完成对api获取聊天历史记录的这一组两个API的修改：/api/v0/react/users/wang11/conversations

api_response_full.json

@@ -0,0 +1,397 @@
+{
+  "data": {
+    "message_count": 36,
+    "messages": [
+      {
+        "content": "请问系统中哪个服务区档口最多？",
+        "tool_calls": null,
+        "type": "human"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "history_messages": [],
+              "question": "请问系统中哪个服务区档口最多？"
+            },
+            "id": "call_d5af6e8c32584f75b919c5",
+            "name": "generate_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SELECT sa.service_area_name AS 服务区名称, COUNT(b.id) AS 档口数量 \nFROM bss_branch b \nJOIN bss_service_area sa ON b.service_area_id = sa.id \nWHERE b.delete_ts IS NULL \nGROUP BY sa.service_area_name \nORDER BY 档口数量 DESC \nLIMIT 1;",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT sa.service_area_name AS 系统中哪个服务区档口最多？, COUNT(b.id) AS 档口数量 \nFROM bss_branch b \nJOIN bss_service_area sa ON b.service_area_id = sa.id \nWHERE b.delete_ts IS NULL \nGROUP BY sa.service_area_name \nORDER BY 档口数量 DESC \nLIMIT 1;"
+            },
+            "id": "call_f439ef1e9a6f478ba82b7e",
+            "name": "valid_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SQL验证通过：语法正确且字段存在",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT sa.service_area_name AS 服务区名称, COUNT(b.id) AS 档口数量 \nFROM bss_branch b \nJOIN bss_service_area sa ON b.service_area_id = sa.id \nWHERE b.delete_ts IS NULL \nGROUP BY sa.service_area_name \nORDER BY 档口数量 DESC \nLIMIT 1;"
+            },
+            "id": "call_404f72df6c784c468745d2",
+            "name": "run_sql",
+            "type": "tool_call"
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+        "type": "ai"
+      },
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+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "系统中档口最多的服务区是“南城服务区”，共有39个档口。",
+        "tool_calls": [],
+        "type": "ai"
+      },
+      {
+        "content": "请问这个服务区有几个餐饮档口？",
+        "tool_calls": null,
+        "type": "human"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "history_messages": [
+                {
+                  "content": "请问系统中哪个服务区档口最多？",
+                  "type": "human"
+                },
+                {
+                  "content": "系统中档口最多的服务区是“南城服务区”，共有39个档口。",
+                  "type": "ai"
+                }
+              ],
+              "question": "请问这个服务区有几个餐饮档口？"
+            },
+            "id": "call_5b56370f16d74020869270",
+            "name": "generate_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SELECT COUNT(*) AS 餐饮档口数量 FROM bss_branch b JOIN bss_service_area sa ON b.service_area_id = sa.id WHERE sa.service_area_name = '南城服务区' AND b.classify = '餐饮' AND b.delete_ts IS NULL;",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT COUNT(*) AS 餐饮档口数量 FROM bss_branch b JOIN bss_service_area sa ON b.service_area_id = sa.id WHERE sa.service_area_name = '南城服务区' AND b.classify = '餐饮' AND b.delete_ts IS NULL;"
+            },
+            "id": "call_8b91fa05949746a4b554d2",
+            "name": "valid_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SQL验证通过：语法正确且字段存在",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT COUNT(*) AS 餐饮档口数量 FROM bss_branch b JOIN bss_service_area sa ON b.service_area_id = sa.id WHERE sa.service_area_name = '南城服务区' AND b.classify = '餐饮' AND b.delete_ts IS NULL;"
+            },
+            "id": "call_0055c7d1a25d4884b940f7",
+            "name": "run_sql",
+            "type": "tool_call"
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+        "type": "ai"
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+      {
+        "content": "[{\"\\u9910\\u996e\\u6863\\u53e3\\u6570\\u91cf\":6}]",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "南城服务区共有6个餐饮档口。",
+        "tool_calls": [],
+        "type": "ai"
+      },
+      {
+        "content": "请问这个服务区属于哪个管理公司？",
+        "tool_calls": null,
+        "type": "human"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "history_messages": [
+                {
+                  "content": "请问系统中哪个服务区档口最多？",
+                  "type": "human"
+                },
+                {
+                  "content": "系统中档口最多的服务区是“南城服务区”，共有39个档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区有几个餐饮档口？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区共有6个餐饮档口。",
+                  "type": "ai"
+                }
+              ],
+              "question": "请问这个服务区属于哪个管理公司？"
+            },
+            "id": "call_6ef648b63159487caf2bbc",
+            "name": "generate_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SELECT c.company_name AS 管理公司 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE sa.service_area_name = '南城服务区' AND sa.delete_ts IS NULL AND c.delete_ts IS NULL;",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT c.company_name AS 管理公司 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE sa.service_area_name = '南城服务区' AND sa.delete_ts IS NULL AND c.delete_ts IS NULL;"
+            },
+            "id": "call_b44aeb9830c746aa9c8275",
+            "name": "valid_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SQL验证通过：语法正确且字段存在",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT c.company_name AS 管理公司 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE sa.service_area_name = '南城服务区' AND sa.delete_ts IS NULL AND c.delete_ts IS NULL;"
+            },
+            "id": "call_13d3a8c66c19403ab1fd65",
+            "name": "run_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "[{\"\\u7ba1\\u7406\\u516c\\u53f8\":\"\\u629a\\u5dde\\u5206\\u516c\\u53f8\"}]",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "南城服务区属于“抚州分公司”管理。",
+        "tool_calls": [],
+        "type": "ai"
+      },
+      {
+        "content": "请问这个抚州分公司管理几个服务区？",
+        "tool_calls": null,
+        "type": "human"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "history_messages": [
+                {
+                  "content": "请问系统中哪个服务区档口最多？",
+                  "type": "human"
+                },
+                {
+                  "content": "系统中档口最多的服务区是“南城服务区”，共有39个档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区有几个餐饮档口？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区共有6个餐饮档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区属于哪个管理公司？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区属于“抚州分公司”管理。",
+                  "type": "ai"
+                }
+              ],
+              "question": "请问这个抚州分公司管理几个服务区？"
+            },
+            "id": "call_989edf48f8df4438bfe1fb",
+            "name": "generate_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SELECT COUNT(*) AS 服务区数量 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE c.company_name = '抚州分公司' AND sa.delete_ts IS NULL;",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT COUNT(*) AS 服务区数量 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE c.company_name = '抚州分公司' AND sa.delete_ts IS NULL;"
+            },
+            "id": "call_2d0bb63fa9734577b634f4",
+            "name": "valid_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SQL验证通过：语法正确且字段存在",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT COUNT(*) AS 服务区数量 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE c.company_name = '抚州分公司' AND sa.delete_ts IS NULL;"
+            },
+            "id": "call_fc4f28a4e1694c8f9084af",
+            "name": "run_sql",
+            "type": "tool_call"
+          }
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+        "type": "ai"
+      },
+      {
+        "content": "[{\"\\u670d\\u52a1\\u533a\\u6570\\u91cf\":12}]",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "抚州分公司目前管理着12个服务区。",
+        "tool_calls": [],
+        "type": "ai"
+      },
+      {
+        "content": "请问中国高速公路充电桩共有多少个?",
+        "tool_calls": null,
+        "type": "human"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "history_messages": [
+                {
+                  "content": "请问系统中哪个服务区档口最多？",
+                  "type": "human"
+                },
+                {
+                  "content": "系统中档口最多的服务区是“南城服务区”，共有39个档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区有几个餐饮档口？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区共有6个餐饮档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区属于哪个管理公司？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区属于“抚州分公司”管理。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个抚州分公司管理几个服务区？",
+                  "type": "human"
+                },
+                {
+                  "content": "抚州分公司目前管理着12个服务区。",
+                  "type": "ai"
+                }
+              ],
+              "question": "请问中国高速公路充电桩共有多少个?"
+            },
+            "id": "call_e4a0fba988a848ddbb95b5",
+            "name": "generate_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "Database query failed. Reason: 提供的上下文未包含充电桩相关数据表或字段，无法统计中国高速公路充电桩总数。需要补充充电桩信息存储表结构（如充电桩编码、所属服务区ID、状态等字段）后方可进行统计分析。",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "中国高速公路的充电桩数量是一个动态变化的数据，具体总数会随着新充电桩的建设和旧设备的淘汰而变化。根据2023年的数据，中国高速公路沿线已建成超过**2万个充电桩**，覆盖了全国主要的高速公路网络。这一数字由中国国家电网公司和各地交通管理部门共同维护，并持续增长中。\n\n如需获取最新的充电桩数量和分布情况，建议查询中国国家电网公司或交通运输部发布的最新统计数据。",
+        "tool_calls": [],
+        "type": "ai"
+      }
+    ],
+    "thread_id": "wang10:20250717211620915",
+    "user_id": "wang10"
+  },
+  "success": true,
+  "timestamp": "2025-07-19T11:21:42.874540"
+}

api_response_no_tools.json

@@ -0,0 +1,397 @@
+{
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+    "messages": [
+      {
+        "content": "请问系统中哪个服务区档口最多？",
+        "tool_calls": null,
+        "type": "human"
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+      {
+        "content": "",
+        "tool_calls": [
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+              "question": "请问系统中哪个服务区档口最多？"
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+            "id": "call_d5af6e8c32584f75b919c5",
+            "name": "generate_sql",
+            "type": "tool_call"
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+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SELECT sa.service_area_name AS 服务区名称, COUNT(b.id) AS 档口数量 \nFROM bss_branch b \nJOIN bss_service_area sa ON b.service_area_id = sa.id \nWHERE b.delete_ts IS NULL \nGROUP BY sa.service_area_name \nORDER BY 档口数量 DESC \nLIMIT 1;",
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+            "name": "valid_sql",
+            "type": "tool_call"
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+        "type": "ai"
+      },
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+        "type": "tool"
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+                  "type": "ai"
+                }
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+              "question": "请问这个服务区有几个餐饮档口？"
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+            "name": "generate_sql",
+            "type": "tool_call"
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+      {
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+        "type": "tool"
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+            "name": "valid_sql",
+            "type": "tool_call"
+          }
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+        "type": "ai"
+      },
+      {
+        "content": "SQL验证通过：语法正确且字段存在",
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+        "type": "tool"
+      },
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+        "content": "",
+        "tool_calls": [
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+        "type": "ai"
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+        "type": "tool"
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+        "content": "南城服务区共有6个餐饮档口。",
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+        "type": "ai"
+      },
+      {
+        "content": "请问这个服务区属于哪个管理公司？",
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+        "type": "human"
+      },
+      {
+        "content": "",
+        "tool_calls": [
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+            "args": {
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+                  "content": "请问系统中哪个服务区档口最多？",
+                  "type": "human"
+                },
+                {
+                  "content": "系统中档口最多的服务区是“南城服务区”，共有39个档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区有几个餐饮档口？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区共有6个餐饮档口。",
+                  "type": "ai"
+                }
+              ],
+              "question": "请问这个服务区属于哪个管理公司？"
+            },
+            "id": "call_6ef648b63159487caf2bbc",
+            "name": "generate_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SELECT c.company_name AS 管理公司 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE sa.service_area_name = '南城服务区' AND sa.delete_ts IS NULL AND c.delete_ts IS NULL;",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT c.company_name AS 管理公司 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE sa.service_area_name = '南城服务区' AND sa.delete_ts IS NULL AND c.delete_ts IS NULL;"
+            },
+            "id": "call_b44aeb9830c746aa9c8275",
+            "name": "valid_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SQL验证通过：语法正确且字段存在",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT c.company_name AS 管理公司 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE sa.service_area_name = '南城服务区' AND sa.delete_ts IS NULL AND c.delete_ts IS NULL;"
+            },
+            "id": "call_13d3a8c66c19403ab1fd65",
+            "name": "run_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "[{\"\\u7ba1\\u7406\\u516c\\u53f8\":\"\\u629a\\u5dde\\u5206\\u516c\\u53f8\"}]",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "南城服务区属于“抚州分公司”管理。",
+        "tool_calls": [],
+        "type": "ai"
+      },
+      {
+        "content": "请问这个抚州分公司管理几个服务区？",
+        "tool_calls": null,
+        "type": "human"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "history_messages": [
+                {
+                  "content": "请问系统中哪个服务区档口最多？",
+                  "type": "human"
+                },
+                {
+                  "content": "系统中档口最多的服务区是“南城服务区”，共有39个档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区有几个餐饮档口？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区共有6个餐饮档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区属于哪个管理公司？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区属于“抚州分公司”管理。",
+                  "type": "ai"
+                }
+              ],
+              "question": "请问这个抚州分公司管理几个服务区？"
+            },
+            "id": "call_989edf48f8df4438bfe1fb",
+            "name": "generate_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SELECT COUNT(*) AS 服务区数量 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE c.company_name = '抚州分公司' AND sa.delete_ts IS NULL;",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT COUNT(*) AS 服务区数量 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE c.company_name = '抚州分公司' AND sa.delete_ts IS NULL;"
+            },
+            "id": "call_2d0bb63fa9734577b634f4",
+            "name": "valid_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SQL验证通过：语法正确且字段存在",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT COUNT(*) AS 服务区数量 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE c.company_name = '抚州分公司' AND sa.delete_ts IS NULL;"
+            },
+            "id": "call_fc4f28a4e1694c8f9084af",
+            "name": "run_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "[{\"\\u670d\\u52a1\\u533a\\u6570\\u91cf\":12}]",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "抚州分公司目前管理着12个服务区。",
+        "tool_calls": [],
+        "type": "ai"
+      },
+      {
+        "content": "请问中国高速公路充电桩共有多少个?",
+        "tool_calls": null,
+        "type": "human"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "history_messages": [
+                {
+                  "content": "请问系统中哪个服务区档口最多？",
+                  "type": "human"
+                },
+                {
+                  "content": "系统中档口最多的服务区是“南城服务区”，共有39个档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区有几个餐饮档口？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区共有6个餐饮档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区属于哪个管理公司？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区属于“抚州分公司”管理。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个抚州分公司管理几个服务区？",
+                  "type": "human"
+                },
+                {
+                  "content": "抚州分公司目前管理着12个服务区。",
+                  "type": "ai"
+                }
+              ],
+              "question": "请问中国高速公路充电桩共有多少个?"
+            },
+            "id": "call_e4a0fba988a848ddbb95b5",
+            "name": "generate_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "Database query failed. Reason: 提供的上下文未包含充电桩相关数据表或字段，无法统计中国高速公路充电桩总数。需要补充充电桩信息存储表结构（如充电桩编码、所属服务区ID、状态等字段）后方可进行统计分析。",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "中国高速公路的充电桩数量是一个动态变化的数据，具体总数会随着新充电桩的建设和旧设备的淘汰而变化。根据2023年的数据，中国高速公路沿线已建成超过**2万个充电桩**，覆盖了全国主要的高速公路网络。这一数字由中国国家电网公司和各地交通管理部门共同维护，并持续增长中。\n\n如需获取最新的充电桩数量和分布情况，建议查询中国国家电网公司或交通运输部发布的最新统计数据。",
+        "tool_calls": [],
+        "type": "ai"
+      }
+    ],
+    "thread_id": "wang10:20250717211620915",
+    "user_id": "wang10"
+  },
+  "success": true,
+  "timestamp": "2025-07-19T11:55:43.942292"
+}

