feat(api-converter): 添加进销存采购订单API配置并实现本地缓存机制
新增api_config_9p04kww1pu.json配置文件，包含进销存采购订单相关的四个核心 API接口（查询列表、新建、详情、编辑），完善了load_api_configs函数， 增加本地文件缓存机制，支持从本地文件加载配置并在配置变更时同步保存， 优化refresh_api_configs函数以同步清理本地文件缓存。 BREAKING CHANGE: API配置方式调整，引入本地缓存机制可能影响原有部署流程
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{
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"serverName": "lzwcai_mcp_api_converter",
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"description": "业务API集合",
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"domainUrl": "https://erp.lzwc.cn/api",
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"packageName": "lzwcai-mcp-dyntoolapi",
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"version": "1.0.0",
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"apiConfig": [
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{
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"id": "2019327913872793602",
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"enterpriseId": "1932095424144715777",
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"bizSysId": "1970385781825785858",
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"domainUrl": "https://erp.lzwc.cn/api",
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"interfaceName": "获取内容列表（进销存-采购订单）",
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"businessPrompts": "",
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"returnType": "JSON",
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"returnConversion": "{\"success_param\": \"code==200\", \"status_param\": \"code\", \"msg_param\": \"msg\", \"data\": \"data\"}",
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"header": null,
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"apiUrl": "/jxcPurchase/queryPageList",
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"parametersFormat": "0",
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"method": "POST",
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"status": 1,
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"version": "v1.0",
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"authenticationRequired": 1,
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"responseExample": null,
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"crudType": "0",
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"isView": 0,
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"templateType": "markdown",
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"viewTemplates": null,
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"parameters": [
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{
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"keyParam": null,
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"required": 1,
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"paramName": "Authorization",
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"paramType": "STRING",
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"paramPrompts": "注意Bearer后面有一个空格，即Bearer+空格+登录返回的token",
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"defaultValue": "Bearer {{token}}",
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"assoKey": null,
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"assoApiId": null,
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"memory": 0,
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"apiId": "2019327913872793602",
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"requestType": "header",
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"dataFormat": null,
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"validity": null,
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"sort": "1",
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"tags": "0",
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"example": ""
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},
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{
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"keyParam": null,
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"required": 0,
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"paramName": "page",
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"paramType": "INTEGER",
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"paramPrompts": "当前页码",
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"defaultValue": "",
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"assoKey": null,
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"assoApiId": null,
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"memory": 0,
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"apiId": "2019327913872793602",
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"requestType": "formdata",
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"dataFormat": null,
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"validity": null,
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"sort": "2",
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"tags": "0",
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"example": "1"
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},
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{
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"keyParam": null,
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"required": 0,
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"paramName": "limit",
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"paramType": "INTEGER",
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"paramPrompts": "每页条数",
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"defaultValue": "",
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"assoKey": null,
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"assoApiId": null,
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"memory": 0,
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"apiId": "2019327913872793602",
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"requestType": "formdata",
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"dataFormat": null,
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"validity": null,
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"sort": "3",
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"tags": "0",
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"example": ""
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},
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{
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"keyParam": null,
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"required": 0,
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"paramName": "search",
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"paramType": "STRING",
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"paramPrompts": "搜索关键字",
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"defaultValue": "",
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"assoKey": null,
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"assoApiId": null,
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"memory": 0,
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"apiId": "2019327913872793602",
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"requestType": "formdata",
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"dataFormat": null,
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"validity": null,
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"sort": "4",
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"tags": "0",
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"example": ""
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},
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{
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"keyParam": null,
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"required": 0,
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"paramName": "searchList[]",
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"paramType": "STRING",
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"paramPrompts": "高级搜索条件数组，注意用的时候参数名去掉中括号",
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"defaultValue": "",
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"assoKey": null,
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"assoApiId": null,
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"memory": 0,
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"apiId": "2019327913872793602",
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"requestType": "formdata",
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"dataFormat": null,
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"validity": null,
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"sort": "5",
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"tags": "0",
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"example": ""
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},
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{
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"keyParam": null,
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"required": 0,
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"paramName": "sceneId",
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"paramType": "INTEGER",
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"paramPrompts": "场景ID",
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"defaultValue": "",
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"assoKey": null,
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"assoApiId": null,
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"memory": 0,
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"apiId": "2019327913872793602",
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"requestType": "formdata",
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"dataFormat": null,
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"validity": null,
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"sort": "6",
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"tags": "0",
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"example": ""
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},
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{
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"keyParam": null,
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"required": 0,
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"paramName": "type",
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"paramType": "INTEGER",
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"paramPrompts": "",
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"defaultValue": "",
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"assoKey": null,
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"assoApiId": null,
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"memory": 0,
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"apiId": "2019327913872793602",
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"requestType": "formdata",
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"dataFormat": null,
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"validity": null,
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"sort": "7",
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"tags": "0",
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"example": "10-采购订单"
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}
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]
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},
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{
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"id": "2019328946728542210",
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"enterpriseId": "1932095424144715777",
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"bizSysId": "1970385781825785858",
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"domainUrl": "https://erp.lzwc.cn/api",
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"interfaceName": "新建内容（进销存-采购订单）",
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"businessPrompts": "",
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"returnType": "JSON",
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"returnConversion": "{\"success_param\": \"code==200\", \"status_param\": \"code\", \"msg_param\": \"msg\", \"data\": \"data\"}",
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"header": null,
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"apiUrl": "/jxcPurchase/add",
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"parametersFormat": "0",
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"method": "POST",
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"status": 1,
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"version": "v1.0",
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"authenticationRequired": 1,
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"responseExample": null,
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"crudType": "0",
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"isView": 0,
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"templateType": "markdown",
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"viewTemplates": null,
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"parameters": [
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{
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"keyParam": null,
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"required": 1,
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"paramName": "Authorization",
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"paramType": "STRING",
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"paramPrompts": "注意Bearer后面有一个空格，即Bearer+空格+登录返回的token",
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"defaultValue": "Bearer {{token}}",
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"assoKey": null,
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"assoApiId": null,
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"memory": 0,
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"apiId": "2019328946728542210",
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"requestType": "header",
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"dataFormat": null,
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"validity": null,
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"sort": "1",
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"tags": "0",
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"example": ""
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},
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{
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"keyParam": null,
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"required": 0,
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"paramName": "entity",
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"paramType": "ARRAY",
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"paramPrompts": "基本信息，参考合同",
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"defaultValue": "",
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"assoKey": null,
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"assoApiId": null,
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"memory": 0,
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"apiId": "2019328946728542210",
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"requestType": "formdata",
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"sort": "2",
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"tags": "0",
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"example": ""
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},
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{
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"keyParam": null,
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"required": 0,
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"paramName": "examineFlowData",
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"paramType": "ARRAY",
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"paramPrompts": "审批流相关信息，参考合同",
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"defaultValue": "",
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"assoKey": null,
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"assoApiId": null,
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"memory": 0,
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"apiId": "2019328946728542210",
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"requestType": "formdata",
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"dataFormat": null,
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"validity": null,
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"sort": "3",
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"tags": "0",
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"example": ""
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},
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{
