
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WHERE enterprise_id = %s
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AND YEAR(publish_time) = YEAR(DATE_SUB(CURDATE(), INTERVAL 1 MONTH))
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AND MONTH(publish_time) = MONTH(DATE_SUB(CURDATE(), INTERVAL 1 MONTH))
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19:00:32 - article_server - INFO - [SQL参数] (1,)
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19:00:32 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
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19:00:32 - article_server - INFO - [SQL数据] 查询结果: [{'last_month_published': 0}]
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19:00:32 - article_server - INFO - 获取工作台概览成功
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19:00:32 - article_server - INFO - [API响应] GET /api/dashboard/overview - IP: 104.244.91.212 - 状态码: 200
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19:00:32 - article_server - INFO - [API访问] GET /api/dashboard/hot-products - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
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19:00:32 - article_server - INFO - [Token验证成功] 用户ID: 3
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19:00:32 - article_server - INFO - [SQL执行] 开始执行查询SQL
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19:00:32 - article_server - INFO - [SQL语句]
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SELECT r.product_id, p.name as product_name,
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COUNT(*) as publishes,
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ROUND(COUNT(*) * 100.0 / (SELECT COUNT(*) FROM ai_article_published_records WHERE enterprise_id = %s), 0) as percentage
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FROM ai_article_published_records r
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LEFT JOIN ai_products p ON r.product_id = p.id
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WHERE r.enterprise_id = %s
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GROUP BY r.product_id, p.name
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ORDER BY publishes DESC
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LIMIT %s
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19:00:32 - article_server - INFO - [SQL参数] (1, 1, 4)
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19:00:32 - article_server - INFO - [SQL结果] 查询完成，返回 4 条记录
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19:00:32 - article_server - INFO - 获取热门产品成功
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19:00:32 - article_server - INFO - [API响应] GET /api/dashboard/hot-products - IP: 104.244.91.212 - 状态码: 200
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19:00:34 - article_server - INFO - [API访问] GET /api/enterprises/info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
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19:00:34 - article_server - INFO - [Token验证成功] 用户ID: 3
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19:00:34 - article_server - INFO - [SQL执行] 开始执行查询SQL
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19:00:34 - article_server - INFO - [SQL语句]
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SELECT id, enterprise_ID, name, short_name, phone, email, status,
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users_total, products_total, articles_total, published_total,
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created_at, updated_at
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FROM ai_enterprises
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WHERE id = %s
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19:00:34 - article_server - INFO - [SQL参数] (1,)
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19:00:34 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
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19:00:34 - article_server - INFO - [SQL数据] 查询结果: [{'id': 1, 'enterprise_ID': 'ENT-2024-0001', 'name': '乐航', 'short_name': '企业122你们好', 'phone': '13621242430', 'email': 'raowenlong@vizee.cn', 'status': 'active', 'users_total': 2, 'products_total': 2, 'articles_total': 40, 'published_total': 0, 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 21, 7, 59, 16)}]
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19:00:34 - article_server - INFO - 获取企业信息成功（含密码）: ID 1
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19:00:34 - article_server - INFO - [API响应] GET /api/enterprises/info - IP: 104.244.91.212 - 状态码: 200
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19:00:35 - article_server - INFO - [API访问] GET /api/employees/stats - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
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19:00:35 - article_server - INFO - [Token验证成功] 用户ID: 3
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19:00:35 - article_server - INFO - [API访问] GET /api/employees/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
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19:00:35 - article_server - INFO - [Token验证成功] 用户ID: 3
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19:00:35 - article_server - INFO - [SQL执行] 开始执行查询SQL
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19:00:35 - article_server - INFO - [SQL语句]
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SELECT
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COUNT(*) as total_count,
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SUM(CASE WHEN status = 'active' THEN 1 ELSE 0 END) as active_count,
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SUM(CASE WHEN is_bound_xhs = 1 THEN 1 ELSE 0 END) as bound_xhs_count
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FROM ai_users
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WHERE enterprise_id = %s AND status != 'deleted'
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19:00:35 - article_server - INFO - [SQL参数] (1,)
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19:00:35 - article_server - INFO - [SQL执行] 开始执行查询SQL
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19:00:35 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_users u WHERE u.enterprise_id = %s AND u.status != 'deleted'
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19:00:35 - article_server - INFO - [SQL参数] [1]
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19:00:35 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
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19:00:35 - article_server - INFO - [SQL数据] 查询结果: [{'total_count': 6, 'active_count': Decimal('6'), 'bound_xhs_count': Decimal('3')}]
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19:00:35 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
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19:00:35 - article_server - INFO - [SQL数据] 查询结果: [{'total': 6}]
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19:00:35 - article_server - INFO - 获取员工统计成功
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19:00:35 - article_server - INFO - [API响应] GET /api/employees/stats - IP: 104.244.91.212 - 状态码: 200
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19:00:35 - article_server - INFO - [SQL执行] 开始执行查询SQL
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19:00:35 - article_server - INFO - [SQL语句]
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SELECT u.id, u.enterprise_id, u.real_name as name, u.username, u.phone, u.role, u.department,
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u.is_bound_xhs, a.xhs_account, u.status, u.created_at, u.updated_at
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FROM ai_users u
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LEFT JOIN ai_authors a ON u.id = a.created_user_id AND a.status = 'active'
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WHERE u.enterprise_id = %s AND u.status != 'deleted'
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ORDER BY u.created_at DESC
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LIMIT %s OFFSET %s
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19:00:35 - article_server - INFO - [SQL参数] [1, 10, 0]
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19:00:35 - article_server - INFO - [SQL结果] 查询完成，返回 6 条记录
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19:00:35 - article_server - INFO - 获取员工列表成功，总数: 6
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19:00:35 - article_server - INFO - [API响应] GET /api/employees/list - IP: 104.244.91.212 - 状态码: 200
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19:00:40 - article_server - INFO - [API访问] GET /api/products/types/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
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19:00:40 - article_server - INFO - [Token验证成功] 用户ID: 3
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19:00:40 - article_server - INFO - [获取企业产品类型列表] 开始处理请求, IP: 104.244.91.212
|
||
19:00:40 - article_server - INFO - [获取企业产品类型列表] 企业ID: 1, IP: 104.244.91.212
|
||
19:00:40 - article_server - INFO - [API访问] GET /api/products/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:00:40 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:00:40 - article_server - INFO - [获取产品列表] 开始处理请求, IP: 104.244.91.212
|
||
19:00:40 - article_server - INFO - [获取产品列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:40 - article_server - INFO - [获取产品列表] 查询参数: page=1, pageSize=12, keyword=, type=, status=, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:40 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:40 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_products WHERE enterprise_id = %s AND status != 'deleted'
|
||
19:00:40 - article_server - INFO - [SQL参数] [1]
|
||
19:00:40 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:40 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_product_types WHERE enterprise_id = %s
|
||
19:00:40 - article_server - INFO - [SQL参数] [1]
|
||
19:00:40 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:40 - article_server - INFO - [SQL数据] 查询结果: [{'total': 5}]
|
||
19:00:40 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:40 - article_server - INFO - [SQL数据] 查询结果: [{'total': 0}]
|
||
19:00:40 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:40 - article_server - INFO - [SQL语句]
|
||
SELECT p.id, p.name, p.type_name, p.knowledge, p.status,
|
||
p.articles_total, p.published_total,
|
||
p.image_url, p.image_thumbnail_url,
|
||
p.created_at, p.updated_at
|
||
FROM ai_products p
|
||
WHERE enterprise_id = %s AND status != 'deleted'
|
||
ORDER BY p.created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:00:40 - article_server - INFO - [SQL参数] [1, 12, 0]
|
||
19:00:40 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:40 - article_server - INFO - [SQL结果] 查询完成，返回 5 条记录
|
||
19:00:40 - article_server - INFO - [SQL语句]
|
||
SELECT id, type_name, enterprise_id, product_id, created_at
|
||
FROM ai_product_types
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:00:40 - article_server - INFO - [SQL参数] [1, 100, 0]
|
||
19:00:40 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:00:40 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:40 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:00:40 - article_server - INFO - [SQL参数] (25,)
|
||
19:00:40 - article_server - INFO - [获取企业产品类型列表] 查询成功, 企业ID: 1, 总数: 0, 返回: 0, IP: 104.244.91.212
|
||
19:00:40 - article_server - INFO - [API响应] GET /api/products/types/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:00:40 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:00:40 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:40 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:00:40 - article_server - INFO - [SQL参数] (13,)
|
||
19:00:40 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:00:40 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:40 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:00:40 - article_server - INFO - [SQL参数] (12,)
|
||
19:00:40 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:00:40 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:40 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:00:40 - article_server - INFO - [SQL参数] (11,)
|
||
19:00:40 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:00:40 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:40 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:00:40 - article_server - INFO - [SQL参数] (1,)
|
||
19:00:40 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:40 - article_server - INFO - [SQL数据] 查询结果: [{'id': 1, 'tag_name': '保湿'}]
|
||
19:00:40 - article_server - INFO - [获取产品列表] 查询成功, 总数: 5, 当前页: 1, 每页: 12, 返回数量: 5, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:40 - article_server - INFO - [API响应] GET /api/products/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:00:42 - article_server - INFO - [API访问] GET /api/images/types/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:00:42 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:00:42 - article_server - INFO - [获取图片类型列表] current_user: {'user_id': 3, 'username': '18211010472', 'role': 'admin', 'enterprise_id': 1, 'exp': 1766401123, 'iat': 1766314723}, enterprise_id: 1
|
||
19:00:42 - article_server - INFO - [API访问] GET /api/products/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:00:42 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:00:42 - article_server - INFO - [获取产品列表] 开始处理请求, IP: 104.244.91.212
|
||
19:00:42 - article_server - INFO - [获取产品列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:42 - article_server - INFO - [获取产品列表] 查询参数: page=1, pageSize=100, keyword=, type=, status=, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:42 - article_server - INFO - [API访问] GET /api/images/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:00:42 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_image_type WHERE enterprise_id = %s
|
||
19:00:42 - article_server - INFO - [SQL参数] [1]
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_products WHERE enterprise_id = %s AND status != 'deleted'
|
||
19:00:42 - article_server - INFO - [SQL参数] [1]
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:42 - article_server - INFO - [SQL数据] 查询结果: [{'total': 10}]
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:42 - article_server - INFO - [SQL数据] 查询结果: [{'total': 5}]
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT id, enterprise_id, type_name, keywords_id, keywords_name,
|
||
department_id, department_name, created_user_id, created_at, updated_at
|
||
FROM ai_image_type
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] [1, 100, 0]
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 10 条记录
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT p.id, p.name, p.type_name, p.knowledge, p.status,
|
||
p.articles_total, p.published_total,
|
||
p.image_url, p.image_thumbnail_url,
|
||
p.created_at, p.updated_at
|
||
FROM ai_products p
|
||
WHERE enterprise_id = %s AND status != 'deleted'
|
||
ORDER BY p.created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] [1, 100, 0]
|
||
19:00:42 - article_server - INFO - [API响应] GET /api/images/types/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 5 条记录
|
||
19:00:42 - article_server - INFO - 数据库连接成功，字符集设置完成
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(*) as total
|
||
FROM ai_images
|
||
WHERE enterprise_id = %s AND status = %s
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] [1, 'active']
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] (25,)
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:42 - article_server - INFO - [SQL数据] 查询结果: [{'total': 8}]