api_response_with_tools.json

@@ -0,0 +1,397 @@
+{
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+    "messages": [
+      {
+        "content": "请问系统中哪个服务区档口最多？",
+        "tool_calls": null,
+        "type": "human"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "history_messages": [],
+              "question": "请问系统中哪个服务区档口最多？"
+            },
+            "id": "call_d5af6e8c32584f75b919c5",
+            "name": "generate_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SELECT sa.service_area_name AS 服务区名称, COUNT(b.id) AS 档口数量 \nFROM bss_branch b \nJOIN bss_service_area sa ON b.service_area_id = sa.id \nWHERE b.delete_ts IS NULL \nGROUP BY sa.service_area_name \nORDER BY 档口数量 DESC \nLIMIT 1;",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT sa.service_area_name AS 系统中哪个服务区档口最多？, COUNT(b.id) AS 档口数量 \nFROM bss_branch b \nJOIN bss_service_area sa ON b.service_area_id = sa.id \nWHERE b.delete_ts IS NULL \nGROUP BY sa.service_area_name \nORDER BY 档口数量 DESC \nLIMIT 1;"
+            },
+            "id": "call_f439ef1e9a6f478ba82b7e",
+            "name": "valid_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SQL验证通过：语法正确且字段存在",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT sa.service_area_name AS 服务区名称, COUNT(b.id) AS 档口数量 \nFROM bss_branch b \nJOIN bss_service_area sa ON b.service_area_id = sa.id \nWHERE b.delete_ts IS NULL \nGROUP BY sa.service_area_name \nORDER BY 档口数量 DESC \nLIMIT 1;"
+            },
+            "id": "call_404f72df6c784c468745d2",
+            "name": "run_sql",
+            "type": "tool_call"
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+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "系统中档口最多的服务区是“南城服务区”，共有39个档口。",
+        "tool_calls": [],
+        "type": "ai"
+      },
+      {
+        "content": "请问这个服务区有几个餐饮档口？",
+        "tool_calls": null,
+        "type": "human"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
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+                {
+                  "content": "请问系统中哪个服务区档口最多？",
+                  "type": "human"
+                },
+                {
+                  "content": "系统中档口最多的服务区是“南城服务区”，共有39个档口。",
+                  "type": "ai"
+                }
+              ],
+              "question": "请问这个服务区有几个餐饮档口？"
+            },
+            "id": "call_5b56370f16d74020869270",
+            "name": "generate_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SELECT COUNT(*) AS 餐饮档口数量 FROM bss_branch b JOIN bss_service_area sa ON b.service_area_id = sa.id WHERE sa.service_area_name = '南城服务区' AND b.classify = '餐饮' AND b.delete_ts IS NULL;",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT COUNT(*) AS 餐饮档口数量 FROM bss_branch b JOIN bss_service_area sa ON b.service_area_id = sa.id WHERE sa.service_area_name = '南城服务区' AND b.classify = '餐饮' AND b.delete_ts IS NULL;"
+            },
+            "id": "call_8b91fa05949746a4b554d2",
+            "name": "valid_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SQL验证通过：语法正确且字段存在",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT COUNT(*) AS 餐饮档口数量 FROM bss_branch b JOIN bss_service_area sa ON b.service_area_id = sa.id WHERE sa.service_area_name = '南城服务区' AND b.classify = '餐饮' AND b.delete_ts IS NULL;"
+            },
+            "id": "call_0055c7d1a25d4884b940f7",
+            "name": "run_sql",
+            "type": "tool_call"
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+        ],
+        "type": "ai"
+      },
+      {
+        "content": "[{\"\\u9910\\u996e\\u6863\\u53e3\\u6570\\u91cf\":6}]",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "南城服务区共有6个餐饮档口。",
+        "tool_calls": [],
+        "type": "ai"
+      },
+      {
+        "content": "请问这个服务区属于哪个管理公司？",
+        "tool_calls": null,
+        "type": "human"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "history_messages": [
+                {
+                  "content": "请问系统中哪个服务区档口最多？",
+                  "type": "human"
+                },
+                {
+                  "content": "系统中档口最多的服务区是“南城服务区”，共有39个档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区有几个餐饮档口？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区共有6个餐饮档口。",
+                  "type": "ai"
+                }
+              ],
+              "question": "请问这个服务区属于哪个管理公司？"
+            },
+            "id": "call_6ef648b63159487caf2bbc",
+            "name": "generate_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SELECT c.company_name AS 管理公司 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE sa.service_area_name = '南城服务区' AND sa.delete_ts IS NULL AND c.delete_ts IS NULL;",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT c.company_name AS 管理公司 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE sa.service_area_name = '南城服务区' AND sa.delete_ts IS NULL AND c.delete_ts IS NULL;"
+            },
+            "id": "call_b44aeb9830c746aa9c8275",
+            "name": "valid_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SQL验证通过：语法正确且字段存在",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT c.company_name AS 管理公司 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE sa.service_area_name = '南城服务区' AND sa.delete_ts IS NULL AND c.delete_ts IS NULL;"
+            },
+            "id": "call_13d3a8c66c19403ab1fd65",
+            "name": "run_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "[{\"\\u7ba1\\u7406\\u516c\\u53f8\":\"\\u629a\\u5dde\\u5206\\u516c\\u53f8\"}]",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "南城服务区属于“抚州分公司”管理。",
+        "tool_calls": [],
+        "type": "ai"
+      },
+      {
+        "content": "请问这个抚州分公司管理几个服务区？",
+        "tool_calls": null,
+        "type": "human"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "history_messages": [
+                {
+                  "content": "请问系统中哪个服务区档口最多？",
+                  "type": "human"
+                },
+                {
+                  "content": "系统中档口最多的服务区是“南城服务区”，共有39个档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区有几个餐饮档口？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区共有6个餐饮档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区属于哪个管理公司？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区属于“抚州分公司”管理。",
+                  "type": "ai"
+                }
+              ],
+              "question": "请问这个抚州分公司管理几个服务区？"
+            },
+            "id": "call_989edf48f8df4438bfe1fb",
+            "name": "generate_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SELECT COUNT(*) AS 服务区数量 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE c.company_name = '抚州分公司' AND sa.delete_ts IS NULL;",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT COUNT(*) AS 服务区数量 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE c.company_name = '抚州分公司' AND sa.delete_ts IS NULL;"
+            },
+            "id": "call_2d0bb63fa9734577b634f4",
+            "name": "valid_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "SQL验证通过：语法正确且字段存在",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "sql": "SELECT COUNT(*) AS 服务区数量 FROM bss_service_area sa JOIN bss_company c ON sa.company_id = c.id WHERE c.company_name = '抚州分公司' AND sa.delete_ts IS NULL;"
+            },
+            "id": "call_fc4f28a4e1694c8f9084af",
+            "name": "run_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "[{\"\\u670d\\u52a1\\u533a\\u6570\\u91cf\":12}]",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "抚州分公司目前管理着12个服务区。",
+        "tool_calls": [],
+        "type": "ai"
+      },
+      {
+        "content": "请问中国高速公路充电桩共有多少个?",
+        "tool_calls": null,
+        "type": "human"
+      },
+      {
+        "content": "",
+        "tool_calls": [
+          {
+            "args": {
+              "history_messages": [
+                {
+                  "content": "请问系统中哪个服务区档口最多？",
+                  "type": "human"
+                },
+                {
+                  "content": "系统中档口最多的服务区是“南城服务区”，共有39个档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区有几个餐饮档口？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区共有6个餐饮档口。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个服务区属于哪个管理公司？",
+                  "type": "human"
+                },
+                {
+                  "content": "南城服务区属于“抚州分公司”管理。",
+                  "type": "ai"
+                },
+                {
+                  "content": "请问这个抚州分公司管理几个服务区？",
+                  "type": "human"
+                },
+                {
+                  "content": "抚州分公司目前管理着12个服务区。",
+                  "type": "ai"
+                }
+              ],
+              "question": "请问中国高速公路充电桩共有多少个?"
+            },
+            "id": "call_e4a0fba988a848ddbb95b5",
+            "name": "generate_sql",
+            "type": "tool_call"
+          }
+        ],
+        "type": "ai"
+      },
+      {
+        "content": "Database query failed. Reason: 提供的上下文未包含充电桩相关数据表或字段，无法统计中国高速公路充电桩总数。需要补充充电桩信息存储表结构（如充电桩编码、所属服务区ID、状态等字段）后方可进行统计分析。",
+        "tool_calls": null,
+        "type": "tool"
+      },
+      {
+        "content": "中国高速公路的充电桩数量是一个动态变化的数据，具体总数会随着新充电桩的建设和旧设备的淘汰而变化。根据2023年的数据，中国高速公路沿线已建成超过**2万个充电桩**，覆盖了全国主要的高速公路网络。这一数字由中国国家电网公司和各地交通管理部门共同维护，并持续增长中。\n\n如需获取最新的充电桩数量和分布情况，建议查询中国国家电网公司或交通运输部发布的最新统计数据。",
+        "tool_calls": [],
+        "type": "ai"
+      }
+    ],
+    "thread_id": "wang10:20250717211620915",
+    "user_id": "wang10"
+  },
+  "success": true,
+  "timestamp": "2025-07-19T11:55:46.039648"
+}

react_agent/agent.py

@@ -1019,41 +1019,133 @@ class CustomReactAgent:
                 logger.error(f"❌ 处理过程中发生严重错误 - Thread: {thread_id}: {e}", exc_info=True)
                 return {"success": False, "error": str(e), "thread_id": thread_id}
     