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"keyParam": null,
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"required": 0,
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"paramName": "field",
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"paramType": "ARRAY",
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"paramPrompts": "字段相关信息，参考合同",
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"defaultValue": "",
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"assoKey": null,
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"assoApiId": null,
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"memory": 0,
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"apiId": "2019328946728542210",
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"requestType": "formdata",
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"sort": "4",
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"tags": "0",
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"example": ""
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},
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{
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"keyParam": null,
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"required": 0,
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"paramName": "productList",
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"paramType": "ARRAY",
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"paramPrompts": "产品列表",
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"defaultValue": "",
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"assoKey": null,
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"assoApiId": null,
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"memory": 0,
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"apiId": "2019328946728542210",
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"requestType": "formdata",
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"sort": "5",
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"example": ""
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},
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{
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"keyParam": null,
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"required": 0,
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"paramName": "expendList",
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"paramType": "ARRAY",
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"paramPrompts": "扩展数据列表，字段参数参考为空",
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"defaultValue": "",
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"assoKey": null,
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"assoApiId": null,
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"memory": 0,
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"apiId": "2019328946728542210",
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"requestType": "formdata",
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"validity": null,
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"sort": "6",
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"tags": "0",
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"example": ""
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}
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]
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},
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{
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"id": "2019329359485804545",
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"enterpriseId": "1932095424144715777",
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"bizSysId": "1970385781825785858",
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"domainUrl": "https://erp.lzwc.cn/api",
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"interfaceName": "获取内容详情（进销存-采购订单）",
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"businessPrompts": "",
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"returnType": "JSON",
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"returnConversion": "{\"success_param\": \"code==200\", \"status_param\": \"code\", \"msg_param\": \"msg\", \"data\": \"data\"}",
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"header": null,
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"apiUrl": "/jxcPurchase/queryById/{id}",
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"parametersFormat": "0",
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"method": "POST",
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"status": 1,
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"version": "v1.0",
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"authenticationRequired": 1,
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"responseExample": null,
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"crudType": "0",
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"isView": 0,
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"templateType": "markdown",
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"parameters": [
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{
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"keyParam": null,
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||||
"required": 1,
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"paramName": "Authorization",
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"paramType": "STRING",
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"paramPrompts": "注意Bearer后面有一个空格，即Bearer+空格+登录返回的token",
|
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"defaultValue": "Bearer {{token}}",
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||||
"assoKey": null,
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"memory": 0,
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"sort": "1",
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"example": ""
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},
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{
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"required": 1,
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"paramName": "id",
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"paramType": "STRING",
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"paramPrompts": "",
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"defaultValue": "",
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"assoKey": null,
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"memory": 0,
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"apiId": "2019329359485804545",
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"requestType": "path",
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"dataFormat": null,
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"validity": null,
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"sort": "2",
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"tags": "0",
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"example": ""
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}
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]
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},
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{
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"id": "2019330096911556610",
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"enterpriseId": "1932095424144715777",
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"bizSysId": "1970385781825785858",
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"domainUrl": "https://erp.lzwc.cn/api",
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"interfaceName": "编辑内容（进销存-采购订单）",
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"businessPrompts": "",
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"returnType": "JSON",
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"returnConversion": "{\"success_param\": \"code==200\", \"status_param\": \"code\", \"msg_param\": \"msg\", \"data\": \"data\"}",
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"header": null,
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"apiUrl": "/jxcPurchase/update",
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"parametersFormat": "0",
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"method": "POST",
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"status": 1,
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"version": "v1.0",
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"authenticationRequired": 1,
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"responseExample": null,
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"crudType": "0",
|
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"isView": 0,
|
||||
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||||
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||||
"parameters": [
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||||
{
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||||
"keyParam": null,
|
||||
"required": 1,
|
||||
"paramName": "Authorization",
|
||||
"paramType": "STRING",
|
||||
"paramPrompts": "注意Bearer后面有一个空格，即Bearer+空格+登录返回的token",
|
||||
"defaultValue": "Bearer {{token}}",
|
||||
"assoKey": null,
|
||||
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|
||||
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||||
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|
||||
},
|
||||
{
|
||||
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||||
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|
||||
"paramName": "entity",
|
||||
"paramType": "STRING",
|
||||
"paramPrompts": "基本信息，参考合同",
|
||||
"defaultValue": "",
|
||||
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"example": ""
|
||||
},
|
||||
{
|
||||
"keyParam": null,
|
||||
"required": 0,
|
||||
"paramName": "examineFlowData",
|
||||
"paramType": "STRING",
|
||||
"paramPrompts": "审批流相关信息，参考合同",
|
||||
"defaultValue": "",
|
||||
"assoKey": null,
|
||||
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},
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{
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"required": 0,
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"paramName": "field",
|
||||
"paramType": "STRING",
|
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"paramPrompts": "字段相关信息，参考合同",
|
||||
"defaultValue": "",
|
||||
"assoKey": null,
|
||||
"assoApiId": null,
|
||||
"memory": 0,
|
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"apiId": "2019330096911556610",
|
||||
"requestType": "formdata",
|
||||
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||||
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|
||||
"sort": "4",
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||||
"tags": "0",
|
||||
"example": ""
|
||||
},
|
||||
{
|
||||
"keyParam": null,
|
||||
"required": 0,
|
||||
"paramName": "productList",
|
||||
"paramType": "STRING",
|
||||
"paramPrompts": "产品列表",
|
||||
"defaultValue": "",
|
||||
"assoKey": null,
|
||||
"assoApiId": null,
|
||||
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|
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"apiId": "2019330096911556610",
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||||
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||||
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||||
"example": ""
|
||||
},
|
||||
{
|
||||
"keyParam": null,
|
||||
"required": 0,
|
||||
"paramName": "expendList",
|
||||
"paramType": "STRING",
|
||||
"paramPrompts": "扩展数据列表，字段参数参考为空",
|
||||
"defaultValue": "",
|
||||
"assoKey": null,
|
||||
"assoApiId": null,
|
||||
"memory": 0,
|
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"apiId": "2019330096911556610",
|
||||
"requestType": "formdata",
|
||||
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|
||||
"validity": null,
|
||||
"sort": "6",
|
||||
"tags": "0",
|
||||
"example": ""
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -138,13 +138,32 @@ def load_api_configs():
|
||||
config_key = f"business{business_uuid}"
|
||||
logger.info(f"租户配置变量名: {config_key}")
|
||||
|
||||
# 构建租户专属的配置文件路径
|
||||
memory_config_path = os.path.join(current_dir, f"api_config_{business_uuid}.json")
|
||||
|
||||
# 检查内存中是否已有该租户的配置
|
||||
if config_key in business_configs:
|
||||
logger.info(f"从内存中获取租户 {business_uuid} 的配置")
|
||||
return business_configs[config_key]
|
||||
|
||||
# 内存中没有，从业务平台获取
|
||||
logger.info(f"内存中没有租户 {business_uuid} 的配置，开始从业务平台获取...")
|
||||
# 内存中没有，尝试从本地文件加载
|
||||
if os.path.exists(memory_config_path):
|
||||
try:
|
||||
logger.info(f"尝试从本地文件加载租户配置: {memory_config_path}")
|
||||
with open(memory_config_path, "r", encoding="utf-8") as f:
|
||||
config = json.load(f)
|
||||
logger.info(f"成功从本地文件加载租户 {business_uuid} 的配置，包含 {len(config.get('apiConfig', []))} 个API配置")
|
||||
|
||||
# 存储到内存中
|
||||
business_configs[config_key] = config
|
||||
logger.info(f"配置已加载到内存变量: {config_key}")
|
||||
|
||||
return config
|
||||
except Exception as e:
|
||||
logger.warning(f"从本地文件加载配置失败: {str(e)}，将从业务平台重新获取")
|
||||
|
||||
# 本地文件不存在或加载失败，从业务平台获取
|
||||
logger.info(f"本地文件不存在，开始从业务平台获取租户 {business_uuid} 的配置...")
|
||||
|
||||
try:
|
||||
# 从环境变量获取API ID列表
|
||||
@@ -181,6 +200,15 @@ def load_api_configs():
|
||||
logger.info(f"配置已存储到内存变量: {config_key}")
|
||||
logger.info(f"当前内存中共有 {len(business_configs)} 个租户配置")
|
||||
|
||||
# 保存到本地文件作为备份
|
||||
try:
|
||||
logger.info(f"保存配置到本地文件: {memory_config_path}")
|
||||
with open(memory_config_path, "w", encoding="utf-8") as f:
|
||||
json.dump(config, f, ensure_ascii=False, indent=2)
|
||||
logger.info("配置文件保存成功")
|
||||
except Exception as save_error:
|
||||
logger.warning(f"保存配置到本地文件失败（不影响运行）: {str(save_error)}")
|
||||
|
||||
return config
|
||||
|
||||
except Exception as e:
|
||||
@@ -639,7 +667,7 @@ def refresh_api_configs():
|
||||
|
||||
这个函数实现了配置的热加载功能，支持两种模式：
|
||||
- 文件模式：当检测到配置文件变化时会被调用
|
||||
- 内存模式：强制重新从业务平台获取配置并更新内存
|
||||
- 内存模式：强制重新从业务平台获取配置并更新内存和本地文件
|
||||
|
||||
全局变量更新:
|
||||
- api_configs: 重新加载的API配置
|
||||
@@ -658,7 +686,7 @@ def refresh_api_configs():
|
||||
# 获取配置模式
|
||||
config_mode = os.getenv('configMode', 'memory').lower()
|
||||
|
||||
# 内存模式下需要清除当前租户的缓存配置，强制重新获取
|
||||
# 内存模式下需要清除当前租户的缓存配置和本地文件，强制重新获取
|
||||
if config_mode == 'memory':
|
||||
business_uuid = os.getenv('businessUuid')
|
||||
if business_uuid:
|
||||
@@ -666,6 +694,16 @@ def refresh_api_configs():
|
||||
if config_key in business_configs:
|
||||
logger.info(f"清除租户 {business_uuid} 的缓存配置")
|
||||
del business_configs[config_key]
|
||||
|
||||
# 删除本地配置文件，强制从业务平台重新获取
|
||||
current_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
memory_config_path = os.path.join(current_dir, f"api_config_{business_uuid}.json")
|
||||
if os.path.exists(memory_config_path):
|
||||
try:
|
||||
os.remove(memory_config_path)
|
||||
logger.info(f"已删除本地配置文件: {memory_config_path}")
|
||||
except Exception as e:
|
||||
logger.warning(f"删除本地配置文件失败: {str(e)}")
|
||||
|
||||
# 重新加载API配置
|
||||
api_configs = load_api_configs()
|
||||
|
||||
@@ -2,11 +2,11 @@ import os
|
||||
|
||||
os.environ["modelId"] = "1946471611735015425"
|
||||
os.environ["bizSysId"] = "1970385781825785858"
|
||||
os.environ["bizSysApiIds"] = "[\"1970386761072058369\",\"1970386761185304578\",\"1970386761583763457\",\"1970386761420185602\"]"
|
||||
os.environ["businessUuid"] = "u9ua9ss2l8c"
|
||||
os.environ["bizSysApiIds"] = "[\"2019327913872793602\",\"2019328946728542210\",\"2019329359485804545\",\"2019330096911556610\"]"
|
||||
os.environ["businessUuid"] = "9p04kww1pu"
|
||||
os.environ["LZWCAI_CORP_MANAGER_URL"] = "http://192.168.2.236:8088"
|
||||
# 导入模块
|
||||
from lzwcai_mcp_api_converter.src.create_mcp import run_main
|
||||
|
||||
if __name__ == "__main__":
|
||||
run_main()
|
||||
run_main()
|
||||
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@@ -0,0 +1,223 @@
|
||||
2025-12-31 12:57:27 - root - INFO - [logger_config.py:151] - 日志系统初始化完成 - 日志目录: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\logs
|
||||
2025-12-31 12:57:27 - root - INFO - [logger_config.py:152] - 日志配置 - 级别: INFO, 文件大小限制: 10MB, 备份数量: 5
|
||||
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:347] - 开始运行 MCP SQL Executor 服务器
|
||||
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:299] - ============================================================
|
||||
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:300] - 正在启动 MCP 服务器: lzwcai-mcp-sqlexecutor
|
||||
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:301] - 版本: 0.1.0
|
||||
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:302] - ============================================================
|
||||
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:306] - 环境配置 - Database ID: 16
|
||||
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:307] - 环境配置 - Skill ID:
|
||||
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:308] - 环境配置 - Backend Base URL: http://192.168.11.24:8088
|
||||
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:309] - ============================================================
|
||||
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:314] - MCP 服务器已启动，等待客户端连接...
