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app.log.2025-07-22

app.log.2025-07-22 28 KB
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  1. 2025-07-22 00:28:27 [INFO] [app.UnifiedApp] unified_api.py:4440 - 接收到信号 2，准备退出...
    2. 

  2. 2025-07-22 00:28:27 [ERROR] [app.UnifiedApp] unified_api.py:521 - 清理资源失败: asyncio.run() cannot be called from a running event loop
    3. 

  3. 2025-07-22 01:03:06 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    4. 

  4. 2025-07-22 01:03:06 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    5. 

  5. 2025-07-22 01:03:06 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    6. 

  6. 2025-07-22 01:03:06 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    7. 

  7. 2025-07-22 01:03:06 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    8. 

  8. 2025-07-22 01:03:06 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    9. 

  9. 2025-07-22 01:03:06 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    10. 

  10. 2025-07-22 01:03:08 [INFO] [app.RedisConversationManager] redis_conversation_manager.py:35 - Redis连接成功: localhost:6379
    11. 

  11. 2025-07-22 01:03:08 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    12. 

  12. 2025-07-22 01:03:08 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    13. 

  13. 2025-07-22 01:03:08 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    14. 

  14. 2025-07-22 01:03:08 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    15. 

  15. 2025-07-22 01:03:08 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    16. 

  16. 2025-07-22 01:03:08 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    17. 

  17. 2025-07-22 01:03:08 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    18. 

  18. 2025-07-22 01:03:09 [INFO] [app.UnifiedApp] unified_api.py:4522 - 🚀 启动统一API服务...
    19. 

  19. 2025-07-22 01:03:09 [INFO] [app.UnifiedApp] unified_api.py:4523 - 📍 服务地址: http://localhost:8084
    20. 

  20. 2025-07-22 01:03:09 [INFO] [app.UnifiedApp] unified_api.py:4524 - 🔗 健康检查: http://localhost:8084/health
    21. 

  21. 2025-07-22 01:03:09 [INFO] [app.UnifiedApp] unified_api.py:4525 - 📘 React Agent API: http://localhost:8084/api/v0/ask_react_agent
    22. 

  22. 2025-07-22 01:03:09 [INFO] [app.UnifiedApp] unified_api.py:4526 - 📘 LangGraph Agent API: http://localhost:8084/api/v0/ask_agent
    23. 

  23. 2025-07-22 01:03:09 [INFO] [app.UnifiedApp] unified_api.py:4533 - 🚀 使用ASGI模式启动异步Flask应用...
    24. 

  24. 2025-07-22 01:03:09 [INFO] [app.UnifiedApp] unified_api.py:4534 -    这将解决事件循环冲突问题，支持LangGraph异步checkpoint保存
    25. 

  25. 2025-07-22 01:04:57 [INFO] [app.UnifiedApp] unified_api.py:4441 - 接收到信号 2，准备退出...
    26. 

  26. 2025-07-22 01:04:57 [ERROR] [app.UnifiedApp] unified_api.py:522 - 清理资源失败: asyncio.run() cannot be called from a running event loop
    27. 

  27. 2025-07-22 11:33:44 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    28. 

  28. 2025-07-22 11:33:44 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    29. 

  29. 2025-07-22 11:33:44 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    30. 

  30. 2025-07-22 11:33:44 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    31. 

  31. 2025-07-22 11:33:44 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    32. 

  32. 2025-07-22 11:33:44 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    33. 

  33. 2025-07-22 11:33:44 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    34. 

  34. 2025-07-22 11:33:46 [INFO] [app.RedisConversationManager] redis_conversation_manager.py:35 - Redis连接成功: localhost:6379
    35. 

  35. 2025-07-22 11:33:46 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    36. 

  36. 2025-07-22 11:33:46 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    37. 

  37. 2025-07-22 11:33:46 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    38. 

  38. 2025-07-22 11:33:46 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    39. 

  39. 2025-07-22 11:33:46 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    40. 

  40. 2025-07-22 11:33:46 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    41. 

  41. 2025-07-22 11:33:46 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    42. 

  42. 2025-07-22 11:33:47 [INFO] [app.UnifiedApp] unified_api.py:4642 - 🚀 启动统一API服务...
    43. 

  43. 2025-07-22 11:33:47 [INFO] [app.UnifiedApp] unified_api.py:4643 - 📍 服务地址: http://localhost:8084
    44. 