-    async def get_conversation_history(self, thread_id: str) -> List[Dict[str, Any]]:
-        """从 checkpointer 获取指定线程的对话历史。"""
+    async def get_conversation_history(self, thread_id: str, include_tools: bool = False) -> Dict[str, Any]:
+        """
+        从 checkpointer 获取指定线程的对话历史，支持消息过滤和时间戳。
+        
+        Args:
+            thread_id: 线程ID
+            include_tools: 是否包含工具消息，默认False（只返回human和ai消息）
+            
+        Returns:
+            Dict包含: {
+                "messages": List[Dict],  # 消息列表
+                "thread_created_at": str,  # 线程创建时间
+                "total_checkpoints": int   # 总checkpoint数
+            }
+        """
         if not self.checkpointer:
-            return []
+            return {"messages": [], "thread_created_at": None, "total_checkpoints": 0}
         
         thread_config = {"configurable": {"thread_id": thread_id}}
+        
         try:
-            conversation_state = await self.checkpointer.aget(thread_config)
+            # 获取所有历史checkpoint，按时间倒序
+            checkpoints = []
+            async for checkpoint_tuple in self.checkpointer.alist(thread_config):
+                checkpoints.append(checkpoint_tuple)
+            
+            if not checkpoints:
+                return {"messages": [], "thread_created_at": None, "total_checkpoints": 0}
+            
+            # 解析thread_id中的创建时间
+            thread_created_at = self._parse_thread_creation_time(thread_id)
+            
+            # 构建消息到时间戳的映射
+            message_timestamps = self._build_message_timestamp_map(checkpoints)
+            
+            # 获取最新状态的消息
+            latest_checkpoint = checkpoints[0]
+            messages = latest_checkpoint.checkpoint.get('channel_values', {}).get('messages', [])
+            
+            # 过滤和格式化消息
+            filtered_messages = []
+            for msg in messages:
+                # 确定消息类型
+                if isinstance(msg, HumanMessage):
+                    msg_type = "human"
+                elif isinstance(msg, ToolMessage):
+                    if not include_tools:
+                        continue  # 跳过工具消息
+                    msg_type = "tool"
+                else:  # AIMessage
+                    msg_type = "ai"
+                    # 如果不包含工具消息，跳过只有工具调用没有内容的AI消息
+                    if not include_tools and (not msg.content and hasattr(msg, 'tool_calls') and msg.tool_calls):
+                        continue
+                
+                # 获取消息ID
+                msg_id = getattr(msg, 'id', None)
+                if not msg_id:
+                    continue  # 跳过没有ID的消息
+                
+                # 获取时间戳
+                timestamp = message_timestamps.get(msg_id)
+                if not timestamp:
+                    # 如果没有找到精确时间戳，使用最新checkpoint的时间
+                    timestamp = latest_checkpoint.checkpoint.get('ts')
+                
+                filtered_messages.append({
+                    "id": msg_id,
+                    "type": msg_type,
+                    "content": msg.content,
+                    "timestamp": timestamp
+                })
+            
+            return {
+                "messages": filtered_messages,
+                "thread_created_at": thread_created_at,
+                "total_checkpoints": len(checkpoints)
+            }
+            
         except RuntimeError as e:
             if "Event loop is closed" in str(e):
                 logger.warning(f"⚠️ Event loop已关闭，尝试重新获取对话历史: {thread_id}")
-                # 如果事件循环关闭，返回空结果而不是抛出异常
-                return []
+                return {"messages": [], "thread_created_at": None, "total_checkpoints": 0}
             else:
                 raise
+        except Exception as e:
+            logger.error(f"❌ 获取对话历史失败: {e}")
+            return {"messages": [], "thread_created_at": None, "total_checkpoints": 0}
+    
+    def _parse_thread_creation_time(self, thread_id: str) -> str:
+        """解析thread_id中的创建时间，返回带毫秒的格式"""
+        try:
+            if ':' in thread_id:
+                parts = thread_id.split(':')
+                if len(parts) >= 2:
+                    timestamp_part = parts[1]
+                    if len(timestamp_part) >= 14:
+                        year = timestamp_part[:4]
+                        month = timestamp_part[4:6] 
+                        day = timestamp_part[6:8]
+                        hour = timestamp_part[8:10]
+                        minute = timestamp_part[10:12]
+                        second = timestamp_part[12:14]
+                        ms = timestamp_part[14:17] if len(timestamp_part) > 14 else "000"
+                        return f"{year}-{month}-{day} {hour}:{minute}:{second}.{ms}"
+        except Exception as e:
+            logger.warning(f"⚠️ 解析thread创建时间失败: {e}")
+        return None
+    
+    def _build_message_timestamp_map(self, checkpoints: List) -> Dict[str, str]:
+        """构建消息ID到时间戳的映射"""
+        message_timestamps = {}
         
-        if not conversation_state:
-            return []
-            
-        history = []
-        messages = conversation_state.get('channel_values', {}).get('messages', [])
-        for msg in messages:
-            if isinstance(msg, HumanMessage):
-                role = "human"
-            elif isinstance(msg, ToolMessage):
-                role = "tool"
-            else: # AIMessage
-                role = "ai"
+        # 按时间正序排列checkpoint（最早的在前）
+        checkpoints_sorted = sorted(checkpoints, key=lambda x: x.checkpoint.get('ts', ''))
+        
+        for checkpoint_tuple in checkpoints_sorted:
+            checkpoint_ts = checkpoint_tuple.checkpoint.get('ts')
+            messages = checkpoint_tuple.checkpoint.get('channel_values', {}).get('messages', [])
             
-            history.append({
-                "type": role,
-                "content": msg.content,
-                "tool_calls": getattr(msg, 'tool_calls', None)
-            })
-        return history 
+            # 为这个checkpoint中的新消息分配时间戳
+            for msg in messages:
+                msg_id = getattr(msg, 'id', None)
+                if msg_id and msg_id not in message_timestamps:
+                    message_timestamps[msg_id] = checkpoint_ts
+        
+        return message_timestamps 
 
     async def get_user_recent_conversations(self, user_id: str, limit: int = 10) -> List[Dict[str, Any]]:
         """
@@ -1147,15 +1239,23 @@ class CustomReactAgent:
                         # 生成对话预览
                         preview = self._generate_conversation_preview(messages)
                         
+                        # 获取最后一条用户消息
+                        last_human_message = None
+                        if messages:
+                            for msg in reversed(messages):
+                                if isinstance(msg, HumanMessage):
+                                    last_human_message = msg.content
+                                    break
+                        
                         conversations.append({
+                            "conversation_id": thread_id,
                             "thread_id": thread_id,
                             "user_id": user_id,
-                            "timestamp": thread_info["timestamp"],
                             "message_count": len(messages),
-                            "last_message": messages[-1].content if messages else None,
-                            "last_updated": state.get('created_at'),
-                            "conversation_preview": preview,
-                            "formatted_time": self._format_timestamp(thread_info["timestamp"])
+                            "last_message": last_human_message,
+                            "updated_at": self._format_utc_to_china_time(state.get('ts')) if state.get('ts') else None,
+                            "conversation_title": preview,
+                            "created_at": self._format_timestamp(thread_info["timestamp"])
                         })
                         
                 except Exception as e:
@@ -1183,7 +1283,7 @@ class CustomReactAgent:
         return "系统消息"
 
     def _format_timestamp(self, timestamp: str) -> str:
-        """格式化时间戳为可读格式"""
+        """格式化时间戳为可读格式，包含毫秒"""
         try:
             # timestamp格式: 20250710123137984
             if len(timestamp) >= 14:
@@ -1193,10 +1293,31 @@ class CustomReactAgent:
                 hour = timestamp[8:10]
                 minute = timestamp[10:12]
                 second = timestamp[12:14]
-                return f"{year}-{month}-{day} {hour}:{minute}:{second}"
+                # 提取毫秒部分（如果存在）
+                millisecond = timestamp[14:17] if len(timestamp) > 14 else "000"
+                return f"{year}-{month}-{day} {hour}:{minute}:{second}.{millisecond}"
         except Exception:
             pass
-        return timestamp 
+        return timestamp
+    
+    def _format_utc_to_china_time(self, utc_time_str: str) -> str:
+        """将UTC时间转换为中国时区时间格式"""
+        try:
+            from datetime import datetime, timezone, timedelta
+            
+            # 解析UTC时间字符串
+            # 格式: "2025-07-17T13:21:52.868292+00:00"
+            dt = datetime.fromisoformat(utc_time_str.replace('Z', '+00:00'))
+            
+            # 转换为中国时区 (UTC+8)
+            china_tz = timezone(timedelta(hours=8))
+            china_time = dt.astimezone(china_tz)
+            
+            # 格式化为目标格式: "2025-07-17 21:12:02.456"
+            return china_time.strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]  # 只保留3位毫秒
+        except Exception as e:
+            logger.warning(f"时间格式转换失败: {e}")
+            return utc_time_str 
 
     def _get_database_scope_prompt(self) -> str:
         """Get database scope prompt for intelligent query decision making"""

test/custom_react_agent/agent.py

@@ -1002,15 +1002,23 @@ class CustomReactAgent:
                         # 生成对话预览
                         preview = self._generate_conversation_preview(messages)
                         
+                        # 获取最后一条用户消息
+                        last_human_message = None
+                        if messages:
+                            for msg in reversed(messages):
+                                if isinstance(msg, HumanMessage):
+                                    last_human_message = msg.content
+                                    break
+                        
                         conversations.append({
+                            "conversation_id": thread_id,
                             "thread_id": thread_id,
                             "user_id": user_id,
-                            "timestamp": thread_info["timestamp"],
                             "message_count": len(messages),
-                            "last_message": messages[-1].content if messages else None,
-                            "last_updated": state.get('created_at'),
-                            "conversation_preview": preview,
-                            "formatted_time": self._format_timestamp(thread_info["timestamp"])
+                            "last_message": last_human_message,
+                            "updated_at": self._format_utc_to_china_time(state.get('ts')) if state.get('ts') else None,
+                            "conversation_title": preview,
+                            "created_at": self._format_timestamp(thread_info["timestamp"])
                         })
                         
                 except Exception as e:
@@ -1038,7 +1046,7 @@ class CustomReactAgent:
         return "系统消息"
 
     def _format_timestamp(self, timestamp: str) -> str:
-        """格式化时间戳为可读格式"""
+        """格式化时间戳为可读格式，包含毫秒"""
         try:
             # timestamp格式: 20250710123137984
             if len(timestamp) >= 14:
@@ -1048,10 +1056,31 @@ class CustomReactAgent:
                 hour = timestamp[8:10]
                 minute = timestamp[10:12]
                 second = timestamp[12:14]
-                return f"{year}-{month}-{day} {hour}:{minute}:{second}"
+                # 提取毫秒部分（如果存在）
+                millisecond = timestamp[14:17] if len(timestamp) > 14 else "000"
+                return f"{year}-{month}-{day} {hour}:{minute}:{second}.{millisecond}"
         except Exception:
             pass
-        return timestamp 
+        return timestamp
+    
+    def _format_utc_to_china_time(self, utc_time_str: str) -> str:
+        """将UTC时间转换为中国时区时间格式"""
+        try:
+            from datetime import datetime, timezone, timedelta
+            
+            # 解析UTC时间字符串
+            # 格式: "2025-07-17T13:21:52.868292+00:00"
+            dt = datetime.fromisoformat(utc_time_str.replace('Z', '+00:00'))
+            
+            # 转换为中国时区 (UTC+8)
+            china_tz = timezone(timedelta(hours=8))
+            china_time = dt.astimezone(china_tz)
+            
+            # 格式化为目标格式: "2025-07-17 21:12:02.456"
+            return china_time.strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]  # 只保留3位毫秒
+        except Exception as e:
+            logger.warning(f"时间格式转换失败: {e}")
+            return utc_time_str 
 
     def _get_database_scope_prompt(self) -> str:
         """Get database scope prompt for intelligent query decision making"""

