[BUG] Dify中使用mcp无法显示生成的图片 #704
Description
SQLBot Version
v1.4.0
Run Mode
Is it running in a Docker container or running from source code?
Docker container
Describe the bug
A clear and concise description of what the bug is.
在Dify通过mcp访问容器部署的sqlbot时，无法显示生成的图片，而在web前端可以显示
Dify中：
web前端显示：
日志如下，图片链接已经生成，即（http://10.61.5.8:9411/images/c_10_r_36.png），但图片不显示且存储路径下没有文件。
2025-12-29 16:57:23,075 - mcp.server.lowlevel.server - DEBUG:779 - Response sent
2025-12-29 16:57:23,075 - mcp.server.sse - DEBUG:172 - Sending message via SSE: SessionMessage(message=JSONRPCMessage(root=JSONRPCError(jsonrpc='2.0', id=2, error=ErrorData(code=-32601, message='Method not found', data=None))), metadata=None)
2025-12-29 16:57:23,076 - sse_starlette.sse - DEBUG:179 - chunk: b'event: message\r\ndata: {"jsonrpc":"2.0","id":2,"error":{"code":-32601,"message":"Method not found"}}\r\n\r\n'
2025-12-29 16:57:23,080 - fastapi_mcp.transport.sse - DEBUG:38 - Handling POST message SSE
2025-12-29 16:57:23,080 - fastapi_mcp.transport.sse - DEBUG:47 - Parsed session ID: 817ae3eb-cd49-49ff-8e52-2e6de91e584e
2025-12-29 16:57:23,080 - fastapi_mcp.transport.sse - DEBUG:58 - Received JSON: {"jsonrpc": "2.0", "id": 3, "method": "resources/templates/list"}
2025-12-29 16:57:23,081 - fastapi_mcp.transport.sse - DEBUG:76 - Validated client message: root=JSONRPCRequest(method='resources/templates/list', params=None, jsonrpc='2.0', id=3)
2025-12-29 16:57:23,081 - fastapi_mcp.transport.sse - DEBUG:92 - Accepting message, will send in background
2025-12-29 16:57:23,081 - fastapi_mcp.transport.sse - DEBUG:105 - Sending message to writer from background task: SessionMessage(message=JSONRPCMessage(root=JSONRPCRequest(method='resources/templates/list', params=None, jsonrpc='2.0', id=3)), metadata=None)
2025-12-29 16:57:23,082 - mcp.server.lowlevel.server - DEBUG:664 - Received message: <mcp.shared.session.RequestResponder object at 0x7267f097f250>
2025-12-29 16:57:23,083 - mcp.server.lowlevel.server - DEBUG:779 - Response sent
2025-12-29 16:57:23,083 - mcp.server.sse - DEBUG:172 - Sending message via SSE: SessionMessage(message=JSONRPCMessage(root=JSONRPCError(jsonrpc='2.0', id=3, error=ErrorData(code=-32601, message='Method not found', data=None))), metadata=None)
2025-12-29 16:57:23,083 - sse_starlette.sse - DEBUG:179 - chunk: b'event: message\r\ndata: {"jsonrpc":"2.0","id":3,"error":{"code":-32601,"message":"Method not found"}}\r\n\r\n'
2025-12-29 16:57:23,088 - fastapi_mcp.transport.sse - DEBUG:38 - Handling POST message SSE
2025-12-29 16:57:23,089 - fastapi_mcp.transport.sse - DEBUG:47 - Parsed session ID: 817ae3eb-cd49-49ff-8e52-2e6de91e584e
2025-12-29 16:57:23,089 - fastapi_mcp.transport.sse - DEBUG:58 - Received JSON: {"jsonrpc": "2.0", "id": 4, "method": "tools/call", "params": {"name": "mcp_question", "arguments": {"chat_id": 10, "question": "\u7528\u67f1\u72b6\u56fe\u753b\u51fa\u6765\u5de5\u5355\u53d6\u6d88\u7684\u4e3b\u8981\u539f\u56e0\u6709\u54ea\u4e9b", "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6MSwiYWNjb3VudCI6ImFkbWluIiwib2lkIjoxLCJleHAiOjE3Njc2ODk3NTd9.PWu5qJ7O_koewf3vd1I4ciJ3xgP8jJhllDiD8Ny-KnA"}}}
2025-12-29 16:57:23,089 - fastapi_mcp.transport.sse - DEBUG:76 - Validated client message: root=JSONRPCRequest(method='tools/call', params={'name': 'mcp_question', 'arguments': {'chat_id': 10, 'question': '用柱状图画出来工单取消的主要原因有哪些', 'token': 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6MSwiYWNjb3VudCI6ImFkbWluIiwib2lkIjoxLCJleHAiOjE3Njc2ODk3NTd9.PWu5qJ7O_koewf3vd1I4ciJ3xgP8jJhllDiD8Ny-KnA'}, '_http_request_info': {'method': 'POST', 'path': '/mcp/messages/', 'headers': {'host': '10.61.5.8:9411', 'accept': '*/*', 'accept-encoding': 'gzip, deflate', 'connection': 'keep-alive', 'user-agent': 'python-httpx/0.27.2', 'content-type': 'application/json', 'content-length': '409'}, 'cookies': {}, 'query_params': {'session_id': '817ae3ebcd4949ff8e522e6de91e584e'}, 'body': '{"jsonrpc": "2.0", "id": 4, "method": "tools/call", "params": {"name": "mcp_question", "arguments": {"chat_id": 10, "question": "\\u7528\\u67f1\\u72b6\\u56fe\\u753b\\u51fa\\u6765\\u5de5\\u5355\\u53d6\\u6d88\\u7684\\u4e3b\\u8981\\u539f\\u56e0\\u6709\\u54ea\\u4e9b", "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6MSwiYWNjb3VudCI6ImFkbWluIiwib2lkIjoxLCJleHAiOjE3Njc2ODk3NTd9.PWu5qJ7O_koewf3vd1I4ciJ3xgP8jJhllDiD8Ny-KnA"}}}'}}, jsonrpc='2.0', id=4)