  44. 2025-07-22 11:33:47 [INFO] [app.UnifiedApp] unified_api.py:4644 - 🔗 健康检查: http://localhost:8084/health
    45. 

  45. 2025-07-22 11:33:47 [INFO] [app.UnifiedApp] unified_api.py:4645 - 📘 React Agent API: http://localhost:8084/api/v0/ask_react_agent
    46. 

  46. 2025-07-22 11:33:47 [INFO] [app.UnifiedApp] unified_api.py:4646 - 📘 LangGraph Agent API: http://localhost:8084/api/v0/ask_agent
    47. 

  47. 2025-07-22 11:33:47 [INFO] [app.UnifiedApp] unified_api.py:4647 - 💾 Vector备份API: http://localhost:8084/api/v0/data_pipeline/vector/backup
    48. 

  48. 2025-07-22 11:33:47 [INFO] [app.UnifiedApp] unified_api.py:4648 - 📥 Vector恢复API: http://localhost:8084/api/v0/data_pipeline/vector/restore
    49. 

  49. 2025-07-22 11:33:47 [INFO] [app.UnifiedApp] unified_api.py:4649 - 📋 备份列表API: http://localhost:8084/api/v0/data_pipeline/vector/restore/list
    50. 

  50. 2025-07-22 11:33:47 [INFO] [app.UnifiedApp] unified_api.py:4656 - 🚀 使用ASGI模式启动异步Flask应用...
    51. 

  51. 2025-07-22 11:33:47 [INFO] [app.UnifiedApp] unified_api.py:4657 -    这将解决事件循环冲突问题，支持LangGraph异步checkpoint保存
    52. 

  52. 2025-07-22 11:53:31 [INFO] [app.UnifiedApp] unified_api.py:4441 - 接收到信号 2，准备退出...
    53. 

  53. 2025-07-22 11:53:31 [ERROR] [app.UnifiedApp] unified_api.py:522 - 清理资源失败: asyncio.run() cannot be called from a running event loop
    54. 

  54. 2025-07-22 11:53:46 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    55. 

  55. 2025-07-22 11:53:46 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    56. 

  56. 2025-07-22 11:53:46 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    57. 

  57. 2025-07-22 11:53:46 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    58. 

  58. 2025-07-22 11:53:46 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    59. 

  59. 2025-07-22 11:53:46 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    60. 

  60. 2025-07-22 11:53:46 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    61. 

  61. 2025-07-22 11:53:47 [INFO] [app.RedisConversationManager] redis_conversation_manager.py:35 - Redis连接成功: localhost:6379
    62. 

  62. 2025-07-22 11:53:47 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    63. 

  63. 2025-07-22 11:53:47 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    64. 

  64. 2025-07-22 11:53:47 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    65. 

  65. 2025-07-22 11:53:47 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    66. 

  66. 2025-07-22 11:53:47 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    67. 

  67. 2025-07-22 11:53:47 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    68. 

  68. 2025-07-22 11:53:47 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    69. 

  69. 2025-07-22 11:53:49 [INFO] [app.UnifiedApp] unified_api.py:4642 - 🚀 启动统一API服务...
    70. 

  70. 2025-07-22 11:53:49 [INFO] [app.UnifiedApp] unified_api.py:4643 - 📍 服务地址: http://localhost:8084
    71. 

  71. 2025-07-22 11:53:49 [INFO] [app.UnifiedApp] unified_api.py:4644 - 🔗 健康检查: http://localhost:8084/health
    72. 

  72. 2025-07-22 11:53:49 [INFO] [app.UnifiedApp] unified_api.py:4645 - 📘 React Agent API: http://localhost:8084/api/v0/ask_react_agent
    73. 

  73. 2025-07-22 11:53:49 [INFO] [app.UnifiedApp] unified_api.py:4646 - 📘 LangGraph Agent API: http://localhost:8084/api/v0/ask_agent
    74. 

  74. 2025-07-22 11:53:49 [INFO] [app.UnifiedApp] unified_api.py:4647 - 💾 Vector备份API: http://localhost:8084/api/v0/data_pipeline/vector/backup
    75. 

  75. 2025-07-22 11:53:49 [INFO] [app.UnifiedApp] unified_api.py:4648 - 📥 Vector恢复API: http://localhost:8084/api/v0/data_pipeline/vector/restore
    76. 