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT id, product_id, product_name, image_name, image_url, image_thumb_url, thumbnail_url,
|
||
image_type_id, image_type_name, department, keywords,
|
||
size_type, file_size, width, height, status,
|
||
created_at, updated_at
|
||
FROM ai_images
|
||
WHERE enterprise_id = %s AND status = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] [1, 'active', 10, 0]
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] (13,)
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 8 条记录
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] [31, 1]
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] (12,)
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:00:42 - article_server - INFO - [SQL数据] 查询结果: [{'tag_id': 9, 'tag_name': '1111111'}, {'tag_id': 10, 'tag_name': '222222222'}, {'tag_id': 11, 'tag_name': '33333333'}]
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] [30, 1]
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] (11,)
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:00:42 - article_server - INFO - [SQL数据] 查询结果: [{'tag_id': 9, 'tag_name': '1111111'}, {'tag_id': 10, 'tag_name': '222222222'}, {'tag_id': 11, 'tag_name': '33333333'}]
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] [29, 1]
|
||
19:00:42 - article_server - INFO - [API访问] GET /api/images/list_dashboard - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:00:42 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(id) as total
|
||
FROM ai_images
|
||
WHERE enterprise_id = %s AND status = 'active'
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] [1]
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] (1,)
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:00:42 - article_server - INFO - [SQL数据] 查询结果: [{'tag_id': 9, 'tag_name': '1111111'}, {'tag_id': 10, 'tag_name': '222222222'}, {'tag_id': 11, 'tag_name': '33333333'}]
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:42 - article_server - INFO - [SQL数据] 查询结果: [{'total': 8}]
|
||
19:00:42 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:42 - article_server - INFO - [SQL数据] 查询结果: [{'id': 1, 'tag_name': '保湿'}]
|
||
19:00:42 - article_server - INFO - [获取产品列表] 查询成功, 总数: 5, 当前页: 1, 每页: 100, 返回数量: 5, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:42 - article_server - INFO - [API响应] GET /api/products/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:00:42 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:42 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:00:42 - article_server - INFO - [SQL参数] [28, 1]
|
||
19:00:43 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:43 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(id) as total
|
||
FROM ai_images
|
||
WHERE enterprise_id = %s AND status = 'active' AND product_id > 0
|
||
|
||
19:00:43 - article_server - INFO - [SQL参数] [1]
|
||
19:00:43 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:00:43 - article_server - INFO - [SQL数据] 查询结果: [{'tag_id': 9, 'tag_name': '1111111'}, {'tag_id': 10, 'tag_name': '222222222'}, {'tag_id': 11, 'tag_name': '33333333'}]
|
||
19:00:43 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:43 - article_server - INFO - [SQL数据] 查询结果: [{'total': 8}]
|
||
19:00:43 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:43 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(DISTINCT product_id) as total
|
||
FROM ai_images
|
||
WHERE enterprise_id = %s AND status = 'active' AND product_id > 0
|
||
|
||
19:00:43 - article_server - INFO - [SQL参数] [1]
|
||
19:00:43 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:43 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:00:43 - article_server - INFO - [SQL参数] [27, 1]
|
||
19:00:43 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:43 - article_server - INFO - [SQL数据] 查询结果: [{'total': 2}]
|
||
19:00:43 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:00:43 - article_server - INFO - [SQL数据] 查询结果: [{'tag_id': 9, 'tag_name': '1111111'}, {'tag_id': 10, 'tag_name': '222222222'}, {'tag_id': 11, 'tag_name': '33333333'}]
|
||
19:00:43 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:43 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(id) as total
|
||
FROM ai_images
|
||
WHERE enterprise_id = %s AND status = 'active'
|
||
AND image_type_name LIKE %s
|
||
|
||
19:00:43 - article_server - INFO - [SQL参数] [1, '%场景%']
|
||
19:00:43 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:43 - article_server - INFO - [SQL数据] 查询结果: [{'total': 0}]
|
||
19:00:43 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:43 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:00:43 - article_server - INFO - [SQL参数] [26, 1]
|
||
19:00:43 - article_server - INFO - 获取图片库仪表盘数据成功，企业ID: 1
|
||
19:00:43 - article_server - INFO - [API响应] GET /api/images/list_dashboard - IP: 104.244.91.212 - 状态码: 200
|
||
19:00:43 - article_server - INFO - [SQL结果] 查询完成，返回 4 条记录
|
||
19:00:43 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:43 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:00:43 - article_server - INFO - [SQL参数] [25, 1]
|
||
19:00:43 - article_server - INFO - [SQL结果] 查询完成，返回 4 条记录
|
||
19:00:43 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:43 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:00:43 - article_server - INFO - [SQL参数] [24, 1]
|
||
19:00:43 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:00:43 - article_server - INFO - [SQL数据] 查询结果: [{'tag_id': 3, 'tag_name': '产品（4）'}, {'tag_id': 4, 'tag_name': '产品（4）3'}]
|
||
19:00:43 - article_server - INFO - 获取图片列表成功，总数: 8
|
||
19:00:43 - article_server - INFO - [API响应] GET /api/images/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:00:44 - article_server - INFO - [API访问] GET /api/prompts/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:00:44 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:00:44 - article_server - INFO - [获取提示词列表] 开始处理请求, IP: 104.244.91.212
|
||
19:00:44 - article_server - INFO - [获取提示词列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:44 - article_server - INFO - [API访问] GET /api/prompts/tags/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:00:44 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:00:44 - article_server - INFO - [获取标签列表] 开始处理请求, IP: 104.244.91.212
|
||
19:00:44 - article_server - INFO - [获取标签列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:44 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:44 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_prompt_workflow WHERE enterprise_id = %s
|
||
19:00:44 - article_server - INFO - [SQL参数] (1,)
|
||
19:00:44 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:44 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_prompt_tags WHERE enterprise_id = %s
|
||
19:00:44 - article_server - INFO - [SQL参数] [1]
|
||
19:00:44 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:44 - article_server - INFO - [SQL数据] 查询结果: [{'total': 3}]
|
||
19:00:44 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:44 - article_server - INFO - [SQL数据] 查询结果: [{'total': 2}]
|
||
19:00:44 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:44 - article_server - INFO - [SQL语句]
|
||
SELECT id, prompt_workflow_name, workflow_id, content, usage_count, created_at, updated_at
|
||
FROM ai_prompt_workflow
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:00:44 - article_server - INFO - [SQL参数] (1, 10, 0)
|
||
19:00:44 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:00:44 - article_server - INFO - [SQL数据] 查询结果: [{'id': 25, 'prompt_workflow_name': 'Inject基础提示词', 'workflow_id': '7576997068138659846', 'content': '你是一个健康类自媒体的编辑，每天需要撰写健康类内容。我将要给你一个topic，这个topic是一个问句。请你先产生一个段落的回复，然后再段展开回复。每个段落都需要用一个emoji开头。最后，请生成tag。段落与段落之间空一行，保证可读性。\n详细要求如下：\n一、核心要求：\n1.\t目标受众： 普通大众，非专业人士。务必：\n¡\t避免使用专业术语和书面化表达\n¡\t内容安全限制：\n\uf06e\t❌ 禁止提及任何人体私密部位或敏感功能\n\uf06e\t❌ 禁用可能引发恐慌的词汇（如"危险""致命"）\n2.\t内容核心： 围绕“主题”，聚焦病症、问题、危害或困扰， 解释原因、原理，介绍症状、类型，提供积极、实用的解决方案、改善建议或注意事项等有价值的内容均可。\n3.\t唯一性与实用性： 生成的内容需确保信息准确（基于常识）且每次生成的内容不应与历史输出重复（针对同一主题多次生成时）。\n二、内容结构及具体要求：\n\uf06c\t【首段提问】 (title)：\n¡\t对应内容为{{title}}\n\n\uf06c\t【次段简答】 (short-answer)：\n¡\t字数： 60-120字。 \n **内容要求**：\n 1. 第一句话必须直接回答{{title}}的提问，可以拓展1-2句话\n 2. 直接明晰，不要太笼统，禁止罗里吧嗦\n 3. 段前不要emoji表情符号\n \n **✅ 合格示例**：\n 发现HPV16或18阳性，这通常意味着宫颈癌筛查结果显示存在感染。接下来一般会建议做阴道镜检查，再根据检查的具体情况决定治疗方案。\n\n **❌ 不合格示例**：\n • 使用emoji开头\n • 没有直接回答问题\n • 过于笼统泛泛而谈 \n\n\uf06c\t【分段细答】 (contents)：\n¡\t数量要求：2-3段。\n¡\t字数要求： 60~100字/段。\n¡\t核心要求：\n\uf06e\t语言口语化、自然流畅。\n\uf06e\t段落内容必须围绕核心观点展开，根据不同情况分类详细阐述问题，可以是具体可行的建议（吃什么、做什么、注意什么等），疾病的科普（主要症状、影响、诱因等），或者其它逻辑合理的内容也可以。\n\uf06e\t内容有一定的逻辑，包括但不限于（首先、其次、最后），（第一，第二，第三），（不仅、而且、还有），（初级、中级、高级）。\n\uf06e\t每段内容均衡，不超过五句话，确保信息全面且易于消化。\n\uf06e\t分段细答部分应当是次段简答部分的延伸，但用词不能和次段简答部分有太多重复，请保持多样性。\n\uf06e\t 在生成回答前，必须执行以下创造性流程：\n\t\t结构性禁令（排除法）：行文结构不得是“定义→成因→症状→治疗”或“是什么→为什么→怎么办”及其任何变体。\n\t\t动态自我审视（核心步骤）：\n\t\t回顾：主动审视历史内容中，针对相同或相似主题已使用过的所有核心阐述逻辑。\n\t\t规避：明确禁止重复或小幅修改上述任何逻辑。\n\t\t创新：基于当前问题的具体内涵，生成一个在本质上全新的、服务于核心问题的最佳解释路径。该路径必须与所有已回顾的逻辑存在根本性差异。\n\t\t输出确认：最终采用的逻辑结构，应是本次对话上下文中一次独特的、未经使用的创造性表达形式。\n\n\uf06c\t【标签】 (tags)：\n¡\t**单个关键词字数：4-8个字。\n¡\t内容：* (1)根据正文内容，生成5个内容强相关tag； (2)标签格式:每个关键词前后都有# （例： #养生小知识# #中医养生##习惯养成# #健康养生#）\n三、变量输入：\n\uf06c\t主题： {{title}}\n四、最终安全规则：\n4.\t全篇禁止出现人体私密部位描述\n5.\t关键安全信息重复出现≥2次\n6.\t每句话≤20字，复合句用逗号分隔\n7、不能出现 "下面就给大家仔细说说"，“下面具体讲讲”，话术\n', 'usage_count': 29, 'created_at': datetime.datetime(2025, 12, 12, 20, 53, 9), 'updated_at': datetime.datetime(2025, 12, 21, 7, 59, 16)}, {'id': 14, 'prompt_workflow_name': '测试提示词', 'workflow_id': 'WF-CC8BB759', 'content': '这是一个测试提示词模板...', 'usage_count': 2, 'created_at': datetime.datetime(2025, 12, 12, 17, 41, 22), 'updated_at': datetime.datetime(2025, 12, 12, 17, 51, 54)}, {'id': 1, 'prompt_workflow_name': '种草分享型', 'workflow_id': 'WF-001', 'content': '你是一个小红书种草达人，请根据产品信息写一篇真实、有感染力的种草笔记...', 'usage_count': 0, 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 12, 16, 58, 22)}]
|
||
19:00:44 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:44 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name, created_user_id, created_at, updated_at
|
||
FROM ai_prompt_tags
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:00:44 - article_server - INFO - [SQL参数] [1, 100, 0]
|
||
19:00:44 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:00:44 - article_server - INFO - [SQL数据] 查询结果: [{'id': 15, 'tag_name': '基础提示词', 'created_user_id': 4, 'created_at': datetime.datetime(2025, 12, 16, 14, 21, 32), 'updated_at': datetime.datetime(2025, 12, 16, 14, 21, 32)}, {'id': 14, 'tag_name': '去重', 'created_user_id': 4, 'created_at': datetime.datetime(2025, 12, 16, 14, 21, 32), 'updated_at': datetime.datetime(2025, 12, 16, 14, 21, 32)}]
|
||
19:00:44 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:44 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:00:44 - article_server - INFO - [SQL参数] (25,)
|
||
19:00:44 - article_server - INFO - [获取标签列表] 查询成功, 总数: 2, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:44 - article_server - INFO - [API响应] GET /api/prompts/tags/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:00:44 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:00:44 - article_server - INFO - [SQL数据] 查询结果: [{'id': 14, 'tag_name': '去重'}, {'id': 15, 'tag_name': '基础提示词'}]
|
||
19:00:44 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:44 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:00:44 - article_server - INFO - [SQL参数] (14,)
|
||
19:00:44 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:00:44 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:44 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:00:44 - article_server - INFO - [SQL参数] (1,)
|
||
19:00:44 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:00:44 - article_server - INFO - [获取提示词列表] 查询成功, 总数: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:44 - article_server - INFO - [API响应] GET /api/prompts/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:00:50 - article_server - INFO - [API访问] GET /api/products/list_info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:00:50 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:00:50 - article_server - INFO - [获取产品列表简化版] 开始处理请求, IP: 104.244.91.212
|
||
19:00:50 - article_server - INFO - [获取产品列表简化版] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:50 - article_server - INFO - [API访问] GET /api/articles/list_dashboard - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:00:50 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:00:50 - article_server - INFO - [文章仪表盘] 开始处理请求, IP: 104.244.91.212
|
||
19:00:50 - article_server - INFO - [API访问] GET /api/prompts/list_info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:00:50 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:00:50 - article_server - INFO - [获取提示词列表简化版] 开始处理请求, IP: 104.244.91.212
|
||
19:00:50 - article_server - INFO - [获取提示词列表简化版] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:50 - article_server - INFO - [API访问] GET /api/articles/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:00:50 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:00:50 - article_server - INFO - [获取文章列表] 开始处理请求, IP: 104.244.91.212
|
||
19:00:50 - article_server - INFO - [获取文章列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:50 - article_server - INFO - [获取文章列表] 查询参数: page=1, pageSize=10, keyword=, product_id=, status=, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:50 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:50 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(id) as total
|
||
FROM ai_articles
|
||
WHERE enterprise_id = %s
|
||
|
||
19:00:50 - article_server - INFO - [SQL参数] (1,)
|
||
19:00:50 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:50 - article_server - INFO - [SQL语句]
|
||
SELECT id, name, status, created_at, updated_at
|
||
FROM ai_products
|
||
WHERE enterprise_id = %s AND status IN ('draft', 'active')
|
||
ORDER BY created_at DESC
|
||
|
||
19:00:50 - article_server - INFO - [SQL参数] (1,)
|
||
19:00:50 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:50 - article_server - INFO - [SQL语句]
|
||
SELECT id, prompt_workflow_name, created_at, updated_at
|
||
FROM ai_prompt_workflow
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
|
||
19:00:50 - article_server - INFO - [SQL参数] (1,)
|
||
19:00:50 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:50 - article_server - INFO - [SQL数据] 查询结果: [{'total': 40}]
|
||
19:00:50 - article_server - INFO - [SQL结果] 查询完成，返回 5 条记录
|
||
19:00:50 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:00:50 - article_server - INFO - [SQL数据] 查询结果: [{'id': 25, 'prompt_workflow_name': 'Inject基础提示词', 'created_at': datetime.datetime(2025, 12, 12, 20, 53, 9), 'updated_at': datetime.datetime(2025, 12, 21, 7, 59, 16)}, {'id': 14, 'prompt_workflow_name': '测试提示词', 'created_at': datetime.datetime(2025, 12, 12, 17, 41, 22), 'updated_at': datetime.datetime(2025, 12, 12, 17, 51, 54)}, {'id': 1, 'prompt_workflow_name': '种草分享型', 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 12, 16, 58, 22)}]
|
||
19:00:50 - article_server - INFO - [获取产品列表简化版] 查询成功, 返回数量: 5, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:50 - article_server - INFO - [API响应] GET /api/products/list_info - IP: 104.244.91.212 - 状态码: 200
|
||
19:00:50 - article_server - INFO - [获取提示词列表简化版] 查询成功, 返回数量: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:50 - article_server - INFO - [API响应] GET /api/prompts/list_info - IP: 104.244.91.212 - 状态码: 200
|
||
19:00:50 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:50 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(id) as total
|
||
FROM ai_articles
|
||
WHERE enterprise_id = %s AND status = 'published_review'
|
||
|
||
19:00:50 - article_server - INFO - [SQL参数] (1,)
|
||