test_api_analysis.py

@@ -0,0 +1,221 @@
+#!/usr/bin/env python3
+"""
+测试当前API的真实输出，分析数据结构以确定是否能满足需求
+"""
+import requests
+import json
+from datetime import datetime
+
+def test_current_api():
+    """测试当前的对话历史API"""
+    print("=" * 60)
+    print("测试当前API的真实输出")
+    print("=" * 60)
+    
+    # API URL
+    api_url = "http://localhost:8084/api/v0/react/users/wang10/conversations/wang10:20250717211620915"
+    
+    try:
+        print(f"📡 调用API: {api_url}")
+        response = requests.get(api_url, timeout=30)
+        
+        print(f"📊 状态码: {response.status_code}")
+        print(f"📄 响应头: {dict(response.headers)}")
+        
+        if response.status_code == 200:
+            data = response.json()
+            print(f"✅ API调用成功")
+            print(f"📋 响应数据结构分析:")
+            analyze_response_structure(data)
+            
+            # 分析消息结构
+            if 'data' in data and 'messages' in data['data']:
+                analyze_messages(data['data']['messages'])
+            
+            # 保存完整响应到文件
+            with open('api_response_full.json', 'w', encoding='utf-8') as f:
+                json.dump(data, f, ensure_ascii=False, indent=2)
+            print(f"💾 完整响应已保存到 api_response_full.json")
+            
+        else:
+            print(f"❌ API调用失败: {response.status_code}")
+            print(f"📄 错误响应: {response.text}")
+            
+    except requests.exceptions.RequestException as e:
+        print(f"❌ 网络请求失败: {e}")
+    except Exception as e:
+        print(f"❌ 其他错误: {e}")
+
+def analyze_response_structure(data):
+    """分析响应数据结构"""
+    print(f"   🔍 顶级键: {list(data.keys())}")
+    
+    if 'data' in data:
+        data_section = data['data']
+        print(f"   🔍 data部分键: {list(data_section.keys())}")
+        
+        if 'message_count' in data_section:
+            print(f"   📊 消息总数: {data_section['message_count']}")
+        
+        if 'messages' in data_section:
+            messages = data_section['messages']
+            print(f"   📊 消息列表长度: {len(messages)}")
+
+def analyze_messages(messages):
+    """详细分析消息结构"""
+    print(f"\n📨 消息详细分析:")
+    print(f"   总消息数: {len(messages)}")
+    
+    # 统计消息类型
+    message_types = {}
+    has_id_count = 0
+    has_timestamp_count = 0
+    has_tool_calls_count = 0
+    
+    print(f"\n   前5条消息样例:")
+    for i, msg in enumerate(messages[:5]):
+        print(f"   消息 {i+1}:")
+        print(f"     类型: {msg.get('type', 'unknown')}")
+        print(f"     内容长度: {len(str(msg.get('content', '')))}")
+        print(f"     是否有ID: {'id' in msg}")
+        print(f"     是否有时间戳: {'timestamp' in msg}")
+        print(f"     是否有工具调用: {'tool_calls' in msg}")
+        
+        if 'id' in msg:
+            print(f"     ID值: {msg['id']}")
+        if 'timestamp' in msg:
+            print(f"     时间戳: {msg['timestamp']}")
+        if 'tool_calls' in msg and msg['tool_calls']:
+            print(f"     工具调用数量: {len(msg['tool_calls']) if isinstance(msg['tool_calls'], list) else 'non-list'}")
+        
+        print(f"     所有字段: {list(msg.keys())}")
+        print()
+    
+    # 统计所有消息的类型和字段
+    for msg in messages:
+        msg_type = msg.get('type', 'unknown')
+        message_types[msg_type] = message_types.get(msg_type, 0) + 1
+        
+        if 'id' in msg:
+            has_id_count += 1
+        if 'timestamp' in msg:
+            has_timestamp_count += 1
+        if 'tool_calls' in msg:
+            has_tool_calls_count += 1
+    
+    print(f"   📊 消息类型统计: {message_types}")
+    print(f"   📊 包含ID的消息数: {has_id_count}/{len(messages)}")
+    print(f"   📊 包含时间戳的消息数: {has_timestamp_count}/{len(messages)}")
+    print(f"   📊 包含工具调用的消息数: {has_tool_calls_count}/{len(messages)}")
+
+def test_with_parameters():
+    """测试带参数的API调用（虽然可能不支持）"""
+    print("\n" + "=" * 60)
+    print("测试带参数的API调用")
+    print("=" * 60)
+    
+    base_url = "http://localhost:8084/api/v0/react/users/wang10/conversations/wang10:20250717211620915"
+    
+    test_params = [
+        {},
+        {"include_tools": "false"},
+        {"simplified": "true"},
+        {"include_tools": "false", "simplified": "true"}
+    ]
+    
+    for i, params in enumerate(test_params):
+        print(f"\n🧪 测试 {i+1}: 参数 = {params}")
+        
+        try:
+            response = requests.get(base_url, params=params, timeout=10)
+            print(f"   状态码: {response.status_code}")
+            
+            if response.status_code == 200:
+                data = response.json()
+                message_count = data.get('data', {}).get('message_count', 0)
+                print(f"   消息数量: {message_count}")
+                
+                # 检查是否有参数相关的字段
+                data_section = data.get('data', {})
+                if 'mode' in data_section:
+                    print(f"   模式: {data_section['mode']}")
+                if 'include_tools' in data_section:
+                    print(f"   include_tools: {data_section['include_tools']}")
+                if 'simplified' in data_section:
+                    print(f"   simplified: {data_section['simplified']}")
+            else:
+                print(f"   失败: {response.text[:100]}")
+                
+        except Exception as e:
+            print(f"   错误: {e}")
+
+def analyze_feasibility():
+    """基于实际数据分析可行性"""
+    print("\n" + "=" * 60)
+    print("需求可行性分析")
+    print("=" * 60)
+    
+    try:
+        with open('api_response_full.json', 'r', encoding='utf-8') as f:
+            data = json.load(f)
+        
+        messages = data.get('data', {}).get('messages', [])
+        
+        print(f"📋 基于 {len(messages)} 条消息的分析:")
+        
+        # 需求1: 过滤消息类型
+        human_messages = [msg for msg in messages if msg.get('type') == 'human']
+        ai_messages = [msg for msg in messages if msg.get('type') == 'ai']
+        tool_messages = [msg for msg in messages if msg.get('type') == 'tool']
+        
+        print(f"\n🎯 需求1 - 消息过滤:")
+        print(f"   Human消息: {len(human_messages)} 条")
+        print(f"   AI消息: {len(ai_messages)} 条")
+        print(f"   Tool消息: {len(tool_messages)} 条")
+        
+        # 分析AI消息中哪些有实际内容
+        ai_with_content = [msg for msg in ai_messages if msg.get('content', '').strip()]
+        ai_with_tools = [msg for msg in ai_messages if msg.get('tool_calls')]
+        
+        print(f"   有内容的AI消息: {len(ai_with_content)} 条")
+        print(f"   有工具调用的AI消息: {len(ai_with_tools)} 条")
+        
+        # 需求2: 时间戳分析
+        print(f"\n🕐 需求2 - 时间戳分析:")
+        messages_with_timestamp = [msg for msg in messages if 'timestamp' in msg]
+        messages_with_id = [msg for msg in messages if 'id' in msg]
+        
+        print(f"   有时间戳的消息: {len(messages_with_timestamp)} 条")
+        print(f"   有ID的消息: {len(messages_with_id)} 条")
+        
+        if messages_with_timestamp:
+            sample_timestamp = messages_with_timestamp[0]['timestamp']
+            print(f"   时间戳样例: {sample_timestamp}")
+            
+        if messages_with_id:
+            sample_id = messages_with_id[0]['id']
+            print(f"   ID样例: {sample_id}")
+        
+        # 可行性结论
+        print(f"\n✅ 可行性结论:")
+        print(f"   需求1 (消息过滤): {'✅ 可行' if human_messages and ai_with_content else '❌ 不可行'}")
+        print(f"   需求2 (真实时间戳): {'✅ 可行' if messages_with_timestamp else '❌ 需要进一步分析'}")
+        
+    except FileNotFoundError:
+        print("❌ 请先运行主测试获取数据")
+    except Exception as e:
+        print(f"❌ 分析失败: {e}")
+
+if __name__ == "__main__":
+    print(f"🚀 开始API分析测试 - {datetime.now()}")
+    
+    # 测试当前API
+    test_current_api()
+    
+    # 测试参数支持
+    test_with_parameters()
+    
+    # 分析可行性
+    analyze_feasibility()
+    
+    print(f"\n🏁 测试完成 - {datetime.now()}") 

test_api_changes.py

@@ -1,106 +0,0 @@
-#!/usr/bin/env python3
-"""
-测试Data Pipeline API的修改
-验证去除db_connection必填参数后的功能
-"""
-
-import requests
-import json
-
-def test_create_task():
-    """测试创建任务（不需要db_connection参数）"""
-    url = "http://localhost:8084/api/v0/data_pipeline/tasks"
-    
-    # 新的请求格式 - 不需要db_connection
-    data = {
-        "table_list_file": "data_pipeline/tables.txt",
-        "business_context": "高速公路服务区管理系统测试",
-        "db_name": "highway_db",  # 可选参数
-        "enable_sql_validation": True,
-        "enable_llm_repair": True,
-        "modify_original_file": True,
-        "enable_training_data_load": True
-    }
-    
-    print("测试创建任务（使用app_config配置的数据库连接）...")
-    print(f"请求数据: {json.dumps(data, ensure_ascii=False, indent=2)}")
-    
-    try:
-        response = requests.post(url, json=data, timeout=10)
-        print(f"响应状态码: {response.status_code}")
-        print(f"响应内容: {json.dumps(response.json(), ensure_ascii=False, indent=2)}")
-        
-        if response.status_code == 201:
-            return response.json().get('data', {}).get('task_id')
-        else:
-            print("任务创建失败")
-            return None
-            
-    except Exception as e:
-        print(f"请求失败: {e}")
-        return None
-
-def test_old_format():
-    """测试旧格式是否还能工作（应该报错）"""
-    url = "http://localhost:8084/api/v0/data_pipeline/tasks"
-    
-    # 旧的请求格式 - 包含db_connection
-    data = {
-        "db_connection": "postgresql://user:pass@host:5432/dbname",
-        "table_list_file": "data_pipeline/tables.txt",
-        "business_context": "测试旧格式"
-    }
-    
-    print("\n测试旧格式（包含db_connection，应该被忽略）...")
-    print(f"请求数据: {json.dumps(data, ensure_ascii=False, indent=2)}")
-    
-    try:
-        response = requests.post(url, json=data, timeout=10)
-        print(f"响应状态码: {response.status_code}")
-        print(f"响应内容: {json.dumps(response.json(), ensure_ascii=False, indent=2)}")
-        
-    except Exception as e:
-        print(f"请求失败: {e}")
-
-def test_missing_params():
-    """测试缺少必需参数的情况"""
-    url = "http://localhost:8084/api/v0/data_pipeline/tasks"
-    
-    # 缺少必需参数
-    data = {
-        "business_context": "只有业务上下文"
-    }
-    
-    print("\n测试缺少必需参数（应该返回400错误）...")
-    print(f"请求数据: {json.dumps(data, ensure_ascii=False, indent=2)}")
-    
-    try:
-        response = requests.post(url, json=data, timeout=10)
-        print(f"响应状态码: {response.status_code}")
-        print(f"响应内容: {json.dumps(response.json(), ensure_ascii=False, indent=2)}")
-        
-    except Exception as e:
-        print(f"请求失败: {e}")
-
-if __name__ == "__main__":
-    print("=" * 60)
-    print("Data Pipeline API 修改测试")
-    print("=" * 60)
-    
-    # 测试新格式
-    task_id = test_create_task()
-    
-    # 测试旧格式
-    test_old_format()
-    
-    # 测试缺少参数
-    test_missing_params()
-    
-    print("\n" + "=" * 60)
-    print("测试完成")
-    print("=" * 60)
-    
-    if task_id:
-        print(f"成功创建的任务ID: {task_id}")
-        print(f"可以通过以下命令查看任务状态:")
-        print(f"curl http://localhost:8084/api/v0/data_pipeline/tasks/{task_id}")

test_api_format.py

@@ -0,0 +1,89 @@
+#!/usr/bin/env python3
+"""
+测试API响应格式是否符合标准化要求
+验证是否包含 code 字段和其他必需字段
+"""
+import requests
+import json
+from datetime import datetime
+
+def test_api_response_format():
+    """测试API响应格式"""
+    base_url = "http://localhost:8084"
+    
+    # 测试用例
+    test_cases = [
+        {
+            "name": "获取用户对话列表",
+            "url": f"{base_url}/api/v0/react/users/wang10/conversations?limit=3",
+            "method": "GET"
+        },
+        {
+            "name": "获取特定对话详情",
+            "url": f"{base_url}/api/v0/react/users/wang10/conversations/wang10:20250717211620915",
+            "method": "GET"
+        }
+    ]
+    
+    print(f"🧪 开始测试API响应格式 - {datetime.now()}")
+    print("=" * 60)
+    
+    for i, test_case in enumerate(test_cases, 1):
+        print(f"\n📋 测试 {i}: {test_case['name']}")
+        print(f"🔗 URL: {test_case['url']}")
+        
+        try:
+            response = requests.get(test_case['url'], timeout=30)
+            
+            print(f"📊 HTTP状态码: {response.status_code}")
+            
+            if response.status_code == 200:
+                try:
+                    data = response.json()
+                    
+                    print(f"✅ JSON解析成功")
+                    
+                    # 检查必需字段
+                    required_fields = ["code", "success", "message", "data"]
+                    missing_fields = []
+                    
+                    for field in required_fields:
+                        if field not in data:
+                            missing_fields.append(field)
+                    
+                    if missing_fields:
+                        print(f"❌ 缺少必需字段: {missing_fields}")
+                    else:
+                        print(f"✅ 所有必需字段都存在")
+                        
+                        # 显示关键字段值
+                        print(f"📋 响应字段:")
+                        print(f"   - code: {data.get('code')}")
+                        print(f"   - success: {data.get('success')}")
+                        print(f"   - message: {data.get('message')}")
+                        print(f"   - data类型: {type(data.get('data'))}")
+                        
+                        if 'data' in data and isinstance(data['data'], dict):
+                            data_keys = list(data['data'].keys())
+                            print(f"   - data字段: {data_keys}")
+                    
+                    # 显示完整响应（格式化）
+                    print(f"\n📄 完整响应:")
+                    print(json.dumps(data, ensure_ascii=False, indent=2))
+                    
+                except json.JSONDecodeError as e:
+                    print(f"❌ JSON解析失败: {e}")
+                    print(f"📄 原始响应: {response.text}")
+            else:
+                print(f"❌ HTTP请求失败")
+                print(f"📄 响应内容: {response.text}")
+                
+        except requests.exceptions.RequestException as e:
+            print(f"❌ 请求异常: {e}")
+        
+        print("-" * 40)
+    
+    print(f"\n🏁 测试完成 - {datetime.now()}")
+
+if __name__ == "__main__":
+    test_api_response_format() 