|
||||
2025-12-31 12:57:28 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
|
||||
2025-12-31 12:57:28 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
|
||||
2025-12-31 12:57:28 - mcp_services - INFO - [main.py:119] - 初始化查询配置（数据源: api）...
|
||||
2025-12-31 12:57:28 - mcp_services - INFO - [main.py:278] - 调用第三方API，skill_id:
|
||||
2025-12-31 12:57:28 - lzwcai_mcp_sqlexecutor.utils.api_client - INFO - [api_client.py:71] - 正在调用API: http://192.168.11.24:8088/datasource/skill/getBySkillId/
|
||||
2025-12-31 12:57:29 - httpx - INFO - [_client.py:1025] - HTTP Request: GET http://192.168.11.24:8088/datasource/skill/getBySkillId/ "HTTP/1.1 404 "
|
||||
2025-12-31 12:57:29 - lzwcai_mcp_sqlexecutor.utils.api_client - ERROR - [api_client.py:97] - API请求失败 (HTTP 404): http://192.168.11.24:8088/datasource/skill/getBySkillId/
|
||||
2025-12-31 12:57:29 - lzwcai_mcp_sqlexecutor.utils.api_client - ERROR - [api_client.py:98] - 错误响应: {"timestamp":"2025-12-31T12:57:30.248+08:00","status":404,"error":"Not Found","path":"/datasource/skill/getBySkillId/"}
|
||||
2025-12-31 12:57:29 - mcp_services - ERROR - [main.py:292] - API调用失败: API请求失败 (HTTP 404): http://192.168.11.24:8088/datasource/skill/getBySkillId/
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\utils\api_client.py", line 80, in get_skill_by_id
|
||||
response.raise_for_status()
|
||||
File "D:\anaconda3\Lib\site-packages\httpx\_models.py", line 829, in raise_for_status
|
||||
raise HTTPStatusError(message, request=request, response=self)
|
||||
httpx.HTTPStatusError: Client error '404 ' for url 'http://192.168.11.24:8088/datasource/skill/getBySkillId/'
|
||||
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404
|
||||
|
||||
During handling of the above exception, another exception occurred:
|
||||
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 281, in call_third_party_api
|
||||
raw_result = get_skill_by_id(skill_id)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\utils\api_client.py", line 208, in get_skill_by_id
|
||||
return default_client.get_skill_by_id(skill_id)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\utils\api_client.py", line 99, in get_skill_by_id
|
||||
raise Exception(error_msg)
|
||||
Exception: API请求失败 (HTTP 404): http://192.168.11.24:8088/datasource/skill/getBySkillId/
|
||||
2025-12-31 12:57:29 - mcp_services - WARNING - [main.py:131] - API获取失败，降级使用本地配置: API请求失败 (HTTP 404): http://192.168.11.24:8088/datasource/skill/getBySkillId/
|
||||
2025-12-31 12:57:29 - mcp_services - INFO - [main.py:55] - 成功加载 3 个业务查询配置
|
||||
2025-12-31 12:57:29 - mcp_services - ERROR - [main.py:92] - 生成工具模式失败: 2006300000000000001, 错误: 'businessName'
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
|
||||
tool_name = query['businessName']
|
||||
~~~~~^^^^^^^^^^^^^^^^
|
||||
KeyError: 'businessName'
|
||||
2025-12-31 12:57:29 - mcp_services - ERROR - [main.py:170] - 列出工具失败: 'businessName'
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 162, in handle_list_tools
|
||||
tool = generate_tool_schema_from_query(query)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
|
||||
tool_name = query['businessName']
|
||||
~~~~~^^^^^^^^^^^^^^^^
|
||||
KeyError: 'businessName'
|
||||
2025-12-31 12:57:29 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
|
||||
2025-12-31 12:57:29 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
|
||||
2025-12-31 12:57:29 - mcp_services - ERROR - [main.py:92] - 生成工具模式失败: 2006300000000000001, 错误: 'businessName'
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
|
||||
tool_name = query['businessName']
|
||||
~~~~~^^^^^^^^^^^^^^^^
|
||||
KeyError: 'businessName'
|
||||
2025-12-31 12:57:29 - mcp_services - ERROR - [main.py:170] - 列出工具失败: 'businessName'
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 162, in handle_list_tools
|
||||
tool = generate_tool_schema_from_query(query)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
|
||||
tool_name = query['businessName']
|
||||
~~~~~^^^^^^^^^^^^^^^^
|
||||
KeyError: 'businessName'
|
||||
2025-12-31 12:57:54 - root - INFO - [logger_config.py:151] - 日志系统初始化完成 - 日志目录: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\logs
|
||||
2025-12-31 12:57:54 - root - INFO - [logger_config.py:152] - 日志配置 - 级别: INFO, 文件大小限制: 10MB, 备份数量: 5
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:347] - 开始运行 MCP SQL Executor 服务器
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:299] - ============================================================
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:300] - 正在启动 MCP 服务器: lzwcai-mcp-sqlexecutor
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:301] - 版本: 0.1.0
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:302] - ============================================================
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:306] - 环境配置 - Database ID: 16
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:307] - 环境配置 - Skill ID:
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:308] - 环境配置 - Backend Base URL: http://192.168.11.24:8088
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:309] - ============================================================
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:314] - MCP 服务器已启动，等待客户端连接...
|
||||
2025-12-31 12:57:54 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:119] - 初始化查询配置（数据源: local）...
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:55] - 成功加载 3 个业务查询配置
|
||||
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:123] - 本地配置: 3 条
|
||||
2025-12-31 12:57:54 - mcp_services - ERROR - [main.py:92] - 生成工具模式失败: 2006300000000000001, 错误: 'businessName'
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
|
||||
tool_name = query['businessName']
|
||||
~~~~~^^^^^^^^^^^^^^^^
|
||||
KeyError: 'businessName'
|
||||
2025-12-31 12:57:54 - mcp_services - ERROR - [main.py:170] - 列出工具失败: 'businessName'
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 162, in handle_list_tools
|
||||
tool = generate_tool_schema_from_query(query)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
|
||||
tool_name = query['businessName']
|
||||
~~~~~^^^^^^^^^^^^^^^^
|
||||
KeyError: 'businessName'
|
||||
2025-12-31 15:00:31 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
|
||||
2025-12-31 15:00:31 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
|
||||
2025-12-31 15:00:31 - mcp_services - ERROR - [main.py:92] - 生成工具模式失败: 2006300000000000001, 错误: 'businessName'
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
|
||||
tool_name = query['businessName']
|
||||
~~~~~^^^^^^^^^^^^^^^^
|
||||
KeyError: 'businessName'
|
||||
2025-12-31 15:00:31 - mcp_services - ERROR - [main.py:170] - 列出工具失败: 'businessName'
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 162, in handle_list_tools
|
||||
tool = generate_tool_schema_from_query(query)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
|
||||
tool_name = query['businessName']
|
||||
~~~~~^^^^^^^^^^^^^^^^
|
||||
KeyError: 'businessName'
|
||||
2025-12-31 15:00:34 - mcp_services - INFO - [main.py:329] - MCP 服务器已关闭
|
||||
2025-12-31 15:00:53 - root - INFO - [logger_config.py:151] - 日志系统初始化完成 - 日志目录: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\logs
|
||||
2025-12-31 15:00:53 - root - INFO - [logger_config.py:152] - 日志配置 - 级别: INFO, 文件大小限制: 10MB, 备份数量: 5
|
||||
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:347] - 开始运行 MCP SQL Executor 服务器
|
||||
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:299] - ============================================================
|
||||
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:300] - 正在启动 MCP 服务器: lzwcai-mcp-sqlexecutor
|
||||
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:301] - 版本: 0.1.0
|
||||
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:302] - ============================================================
|
||||
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:306] - 环境配置 - Database ID: 29
|
||||
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:307] - 环境配置 - Skill ID:
|
||||
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:308] - 环境配置 - Backend Base URL: http://lzwcai-demp-corp-manager:8086
|
||||
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:309] - ============================================================
|
||||
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:314] - MCP 服务器已启动，等待客户端连接...