  76. 2025-07-22 11:53:49 [INFO] [app.UnifiedApp] unified_api.py:4649 - 📋 备份列表API: http://localhost:8084/api/v0/data_pipeline/vector/restore/list
    77. 

  77. 2025-07-22 11:53:49 [INFO] [app.UnifiedApp] unified_api.py:4656 - 🚀 使用ASGI模式启动异步Flask应用...
    78. 

  78. 2025-07-22 11:53:49 [INFO] [app.UnifiedApp] unified_api.py:4657 -    这将解决事件循环冲突问题，支持LangGraph异步checkpoint保存
    79. 

  79. 2025-07-22 11:56:39 [INFO] [app.UnifiedApp] unified_api.py:4441 - 接收到信号 2，准备退出...
    80. 

  80. 2025-07-22 11:56:39 [ERROR] [app.UnifiedApp] unified_api.py:522 - 清理资源失败: asyncio.run() cannot be called from a running event loop
    81. 

  81. 2025-07-22 11:56:58 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    82. 

  82. 2025-07-22 11:56:58 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    83. 

  83. 2025-07-22 11:56:58 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    84. 

  84. 2025-07-22 11:56:58 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    85. 

  85. 2025-07-22 11:56:58 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    86. 

  86. 2025-07-22 11:56:58 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    87. 

  87. 2025-07-22 11:56:58 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    88. 

  88. 2025-07-22 11:57:00 [INFO] [app.RedisConversationManager] redis_conversation_manager.py:35 - Redis连接成功: localhost:6379
    89. 

  89. 2025-07-22 11:57:00 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    90. 

  90. 2025-07-22 11:57:00 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    91. 

  91. 2025-07-22 11:57:00 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    92. 

  92. 2025-07-22 11:57:00 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    93. 

  93. 2025-07-22 11:57:00 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    94. 

  94. 2025-07-22 11:57:00 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    95. 

  95. 2025-07-22 11:57:00 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    96. 

  96. 2025-07-22 11:57:02 [INFO] [app.UnifiedApp] unified_api.py:4642 - 🚀 启动统一API服务...
    97. 

  97. 2025-07-22 11:57:02 [INFO] [app.UnifiedApp] unified_api.py:4643 - 📍 服务地址: http://localhost:8084
    98. 

  98. 2025-07-22 11:57:02 [INFO] [app.UnifiedApp] unified_api.py:4644 - 🔗 健康检查: http://localhost:8084/health
    99. 

  99. 2025-07-22 11:57:02 [INFO] [app.UnifiedApp] unified_api.py:4645 - 📘 React Agent API: http://localhost:8084/api/v0/ask_react_agent
    100. 

  100. 2025-07-22 11:57:02 [INFO] [app.UnifiedApp] unified_api.py:4646 - 📘 LangGraph Agent API: http://localhost:8084/api/v0/ask_agent
    101. 

  101. 2025-07-22 11:57:02 [INFO] [app.UnifiedApp] unified_api.py:4647 - 💾 Vector备份API: http://localhost:8084/api/v0/data_pipeline/vector/backup
    102. 

  102. 2025-07-22 11:57:02 [INFO] [app.UnifiedApp] unified_api.py:4648 - 📥 Vector恢复API: http://localhost:8084/api/v0/data_pipeline/vector/restore
    103. 

  103. 2025-07-22 11:57:02 [INFO] [app.UnifiedApp] unified_api.py:4649 - 📋 备份列表API: http://localhost:8084/api/v0/data_pipeline/vector/restore/list
    104. 

  104. 2025-07-22 11:57:02 [INFO] [app.UnifiedApp] unified_api.py:4656 - 🚀 使用ASGI模式启动异步Flask应用...
    105. 

  105. 2025-07-22 11:57:02 [INFO] [app.UnifiedApp] unified_api.py:4657 -    这将解决事件循环冲突问题，支持LangGraph异步checkpoint保存
    106. 

  106. 2025-07-22 11:57:12 [INFO] [app.UnifiedApp] unified_api.py:4441 - 接收到信号 2，准备退出...
    107. 

  107. 2025-07-22 11:57:12 [ERROR] [app.UnifiedApp] unified_api.py:522 - 清理资源失败: asyncio.run() cannot be called from a running event loop
    108. 