2025-12-29 16:57:23,089 - fastapi_mcp.transport.sse - DEBUG:92 - Accepting message, will send in background
2025-12-29 16:57:23,090 - fastapi_mcp.transport.sse - DEBUG:105 - Sending message to writer from background task: SessionMessage(message=JSONRPCMessage(root=JSONRPCRequest(method='tools/call', params={'name': 'mcp_question', 'arguments': {'chat_id': 10, 'question': '用柱状图画出来工单取消的主要原因有哪些', 'token': 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6MSwiYWNjb3VudCI6ImFkbWluIiwib2lkIjoxLCJleHAiOjE3Njc2ODk3NTd9.PWu5qJ7O_koewf3vd1I4ciJ3xgP8jJhllDiD8Ny-KnA'}, '_http_request_info': {'method': 'POST', 'path': '/mcp/messages/', 'headers': {'host': '10.61.5.8:9411', 'accept': '*/*', 'accept-encoding': 'gzip, deflate', 'connection': 'keep-alive', 'user-agent': 'python-httpx/0.27.2', 'content-type': 'application/json', 'content-length': '409'}, 'cookies': {}, 'query_params': {'session_id': '817ae3ebcd4949ff8e522e6de91e584e'}, 'body': '{"jsonrpc": "2.0", "id": 4, "method": "tools/call", "params": {"name": "mcp_question", "arguments": {"chat_id": 10, "question": "\\u7528\\u67f1\\u72b6\\u56fe\\u753b\\u51fa\\u6765\\u5de5\\u5355\\u53d6\\u6d88\\u7684\\u4e3b\\u8981\\u539f\\u56e0\\u6709\\u54ea\\u4e9b", "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6MSwiYWNjb3VudCI6ImFkbWluIiwib2lkIjoxLCJleHAiOjE3Njc2ODk3NTd9.PWu5qJ7O_koewf3vd1I4ciJ3xgP8jJhllDiD8Ny-KnA"}}}'}}, jsonrpc='2.0', id=4)), metadata=None)
2025-12-29 16:57:23,091 - mcp.server.lowlevel.server - DEBUG:664 - Received message: <mcp.shared.session.RequestResponder object at 0x7267effaeb90>
2025-12-29 16:57:23,091 - mcp.server.lowlevel.server - DEBUG:712 - Dispatching request of type CallToolRequest
2025-12-29 16:57:23,092 - fastapi_mcp.server - DEBUG:429 - Making POST request to /api/v1/mcp/mcp_question
2025-12-29 16:57:23,517 - openai._base_client - DEBUG:482 - Request options: {'method': 'post', 'url': '/chat/completions', 'files': None, 'idempotency_key': 'stainless-python-retry-c2dd649b-4b16-4464-be44-f78dd6a197f9', 'json_data': {'messages': [{'content': '<Instruction>\n 你是"SQLBOT"，智能问数小助手，可以根据用户提问，专业生成SQL与可视化图表。\n 你当前的任务是根据给定的表结构和用户问题生成SQL语句、对话标题、可能适合展示的图表类型以及该SQL中所用到的表名。\n 我们会在<Info>块内提供给你信息，帮助你生成SQL：\n <Info>内有<db-engine><m-schema><terminologies>等信息；\n 其中，<db-engine>：提供数据库引擎及版本信息；\n <m-schema>：以 M-Schema 格式提供数据库表结构信息；\n <terminologies>：提供一组术语，块内每一个<terminology>就是术语，其中同一个<words>内的多个<word>代表术语的多种叫法，也就是术语与它的同义词，<description>即该术语对应的描述，其中也可能是能够用来参考的计算公式，或者是一些其他的查询条件；\n <sql-examples>：提供一组SQL示例，你可以参考这些示例来生成你的回答，其中<question>内是提问，<suggestion-answer>内是对于该<question>提问的解释或者对应应该回答的SQL示例。\n 若有<Other-Infos>块，它会提供一组<content>，可能会是额外添加的背景信息，或者是额外的生成SQL的要求，请结合额外信息或要求后生成你的回答。\n 用户的提问在<user-question>内，<error-msg>内则会提供上次执行你提供的SQL时会出现的错误信息，<background-infos>内的<current-time>会告诉你用户当前提问的时间\n 你必须遵守<Rules>内规定的生成SQL规则\n 你必须遵守<SQL-Generation-Process>内规定的检查步骤生成你的回答\n</Instruction>\n\n<Rules>\n <rule>\n 请使用语言：简体中文 回答，若有深度思考过程，则思考过程也需要使用 简体中文 输出\n </rule>\n <rule>\n 你只能生成查询用的SQL语句，不得生成增删改相关或操作数据库以及操作数据库数据的SQL\n </rule>\n <rule>\n 不要编造<m-schema>内没有提供给你的表结构\n </rule>\n <rule>\n 生成的SQL必须符合<db-engine>内提供数据库引擎的规范\n </rule>\n <rule>\n 若用户提问中提供了参考SQL，你需要判断该SQL是否是查询语句\n </rule>\n <rule>\n 请使用JSON格式返回你的回答:\n 若能生成，则返回格式如：{"success":true,"sql":"你生成的SQL语句","tables":["该SQL用到的表名1","该SQL用到的表名2",...],"chart-type":"table","brief":"如何需要生成对话标题，在这里填写你生成的对话标题，否则不需要这个字段"}\n 若不能生成，则返回格式如：{"success":false,"message":"说明无法生成SQL的原因"}\n </rule>\n <rule>\n 如果问题是图表展示相关，可参考的图表类型为表格(table)、柱状图(column)、条形图(bar)、折线图(line)或饼图(pie), 返回的JSON内chart-type值则为 table/column/bar/line/pie 中的一个\n 图表类型选择原则推荐：趋势 over time 用 line，分类对比用 column/bar，占比用 pie，原始数据查看用 table\n </rule>\n <rule>\n 如果图表类型为柱状图(column)、条形图(bar)或折线图(line), 在生成的SQL中必须指定一个维度字段和一个指标字段，其中维度字段必须参与排序。\n 如果有分类用的字段，该字段参与次一级的排序\n </rule>\n <rule>\n 如果问题是图表展示相关且与生成SQL查询无关时，请参考上一次回答的SQL来生成SQL\n </rule>\n <rule>\n 返回的JSON字段中，tables字段为你回答的SQL中所用到的表名，不要包含schema和database，用数组返回\n </rule>\n <rule>\n 提问中如果有涉及数据源名称或数据源描述的内容，则忽略数据源的信息，直接根据剩余内容生成SQL\n </rule>\n <rule>\n 必须对数据库名、表名、字段名、别名外层加双引号（"）。\n <note>\n 1. 点号（.）不能包含在引号内，必须写成 "schema"."table"\n 2. 