19:00:50 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:50 - article_server - INFO - [SQL数据] 查询结果: [{'total': 0}]
|
||
19:00:51 - article_server - INFO - 数据库连接成功，字符集设置完成
|
||
19:00:51 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:51 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(*) as total
|
||
FROM ai_articles
|
||
WHERE enterprise_id = %s
|
||
|
||
19:00:51 - article_server - INFO - [SQL参数] [1]
|
||
19:00:51 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:51 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(id) as total
|
||
FROM ai_articles
|
||
WHERE enterprise_id = %s AND status = 'published'
|
||
|
||
19:00:51 - article_server - INFO - [SQL参数] (1,)
|
||
19:00:51 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:51 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:51 - article_server - INFO - [SQL数据] 查询结果: [{'total': 0}]
|
||
19:00:51 - article_server - INFO - [SQL数据] 查询结果: [{'total': 40}]
|
||
19:00:51 - article_server - INFO - [文章仪表盘] 查询成功, 企业ID: 1, 总数: 40, 可发: 0, 已发: 0, IP: 104.244.91.212
|
||
19:00:51 - article_server - INFO - [API响应] GET /api/articles/list_dashboard - IP: 104.244.91.212 - 状态码: 200
|
||
19:00:51 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:51 - article_server - INFO - [SQL语句]
|
||
SELECT id, batch_id, enterprise_id, product_id, product_name, topic_type_id,
|
||
prompt_workflow_id, prompt_workflow_name, topic, title, context_summary, department,
|
||
departmentids, author_id, author_name, department_id, department_name,
|
||
created_user_id, review_user_id, publish_user_id, status, channel,
|
||
review_comment, publish_time, publish_link, baijiahao_id, baijiahao_status,
|
||
word_count, image_count, coze_tag, created_at, updated_at,
|
||
product_name as product_name,
|
||
prompt_workflow_name as prompt_name
|
||
FROM ai_articles
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:00:51 - article_server - INFO - [SQL参数] [1, 10, 0]
|
||
19:00:51 - article_server - INFO - [SQL结果] 查询完成，返回 10 条记录
|
||
19:00:51 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:51 - article_server - INFO - [SQL语句]
|
||
SELECT id, article_id, image_id, image_url, image_thumb_url, image_tag_id,
|
||
sort_order, keywords_id, keywords_name, department_id,
|
||
department_name, image_source, created_at
|
||
FROM ai_article_images
|
||
WHERE article_id IN (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)
|
||
ORDER BY article_id, sort_order ASC, created_at ASC
|
||
|
||
19:00:51 - article_server - INFO - [SQL参数] [57, 58, 59, 54, 55, 56, 51, 52, 53, 48]
|
||
19:00:51 - article_server - INFO - [SQL结果] 查询完成，返回 7 条记录
|
||
19:00:51 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:51 - article_server - INFO - [SQL语句]
|
||
SELECT id, article_id, coze_tag, created_at
|
||
FROM ai_article_tags
|
||
WHERE article_id IN (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)
|
||
|
||
19:00:51 - article_server - INFO - [SQL参数] [57, 58, 59, 54, 55, 56, 51, 52, 53, 48]
|
||
19:00:51 - article_server - INFO - [SQL结果] 查询完成，返回 10 条记录
|
||
19:00:51 - article_server - INFO - [获取文章列表] 查询成功, 总数: 40, 当前页: 1, 每页: 10, 返回数量: 10, 企业ID: 1, IP: 104.244.91.212
|
||
19:00:51 - article_server - INFO - [API响应] GET /api/articles/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:00:56 - article_server - INFO - [API访问] GET /api/articles/57 - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:00:56 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:00:56 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:56 - article_server - INFO - [SQL语句]
|
||
SELECT a.id, a.batch_id, a.enterprise_id, a.product_id, a.topic_type_id,
|
||
a.prompt_workflow_id, a.topic, a.title, a.content, a.department,
|
||
a.departmentids, a.author_id, a.author_name, a.department_id, a.department_name,
|
||
a.created_user_id, a.review_user_id, a.publish_user_id, a.status, a.channel,
|
||
a.review_comment, a.publish_time, a.publish_link, a.baijiahao_id, a.baijiahao_status,
|
||
a.word_count, a.image_count, a.coze_tag, a.created_at, a.updated_at,
|
||
p.name as product_name,
|
||
pw.prompt_workflow_name as prompt_name
|
||
FROM ai_articles a
|
||
LEFT JOIN ai_products p ON a.product_id = p.id
|
||
LEFT JOIN ai_prompt_workflow pw ON a.prompt_workflow_id = pw.id
|
||
WHERE a.id = %s AND a.enterprise_id = %s
|
||
|
||
19:00:56 - article_server - INFO - [SQL参数] (57, 1)
|
||
19:00:56 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:56 - article_server - INFO - [SQL数据] 查询结果: [{'id': 57, 'batch_id': 1766303956962118, 'enterprise_id': 1, 'product_id': 25, 'topic_type_id': 0, 'prompt_workflow_id': 25, 'topic': '前列腺增生必须做手术吗', 'title': '前列腺增生必须做手术吗', 'content': '前列腺增生必须做手术吗\n\n前列腺增生不一定要做手术。症状轻的话，用药物就能控制。只有症状严重、药物没效果时，才考虑手术。\n\n😃判断是否手术，先看症状。若尿频尿急不严重，夜尿次数少，不咋影响生活，就不用急着手术。反之，症状严重，就得重视。\n\n🤔除症状外，身体状况也重要。年纪大、有其他病的人，手术风险高，得谨慎。身体好、能耐受手术的人，可考虑手术治疗。\n\n前列腺增生是否手术要综合判断，别盲目选手术，也别拖着不治。\n\n', 'department': '', 'departmentids': '', 'author_id': 1, 'author_name': '小红书用户', 'department_id': 1, 'department_name': '雇员', 'created_user_id': 0, 'review_user_id': None, 'publish_user_id': 4, 'status': 'assign_authors', 'channel': 1, 'review_comment': None, 'publish_time': datetime.datetime(2025, 12, 21, 8, 32, 40), 'publish_link': '', 'baijiahao_id': None, 'baijiahao_status': None, 'word_count': 208, 'image_count': 3, 'coze_tag': '#前列腺增生# #手术选择# #症状判断# #身体状况# #治疗建议#', 'created_at': datetime.datetime(2025, 12, 21, 7, 59, 16), 'updated_at': datetime.datetime(2025, 12, 21, 8, 32, 40), 'product_name': '健康类自媒体', 'prompt_name': 'Inject基础提示词'}]
|
||
19:00:56 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:56 - article_server - INFO - [SQL语句]
|
||
SELECT id, image_id, image_url, image_thumb_url, image_tag_id,
|
||
sort_order, keywords_id, keywords_name, department_id,
|
||
department_name, image_source, created_at
|
||
FROM ai_article_images
|
||
WHERE article_id = %s
|
||
ORDER BY sort_order ASC, created_at ASC
|
||
|
||
19:00:56 - article_server - INFO - [SQL参数] (57,)
|
||
19:00:56 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:00:56 - article_server - INFO - [SQL数据] 查询结果: [{'id': 5, 'image_id': 26, 'image_url': '20251221/1766303729292188.png', 'image_thumb_url': '20251221/1766303729292188_thumb.png', 'image_tag_id': 0, 'sort_order': 1, 'keywords_id': 0, 'keywords_name': '', 'department_id': 0, 'department_name': '', 'image_source': 2, 'created_at': datetime.datetime(2025, 12, 21, 8, 32, 38)}, {'id': 6, 'image_id': 25, 'image_url': '20251221/1766303723871802.png', 'image_thumb_url': '20251221/1766303723871802_thumb.png', 'image_tag_id': 0, 'sort_order': 2, 'keywords_id': 0, 'keywords_name': '', 'department_id': 0, 'department_name': '', 'image_source': 2, 'created_at': datetime.datetime(2025, 12, 21, 8, 32, 38)}, {'id': 7, 'image_id': 31, 'image_url': '20251221/1766303882480682.png', 'image_thumb_url': '20251221/1766303882480682_thumb.png', 'image_tag_id': 0, 'sort_order': 3, 'keywords_id': 0, 'keywords_name': '', 'department_id': 0, 'department_name': '', 'image_source': 2, 'created_at': datetime.datetime(2025, 12, 21, 8, 32, 38)}]
|
||
19:00:57 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:57 - article_server - INFO - [SQL语句]
|
||
SELECT id, coze_tag, created_at
|
||
FROM ai_article_tags
|
||
WHERE article_id = %s
|
||
|
||
19:00:57 - article_server - INFO - [SQL参数] (57,)
|
||
19:00:57 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:00:57 - article_server - INFO - [SQL数据] 查询结果: [{'id': 15, 'coze_tag': '#前列腺增生# #手术选择# #症状判断# #身体状况# #治疗建议#', 'created_at': datetime.datetime(2025, 12, 21, 8, 32, 38)}]
|
||
19:00:57 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:00:57 - article_server - INFO - [SQL语句]
|
||
SELECT id, status, created_user_id, review_user_id, publish_user_id,
|
||
review_comment, publish_time, publish_link, word_count, image_count, created_at
|
||
FROM ai_article_published_records
|
||
WHERE article_id = %s
|
||
ORDER BY created_at DESC
|
||
|
||
19:00:57 - article_server - INFO - [SQL参数] (57,)
|
||
19:00:57 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:00:57 - article_server - INFO - 获取文章详情成功: ID 57
|
||
19:00:57 - article_server - INFO - [API响应] GET /api/articles/57 - IP: 104.244.91.212 - 状态码: 200
|
||
19:01:03 - article_server - INFO - [API访问] GET /api/dashboard/overview - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:01:03 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:01:03 - article_server - INFO - [API访问] GET /api/dashboard/hot-products - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:01:03 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:01:03 - article_server - INFO - [API访问] GET /api/dashboard/recent-publishes - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:01:03 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:01:03 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:03 - article_server - INFO - [SQL语句]
|
||
SELECT users_total, products_total, articles_total, published_total
|
||
FROM ai_enterprises
|
||
WHERE id = %s
|
||
|
||
19:01:03 - article_server - INFO - [SQL参数] (1,)
|
||
19:01:03 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:03 - article_server - INFO - [SQL语句]
|
||
SELECT r.product_id, p.name as product_name,
|
||
COUNT(*) as publishes,
|
||
ROUND(COUNT(*) * 100.0 / (SELECT COUNT(*) FROM ai_article_published_records WHERE enterprise_id = %s), 0) as percentage
|
||
FROM ai_article_published_records r
|
||
LEFT JOIN ai_products p ON r.product_id = p.id
|
||
WHERE r.enterprise_id = %s
|
||
GROUP BY r.product_id, p.name
|
||
ORDER BY publishes DESC
|
||
LIMIT %s
|
||
|
||
19:01:03 - article_server - INFO - [SQL参数] (1, 1, 4)
|
||
19:01:03 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:01:03 - article_server - INFO - [SQL数据] 查询结果: [{'users_total': 2, 'products_total': 2, 'articles_total': 40, 'published_total': 0}]
|
||
19:01:03 - article_server - INFO - [SQL结果] 查询完成，返回 4 条记录
|
||
19:01:03 - article_server - INFO - 获取热门产品成功
|
||
19:01:03 - article_server - INFO - [API响应] GET /api/dashboard/hot-products - IP: 104.244.91.212 - 状态码: 200
|
||
19:01:03 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:03 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(*) as month_published
|
||
FROM ai_article_published_records
|
||
WHERE enterprise_id = %s
|
||
AND YEAR(publish_time) = YEAR(CURDATE())
|
||
AND MONTH(publish_time) = MONTH(CURDATE())
|
||
|
||
19:01:03 - article_server - INFO - [SQL参数] (1,)
|
||
19:01:03 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:01:03 - article_server - INFO - [SQL数据] 查询结果: [{'month_published': 4}]
|
||
19:01:03 - article_server - INFO - 数据库连接成功，字符集设置完成
|
||
19:01:03 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:03 - article_server - INFO - [SQL语句]
|
||
SELECT r.id, r.publish_time,
|
||
u.real_name as employee_name,
|
||
p.name as product_name,
|
||
'success' as status
|
||
FROM ai_article_published_records r
|
||
LEFT JOIN ai_users u ON r.created_user_id = u.id
|
||
LEFT JOIN ai_products p ON r.product_id = p.id
|
||
WHERE r.enterprise_id = %s
|
||
ORDER BY r.publish_time DESC
|
||
LIMIT %s
|
||
|
||
19:01:03 - article_server - INFO - [SQL参数] (1, 5)
|
||
19:01:03 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:03 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(*) as last_month_published
|
||
FROM ai_article_published_records
|
||
WHERE enterprise_id = %s
|
||
AND YEAR(publish_time) = YEAR(DATE_SUB(CURDATE(), INTERVAL 1 MONTH))
|
||
AND MONTH(publish_time) = MONTH(DATE_SUB(CURDATE(), INTERVAL 1 MONTH))
|
||
|
||
19:01:03 - article_server - INFO - [SQL参数] (1,)
|
||
19:01:03 - article_server - INFO - [SQL结果] 查询完成，返回 4 条记录
|
||
19:01:03 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:01:03 - article_server - INFO - [SQL数据] 查询结果: [{'last_month_published': 0}]
|
||
19:01:03 - article_server - INFO - 获取最近发布成功
|
||
19:01:03 - article_server - INFO - [API响应] GET /api/dashboard/recent-publishes - IP: 104.244.91.212 - 状态码: 200
|
||
19:01:03 - article_server - INFO - 获取工作台概览成功
|
||
19:01:03 - article_server - INFO - [API响应] GET /api/dashboard/overview - IP: 104.244.91.212 - 状态码: 200
|
||
19:01:06 - article_server - INFO - [API访问] GET /api/prompts/tags/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:01:06 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:01:06 - article_server - INFO - [获取标签列表] 开始处理请求, IP: 104.244.91.212
|
||
19:01:06 - article_server - INFO - [获取标签列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:06 - article_server - INFO - [API访问] GET /api/prompts/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:01:06 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:01:06 - article_server - INFO - [获取提示词列表] 开始处理请求, IP: 104.244.91.212
|
||
19:01:06 - article_server - INFO - [获取提示词列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:06 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:06 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_prompt_tags WHERE enterprise_id = %s
|
||
19:01:06 - article_server - INFO - [SQL参数] [1]
|
||
19:01:06 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:01:06 - article_server - INFO - [SQL数据] 查询结果: [{'total': 2}]
|
||
19:01:06 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:06 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name, created_user_id, created_at, updated_at
|
||
FROM ai_prompt_tags
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:01:06 - article_server - INFO - [SQL参数] [1, 100, 0]
|
||
19:01:06 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:01:06 - article_server - INFO - [SQL数据] 查询结果: [{'id': 15, 'tag_name': '基础提示词', 'created_user_id': 4, 'created_at': datetime.datetime(2025, 12, 16, 14, 21, 32), 'updated_at': datetime.datetime(2025, 12, 16, 14, 21, 32)}, {'id': 14, 'tag_name': '去重', 'created_user_id': 4, 'created_at': datetime.datetime(2025, 12, 16, 14, 21, 32), 'updated_at': datetime.datetime(2025, 12, 16, 14, 21, 32)}]
|
||
19:01:06 - article_server - INFO - 数据库连接成功，字符集设置完成
|
||
19:01:06 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:06 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_prompt_workflow WHERE enterprise_id = %s
|
||
19:01:06 - article_server - INFO - [SQL参数] (1,)
|
||
19:01:06 - article_server - INFO - [获取标签列表] 查询成功, 总数: 2, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:06 - article_server - INFO - [API响应] GET /api/prompts/tags/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:01:06 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:01:06 - article_server - INFO - [SQL数据] 查询结果: [{'total': 3}]
|
||
19:01:06 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:06 - article_server - INFO - [SQL语句]
|
||
SELECT id, prompt_workflow_name, workflow_id, content, usage_count, created_at, updated_at
|
||
FROM ai_prompt_workflow
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:01:06 - article_server - INFO - [SQL参数] (1, 10, 0)
|
||