  108. 2025-07-22 12:08:43 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    109. 

  109. 2025-07-22 12:08:43 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    110. 

  110. 2025-07-22 12:08:43 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    111. 

  111. 2025-07-22 12:08:43 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    112. 

  112. 2025-07-22 12:08:43 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    113. 

  113. 2025-07-22 12:08:43 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    114. 

  114. 2025-07-22 12:08:43 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    115. 

  115. 2025-07-22 12:08:45 [INFO] [app.RedisConversationManager] redis_conversation_manager.py:35 - Redis连接成功: localhost:6379
    116. 

  116. 2025-07-22 12:08:45 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    117. 

  117. 2025-07-22 12:08:45 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    118. 

  118. 2025-07-22 12:08:45 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    119. 

  119. 2025-07-22 12:08:45 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    120. 

  120. 2025-07-22 12:08:45 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    121. 

  121. 2025-07-22 12:08:45 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    122. 

  122. 2025-07-22 12:08:45 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    123. 

  123. 2025-07-22 12:08:47 [INFO] [app.UnifiedApp] unified_api.py:4642 - 🚀 启动统一API服务...
    124. 

  124. 2025-07-22 12:08:47 [INFO] [app.UnifiedApp] unified_api.py:4643 - 📍 服务地址: http://localhost:8084
    125. 

  125. 2025-07-22 12:08:47 [INFO] [app.UnifiedApp] unified_api.py:4644 - 🔗 健康检查: http://localhost:8084/health
    126. 

  126. 2025-07-22 12:08:47 [INFO] [app.UnifiedApp] unified_api.py:4645 - 📘 React Agent API: http://localhost:8084/api/v0/ask_react_agent
    127. 

  127. 2025-07-22 12:08:47 [INFO] [app.UnifiedApp] unified_api.py:4646 - 📘 LangGraph Agent API: http://localhost:8084/api/v0/ask_agent
    128. 

  128. 2025-07-22 12:08:47 [INFO] [app.UnifiedApp] unified_api.py:4647 - 💾 Vector备份API: http://localhost:8084/api/v0/data_pipeline/vector/backup
    129. 

  129. 2025-07-22 12:08:47 [INFO] [app.UnifiedApp] unified_api.py:4648 - 📥 Vector恢复API: http://localhost:8084/api/v0/data_pipeline/vector/restore
    130. 

  130. 2025-07-22 12:08:47 [INFO] [app.UnifiedApp] unified_api.py:4649 - 📋 备份列表API: http://localhost:8084/api/v0/data_pipeline/vector/restore/list
    131. 

  131. 2025-07-22 12:08:47 [INFO] [app.UnifiedApp] unified_api.py:4656 - 🚀 使用ASGI模式启动异步Flask应用...
    132. 

  132. 2025-07-22 12:08:47 [INFO] [app.UnifiedApp] unified_api.py:4657 -    这将解决事件循环冲突问题，支持LangGraph异步checkpoint保存
    133. 

  133. 2025-07-22 12:25:31 [INFO] [app.UnifiedApp] unified_api.py:4441 - 接收到信号 2，准备退出...
    134. 

  134. 2025-07-22 12:25:31 [ERROR] [app.UnifiedApp] unified_api.py:522 - 清理资源失败: asyncio.run() cannot be called from a running event loop
    135. 

  135. 2025-07-22 12:26:17 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    136. 

  136. 2025-07-22 12:26:17 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    137. 

  137. 2025-07-22 12:26:17 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    138. 

  138. 2025-07-22 12:26:17 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    139. 

  139. 2025-07-22 12:26:17 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    140. 

  140. 2025-07-22 12:26:17 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    141. 

  141. 2025-07-22 12:26:17 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    142. 

  142. 2025-07-22 12:26:18 [INFO] [app.RedisConversationManager] redis_conversation_manager.py:35 - Redis连接成功: localhost:6379
    143. 

  143. 2025-07-22 12:26:18 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    144. 

  144. 2025-07-22 12:26:18 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    145. 

  145. 2025-07-22 12:26:18 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    146. 

  146. 2025-07-22 12:26:18 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    147. 

  147. 2025-07-22 12:26:18 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    148. 

  148. 2025-07-22 12:26:18 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    149. 

  149. 2025-07-22 12:26:18 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    150. 