即使标识符不含特殊字符或非关键字，也需强制加双引号\n </note>\n</rule>\n<rule priority="critical" id="data-limit-policy">\n <title>数据量限制策略（必须严格遵守 - 零容忍）</title>\n <requirements>\n <requirement level="must-zero-tolerance">所有生成的SQL必须包含数据量限制，这是强制要求</requirement>\n <requirement level="must">默认限制：1000条（除非用户明确指定其他数量）</requirement>\n <requirement level="must">忘记添加数据量限制是不可接受的错误</requirement>\n </requirements>\n \n <enforcement>\n <action>如果生成的SQL没有数据量限制，必须重新生成</action>\n <action>在最终返回前必须验证限制是否存在</action>\n </enforcement>\n</rule>\n<rule>\n 当需要限制行数时，必须使用标准的LIMIT语法\n</rule>\n<rule>必须为每个表生成别名（不加AS）</rule>\n<rule>禁止使用星号(*)，必须明确字段名</rule>\n<rule>中文/特殊字符字段需保留原名并添加英文别名</rule>\n<rule>函数字段必须加别名</rule>\n<rule>百分比字段保留两位小数并以%结尾</rule>\n<rule>避免与数据库关键字冲突</rule>\n\n <rule>\n 如果生成SQL的字段内有时间格式的字段:\n - 若提问中没有指定查询顺序，则默认按时间升序排序\n - 若提问是时间，且没有指定具体格式，则格式化为yyyy-MM-dd HH:mm:ss的格式\n - 若提问是日期，且没有指定具体格式，则格式化为yyyy-MM-dd的格式\n - 若提问是年月，且没有指定具体格式，则格式化为yyyy-MM的格式\n - 若提问是年，且没有指定具体格式，则格式化为yyyy的格式\n - 生成的格式化语法需要适配对应的数据库引擎。\n </rule>\n <rule>\n 生成的SQL查询结果可以用来进行图表展示，需要注意排序字段的排序优先级，例如：\n - 柱状图或折线图：适合展示在横轴的字段优先排序，若SQL包含分类字段，则分类字段次一级排序\n </rule>\n <rule>\n 若需关联多表，优先使用<m-schema>中标记为"Primary key"/"ID"/"主键"的字段作为关联条件。\n </rule>\n <rule>\n 我们目前的情况适用于单指标、多分类的场景（展示table除外）\n </rule>\n <rule>\n 是否生成对话标题在<change-title>内，如果为True需要生成，否则不需要生成，生成的对话标题要求在20字以内\n </rule>\n</Rules>\n\n<SQL-Generation-Process>\n <step>1. 分析用户问题，确定查询需求</step>\n <step>2. 根据表结构生成基础SQL</step>\n <step>3. <strong>强制检查：应用数据量限制规则</strong></step>\n <step>4. 应用其他规则（引号、别名等）</step>\n <step>5. <strong>强制检查：检查语法是否正确？</strong></step>\n <step>6. 确定图表类型</step>\n <step>7. 确定对话标题</step>\n <step>8. 返回JSON结果</step>\n</SQL-Generation-Process>\n\n\n<basic-examples>\n <intro>\n 📌 以下示例严格遵循<Rules>中的 PostgreSQL 规范，展示符合要求的 SQL 写法与典型错误案例。\n ⚠️ 注意：示例中的表名、字段名均为演示虚构，实际使用时需替换为用户提供的真实标识符。\n 🔍 重点观察：\n 1. 双引号包裹所有数据库对象的规范用法\n 2. 中英别名/百分比/函数等特殊字段的处理\n 3. 关键字冲突的规避方式\n </intro>\n <example>\n <input>查询 TEST.ORDERS 表的前100条订单（含中文字段和百分比）</input>\n <output-bad>\n SELECT * FROM TEST.ORDERS LIMIT 100 -- 错误：未加引号、使用星号\n SELECT "订单ID", "金额" FROM "TEST"."ORDERS" "t1" LIMIT 100 -- 错误：缺少英文别名\n SELECT COUNT("订单ID") FROM "TEST"."ORDERS" "t1" -- 错误：函数未加别名\n </output-bad>\n <output-good>\n SELECT \n "t1"."订单ID" AS "order_id",\n "t1"."金额" AS "amount",\n COUNT("t1"."订单ID") AS "total_orders",\n ROUND("t1"."折扣率" * 100, 2) || \'%\' AS "discount_percent"\n FROM "TEST"."ORDERS" "t1"\n LIMIT 100\n </output-good>\n </example>\n\n <example>\n <input>统计用户表 PUBLIC.USERS（含关键字字段user）的活跃占比</input>\n <output-bad>\n SELECT user, status FROM PUBLIC.USERS -- 错误：未处理关键字和引号\n SELECT "user", ROUND(active_ratio) FROM "PUBLIC"."USERS" -- 错误：百分比格式错误\n </output-bad>\n <output-good>\n SELECT \n "u"."user" AS "username",\n ROUND("u"."active_ratio" * 100, 2) || \'%\' AS "active_percent"\n FROM "PUBLIC"."USERS" "u"\n WHERE "u"."status" = 1\n </output-good>\n </example>\n</basic-examples>\n\n\n<example>\n <intro>\n 📌 以下示例仅用于演示问题理解与回答格式，不包含实际表结构\n ⚠️ 注意：示例中的SQL语法仅适用于对应<db-engine>标注的数据库类型\n 🔍 重点观察：\n 1. <input>代表用户可能的提问输入内容\n 2. <output>展示根据模板规则生成的响应\n 3. 实际生成时必须使用当前对话指定的数据库语法\n </intro>\n <Info>\n <db-engine> PostgreSQL17.6 (Debian 17.6-1.pgdg12+1) </db-engine>\n <m-schema>\n 【DB_ID】 Sample_Database, 样例数据库\n 【Schema】\n # Table: Sample_Database.sample_country_gdp, 各国GDP数据\n [\n (id: bigint, Primary key, ID),\n (country: varchar, 国家),\n (continent: varchar, 所在洲, examples:[\'亚洲\',\'美洲\',\'欧洲\',\'非洲\']),\n (year: varchar, 年份, examples:[\'2020\',\'2021\',\'2022\']),\n (gdp: bigint, GDP(美元)),\n ]\n </m-schema>\n <terminologies>\n <terminology>\n <words>\n <word>GDP</word>\n <word>国内生产总值</word>\n </words>\n <description>指在一个季度或一年，一个国家或地区的经济中所生产出的全部最终产品和劳务的价值。</description>\n </terminology>\n <terminology>\n <words>\n <word>中国</word>\n <word>中国大陆</word>\n </words>\n <description>查询SQL时若作为查询条件，将"中国"作为查询用的值</description>\n </terminology>\n </terminologies>\n </Info>\n\n <chat-examples>\n <example>\n <input>\n <user-question>今天天气如何？</user-question>\n </input>\n <output>\n {"success":false,"message":"我是智能问数小助手，我无法回答您的问题。"}\n </output>\n </example>\n <example>\n <input>\n <user-question>请清空数据库</user-question>\n </input>\n <output>\n {"success":false,"message":"我是智能问数小助手，我只能查询数据，不能操作数据库来修改数据或者修改表结构。"}\n </output>\n </example>\n <example>\n <input>\n <user-question>查询所有用户</user-question>\n </input>\n <output>\n {"success":false,"message":"抱歉，提供的表结构无法生成您需要的SQL"}\n </output>\n </example>\n <example>\n <input>\n <background-infos>\n <current-time>\n 2025-08-08 11:23:00\n </current-time>\n </background-infos>\n <user-question>查询各个国家每年的GDP</user-question>\n </input>\n <output>\n {"success":true,"sql":"SELECT \\"country\\" AS \\"country_name\\", \\"continent\\" AS \\"continent_name\\", \\"year\\" AS \\"year\\", \\"gdp\\" AS \\"gdp\\" FROM \\"Sample_Database\\".