19:01:06 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:01:06 - article_server - INFO - [SQL数据] 查询结果: [{'id': 25, 'prompt_workflow_name': 'Inject基础提示词', 'workflow_id': '7576997068138659846', 'content': '你是一个健康类自媒体的编辑，每天需要撰写健康类内容。我将要给你一个topic，这个topic是一个问句。请你先产生一个段落的回复，然后再段展开回复。每个段落都需要用一个emoji开头。最后，请生成tag。段落与段落之间空一行，保证可读性。\n详细要求如下：\n一、核心要求：\n1.\t目标受众： 普通大众，非专业人士。务必：\n¡\t避免使用专业术语和书面化表达\n¡\t内容安全限制：\n\uf06e\t❌ 禁止提及任何人体私密部位或敏感功能\n\uf06e\t❌ 禁用可能引发恐慌的词汇（如"危险""致命"）\n2.\t内容核心： 围绕“主题”，聚焦病症、问题、危害或困扰， 解释原因、原理，介绍症状、类型，提供积极、实用的解决方案、改善建议或注意事项等有价值的内容均可。\n3.\t唯一性与实用性： 生成的内容需确保信息准确（基于常识）且每次生成的内容不应与历史输出重复（针对同一主题多次生成时）。\n二、内容结构及具体要求：\n\uf06c\t【首段提问】 (title)：\n¡\t对应内容为{{title}}\n\n\uf06c\t【次段简答】 (short-answer)：\n¡\t字数： 60-120字。 \n **内容要求**：\n 1. 第一句话必须直接回答{{title}}的提问，可以拓展1-2句话\n 2. 直接明晰，不要太笼统，禁止罗里吧嗦\n 3. 段前不要emoji表情符号\n \n **✅ 合格示例**：\n 发现HPV16或18阳性，这通常意味着宫颈癌筛查结果显示存在感染。接下来一般会建议做阴道镜检查，再根据检查的具体情况决定治疗方案。\n\n **❌ 不合格示例**：\n • 使用emoji开头\n • 没有直接回答问题\n • 过于笼统泛泛而谈 \n\n\uf06c\t【分段细答】 (contents)：\n¡\t数量要求：2-3段。\n¡\t字数要求： 60~100字/段。\n¡\t核心要求：\n\uf06e\t语言口语化、自然流畅。\n\uf06e\t段落内容必须围绕核心观点展开，根据不同情况分类详细阐述问题，可以是具体可行的建议（吃什么、做什么、注意什么等），疾病的科普（主要症状、影响、诱因等），或者其它逻辑合理的内容也可以。\n\uf06e\t内容有一定的逻辑，包括但不限于（首先、其次、最后），（第一，第二，第三），（不仅、而且、还有），（初级、中级、高级）。\n\uf06e\t每段内容均衡，不超过五句话，确保信息全面且易于消化。\n\uf06e\t分段细答部分应当是次段简答部分的延伸，但用词不能和次段简答部分有太多重复，请保持多样性。\n\uf06e\t 在生成回答前，必须执行以下创造性流程：\n\t\t结构性禁令（排除法）：行文结构不得是“定义→成因→症状→治疗”或“是什么→为什么→怎么办”及其任何变体。\n\t\t动态自我审视（核心步骤）：\n\t\t回顾：主动审视历史内容中，针对相同或相似主题已使用过的所有核心阐述逻辑。\n\t\t规避：明确禁止重复或小幅修改上述任何逻辑。\n\t\t创新：基于当前问题的具体内涵，生成一个在本质上全新的、服务于核心问题的最佳解释路径。该路径必须与所有已回顾的逻辑存在根本性差异。\n\t\t输出确认：最终采用的逻辑结构，应是本次对话上下文中一次独特的、未经使用的创造性表达形式。\n\n\uf06c\t【标签】 (tags)：\n¡\t**单个关键词字数：4-8个字。\n¡\t内容：* (1)根据正文内容，生成5个内容强相关tag； (2)标签格式:每个关键词前后都有# （例： #养生小知识# #中医养生##习惯养成# #健康养生#）\n三、变量输入：\n\uf06c\t主题： {{title}}\n四、最终安全规则：\n4.\t全篇禁止出现人体私密部位描述\n5.\t关键安全信息重复出现≥2次\n6.\t每句话≤20字，复合句用逗号分隔\n7、不能出现 "下面就给大家仔细说说"，“下面具体讲讲”，话术\n', 'usage_count': 29, 'created_at': datetime.datetime(2025, 12, 12, 20, 53, 9), 'updated_at': datetime.datetime(2025, 12, 21, 7, 59, 16)}, {'id': 14, 'prompt_workflow_name': '测试提示词', 'workflow_id': 'WF-CC8BB759', 'content': '这是一个测试提示词模板...', 'usage_count': 2, 'created_at': datetime.datetime(2025, 12, 12, 17, 41, 22), 'updated_at': datetime.datetime(2025, 12, 12, 17, 51, 54)}, {'id': 1, 'prompt_workflow_name': '种草分享型', 'workflow_id': 'WF-001', 'content': '你是一个小红书种草达人，请根据产品信息写一篇真实、有感染力的种草笔记...', 'usage_count': 0, 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 12, 16, 58, 22)}]
|
||
19:01:06 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:06 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:01:06 - article_server - INFO - [SQL参数] (25,)
|
||
19:01:06 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:01:06 - article_server - INFO - [SQL数据] 查询结果: [{'id': 14, 'tag_name': '去重'}, {'id': 15, 'tag_name': '基础提示词'}]
|
||
19:01:06 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:06 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:01:06 - article_server - INFO - [SQL参数] (14,)
|
||
19:01:06 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:01:07 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:07 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:01:07 - article_server - INFO - [SQL参数] (1,)
|
||
19:01:07 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:01:07 - article_server - INFO - [获取提示词列表] 查询成功, 总数: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:07 - article_server - INFO - [API响应] GET /api/prompts/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:01:31 - article_server - INFO - [API访问] GET /api/prompts/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:01:31 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:01:31 - article_server - INFO - [获取提示词列表] 开始处理请求, IP: 104.244.91.212
|
||
19:01:31 - article_server - INFO - [获取提示词列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:31 - article_server - INFO - [API访问] GET /api/prompts/tags/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:01:31 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:01:31 - article_server - INFO - [获取标签列表] 开始处理请求, IP: 104.244.91.212
|
||
19:01:31 - article_server - INFO - [获取标签列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:31 - article_server - INFO - [API访问] GET /api/users/info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:01:31 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:01:31 - article_server - INFO - [获取用户信息] 开始处理请求, IP: 104.244.91.212
|
||
19:01:31 - article_server - INFO - [获取用户信息] 用户ID: 3, action: , IP: 104.244.91.212
|
||
19:01:31 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:31 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_prompt_workflow WHERE enterprise_id = %s
|
||
19:01:31 - article_server - INFO - [SQL参数] (1,)
|
||
19:01:31 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:31 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_prompt_tags WHERE enterprise_id = %s
|
||
19:01:31 - article_server - INFO - [SQL参数] [1]
|
||
19:01:31 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:31 - article_server - INFO - [SQL语句]
|
||
SELECT id, enterprise_id, enterprise_name, username, real_name, email, phone,
|
||
wechat_openid, wechat_unionid,
|
||
is_bound_xhs, department, role, status, created_at, updated_at
|
||
FROM ai_users u
|
||
WHERE id = %s AND status != 'deleted'
|
||
|
||
19:01:31 - article_server - INFO - [SQL参数] (3,)
|
||
19:01:31 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:01:31 - article_server - INFO - [SQL数据] 查询结果: [{'total': 3}]
|
||
19:01:31 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:01:31 - article_server - INFO - [SQL数据] 查询结果: [{'total': 2}]
|
||
19:01:31 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:01:31 - article_server - INFO - [SQL数据] 查询结果: [{'id': 3, 'enterprise_id': 1, 'enterprise_name': '刘勇企业3号', 'username': 'user003', 'real_name': '刘勇', 'email': None, 'phone': '18211010472', 'wechat_openid': None, 'wechat_unionid': None, 'is_bound_xhs': 1, 'department': '市场部', 'role': 'admin', 'status': 'active', 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 21, 10, 43, 4)}]
|
||
19:01:31 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:31 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name, created_user_id, created_at, updated_at
|
||
FROM ai_prompt_tags
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:01:31 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:31 - article_server - INFO - [SQL参数] [1, 100, 0]
|
||
19:01:31 - article_server - INFO - [SQL语句]
|
||
SELECT id, prompt_workflow_name, workflow_id, content, usage_count, created_at, updated_at
|
||
FROM ai_prompt_workflow
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:01:31 - article_server - INFO - [SQL参数] (1, 10, 0)
|
||
19:01:31 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:01:31 - article_server - INFO - [SQL数据] 查询结果: [{'id': 15, 'tag_name': '基础提示词', 'created_user_id': 4, 'created_at': datetime.datetime(2025, 12, 16, 14, 21, 32), 'updated_at': datetime.datetime(2025, 12, 16, 14, 21, 32)}, {'id': 14, 'tag_name': '去重', 'created_user_id': 4, 'created_at': datetime.datetime(2025, 12, 16, 14, 21, 32), 'updated_at': datetime.datetime(2025, 12, 16, 14, 21, 32)}]
|
||
19:01:31 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:01:31 - article_server - INFO - [SQL数据] 查询结果: [{'id': 25, 'prompt_workflow_name': 'Inject基础提示词', 'workflow_id': '7576997068138659846', 'content': '你是一个健康类自媒体的编辑，每天需要撰写健康类内容。我将要给你一个topic，这个topic是一个问句。请你先产生一个段落的回复，然后再段展开回复。每个段落都需要用一个emoji开头。最后，请生成tag。段落与段落之间空一行，保证可读性。\n详细要求如下：\n一、核心要求：\n1.\t目标受众： 普通大众，非专业人士。务必：\n¡\t避免使用专业术语和书面化表达\n¡\t内容安全限制：\n\uf06e\t❌ 禁止提及任何人体私密部位或敏感功能\n\uf06e\t❌ 禁用可能引发恐慌的词汇（如"危险""致命"）\n2.\t内容核心： 围绕“主题”，聚焦病症、问题、危害或困扰， 解释原因、原理，介绍症状、类型，提供积极、实用的解决方案、改善建议或注意事项等有价值的内容均可。\n3.\t唯一性与实用性： 生成的内容需确保信息准确（基于常识）且每次生成的内容不应与历史输出重复（针对同一主题多次生成时）。\n二、内容结构及具体要求：\n\uf06c\t【首段提问】 (title)：\n¡\t对应内容为{{title}}\n\n\uf06c\t【次段简答】 (short-answer)：\n¡\t字数： 60-120字。 \n **内容要求**：\n 1. 第一句话必须直接回答{{title}}的提问，可以拓展1-2句话\n 2. 直接明晰，不要太笼统，禁止罗里吧嗦\n 3. 段前不要emoji表情符号\n \n **✅ 合格示例**：\n 发现HPV16或18阳性，这通常意味着宫颈癌筛查结果显示存在感染。接下来一般会建议做阴道镜检查，再根据检查的具体情况决定治疗方案。\n\n **❌ 不合格示例**：\n • 使用emoji开头\n • 没有直接回答问题\n • 过于笼统泛泛而谈 \n\n\uf06c\t【分段细答】 (contents)：\n¡\t数量要求：2-3段。\n¡\t字数要求： 60~100字/段。\n¡\t核心要求：\n\uf06e\t语言口语化、自然流畅。\n\uf06e\t段落内容必须围绕核心观点展开，根据不同情况分类详细阐述问题，可以是具体可行的建议（吃什么、做什么、注意什么等），疾病的科普（主要症状、影响、诱因等），或者其它逻辑合理的内容也可以。\n\uf06e\t内容有一定的逻辑，包括但不限于（首先、其次、最后），（第一，第二，第三），（不仅、而且、还有），（初级、中级、高级）。\n\uf06e\t每段内容均衡，不超过五句话，确保信息全面且易于消化。\n\uf06e\t分段细答部分应当是次段简答部分的延伸，但用词不能和次段简答部分有太多重复，请保持多样性。\n\uf06e\t 在生成回答前，必须执行以下创造性流程：\n\t\t结构性禁令（排除法）：行文结构不得是“定义→成因→症状→治疗”或“是什么→为什么→怎么办”及其任何变体。\n\t\t动态自我审视（核心步骤）：\n\t\t回顾：主动审视历史内容中，针对相同或相似主题已使用过的所有核心阐述逻辑。\n\t\t规避：明确禁止重复或小幅修改上述任何逻辑。\n\t\t创新：基于当前问题的具体内涵，生成一个在本质上全新的、服务于核心问题的最佳解释路径。该路径必须与所有已回顾的逻辑存在根本性差异。\n\t\t输出确认：最终采用的逻辑结构，应是本次对话上下文中一次独特的、未经使用的创造性表达形式。\n\n\uf06c\t【标签】 (tags)：\n¡\t**单个关键词字数：4-8个字。\n¡\t内容：* (1)根据正文内容，生成5个内容强相关tag； (2)标签格式:每个关键词前后都有# （例： #养生小知识# #中医养生##习惯养成# #健康养生#）\n三、变量输入：\n\uf06c\t主题： {{title}}\n四、最终安全规则：\n4.\t全篇禁止出现人体私密部位描述\n5.\t关键安全信息重复出现≥2次\n6.\t每句话≤20字，复合句用逗号分隔\n7、不能出现 "下面就给大家仔细说说"，“下面具体讲讲”，话术\n', 'usage_count': 29, 'created_at': datetime.datetime(2025, 12, 12, 20, 53, 9), 'updated_at': datetime.datetime(2025, 12, 21, 7, 59, 16)}, {'id': 14, 'prompt_workflow_name': '测试提示词', 'workflow_id': 'WF-CC8BB759', 'content': '这是一个测试提示词模板...', 'usage_count': 2, 'created_at': datetime.datetime(2025, 12, 12, 17, 41, 22), 'updated_at': datetime.datetime(2025, 12, 12, 17, 51, 54)}, {'id': 1, 'prompt_workflow_name': '种草分享型', 'workflow_id': 'WF-001', 'content': '你是一个小红书种草达人，请根据产品信息写一篇真实、有感染力的种草笔记...', 'usage_count': 0, 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 12, 16, 58, 22)}]
|
||
19:01:31 - article_server - INFO - [SQL执行] 开始执行插入SQL
|
||
19:01:31 - article_server - INFO - [SQL语句]
|
||
INSERT INTO ai_logs
|
||
(user_id, action, target_type, target_id, description,
|
||
ip_address, user_agent, request_data, response_data,
|
||
status, error_message, created_at)
|
||
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())
|
||
|
||
19:01:31 - article_server - INFO - [SQL参数] (3, 'get_user_info', 'user', 3, '查询用户信息: user003, action=', '104.244.91.212', 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36', None, None, 'success', None)
|
||
19:01:31 - article_server - INFO - [获取标签列表] 查询成功, 总数: 2, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:31 - article_server - INFO - [API响应] GET /api/prompts/tags/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:01:31 - article_server - INFO - [SQL结果] 插入完成，新记录ID: 63234
|
||
19:01:31 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:31 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:01:31 - article_server - INFO - [SQL参数] (25,)
|
||
19:01:31 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:01:31 - article_server - INFO - [SQL数据] 查询结果: [{'id': 14, 'tag_name': '去重'}, {'id': 15, 'tag_name': '基础提示词'}]
|
||
19:01:31 - article_server - INFO - [业务日志] 操作: get_user_info | 用户ID: 3 | 目标: user#3 | 状态: success | IP: 104.244.91.212 | 日志ID: 63234
|
||
19:01:31 - article_server - INFO - [API响应] GET /api/users/info - IP: 104.244.91.212 - 状态码: 200
|
||
19:01:31 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:31 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:01:31 - article_server - INFO - [SQL参数] (14,)
|
||
19:01:31 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:01:31 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:31 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:01:31 - article_server - INFO - [SQL参数] (1,)
|
||
19:01:31 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:01:31 - article_server - INFO - [获取提示词列表] 查询成功, 总数: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:31 - article_server - INFO - [API响应] GET /api/prompts/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:01:46 - article_server - INFO - [API访问] GET /api/users/info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:01:46 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:01:46 - article_server - INFO - [获取用户信息] 开始处理请求, IP: 104.244.91.212
|
||
19:01:46 - article_server - INFO - [API访问] GET /api/prompts/tags/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:01:46 - article_server - INFO - [获取用户信息] 用户ID: 3, action: , IP: 104.244.91.212
|
||
19:01:46 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:01:46 - article_server - INFO - [获取标签列表] 开始处理请求, IP: 104.244.91.212
|
||
19:01:46 - article_server - INFO - [获取标签列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:46 - article_server - INFO - [API访问] GET /api/prompts/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:01:46 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:01:46 - article_server - INFO - [获取提示词列表] 开始处理请求, IP: 104.244.91.212
|
||
19:01:46 - article_server - INFO - [获取提示词列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:46 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:46 - article_server - INFO - [SQL语句]
|
||
SELECT id, enterprise_id, enterprise_name, username, real_name, email, phone,
|
||
wechat_openid, wechat_unionid,
|
||
is_bound_xhs, department, role, status, created_at, updated_at
|
||
FROM ai_users u
|
||
WHERE id = %s AND status != 'deleted'
|
||
|
||
19:01:46 - article_server - INFO - [SQL参数] (3,)
|
||
19:01:46 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:46 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_prompt_workflow WHERE enterprise_id = %s
|
||
19:01:46 - article_server - INFO - [SQL参数] (1,)
|
||
19:01:46 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:46 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_prompt_tags WHERE enterprise_id = %s
|
||
19:01:46 - article_server - INFO - [SQL参数] [1]
|
||
19:01:46 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:01:46 - article_server - INFO - [SQL数据] 查询结果: [{'id': 3, 'enterprise_id': 1, 'enterprise_name': '刘勇企业3号', 'username': 'user003', 'real_name': '刘勇', 'email': None, 'phone': '18211010472', 'wechat_openid': None, 'wechat_unionid': None, 'is_bound_xhs': 1, 'department': '市场部', 'role': 'admin', 'status': 'active', 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 21, 10, 43, 4)}]
|
||
19:01:46 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:01:46 - article_server - INFO - [SQL数据] 查询结果: [{'total': 3}]
|
||
19:01:46 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:01:46 - article_server - INFO - [SQL数据] 查询结果: [{'total': 2}]
|
||
19:01:46 - article_server - INFO - [SQL执行] 开始执行插入SQL
|
||
19:01:46 - article_server - INFO - [SQL语句]
|
||
INSERT INTO ai_logs
|
||
(user_id, action, target_type, target_id, description,
|
||
ip_address, user_agent, request_data, response_data,
|
||
status, error_message, created_at)
|
||
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())
|
||
|
||
19:01:46 - article_server - INFO - [SQL参数] (3, 'get_user_info', 'user', 3, '查询用户信息: user003, action=', '104.244.91.212', 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36', None, None, 'success', None)
|
||
19:01:46 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:46 - article_server - INFO - [SQL语句]
|
||
SELECT id, prompt_workflow_name, workflow_id, content, usage_count, created_at, updated_at
|
||
FROM ai_prompt_workflow
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:01:46 - article_server - INFO - [SQL参数] (1, 10, 0)
|
||
19:01:46 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:01:46 - article_server - INFO - [SQL数据] 查询结果: [{'id': 25, 'prompt_workflow_name': 'Inject基础提示词', 'workflow_id': '7576997068138659846', 'content': '你是一个健康类自媒体的编辑，每天需要撰写健康类内容。我将要给你一个topic，这个topic是一个问句。请你先产生一个段落的回复，然后再段展开回复。每个段落都需要用一个emoji开头。最后，请生成tag。段落与段落之间空一行，保证可读性。\n详细要求如下：\n一、核心要求：\n1.\t目标受众： 普通大众，非专业人士。务必：\n¡\t避免使用专业术语和书面化表达\n¡\t内容安全限制：\n\uf06e\t❌ 禁止提及任何人体私密部位或敏感功能\n\uf06e\t❌ 禁用可能引发恐慌的词汇（如"危险""致命"）\n2.\t内容核心： 围绕“主题”，聚焦病症、问题、危害或困扰， 解释原因、原理，介绍症状、类型，提供积极、实用的解决方案、改善建议或注意事项等有价值的内容均可。\n3.\t唯一性与实用性： 生成的内容需确保信息准确（基于常识）且每次生成的内容不应与历史输出重复（针对同一主题多次生成时）。\n二、内容结构及具体要求：\n\uf06c\t【首段提问】 (title)：\n¡\t对应内容为{{title}}\n\n\uf06c\t【次段简答】 (short-answer)：\n¡\t字数： 60-120字。 \n **内容要求**：\n 1. 第一句话必须直接回答{{title}}的提问，可以拓展1-2句话\n 2. 直接明晰，不要太笼统，禁止罗里吧嗦\n 3. 段前不要emoji表情符号\n \n **✅ 合格示例**：\n 发现HPV16或18阳性，这通常意味着宫颈癌筛查结果显示存在感染。接下来一般会建议做阴道镜检查，再根据检查的具体情况决定治疗方案。\n\n **❌ 不合格示例**：\n • 使用emoji开头\n • 没有直接回答问题\n • 过于笼统泛泛而谈 \n\n\uf06c\t【分段细答】 (contents)：\n¡\t数量要求：2-3段。\n¡\t字数要求： 60~100字/段。\n¡\t核心要求：\n\uf06e\t语言口语化、自然流畅。\n\uf06e\t段落内容必须围绕核心观点展开，根据不同情况分类详细阐述问题，可以是具体可行的建议（吃什么、做什么、注意什么等），疾病的科普（主要症状、影响、诱因等），或者其它逻辑合理的内容也可以。\n\uf06e\t内容有一定的逻辑，包括但不限于（首先、其次、最后），（第一，第二，第三），（不仅、而且、还有），（初级、中级、高级）。\n\uf06e\t每段内容均衡，不超过五句话，确保信息全面且易于消化。\n\uf06e\t分段细答部分应当是次段简答部分的延伸，但用词不能和次段简答部分有太多重复，请保持多样性。\n\uf06e\t 在生成回答前，必须执行以下创造性流程：\n\t\t结构性禁令（排除法）：行文结构不得是“定义→成因→症状→治疗”或“是什么→为什么→怎么办”及其任何变体。\n\t\t动态自我审视（核心步骤）：\n\t\t回顾：主动审视历史内容中，针对相同或相似主题已使用过的所有核心阐述逻辑。\n\t\t规避：明确禁止重复或小幅修改上述任何逻辑。\n\t\t创新：基于当前问题的具体内涵，生成一个在本质上全新的、服务于核心问题的最佳解释路径。该路径必须与所有已回顾的逻辑存在根本性差异。\n\t\t输出确认：最终采用的逻辑结构，应是本次对话上下文中一次独特的、未经使用的创造性表达形式。\n\n\uf06c\t【标签】 (tags)：\n¡\t**单个关键词字数：4-8个字。\n¡\t内容：* (1)根据正文内容，生成5个内容强相关tag； (2)标签格式:每个关键词前后都有# （例： #养生小知识# #中医养生##习惯养成# #健康养生#）\n三、变量输入：\n\uf06c\t主题： {{title}}\n四、最终安全规则：\n4.\t全篇禁止出现人体私密部位描述\n5.\t关键安全信息重复出现≥2次\n6.\t每句话≤20字，复合句用逗号分隔\n7、不能出现 "下面就给大家仔细说说"，“下面具体讲讲”，话术\n', 'usage_count': 29, 'created_at': datetime.datetime(2025, 12, 12, 20, 53, 9), 'updated_at': datetime.datetime(2025, 12, 21, 7, 59, 16)}, {'id': 14, 'prompt_workflow_name': '测试提示词', 'workflow_id': 'WF-CC8BB759', 'content': '这是一个测试提示词模板...', 'usage_count': 2, 'created_at': datetime.datetime(2025, 12, 12, 17, 41, 22), 'updated_at': datetime.datetime(2025, 12, 12, 17, 51, 54)}, {'id': 1, 'prompt_workflow_name': '种草分享型', 'workflow_id': 'WF-001', 'content': '你是一个小红书种草达人，请根据产品信息写一篇真实、有感染力的种草笔记...', 'usage_count': 0, 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 12, 16, 58, 22)}]