test_logging.py

@@ -1,120 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-"""
-日志系统测试脚本
-用于验证日志服务改造是否成功
-"""
-
-import os
-import sys
-import time
-from pathlib import Path
-
-# 添加项目根目录到Python路径
-project_root = Path(__file__).parent
-sys.path.insert(0, str(project_root))
-
-def test_logging_system():
-    """测试日志系统的各个功能"""
-    print("=" * 60)
-    print("开始测试日志系统...")
-    print("=" * 60)
-    
-    # 1. 测试日志系统初始化
-    try:
-        from core.logging import initialize_logging, get_app_logger, get_agent_logger, get_vanna_logger, get_data_pipeline_logger
-        from core.logging import set_log_context, clear_log_context
-        
-        # 初始化日志系统
-        initialize_logging()
-        print("✅ 日志系统初始化成功")
-    except Exception as e:
-        print(f"❌ 日志系统初始化失败: {e}")
-        return
-    
-    # 2. 测试各模块的logger
-    print("\n测试各模块的logger...")
-    
-    # App模块
-    try:
-        app_logger = get_app_logger("TestApp")
-        app_logger.info("这是App模块的测试日志")
-        app_logger.warning("这是App模块的警告日志")
-        app_logger.error("这是App模块的错误日志")
-        print("✅ App模块logger测试成功")
-    except Exception as e:
-        print(f"❌ App模块logger测试失败: {e}")
-    
-    # Agent模块
-    try:
-        agent_logger = get_agent_logger("TestAgent")
-        agent_logger.info("这是Agent模块的测试日志")
-        agent_logger.debug("这是Agent模块的调试日志")
-        print("✅ Agent模块logger测试成功")
-    except Exception as e:
-        print(f"❌ Agent模块logger测试失败: {e}")
-    
-    # Vanna模块
-    try:
-        vanna_logger = get_vanna_logger("TestVanna")
-        vanna_logger.info("这是Vanna模块的测试日志")
-        vanna_logger.warning("这是Vanna模块的警告日志")
-        print("✅ Vanna模块logger测试成功")
-    except Exception as e:
-        print(f"❌ Vanna模块logger测试失败: {e}")
-    
-    # Data Pipeline模块
-    try:
-        dp_logger = get_data_pipeline_logger("TestDataPipeline")
-        dp_logger.info("这是Data Pipeline模块的测试日志")
-        dp_logger.error("这是Data Pipeline模块的错误日志")
-        print("✅ Data Pipeline模块logger测试成功")
-    except Exception as e:
-        print(f"❌ Data Pipeline模块logger测试失败: {e}")
-    
-    # 3. 测试上下文功能
-    print("\n测试上下文功能...")
-    try:
-        # 设置上下文
-        set_log_context(user_id="test_user_123", session_id="session_456")
-        app_logger.info("这是带上下文的日志")
-        
-        # 清除上下文
-        clear_log_context()
-        app_logger.info("这是清除上下文后的日志")
-        print("✅ 上下文功能测试成功")
-    except Exception as e:
-        print(f"❌ 上下文功能测试失败: {e}")
-    
-    # 4. 检查日志文件
-    print("\n检查日志文件...")
-    log_dir = Path("logs")
-    expected_files = ["app.log", "agent.log", "vanna.log", "data_pipeline.log"]
-    
-    if log_dir.exists():
-        print(f"日志目录: {log_dir.absolute()}")
-        for log_file in expected_files:
-            file_path = log_dir / log_file
-            if file_path.exists():
-                size = file_path.stat().st_size
-                print(f"✅ {log_file} - 大小: {size} bytes")
-                
-                # 显示最后几行日志
-                try:
-                    with open(file_path, 'r', encoding='utf-8') as f:
-                        lines = f.readlines()
-                        if lines:
-                            print(f"   最新日志: {lines[-1].strip()}")
-                except Exception as e:
-                    print(f"   读取日志失败: {e}")
-            else:
-                print(f"❌ {log_file} - 文件不存在")
-    else:
-        print(f"❌ 日志目录不存在: {log_dir}")
-    
-    print("\n" + "=" * 60)
-    print("日志系统测试完成!")
-    print("=" * 60)
-
-if __name__ == "__main__":
-    test_logging_system() 

test_message_attributes.py

@@ -0,0 +1,121 @@
+#!/usr/bin/env python3
+"""
+测试LangChain消息对象的属性，查看是否包含id和时间戳信息
+"""
+import asyncio
+import sys
+import os
+from pathlib import Path
+
+# 添加项目路径
+project_root = Path(__file__).parent
+sys.path.insert(0, str(project_root))
+
+from react_agent.agent import CustomReactAgent
+
+async def test_message_attributes():
+    """测试消息对象的属性"""
+    print("=" * 60)
+    print("测试LangChain消息对象属性")
+    print("=" * 60)
+    
+    try:
+        # 初始化Agent
+        print("🚀 初始化Agent...")
+        agent = await CustomReactAgent.create()
+        
+        # 获取对话历史
+        thread_id = "wang10:20250717211620915"
+        print(f"📖 获取对话历史: {thread_id}")
+        
+        # 直接从checkpointer获取原始数据
+        thread_config = {"configurable": {"thread_id": thread_id}}
+        conversation_state = await agent.checkpointer.aget(thread_config)
+        
+        if not conversation_state:
+            print("❌ 未找到对话数据")
+            return
+        
+        messages = conversation_state.get('channel_values', {}).get('messages', [])
+        print(f"📊 找到 {len(messages)} 条原始消息")
+        
+        # 分析前5条消息的属性
+        print(f"\n🔍 分析前5条消息的所有属性:")
+        for i, msg in enumerate(messages[:5]):
+            print(f"\n消息 {i+1}:")
+            print(f"  类型: {type(msg).__name__}")
+            print(f"  内容长度: {len(str(msg.content))}")
+            
+            # 获取所有属性
+            all_attrs = dir(msg)
+            # 过滤出非私有属性
+            public_attrs = [attr for attr in all_attrs if not attr.startswith('_')]
+            print(f"  公共属性: {public_attrs}")
+            
+            # 检查关键属性
+            key_attrs = ['id', 'timestamp', 'created_at', 'time', 'date', 'additional_kwargs', 'response_metadata']
+            for attr in key_attrs:
+                if hasattr(msg, attr):
+                    value = getattr(msg, attr)
+                    print(f"  {attr}: {value} (类型: {type(value).__name__})")
+            
+            # 检查additional_kwargs和response_metadata
+            if hasattr(msg, 'additional_kwargs') and msg.additional_kwargs:
+                print(f"  additional_kwargs内容: {msg.additional_kwargs}")
+            
+            if hasattr(msg, 'response_metadata') and msg.response_metadata:
+                print(f"  response_metadata内容: {msg.response_metadata}")
+            
+            # 打印消息的dict表示（如果有的话）
+            if hasattr(msg, 'dict'):
+                try:
+                    msg_dict = msg.dict()
+                    print(f"  dict()方法返回的键: {list(msg_dict.keys())}")
+                except:
+                    pass
+        
+        # 检查conversation_state的其他信息
+        print(f"\n🔍 conversation_state的顶级键: {list(conversation_state.keys())}")
+        
+        # 检查是否有时间戳相关的元数据
+        for key, value in conversation_state.items():
+            if 'time' in key.lower() or 'date' in key.lower() or 'created' in key.lower():
+                print(f"  时间相关字段 {key}: {value}")
+        
+        await agent.close()
+        
+    except Exception as e:
+        print(f"❌ 测试失败: {e}")
+        import traceback
+        traceback.print_exc()
+
+async def test_create_new_message():
+    """测试创建新消息时是否自动添加时间戳"""
+    print(f"\n" + "=" * 60)
+    print("测试新建消息的属性")
+    print("=" * 60)
+    
+    try:
+        from langchain_core.messages import HumanMessage, AIMessage
+        from datetime import datetime
+        import uuid
+        
+        # 创建新消息
+        human_msg = HumanMessage(content="测试消息", id=str(uuid.uuid4()))
+        ai_msg = AIMessage(content="AI回复", id=str(uuid.uuid4()))
+        
+        print("🔍 新建HumanMessage属性:")
+        print(f"  id: {getattr(human_msg, 'id', 'None')}")
+        print(f"  所有属性: {[attr for attr in dir(human_msg) if not attr.startswith('_')]}")
+        
+        print("🔍 新建AIMessage属性:")
+        print(f"  id: {getattr(ai_msg, 'id', 'None')}")
+        print(f"  所有属性: {[attr for attr in dir(ai_msg) if not attr.startswith('_')]}")
+        
+    except Exception as e:
+        print(f"❌ 新消息测试失败: {e}")
+
+if __name__ == "__main__":
+    print(f"🚀 开始消息属性测试 - {asyncio.get_event_loop()}")
+    asyncio.run(test_message_attributes())
+    asyncio.run(test_create_new_message()) 

test_new_api.py

@@ -0,0 +1,103 @@
+#!/usr/bin/env python3
+"""
+测试新的API实现
+"""
+import requests
+import json
+from datetime import datetime
+
+def test_api():
+    """测试新的API端点"""
+    print("=" * 60)
+    print("测试新的API实现")
+    print("=" * 60)
+    
+    base_url = "http://localhost:8084"
+    thread_id = "wang10:20250717211620915"
+    user_id = "wang10"
+    
+    # 测试不包含工具消息的API
+    print(f"\n🚀 测试API (不包含工具消息)...")
+    url = f"{base_url}/api/v0/react/users/{user_id}/conversations/{thread_id}"
+    
+    try:
+        response = requests.get(url, timeout=30)
+        print(f"📊 响应状态码: {response.status_code}")
+        
+        if response.status_code == 200:
+            data = response.json()
+            print(f"✅ API调用成功")
+            print(f"📝 响应结构:")
+            print(f"  success: {data.get('success')}")
+            print(f"  timestamp: {data.get('timestamp')}")
+            
+            if 'data' in data:
+                api_data = data['data']
+                print(f"  data.user_id: {api_data.get('user_id')}")
+                print(f"  data.thread_id: {api_data.get('thread_id')}")
+                print(f"  data.message_count: {api_data.get('message_count')}")
+                print(f"  data.created_at: {api_data.get('created_at')}")
+                print(f"  data.total_checkpoints: {api_data.get('total_checkpoints')}")
+                
+                messages = api_data.get('messages', [])
+                print(f"\n📋 前3条消息:")
+                for i, msg in enumerate(messages[:3]):
+                    print(f"  消息 {i+1}:")
+                    print(f"    id: {msg.get('id')}")
+                    print(f"    type: {msg.get('type')}")
+                    print(f"    timestamp: {msg.get('timestamp')}")
+                    print(f"    content: {msg.get('content', '')[:50]}...")
+            
+            # 保存完整响应到文件
+            with open('api_response_no_tools.json', 'w', encoding='utf-8') as f:
+                json.dump(data, f, ensure_ascii=False, indent=2)
+            print(f"\n💾 完整响应已保存到 api_response_no_tools.json")
+            
+        else:
+            print(f"❌ API调用失败")
+            print(f"响应内容: {response.text}")
+            
+    except Exception as e:
+        print(f"❌ 请求失败: {e}")
+    
+    # 测试包含工具消息的API
+    print(f"\n🚀 测试API (包含工具消息)...")
+    url_with_tools = f"{base_url}/api/v0/react/users/{user_id}/conversations/{thread_id}?include_tools=true"
+    
+    try:
+        response = requests.get(url_with_tools, timeout=30)
+        print(f"📊 响应状态码: {response.status_code}")
+        
+        if response.status_code == 200:
+            data = response.json()
+            print(f"✅ API调用成功")
+            
+            if 'data' in data:
+                api_data = data['data']
+                messages = api_data.get('messages', [])
+                print(f"📝 包含工具消息的总数: {len(messages)}")
+                
+                # 统计消息类型
+                type_counts = {}
+                for msg in messages:
+                    msg_type = msg.get('type', 'unknown')
+                    type_counts[msg_type] = type_counts.get(msg_type, 0) + 1
+                
+                print(f"📊 消息类型统计:")
+                for msg_type, count in type_counts.items():
+                    print(f"  {msg_type}: {count}")
+            
+            # 保存完整响应到文件
+            with open('api_response_with_tools.json', 'w', encoding='utf-8') as f:
+                json.dump(data, f, ensure_ascii=False, indent=2)
+            print(f"\n💾 完整响应已保存到 api_response_with_tools.json")
+            
+        else:
+            print(f"❌ API调用失败")
+            print(f"响应内容: {response.text}")
+            
+    except Exception as e:
+        print(f"❌ 请求失败: {e}")
+
+if __name__ == "__main__":
+    test_api() 

