level timestamp caller msg request_id method path status duration 15:42:02.294 [DubboServerHandler-172.24.16.10:20884-thread-200] INFO c.f.p.s.i.PlanConfigServiceImpl - [getPlanConfigFromNacos,78] - 成功从Nacos获取套餐配置，Data ID: plan.config, 配置长度: 19882 15:44:18.360 [Dubbo-framework-registry-notification-2-thread-1] WARN o.a.d.r.n.NacosRegistry - [warn,76] - [DUBBO] Received empty url address list and empty protection is disabled, will clear current available addresses, dubbo version: 3.2.9, current host: 172.24.16.10, error code: 1-37. This may be caused by , go to https://dubbo.apache.org/faq/1/37 to find instructions. 00:09:03.709 [DubboServerHandler-172.24.16.10:20884-thread-10] ERROR o.a.d.r.f.ExceptionFilter - [error,101] - [DUBBO] Got unchecked and undeclared exception which called by 172.24.16.10. service: com.flymoon.payment.api.IAgentUserPoints, method: getCurrentUserPoints, exception: org.mybatis.spring.MyBatisSystemException: null, dubbo version: 3.2.9, current host: 172.24.16.10, error code: 5-36. This may be caused by , go to https://dubbo.apache.org/faq/5/36 to find instructions. org.mybatis.spring.MyBatisSystemException: null at org.mybatis.spring.MyBatisExceptionTranslator.translateExceptionIfPossible(MyBatisExceptionTranslator.java:97) 错误堆栈信息 以上的我的日志格式，我用filebast收集日志。 1、换行判断怎么写？比如下边的配置应该这么改 fields_under_root: true multiline.pattern: '^\d{2}:\d{2}:\d{2}\.\d{3}' # 针对info的日志格式 multiline.negate: true multiline.match: after 2、处理器部分怎么拆字段，比如下边的配置应该怎么改： - dissect: when: equals: log_type: payment-log tokenizer: '%{timestamp} %{level} - [%{method},%{line}] - %{message}' field: "message" target_prefix: "mylog" ignore_missing: true overwrite_keys: true 5分钟 50条error 告警 系统日志: 时间 - 函数 - 日志等级 - 普通信息 2025-07-30 17:04:18,018 - 函数 - INFO - 从Nacos获取配置 agent.coordinator.prompt 2025-07-30 17:13:50,252 - main - WARNING - source_platform 不存在或格式错误: [] 2025-07-30 17:13:50,252 - main - error - 详细错误信息: Traceback (most recent call last): File "/data/webapps/lessie_sourcing_agents/dialogue/app.py", line 512, in wrapper event = await next_event ^^^^^^^^^^^^^^^^ File "/data/webapps/lessie_sourcing_agents/dialogue/app.py", line 674, in _astream_workflow_generator async for agent, _, event_data in graph.astream( File "/root/miniconda3/envs/lessie/lib/python3.12/site-packages/langgraph/pregel/__init__.py", line 2767, in astream async for _ in runner.atick( File "/data/webapps/lessie_sourcing_agents/agents/nodes/complete_task.py", line 35, in complete_task_node search_summary = search_ids.get(current_search_id) ^^^^^^^^^^^^^^ AttributeError: 'str' object has no attribute 'get' During task with name 'complete_task' and id 'c38ca0b9-f430-62d5-b9e7-880621bc2b39' 2025-07-30 17:13:50,252 - main - error - tokens过多: Too many tokens, please wait before trying again. 