|
||
19:01:46 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:46 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name, created_user_id, created_at, updated_at
|
||
FROM ai_prompt_tags
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:01:46 - article_server - INFO - [SQL参数] [1, 100, 0]
|
||
19:01:46 - article_server - INFO - [SQL结果] 插入完成，新记录ID: 63241
|
||
19:01:46 - article_server - INFO - [业务日志] 操作: get_user_info | 用户ID: 3 | 目标: user#3 | 状态: success | IP: 104.244.91.212 | 日志ID: 63241
|
||
19:01:46 - article_server - INFO - [API响应] GET /api/users/info - IP: 104.244.91.212 - 状态码: 200
|
||
19:01:46 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:01:46 - article_server - INFO - [SQL数据] 查询结果: [{'id': 15, 'tag_name': '基础提示词', 'created_user_id': 4, 'created_at': datetime.datetime(2025, 12, 16, 14, 21, 32), 'updated_at': datetime.datetime(2025, 12, 16, 14, 21, 32)}, {'id': 14, 'tag_name': '去重', 'created_user_id': 4, 'created_at': datetime.datetime(2025, 12, 16, 14, 21, 32), 'updated_at': datetime.datetime(2025, 12, 16, 14, 21, 32)}]
|
||
19:01:46 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:46 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:01:46 - article_server - INFO - [SQL参数] (25,)
|
||
19:01:46 - article_server - INFO - [获取标签列表] 查询成功, 总数: 2, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:46 - article_server - INFO - [API响应] GET /api/prompts/tags/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:01:46 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:01:46 - article_server - INFO - [SQL数据] 查询结果: [{'id': 14, 'tag_name': '去重'}, {'id': 15, 'tag_name': '基础提示词'}]
|
||
19:01:46 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:46 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:01:46 - article_server - INFO - [SQL参数] (14,)
|
||
19:01:46 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:01:46 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:46 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:01:46 - article_server - INFO - [SQL参数] (1,)
|
||
19:01:46 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:01:46 - article_server - INFO - [获取提示词列表] 查询成功, 总数: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:46 - article_server - INFO - [API响应] GET /api/prompts/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:01:52 - article_server - INFO - [API访问] DELETE /api/prompts/14 - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:01:52 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:01:52 - article_server - INFO - [删除提示词] 开始处理请求, ID: 14, IP: 104.244.91.212
|
||
19:01:52 - article_server - INFO - [删除提示词] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:52 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:52 - article_server - INFO - [SQL语句] SELECT id, prompt_workflow_name FROM ai_prompt_workflow WHERE id = %s AND enterprise_id = %s
|
||
19:01:52 - article_server - INFO - [SQL参数] (14, 1)
|
||
19:01:52 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:01:52 - article_server - INFO - [SQL数据] 查询结果: [{'id': 14, 'prompt_workflow_name': '测试提示词'}]
|
||
19:01:52 - article_server - INFO - [SQL执行] 开始执行更新SQL
|
||
19:01:52 - article_server - INFO - [SQL语句] DELETE FROM ai_prompt_tags_relation WHERE prompt_workflow_id = %s
|
||
19:01:52 - article_server - INFO - [SQL参数] (14,)
|
||
19:01:52 - article_server - INFO - [SQL结果] 更新完成，影响 0 行
|
||
19:01:52 - article_server - INFO - [SQL执行] 开始执行更新SQL
|
||
19:01:52 - article_server - INFO - [SQL语句] DELETE FROM ai_prompt_workflow WHERE id = %s
|
||
19:01:52 - article_server - INFO - [SQL参数] (14,)
|
||
19:01:52 - article_server - INFO - [SQL结果] 更新完成，影响 1 行
|
||
19:01:52 - article_server - INFO - [SQL执行] 开始执行插入SQL
|
||
19:01:52 - article_server - INFO - [SQL语句]
|
||
INSERT INTO ai_logs
|
||
(user_id, action, target_type, target_id, description,
|
||
ip_address, user_agent, request_data, response_data,
|
||
status, error_message, created_at)
|
||
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())
|
||
|
||
19:01:52 - article_server - INFO - [SQL参数] (3, 'delete_prompt_workflow', 'prompt_workflow', 14, '删除提示词: 测试提示词', '104.244.91.212', 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36', None, None, 'success', None)
|
||
19:01:52 - article_server - INFO - [SQL结果] 插入完成，新记录ID: 63244
|
||
19:01:53 - article_server - INFO - [业务日志] 操作: delete_prompt_workflow | 用户ID: 3 | 目标: prompt_workflow#14 | 状态: success | IP: 104.244.91.212 | 日志ID: 63244
|
||
19:01:53 - article_server - INFO - [删除提示词] 删除成功, ID: 14, 名称: 测试提示词, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:53 - article_server - INFO - [API响应] DELETE /api/prompts/14 - IP: 104.244.91.212 - 状态码: 200
|
||
19:01:53 - article_server - INFO - [API访问] GET /api/prompts/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:01:53 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:01:53 - article_server - INFO - [获取提示词列表] 开始处理请求, IP: 104.244.91.212
|
||
19:01:53 - article_server - INFO - [获取提示词列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:53 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:53 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_prompt_workflow WHERE enterprise_id = %s
|
||
19:01:53 - article_server - INFO - [SQL参数] (1,)
|
||
19:01:53 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:01:53 - article_server - INFO - [SQL数据] 查询结果: [{'total': 2}]
|
||
19:01:53 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:53 - article_server - INFO - [SQL语句]
|
||
SELECT id, prompt_workflow_name, workflow_id, content, usage_count, created_at, updated_at
|
||
FROM ai_prompt_workflow
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:01:53 - article_server - INFO - [SQL参数] (1, 10, 0)
|
||
19:01:53 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:01:53 - article_server - INFO - [SQL数据] 查询结果: [{'id': 25, 'prompt_workflow_name': 'Inject基础提示词', 'workflow_id': '7576997068138659846', 'content': '你是一个健康类自媒体的编辑，每天需要撰写健康类内容。我将要给你一个topic，这个topic是一个问句。请你先产生一个段落的回复，然后再段展开回复。每个段落都需要用一个emoji开头。最后，请生成tag。段落与段落之间空一行，保证可读性。\n详细要求如下：\n一、核心要求：\n1.\t目标受众： 普通大众，非专业人士。务必：\n¡\t避免使用专业术语和书面化表达\n¡\t内容安全限制：\n\uf06e\t❌ 禁止提及任何人体私密部位或敏感功能\n\uf06e\t❌ 禁用可能引发恐慌的词汇（如"危险""致命"）\n2.\t内容核心： 围绕“主题”，聚焦病症、问题、危害或困扰， 解释原因、原理，介绍症状、类型，提供积极、实用的解决方案、改善建议或注意事项等有价值的内容均可。\n3.\t唯一性与实用性： 生成的内容需确保信息准确（基于常识）且每次生成的内容不应与历史输出重复（针对同一主题多次生成时）。\n二、内容结构及具体要求：\n\uf06c\t【首段提问】 (title)：\n¡\t对应内容为{{title}}\n\n\uf06c\t【次段简答】 (short-answer)：\n¡\t字数： 60-120字。 \n **内容要求**：\n 1. 第一句话必须直接回答{{title}}的提问，可以拓展1-2句话\n 2. 直接明晰，不要太笼统，禁止罗里吧嗦\n 3. 段前不要emoji表情符号\n \n **✅ 合格示例**：\n 发现HPV16或18阳性，这通常意味着宫颈癌筛查结果显示存在感染。接下来一般会建议做阴道镜检查，再根据检查的具体情况决定治疗方案。\n\n **❌ 不合格示例**：\n • 使用emoji开头\n • 没有直接回答问题\n • 过于笼统泛泛而谈 \n\n\uf06c\t【分段细答】 (contents)：\n¡\t数量要求：2-3段。\n¡\t字数要求： 60~100字/段。\n¡\t核心要求：\n\uf06e\t语言口语化、自然流畅。\n\uf06e\t段落内容必须围绕核心观点展开，根据不同情况分类详细阐述问题，可以是具体可行的建议（吃什么、做什么、注意什么等），疾病的科普（主要症状、影响、诱因等），或者其它逻辑合理的内容也可以。\n\uf06e\t内容有一定的逻辑，包括但不限于（首先、其次、最后），（第一，第二，第三），（不仅、而且、还有），（初级、中级、高级）。\n\uf06e\t每段内容均衡，不超过五句话，确保信息全面且易于消化。\n\uf06e\t分段细答部分应当是次段简答部分的延伸，但用词不能和次段简答部分有太多重复，请保持多样性。\n\uf06e\t 在生成回答前，必须执行以下创造性流程：\n\t\t结构性禁令（排除法）：行文结构不得是“定义→成因→症状→治疗”或“是什么→为什么→怎么办”及其任何变体。\n\t\t动态自我审视（核心步骤）：\n\t\t回顾：主动审视历史内容中，针对相同或相似主题已使用过的所有核心阐述逻辑。\n\t\t规避：明确禁止重复或小幅修改上述任何逻辑。\n\t\t创新：基于当前问题的具体内涵，生成一个在本质上全新的、服务于核心问题的最佳解释路径。该路径必须与所有已回顾的逻辑存在根本性差异。\n\t\t输出确认：最终采用的逻辑结构，应是本次对话上下文中一次独特的、未经使用的创造性表达形式。\n\n\uf06c\t【标签】 (tags)：\n¡\t**单个关键词字数：4-8个字。\n¡\t内容：* (1)根据正文内容，生成5个内容强相关tag； (2)标签格式:每个关键词前后都有# （例： #养生小知识# #中医养生##习惯养成# #健康养生#）\n三、变量输入：\n\uf06c\t主题： {{title}}\n四、最终安全规则：\n4.\t全篇禁止出现人体私密部位描述\n5.\t关键安全信息重复出现≥2次\n6.\t每句话≤20字，复合句用逗号分隔\n7、不能出现 "下面就给大家仔细说说"，“下面具体讲讲”，话术\n', 'usage_count': 29, 'created_at': datetime.datetime(2025, 12, 12, 20, 53, 9), 'updated_at': datetime.datetime(2025, 12, 21, 7, 59, 16)}, {'id': 1, 'prompt_workflow_name': '种草分享型', 'workflow_id': 'WF-001', 'content': '你是一个小红书种草达人，请根据产品信息写一篇真实、有感染力的种草笔记...', 'usage_count': 0, 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 12, 16, 58, 22)}]
|
||
19:01:53 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:53 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:01:53 - article_server - INFO - [SQL参数] (25,)
|
||
19:01:53 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:01:53 - article_server - INFO - [SQL数据] 查询结果: [{'id': 14, 'tag_name': '去重'}, {'id': 15, 'tag_name': '基础提示词'}]
|
||
19:01:53 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:01:53 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:01:53 - article_server - INFO - [SQL参数] (1,)
|
||
19:01:53 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:01:53 - article_server - INFO - [获取提示词列表] 查询成功, 总数: 2, 企业ID: 1, IP: 104.244.91.212
|
||
19:01:53 - article_server - INFO - [API响应] GET /api/prompts/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:00 - article_server - INFO - [API访问] GET /api/articles/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:00 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:00 - article_server - INFO - [获取文章列表] 开始处理请求, IP: 104.244.91.212
|
||
19:02:00 - article_server - INFO - [获取文章列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:00 - article_server - INFO - [获取文章列表] 查询参数: page=1, pageSize=10, keyword=, product_id=, status=, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:00 - article_server - INFO - [API访问] GET /api/products/list_info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:00 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:00 - article_server - INFO - [获取产品列表简化版] 开始处理请求, IP: 104.244.91.212
|
||
19:02:00 - article_server - INFO - [获取产品列表简化版] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:00 - article_server - INFO - [API访问] GET /api/articles/list_dashboard - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:00 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:00 - article_server - INFO - [文章仪表盘] 开始处理请求, IP: 104.244.91.212
|
||
19:02:00 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:00 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(*) as total
|
||
FROM ai_articles
|
||
WHERE enterprise_id = %s
|
||
|
||
19:02:00 - article_server - INFO - [SQL参数] [1]
|
||
19:02:00 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:00 - article_server - INFO - [SQL语句]
|
||
SELECT id, name, status, created_at, updated_at
|
||
FROM ai_products
|
||
WHERE enterprise_id = %s AND status IN ('draft', 'active')
|
||
ORDER BY created_at DESC
|
||
|
||
19:02:00 - article_server - INFO - [SQL参数] (1,)
|
||
19:02:00 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:00 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(id) as total
|
||
FROM ai_articles
|
||
WHERE enterprise_id = %s
|
||
|
||
19:02:00 - article_server - INFO - [SQL参数] (1,)
|
||
19:02:00 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:00 - article_server - INFO - [SQL数据] 查询结果: [{'total': 40}]
|
||
19:02:00 - article_server - INFO - [SQL结果] 查询完成，返回 5 条记录
|
||
19:02:00 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:00 - article_server - INFO - [SQL数据] 查询结果: [{'total': 40}]
|
||
19:02:00 - article_server - INFO - [获取产品列表简化版] 查询成功, 返回数量: 5, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:00 - article_server - INFO - [API响应] GET /api/products/list_info - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:00 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:00 - article_server - INFO - [SQL语句]
|
||
SELECT id, batch_id, enterprise_id, product_id, product_name, topic_type_id,
|
||
prompt_workflow_id, prompt_workflow_name, topic, title, context_summary, department,
|
||
departmentids, author_id, author_name, department_id, department_name,
|
||
created_user_id, review_user_id, publish_user_id, status, channel,
|
||
review_comment, publish_time, publish_link, baijiahao_id, baijiahao_status,
|
||
word_count, image_count, coze_tag, created_at, updated_at,
|
||
product_name as product_name,
|
||
prompt_workflow_name as prompt_name
|
||
FROM ai_articles
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:02:00 - article_server - INFO - [SQL参数] [1, 10, 0]
|
||
19:02:00 - article_server - INFO - [SQL结果] 查询完成，返回 10 条记录
|
||
19:02:00 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:00 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(id) as total
|
||
FROM ai_articles
|
||
WHERE enterprise_id = %s AND status = 'published_review'
|
||
|
||
19:02:00 - article_server - INFO - [SQL参数] (1,)
|
||
19:02:00 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:00 - article_server - INFO - [SQL数据] 查询结果: [{'total': 0}]
|
||
19:02:00 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:00 - article_server - INFO - [SQL语句]
|
||
SELECT id, article_id, image_id, image_url, image_thumb_url, image_tag_id,
|
||
sort_order, keywords_id, keywords_name, department_id,
|
||
department_name, image_source, created_at
|
||
FROM ai_article_images
|
||
WHERE article_id IN (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)
|
||
ORDER BY article_id, sort_order ASC, created_at ASC
|
||
|
||
19:02:00 - article_server - INFO - [SQL参数] [57, 58, 59, 54, 55, 56, 51, 52, 53, 48]
|
||
19:02:00 - article_server - INFO - [SQL结果] 查询完成，返回 7 条记录
|
||
19:02:00 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:00 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(id) as total
|
||
FROM ai_articles
|
||
WHERE enterprise_id = %s AND status = 'published'
|
||
|
||
19:02:00 - article_server - INFO - [SQL参数] (1,)
|
||
19:02:00 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:00 - article_server - INFO - [SQL语句]
|
||
SELECT id, article_id, coze_tag, created_at
|
||
FROM ai_article_tags
|
||
WHERE article_id IN (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)
|
||
|
||
19:02:00 - article_server - INFO - [SQL参数] [57, 58, 59, 54, 55, 56, 51, 52, 53, 48]
|
||
19:02:00 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:00 - article_server - INFO - [SQL数据] 查询结果: [{'total': 0}]
|
||
19:02:01 - article_server - INFO - [SQL结果] 查询完成，返回 10 条记录
|
||
19:02:01 - article_server - INFO - [文章仪表盘] 查询成功, 企业ID: 1, 总数: 40, 可发: 0, 已发: 0, IP: 104.244.91.212
|
||
19:02:01 - article_server - INFO - [API响应] GET /api/articles/list_dashboard - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:01 - article_server - INFO - [获取文章列表] 查询成功, 总数: 40, 当前页: 1, 每页: 10, 返回数量: 10, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:01 - article_server - INFO - [API响应] GET /api/articles/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:01 - article_server - INFO - [API访问] GET /api/prompts/list_info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:01 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:01 - article_server - INFO - [获取提示词列表简化版] 开始处理请求, IP: 104.244.91.212