test_new_method.py

@@ -0,0 +1,88 @@
+#!/usr/bin/env python3
+"""
+直接测试新的get_conversation_history方法
+"""
+import asyncio
+import sys
+import json
+from pathlib import Path
+
+# 添加项目路径
+project_root = Path(__file__).parent
+sys.path.insert(0, str(project_root))
+
+from react_agent.agent import CustomReactAgent
+
+async def test_new_method():
+    """测试新的get_conversation_history方法"""
+    print("=" * 60)
+    print("直接测试新的get_conversation_history方法")
+    print("=" * 60)
+    
+    try:
+        # 初始化Agent
+        print("🚀 初始化Agent...")
+        agent = await CustomReactAgent.create()
+        
+        thread_id = "wang10:20250717211620915"
+        print(f"\n📖 测试Thread: {thread_id}")
+        
+        # 测试不包含工具消息
+        print(f"\n🔍 测试不包含工具消息...")
+        result = await agent.get_conversation_history(thread_id, include_tools=False)
+        
+        print(f"📊 结果类型: {type(result)}")
+        print(f"📝 结果键: {list(result.keys()) if isinstance(result, dict) else 'Not a dict'}")
+        
+        if isinstance(result, dict):
+            messages = result.get("messages", [])
+            print(f"💬 消息数量: {len(messages)}")
+            print(f"🕐 线程创建时间: {result.get('thread_created_at')}")
+            print(f"📋 总checkpoint数: {result.get('total_checkpoints')}")
+            
+            if messages:
+                print(f"\n📋 前3条消息:")
+                for i, msg in enumerate(messages[:3]):
+                    print(f"  消息 {i+1}:")
+                    print(f"    id: {msg.get('id')}")
+                    print(f"    type: {msg.get('type')}")
+                    print(f"    timestamp: {msg.get('timestamp')}")
+                    print(f"    content: {str(msg.get('content', ''))[:50]}...")
+            
+            # 保存结果
+            with open('direct_method_test_no_tools.json', 'w', encoding='utf-8') as f:
+                json.dump(result, f, ensure_ascii=False, indent=2)
+            print(f"\n💾 结果已保存到 direct_method_test_no_tools.json")
+        
+        # 测试包含工具消息
+        print(f"\n🔍 测试包含工具消息...")
+        result_with_tools = await agent.get_conversation_history(thread_id, include_tools=True)
+        
+        if isinstance(result_with_tools, dict):
+            messages_with_tools = result_with_tools.get("messages", [])
+            print(f"💬 包含工具的消息数量: {len(messages_with_tools)}")
+            
+            # 统计消息类型
+            type_counts = {}
+            for msg in messages_with_tools:
+                msg_type = msg.get('type', 'unknown')
+                type_counts[msg_type] = type_counts.get(msg_type, 0) + 1
+            
+            print(f"📊 消息类型统计:")
+            for msg_type, count in type_counts.items():
+                print(f"  {msg_type}: {count}")
+            
+            # 保存结果
+            with open('direct_method_test_with_tools.json', 'w', encoding='utf-8') as f:
+                json.dump(result_with_tools, f, ensure_ascii=False, indent=2)
+            print(f"\n💾 结果已保存到 direct_method_test_with_tools.json")
+        
+        await agent.close()
+        
+    except Exception as e:
+        print(f"❌ 测试失败: {e}")
+        import traceback
+        traceback.print_exc()
+
+if __name__ == "__main__":
+    asyncio.run(test_new_method()) 

test_state_history_timestamps.py

@@ -0,0 +1,188 @@
+#!/usr/bin/env python3
+"""
+测试LangGraph StateSnapshot的created_at时间戳
+"""
+import asyncio
+import sys
+from pathlib import Path
+from datetime import datetime
+
+# 添加项目路径
+project_root = Path(__file__).parent
+sys.path.insert(0, str(project_root))
+
+from react_agent.agent import CustomReactAgent
+
+async def test_state_history_timestamps():
+    """测试StateSnapshot的created_at时间戳"""
+    print("=" * 60)
+    print("测试LangGraph StateSnapshot的created_at时间戳")
+    print("=" * 60)
+    
+    try:
+        # 初始化Agent
+        print("🚀 初始化Agent...")
+        agent = await CustomReactAgent.create()
+        
+        thread_id = "wang10:20250717211620915"
+        print(f"\n📖 分析Thread: {thread_id}")
+        
+        # 使用get_state_history获取所有历史状态
+        thread_config = {"configurable": {"thread_id": thread_id}}
+        
+        print(f"🔍 获取状态历史...")
+        # agent_executor是编译后的graph
+        if hasattr(agent, 'agent_executor') and hasattr(agent.agent_executor, 'get_state_history'):
+            print(f"✅ 找到get_state_history方法")
+            
+            # 获取前5个历史状态
+            history_count = 0
+            for state_snapshot in agent.agent_executor.get_state_history(thread_config):
+                history_count += 1
+                if history_count > 5:  # 只看前5个状态
+                    break
+                
+                print(f"\n📊 状态 #{history_count}:")
+                print(f"  🆔 Checkpoint ID: {state_snapshot.config.get('configurable', {}).get('checkpoint_id', 'N/A')}")
+                print(f"  ⏰ Created At: {state_snapshot.created_at}")
+                print(f"  📝 Messages Count: {len(state_snapshot.values.get('messages', []))}")
+                print(f"  🔄 Next: {state_snapshot.next}")
+                print(f"  📋 Step: {state_snapshot.metadata.get('step', 'N/A')}")
+                
+                # 解析时间戳
+                if state_snapshot.created_at:
+                    try:
+                        dt = datetime.fromisoformat(state_snapshot.created_at.replace('Z', '+00:00'))
+                        print(f"  📅 解析后时间: {dt}")
+                        print(f"  🕐 本地时间: {dt.astimezone()}")
+                    except Exception as e:
+                        print(f"  ❌ 时间解析失败: {e}")
+                
+                # 如果有消息，显示最后一条消息的类型
+                messages = state_snapshot.values.get('messages', [])
+                if messages:
+                    last_msg = messages[-1]
+                    msg_type = getattr(last_msg, 'type', 'unknown')
+                    content_preview = str(getattr(last_msg, 'content', ''))[:50]
+                    print(f"  💬 最后消息: {msg_type} - {content_preview}...")
+            
+            if history_count == 0:
+                print("❌ 没有找到历史状态")
+            else:
+                print(f"\n✅ 总共分析了 {history_count} 个历史状态")
+                
+        else:
+            print("❌ 未找到get_state_history方法")
+            print("📝 可用方法:")
+            if hasattr(agent, 'agent_executor'):
+                methods = [m for m in dir(agent.agent_executor) if not m.startswith('_')]
+                print(f"  agent_executor methods: {methods}")
+            
+        await agent.close()
+        
+    except Exception as e:
+        print(f"❌ 测试失败: {e}")
+        import traceback
+        traceback.print_exc()
+
+async def test_current_state_timestamp():
+    """测试当前状态的时间戳"""
+    print(f"\n" + "=" * 60)
+    print("测试当前状态的时间戳")
+    print("=" * 60)
+    
+    try:
+        # 初始化Agent
+        agent = await CustomReactAgent.create()
+        
+        thread_id = "wang10:20250717211620915"
+        thread_config = {"configurable": {"thread_id": thread_id}}
+        
+        print(f"🔍 获取当前状态...")
+        if hasattr(agent, 'agent_executor') and hasattr(agent.agent_executor, 'get_state'):
+            current_state = agent.agent_executor.get_state(thread_config)
+            
+            print(f"📊 当前状态:")
+            print(f"  🆔 Checkpoint ID: {current_state.config.get('configurable', {}).get('checkpoint_id', 'N/A')}")
+            print(f"  ⏰ Created At: {current_state.created_at}")
+            print(f"  📝 Messages Count: {len(current_state.values.get('messages', []))}")
+            print(f"  🔄 Next: {current_state.next}")
+            
+            if current_state.created_at:
+                try:
+                    dt = datetime.fromisoformat(current_state.created_at.replace('Z', '+00:00'))
+                    print(f"  📅 解析后时间: {dt}")
+                    print(f"  🕐 本地时间: {dt.astimezone()}")
+                except Exception as e:
+                    print(f"  ❌ 时间解析失败: {e}")
+        else:
+            print("❌ 未找到get_state方法")
+            
+        await agent.close()
+        
+    except Exception as e:
+        print(f"❌ 测试失败: {e}")
+        import traceback
+        traceback.print_exc()
+
+async def test_checkpointer_access():
+    """测试直接通过checkpointer访问历史"""
+    print(f"\n" + "=" * 60)
+    print("测试通过checkpointer访问历史")
+    print("=" * 60)
+    
+    try:
+        # 初始化Agent
+        agent = await CustomReactAgent.create()
+        
+        thread_id = "wang10:20250717211620915"
+        thread_config = {"configurable": {"thread_id": thread_id}}
+        
+        print(f"🔍 通过checkpointer获取历史...")
+        if hasattr(agent, 'checkpointer') and hasattr(agent.checkpointer, 'alist'):
+            print(f"✅ 找到checkpointer.alist方法")
+            
+            # 获取前5个checkpoint
+            history_count = 0
+            async for checkpoint_tuple in agent.checkpointer.alist(thread_config):
+                history_count += 1
+                if history_count > 5:  # 只看前5个状态
+                    break
+                
+                print(f"\n📊 Checkpoint #{history_count}:")
+                print(f"  🆔 Config: {checkpoint_tuple.config}")
+                print(f"  ⏰ Checkpoint TS: {checkpoint_tuple.checkpoint.get('ts', 'N/A')}")
+                print(f"  📋 Metadata: {checkpoint_tuple.metadata}")
+                
+                # 解析checkpoint中的时间戳
+                ts_value = checkpoint_tuple.checkpoint.get('ts')
+                if ts_value:
+                    try:
+                        dt = datetime.fromisoformat(ts_value.replace('Z', '+00:00'))
+                        print(f"  📅 解析后时间: {dt}")
+                        print(f"  🕐 本地时间: {dt.astimezone()}")
+                    except Exception as e:
+                        print(f"  ❌ 时间解析失败: {e}")
+                
+                # 检查消息
+                messages = checkpoint_tuple.checkpoint.get('channel_values', {}).get('messages', [])
+                print(f"  📝 Messages Count: {len(messages)}")
+                
+            if history_count == 0:
+                print("❌ 没有找到checkpoint历史")
+            else:
+                print(f"\n✅ 总共分析了 {history_count} 个checkpoint")
+        else:
+            print("❌ 未找到checkpointer.alist方法")
+            
+        await agent.close()
+        
+    except Exception as e:
+        print(f"❌ 测试失败: {e}")
+        import traceback
+        traceback.print_exc()
+
+if __name__ == "__main__":
+    asyncio.run(test_state_history_timestamps())
+    asyncio.run(test_current_state_timestamp())
+    asyncio.run(test_checkpointer_access()) 