|
||||
2025-12-31 15:00:54 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
|
||||
2025-12-31 15:00:54 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
|
||||
2025-12-31 15:00:54 - mcp_services - INFO - [main.py:119] - 初始化查询配置（数据源: api）...
|
||||
2025-12-31 15:00:54 - mcp_services - INFO - [main.py:278] - 调用第三方API，skill_id:
|
||||
2025-12-31 15:00:54 - lzwcai_mcp_sqlexecutor.utils.api_client - INFO - [api_client.py:71] - 正在调用API: http://lzwcai-demp-corp-manager:8086/datasource/skill/getBySkillId/
|
||||
2025-12-31 15:00:56 - lzwcai_mcp_sqlexecutor.utils.api_client - ERROR - [api_client.py:103] - API请求异常: http://lzwcai-demp-corp-manager:8086/datasource/skill/getBySkillId/, 错误: [Errno 11001] getaddrinfo failed
|
||||
2025-12-31 15:00:56 - mcp_services - ERROR - [main.py:292] - API调用失败: API请求异常: http://lzwcai-demp-corp-manager:8086/datasource/skill/getBySkillId/, 错误: [Errno 11001] getaddrinfo failed
|
||||
Traceback (most recent call last):
|
||||
File "D:\anaconda3\Lib\site-packages\httpx\_transports\default.py", line 101, in map_httpcore_exceptions
|
||||
yield
|
||||
File "D:\anaconda3\Lib\site-packages\httpx\_transports\default.py", line 250, in handle_request
|
||||
resp = self._pool.handle_request(req)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "D:\anaconda3\Lib\site-packages\httpcore\_sync\connection_pool.py", line 216, in handle_request
|
||||
raise exc from None
|
||||
File "D:\anaconda3\Lib\site-packages\httpcore\_sync\connection_pool.py", line 196, in handle_request
|
||||
response = connection.handle_request(
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "D:\anaconda3\Lib\site-packages\httpcore\_sync\connection.py", line 99, in handle_request
|
||||
raise exc
|
||||
File "D:\anaconda3\Lib\site-packages\httpcore\_sync\connection.py", line 76, in handle_request
|
||||
stream = self._connect(request)
|
||||
^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "D:\anaconda3\Lib\site-packages\httpcore\_sync\connection.py", line 122, in _connect
|
||||
stream = self._network_backend.connect_tcp(**kwargs)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "D:\anaconda3\Lib\site-packages\httpcore\_backends\sync.py", line 205, in connect_tcp
|
||||
with map_exceptions(exc_map):
|
||||
^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "D:\anaconda3\Lib\contextlib.py", line 158, in __exit__
|
||||
self.gen.throw(value)
|
||||
File "D:\anaconda3\Lib\site-packages\httpcore\_exceptions.py", line 14, in map_exceptions
|
||||
raise to_exc(exc) from exc
|
||||
httpcore.ConnectError: [Errno 11001] getaddrinfo failed
|
||||
|
||||
The above exception was the direct cause of the following exception:
|
||||
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\utils\api_client.py", line 74, in get_skill_by_id
|
||||
response = self.client.get(
|
||||
^^^^^^^^^^^^^^^^
|
||||
File "D:\anaconda3\Lib\site-packages\httpx\_client.py", line 1053, in get
|
||||
return self.request(
|
||||
^^^^^^^^^^^^^
|
||||
File "D:\anaconda3\Lib\site-packages\httpx\_client.py", line 825, in request
|
||||
return self.send(request, auth=auth, follow_redirects=follow_redirects)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "D:\anaconda3\Lib\site-packages\httpx\_client.py", line 914, in send
|
||||
response = self._send_handling_auth(
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "D:\anaconda3\Lib\site-packages\httpx\_client.py", line 942, in _send_handling_auth
|
||||
response = self._send_handling_redirects(
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "D:\anaconda3\Lib\site-packages\httpx\_client.py", line 979, in _send_handling_redirects
|
||||
response = self._send_single_request(request)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "D:\anaconda3\Lib\site-packages\httpx\_client.py", line 1014, in _send_single_request
|
||||
response = transport.handle_request(request)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "D:\anaconda3\Lib\site-packages\httpx\_transports\default.py", line 249, in handle_request
|
||||
with map_httpcore_exceptions():
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "D:\anaconda3\Lib\contextlib.py", line 158, in __exit__
|
||||
self.gen.throw(value)
|
||||
File "D:\anaconda3\Lib\site-packages\httpx\_transports\default.py", line 118, in map_httpcore_exceptions
|
||||
raise mapped_exc(message) from exc
|
||||
httpx.ConnectError: [Errno 11001] getaddrinfo failed
|
||||
|
||||
During handling of the above exception, another exception occurred:
|
||||
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 281, in call_third_party_api
|
||||
raw_result = get_skill_by_id(skill_id)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\utils\api_client.py", line 208, in get_skill_by_id
|
||||
return default_client.get_skill_by_id(skill_id)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\utils\api_client.py", line 104, in get_skill_by_id
|
||||
raise Exception(error_msg)
|
||||
Exception: API请求异常: http://lzwcai-demp-corp-manager:8086/datasource/skill/getBySkillId/, 错误: [Errno 11001] getaddrinfo failed
|
||||
2025-12-31 15:00:56 - mcp_services - WARNING - [main.py:131] - API获取失败，降级使用本地配置: API请求异常: http://lzwcai-demp-corp-manager:8086/datasource/skill/getBySkillId/, 错误: [Errno 11001] getaddrinfo failed
|
||||
2025-12-31 15:00:56 - mcp_services - INFO - [main.py:55] - 成功加载 0 个业务查询配置
|
||||
2025-12-31 15:00:56 - mcp_services - INFO - [main.py:165] - 成功生成 0 个 MCP 工具
|
||||
2025-12-31 15:00:56 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
|
||||
2025-12-31 15:00:56 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
|
||||
2025-12-31 15:00:56 - mcp_services - INFO - [main.py:165] - 成功生成 0 个 MCP 工具
|
||||
File diff suppressed because one or more lines are too long
@@ -7,7 +7,7 @@ name = "lzwcai-mcp-sqlexecutor"
|
||||
version = "0.1.6"
|
||||
description = "MCP server for executing business SQL queries with dynamic tool generation"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.13"
|
||||
requires-python = ">=3.10"
|
||||
license = {text = "MIT"}
|
||||
authors = [
|
||||
{name = "lzwcai", email = "your-email@example.com"},
|
||||
@@ -17,7 +17,7 @@ classifiers = [
|
||||
"Development Status :: 3 - Alpha",
|
||||
"Intended Audience :: Developers",
|
||||
"Programming Language :: Python :: 3",
|
||||
"Programming Language :: Python :: 3.13",
|
||||
"Programming Language :: Python :: 3.10",
|
||||
]
|
||||
dependencies = [
|
||||
"httpx>=0.28.1",
|
||||
|
||||
@@ -4,9 +4,9 @@ Runs the MCP server for SQL query execution
|
||||
"""
|
||||
import os
|
||||
|
||||
os.environ["databaseId"] = "12"
|
||||
os.environ["skillId"] = "2013848312313335809"
|
||||
os.environ["backendBaseUrl"] = "http://192.168.11.24:8088"
|
||||
os.environ["databaseId"] = "162"
|
||||
os.environ["skillId"] = "2008360664955854850"
|
||||
os.environ["backendBaseUrl"] = "http://192.168.2.236:8088"
|
||||
if __name__ == "__main__":
|
||||
# Import and run the actual MCP server
|
||||
from lzwcai_mcp_sqlexecutor.main import main
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "lzwcai-mcp-sqlexecutor"
|
||||
version = "0.1.10"
|
||||
version = "0.1.11"
|
||||
description = "MCP server for executing business SQL queries with dynamic tool generation"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@@ -240,3 +240,56 @@
|
||||
2026-01-16 12:39:34 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: MetricTrendAndTurningPointWarning
|
||||
2026-01-16 12:39:34 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
|
||||
2026-01-16 12:39:35 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
|
||||
2026-01-29 13:30:19 - mcp_services - INFO - [main.py:362] - 开始运行 MCP SQL Executor 服务器
|
||||
2026-01-29 13:30:19 - mcp_services - INFO - [main.py:313] - ============================================================
|
||||
2026-01-29 13:30:19 - mcp_services - INFO - [main.py:314] - 正在启动 MCP 服务器: lzwcai-mcpskills-analyzeOrder
|
||||
2026-01-29 13:30:19 - mcp_services - INFO - [main.py:315] - 版本: 0.1.0
|
||||
2026-01-29 13:30:19 - mcp_services - INFO - [main.py:316] - ============================================================
|
||||
2026-01-29 13:30:19 - mcp_services - INFO - [main.py:320] - 环境配置 - Database ID: 57
|
||||
2026-01-29 13:30:19 - mcp_services - INFO - [main.py:321] - 环境配置 - Datasource ID: 57
|
||||
2026-01-29 13:30:19 - mcp_services - INFO - [main.py:322] - 环境配置 - Skill ID:
|
||||
2026-01-29 13:30:19 - mcp_services - INFO - [main.py:323] - 环境配置 - Backend Base URL: http://192.167.30.2:8088
|
||||
2026-01-29 13:30:19 - mcp_services - INFO - [main.py:324] - ============================================================
|
||||
2026-01-29 13:30:19 - mcp_services - INFO - [main.py:329] - MCP 服务器已启动，等待客户端连接...