|
||
19:02:01 - article_server - INFO - [获取提示词列表简化版] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:01 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:01 - article_server - INFO - [SQL语句]
|
||
SELECT id, prompt_workflow_name, created_at, updated_at
|
||
FROM ai_prompt_workflow
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
|
||
19:02:01 - article_server - INFO - [SQL参数] (1,)
|
||
19:02:01 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:02:01 - article_server - INFO - [SQL数据] 查询结果: [{'id': 25, 'prompt_workflow_name': 'Inject基础提示词', 'created_at': datetime.datetime(2025, 12, 12, 20, 53, 9), 'updated_at': datetime.datetime(2025, 12, 21, 7, 59, 16)}, {'id': 1, 'prompt_workflow_name': '种草分享型', 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 12, 16, 58, 22)}]
|
||
19:02:01 - article_server - INFO - [获取提示词列表简化版] 查询成功, 返回数量: 2, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:01 - article_server - INFO - [API响应] GET /api/prompts/list_info - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:09 - article_server - INFO - [API访问] GET /api/prompts/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:09 - article_server - INFO - [API访问] GET /api/prompts/tags/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:09 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:09 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:09 - article_server - INFO - [获取标签列表] 开始处理请求, IP: 104.244.91.212
|
||
19:02:09 - article_server - INFO - [获取提示词列表] 开始处理请求, IP: 104.244.91.212
|
||
19:02:09 - article_server - INFO - [获取标签列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:09 - article_server - INFO - [获取提示词列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:09 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:09 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_prompt_tags WHERE enterprise_id = %s
|
||
19:02:09 - article_server - INFO - [SQL参数] [1]
|
||
19:02:09 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:09 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_prompt_workflow WHERE enterprise_id = %s
|
||
19:02:09 - article_server - INFO - [SQL参数] (1,)
|
||
19:02:10 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:10 - article_server - INFO - [SQL数据] 查询结果: [{'total': 2}]
|
||
19:02:10 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:10 - article_server - INFO - [SQL数据] 查询结果: [{'total': 2}]
|
||
19:02:10 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:10 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name, created_user_id, created_at, updated_at
|
||
FROM ai_prompt_tags
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:02:10 - article_server - INFO - [SQL参数] [1, 100, 0]
|
||
19:02:10 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:02:10 - article_server - INFO - [SQL数据] 查询结果: [{'id': 15, 'tag_name': '基础提示词', 'created_user_id': 4, 'created_at': datetime.datetime(2025, 12, 16, 14, 21, 32), 'updated_at': datetime.datetime(2025, 12, 16, 14, 21, 32)}, {'id': 14, 'tag_name': '去重', 'created_user_id': 4, 'created_at': datetime.datetime(2025, 12, 16, 14, 21, 32), 'updated_at': datetime.datetime(2025, 12, 16, 14, 21, 32)}]
|
||
19:02:10 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:10 - article_server - INFO - [SQL语句]
|
||
SELECT id, prompt_workflow_name, workflow_id, content, usage_count, created_at, updated_at
|
||
FROM ai_prompt_workflow
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:02:10 - article_server - INFO - [SQL参数] (1, 10, 0)
|
||
19:02:10 - article_server - INFO - [获取标签列表] 查询成功, 总数: 2, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:10 - article_server - INFO - [API响应] GET /api/prompts/tags/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:10 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:02:10 - article_server - INFO - [SQL数据] 查询结果: [{'id': 25, 'prompt_workflow_name': 'Inject基础提示词', 'workflow_id': '7576997068138659846', 'content': '你是一个健康类自媒体的编辑，每天需要撰写健康类内容。我将要给你一个topic，这个topic是一个问句。请你先产生一个段落的回复，然后再段展开回复。每个段落都需要用一个emoji开头。最后，请生成tag。段落与段落之间空一行，保证可读性。\n详细要求如下：\n一、核心要求：\n1.\t目标受众： 普通大众，非专业人士。务必：\n¡\t避免使用专业术语和书面化表达\n¡\t内容安全限制：\n\uf06e\t❌ 禁止提及任何人体私密部位或敏感功能\n\uf06e\t❌ 禁用可能引发恐慌的词汇（如"危险""致命"）\n2.\t内容核心： 围绕“主题”，聚焦病症、问题、危害或困扰， 解释原因、原理，介绍症状、类型，提供积极、实用的解决方案、改善建议或注意事项等有价值的内容均可。\n3.\t唯一性与实用性： 生成的内容需确保信息准确（基于常识）且每次生成的内容不应与历史输出重复（针对同一主题多次生成时）。\n二、内容结构及具体要求：\n\uf06c\t【首段提问】 (title)：\n¡\t对应内容为{{title}}\n\n\uf06c\t【次段简答】 (short-answer)：\n¡\t字数： 60-120字。 \n **内容要求**：\n 1. 第一句话必须直接回答{{title}}的提问，可以拓展1-2句话\n 2. 直接明晰，不要太笼统，禁止罗里吧嗦\n 3. 段前不要emoji表情符号\n \n **✅ 合格示例**：\n 发现HPV16或18阳性，这通常意味着宫颈癌筛查结果显示存在感染。接下来一般会建议做阴道镜检查，再根据检查的具体情况决定治疗方案。\n\n **❌ 不合格示例**：\n • 使用emoji开头\n • 没有直接回答问题\n • 过于笼统泛泛而谈 \n\n\uf06c\t【分段细答】 (contents)：\n¡\t数量要求：2-3段。\n¡\t字数要求： 60~100字/段。\n¡\t核心要求：\n\uf06e\t语言口语化、自然流畅。\n\uf06e\t段落内容必须围绕核心观点展开，根据不同情况分类详细阐述问题，可以是具体可行的建议（吃什么、做什么、注意什么等），疾病的科普（主要症状、影响、诱因等），或者其它逻辑合理的内容也可以。\n\uf06e\t内容有一定的逻辑，包括但不限于（首先、其次、最后），（第一，第二，第三），（不仅、而且、还有），（初级、中级、高级）。\n\uf06e\t每段内容均衡，不超过五句话，确保信息全面且易于消化。\n\uf06e\t分段细答部分应当是次段简答部分的延伸，但用词不能和次段简答部分有太多重复，请保持多样性。\n\uf06e\t 在生成回答前，必须执行以下创造性流程：\n\t\t结构性禁令（排除法）：行文结构不得是“定义→成因→症状→治疗”或“是什么→为什么→怎么办”及其任何变体。\n\t\t动态自我审视（核心步骤）：\n\t\t回顾：主动审视历史内容中，针对相同或相似主题已使用过的所有核心阐述逻辑。\n\t\t规避：明确禁止重复或小幅修改上述任何逻辑。\n\t\t创新：基于当前问题的具体内涵，生成一个在本质上全新的、服务于核心问题的最佳解释路径。该路径必须与所有已回顾的逻辑存在根本性差异。\n\t\t输出确认：最终采用的逻辑结构，应是本次对话上下文中一次独特的、未经使用的创造性表达形式。\n\n\uf06c\t【标签】 (tags)：\n¡\t**单个关键词字数：4-8个字。\n¡\t内容：* (1)根据正文内容，生成5个内容强相关tag； (2)标签格式:每个关键词前后都有# （例： #养生小知识# #中医养生##习惯养成# #健康养生#）\n三、变量输入：\n\uf06c\t主题： {{title}}\n四、最终安全规则：\n4.\t全篇禁止出现人体私密部位描述\n5.\t关键安全信息重复出现≥2次\n6.\t每句话≤20字，复合句用逗号分隔\n7、不能出现 "下面就给大家仔细说说"，“下面具体讲讲”，话术\n', 'usage_count': 29, 'created_at': datetime.datetime(2025, 12, 12, 20, 53, 9), 'updated_at': datetime.datetime(2025, 12, 21, 7, 59, 16)}, {'id': 1, 'prompt_workflow_name': '种草分享型', 'workflow_id': 'WF-001', 'content': '你是一个小红书种草达人，请根据产品信息写一篇真实、有感染力的种草笔记...', 'usage_count': 0, 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 12, 16, 58, 22)}]
|
||
19:02:10 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:10 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:02:10 - article_server - INFO - [SQL参数] (25,)
|
||
19:02:10 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:02:10 - article_server - INFO - [SQL数据] 查询结果: [{'id': 14, 'tag_name': '去重'}, {'id': 15, 'tag_name': '基础提示词'}]
|
||
19:02:10 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:10 - article_server - INFO - [SQL语句]
|
||
SELECT t.id, t.tag_name
|
||
FROM ai_prompt_tags t
|
||
INNER JOIN ai_prompt_tags_relation r ON t.id = r.tag_id
|
||
WHERE r.prompt_workflow_id = %s
|
||
|
||
19:02:10 - article_server - INFO - [SQL参数] (1,)
|
||
19:02:10 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:02:10 - article_server - INFO - [获取提示词列表] 查询成功, 总数: 2, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:10 - article_server - INFO - [API响应] GET /api/prompts/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:12 - article_server - INFO - [API访问] GET /api/images/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:12 - article_server - INFO - [API访问] GET /api/products/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:12 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:12 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:12 - article_server - INFO - [获取产品列表] 开始处理请求, IP: 104.244.91.212
|
||
19:02:12 - article_server - INFO - [获取产品列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:12 - article_server - INFO - [获取产品列表] 查询参数: page=1, pageSize=100, keyword=, type=, status=, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:12 - article_server - INFO - [API访问] GET /api/images/list_dashboard - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:12 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:12 - article_server - INFO - [API访问] GET /api/images/types/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:12 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:12 - article_server - INFO - [获取图片类型列表] current_user: {'user_id': 3, 'username': '18211010472', 'role': 'admin', 'enterprise_id': 1, 'exp': 1766401123, 'iat': 1766314723}, enterprise_id: 1
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_products WHERE enterprise_id = %s AND status != 'deleted'
|
||
19:02:12 - article_server - INFO - [SQL参数] [1]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(id) as total
|
||
FROM ai_images
|
||
WHERE enterprise_id = %s AND status = 'active'
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [1]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(*) as total
|
||
FROM ai_images
|
||
WHERE enterprise_id = %s AND status = %s
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [1, 'active']
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_image_type WHERE enterprise_id = %s
|
||
19:02:12 - article_server - INFO - [SQL参数] [1]
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:12 - article_server - INFO - [SQL数据] 查询结果: [{'total': 5}]
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:12 - article_server - INFO - [SQL数据] 查询结果: [{'total': 8}]
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:12 - article_server - INFO - [SQL数据] 查询结果: [{'total': 8}]
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:12 - article_server - INFO - [SQL数据] 查询结果: [{'total': 10}]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT p.id, p.name, p.type_name, p.knowledge, p.status,
|
||
p.articles_total, p.published_total,
|
||
p.image_url, p.image_thumbnail_url,
|
||
p.created_at, p.updated_at
|
||
FROM ai_products p
|
||
WHERE enterprise_id = %s AND status != 'deleted'
|
||
ORDER BY p.created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [1, 100, 0]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(id) as total
|
||
FROM ai_images
|
||
WHERE enterprise_id = %s AND status = 'active' AND product_id > 0
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [1]
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 5 条记录
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT id, product_id, product_name, image_name, image_url, image_thumb_url, thumbnail_url,
|
||
image_type_id, image_type_name, department, keywords,
|
||
size_type, file_size, width, height, status,
|
||
created_at, updated_at
|
||
FROM ai_images
|
||
WHERE enterprise_id = %s AND status = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [1, 'active', 10, 0]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT id, enterprise_id, type_name, keywords_id, keywords_name,
|
||
department_id, department_name, created_user_id, created_at, updated_at
|
||
FROM ai_image_type
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [1, 100, 0]
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:12 - article_server - INFO - [SQL数据] 查询结果: [{'total': 8}]
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 8 条记录
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 10 条记录
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] (25,)
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(DISTINCT product_id) as total
|
||
FROM ai_images
|
||
WHERE enterprise_id = %s AND status = 'active' AND product_id > 0
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [1]
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:02:12 - article_server - INFO - [API响应] GET /api/images/types/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:12 - article_server - INFO - [SQL数据] 查询结果: [{'total': 2}]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [31, 1]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] (13,)
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:02:12 - article_server - INFO - [SQL数据] 查询结果: [{'tag_id': 9, 'tag_name': '1111111'}, {'tag_id': 10, 'tag_name': '222222222'}, {'tag_id': 11, 'tag_name': '33333333'}]
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(id) as total
|
||
FROM ai_images
|
||
WHERE enterprise_id = %s AND status = 'active'
|
||
AND image_type_name LIKE %s
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [1, '%场景%']
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:12 - article_server - INFO - [SQL数据] 查询结果: [{'total': 0}]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [30, 1]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] (12,)
|
||
19:02:12 - article_server - INFO - 获取图片库仪表盘数据成功，企业ID: 1
|
||
19:02:12 - article_server - INFO - [API响应] GET /api/images/list_dashboard - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:02:12 - article_server - INFO - [SQL数据] 查询结果: [{'tag_id': 9, 'tag_name': '1111111'}, {'tag_id': 10, 'tag_name': '222222222'}, {'tag_id': 11, 'tag_name': '33333333'}]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] (11,)
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [29, 1]
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:02:12 - article_server - INFO - [SQL数据] 查询结果: [{'tag_id': 9, 'tag_name': '1111111'}, {'tag_id': 10, 'tag_name': '222222222'}, {'tag_id': 11, 'tag_name': '33333333'}]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] (1,)
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:12 - article_server - INFO - [SQL数据] 查询结果: [{'id': 1, 'tag_name': '保湿'}]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [28, 1]
|
||
19:02:12 - article_server - INFO - [获取产品列表] 查询成功, 总数: 5, 当前页: 1, 每页: 100, 返回数量: 5, 企业ID: 1, IP: 104.244.91.212
|
||
19:02:12 - article_server - INFO - [API响应] GET /api/products/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:02:12 - article_server - INFO - [SQL数据] 查询结果: [{'tag_id': 9, 'tag_name': '1111111'}, {'tag_id': 10, 'tag_name': '222222222'}, {'tag_id': 11, 'tag_name': '33333333'}]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [27, 1]
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 3 条记录
|
||
19:02:12 - article_server - INFO - [SQL数据] 查询结果: [{'tag_id': 9, 'tag_name': '1111111'}, {'tag_id': 10, 'tag_name': '222222222'}, {'tag_id': 11, 'tag_name': '33333333'}]
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [26, 1]
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 4 条记录
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [25, 1]
|
||
19:02:12 - article_server - INFO - [SQL结果] 查询完成，返回 4 条记录
|
||
19:02:12 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:12 - article_server - INFO - [SQL语句]
|
||
SELECT tag_id, tag_name
|
||
FROM ai_image_tags
|
||
WHERE image_id = %s AND enterprise_id = %s
|
||
ORDER BY created_at
|
||
|
||
19:02:12 - article_server - INFO - [SQL参数] [24, 1]
|
||
19:02:13 - article_server - INFO - [SQL结果] 查询完成，返回 2 条记录
|
||
19:02:13 - article_server - INFO - [SQL数据] 查询结果: [{'tag_id': 3, 'tag_name': '产品（4）'}, {'tag_id': 4, 'tag_name': '产品（4）3'}]
|
||
19:02:13 - article_server - INFO - 获取图片列表成功，总数: 8
|
||
19:02:13 - article_server - INFO - [API响应] GET /api/images/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:17 - article_server - INFO - [API访问] GET /api/employees/stats - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:17 - article_server - INFO - [API访问] GET /api/employees/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:17 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:17 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:17 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:17 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_users u WHERE u.enterprise_id = %s AND u.status != 'deleted'
|
||
19:02:17 - article_server - INFO - [SQL参数] [1]
|
||
19:02:17 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:17 - article_server - INFO - [SQL语句]
|
||
SELECT
|
||
COUNT(*) as total_count,
|
||
SUM(CASE WHEN status = 'active' THEN 1 ELSE 0 END) as active_count,
|
||
SUM(CASE WHEN is_bound_xhs = 1 THEN 1 ELSE 0 END) as bound_xhs_count
|
||
FROM ai_users
|
||
WHERE enterprise_id = %s AND status != 'deleted'