业务日志： 时间 - 业务日志关键字 - 函数 - 日志等级 - 用户邮箱 - 会话id - 普通信息 正常的info 异常的Warning 1、检查积分 2025-06-16 17:40:28,252 - business - info - [user_email: chendinxin@gmail.com] [conversation_id: 123456-1234-1234-1234-123456789] [event: 检查积分 | msg: 用户积分充足 | 99925] 2025-06-16 17:40:28,252 - business - warn - [user_email: chendinxin@gmail.com] [conversation_id: 123456-1234-1234-1234-123456789] [event: 检查积分 | msg: 用户积分不足 | 9] 2、对话 2025-06-16 17:40:28,252 - business - info - [user_email: chendinxin@gmail.com] [conversation_id: 123456-1234-1234-1234-123456789] [event: 用户输入 | msg: 帮我找社媒上所有发布过 flowith 内容帖子的达人，仅限 Twitter 渠道 | 语言: zh-CN] 2025-06-16 17:40:28,252 - business - info - [user_email: chendinxin@gmail.com] [conversation_id: 123456-1234-1234-1234-123456789] [event: 用户意图识别 | msg: 解析后的模式: B2B | 对话名称: 搜索网红公司 | 语言: zh-CN] 2025-06-16 17:40:28,252 - business - info - [user_email: chendinxin@gmail.com] [conversation_id: 123456-1234-1234-1234-123456789] [event: 创建达人列表 | msg: 召回50 | 其他] 2025-06-16 17:40:28,252 - business - info - [user_email: chendinxin@gmail.com] [conversation_id: 123456-1234-1234-1234-123456789] [event: Reviewing | msg: 召回50，通过10 | 其他] 3、解锁 2025-06-16 17:40:28,252 - business - info - [user_email: chendinxin@gmail.com] [conversation_id: 123456-1234-1234-1234-123456789] [event: 解锁邮箱 | msg: | 其他] #======================================== 首页直接进 1、登录 2、输入prompt 检查积分、积分足or不足、会话id、对话名称 (引导对话) 3、意图识别 意图判断场景：达人搜索 or b2b or 更多；用户第一次输入的 prompt文本 4、Searching web 5、Create a new list 6、Callingapollo for search 7、Reviewing influencer homepages 好多 8、搜索结果总结 8.1 查看邮箱、查看手机 当前积分、需要扣、查缓存 调用api返回邮箱手机 缓存、成功扣积分 8.2 勾选\全量导出解锁邮件手机 8.3 发送创email_list 解锁邮箱 进Process 获取对话 成功获取对话名称: 【已出表单】AI C-level Executives 进收件箱 #======================================== 1、tokens过多：Too many tokens, please wait before trying again.【这个报错会直接出现在web对话界面】 2、解锁电子邮件扣除积分失败： #======================================== 28771 - 139647866873600 - 2025-07-30 17:13:58,115 - ERROR - node.py:44 - table_operation_node - 表格操作失败: 不支持的操作类型: complete_search_task 2025-07-30 17:13:58,115 - /data/webapps/lessie_sourcing_agents/logs/node.py.log - ERROR - 表格操作失败: 不支持的操作类型: complete_search_task 2025-07-30 17:13:50,252 - agents.nodes.search.influencer_search - WARNING - source_platform 不存在或格式错误: [] 2025-07-30 17:13:50,252 - agents.nodes.search.influencer_search - WARNING - source_platform 不存在或格式错误: [] 2025-07-30 17:04:23,678 - dialogue.app - ERROR - 生成器处理事件时发生异常 - conversation_id: b3350fed-43c2-49cf-9dea-26565d218d39, 错误: AttributeError, 详情: 'str' object has no attribute 'get' 2025-07-30 17:06:32,822 - agents.nodes.supervisor_b2b_customers - ERROR - ❌ Supervisor Node 执行失败: An error occurred (ThrottlingException) when calling the ConverseStream operation (reached max retries: 4): Too many tokens, please wait before trying again. INFO: 162.158.186.140:0 - "POST /api/chat/stream HTTP/1.1" 200 OK 2025-07-30 17:04:17,648 - utils.points_config - INFO - 积分检查开关状态: True 28771 - 139649554802496 - 2025-07-30 17:04:18,011 - INFO - points_manager.py:58 - check_user_points - 用户积分充足: 99925 2025-07-30 17:04:18,011 - /data/webapps/lessie_sourcing_agents/logs/points_manager.log - INFO - 用户积分充足: 99925 2025-07-30 17:04:18,017 - agents.nodes.coordinator - INFO - 🎯 意图识别节点开始执行 2025-07-30 17:04:18,018 - agents.nodes.coordinator - INFO - 意图识别与会话id b3350fed-43c2-49cf-9dea-26565d218d39,分析用户输入: This is the user input: 搜索在过去7天内发布过内容、在过去30天内每个视频平均观看量超过5,000次、并且在Twitter上互动率超过2%的网红。... 28771 - 139648270366464 - 2025-07-30 17:04:18,018 - INFO - nacos_config.py:101 - get_config - 从Nacos获取配置 agent.coordinator.prompt 2025-07-30 17:04:18,018 - /data/webapps/lessie_sourcing_agents/logs/nacos_config.log - INFO - 从Nacos获取配置 agent.coordinator.prompt 2025-07-30 17:04:18,138 - agents.nodes.coordinator - INFO - 🔧 成功从Nacos获取意图识别系统提示词 2025-07-30 17:04:19,982 - agents.nodes.coordinator - INFO - 🔍 LLM原始响应: result='influencer' language='zh-CN' conversation_name='搜索网红' ai_resp='' 2025-07-30 17:04:19,982 - agents.nodes.coordinator - INFO - 📊 解析后的意图: influencer，对话名称: 搜索网红, 语言: zh-CN 2025-07-30 17:04:19,982 - agents.nodes.coordinator - INFO - 🌟 智能识别为Influencer模式 2025-07-30 17:04:19,985 - agents.nodes.coordinator - INFO - ✅ 已更新数据库中的对话名称: 搜索网红 2025-07-30 17:04:19,991 - langgraph - WARNING - Task coordinator with path ('__pregel_pull', 'coordinator') wrote to unknown channel is_last_step, ignoring it. 2025-07-30 17:04:19,991 - langgraph - WARNING - Task coordinator with path ('__pregel_pull', 'coordinator') wrote to unknown channel remaining_steps, ignoring it. 2025-07-30 17:04:19,993 - agents.nodes.supervisor_influencer - INFO - 🎯 Supervisor Node 开始执行, b3350fed-43c2-49cf-9dea-26565d218d39 2025-07-30 17:04:19,993 - agents.nodes.supervisor_influencer - INFO - 当前处理阶段: intent_classified 2025-07-30 17:04:19,994 - agents.nodes.supervisor_influencer - INFO - 🔄 开始流式调用 Supervisor Agent, b3350fed-43c2-49cf-9dea-26565d218d39 28771 - 139649554802496 - 2025-07-30 17:04:19,994 - INFO - nacos_config.py:101 - get_config - 从Nacos获取配置 agent.supervisor.influencer.system.prompt 2025-07-30 17:04:19,994 - /data/webapps/lessie_sourcing_agents/logs/nacos_config.log - INFO - 从Nacos获取配置 agent.supervisor.influencer.system.prompt ✅ 创建新对话记录成功: 对话 b3350fed ✅ 同时保存了 1 条消息 ✅ 更新用户 1917431619678040066 的对话列表，添加 b3350fed-43c2-49cf-9dea-26565d218d39 ✅ 用户消息已保存到数据库，共 1 条 ✅ 成功获取对话名称: 搜索网红 INFO: 162.158.186.141:0 - "GET /api/conversation/conversation_name/b3350fed-43c2-49cf-9dea-26565d218d39 HTTP/1.1" 200 OK 2025-07-30 17:04:23,674 - agents.nodes.complete_task - INFO - 🎯 任务完成节点开始执行 2025-07-30 17:04:23,678 - dialogue.app - ERROR - 详细错误信息: Traceback (most recent call last): File "/data/webapps/lessie_sourcing_agents/dialogue/app.py", line 512, in wrapper event = await next_event ^^^^^^^^^^^^^^^^ File "/data/webapps/lessie_sourcing_agents/dialogue/app.py", line 674, in _astream_workflow_generator async for agent, _, event_data in graph.astream( File "/root/miniconda3/envs/lessie/lib/python3.12/site-packages/langgraph/pregel/__init__.py", line 2767, in astream async for _ in runner.atick( File "/data/webapps/lessie_sourcing_agents/agents/nodes/complete_task.py", line 35, in complete_task_node search_summary = search_ids.get(current_search_id) ^^^^^^^^^^^^^^ AttributeError: 'str' object has no attribute 'get' During task with name 'complete_task' and id 'c38ca0b9-f430-62d5-b9e7-880621bc2b39' 2025-07-30 17:04:23,678 - dialogue.app - ERROR - 生成器处理事件时发生异常 - conversation_id: b3350fed-43c2-49cf-9dea-26565d218d39, 错误: AttributeError, 详情: 'str' object has no attribute 'get' 2025-07-30 17:04:23,678 - dialogue.app - INFO - 会话流处理结束 - conversation_id: b3350fed-43c2-49cf-9dea-26565d218d39 2025-07-30 17:04:23,678 - dialogue.app - INFO - 取消已完成的事件任务 - conversation_id: b3350fed-43c2-49cf-9dea-26565d218d39 2025-07-30 17:04:23,678 - dialogue.app - INFO - 生成器正常结束 - conversation_id: b3350fed-43c2-49cf-9dea-26565d218d39 2025-07-30 15:09:59,309 - agents.nodes.search.business_search_customer - INFO - 🔄 开始调用 Business Search Graph，搜索状态: {'search_content': '寻找100-500人规模的科技公司中的营销决策者和关键联系人，重点关注那些正在寻求营销自动化解决方案的公司。目标职位包括CMO、营销总监、数字营销经理、增长营销经理、营销运营经理等。这些公司应该在SaaS、电商技术、营销技术、金融科技等领域，并且最近在营销岗位上有招聘活动，表明他们正在扩展营销团队并可能需要更好的营销自动化工具。', 'mode': 'b2b', 'target_cnt': 30, 'organization_domains_list': [], 'search_id': '94508aaf-4d1d-4778-b703-1a0796ab065b', 'search_round': 1, 'tool_call_id': 'tooluse_i2yphXZPQVOqsET-5U2WMQ'}, 搜索id: 94508aaf-4d1d-4778-b703-1a0796ab065b, 搜索轮次: 1 3601965 - 139638219982400 - 2025-07-30 15:09:59,311 - INFO - node_impls.py:239 - init_node_impl - init_node_impl state --> {'messages': [], 'search_content': '寻找100-500人规模的科技公司中的营销决策者和关键联系人，重点关注那些正在寻求营销自动化解决方案的公司。目标职位包括CMO、营销总监、数字营销经理、增长营销经理、营销运营经理等。这些公司应该在SaaS、电商技术、营销技术、金融科技等领域，并且最近在营销岗位上有招聘活动，表明他们正在扩展营销团队并可能需要更好的营销自动化工具。', 'search_id': '94508aaf-4d1d-4778-b703-1a0796ab065b', 'tool_call_id': 'tooluse_i2yphXZPQVOqsET-5U2WMQ', 'mode': 'b2b', 'target_cnt': 30, 'organization_domains_list': [], 'conversation_id': '605c6318-a630-433f-868c-ebd1caaadcfc'} 2025-07-30 15:09:59,311 - /data/webapps/lessie_sourcing_agents/logs/apollo_search_agent.log - INFO - init_node_impl state --> {'messages': [], 'search_content': '寻找100-500人规模的科技公司中的营销决策者和关键联系人，重点关注那些正在寻求营销自动化解决方案的公司。目标职位包括CMO、营销总监、数字营销经理、增长营销经理、营销运营经理等。这些公司应该在SaaS、电商技术、营销技术、金融科技等领域，并且最近在营销岗位上有招聘活动，表明他们正在扩展营销团队并可能需要更好的营销自动化工具。', 'search_id': '94508aaf-4d1d-4778-b703-1a0796ab065b', 'tool_call_id': 'tooluse_i2yphXZPQVOqsET-5U2WMQ', 'mode': 'b2b', 'target_cnt': 30, 'organization_domains_list': [], 'conversation_id': '605c6318-a630-433f-868c-ebd1caaadcfc'} 2025-07-30 15:09:59,314 - utils.points_config - INFO - 积分检查开关状态: True 3601965 - 139637305636416 - 2025-07-30 15:09:59,515 - INFO - points_manager.py:58 - check_user_points - 用户积分充足: 99925 2025-07-30 15:09:59,515 - /data/webapps/lessie_sourcing_agents/logs/points_manager.log - INFO - 用户积分充足: 99925 3601965 - 139637305636416 - 2025-07-30 15:09:59,516 - INFO - nacos_config.py:101 - get_config - 从Nacos获取配置 agent.search.business.apollo.param.prompt 2025-07-30 15:09:59,516 - /data/webapps/lessie_sourcing_agents/logs/nacos_config.log - INFO - 从Nacos获取配置 agent.search.business.apollo.param.prompt 3601965 - 139637305636416 - 2025-07-30 15:10:04,510 - INFO - node_impls.py:280 - apollo_node_impl - 生成apollo的API参数成功，耗时5秒, apollo_req:{"person_titles": ["chief marketing officer", "marketing director", "digital marketing manager", "growth marketing manager", "marketing operations manager", "cmo"], "person_seniorities": ["c_suite", "director", "manager"], "include_similar_titles": true, "organization_num_employees_ranges": ["100,500"], "revenue_range": {"min": 0, "max": 999999999}, "person_locations": [], "organization_locations": [], "currently_using_all_of_technology_uids": [], "currently_using_any_of_technology_uids": [], "currently_not_using_any_of_technology_uids": [], "contact_email_status": [], "q_keywords": "automation", "q_organization_job_titles": ["marketing manager", "digital marketing manager", "growth marketing manager", "marketing operations manager", "marketing director"], "organization_job_locations": [], "organization_num_jobs_range": {"min": 1, "max": 999}, "organization_job_posted_at_range": {"min": "2024-01-01", "max": "2025-07-31"}, "q_organization_domains_list": []} 2025-07-30 15:10:04,510 - /data/webapps/lessie_sourcing_agents/logs/apollo_search_agent.log - INFO - 生成apollo的API参数成功，耗时5秒, apollo_req:{"person_titles": ["chief marketing officer", "marketing director", "digital marketing manager", "growth marketing manager", "marketing operations manager", "cmo"], "person_seniorities": ["c_suite", "director", "manager"], "include_similar_titles": true, "organization_num_employees_ranges": ["100,500"], "revenue_range": {"min": 0, "max": 999999999}, "person_locations": [], "organization_locations": [], "currently_using_all_of_technology_uids": [], "currently_using_any_of_technology_uids": [], "currently_not_using_any_of_technology_uids": [], "contact_email_status": [], "q_keywords": "automation", "q_organization_job_titles": ["marketing manager", "digital marketing manager", "growth marketing manager", "marketing operations manager", "marketing director"], "organization_job_locations": [], "organization_num_jobs_range": {"min": 1, "max": 999}, "organization_job_posted_at_range": {"min": "2024-01-01", "max": "2025-07-31"}, "q_organization_domains_list": []} 3601965 - 139637691504192 - 2025-07-30 15:10:05,343 - INFO - apollo_search.py:364 - process_single_user - SUCCESS:search_ops.collection.upsert inserted, person_id:59962e91a6da987d5f90ebe3 3601965 - 139637297243712 - 2025-07-30 15:10:05,343 - INFO - apollo_search.py:364 - process_single_user - SUCCESS:search_ops.collection.upsert inserted, person_id:60ba08e085fec900018fc1e4 3601965 - 139637699896896 - 2025-07-30 15:10:05,343 - INFO - apollo_search.py:364 - process_single_user - SUCCESS:search_ops.collection.upsert inserted, person_id:64de2fdd236df0000101d5d5 2025-07-30 15:10:05,343 - /data/webapps/lessie_sourcing_agents/logs/mongo_store_record.log - INFO - SUCCESS:search_ops.collection.upsert inserted, person_id:59962e91a6da987d5f90ebe3 2025-07-30 15:10:05,343 - /data/webapps/lessie_sourcing_agents/logs/mongo_store_record.log - INFO - SUCCESS:search_ops.collection.upsert inserted, person_id:60ba08e085fec900018fc1e4 2025-07-30 15:10:05,343 - /data/webapps/lessie_sourcing_agents/logs/mongo_store_record.log - INFO - SUCCESS:search_ops.collection.upsert inserted, person_id:64de2fdd236df0000101d5d5 2025-07-30 15:19:23,188 - utils.points_config - INFO - 积分检查开关状态: True 3601965 - 139638778885696 - 2025-07-30 15:19:24,022 - ERROR - points_manager.py:110 - deduct_points - 积分扣除失败: org.springframework.dao.DataIntegrityViolationException: ### Error updating database. Cause: java.sql.SQLException: Field 'user_id' doesn't have a default value ### The error may exist in com/flymoon/payment/provider/mapper/AgentUserPointsMapper.java (best guess) ### The error may involve com.flymoon.payment.provider.mapper.AgentUserPointsMapper.insert-Inline ### The error occurred while setting parameters ### SQL: INSERT INTO agent_user_points ( current_points, total_obtained_points, total_used_points, package_type ) VALUES ( ?, ?, ?, ? ) ### Cause: java.sql.SQLException: Field 'user_id' doesn't have a default value ; Field 'user_id' doesn't have a default value org.springframework.dao.DataIntegrityViolationException: ### Error updating database. Cause: java.sql.SQLException: Field 'user_id' doesn't have a default value ### The error may exist in com/flymoon/payment/provider/mapper/AgentUserPointsMapper.java (best guess) ### The error may involve com.flymoon.payment.provider.mapper.AgentUserPointsMapper.insert-Inline ### The error occurred while setting parameters ### SQL: INSERT INTO agent_user_points ( current_points, total_obtained_points, total_used_points, package_type ) VALUES ( ?, ?, ?, ? ) ### Cause: java.sql.SQLException: Field 'user_id' doesn't have a default value ; Field 'user_id' doesn't have a default value 🚀 开始并行存储 30 个审核结果... 📊 存储完成统计: 成功 30 条，失败 0 条 📊 审核结果统计: 通过 24 条，失败 6 条，未知 0 条 📊 基于实际数据的统计: {'search_count': 30, 'reviewed_pass_count': 24, 'reviewed_fail_count': 6, 'reviewed_unknown_count': 0} ✅ search_record统计更新成功 (基于实际数据) - 总计: 30 - 通过: 24 - 失败: 6 - 未知: 0 - 未审核: 0 💰 积分扣除计算: - Review前通过数: 0 - Review后通过数: 24 - 新增通过数: 24 ✅ 已扣除 24 个积分（仅针对新增通过的审核） 🔍 正在通过Apollo API搜索B端用户... 📝 搜索参数: { "per_page": 50, "page": 1, "person_titles": [ "founder", "full stack developer", "marketing specialist", "product manager", "ai engineer", "software engineer", "developer", "marketing manager", "ceo", "cto" ], "include_similar_titles": true, "person_seniorities": [ "founder", "c_suite", "director", "manager", "senior", "entry" ], "q_keywords": "Superlinear", "person_locations": [ "singapore" ], "organization_locations": [ "singapore" ], "revenue_range": { "min": 0, "max": 999999999 }, "organization_num_jobs_range": { "min": 0, "max": 999 }, "organization_job_posted_at_range": { "min": "2020-01-01", "max": "2025-12-31" } } ✅ Apollo搜索完成，找到 0 个B端用户 2025-09-22 20:20:26,353 - ERROR - kafka_client.py:231 - _send - 异步发送消息失败: KafkaError{code=_UNKNOWN_TOPIC,val=-188,str="Unable to produce