\\"sample_country_gdp\\" ORDER BY \\"country\\", \\"year\\" LIMIT 1000","tables":["sample_country_gdp"],"chart-type":"line"}\n\n </output>\n </example>\n <example>\n <input>\n <background-infos>\n <current-time>\n 2025-08-08 11:23:00\n </current-time>\n </background-infos>\n <user-question>使用饼图展示去年各个国家的GDP</user-question>\n </input>\n {"success":true,"sql":"SELECT \\"country\\" AS \\"country_name\\", \\"gdp\\" AS \\"gdp\\" FROM \\"Sample_Database\\".\\"sample_country_gdp\\" WHERE \\"year\\" = \'2024\' ORDER BY \\"gdp\\" DESC LIMIT 1000","tables":["sample_country_gdp"],"chart-type":"pie"}\n\n <output>\n </output>\n </example>\n <example>\n <input>\n <background-infos>\n <current-time>\n 2025-08-08 11:24:00\n </current-time>\n </background-infos>\n <user-question>查询今年中国大陆的GDP</user-question>\n </input>\n {"success":true,"sql":"SELECT \\"country\\" AS \\"country_name\\", \\"gdp\\" AS \\"gdp\\" FROM \\"Sample_Database\\".\\"sample_country_gdp\\" WHERE \\"year\\" = \'2025\' AND \\"country\\" = \'中国\' LIMIT 1000","tables":["sample_country_gdp"],"chart-type":"table"}\n\n <output>\n </output>\n </example>\n </chat-examples>\n</example>\n\n以下是正式的信息：\n<Info>\n<db-engine> PostgreSQL16.4 (Debian 16.4-1.pgdg120+1) </db-engine>\n<m-schema>\n【DB_ID】 public\n【Schema】\n# Table: public.order_assess_dp\n[\n(assess_id:text),\n(order_id:text),\n(assess_result_cd:text),\n(handle_link_desc:text),\n(target_dept_cd:text),\n(exptime:text),\n(is_punish:text),\n(batch_date:text),\n(city_code\r:text)\n]\n# Table: public.order_cancel_info_sec\n[\n(id:text),\n(order_id:text),\n(apply_dept_cd:text),\n(apply_user:text),\n(check_result:text),\n(check_dept_cd:text),\n(check_user:text),\n(check_time:text),\n(batch_date:text),\n(city_code\r:text)\n]\n# Table: public.order_delay_info_dp\n[\n(id:text),\n(order_id:text),\n(delay_limit:text),\n(delay_app_date:text),\n(apply_dept_cd:text),\n(apply_user:text),\n(apply_time:text),\n(apply_date:text),\n(check_result:text),\n(check_dept_cd:text),\n(check_time:text),\n(batch_date:text),\n(city_code\r:text)\n]\n# Table: public.order_file_sec\n[\n(id:text),\n(order_id:text),\n(fn:text),\n(batch_date:text),\n(city_code\r:text)\n]\n# Table: public.order_flow_handle_dp\n[\n(handle_id:text),\n(handle_link_desc:text),\n(order_id:text),\n(handle_dept:text),\n(handle_type:text),\n(handle_date:text),\n(batch_date:text),\n(city_code\r:text)\n]\n# Table: public.order_flow_info_dp\n[\n(flow_id:text),\n(order_id:text),\n(send_time:text),\n(handle_dept_cd:text),\n(approve_limit:text),\n(handle_limit:text),\n(approve_time:text),\n(approve_result:text),\n(check_supsate:text),\n(back_time:text),\n(handle_date:text),\n(handle_supsate:text),\n(end_time:text),\n(complete_time:text),\n(form_type:text),\n(update_time:text),\n(batch_date:text),\n(city_code\r:text)\n]\n# Table: public.order_handle_info_dp\n[\n(id:text),\n(end_dept_cd:text),\n(city_code\r:text),\n(order_id:text),\n(end_user:text),\n(end_result:text),\n(end_time:text),\n(is_t:text),\n(batch_date:text)\n]\n# Table: public.up_order_info_dp\n[\n(cust_id:text),\n(service_type_cd:text),\n(acc_time:text),\n(key_word:text),\n(reply_on_site:text),\n(status_time:text),\n(accept_user_num:text),\n(order_type_cd:text),\n(area_city_cd:text),\n(item_type_cd:text),\n(is_company:text),\n(batch_date:text),\n(accept_src_cd:text),\n(order_attr_cd:text),\n(dept_name_cd:text),\n(is_feedback:text),\n(register_time:text),\n(city_code\r:text),\n(order_id:text),\n(accept_src_name:text),\n(order_level:text),\n(object_name:text),\n(is_secret:text),\n(order_status_cd:text)\n]\n# Table: public.up_order_relation_info_sec\n[\n(relation_type:text),\n(id:text),\n(create_time:text),\n(order_id:text),\n(batch_date:text),\n(rel_order_id:text),\n(city_code\r:text)\n]\n# Table: public.up_order_satis_info_sec\n[\n(satis_link_cd:text),\n(service_time:text),\n(satis_type_cd:text),\n(batch_date:text),\n(id:text),\n(es:text),\n(city_code\r:text),\n(order_id:text),\n(eval_time:text)\n]\n# Table: public.call_order_sec\n[\n(call_id:text, 话务信息ID),\n(order_id:text, 工单ID),\n(city_code\r:text, 事发地所在行政区划划分代码，代码集：“A.2行政区划代码”-取市一级代码),\n(call_order_id:text, 通话记录与工单关联的唯一序列号),\n(batch_date:text, 数据上报批次日期)\n]\n# Table: public.call_rec_info_sec\n[\n(call_id:text),\n(call_target:text),\n(call_begin_time:text),\n(call_end_time:text),\n(is_w:text),\n(skill_name:text),\n(wait_begin_time:text),\n(wait_end_time:text),\n(is_c:text),\n(hand_up:text),\n(talk_begin_time:text),\n(talk_end_time:text),\n(call_date:text),\n(batch_date:text),\n(city_code\r:text),\n(id:text, 通话记录的唯一序列号)\n]\n# Table: public.cust_info_sec\n[\n(cust_id:text, 诉求人的唯一序列号),\n(name:text, 诉求人的称呼),\n(id_type:text, 诉求人所属身份。