|
||||
2026-01-29 13:30:21 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
|
||||
2026-01-29 13:30:21 - mcp_services - INFO - [main.py:119] - 初始化查询配置（数据源: local）...
|
||||
2026-01-29 13:30:21 - mcp_services - INFO - [main.py:55] - 成功加载 6 个业务查询配置
|
||||
2026-01-29 13:30:21 - mcp_services - INFO - [main.py:123] - 本地配置: 6 条
|
||||
2026-01-29 13:30:21 - mcp_services - INFO - [main.py:165] - 成功生成 6 个 MCP 工具
|
||||
2026-01-29 13:30:22 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: OrderDelayWarningAnalysis
|
||||
2026-01-29 13:30:22 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
|
||||
2026-01-29 13:30:22 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
|
||||
2026-01-29 13:30:25 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: WorkOrderProgressAndAnomalyNodes
|
||||
2026-01-29 13:30:25 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
|
||||
2026-01-29 13:30:25 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
|
||||
2026-01-29 13:36:26 - mcp_services - INFO - [main.py:362] - 开始运行 MCP SQL Executor 服务器
|
||||
2026-01-29 13:36:26 - mcp_services - INFO - [main.py:313] - ============================================================
|
||||
2026-01-29 13:36:26 - mcp_services - INFO - [main.py:314] - 正在启动 MCP 服务器: lzwcai-mcpskills-analyzeOrder
|
||||
2026-01-29 13:36:26 - mcp_services - INFO - [main.py:315] - 版本: 0.1.0
|
||||
2026-01-29 13:36:26 - mcp_services - INFO - [main.py:316] - ============================================================
|
||||
2026-01-29 13:36:26 - mcp_services - INFO - [main.py:320] - 环境配置 - Database ID: 57
|
||||
2026-01-29 13:36:26 - mcp_services - INFO - [main.py:321] - 环境配置 - Datasource ID: 57
|
||||
2026-01-29 13:36:26 - mcp_services - INFO - [main.py:322] - 环境配置 - Skill ID:
|
||||
2026-01-29 13:36:26 - mcp_services - INFO - [main.py:323] - 环境配置 - Backend Base URL: http://192.167.30.2:8088
|
||||
2026-01-29 13:36:26 - mcp_services - INFO - [main.py:324] - ============================================================
|
||||
2026-01-29 13:36:26 - mcp_services - INFO - [main.py:329] - MCP 服务器已启动，等待客户端连接...
|
||||
2026-01-29 13:36:27 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
|
||||
2026-01-29 13:36:27 - mcp_services - INFO - [main.py:119] - 初始化查询配置（数据源: local）...
|
||||
2026-01-29 13:36:27 - mcp_services - INFO - [main.py:55] - 成功加载 6 个业务查询配置
|
||||
2026-01-29 13:36:27 - mcp_services - INFO - [main.py:123] - 本地配置: 6 条
|
||||
2026-01-29 13:36:27 - mcp_services - INFO - [main.py:165] - 成功生成 6 个 MCP 工具
|
||||
2026-01-29 13:36:28 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: OrderDelayWarningAnalysis
|
||||
2026-01-29 13:36:28 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
|
||||
2026-01-29 13:36:28 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
|
||||
2026-01-29 13:36:30 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: WorkOrderProgressAndAnomalyNodes
|
||||
2026-01-29 13:36:30 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
|
||||
2026-01-29 13:36:30 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
|
||||
2026-01-29 13:36:33 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: SupplyChainRiskWarning
|
||||
2026-01-29 13:36:33 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
|
||||
2026-01-29 13:36:34 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
|
||||
2026-01-29 13:36:38 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: EfficiencyOutputLossDashboard
|
||||
2026-01-29 13:36:38 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
|
||||
2026-01-29 13:36:38 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
|
||||
2026-01-29 13:36:41 - mcp_services - INFO - [main.py:190] - 收到工具调用请求: MetricTrendAndTurningPointWarning
|
||||
2026-01-29 13:36:41 - mcp_services - INFO - [main.py:225] - 正在调用测试SQL API...
|
||||
2026-01-29 13:36:41 - mcp_services - INFO - [main.py:227] - 测试SQL API调用成功
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "lzwcai-mcpskills-mfg-data-agent"
|
||||
version = "0.1.4"
|
||||
version = "0.1.6"
|
||||
description = "制造业数据智能体 - MCP server for manufacturing data intelligence with dynamic tool generation"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "lzwcai-mcpskills-mfg-data-agentv2"
|
||||
version = "0.1.5"
|
||||
version = "0.1.6"
|
||||
description = "制造业数据智能体 - MCP server for manufacturing data intelligence with dynamic tool generation"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
|
||||
Binary file not shown.
Binary file not shown.
@@ -0,0 +1,89 @@
|
||||
2026-01-28 09:58:33 - root - INFO - [logger_config.py:112] - 日志系统初始化完成 - 日志目录: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\logs
|
||||
2026-01-28 09:58:33 - mcp.server.lowlevel.server - DEBUG - [server.py:154] - Initializing server 'mcpskills_template_server'
|
||||
2026-01-28 09:58:33 - mcp.server.lowlevel.server - DEBUG - [server.py:380] - Registering handler for ListToolsRequest
|
||||
2026-01-28 09:58:33 - mcp.server.lowlevel.server - DEBUG - [server.py:441] - Registering handler for CallToolRequest
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:304] - ==================================================
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:305] - MCP Skills Template Server 启动
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:306] - ==================================================
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:311] - 命令行参数: {'mode': 'local', 'json_path': None}
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:314] - 使用模式: local
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:82] - 从本地加载 7 条配置: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\tools_config.json
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:136] - 已加载 7 个工具配置
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:321] - 开始运行 MCP Server (stdio 模式)
|
||||
2026-01-28 09:58:33 - asyncio - DEBUG - [proactor_events.py:634] - Using proactor: IocpProactor
|
||||
2026-01-28 09:58:33 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: root=InitializedNotification(method='notifications/initialized', params=None, jsonrpc='2.0')
|
||||
2026-01-28 09:58:34 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x0000029E6B64BFE0>
|
||||
2026-01-28 09:58:34 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
|
||||
2026-01-28 09:58:34 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type ListToolsRequest
|
||||
2026-01-28 09:58:34 - lzwcai_mcpskills_template.main - INFO - [main.py:142] - 收到 ListTools 请求，当前配置数量: 7
|
||||
2026-01-28 09:58:34 - lzwcai_mcpskills_template.main - INFO - [main.py:161] - ListTools 响应: 返回 7 个工具
|
||||
2026-01-28 09:58:34 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 09:58:36 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x0000029E6B59CFE0>
|
||||
2026-01-28 09:58:36 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 09:58:36 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 09:58:36 - lzwcai_mcpskills_template.main - INFO - [main.py:171] - 收到 CallTool 请求: name=demo_mixed, arguments=None
|
||||
2026-01-28 09:58:36 - lzwcai_mcpskills_template.main - INFO - [main.py:187] - 工具执行成功: demo_mixed
|
||||
2026-01-28 09:58:36 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 09:58:55 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x0000029E6B39D7C0>
|
||||
2026-01-28 09:58:55 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 09:58:55 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 09:58:55 - lzwcai_mcpskills_template.main - INFO - [main.py:171] - 收到 CallTool 请求: name=demo_error, arguments=None
|
||||
2026-01-28 09:58:55 - lzwcai_mcpskills_template.main - ERROR - [main.py:190] - 工具执行失败: 这是一个演示用的模拟错误！执行被中断。
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\main.py", line 186, in handle_call_tool
|
||||
result_contents = execute_tool(name, arguments or {}, tool_config)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\main.py", line 259, in execute_tool
|
||||
raise ValueError("这是一个演示用的模拟错误！执行被中断。")
|
||||
ValueError: 这是一个演示用的模拟错误！执行被中断。
|
||||
2026-01-28 09:58:55 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 09:59:01 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x0000029E6B6164E0>
|
||||
2026-01-28 09:59:01 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 09:59:01 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 09:59:01 - lzwcai_mcpskills_template.main - INFO - [main.py:171] - 收到 CallTool 请求: name=demo_resource, arguments=None