test_table_inspector_api.py

@@ -1,369 +0,0 @@
-#!/usr/bin/env python3
-"""
-表检查API测试脚本
-
-用于测试新实现的表列表获取API功能
-"""
-
-import requests
-import json
-
-# 测试配置
-API_BASE_URL = "http://localhost:8084"
-ENDPOINT = "/api/v0/database/tables"
-
-def test_get_tables():
-    """测试获取表列表API"""
-    
-    # 测试数据
-    test_cases = [
-        {
-            "name": "测试默认schema（public）",
-            "payload": {
-                "db_connection": "postgresql://postgres:postgres@192.168.67.1:5432/highway_db"
-            },
-            "expected_schemas": ["public"]
-        },
-        {
-            "name": "测试指定单个schema",
-            "payload": {
-                "db_connection": "postgresql://postgres:postgres@192.168.67.1:5432/highway_db",
-                "schema": "public"
-            },
-            "expected_schemas": ["public"]
-        },
-        {
-            "name": "测试多个schema",
-            "payload": {
-                "db_connection": "postgresql://postgres:postgres@192.168.67.1:5432/highway_db",
-                "schema": "public,information_schema"
-            },
-            "expected_schemas": ["public", "information_schema"]
-        },
-        {
-            "name": "测试空schema参数",
-            "payload": {
-                "db_connection": "postgresql://postgres:postgres@192.168.67.1:5432/highway_db",
-                "schema": ""
-            },
-            "expected_schemas": ["public"]
-        }
-    ]
-    
-    print("🧪 开始测试表检查API")
-    print("=" * 50)
-    
-    for i, test_case in enumerate(test_cases, 1):
-        print(f"\n{i}. {test_case['name']}")
-        print("-" * 30)
-        
-        try:
-            # 发送请求
-            response = requests.post(
-                f"{API_BASE_URL}{ENDPOINT}",
-                json=test_case["payload"],
-                headers={"Content-Type": "application/json"},
-                timeout=30
-            )
-            
-            print(f"📤 请求: {json.dumps(test_case['payload'], ensure_ascii=False)}")
-            print(f"📊 状态码: {response.status_code}")
-            
-            if response.status_code == 200:
-                data = response.json()
-                
-                if data.get("success"):
-                    result_data = data.get("data", {})
-                    tables = result_data.get("tables", [])
-                    schemas = result_data.get("schemas", [])
-                    
-                    print(f"✅ 成功")
-                    print(f"📋 返回表数量: {len(tables)}")
-                    print(f"🏷️  查询的schemas: {schemas}")
-                    print(f"📝 前5个表: {tables[:5]}")
-                    
-                    # 验证schema
-                    if schemas == test_case["expected_schemas"]:
-                        print(f"✅ Schema验证通过")
-                    else:
-                        print(f"❌ Schema验证失败: 期望{test_case['expected_schemas']}, 实际{schemas}")
-                        
-                else:
-                    print(f"❌ API返回失败: {data.get('message')}")
-            else:
-                print(f"❌ HTTP错误: {response.status_code}")
-                try:
-                    error_data = response.json()
-                    print(f"   错误信息: {error_data.get('message', 'N/A')}")
-                except:
-                    print(f"   响应内容: {response.text}")
-                    
-        except requests.exceptions.RequestException as e:
-            print(f"❌ 请求异常: {e}")
-        except Exception as e:
-            print(f"❌ 其他错误: {e}")
-
-def test_error_cases():
-    """测试错误情况"""
-    
-    print("\n\n🚨 测试错误情况")
-    print("=" * 50)
-    
-    error_test_cases = [
-        {
-            "name": "缺少db_connection参数",
-            "payload": {
-                "schema": "public"
-            },
-            "expected_status": 400
-        },
-        {
-            "name": "无效的数据库连接",
-            "payload": {
-                "db_connection": "postgresql://invalid:invalid@localhost:5432/invalid"
-            },
-            "expected_status": 500
-        }
-    ]
-    
-    for i, test_case in enumerate(error_test_cases, 1):
-        print(f"\n{i}. {test_case['name']}")
-        print("-" * 30)
-        
-        try:
-            response = requests.post(
-                f"{API_BASE_URL}{ENDPOINT}",
-                json=test_case["payload"],
-                headers={"Content-Type": "application/json"},
-                timeout=10
-            )
-            
-            print(f"📤 请求: {json.dumps(test_case['payload'], ensure_ascii=False)}")
-            print(f"📊 状态码: {response.status_code}")
-            
-            if response.status_code == test_case["expected_status"]:
-                print(f"✅ 错误处理正确")
-            else:
-                print(f"❌ 期望状态码{test_case['expected_status']}, 实际{response.status_code}")
-                
-            # 显示错误信息
-            try:
-                error_data = response.json()
-                print(f"📄 错误信息: {error_data.get('message', 'N/A')}")
-            except:
-                print(f"📄 响应内容: {response.text[:200]}")
-                
-        except requests.exceptions.Timeout:
-            print(f"⏰ 请求超时（这是预期的，对于无效连接）")
-        except Exception as e:
-            print(f"❌ 异常: {e}")
-
-def test_get_table_ddl():
-    """测试获取表DDL API"""
-    
-    print("\n\n🧪 测试表DDL生成API")
-    print("=" * 50)
-    
-    # 测试数据
-    test_cases = [
-        {
-            "name": "测试DDL格式输出",
-            "payload": {
-                "db_connection": "postgresql://postgres:postgres@192.168.67.1:5432/highway_db",
-                "table": "public.bss_company",
-                "business_context": "高速公路服务区管理系统",
-                "type": "ddl"
-            }
-        },
-        {
-            "name": "测试MD格式输出",
-            "payload": {
-                "db_connection": "postgresql://postgres:postgres@192.168.67.1:5432/highway_db",
-                "table": "public.bss_company",
-                "business_context": "高速公路服务区管理系统",
-                "type": "md"
-            }
-        },
-        {
-            "name": "测试同时输出DDL和MD",
-            "payload": {
-                "db_connection": "postgresql://postgres:postgres@192.168.67.1:5432/highway_db",
-                "table": "public.bss_company",
-                "business_context": "高速公路服务区管理系统",
-                "type": "both"
-            }
-        },
-        {
-            "name": "测试不指定业务上下文",
-            "payload": {
-                "db_connection": "postgresql://postgres:postgres@192.168.67.1:5432/highway_db",
-                "table": "public.bss_company",
-                "type": "ddl"
-            }
-        }
-    ]
-    
-    endpoint = "/api/v0/database/table/ddl"
-    
-    for i, test_case in enumerate(test_cases, 1):
-        print(f"\n{i}. {test_case['name']}")
-        print("-" * 30)
-        
-        try:
-            # 发送请求
-            response = requests.post(
-                f"{API_BASE_URL}{endpoint}",
-                json=test_case["payload"],
-                headers={"Content-Type": "application/json"},
-                timeout=60  # DDL生成可能需要更长时间（LLM调用）
-            )
-            
-            print(f"📤 请求: {json.dumps(test_case['payload'], ensure_ascii=False)}")
-            print(f"📊 状态码: {response.status_code}")
-            
-            if response.status_code == 200:
-                data = response.json()
-                
-                if data.get("success"):
-                    result_data = data.get("data", {})
-                    table_info = result_data.get("table_info", {})
-                    generation_info = result_data.get("generation_info", {})
-                    
-                    print(f"✅ 成功")
-                    print(f"📋 表信息: {table_info.get('full_name')} ({table_info.get('field_count')}字段)")
-                    print(f"💡 生成信息: {generation_info}")
-                    
-                    # 检查输出内容
-                    output_type = test_case["payload"].get("type", "ddl")
-                    if output_type in ["ddl", "both"] and "ddl" in result_data:
-                        ddl_lines = result_data["ddl"].count('\n')
-                        print(f"🔧 DDL内容: {ddl_lines}行")
-                        # 显示DDL的前几行
-                        ddl_preview = '\n'.join(result_data["ddl"].split('\n')[:3])
-                        print(f"   预览: {ddl_preview}...")
-                    
-                    if output_type in ["md", "both"] and "md" in result_data:
-                        md_lines = result_data["md"].count('\n')
-                        print(f"📄 MD内容: {md_lines}行")
-                        # 显示MD的标题行
-                        md_lines_list = result_data["md"].split('\n')
-                        if md_lines_list:
-                            print(f"   标题: {md_lines_list[0]}")
-                    
-                    if "fields" in result_data:
-                        print(f"🗂️  字段数量: {len(result_data['fields'])}")
-                        
-                else:
-                    print(f"❌ API返回失败: {data.get('message')}")
-            else:
-                print(f"❌ HTTP错误: {response.status_code}")
-                try:
-                    error_data = response.json()
-                    print(f"   错误信息: {error_data.get('message', 'N/A')}")
-                except:
-                    print(f"   响应内容: {response.text[:200]}")
-                    
-        except requests.exceptions.Timeout:
-            print(f"⏰ 请求超时（LLM处理可能需要较长时间）")
-        except requests.exceptions.RequestException as e:
-            print(f"❌ 请求异常: {e}")
-        except Exception as e:
-            print(f"❌ 其他错误: {e}")
-
-def test_ddl_error_cases():
-    """测试DDL API的错误情况"""
-    
-    print("\n\n🚨 测试DDL API错误情况")
-    print("=" * 50)
-    
-    endpoint = "/api/v0/database/table/ddl"
-    error_test_cases = [
-        {
-            "name": "缺少db_connection参数",
-            "payload": {
-                "table": "public.test"
-            },
-            "expected_status": 400
-        },
-        {
-            "name": "缺少table参数",
-            "payload": {
-                "db_connection": "postgresql://postgres:postgres@192.168.67.1:5432/highway_db"
-            },
-            "expected_status": 400
-        },
-        {
-            "name": "无效的type参数",
-            "payload": {
-                "db_connection": "postgresql://postgres:postgres@192.168.67.1:5432/highway_db",
-                "table": "public.test",
-                "type": "invalid"
-            },
-            "expected_status": 400
-        },
-        {
-            "name": "不存在的表",
-            "payload": {
-                "db_connection": "postgresql://postgres:postgres@192.168.67.1:5432/highway_db",
-                "table": "public.non_existent_table_12345"
-            },
-            "expected_status": 500
-        }
-    ]
-    
-    for i, test_case in enumerate(error_test_cases, 1):
-        print(f"\n{i}. {test_case['name']}")
-        print("-" * 30)
-        
-        try:
-            response = requests.post(
-                f"{API_BASE_URL}{endpoint}",
-                json=test_case["payload"],
-                headers={"Content-Type": "application/json"},
-                timeout=10
-            )
-            
-            print(f"📤 请求: {json.dumps(test_case['payload'], ensure_ascii=False)}")
-            print(f"📊 状态码: {response.status_code}")
-            
-            if response.status_code == test_case["expected_status"]:
-                print(f"✅ 错误处理正确")
-            else:
-                print(f"❌ 期望状态码{test_case['expected_status']}, 实际{response.status_code}")
-                
-            # 显示错误信息
-            try:
-                error_data = response.json()
-                print(f"📄 错误信息: {error_data.get('message', 'N/A')}")
-            except:
-                print(f"📄 响应内容: {response.text[:200]}")
-                
-        except requests.exceptions.Timeout:
-            print(f"⏰ 请求超时（这可能是预期的）")
-        except Exception as e:
-            print(f"❌ 异常: {e}")
-
-if __name__ == "__main__":
-    print("🚀 表检查API测试开始")
-    print(f"🌐 API地址: {API_BASE_URL}")
-    
-    # 首先测试表列表API
-    test_get_tables()
-    
-    # 然后测试表列表API的错误情况
-    test_error_cases()
-    
-    # 测试DDL生成API
-    test_get_table_ddl()
-    
-    # 测试DDL API的错误情况
-    test_ddl_error_cases()
-    
-    print("\n" + "=" * 50)
-    print("🏁 所有测试完成")
-    print("\n💡 使用说明:")
-    print("   - 表列表API: POST /api/v0/database/tables")
-    print("   - 表DDL API: POST /api/v0/database/table/ddl")
-    print("   - 如果看到连接错误，请确保数据库服务器可访问")
-    print("   - DDL生成包含LLM调用，可能需要较长时间")
-    print("   - 支持三种输出格式：ddl、md、both") 

test_timestamp.py

@@ -0,0 +1,109 @@
+#!/usr/bin/env python3
+"""
+检查conversation_state中的时间戳信息
+"""
+import asyncio
+import sys
+from pathlib import Path
+from datetime import datetime
+
+# 添加项目路径
+project_root = Path(__file__).parent
+sys.path.insert(0, str(project_root))
+
+from react_agent.agent import CustomReactAgent
+
+async def test_timestamp_info():
+    """检查时间戳相关信息"""
+    print("=" * 60)
+    print("检查时间戳信息")
+    print("=" * 60)
+    
+    try:
+        # 初始化Agent
+        print("🚀 初始化Agent...")
+        agent = await CustomReactAgent.create()
+        
+        # 获取对话历史
+        thread_id = "wang10:20250717211620915"
+        print(f"📖 获取对话历史: {thread_id}")
+        
+        # 直接从checkpointer获取原始数据
+        thread_config = {"configurable": {"thread_id": thread_id}}
+        conversation_state = await agent.checkpointer.aget(thread_config)
+        
+        if not conversation_state:
+            print("❌ 未找到对话数据")
+            return
+        
+        # 检查conversation_state的时间戳信息
+        print(f"\n🔍 conversation_state详细信息:")
+        for key, value in conversation_state.items():
+            print(f"  {key}: {value} (类型: {type(value).__name__})")
+        
+        # 特别关注ts字段
+        if 'ts' in conversation_state:
+            ts_value = conversation_state['ts']
+            print(f"\n⏰ 时间戳分析:")
+            print(f"  原始ts值: {ts_value}")
+            print(f"  ts类型: {type(ts_value).__name__}")
+            
+            # 尝试解析时间戳
+            if isinstance(ts_value, (int, float)):
+                # 可能是Unix时间戳
+                try:
+                    if ts_value > 1000000000000:  # 毫秒时间戳
+                        dt = datetime.fromtimestamp(ts_value / 1000)
+                        print(f"  解析为毫秒时间戳: {dt}")
+                    else:  # 秒时间戳
+                        dt = datetime.fromtimestamp(ts_value)
+                        print(f"  解析为秒时间戳: {dt}")
+                except:
+                    print(f"  时间戳解析失败")
+            elif isinstance(ts_value, str):
+                # 可能是ISO格式字符串
+                try:
+                    dt = datetime.fromisoformat(ts_value.replace('Z', '+00:00'))
+                    print(f"  解析为ISO时间: {dt}")
+                except:
+                    print(f"  字符串时间戳解析失败")
+        
+        # 检查thread_id中的时间信息
+        print(f"\n🔍 Thread ID时间分析:")
+        print(f"  Thread ID: {thread_id}")
+        if ':' in thread_id:
+            parts = thread_id.split(':')
+            if len(parts) >= 2:
+                timestamp_part = parts[1]  # wang10:20250717211620915
+                print(f"  时间戳部分: {timestamp_part}")
+                
+                # 尝试解析thread_id中的时间戳
+                if len(timestamp_part) >= 14:
+                    try:
+                        year = timestamp_part[:4]
+                        month = timestamp_part[4:6] 
+                        day = timestamp_part[6:8]
+                        hour = timestamp_part[8:10]
+                        minute = timestamp_part[10:12]
+                        second = timestamp_part[12:14]
+                        ms = timestamp_part[14:] if len(timestamp_part) > 14 else "000"
+                        
+                        dt_str = f"{year}-{month}-{day} {hour}:{minute}:{second}.{ms}"
+                        print(f"  解析为: {dt_str}")
+                        
+                        # 创建datetime对象
+                        dt = datetime.strptime(f"{year}-{month}-{day} {hour}:{minute}:{second}", "%Y-%m-%d %H:%M:%S")
+                        print(f"  DateTime对象: {dt}")
+                        
+                    except Exception as e:
+                        print(f"  Thread ID时间解析失败: {e}")
+        
+        await agent.close()
+        
+    except Exception as e:
+        print(f"❌ 测试失败: {e}")
+        import traceback
+        traceback.print_exc()
+
+if __name__ == "__main__":
+    asyncio.run(test_timestamp_info()) 