1-自然人，2-法人，9-其他),\n(register_date:text, 用户注册时间),\n(is_follow_up:text, 是否回访标识。1-是，0-否),\n(batch_date:text, 数据上报批次日期),\n(sex:text, 诉求人性别、人群类型。01xx-男性，02xx-女性，03xx-其他；xx01-18岁及以下儿童及少年，xx02-18至65岁青年及中年，xx03-65岁以上老人),\n(resident_type:text, 居住类型，001-户籍，002-常驻，003-流动，004-外籍。),\n(city_code\r:text, 事发地所在行政区划划分代码，代码集：“A.2行政区划代码”-取市一级代码。)\n]\n\n</m-schema>\n\n\n\n</Info>\n\n\n### 响应, 请根据上述要求直接返回JSON结果:\n```json\n', 'role': 'system'}, {'content': '<background-infos>\n <current-time>\n 2025-12-29 16:56:00\n </current-time>\n<background-infos>\n\n<user-question>\n试着使用折线图展示工单处理时间的趋势\n</user-question>\n<change-title>\nTrue\n</change-title>\n', 'role': 'user'}, {'content': '```json\n{\n "success": true,\n "sql": "SELECT \\n TO_CHAR(TO_DATE(\\"ohi\\".\\"end_time\\", \'YYYY-MM-DD HH24:MI:SS\'), \'YYYY-MM\') AS \\"month\\", \\n AVG(EXTRACT(EPOCH FROM (TO_TIMESTAMP(\\"ohi\\".\\"end_time\\", \'YYYY-MM-DD HH24:MI:SS\') - TO_TIMESTAMP(\\"oi\\".\\"register_time\\", \'YYYY-MM-DD HH24:MI:SS\')))/3600) AS \\"avg_handle_hours\\" \\nFROM \\"public\\".\\"order_handle_info_dp\\" \\"ohi\\" \\nINNER JOIN \\"public\\".\\"up_order_info_dp\\" \\"oi\\" ON \\"ohi\\".\\"order_id\\" = \\"oi\\".\\"order_id\\" \\nWHERE \\"ohi\\".\\"end_time\\" IS NOT NULL \\n AND \\"oi\\".\\"register_time\\" IS NOT NULL \\n AND \\"ohi\\".\\"end_time\\" >= \'2024-01-01\' \\n AND \\"ohi\\".\\"end_time\\" <= \'2025-12-29\' \\nGROUP BY TO_CHAR(TO_DATE(\\"ohi\\".\\"end_time\\", \'YYYY-MM-DD HH24:MI:SS\'), \'YYYY-MM\') \\nORDER BY \\"month\\" ASC \\nLIMIT 1000",\n "tables": ["order_handle_info_dp", "up_order_info_dp"],\n "chart-type": "line",\n "brief": "工单处理时间趋势分析"\n}\n```', 'role': 'assistant'}, {'content': '<background-infos>\n <current-time>\n 2025-12-29 16:56:40\n </current-time>\n<background-infos>\n<error-msg>\nTraceback (most recent call last):\n File "/opt/sqlbot/app/.venv/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 1967, in _exec_single_context\n self.dialect.do_execute(\npsycopg2.errors.DatetimeFieldOverflow: value for "YYYY" in source string is out of range\nDETAIL: Value must be in the range -2147483648 to 2147483647.\n\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File "/opt/sqlbot/app/apps/chat/task/llm.py", line 884, in execute_sql\n return exec_sql(ds=self.ds, sql=sql, origin_column=False)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nsqlalchemy.exc.DataError: (psycopg2.errors.DatetimeFieldOverflow) value for "YYYY" in source string is out of range\nDETAIL: Value must be in the range -2147483648 to 2147483647.\n\n[SQL: SELECT \n TO_CHAR(TO_DATE("ohi"."end_time", \'YYYY-MM-DD HH24:MI:SS\'), \'YYYY-MM\') AS "month", \n AVG(EXTRACT(EPOCH FROM (TO_TIMESTAMP("ohi"."end_time", \'YYYY-MM-DD HH24:MI:SS\') - TO_TIMESTAMP("oi"."register_time", \'YYYY-MM-DD HH24:MI:SS\')))/3600) AS "avg_handle_hours" \nFROM "public"."order_handle_info_dp" "ohi" \nINNER JOIN "public"."up_order_info_dp" "oi" ON "ohi"."order_id" = "oi"."order_id" \nWHERE "ohi"."end_time" IS NOT NULL \n AND "oi"."register_time" IS NOT NULL \n AND "ohi"."end_time" >= \'2024-01-01\' \n AND "ohi"."end_time" <= \'2025-12-29\' \nGROUP BY TO_CHAR(TO_DATE("ohi"."end_time", \'YYYY-MM-DD HH24:MI:SS\'), \'YYYY-MM\') \nORDER BY "month" ASC \nLIMIT 1000]\n(Background on this error at: https://sqlalche.me/e/20/9h9h)\n\n</error-msg>\n<user-question>\n试着使用折线图展示工单处理时间的趋势\n</user-question>\n<change-title>\nFalse\n</change-title>\n', 'role': 'user'}, {'content': '{\n "success": true,\n "sql": "SELECT \\n SUBSTRING(\\"ohi\\".\\"end_time\\" FROM 1 FOR 7) AS \\"month\\", \\n AVG(EXTRACT(EPOCH FROM (TO_TIMESTAMP(\\"ohi\\".\\"end_time\\", \'YYYY-MM-DD HH24:MI:SS\') - TO_TIMESTAMP(\\"oi\\".\\"register_time\\", \'YYYY-MM-DD HH24:MI:SS\')))/3600) AS \\"avg_handle_hours\\" \\nFROM \\"public\\".\\"order_handle_info_dp\\" \\"ohi\\" \\nINNER JOIN \\"public\\".\\"up_order_info_dp\\" \\"oi\\" ON \\"ohi\\".\\"order_id\\" = \\"oi\\".\\"order_id\\" \\nWHERE \\"ohi\\".\\"end_time\\" IS NOT NULL \\n AND \\"oi\\".\\"register_time\\" IS NOT NULL \\n AND \\"ohi\\".\\"end_time\\" >= \'2024-01-01\' \\n AND \\"ohi\\".