|
||||
2026-01-28 09:59:01 - lzwcai_mcpskills_template.main - INFO - [main.py:187] - 工具执行成功: demo_resource
|
||||
2026-01-28 09:59:01 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 09:59:04 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x0000029E6B64BF80>
|
||||
2026-01-28 09:59:04 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 09:59:04 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 09:59:04 - lzwcai_mcpskills_template.main - INFO - [main.py:171] - 收到 CallTool 请求: name=demo_image, arguments=None
|
||||
2026-01-28 09:59:04 - lzwcai_mcpskills_template.main - INFO - [main.py:187] - 工具执行成功: demo_image
|
||||
2026-01-28 09:59:04 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 09:59:09 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x0000029E6B36DD90>
|
||||
2026-01-28 09:59:09 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 09:59:09 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 09:59:09 - lzwcai_mcpskills_template.main - INFO - [main.py:171] - 收到 CallTool 请求: name=demo_image, arguments=None
|
||||
2026-01-28 09:59:09 - lzwcai_mcpskills_template.main - INFO - [main.py:187] - 工具执行成功: demo_image
|
||||
2026-01-28 09:59:09 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 10:02:13 - root - INFO - [logger_config.py:112] - 日志系统初始化完成 - 日志目录: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\logs
|
||||
2026-01-28 10:02:13 - mcp.server.lowlevel.server - DEBUG - [server.py:154] - Initializing server 'mcpskills_template_server'
|
||||
2026-01-28 10:02:13 - mcp.server.lowlevel.server - DEBUG - [server.py:380] - Registering handler for ListToolsRequest
|
||||
2026-01-28 10:02:13 - mcp.server.lowlevel.server - DEBUG - [server.py:441] - Registering handler for CallToolRequest
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:322] - ==================================================
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:323] - MCP Skills Template Server 启动
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:324] - ==================================================
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:329] - 命令行参数: {'mode': 'local', 'json_path': None}
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:332] - 使用模式: local
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:83] - 从本地加载 8 条配置: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\tools_config.json
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:137] - 已加载 8 个工具配置
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:339] - 开始运行 MCP Server (stdio 模式)
|
||||
2026-01-28 10:02:13 - asyncio - DEBUG - [proactor_events.py:634] - Using proactor: IocpProactor
|
||||
2026-01-28 10:02:13 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: root=InitializedNotification(method='notifications/initialized', params=None, jsonrpc='2.0')
|
||||
2026-01-28 10:02:40 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x000001407A58E3F0>
|
||||
2026-01-28 10:02:40 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
|
||||
2026-01-28 10:02:40 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type ListToolsRequest
|
||||
2026-01-28 10:02:40 - lzwcai_mcpskills_template.main - INFO - [main.py:143] - 收到 ListTools 请求，当前配置数量: 8
|
||||
2026-01-28 10:02:40 - lzwcai_mcpskills_template.main - INFO - [main.py:162] - ListTools 响应: 返回 8 个工具
|
||||
2026-01-28 10:02:40 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 10:02:44 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x000001407A66FAD0>
|
||||
2026-01-28 10:02:44 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 10:02:44 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 10:02:44 - lzwcai_mcpskills_template.main - INFO - [main.py:172] - 收到 CallTool 请求: name=demo_complex, arguments={"user_info": {}}
|
||||
2026-01-28 10:02:44 - lzwcai_mcpskills_template.main - INFO - [main.py:189] - 工具执行成功: demo_complex
|
||||
2026-01-28 10:02:44 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 10:02:50 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x000001407A1DAF00>
|
||||
2026-01-28 10:02:50 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 10:02:50 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 10:02:50 - lzwcai_mcpskills_template.main - INFO - [main.py:172] - 收到 CallTool 请求: name=demo_mixed, arguments=None
|
||||
2026-01-28 10:02:50 - lzwcai_mcpskills_template.main - INFO - [main.py:189] - 工具执行成功: demo_mixed
|
||||
2026-01-28 10:02:50 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
@@ -0,0 +1,89 @@
|
||||
2026-01-28 09:58:33 - root - INFO - [logger_config.py:112] - 日志系统初始化完成 - 日志目录: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\logs
|
||||
2026-01-28 09:58:33 - mcp.server.lowlevel.server - DEBUG - [server.py:154] - Initializing server 'mcpskills_template_server'
|
||||
2026-01-28 09:58:33 - mcp.server.lowlevel.server - DEBUG - [server.py:380] - Registering handler for ListToolsRequest
|
||||
2026-01-28 09:58:33 - mcp.server.lowlevel.server - DEBUG - [server.py:441] - Registering handler for CallToolRequest
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:304] - ==================================================
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:305] - MCP Skills Template Server 启动
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:306] - ==================================================
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:311] - 命令行参数: {'mode': 'local', 'json_path': None}
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:314] - 使用模式: local
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:82] - 从本地加载 7 条配置: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\tools_config.json
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:136] - 已加载 7 个工具配置
|
||||
2026-01-28 09:58:33 - lzwcai_mcpskills_template.main - INFO - [main.py:321] - 开始运行 MCP Server (stdio 模式)
|
||||
2026-01-28 09:58:33 - asyncio - DEBUG - [proactor_events.py:634] - Using proactor: IocpProactor
|
||||
2026-01-28 09:58:33 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: root=InitializedNotification(method='notifications/initialized', params=None, jsonrpc='2.0')
|
||||
2026-01-28 09:58:34 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x0000029E6B64BFE0>
|
||||
2026-01-28 09:58:34 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
|
||||
2026-01-28 09:58:34 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type ListToolsRequest
|
||||
2026-01-28 09:58:34 - lzwcai_mcpskills_template.main - INFO - [main.py:142] - 收到 ListTools 请求，当前配置数量: 7
|
||||
2026-01-28 09:58:34 - lzwcai_mcpskills_template.main - INFO - [main.py:161] - ListTools 响应: 返回 7 个工具
|
||||
2026-01-28 09:58:34 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 09:58:36 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x0000029E6B59CFE0>
|
||||
2026-01-28 09:58:36 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 09:58:36 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 09:58:36 - lzwcai_mcpskills_template.main - INFO - [main.py:171] - 收到 CallTool 请求: name=demo_mixed, arguments=None
|
||||
2026-01-28 09:58:36 - lzwcai_mcpskills_template.main - INFO - [main.py:187] - 工具执行成功: demo_mixed
|
||||
2026-01-28 09:58:36 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 09:58:55 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x0000029E6B39D7C0>
|
||||
2026-01-28 09:58:55 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 09:58:55 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 09:58:55 - lzwcai_mcpskills_template.main - INFO - [main.py:171] - 收到 CallTool 请求: name=demo_error, arguments=None
|
||||
2026-01-28 09:58:55 - lzwcai_mcpskills_template.main - ERROR - [main.py:190] - 工具执行失败: 这是一个演示用的模拟错误！执行被中断。
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\main.py", line 186, in handle_call_tool
|
||||
result_contents = execute_tool(name, arguments or {}, tool_config)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\main.py", line 259, in execute_tool
|
||||
raise ValueError("这是一个演示用的模拟错误！执行被中断。")
|
||||
ValueError: 这是一个演示用的模拟错误！执行被中断。
|
||||
2026-01-28 09:58:55 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 09:59:01 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x0000029E6B6164E0>
|
||||