message: Local: Unknown topic"} 日志格式大体是： 时间戳 - 日志等级 - 函数 - 方法名 - 日志信息 比如：2025-09-22 20:20:26,353 - ERROR - kafka_client.py:231 - _send - 异步发送消息失败: KafkaError{code=_UNKNOWN_TOPIC,val=-188,str="Unable to produce message: Local: Unknown topic"} 但是有的日志的“日志信息”部分会有格式，如 [event: Review通过率过低 | msg: Review通过率过低: 80.0% | context: conversation_id:47677e65-eccf-42b5-886a-5956d3e13d8a,search_id:6720e77c-efae-42eb-bbf9-485879121c1e,pass_rate_percent:80.0,threshold_percent:30,total_approved:28,total_reviewed:35] 处理器要切割日志，字段如下： timestamp level module function message event (如果有) msg (如果有) context (如果有) 以前别日志的配置是： 处理器怎么采集 # 处理器 processors: - dissect: when: equals: log_type: email-log tokenizer: '%{timestamp} [%{thread}] %{level} %{class} - [%{method_line}] - %{message}' field: "message" target_prefix: "mylog" ignore_missing: true overwrite_keys: true echo '2025-09-23 14:06:53,817 - WARNING - logger.py:116 - log_business_event - [level: S0 | event: 任务耗时超限 | msg: 任务执行耗时超过20分钟: 57.35分钟 | context: conversation_id:c0c54feb-343f-46b7-ade8-a0c775260a23,task_duration_minutes:57.35,threshold_minutes:20]' >> /data/webapps/prod_lessie_sourcing_agents/logs/lessie_sourcing_agents_20250922_235514.log echo '2025-09-22 15:37:51,343 - WARNING - logger.py:107 - log_business_event - [level: S0 | event: Review通过率过低 | msg: Review通过率过低: 80.0% | context: conversation_id:47677e65-eccf-42b5-886a-5956d3e13d8a,search_id:6720e77c-efae-42eb-bbf9-485879121c1e,pass_rate_percent:80.0,threshold_percent:30,total_approved:28,total_reviewed:35]' >> /data/webapps/prod_lessie_sourcing_agents/logs/lessie_sourcing_agents_20250922_235514.log 2025-09-23 14:17:36,576 - WARNING - logger.py:116 - log_business_event - [level: S1 | event: Review通过率过低 | msg: Review通过率过低: 6.1%，低于配置阈值10.0% | context: conversation_id:52498bc9-edbb-4684-bc88-d0323aeb3e2f,search_id:5be3f91f-6fd9-4587-b4e4-e2ea74bf664a,pass_rate_percent:6.1,threshold_percent:10.0,total_approved:10,total_reviewed:164] 2025-09-23 14:06:53,817 - WARNING - logger.py:116 - log_business_event - [level: S0 | event: 任务耗时超限 | msg: 任务执行耗时超过20分钟: 57.35分钟 | context: conversation_id:c0c54feb-343f-46b7-ade8-a0c775260a23,task_duration_minutes:57.35,threshold_minutes:20] 🔗 平台: s2.jennie.im 🕒 触发时间:2025-09-23 00:02:31 🔢 警告数量: 6 业务日志: 📊 事件等级 : S0 🔍 事件: 结果人数不足 ⏱️ 时间戳: 2025-09-22 15:37:51,343 💬 msg: 搜索结果人数不足: 28人 📝 context: conversation_id:47677e65-eccf-42b5-886a-5956d3e13d8a,search_id:6720e77c-efae-42eb-bbf9-485879121c1e,approved_count:28,threshold_count:100,total_reviewed:35 📊 事件等级 : S0 🔍 事件: 结果人数不足 ⏱️ 时间戳: 2025-09-22 15:37:51,343 💬 msg: 搜索结果人数不足: 26人 📝 context: conversation_id:47677e65-eccf-42b5-886a-5956d3e13d8a,search_id:6720e77c-efae-42eb-bbf9-485879121c1e,approved_count:28,threshold_count:100,total_reviewed:35 📊 事件等级 : S0 🔍 事件: 结果人数不足 ⏱️ 时间戳: 2025-09-22 15:37:51,343 💬 msg: 搜索结果人数不足: 27人 📝 context: conversation_id:47677e65-eccf-42b5-886a-5956d3e13d8a,search_id:6720e77c-efae-42eb-bbf9-485879121c1e,approved_count:28,threshold_count:100,total_reviewed:35