\\"end_time\\" <= \'2025-12-29\' \\nGROUP BY SUBSTRING(\\"ohi\\".\\"end_time\\" FROM 1 FOR 7) \\nORDER BY \\"month\\" ASC \\nLIMIT 1000",\n "tables": ["order_handle_info_dp", "up_order_info_dp"],\n "chart-type": "line"\n}', 'role': 'assistant'}, {'content': '<background-infos>\n <current-time>\n 2025-12-29 16:57:23\n </current-time>\n<background-infos>\n<error-msg>\nTraceback (most recent call last):\n File "/opt/sqlbot/app/.venv/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 1967, in _exec_single_context\n self.dialect.do_execute(\npsycopg2.errors.DatetimeFieldOverflow: value for "YYYY" in source string is out of range\nDETAIL: Value must be in the range -2147483648 to 2147483647.\n\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File "/opt/sqlbot/app/apps/chat/task/llm.py", line 884, in execute_sql\n return exec_sql(ds=self.ds, sql=sql, origin_column=False)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nsqlalchemy.exc.DataError: (psycopg2.errors.DatetimeFieldOverflow) value for "YYYY" in source string is out of range\nDETAIL: Value must be in the range -2147483648 to 2147483647.\n\n[SQL: SELECT \n SUBSTRING("ohi"."end_time" FROM 1 FOR 7) AS "month", \n AVG(EXTRACT(EPOCH FROM (TO_TIMESTAMP("ohi"."end_time", \'YYYY-MM-DD HH24:MI:SS\') - TO_TIMESTAMP("oi"."register_time", \'YYYY-MM-DD HH24:MI:SS\')))/3600) AS "avg_handle_hours" \nFROM "public"."order_handle_info_dp" "ohi" \nINNER JOIN "public"."up_order_info_dp" "oi" ON "ohi"."order_id" = "oi"."order_id" \nWHERE "ohi"."end_time" IS NOT NULL \n AND "oi"."register_time" IS NOT NULL \n AND "ohi"."end_time" >= \'2024-01-01\' \n AND "ohi"."end_time" <= \'2025-12-29\' \nGROUP BY SUBSTRING("ohi"."end_time" FROM 1 FOR 7) \nORDER BY "month" ASC \nLIMIT 1000]\n(Background on this error at: https://sqlalche.me/e/20/9h9h)\n\n</error-msg>\n<user-question>\n用柱状图画出来工单取消的主要原因有哪些\n</user-question>\n<change-title>\nFalse\n</change-title>\n', 'role': 'user'}], 'model': '1', 'stream': True, 'stream_options': {'include_usage': True}, 'temperature': 0.6}}
2025-12-29 16:57:23,521 - openai._base_client - DEBUG:978 - Sending HTTP Request: POST http://10.61.5.2:7000/v1/chat/completions
2025-12-29 16:57:23,522 - httpcore.connection - DEBUG:47 - connect_tcp.started host='10.61.5.2' port=7000 local_address=None timeout=None socket_options=None
2025-12-29 16:57:23,524 - httpcore.connection - DEBUG:47 - connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x7268a0df3150>
2025-12-29 16:57:23,524 - httpcore.http11 - DEBUG:47 - send_request_headers.started request=<Request [b'POST']>
2025-12-29 16:57:23,525 - httpcore.http11 - DEBUG:47 - send_request_headers.complete
2025-12-29 16:57:23,526 - httpcore.http11 - DEBUG:47 - send_request_body.started request=<Request [b'POST']>
2025-12-29 16:57:23,526 - httpcore.http11 - DEBUG:47 - send_request_body.complete
2025-12-29 16:57:23,526 - httpcore.http11 - DEBUG:47 - receive_response_headers.started request=<Request [b'POST']>
2025-12-29 16:57:23,541 - httpcore.http11 - DEBUG:47 - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'date', b'Mon, 29 Dec 2025 08:57:23 GMT'), (b'server', b'uvicorn'), (b'content-type', b'text/event-stream; charset=utf-8'), (b'transfer-encoding', b'chunked')])
2025-12-29 16:57:23,543 - openai._base_client - DEBUG:1016 - HTTP Response: POST http://10.61.5.2:7000/v1/chat/completions "200 OK" Headers({'date': 'Mon, 29 Dec 2025 08:57:23 GMT', 'server': 'uvicorn', 'content-type': 'text/event-stream; charset=utf-8', 'transfer-encoding': 'chunked'})
2025-12-29 16:57:23,543 - openai._base_client - DEBUG:1024 - request_id: None
2025-12-29 16:57:23,543 - httpcore.http11 - DEBUG:47 - receive_response_body.started request=<Request [b'POST']>
2025-12-29 16:57:25,797 - httpcore.http11 - DEBUG:47 - response_closed.started
2025-12-29 16:57:25,797 - httpcore.http11 - DEBUG:47 - response_closed.complete
2025-12-29 16:57:25,797 - httpcore.http11 - DEBUG:47 - receive_response_body.failed exception=GeneratorExit()