  150. 2025-07-22 12:26:20 [INFO] [app.UnifiedApp] unified_api.py:4642 - 🚀 启动统一API服务...
    151. 

  151. 2025-07-22 12:26:20 [INFO] [app.UnifiedApp] unified_api.py:4643 - 📍 服务地址: http://localhost:8084
    152. 

  152. 2025-07-22 12:26:20 [INFO] [app.UnifiedApp] unified_api.py:4644 - 🔗 健康检查: http://localhost:8084/health
    153. 

  153. 2025-07-22 12:26:20 [INFO] [app.UnifiedApp] unified_api.py:4645 - 📘 React Agent API: http://localhost:8084/api/v0/ask_react_agent
    154. 

  154. 2025-07-22 12:26:20 [INFO] [app.UnifiedApp] unified_api.py:4646 - 📘 LangGraph Agent API: http://localhost:8084/api/v0/ask_agent
    155. 

  155. 2025-07-22 12:26:20 [INFO] [app.UnifiedApp] unified_api.py:4647 - 💾 Vector备份API: http://localhost:8084/api/v0/data_pipeline/vector/backup
    156. 

  156. 2025-07-22 12:26:20 [INFO] [app.UnifiedApp] unified_api.py:4648 - 📥 Vector恢复API: http://localhost:8084/api/v0/data_pipeline/vector/restore
    157. 

  157. 2025-07-22 12:26:20 [INFO] [app.UnifiedApp] unified_api.py:4649 - 📋 备份列表API: http://localhost:8084/api/v0/data_pipeline/vector/restore/list
    158. 

  158. 2025-07-22 12:26:20 [INFO] [app.UnifiedApp] unified_api.py:4656 - 🚀 使用ASGI模式启动异步Flask应用...
    159. 

  159. 2025-07-22 12:26:20 [INFO] [app.UnifiedApp] unified_api.py:4657 -    这将解决事件循环冲突问题，支持LangGraph异步checkpoint保存
    160. 

  160. 2025-07-22 12:27:03 [INFO] [app.UnifiedApp] unified_api.py:4441 - 接收到信号 2，准备退出...
    161. 

  161. 2025-07-22 12:27:03 [ERROR] [app.UnifiedApp] unified_api.py:522 - 清理资源失败: asyncio.run() cannot be called from a running event loop
    162. 

  162. 2025-07-22 13:24:45 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    163. 

  163. 2025-07-22 13:24:45 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    164. 

  164. 2025-07-22 13:24:45 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    165. 

  165. 2025-07-22 13:24:45 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    166. 

  166. 2025-07-22 13:24:45 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    167. 

  167. 2025-07-22 13:24:45 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    168. 

  168. 2025-07-22 13:24:45 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    169. 

  169. 2025-07-22 13:24:46 [INFO] [app.RedisConversationManager] redis_conversation_manager.py:35 - Redis连接成功: localhost:6379
    170. 

  170. 2025-07-22 13:24:46 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    171. 

  171. 2025-07-22 13:24:46 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    172. 

  172. 2025-07-22 13:24:46 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    173. 

  173. 2025-07-22 13:24:46 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    174. 

  174. 2025-07-22 13:24:46 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    175. 

  175. 2025-07-22 13:24:46 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    176. 

  176. 2025-07-22 13:24:46 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    177. 

  177. 2025-07-22 13:24:48 [INFO] [app.UnifiedApp] unified_api.py:4642 - 🚀 启动统一API服务...
    178. 

  178. 2025-07-22 13:24:48 [INFO] [app.UnifiedApp] unified_api.py:4643 - 📍 服务地址: http://localhost:8084
    179. 

  179. 2025-07-22 13:24:48 [INFO] [app.UnifiedApp] unified_api.py:4644 - 🔗 健康检查: http://localhost:8084/health
    180. 

  180. 2025-07-22 13:24:48 [INFO] [app.UnifiedApp] unified_api.py:4645 - 📘 React Agent API: http://localhost:8084/api/v0/ask_react_agent
    181. 

  181. 2025-07-22 13:24:48 [INFO] [app.UnifiedApp] unified_api.py:4646 - 📘 LangGraph Agent API: http://localhost:8084/api/v0/ask_agent
    182. 