test_ts_meaning.py

@@ -0,0 +1,166 @@
+#!/usr/bin/env python3
+"""
+测试conversation_state['ts']的确切含义
+"""
+import asyncio
+import sys
+from pathlib import Path
+from datetime import datetime
+
+# 添加项目路径
+project_root = Path(__file__).parent
+sys.path.insert(0, str(project_root))
+
+from react_agent.agent import CustomReactAgent
+
+async def test_ts_meaning():
+    """测试ts字段的含义"""
+    print("=" * 60)
+    print("测试conversation_state['ts']的含义")
+    print("=" * 60)
+    
+    try:
+        # 初始化Agent
+        print("🚀 初始化Agent...")
+        agent = await CustomReactAgent.create()
+        
+        # 测试多个不同的thread_id
+        thread_ids = [
+            "wang10:20250717211620915",  # 原始的长对话
+            # 如果有其他thread_id可以添加
+        ]
+        
+        for thread_id in thread_ids:
+            print(f"\n📖 分析Thread: {thread_id}")
+            
+            # 从checkpointer获取原始数据
+            thread_config = {"configurable": {"thread_id": thread_id}}
+            conversation_state = await agent.checkpointer.aget(thread_config)
+            
+            if not conversation_state:
+                print(f"  ❌ 未找到对话数据")
+                continue
+            
+            # 分析时间戳
+            ts_value = conversation_state.get('ts')
+            messages = conversation_state.get('channel_values', {}).get('messages', [])
+            
+            print(f"  📊 消息总数: {len(messages)}")
+            print(f"  ⏰ conversation_state['ts']: {ts_value}")
+            
+            # 解析时间戳
+            if ts_value:
+                try:
+                    dt = datetime.fromisoformat(ts_value.replace('Z', '+00:00'))
+                    print(f"  ⏰ 解析后的时间: {dt}")
+                except:
+                    print(f"  ❌ 时间戳解析失败")
+            
+            # 分析Thread ID中的时间
+            if ':' in thread_id:
+                parts = thread_id.split(':')
+                if len(parts) >= 2:
+                    timestamp_part = parts[1]
+                    if len(timestamp_part) >= 14:
+                        try:
+                            year = timestamp_part[:4]
+                            month = timestamp_part[4:6] 
+                            day = timestamp_part[6:8]
+                            hour = timestamp_part[8:10]
+                            minute = timestamp_part[10:12]
+                            second = timestamp_part[12:14]
+                            ms = timestamp_part[14:] if len(timestamp_part) > 14 else "000"
+                            
+                            thread_dt = datetime.strptime(f"{year}-{month}-{day} {hour}:{minute}:{second}", "%Y-%m-%d %H:%M:%S")
+                            print(f"  🆔 Thread ID时间: {thread_dt}")
+                            
+                            # 比较两个时间
+                            if ts_value:
+                                ts_dt = datetime.fromisoformat(ts_value.replace('Z', '+00:00')).replace(tzinfo=None)
+                                time_diff = (ts_dt - thread_dt).total_seconds()
+                                print(f"  🔄 时间差: {time_diff:.2f} 秒 (ts - thread_time)")
+                                
+                                if abs(time_diff) < 60:
+                                    print(f"    💡 时间差很小，ts可能是对话开始时间")
+                                else:
+                                    print(f"    💡 时间差较大，ts可能是最后更新时间")
+                        except Exception as e:
+                            print(f"  ❌ Thread ID时间解析失败: {e}")
+            
+            # 检查其他可能的时间字段
+            print(f"  🔍 conversation_state所有字段:")
+            for key, value in conversation_state.items():
+                if 'time' in key.lower() or 'date' in key.lower() or 'created' in key.lower() or 'updated' in key.lower():
+                    print(f"    {key}: {value}")
+        
+        await agent.close()
+        
+    except Exception as e:
+        print(f"❌ 测试失败: {e}")
+        import traceback
+        traceback.print_exc()
+
+async def create_test_conversation():
+    """创建一个测试对话来观察ts的变化"""
+    print(f"\n" + "=" * 60)
+    print("创建测试对话观察ts变化")
+    print("=" * 60)
+    
+    try:
+        # 初始化Agent
+        agent = await CustomReactAgent.create()
+        
+        # 创建新的测试对话
+        test_user = "test_user"
+        test_message = "你好，这是一个测试消息"
+        
+        print(f"🚀 发送测试消息...")
+        result = await agent.chat(test_message, test_user)
+        
+        if result.get('success'):
+            thread_id = result.get('thread_id')
+            print(f"✅ 对话创建成功，Thread ID: {thread_id}")
+            
+            # 立即检查ts
+            thread_config = {"configurable": {"thread_id": thread_id}}
+            conversation_state = await agent.checkpointer.aget(thread_config)
+            
+            if conversation_state:
+                ts_value = conversation_state.get('ts')
+                messages = conversation_state.get('channel_values', {}).get('messages', [])
+                
+                print(f"📊 首次对话后:")
+                print(f"  消息数量: {len(messages)}")
+                print(f"  ts值: {ts_value}")
+                
+                # 发送第二条消息
+                print(f"\n🚀 发送第二条消息...")
+                result2 = await agent.chat("这是第二条消息", test_user, thread_id)
+                
+                if result2.get('success'):
+                    # 再次检查ts
+                    conversation_state2 = await agent.checkpointer.aget(thread_config)
+                    
+                    if conversation_state2:
+                        ts_value2 = conversation_state2.get('ts')
+                        messages2 = conversation_state2.get('channel_values', {}).get('messages', [])
+                        
+                        print(f"📊 第二次对话后:")
+                        print(f"  消息数量: {len(messages2)}")
+                        print(f"  ts值: {ts_value2}")
+                        
+                        # 比较两次的ts
+                        if ts_value != ts_value2:
+                            print(f"  💡 ts值发生了变化！这说明ts是最后更新时间")
+                        else:
+                            print(f"  💡 ts值没有变化，可能是创建时间")
+        
+        await agent.close()
+        
+    except Exception as e:
+        print(f"❌ 测试对话创建失败: {e}")
+
+if __name__ == "__main__":
+    asyncio.run(test_ts_meaning())
+    # 注释掉测试对话创建，避免产生过多测试数据
+    # asyncio.run(create_test_conversation()) 

unified_api.py

@@ -10,7 +10,8 @@ import logging
 import atexit
 import os
 import sys
-from datetime import datetime, timedelta
+from datetime import datetime, timedelta, timezone
+import pytz
 from typing import Optional, Dict, Any, TYPE_CHECKING, Union
 import signal
 from threading import Thread
@@ -83,6 +84,22 @@ redis_conversation_manager = RedisConversationManager()
 _react_agent_instance: Optional[Any] = None
 _redis_client: Optional[redis.Redis] = None
 
+def _format_timestamp_to_china_time(timestamp_str):
+    """将ISO时间戳转换为中国时区的指定格式"""
+    if not timestamp_str:
+        return None
+    try:
+        # 解析ISO时间戳
+        dt = datetime.fromisoformat(timestamp_str.replace('Z', '+00:00'))
+        # 转换为中国时区
+        china_tz = pytz.timezone('Asia/Shanghai')
+        china_dt = dt.astimezone(china_tz)
+        # 格式化为指定格式
+        return china_dt.strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]  # 保留3位毫秒
+    except Exception as e:
+        logger.warning(f"⚠️ 时间格式化失败: {e}")
+        return timestamp_str
+
 def validate_request_data(data: Dict[str, Any]) -> Dict[str, Any]:
     """验证请求数据，并支持从thread_id中推断user_id"""
     errors = []
@@ -2144,33 +2161,28 @@ async def get_user_conversations_react(user_id: str):
         
         # 确保Agent可用
         if not await ensure_agent_ready():
-            return jsonify({
-                "success": False,
-                "error": "Agent 未就绪",
-                "timestamp": datetime.now().isoformat()
-            }), 503
+            return jsonify(service_unavailable_response(
+                response_text="Agent 未就绪"
+            )), 503
         
         # 直接调用异步方法
         conversations = await _react_agent_instance.get_user_recent_conversations(user_id, limit)
         
-        return jsonify({
-            "success": True,
-            "data": {
+        return jsonify(success_response(
+            response_text="获取用户对话列表成功",
+            data={
                 "user_id": user_id,
                 "conversations": conversations,
                 "total_count": len(conversations),
                 "limit": limit
-            },
-            "timestamp": datetime.now().isoformat()
-        }), 200
+            }
+        )), 200
         
     except Exception as e:
         logger.error(f"❌ 异步获取用户 {user_id} 对话列表失败: {e}")
-        return jsonify({
-            "success": False,
-            "error": str(e),
-            "timestamp": datetime.now().isoformat()
-        }), 500
+        return jsonify(internal_error_response(
+            response_text=f"获取用户对话列表失败: {str(e)}"
+        )), 500
 
 @app.route('/api/v0/react/users/<user_id>/conversations/<thread_id>', methods=['GET'])
 async def get_user_conversation_detail_react(user_id: str, thread_id: str):
@@ -2180,53 +2192,63 @@ async def get_user_conversation_detail_react(user_id: str, thread_id: str):
     try:
         # 验证thread_id格式是否匹配user_id
         if not thread_id.startswith(f"{user_id}:"):
-            return jsonify({
-                "success": False,
-                "error": f"Thread ID {thread_id} 不属于用户 {user_id}",
-                "timestamp": datetime.now().isoformat()
-            }), 400
+            return jsonify(bad_request_response(
+                response_text=f"Thread ID {thread_id} 不属于用户 {user_id}"
+            )), 400
         
         logger.info(f"📖 异步获取用户 {user_id} 的对话 {thread_id} 详情")
         
         # 确保Agent可用
         if not await ensure_agent_ready():
-            return jsonify({
-                "success": False,
-                "error": "Agent 未就绪",
-                "timestamp": datetime.now().isoformat()
-            }), 503
+            return jsonify(service_unavailable_response(
+                response_text="Agent 未就绪"
+            )), 503
+        
+        # 获取查询参数
+        include_tools = request.args.get('include_tools', 'false').lower() == 'true'
         
         # 直接调用异步方法
-        history = await _react_agent_instance.get_conversation_history(thread_id)
-        logger.info(f"✅ 异步成功获取对话历史，消息数量: {len(history)}")
+        conversation_data = await _react_agent_instance.get_conversation_history(thread_id, include_tools=include_tools)
+        messages = conversation_data.get("messages", [])
         
-        if not history:
-            return jsonify({
-                "success": False,
-                "error": f"未找到对话 {thread_id}",
-                "timestamp": datetime.now().isoformat()
-            }), 404
+        logger.info(f"✅ 异步成功获取对话历史，消息数量: {len(messages)}")
         
-        return jsonify({
-            "success": True,
-            "data": {
+        if not messages:
+            return jsonify(not_found_response(
+                response_text=f"未找到对话 {thread_id}"
+            )), 404
+        
+        # 格式化消息
+        formatted_messages = []
+        for msg in messages:
+            formatted_msg = {
+                "message_id": msg["id"],  # id -> message_id
+                "role": msg["type"],      # type -> role
+                "content": msg["content"],
+                "timestamp": _format_timestamp_to_china_time(msg["timestamp"])  # 转换为中国时区
+            }
+            formatted_messages.append(formatted_msg)
+        
+        return jsonify(success_response(
+            response_text="获取对话详情成功",
+            data={
                 "user_id": user_id,
                 "thread_id": thread_id,
-                "message_count": len(history),
-                "messages": history
-            },
-            "timestamp": datetime.now().isoformat()
-        }), 200
+                "conversation_id": thread_id,  # 新增conversation_id字段
+                "message_count": len(formatted_messages),
+                "messages": formatted_messages,
+                "created_at": conversation_data.get("thread_created_at"),  # 已经包含毫秒
+                "total_checkpoints": conversation_data.get("total_checkpoints", 0)
+            }
+        )), 200
         
     except Exception as e:
         import traceback
         logger.error(f"❌ 异步获取对话 {thread_id} 详情失败: {e}")
         logger.error(f"❌ 详细错误信息: {traceback.format_exc()}")
-        return jsonify({
-            "success": False,
-            "error": str(e),
-            "timestamp": datetime.now().isoformat()
-        }), 500
+        return jsonify(internal_error_response(
+            response_text=f"获取对话详情失败: {str(e)}"
+        )), 500
 
 @app.route('/api/test/redis', methods=['GET'])
 def test_redis_connection():