2026-01-28 09:59:01 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 09:59:01 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 09:59:01 - lzwcai_mcpskills_template.main - INFO - [main.py:171] - 收到 CallTool 请求: name=demo_resource, arguments=None
|
||||
2026-01-28 09:59:01 - lzwcai_mcpskills_template.main - INFO - [main.py:187] - 工具执行成功: demo_resource
|
||||
2026-01-28 09:59:01 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 09:59:04 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x0000029E6B64BF80>
|
||||
2026-01-28 09:59:04 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 09:59:04 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 09:59:04 - lzwcai_mcpskills_template.main - INFO - [main.py:171] - 收到 CallTool 请求: name=demo_image, arguments=None
|
||||
2026-01-28 09:59:04 - lzwcai_mcpskills_template.main - INFO - [main.py:187] - 工具执行成功: demo_image
|
||||
2026-01-28 09:59:04 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 09:59:09 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x0000029E6B36DD90>
|
||||
2026-01-28 09:59:09 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 09:59:09 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 09:59:09 - lzwcai_mcpskills_template.main - INFO - [main.py:171] - 收到 CallTool 请求: name=demo_image, arguments=None
|
||||
2026-01-28 09:59:09 - lzwcai_mcpskills_template.main - INFO - [main.py:187] - 工具执行成功: demo_image
|
||||
2026-01-28 09:59:09 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 10:02:13 - root - INFO - [logger_config.py:112] - 日志系统初始化完成 - 日志目录: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\logs
|
||||
2026-01-28 10:02:13 - mcp.server.lowlevel.server - DEBUG - [server.py:154] - Initializing server 'mcpskills_template_server'
|
||||
2026-01-28 10:02:13 - mcp.server.lowlevel.server - DEBUG - [server.py:380] - Registering handler for ListToolsRequest
|
||||
2026-01-28 10:02:13 - mcp.server.lowlevel.server - DEBUG - [server.py:441] - Registering handler for CallToolRequest
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:322] - ==================================================
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:323] - MCP Skills Template Server 启动
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:324] - ==================================================
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:329] - 命令行参数: {'mode': 'local', 'json_path': None}
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:332] - 使用模式: local
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:83] - 从本地加载 8 条配置: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\tools_config.json
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:137] - 已加载 8 个工具配置
|
||||
2026-01-28 10:02:13 - lzwcai_mcpskills_template.main - INFO - [main.py:339] - 开始运行 MCP Server (stdio 模式)
|
||||
2026-01-28 10:02:13 - asyncio - DEBUG - [proactor_events.py:634] - Using proactor: IocpProactor
|
||||
2026-01-28 10:02:13 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: root=InitializedNotification(method='notifications/initialized', params=None, jsonrpc='2.0')
|
||||
2026-01-28 10:02:40 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x000001407A58E3F0>
|
||||
2026-01-28 10:02:40 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
|
||||
2026-01-28 10:02:40 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type ListToolsRequest
|
||||
2026-01-28 10:02:40 - lzwcai_mcpskills_template.main - INFO - [main.py:143] - 收到 ListTools 请求，当前配置数量: 8
|
||||
2026-01-28 10:02:40 - lzwcai_mcpskills_template.main - INFO - [main.py:162] - ListTools 响应: 返回 8 个工具
|
||||
2026-01-28 10:02:40 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 10:02:44 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x000001407A66FAD0>
|
||||
2026-01-28 10:02:44 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 10:02:44 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 10:02:44 - lzwcai_mcpskills_template.main - INFO - [main.py:172] - 收到 CallTool 请求: name=demo_complex, arguments={"user_info": {}}
|
||||
2026-01-28 10:02:44 - lzwcai_mcpskills_template.main - INFO - [main.py:189] - 工具执行成功: demo_complex
|
||||
2026-01-28 10:02:44 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
2026-01-28 10:02:50 - mcp.server.lowlevel.server - DEBUG - [server.py:582] - Received message: <mcp.shared.session.RequestResponder object at 0x000001407A1DAF00>
|
||||
2026-01-28 10:02:50 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type CallToolRequest
|
||||
2026-01-28 10:02:50 - mcp.server.lowlevel.server - DEBUG - [server.py:621] - Dispatching request of type CallToolRequest
|
||||
2026-01-28 10:02:50 - lzwcai_mcpskills_template.main - INFO - [main.py:172] - 收到 CallTool 请求: name=demo_mixed, arguments=None
|
||||
2026-01-28 10:02:50 - lzwcai_mcpskills_template.main - INFO - [main.py:189] - 工具执行成功: demo_mixed
|
||||
2026-01-28 10:02:50 - mcp.server.lowlevel.server - DEBUG - [server.py:662] - Response sent
|
||||
@@ -0,0 +1,8 @@
|
||||
2026-01-28 09:58:55 - lzwcai_mcpskills_template.main - ERROR - [main.py:190] - 工具执行失败: 这是一个演示用的模拟错误！执行被中断。
|
||||
Traceback (most recent call last):
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\main.py", line 186, in handle_call_tool
|
||||
result_contents = execute_tool(name, arguments or {}, tool_config)
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcpskills_template\lzwcai_mcpskills_template\main.py", line 259, in execute_tool
|
||||
raise ValueError("这是一个演示用的模拟错误！执行被中断。")
|
||||
ValueError: 这是一个演示用的模拟错误！执行被中断。
|
||||
@@ -12,6 +12,7 @@ import os
|
||||
import logging
|
||||
import argparse
|
||||
import anyio
|
||||
import asyncio
|
||||
|
||||
import mcp.types as types
|
||||
from mcp.server import NotificationOptions, Server
|
||||
@@ -182,32 +183,27 @@ async def handle_call_tool(
|
||||
raise ValueError(f"未知工具: {name}")
|
||||
|
||||
# TODO: 在这里实现你的工具逻辑
|
||||
# 示例：简单返回参数
|
||||
try:
|
||||
result = execute_tool(name, arguments or {}, tool_config)
|
||||
# execute_tool 现在是 async 的
|
||||
result_contents = await execute_tool(name, arguments or {}, tool_config)
|
||||
logger.info(f"工具执行成功: {name}")
|
||||
return result_contents
|
||||
except Exception as e:
|
||||
logger.error(f"工具执行失败: {e}", exc_info=True)
|
||||
result = {"error": str(e), "tool_name": name}
|
||||
|
||||
return [
|
||||
types.TextContent(
|
||||
type="text",
|
||||
text=json.dumps(result, ensure_ascii=False, indent=2)
|
||||
)
|
||||
]
|
||||
# 重新抛出异常，以便 MCP SDK 能够捕获并将其格式化为错误响应
|
||||
raise e
|
||||
|
||||
|
||||
def execute_tool(name: str, arguments: dict, config: dict) -> dict:
|
||||
async def execute_tool(name: str, arguments: dict, config: dict) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]:
|
||||
"""
|
||||
执行工具逻辑
|
||||
|
||||
TODO: 根据实际需求修改此函数
|
||||
执行工具逻辑并返回 MCP 内容列表 (Async)
|
||||
"""
|
||||
# 示例实现
|
||||
# 1. 示例：Hello World (返回纯文本)
|
||||
if name == "example_hello_world":
|
||||
return {"message": f"Hello, {arguments.get('name', 'World')}!"}
|
||||
msg = f"Hello, {arguments.get('name', 'World')}!"
|
||||
return [types.TextContent(type="text", text=msg)]
|
||||
|
||||
# 2. 示例：计算器 (返回 JSON 格式的文本)
|
||||
elif name == "example_calculator":
|
||||
a = float(arguments.get("a", 0))
|
||||
b = float(arguments.get("b", 0))
|
||||
@@ -224,14 +220,82 @@ def execute_tool(name: str, arguments: dict, config: dict) -> dict:
|
||||
else:
|
||||
result = "未知运算符"
|
||||
|
||||
return {"result": result, "expression": f"{a} {op} {b}"}
|
||||
output = {"result": result, "expression": f"{a} {op} {b}"}
|
||||
return [types.TextContent(type="text", text=json.dumps(output, ensure_ascii=False))]
|
||||
|
||||
# 3. 演示：纯文本
|
||||
elif name == "demo_text":
|
||||
return [types.TextContent(type="text", text="这是一个标准的纯文本输出示例。")]
|
||||
|
||||
# 4. 演示：图片输出
|
||||
elif name == "demo_image":
|
||||
# 这是一个 1x1 的红色像素点的 Base64
|
||||
red_dot_base64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8BQDwAEhQGAhKmMIQAAAABJRU5ErkJggg=="
|
||||
return [
|
||||
types.ImageContent(
|
||||
type="image",
|
||||
data=red_dot_base64,
|
||||
mimeType="image/png"
|
||||
)
|
||||
]
|
||||
|
||||
# 5. 演示：资源输出
|
||||
elif name == "demo_resource":
|
||||
# 模拟返回一个嵌入式资源
|
||||
return [
|
||||
types.EmbeddedResource(
|
||||
type="resource",
|
||||
resource=types.TextResourceContents(
|
||||
uri="file:///logs/app.log",
|
||||
text="[INFO] System started\n[WARN] Low memory",