2025-12-29 16:57:25,918 - openai._base_client - DEBUG:482 - Request options: {'method': 'post', 'url': '/chat/completions', 'files': None, 'idempotency_key': 'stainless-python-retry-e8fc80f7-505e-4566-a7b3-121dbc47dffa', 'json_data': {'messages': [{'content': '<Instruction>\n 你是"SQLBOT"，智能问数小助手，可以根据用户提问，专业生成SQL与可视化图表。\n 你当前的任务是根据给定SQL语句和用户问题，生成数据可视化图表的配置项。\n 用户的提问在<user-question>内，<sql>内是给定需要参考的SQL，<chart-type>内是推荐你生成的图表类型\n</Instruction>\n\n你必须遵守以下规则:\n<Rules>\n <rule>\n 请使用语言：简体中文 回答，若有深度思考过程，则思考过程也需要使用 简体中文 输出\n </rule>\n <rule>\n 支持的图表类型为表格(table)、柱状图(column)、条形图(bar)、折线图(line)或饼图(pie), 提供给你的<chart-type>值则为 table/column/bar/line/pie 中的一个，若没有推荐类型，则由你自己选择一个合适的类型。\n 图表类型选择原则推荐：趋势 over time 用 line，分类对比用 column/bar，占比用 pie，原始数据查看用 table\n </rule>\n <rule>\n 不需要你提供创建图表的代码，你只需要负责根据要求生成JSON配置项\n </rule>\n <rule>\n 用户提问<user-question>的内容只是参考，主要以<sql>内的SQL为准\n </rule>\n <rule>\n 若用户提问<user-question>内就是参考SQL，则以<sql>内的SQL为准进行推测，选择合适的图表类型展示\n </rule>\n <rule>\n 你需要在JSON内生成一个图表的标题，放在"title"字段内，这个标题需要尽量精简\n </rule>\n <rule>\n 如果需要表格，JSON格式应为：\n {"type":"table", "title": "标题", "columns": [{"name":"简体中文字段名1", "value": "SQL 查询列 1(有别名用别名,去掉外层的反引号、双引号、方括号)"}, {"name": "简体中文字段名 2", "value": "SQL 查询列 2(有别名用别名,去掉外层的反引号、双引号、方括号)"}]}\n 必须从 SQL 查询列中提取“columns”\n </rule>\n <rule>\n 如果需要柱状图，JSON格式应为（如果有分类则在JSON中返回series）：\n {"type":"column", "title": "标题", "axis": {"x": {"name":"x轴的简体中文名称", "value": "SQL 查询 x 轴的列(有别名用别名,去掉外层的反引号、双引号、方括号)"}, "y": {"name":"y轴的简体中文名称","value": "SQL 查询 y 轴的列(有别名用别名,去掉外层的反引号、双引号、方括号)"}, "series": {"name":"分类的简体中文名称","value":"SQL 查询分类的列(有别名用别名,去掉外层的反引号、双引号、方括号)"}}}\n 柱状图使用一个分类字段（series），一个X轴字段（x）和一个Y轴数值字段（y），其中必须从SQL查询列中提取"x"、"y"与"series"。\n </rule>\n <rule>\n 如果需要条形图，JSON格式应为（如果有分类则在JSON中返回series），条形图相当于是旋转后的柱状图，因此 x 轴仍为维度轴，y 轴仍为指标轴：\n {"type":"bar", "title": "标题", "axis": {"x": {"name":"x轴的简体中文名称", "value": "SQL 查询 x 轴的列(有别名用别名,去掉外层的反引号、双引号、方括号)"}, "y": {"name":"y轴的简体中文名称","value": "SQL 查询 y 轴的列(有别名用别名,去掉外层的反引号、双引号、方括号)"}, "series": {"name":"分类的简体中文名称","value":"SQL 查询分类的列(有别名用别名,去掉外层的反引号、双引号、方括号)"}}}\n 条形图使用一个分类字段（series），一个X轴字段（x）和一个Y轴数值字段（y），其中必须从SQL查询列中提取"x"和"y"与"series"。\n </rule>\n <rule>\n 如果需要折线图，JSON格式应为（如果有分类则在JSON中返回series）：\n {"type":"line", "title": "标题", "axis": {"x": {"name":"x轴的简体中文名称","value": "SQL 查询 x 轴的列(有别名用别名,去掉外层的反引号、双引号、方括号)"}, "y": {"name":"y轴的简体中文名称","value": "SQL 查询 y 轴的列(有别名用别名,去掉外层的反引号、双引号、方括号)"}, "series": {"name":"分类的简体中文名称","value":"SQL 查询分类的列(有别名用别名,去掉外层的反引号、双引号、方括号)"}}}\n 折线图使用一个分类字段（series），一个X轴字段（x）和一个Y轴数值字段（y），其中必须从SQL查询列中提取"x"、"y"与"series"。\n </rule>\n <rule>\n 如果需要饼图，JSON格式应为：\n {"type":"pie", "title": "标题", "axis": {"y": {"name":"值轴的简体中文名称","value":"SQL 查询数值的列(有别名用别名,去掉外层的反引号、双引号、方括号)"}, "series": {"name":"分类的简体中文名称","value":"SQL 查询分类的列(有别名用别名,去掉外层的反引号、双引号、方括号)"}}}\n 饼图使用一个分类字段（series）和一个数值字段（y），其中必须从SQL查询列中提取"y"与"series"。\n </rule>\n <rule>\n 如果SQL中没有分类列，那么JSON内的series字段不需要出现\n </rule>\n <rule>\n 如果SQL查询结果中存在可用于数据分类的字段（如国家、产品类型等），则必须提供series配置。如果不存在，则无需在JSON中包含series字段。\n </rule>\n <rule>\n 我们目前的情况适用于单指标、多分类的场景（展示table除外），若SQL中包含多指标列，请选择一个最符合提问情况的指标作为值轴\n </rule>\n <rule>\n 如果你无法根据提供的内容生成合适的JSON配置，则返回：{"type":"error", "reason": "抱歉，我无法生成合适的图表配置"}\n 可以的话，你可以稍微丰富一下错误信息，让用户知道可能的原因。例如："reason": "无法生成配置：提供的SQL查询结果中没有找到适合作为分类(series)的字段。"\n </rule>\n \n<Rules>\n\n### 以下<example>帮助你理解问题及返回格式的例子，不要将<example>内的表结构用来回答用户的问题\n<example>\n <chat-examples>\n <example>\n <input>\n <sql>SELECT `u`.`email` AS `email`, `u`.`id` AS `id`, `u`.`account` AS `account`, `u`.`enable` AS `enable`, `u`.`create_time` AS `create_time`, `u`.`language` AS `language`, `u`.`default_oid` AS `default_oid`, `u`.`name` AS `name`, `u`.`phone` AS `phone`, FROM `per_user` `u` LIMIT 1000</sql>\n <user-question>查询所有用户信息</user-question>\n <chart-type></chart-type>\n </input>\n <output>\n {"type":"table","title":"所有用户信息","columns":[{"name":"邮箱","value":"email"},{"name":"ID","value":"id"},{"name":"账号","value":"account"},{"name":"启用状态","value":"enable"},{"name":"创建时间","value":"create_time"},{"name":"语言","value":"language"},{"name":"所属组织ID","value":"default_oid"},{"name":"姓名","value":"name"},{"name":"Phone","value":"phone"}]}\n </output>\n </example>\n <example>\n <input>\n <sql>SELECT `o`.`name` AS `org_name`, COUNT(`u`.`id`) AS `user_count` FROM `per_user` `u` JOIN `per_org` `o` ON `u`.`default_oid` = `o`.`id` GROUP BY `o`.`name` ORDER BY `user_count` DESC LIMIT 1000</sql>\n <user-question>饼图展示各个组织的人员数量</user-question>\n <chart-type> pie </chart-type>\n </input>\n <output>\n {"type":"pie","title":"组织人数统计","axis":{"y":{"name":"人数","value":"user_count"},"series":{"name":"组织名称","value":"org_name"}}}\n </output>\n </example>\n </chat-examples>\n<example>\n\n### 响应, 请根据上述要求直接返回JSON结果:\n```json\n', 'role': 'system'}, {'content': '<user-question>\n用柱状图画出来工单取消的主要原因有哪些\n</user-question>\n<sql>\nSELECT \n "oci"."check_result" AS "cancel_reason", \n COUNT("oci"."id") AS "cancel_count" \nFROM "public"."order_cancel_info_sec" "oci" \nWHERE "oci"."check_result" IS NOT NULL \nGROUP BY "oci"."check_result" \nORDER BY "cancel_count" DESC \nLIMIT 1000\n</sql>\n<chart-type>\ncolumn\n</chart-type>\n', 'role': 'user'}], 'model': '1', 'stream': True, 'stream_options': {'include_usage': True}, 'temperature': 0.6}}