  182. 2025-07-22 13:24:48 [INFO] [app.UnifiedApp] unified_api.py:4647 - 💾 Vector备份API: http://localhost:8084/api/v0/data_pipeline/vector/backup
    183. 

  183. 2025-07-22 13:24:48 [INFO] [app.UnifiedApp] unified_api.py:4648 - 📥 Vector恢复API: http://localhost:8084/api/v0/data_pipeline/vector/restore
    184. 

  184. 2025-07-22 13:24:48 [INFO] [app.UnifiedApp] unified_api.py:4649 - 📋 备份列表API: http://localhost:8084/api/v0/data_pipeline/vector/restore/list
    185. 

  185. 2025-07-22 13:24:48 [INFO] [app.UnifiedApp] unified_api.py:4656 - 🚀 使用ASGI模式启动异步Flask应用...
    186. 

  186. 2025-07-22 13:24:48 [INFO] [app.UnifiedApp] unified_api.py:4657 -    这将解决事件循环冲突问题，支持LangGraph异步checkpoint保存
    187. 

  187. 2025-07-22 13:32:02 [INFO] [app.UnifiedApp] unified_api.py:4441 - 接收到信号 2，准备退出...
    188. 

  188. 2025-07-22 13:32:02 [ERROR] [app.UnifiedApp] unified_api.py:522 - 清理资源失败: asyncio.run() cannot be called from a running event loop
    189. 

  189. 2025-07-22 13:32:18 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    190. 

  190. 2025-07-22 13:32:18 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    191. 

  191. 2025-07-22 13:32:18 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    192. 

  192. 2025-07-22 13:32:18 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    193. 

  193. 2025-07-22 13:32:18 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    194. 

  194. 2025-07-22 13:32:18 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    195. 

  195. 2025-07-22 13:32:18 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    196. 

  196. 2025-07-22 13:32:19 [INFO] [app.RedisConversationManager] redis_conversation_manager.py:35 - Redis连接成功: localhost:6379
    197. 

  197. 2025-07-22 13:32:19 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    198. 

  198. 2025-07-22 13:32:19 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    199. 

  199. 2025-07-22 13:32:19 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    200. 

  200. 2025-07-22 13:32:19 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    201. 

  201. 2025-07-22 13:32:19 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    202. 

  202. 2025-07-22 13:32:19 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    203. 

  203. 2025-07-22 13:32:19 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    204. 

  204. 2025-07-22 13:32:21 [INFO] [app.UnifiedApp] unified_api.py:4642 - 🚀 启动统一API服务...
    205. 

  205. 2025-07-22 13:32:21 [INFO] [app.UnifiedApp] unified_api.py:4643 - 📍 服务地址: http://localhost:8084
    206. 

  206. 2025-07-22 13:32:21 [INFO] [app.UnifiedApp] unified_api.py:4644 - 🔗 健康检查: http://localhost:8084/health
    207. 

  207. 2025-07-22 13:32:21 [INFO] [app.UnifiedApp] unified_api.py:4645 - 📘 React Agent API: http://localhost:8084/api/v0/ask_react_agent
    208. 

  208. 2025-07-22 13:32:21 [INFO] [app.UnifiedApp] unified_api.py:4646 - 📘 LangGraph Agent API: http://localhost:8084/api/v0/ask_agent
    209. 

  209. 2025-07-22 13:32:21 [INFO] [app.UnifiedApp] unified_api.py:4647 - 💾 Vector备份API: http://localhost:8084/api/v0/data_pipeline/vector/backup
    210. 

  210. 2025-07-22 13:32:21 [INFO] [app.UnifiedApp] unified_api.py:4648 - 📥 Vector恢复API: http://localhost:8084/api/v0/data_pipeline/vector/restore
    211. 

  211. 2025-07-22 13:32:21 [INFO] [app.UnifiedApp] unified_api.py:4649 - 📋 备份列表API: http://localhost:8084/api/v0/data_pipeline/vector/restore/list
    212. 

  212. 2025-07-22 13:32:21 [INFO] [app.UnifiedApp] unified_api.py:4656 - 🚀 使用ASGI模式启动异步Flask应用...
    213. 

  213. 2025-07-22 13:32:21 [INFO] [app.UnifiedApp] unified_api.py:4657 -    这将解决事件循环冲突问题，支持LangGraph异步checkpoint保存
    214. 