|
||
|
||
19:02:17 - article_server - INFO - [SQL参数] (1,)
|
||
19:02:17 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:17 - article_server - INFO - [SQL数据] 查询结果: [{'total': 6}]
|
||
19:02:17 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:17 - article_server - INFO - [SQL数据] 查询结果: [{'total_count': 6, 'active_count': Decimal('6'), 'bound_xhs_count': Decimal('3')}]
|
||
19:02:17 - article_server - INFO - 获取员工统计成功
|
||
19:02:17 - article_server - INFO - [API响应] GET /api/employees/stats - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:17 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:17 - article_server - INFO - [SQL语句]
|
||
SELECT u.id, u.enterprise_id, u.real_name as name, u.username, u.phone, u.role, u.department,
|
||
u.is_bound_xhs, a.xhs_account, u.status, u.created_at, u.updated_at
|
||
FROM ai_users u
|
||
LEFT JOIN ai_authors a ON u.id = a.created_user_id AND a.status = 'active'
|
||
WHERE u.enterprise_id = %s AND u.status != 'deleted'
|
||
ORDER BY u.created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:02:17 - article_server - INFO - [SQL参数] [1, 10, 0]
|
||
19:02:17 - article_server - INFO - [SQL结果] 查询完成，返回 6 条记录
|
||
19:02:17 - article_server - INFO - 获取员工列表成功，总数: 6
|
||
19:02:17 - article_server - INFO - [API响应] GET /api/employees/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:43 - article_server - INFO - [API访问] GET /api/employees/stats - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:43 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:43 - article_server - INFO - [API访问] GET /api/employees/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:43 - article_server - INFO - [API访问] GET /api/users/info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:43 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:43 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:43 - article_server - INFO - [获取用户信息] 开始处理请求, IP: 104.244.91.212
|
||
19:02:43 - article_server - INFO - [获取用户信息] 用户ID: 3, action: , IP: 104.244.91.212
|
||
19:02:43 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:43 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_users u WHERE u.enterprise_id = %s AND u.status != 'deleted'
|
||
19:02:43 - article_server - INFO - [SQL参数] [1]
|
||
19:02:43 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:43 - article_server - INFO - [SQL语句]
|
||
SELECT id, enterprise_id, enterprise_name, username, real_name, email, phone,
|
||
wechat_openid, wechat_unionid,
|
||
is_bound_xhs, department, role, status, created_at, updated_at
|
||
FROM ai_users u
|
||
WHERE id = %s AND status != 'deleted'
|
||
|
||
19:02:43 - article_server - INFO - [SQL参数] (3,)
|
||
19:02:43 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:43 - article_server - INFO - [SQL语句]
|
||
SELECT
|
||
COUNT(*) as total_count,
|
||
SUM(CASE WHEN status = 'active' THEN 1 ELSE 0 END) as active_count,
|
||
SUM(CASE WHEN is_bound_xhs = 1 THEN 1 ELSE 0 END) as bound_xhs_count
|
||
FROM ai_users
|
||
WHERE enterprise_id = %s AND status != 'deleted'
|
||
|
||
19:02:43 - article_server - INFO - [SQL参数] (1,)
|
||
19:02:43 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:43 - article_server - INFO - [SQL数据] 查询结果: [{'total': 6}]
|
||
19:02:43 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:43 - article_server - INFO - [SQL数据] 查询结果: [{'id': 3, 'enterprise_id': 1, 'enterprise_name': '刘勇企业3号', 'username': 'user003', 'real_name': '刘勇', 'email': None, 'phone': '18211010472', 'wechat_openid': None, 'wechat_unionid': None, 'is_bound_xhs': 1, 'department': '市场部', 'role': 'admin', 'status': 'active', 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 21, 10, 43, 4)}]
|
||
19:02:43 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:02:43 - article_server - INFO - [SQL数据] 查询结果: [{'total_count': 6, 'active_count': Decimal('6'), 'bound_xhs_count': Decimal('3')}]
|
||
19:02:43 - article_server - INFO - 获取员工统计成功
|
||
19:02:43 - article_server - INFO - [API响应] GET /api/employees/stats - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:43 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:02:43 - article_server - INFO - [SQL语句]
|
||
SELECT u.id, u.enterprise_id, u.real_name as name, u.username, u.phone, u.role, u.department,
|
||
u.is_bound_xhs, a.xhs_account, u.status, u.created_at, u.updated_at
|
||
FROM ai_users u
|
||
LEFT JOIN ai_authors a ON u.id = a.created_user_id AND a.status = 'active'
|
||
WHERE u.enterprise_id = %s AND u.status != 'deleted'
|
||
ORDER BY u.created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:02:43 - article_server - INFO - [SQL参数] [1, 10, 0]
|
||
19:02:43 - article_server - INFO - [SQL执行] 开始执行插入SQL
|
||
19:02:43 - article_server - INFO - [SQL语句]
|
||
INSERT INTO ai_logs
|
||
(user_id, action, target_type, target_id, description,
|
||
ip_address, user_agent, request_data, response_data,
|
||
status, error_message, created_at)
|
||
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())
|
||
|
||
19:02:43 - article_server - INFO - [SQL参数] (3, 'get_user_info', 'user', 3, '查询用户信息: user003, action=', '104.244.91.212', 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36', None, None, 'success', None)
|
||
19:02:43 - article_server - INFO - [SQL结果] 查询完成，返回 6 条记录
|
||
19:02:43 - article_server - INFO - [SQL结果] 插入完成，新记录ID: 63265
|
||
19:02:43 - article_server - INFO - 获取员工列表成功，总数: 6
|
||
19:02:43 - article_server - INFO - [API响应] GET /api/employees/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:43 - article_server - INFO - [业务日志] 操作: get_user_info | 用户ID: 3 | 目标: user#3 | 状态: success | IP: 104.244.91.212 | 日志ID: 63265
|
||
19:02:43 - article_server - INFO - [API响应] GET /api/users/info - IP: 104.244.91.212 - 状态码: 200
|
||
19:02:53 - article_server - INFO - [API访问] DELETE /api/employees/21 - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:02:53 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:02:53 - article_server - WARNING - [权限检查失败] 用户角色 admin 不在允许的角色 ('enterprise',) 中
|
||
19:02:53 - article_server - INFO - [API响应] DELETE /api/employees/21 - IP: 104.244.91.212 - 状态码: 403
|
||
19:03:06 - article_server - INFO - [API访问] POST /api/auth/login - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:03:06 - article_server - INFO - [用户登录] 开始处理登录请求, IP: 104.244.91.212
|
||
19:03:06 - article_server - INFO - [用户登录] 收到登录请求, 账号: 18211010472, IP: 104.244.91.212
|
||
19:03:06 - article_server - INFO - [用户登录] 开始在ai_users表查询用户, 账号: 18211010472
|
||
19:03:06 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:06 - article_server - INFO - [SQL语句]
|
||
SELECT u.id, u.enterprise_id, u.enterprise_name, u.username, u.phone, u.password,
|
||
u.real_name, u.role, u.status, u.is_bound_xhs, a.xhs_account
|
||
FROM ai_users u
|
||
LEFT JOIN ai_authors a ON u.id = a.created_user_id AND a.status = 'active'
|
||
WHERE (u.phone = %s OR u.username = %s) AND u.status = 'active'
|
||
|
||
19:03:06 - article_server - INFO - [SQL参数] ('18211010472', '18211010472')
|
||
19:03:06 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:03:06 - article_server - INFO - [SQL数据] 查询结果: [{'id': 3, 'enterprise_id': 1, 'enterprise_name': '刘勇企业3号', 'username': 'user003', 'phone': '18211010472', 'password': '240be518fabd2724ddb6f04eeb1da5967448d7e831c08c8fa822809f74c720a9', 'real_name': '刘勇', 'role': 'admin', 'status': 'active', 'is_bound_xhs': 1, 'xhs_account': None}]
|
||
19:03:06 - article_server - INFO - [用户登录] 查询到用户信息, 用户名: user003, 角色: admin, 企业: 刘勇企业3号, 企业ID: 1
|
||
19:03:06 - article_server - INFO - [用户登录] 开始验证密码, 账号: 18211010472
|
||
19:03:06 - article_server - INFO - [用户登录] 密码验证成功, 用户名: user003, 角色: admin
|
||
19:03:06 - article_server - INFO - [用户登录] 开始生成token, 用户ID: 3, 角色: admin
|
||
19:03:06 - article_server - INFO - [Token生成] 用户: 18211010472, ID: 3, 角色: admin
|
||
19:03:06 - article_server - INFO - [用户登录成功] Token生成成功, 用户: user003, 角色: admin, 企业: 刘勇企业3号, IP: 104.244.91.212
|
||
19:03:06 - article_server - INFO - [API响应] POST /api/auth/login - IP: 104.244.91.212 - 状态码: 200
|
||
19:03:07 - article_server - INFO - [API访问] GET /api/users/info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:03:07 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:03:07 - article_server - INFO - [获取用户信息] 开始处理请求, IP: 104.244.91.212
|
||
19:03:07 - article_server - INFO - [获取用户信息] 用户ID: 3, action: , IP: 104.244.91.212
|
||
19:03:07 - article_server - INFO - [API访问] GET /api/dashboard/recent-publishes - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:03:07 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:03:07 - article_server - INFO - [API访问] GET /api/dashboard/overview - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:03:07 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:03:07 - article_server - INFO - [API访问] GET /api/dashboard/hot-products - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:03:07 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:03:07 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:07 - article_server - INFO - [SQL语句]
|
||
SELECT id, enterprise_id, enterprise_name, username, real_name, email, phone,
|
||
wechat_openid, wechat_unionid,
|
||
is_bound_xhs, department, role, status, created_at, updated_at
|
||
FROM ai_users u
|
||
WHERE id = %s AND status != 'deleted'
|
||
|
||
19:03:07 - article_server - INFO - [SQL参数] (3,)
|
||
19:03:07 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:07 - article_server - INFO - [SQL语句]
|
||
SELECT r.product_id, p.name as product_name,
|
||
COUNT(*) as publishes,
|
||
ROUND(COUNT(*) * 100.0 / (SELECT COUNT(*) FROM ai_article_published_records WHERE enterprise_id = %s), 0) as percentage
|
||
FROM ai_article_published_records r
|
||
LEFT JOIN ai_products p ON r.product_id = p.id
|
||
WHERE r.enterprise_id = %s
|
||
GROUP BY r.product_id, p.name
|
||
ORDER BY publishes DESC
|
||
LIMIT %s
|
||
|
||
19:03:07 - article_server - INFO - [SQL参数] (1, 1, 4)
|
||
19:03:07 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:07 - article_server - INFO - [SQL语句]
|
||
SELECT users_total, products_total, articles_total, published_total
|
||
FROM ai_enterprises
|
||
WHERE id = %s
|
||
|
||
19:03:07 - article_server - INFO - [SQL参数] (1,)
|
||
19:03:07 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:07 - article_server - INFO - [SQL语句]
|
||
SELECT r.id, r.publish_time,
|
||
u.real_name as employee_name,
|
||
p.name as product_name,
|
||
'success' as status
|
||
FROM ai_article_published_records r
|
||
LEFT JOIN ai_users u ON r.created_user_id = u.id
|
||
LEFT JOIN ai_products p ON r.product_id = p.id
|
||
WHERE r.enterprise_id = %s
|
||
ORDER BY r.publish_time DESC
|
||
LIMIT %s
|
||
|
||
19:03:07 - article_server - INFO - [SQL参数] (1, 5)
|
||
19:03:07 - article_server - INFO - [SQL结果] 查询完成，返回 4 条记录
|
||
19:03:07 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:03:07 - article_server - INFO - [SQL数据] 查询结果: [{'id': 3, 'enterprise_id': 1, 'enterprise_name': '刘勇企业3号', 'username': 'user003', 'real_name': '刘勇', 'email': None, 'phone': '18211010472', 'wechat_openid': None, 'wechat_unionid': None, 'is_bound_xhs': 1, 'department': '市场部', 'role': 'admin', 'status': 'active', 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 21, 10, 43, 4)}]
|
||
19:03:07 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:03:07 - article_server - INFO - [SQL数据] 查询结果: [{'users_total': 2, 'products_total': 2, 'articles_total': 40, 'published_total': 0}]
|
||
19:03:07 - article_server - INFO - [SQL结果] 查询完成，返回 4 条记录
|
||
19:03:07 - article_server - INFO - 获取热门产品成功
|
||
19:03:07 - article_server - INFO - [API响应] GET /api/dashboard/hot-products - IP: 104.244.91.212 - 状态码: 200
|
||
19:03:07 - article_server - INFO - 获取最近发布成功
|
||
19:03:07 - article_server - INFO - [API响应] GET /api/dashboard/recent-publishes - IP: 104.244.91.212 - 状态码: 200
|
||
19:03:07 - article_server - INFO - [SQL执行] 开始执行插入SQL
|
||
19:03:07 - article_server - INFO - [SQL语句]
|
||
INSERT INTO ai_logs
|
||
(user_id, action, target_type, target_id, description,
|
||
ip_address, user_agent, request_data, response_data,
|
||
status, error_message, created_at)
|
||
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())
|
||
|
||
19:03:07 - article_server - INFO - [SQL参数] (3, 'get_user_info', 'user', 3, '查询用户信息: user003, action=', '104.244.91.212', 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36', None, None, 'success', None)
|
||
19:03:07 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:07 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(*) as month_published
|
||
FROM ai_article_published_records
|
||
WHERE enterprise_id = %s
|
||
AND YEAR(publish_time) = YEAR(CURDATE())
|
||
AND MONTH(publish_time) = MONTH(CURDATE())
|
||
|
||
19:03:07 - article_server - INFO - [SQL参数] (1,)
|
||
19:03:07 - article_server - INFO - [SQL结果] 插入完成，新记录ID: 63274
|
||
19:03:07 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:03:07 - article_server - INFO - [SQL数据] 查询结果: [{'month_published': 4}]
|
||
19:03:07 - article_server - INFO - [业务日志] 操作: get_user_info | 用户ID: 3 | 目标: user#3 | 状态: success | IP: 104.244.91.212 | 日志ID: 63274
|
||
19:03:07 - article_server - INFO - [API响应] GET /api/users/info - IP: 104.244.91.212 - 状态码: 200
|
||
19:03:07 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:07 - article_server - INFO - [SQL语句]
|
||
SELECT COUNT(*) as last_month_published
|
||
FROM ai_article_published_records
|
||
WHERE enterprise_id = %s
|
||
AND YEAR(publish_time) = YEAR(DATE_SUB(CURDATE(), INTERVAL 1 MONTH))
|
||
AND MONTH(publish_time) = MONTH(DATE_SUB(CURDATE(), INTERVAL 1 MONTH))
|
||
|
||
19:03:07 - article_server - INFO - [SQL参数] (1,)
|
||
19:03:07 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:03:07 - article_server - INFO - [SQL数据] 查询结果: [{'last_month_published': 0}]
|
||
19:03:07 - article_server - INFO - 获取工作台概览成功
|
||
19:03:07 - article_server - INFO - [API响应] GET /api/dashboard/overview - IP: 104.244.91.212 - 状态码: 200
|
||
19:03:10 - article_server - INFO - [API访问] GET /api/products/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:03:10 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:03:10 - article_server - INFO - [获取产品列表] 开始处理请求, IP: 104.244.91.212
|
||
19:03:10 - article_server - INFO - [获取产品列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:03:10 - article_server - INFO - [API访问] GET /api/products/types/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:03:10 - article_server - INFO - [获取产品列表] 查询参数: page=1, pageSize=12, keyword=, type=, status=, 企业ID: 1, IP: 104.244.91.212
|
||
19:03:10 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:03:10 - article_server - INFO - [获取企业产品类型列表] 开始处理请求, IP: 104.244.91.212
|
||
19:03:10 - article_server - INFO - [获取企业产品类型列表] 企业ID: 1, IP: 104.244.91.212
|
||
19:03:10 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:10 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_product_types WHERE enterprise_id = %s
|
||
19:03:10 - article_server - INFO - [SQL参数] [1]
|
||
19:03:10 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:10 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_products WHERE enterprise_id = %s AND status != 'deleted'
|
||
19:03:10 - article_server - INFO - [SQL参数] [1]
|
||
19:03:10 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:03:10 - article_server - INFO - [SQL数据] 查询结果: [{'total': 0}]
|
||
19:03:10 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:03:10 - article_server - INFO - [SQL数据] 查询结果: [{'total': 5}]
|
||
19:03:10 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:10 - article_server - INFO - [SQL语句]
|
||
SELECT id, type_name, enterprise_id, product_id, created_at
|
||
FROM ai_product_types
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:03:10 - article_server - INFO - [SQL参数] [1, 100, 0]