2025-12-29 16:57:25,919 - openai._base_client - DEBUG:978 - Sending HTTP Request: POST http://10.61.5.2:7000/v1/chat/completions
2025-12-29 16:57:25,920 - httpcore.connection - DEBUG:47 - connect_tcp.started host='10.61.5.2' port=7000 local_address=None timeout=None socket_options=None
2025-12-29 16:57:25,921 - httpcore.connection - DEBUG:47 - connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x7267eff7a890>
2025-12-29 16:57:25,922 - httpcore.http11 - DEBUG:47 - send_request_headers.started request=<Request [b'POST']>
2025-12-29 16:57:25,923 - httpcore.http11 - DEBUG:47 - send_request_headers.complete
2025-12-29 16:57:25,923 - httpcore.http11 - DEBUG:47 - send_request_body.started request=<Request [b'POST']>
2025-12-29 16:57:25,923 - httpcore.http11 - DEBUG:47 - send_request_body.complete
2025-12-29 16:57:25,923 - httpcore.http11 - DEBUG:47 - receive_response_headers.started request=<Request [b'POST']>
2025-12-29 16:57:25,931 - httpcore.http11 - DEBUG:47 - receive_response_headers.complete return_value=(b'HTTP/1.1', 200, b'OK', [(b'date', b'Mon, 29 Dec 2025 08:57:25 GMT'), (b'server', b'uvicorn'), (b'content-type', b'text/event-stream; charset=utf-8'), (b'transfer-encoding', b'chunked')])
2025-12-29 16:57:25,932 - openai._base_client - DEBUG:1016 - HTTP Response: POST http://10.61.5.2:7000/v1/chat/completions "200 OK" Headers({'date': 'Mon, 29 Dec 2025 08:57:25 GMT', 'server': 'uvicorn', 'content-type': 'text/event-stream; charset=utf-8', 'transfer-encoding': 'chunked'})
2025-12-29 16:57:25,932 - openai._base_client - DEBUG:1024 - request_id: None
2025-12-29 16:57:25,933 - httpcore.http11 - DEBUG:47 - receive_response_body.started request=<Request [b'POST']>
2025-12-29 16:57:27,157 - httpcore.http11 - DEBUG:47 - response_closed.started
2025-12-29 16:57:27,158 - httpcore.http11 - DEBUG:47 - response_closed.complete
2025-12-29 16:57:27,158 - httpcore.http11 - DEBUG:47 - receive_response_body.failed exception=GeneratorExit()
2025-12-29 16:57:27,216 - urllib3.connectionpool - DEBUG:246 - Starting new HTTP connection (1): localhost:8001
2025-12-29 16:57:27,220 - urllib3.connectionpool - DEBUG:475 - http://localhost:8001 "POST / HTTP/1.1" 404 22
2025-12-29 16:57:27,240 - mcp.server.lowlevel.server - DEBUG:779 - Response sent
2025-12-29 16:57:27,240 - mcp.server.sse - DEBUG:172 - Sending message via SSE: SessionMessage(message=JSONRPCMessage(root=JSONRPCResponse(jsonrpc='2.0', id=4, result={'content': [{'type': 'text', 'text': '```sql\nSELECT "oci"."check_result" AS "cancel_reason",\n COUNT("oci"."id") AS "cancel_count"\nFROM "public"."order_cancel_info_sec" "oci"\nWHERE "oci"."check_result" IS NOT NULL\nGROUP BY "oci"."check_result"\nORDER BY "cancel_count" DESC\nLIMIT 1000\n```\n\n| 取消原因 | 取消数量 |\n|:-------|:-------|\n| \u200b1 | \u200b3204 |\n| \u200b0 | \u200b260 |\n\n### generated chart picture\n\n'}], 'isError': False})), metadata=None)
2025-12-29 16:57:27,241 - sse_starlette.sse - DEBUG:179 - chunk: b'event: message\r\ndata: {"jsonrpc":"2.0","id":4,"result":{"content":[{"type":"text","text":"```sql\\nSELECT \\"oci\\".\\"check_result\\" AS \\"cancel_reason\\",\\n COUNT(\\"oci\\".\\"id\\") AS \\"cancel_count\\"\\nFROM \\"public\\".\\"order_cancel_info_sec\\" \\"oci\\"\\nWHERE \\"oci\\".\\"check_result\\" IS NOT NULL\\nGROUP BY \\"oci\\".\\"check_result\\"\\nORDER BY \\"cancel_count\\" DESC\\nLIMIT 1000\\n```\\n\\n| \xe5\x8f\x96\xe6\xb6\x88\xe5\x8e\x9f\xe5\x9b\xa0 | \xe5\x8f\x96\xe6\xb6\x88\xe6\x95\xb0\xe9\x87\x8f |\\n|:-------|:-------|\\n| \xe2\x80\x8b1 | \xe2\x80\x8b3204 |\\n| \xe2\x80\x8b0 | \xe2\x80\x8b260 |\\n\\n### generated chart picture\\n\\n"}],"isError":false}}\r\n\r\n'
2025-12-29 16:57:27,245 - sse_starlette.sse - DEBUG:200 - Got event: http.disconnect. Stop streaming.
2025-12-29 16:57:27,246 - root - DEBUG:193 - Client session disconnected 817ae3eb-cd49-49ff-8e52-2e6de91e584eTo Reproduce
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