  214. 2025-07-22 13:33:54 [INFO] [app.UnifiedApp] unified_api.py:4441 - 接收到信号 2，准备退出...
    215. 

  215. 2025-07-22 13:33:54 [ERROR] [app.UnifiedApp] unified_api.py:522 - 清理资源失败: asyncio.run() cannot be called from a running event loop
    216. 

  216. 2025-07-22 17:38:36 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    217. 

  217. 2025-07-22 17:38:36 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    218. 

  218. 2025-07-22 17:38:36 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    219. 

  219. 2025-07-22 17:38:36 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    220. 

  220. 2025-07-22 17:38:36 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    221. 

  221. 2025-07-22 17:38:36 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    222. 

  222. 2025-07-22 17:38:36 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    223. 

  223. 2025-07-22 17:38:37 [INFO] [app.RedisConversationManager] redis_conversation_manager.py:35 - Redis连接成功: localhost:6379
    224. 

  224. 2025-07-22 17:38:37 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    225. 

  225. 2025-07-22 17:38:37 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    226. 

  226. 2025-07-22 17:38:37 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    227. 

  227. 2025-07-22 17:38:37 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    228. 

  228. 2025-07-22 17:38:37 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    229. 

  229. 2025-07-22 17:38:37 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    230. 

  230. 2025-07-22 17:38:37 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    231. 

  231. 2025-07-22 17:38:39 [INFO] [app.UnifiedApp] unified_api.py:4642 - 🚀 启动统一API服务...
    232. 

  232. 2025-07-22 17:38:39 [INFO] [app.UnifiedApp] unified_api.py:4643 - 📍 服务地址: http://localhost:8084
    233. 

  233. 2025-07-22 17:38:39 [INFO] [app.UnifiedApp] unified_api.py:4644 - 🔗 健康检查: http://localhost:8084/health
    234. 

  234. 2025-07-22 17:38:39 [INFO] [app.UnifiedApp] unified_api.py:4645 - 📘 React Agent API: http://localhost:8084/api/v0/ask_react_agent
    235. 

  235. 2025-07-22 17:38:39 [INFO] [app.UnifiedApp] unified_api.py:4646 - 📘 LangGraph Agent API: http://localhost:8084/api/v0/ask_agent
    236. 

  236. 2025-07-22 17:38:39 [INFO] [app.UnifiedApp] unified_api.py:4647 - 💾 Vector备份API: http://localhost:8084/api/v0/data_pipeline/vector/backup
    237. 

  237. 2025-07-22 17:38:39 [INFO] [app.UnifiedApp] unified_api.py:4648 - 📥 Vector恢复API: http://localhost:8084/api/v0/data_pipeline/vector/restore
    238. 

  238. 2025-07-22 17:38:39 [INFO] [app.UnifiedApp] unified_api.py:4649 - 📋 备份列表API: http://localhost:8084/api/v0/data_pipeline/vector/restore/list
    239. 

  239. 2025-07-22 17:38:39 [INFO] [app.UnifiedApp] unified_api.py:4656 - 🚀 使用ASGI模式启动异步Flask应用...
    240. 

  240. 2025-07-22 17:38:39 [INFO] [app.UnifiedApp] unified_api.py:4657 -    这将解决事件循环冲突问题，支持LangGraph异步checkpoint保存
    241. 

  241. 2025-07-22 20:45:47 [INFO] [app.UnifiedApp] unified_api.py:282 - 🚀 正在异步初始化 Custom React Agent...
    242. 

  242. 2025-07-22 20:45:47 [INFO] [app.UnifiedApp] unified_api.py:290 - ✅ Redis客户端连接成功
    243. 

  243. 2025-07-22 20:45:50 [INFO] [app.UnifiedApp] unified_api.py:293 - ✅ React Agent 异步初始化完成
    244. 

  244. 2025-07-22 20:45:50 [INFO] [app.UnifiedApp] unified_api.py:592 - 📨 收到React Agent请求 - User: wang16, Question: 请问系统中哪个服务区档口最多？...
    245. 

  245. 2025-07-22 20:45:56 [INFO] [app.VannaSingleton] vanna_instance.py:29 - 创建 Vanna 实例...
    246. 

  246. 2025-07-22 20:45:56 [INFO] [app.ConfigUtils] utils.py:187 - === 当前模型配置 ===
    247. 