|
||
19:03:10 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:10 - article_server - INFO - [SQL语句]
|
||
SELECT p.id, p.name, p.type_name, p.knowledge, p.status,
|
||
p.articles_total, p.published_total,
|
||
p.image_url, p.image_thumbnail_url,
|
||
p.created_at, p.updated_at
|
||
FROM ai_products p
|
||
WHERE enterprise_id = %s AND status != 'deleted'
|
||
ORDER BY p.created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:03:10 - article_server - INFO - [SQL参数] [1, 12, 0]
|
||
19:03:10 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:03:10 - article_server - INFO - [SQL结果] 查询完成，返回 5 条记录
|
||
19:03:10 - article_server - INFO - [获取企业产品类型列表] 查询成功, 企业ID: 1, 总数: 0, 返回: 0, IP: 104.244.91.212
|
||
19:03:10 - article_server - INFO - [API响应] GET /api/products/types/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:03:10 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:10 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:03:10 - article_server - INFO - [SQL参数] (25,)
|
||
19:03:10 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:03:10 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:10 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:03:10 - article_server - INFO - [SQL参数] (13,)
|
||
19:03:10 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:03:10 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:10 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:03:10 - article_server - INFO - [SQL参数] (12,)
|
||
19:03:10 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:03:11 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:11 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:03:11 - article_server - INFO - [SQL参数] (11,)
|
||
19:03:11 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:03:11 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:11 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:03:11 - article_server - INFO - [SQL参数] (1,)
|
||
19:03:11 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:03:11 - article_server - INFO - [SQL数据] 查询结果: [{'id': 1, 'tag_name': '保湿'}]
|
||
19:03:11 - article_server - INFO - [获取产品列表] 查询成功, 总数: 5, 当前页: 1, 每页: 12, 返回数量: 5, 企业ID: 1, IP: 104.244.91.212
|
||
19:03:11 - article_server - INFO - [API响应] GET /api/products/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:03:11 - article_server - INFO - [API访问] GET /api/employees/stats - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:03:11 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:03:11 - article_server - INFO - [API访问] GET /api/employees/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:03:11 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:03:11 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:11 - article_server - INFO - [SQL语句]
|
||
SELECT
|
||
COUNT(*) as total_count,
|
||
SUM(CASE WHEN status = 'active' THEN 1 ELSE 0 END) as active_count,
|
||
SUM(CASE WHEN is_bound_xhs = 1 THEN 1 ELSE 0 END) as bound_xhs_count
|
||
FROM ai_users
|
||
WHERE enterprise_id = %s AND status != 'deleted'
|
||
|
||
19:03:11 - article_server - INFO - [SQL参数] (1,)
|
||
19:03:11 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:11 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_users u WHERE u.enterprise_id = %s AND u.status != 'deleted'
|
||
19:03:11 - article_server - INFO - [SQL参数] [1]
|
||
19:03:11 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:03:11 - article_server - INFO - [SQL数据] 查询结果: [{'total_count': 6, 'active_count': Decimal('6'), 'bound_xhs_count': Decimal('3')}]
|
||
19:03:11 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:03:11 - article_server - INFO - [SQL数据] 查询结果: [{'total': 6}]
|
||
19:03:11 - article_server - INFO - 获取员工统计成功
|
||
19:03:11 - article_server - INFO - [API响应] GET /api/employees/stats - IP: 104.244.91.212 - 状态码: 200
|
||
19:03:11 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:11 - article_server - INFO - [SQL语句]
|
||
SELECT u.id, u.enterprise_id, u.real_name as name, u.username, u.phone, u.role, u.department,
|
||
u.is_bound_xhs, a.xhs_account, u.status, u.created_at, u.updated_at
|
||
FROM ai_users u
|
||
LEFT JOIN ai_authors a ON u.id = a.created_user_id AND a.status = 'active'
|
||
WHERE u.enterprise_id = %s AND u.status != 'deleted'
|
||
ORDER BY u.created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:03:11 - article_server - INFO - [SQL参数] [1, 10, 0]
|
||
19:03:11 - article_server - INFO - [SQL结果] 查询完成，返回 6 条记录
|
||
19:03:11 - article_server - INFO - 获取员工列表成功，总数: 6
|
||
19:03:11 - article_server - INFO - [API响应] GET /api/employees/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:03:47 - article_server - INFO - [API访问] GET /api/employees/stats - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:03:47 - article_server - INFO - [API访问] GET /api/users/info - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:03:47 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:03:47 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:03:47 - article_server - INFO - [获取用户信息] 开始处理请求, IP: 104.244.91.212
|
||
19:03:47 - article_server - INFO - [获取用户信息] 用户ID: 3, action: , IP: 104.244.91.212
|
||
19:03:47 - article_server - INFO - [API访问] GET /api/employees/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:03:47 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:03:48 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:48 - article_server - INFO - [SQL语句]
|
||
SELECT
|
||
COUNT(*) as total_count,
|
||
SUM(CASE WHEN status = 'active' THEN 1 ELSE 0 END) as active_count,
|
||
SUM(CASE WHEN is_bound_xhs = 1 THEN 1 ELSE 0 END) as bound_xhs_count
|
||
FROM ai_users
|
||
WHERE enterprise_id = %s AND status != 'deleted'
|
||
|
||
19:03:48 - article_server - INFO - [SQL参数] (1,)
|
||
19:03:48 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:48 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_users u WHERE u.enterprise_id = %s AND u.status != 'deleted'
|
||
19:03:48 - article_server - INFO - [SQL参数] [1]
|
||
19:03:48 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:48 - article_server - INFO - [SQL语句]
|
||
SELECT id, enterprise_id, enterprise_name, username, real_name, email, phone,
|
||
wechat_openid, wechat_unionid,
|
||
is_bound_xhs, department, role, status, created_at, updated_at
|
||
FROM ai_users u
|
||
WHERE id = %s AND status != 'deleted'
|
||
|
||
19:03:48 - article_server - INFO - [SQL参数] (3,)
|
||
19:03:48 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:03:48 - article_server - INFO - [SQL数据] 查询结果: [{'total_count': 6, 'active_count': Decimal('6'), 'bound_xhs_count': Decimal('3')}]
|
||
19:03:48 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:03:48 - article_server - INFO - [SQL数据] 查询结果: [{'total': 6}]
|
||
19:03:48 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:03:48 - article_server - INFO - [SQL数据] 查询结果: [{'id': 3, 'enterprise_id': 1, 'enterprise_name': '刘勇企业3号', 'username': 'user003', 'real_name': '刘勇', 'email': None, 'phone': '18211010472', 'wechat_openid': None, 'wechat_unionid': None, 'is_bound_xhs': 1, 'department': '市场部', 'role': 'admin', 'status': 'active', 'created_at': datetime.datetime(2025, 12, 12, 16, 58, 22), 'updated_at': datetime.datetime(2025, 12, 21, 10, 43, 4)}]
|
||
19:03:48 - article_server - INFO - 获取员工统计成功
|
||
19:03:48 - article_server - INFO - [API响应] GET /api/employees/stats - IP: 104.244.91.212 - 状态码: 200
|
||
19:03:48 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:03:48 - article_server - INFO - [SQL语句]
|
||
SELECT u.id, u.enterprise_id, u.real_name as name, u.username, u.phone, u.role, u.department,
|
||
u.is_bound_xhs, a.xhs_account, u.status, u.created_at, u.updated_at
|
||
FROM ai_users u
|
||
LEFT JOIN ai_authors a ON u.id = a.created_user_id AND a.status = 'active'
|
||
WHERE u.enterprise_id = %s AND u.status != 'deleted'
|
||
ORDER BY u.created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:03:48 - article_server - INFO - [SQL参数] [1, 10, 0]
|
||
19:03:48 - article_server - INFO - [SQL结果] 查询完成，返回 6 条记录
|
||
19:03:48 - article_server - INFO - [SQL执行] 开始执行插入SQL
|
||
19:03:48 - article_server - INFO - [SQL语句]
|
||
INSERT INTO ai_logs
|
||
(user_id, action, target_type, target_id, description,
|
||
ip_address, user_agent, request_data, response_data,
|
||
status, error_message, created_at)
|
||
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW())
|
||
|
||
19:03:48 - article_server - INFO - [SQL参数] (3, 'get_user_info', 'user', 3, '查询用户信息: user003, action=', '104.244.91.212', 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36', None, None, 'success', None)
|
||
19:03:48 - article_server - INFO - 获取员工列表成功，总数: 6
|
||
19:03:48 - article_server - INFO - [API响应] GET /api/employees/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:03:48 - article_server - INFO - [SQL结果] 插入完成，新记录ID: 63291
|
||
19:03:48 - article_server - INFO - [业务日志] 操作: get_user_info | 用户ID: 3 | 目标: user#3 | 状态: success | IP: 104.244.91.212 | 日志ID: 63291
|
||
19:03:48 - article_server - INFO - [API响应] GET /api/users/info - IP: 104.244.91.212 - 状态码: 200
|
||
19:07:30 - article_server - INFO - [API访问] GET /api/products/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:07:30 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:07:30 - article_server - INFO - [获取产品列表] 开始处理请求, IP: 104.244.91.212
|
||
19:07:30 - article_server - INFO - [获取产品列表] 用户信息 - 用户ID: 3, 企业ID: 1, IP: 104.244.91.212
|
||
19:07:30 - article_server - INFO - [获取产品列表] 查询参数: page=1, pageSize=12, keyword=, type=, status=, 企业ID: 1, IP: 104.244.91.212
|
||
19:07:30 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:07:30 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_products WHERE enterprise_id = %s AND status != 'deleted'
|
||
19:07:30 - article_server - INFO - [SQL参数] [1]
|
||
19:07:30 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:07:30 - article_server - INFO - [SQL数据] 查询结果: [{'total': 5}]
|
||
19:07:30 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:07:30 - article_server - INFO - [SQL语句]
|
||
SELECT p.id, p.name, p.type_name, p.knowledge, p.status,
|
||
p.articles_total, p.published_total,
|
||
p.image_url, p.image_thumbnail_url,
|
||
p.created_at, p.updated_at
|
||
FROM ai_products p
|
||
WHERE enterprise_id = %s AND status != 'deleted'
|
||
ORDER BY p.created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:07:30 - article_server - INFO - [SQL参数] [1, 12, 0]
|
||
19:07:30 - article_server - INFO - [SQL结果] 查询完成，返回 5 条记录
|
||
19:07:30 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:07:30 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:07:30 - article_server - INFO - [SQL参数] (25,)
|
||
19:07:30 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:07:30 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:07:30 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:07:30 - article_server - INFO - [SQL参数] (13,)
|
||
19:07:30 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:07:30 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:07:30 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:07:30 - article_server - INFO - [SQL参数] (12,)
|
||
19:07:30 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:07:30 - article_server - INFO - [API访问] GET /api/products/types/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:07:30 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:07:30 - article_server - INFO - [获取企业产品类型列表] 开始处理请求, IP: 104.244.91.212
|
||
19:07:30 - article_server - INFO - [获取企业产品类型列表] 企业ID: 1, IP: 104.244.91.212
|
||
19:07:30 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:07:30 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:07:30 - article_server - INFO - [SQL参数] (11,)
|
||
19:07:30 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:07:30 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_product_types WHERE enterprise_id = %s
|
||
19:07:30 - article_server - INFO - [SQL参数] [1]
|
||
19:07:30 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:07:30 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:07:30 - article_server - INFO - [SQL数据] 查询结果: [{'total': 0}]
|
||
19:07:30 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:07:30 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:07:30 - article_server - INFO - [SQL语句]
|
||
SELECT id, type_name, enterprise_id, product_id, created_at
|
||
FROM ai_product_types
|
||
WHERE enterprise_id = %s
|
||
ORDER BY created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:07:30 - article_server - INFO - [SQL语句]
|
||
SELECT id, tag_name
|
||
FROM ai_product_tags
|
||
WHERE product_id = %s
|
||
|
||
19:07:30 - article_server - INFO - [SQL参数] [1, 100, 0]
|
||
19:07:30 - article_server - INFO - [SQL参数] (1,)
|
||
19:07:30 - article_server - INFO - [SQL结果] 查询完成，返回 0 条记录
|
||
19:07:30 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:07:30 - article_server - INFO - [SQL数据] 查询结果: [{'id': 1, 'tag_name': '保湿'}]
|
||
19:07:30 - article_server - INFO - [获取企业产品类型列表] 查询成功, 企业ID: 1, 总数: 0, 返回: 0, IP: 104.244.91.212
|
||
19:07:30 - article_server - INFO - [API响应] GET /api/products/types/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:07:30 - article_server - INFO - [获取产品列表] 查询成功, 总数: 5, 当前页: 1, 每页: 12, 返回数量: 5, 企业ID: 1, IP: 104.244.91.212
|
||
19:07:30 - article_server - INFO - [API响应] GET /api/products/list - IP: 104.244.91.212 - 状态码: 200
|
||
19:07:31 - article_server - INFO - [API访问] GET /api/employees/list - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:07:31 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:07:31 - article_server - INFO - [API访问] GET /api/employees/stats - IP: 104.244.91.212 - User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Sa
|
||
19:07:31 - article_server - INFO - [Token验证成功] 用户ID: 3
|
||
19:07:31 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:07:31 - article_server - INFO - [SQL语句] SELECT COUNT(*) as total FROM ai_users u WHERE u.enterprise_id = %s AND u.status != 'deleted'
|
||
19:07:31 - article_server - INFO - [SQL参数] [1]
|
||
19:07:31 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:07:31 - article_server - INFO - [SQL语句]
|
||
SELECT
|
||
COUNT(*) as total_count,
|
||
SUM(CASE WHEN status = 'active' THEN 1 ELSE 0 END) as active_count,
|
||
SUM(CASE WHEN is_bound_xhs = 1 THEN 1 ELSE 0 END) as bound_xhs_count
|
||
FROM ai_users
|
||
WHERE enterprise_id = %s AND status != 'deleted'
|
||
|
||
19:07:31 - article_server - INFO - [SQL参数] (1,)
|
||
19:07:31 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:07:31 - article_server - INFO - [SQL数据] 查询结果: [{'total': 6}]
|
||
19:07:31 - article_server - INFO - [SQL结果] 查询完成，返回 1 条记录
|
||
19:07:31 - article_server - INFO - [SQL数据] 查询结果: [{'total_count': 6, 'active_count': Decimal('6'), 'bound_xhs_count': Decimal('3')}]
|
||
19:07:31 - article_server - INFO - [SQL执行] 开始执行查询SQL
|
||
19:07:31 - article_server - INFO - [SQL语句]
|
||
SELECT u.id, u.enterprise_id, u.real_name as name, u.username, u.phone, u.role, u.department,
|
||
u.is_bound_xhs, a.xhs_account, u.status, u.created_at, u.updated_at
|
||
FROM ai_users u
|
||
LEFT JOIN ai_authors a ON u.id = a.created_user_id AND a.status = 'active'
|
||
WHERE u.enterprise_id = %s AND u.status != 'deleted'
|
||
ORDER BY u.created_at DESC
|
||
LIMIT %s OFFSET %s
|
||
|
||
19:07:31 - article_server - INFO - [SQL参数] [1, 10, 0]
|
||
19:07:31 - article_server - INFO - 获取员工统计成功
|
||
19:07:31 - article_server - INFO - [API响应] GET /api/employees/stats - IP: 104.244.91.212 - 状态码: 200
|
||
19:07:31 - article_server - INFO - [SQL结果] 查询完成，返回 6 条记录
|
||
19:07:31 - article_server - INFO - 获取员工列表成功，总数: 6
|
||
19:07:31 - article_server - INFO - [API响应] GET /api/employees/list - IP: 104.244.91.212 - 状态码: 200
|