  247. 2025-07-22 20:45:56 [INFO] [app.ConfigUtils] utils.py:188 - LLM提供商: api
    248. 

  248. 2025-07-22 20:45:56 [INFO] [app.ConfigUtils] utils.py:189 - LLM模型: qianwen
    249. 

  249. 2025-07-22 20:45:56 [INFO] [app.ConfigUtils] utils.py:190 - Embedding提供商: api
    250. 

  250. 2025-07-22 20:45:56 [INFO] [app.ConfigUtils] utils.py:191 - Embedding模型: text-embedding-v4
    251. 

  251. 2025-07-22 20:45:56 [INFO] [app.ConfigUtils] utils.py:192 - 向量数据库: pgvector
    252. 

  252. 2025-07-22 20:45:56 [INFO] [app.ConfigUtils] utils.py:193 - ==================
    253. 

  253. 2025-07-22 20:45:57 [INFO] [app.VannaSingleton] vanna_instance.py:34 - Vanna 实例创建成功
    254. 

  254. 2025-07-22 20:54:00 [INFO] [app.UnifiedApp] unified_api.py:245 - 👤 未提供user_id，从 thread_id 'wang16:20250722204550155' 中推断出: 'wang16'
    255. 

  255. 2025-07-22 20:54:00 [INFO] [app.UnifiedApp] unified_api.py:592 - 📨 收到React Agent请求 - User: wang16, Question: 请问这个服务区有几个餐饮档口？...
    256. 

  256. 2025-07-22 20:55:54 [INFO] [app.UnifiedApp] unified_api.py:2502 - 📋 获取用户 wang16 的对话列表（直接Redis方式）
    257. 

  257. 2025-07-22 20:55:54 [INFO] [app.UnifiedApp] unified_api.py:329 - 🔍 扫描模式: checkpoint:wang16:*
    258. 

  258. 2025-07-22 20:55:54 [INFO] [app.UnifiedApp] unified_api.py:339 - 📋 找到 36 个keys
    259. 

  259. 2025-07-22 20:55:54 [INFO] [app.UnifiedApp] unified_api.py:361 - 📊 找到 1 个thread
    260. 

  260. 2025-07-22 20:55:54 [INFO] [app.UnifiedApp] unified_api.py:381 - 🔍 Key checkpoint:wang16:20250722204550155:__empty__:1f066fb2-052e-667e-8021-9fd6bcb08135 的类型: ReJSON-RL
    261. 

  261. 2025-07-22 20:55:54 [INFO] [app.UnifiedApp] unified_api.py:403 - 🔍 使用JSON.GET获取RedisJSON数据
    262. 

  262. 2025-07-22 20:55:54 [INFO] [app.UnifiedApp] unified_api.py:409 - 🔍 JSON数据长度: 24914 字符
    263. 

  263. 2025-07-22 20:55:54 [INFO] [app.UnifiedApp] unified_api.py:425 - 🔍 JSON顶级keys: ['thread_id', 'checkpoint_ns', 'checkpoint_id', 'parent_checkpoint_id', 'checkpoint', 'metadata', 'source', 'step']
    264. 

  264. 2025-07-22 20:55:54 [INFO] [app.UnifiedApp] unified_api.py:437 - 🔍 找到messages: 19 条消息
    265. 

  265. 2025-07-22 20:55:57 [INFO] [app.UnifiedApp] unified_api.py:499 - ✅ 返回 1 个对话
    266. 

  266. 2025-07-22 20:56:25 [INFO] [app.UnifiedApp] unified_api.py:2559 - 📖 获取对话详情 - Thread: wang16:20250722204550155, Include Tools: False
    267. 

  267. 2025-07-22 20:56:25 [INFO] [app.UnifiedApp] unified_api.py:2588 - ✅ 成功获取对话详情 - Messages: 4, Mode: 简化模式
    268. 

  268. 2025-07-22 23:13:30 [INFO] [app.UnifiedApp] unified_api.py:4441 - 接收到信号 2，准备退出...
    269. 

  269. 2025-07-22 23:13:30 [ERROR] [app.UnifiedApp] unified_api.py:522 - 清理资源失败: asyncio.run() cannot be called from a running event loop
    270. 

  270. 2025-07-22 23:13:30 [ERROR] [app.UnifiedApp] unified_api.py:522 - 清理资源失败: Event loop is closed
    271.