|
||||
mimeType="text/plain"
|
||||
)
|
||||
)
|
||||
]
|
||||
|
||||
# 6. 演示：错误状态 (带 observation)
|
||||
elif name == "demo_error":
|
||||
# 尝试模拟用户要求的带 observation 的错误结构
|
||||
# 注意：标准 MCP 协议中 TextContent 可能不支持 observation 字段
|
||||
# 这里演示如何抛出异常，这是最标准的错误反馈方式
|
||||
raise ValueError("执行失败: 网络超时，请检查连接")
|
||||
|
||||
# 如果客户端支持非标准字段，可以尝试返回如下结构（需 SDK 支持）：
|
||||
# return [
|
||||
# types.TextContent(type="text", text="执行失败") # 无法直接添加 observation
|
||||
# ]
|
||||
|
||||
# 7. 演示：混合输出 (文本 + 图片)
|
||||
elif name == "demo_mixed":
|
||||
red_dot_base64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8z8BQDwAEhQGAhKmMIQAAAABJRU5ErkJggg=="
|
||||
return [
|
||||
types.TextContent(type="text", text="下面是一张图片："),
|
||||
types.ImageContent(
|
||||
type="image",
|
||||
data=red_dot_base64,
|
||||
mimeType="image/png"
|
||||
),
|
||||
types.TextContent(type="text", text="图片展示完毕。")
|
||||
]
|
||||
|
||||
# 8. 演示：复杂参数
|
||||
elif name == "demo_complex":
|
||||
user_info = arguments.get("user_info", {})
|
||||
tags = arguments.get("tags", [])
|
||||
|
||||
# 模拟异步处理
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
result_text = f"接收到复杂参数:\n用户: {json.dumps(user_info, ensure_ascii=False)}\n标签: {tags}"
|
||||
return [types.TextContent(type="text", text=result_text)]
|
||||
|
||||
# 默认返回参数
|
||||
return {
|
||||
default_result = {
|
||||
"tool_name": name,
|
||||
"arguments": arguments,
|
||||
"message": "工具执行成功（默认实现）"
|
||||
}
|
||||
return [types.TextContent(type="text", text=json.dumps(default_result, ensure_ascii=False, indent=2))]
|
||||
|
||||
|
||||
async def run_server():
|
||||
|
||||
@@ -61,6 +61,23 @@ def convert_param_to_schema_property(param: dict) -> tuple[str, dict, bool]:
|
||||
|
||||
elif param_type == "number":
|
||||
property_schema["type"] = "number"
|
||||
|
||||
elif param_type == "boolean":
|
||||
property_schema["type"] = "boolean"
|
||||
# Boolean default handling
|
||||
if default_value is not None and str(default_value).lower() in ("true", "false", "1", "0"):
|
||||
property_schema["default"] = str(default_value).lower() in ("true", "1")
|
||||
|
||||
elif param_type == "array":
|
||||
property_schema["type"] = "array"
|
||||
# Simple array of strings by default if no item type specified
|
||||
# For more complex arrays, we might need extended config in sqlParams
|
||||
property_schema["items"] = {"type": "string"}
|
||||
|
||||
elif param_type == "object":
|
||||
property_schema["type"] = "object"
|
||||
# Allow any object structure by default
|
||||
property_schema["additionalProperties"] = True
|
||||
|
||||
else:
|
||||
# 默认当作 string 处理
|
||||
|
||||
@@ -12,5 +12,47 @@
|
||||
"description": "示例工具 - 简单计算器",
|
||||
"toolPrompt": "执行简单的数学计算",
|
||||
"sqlParams": "[{\"type\":\"number\",\"name\":\"a\",\"displayName\":\"数字A\",\"required\":true},{\"type\":\"number\",\"name\":\"b\",\"displayName\":\"数字B\",\"required\":true},{\"type\":\"select\",\"name\":\"operation\",\"displayName\":\"运算符\",\"required\":true,\"options\":[\"+\",\"-\",\"*\",\"/\"]}]"
|
||||
},
|
||||
{
|
||||
"id": "demo_001",
|
||||
"name": "demo_text",
|
||||
"description": "演示纯文本输出",
|
||||
"toolPrompt": "返回一段简单的文本信息",
|
||||
"sqlParams": "[]"
|
||||
},
|
||||
{
|
||||
"id": "demo_002",
|
||||
"name": "demo_image",
|
||||
"description": "演示图片输出",
|
||||
"toolPrompt": "返回一张 Base64 编码的图片",
|
||||
"sqlParams": "[]"
|
||||
},
|
||||
{
|
||||
"id": "demo_003",
|
||||
"name": "demo_resource",
|
||||
"description": "演示资源输出",
|
||||
"toolPrompt": "返回一个嵌入式资源",
|
||||
"sqlParams": "[]"
|
||||
},
|
||||
{
|
||||
"id": "demo_004",
|
||||
"name": "demo_error",
|
||||
"description": "演示错误状态",
|
||||
"toolPrompt": "触发一个执行错误",
|
||||
"sqlParams": "[]"
|
||||
},
|
||||
{
|
||||
"id": "demo_005",
|
||||
"name": "demo_mixed",
|
||||
"description": "演示混合输出",
|
||||
"toolPrompt": "同时返回文本和图片",
|
||||
"sqlParams": "[]"
|
||||
},
|
||||
{
|
||||
"id": "demo_006",
|
||||
"name": "demo_complex",
|
||||
"description": "演示复杂参数输入",
|
||||
"toolPrompt": "接受对象和数组类型的参数",
|
||||
"sqlParams": "[{\"type\":\"object\",\"name\":\"user_info\",\"displayName\":\"用户信息\",\"required\":true},{\"type\":\"array\",\"name\":\"tags\",\"displayName\":\"标签列表\",\"required\":false}]"
|
||||
}
|
||||
]
|
||||
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "lzwcai_mcpskills_template"
|
||||
version = "0.1.0"
|
||||
version = "0.1.1"
|
||||
description = "MCP Server 模板项目 - 用于快速创建新的 MCP 服务"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10"
|
||||
|
||||
@@ -19,12 +19,12 @@ from mcp.server.models import InitializationOptions
|
||||
from mcp.server.stdio import stdio_server
|
||||
|
||||
try:
|
||||
from .schema_converter import convert_sql_params_to_input_schema
|
||||
from .schema_converter import convert_sql_params_to_input_schema, sanitize_json_schema
|
||||
from .utils.api_client import execute_workflow, get_workflow_by_id, extract_final_output
|
||||
from .utils.env_config import get_workflow_id
|
||||
from .utils.logger_config import setup_system_logging, get_logger
|
||||
except ImportError:
|
||||
from schema_converter import convert_sql_params_to_input_schema
|
||||
from schema_converter import convert_sql_params_to_input_schema, sanitize_json_schema
|
||||
from utils.api_client import execute_workflow, get_workflow_by_id, extract_final_output
|
||||
from utils.env_config import get_workflow_id
|
||||
from utils.logger_config import setup_system_logging, get_logger
|
||||
@@ -174,13 +174,30 @@ async def handle_list_tools() -> list[types.Tool]:
|
||||
for query in _tools_config:
|
||||
name = query.get("name", "")
|
||||
description = query.get("description") or query.get("toolPrompt") or query.get("uniqueName", "")
|
||||
sql_params = query.get("sqlParams", "[]")
|
||||
|
||||
logger.debug(f"处理工具配置: name={name}, description={description[:50] if description else 'None'}...")
|
||||
|
||||
# 转换参数为 inputSchema
|
||||
input_schema = convert_sql_params_to_input_schema(sql_params)
|
||||
logger.debug(f"工具 {name} 的 inputSchema: {json.dumps(input_schema, ensure_ascii=False)}")
|
||||
# 优先使用 inputJsonSchema，如果不存在则从 sqlParams 转换
|
||||
input_json_schema = query.get("inputJsonSchema")
|
||||
if input_json_schema:
|
||||
try:
|
||||
# inputJsonSchema 是 JSON 字符串，需要解析
|
||||
if isinstance(input_json_schema, str):
|
||||
input_schema = json.loads(input_json_schema)
|
||||
else:
|
||||
input_schema = input_json_schema
|
||||
# 清理 schema，确保 enum 只包含字符串
|
||||
input_schema = sanitize_json_schema(input_schema)
|
||||
logger.debug(f"使用 inputJsonSchema (已清理): {json.dumps(input_schema, ensure_ascii=False)}")
|
||||
except (json.JSONDecodeError, TypeError) as e:
|
||||
logger.warning(f"解析 inputJsonSchema 失败: {e}，回退到 sqlParams")
|
||||
sql_params = query.get("sqlParams", "[]")
|
||||
input_schema = convert_sql_params_to_input_schema(sql_params)
|
||||
else:
|
||||
# 从 sqlParams 转换
|
||||
sql_params = query.get("sqlParams", "[]")
|
||||
input_schema = convert_sql_params_to_input_schema(sql_params)
|
||||
logger.debug(f"从 sqlParams 转换的 inputSchema: {json.dumps(input_schema, ensure_ascii=False)}")
|
||||
|
||||
tools.append(
|
||||
types.Tool(
|
||||
|
||||
@@ -12,6 +12,41 @@ import json
|
||||
from typing import Any
|
||||
|
||||
|
||||
def sanitize_json_schema(schema: dict) -> dict:
|
||||
"""
|
||||
清理 JSON Schema，确保 enum 字段只包含字符串值
|
||||
|
||||
Args:
|
||||
schema: 原始 JSON Schema
|
||||
|
||||
Returns:
|
||||
dict: 清理后的 JSON Schema
|
||||
"""
|
||||
if not isinstance(schema, dict):
|
||||
return schema
|
||||
|
||||
# 递归处理 properties
|
||||
if "properties" in schema and isinstance(schema["properties"], dict):
|
||||
for prop_name, prop_schema in schema["properties"].items():
|
||||
if isinstance(prop_schema, dict) and "enum" in prop_schema:
|
||||
enum_values = prop_schema["enum"]
|
||||
if isinstance(enum_values, list) and len(enum_values) > 0:
|
||||
# 检查是否是对象数组
|
||||
if isinstance(enum_values[0], dict):
|
||||
# 提取 value 字段
|
||||
cleaned_enum = [
|
||||
item.get("value", item.get("label", ""))
|
||||
for item in enum_values
|
||||
if isinstance(item, dict)
|
||||
]
|
||||
# 过滤空值
|
||||
prop_schema["enum"] = [v for v in cleaned_enum if v]
|
||||
# 保留原始数据
|
||||
prop_schema["x-options"] = enum_values
|
||||
|
||||
return schema
|
||||
|
||||
|
||||
def convert_param_to_schema_property(param: dict) -> tuple[str, dict, bool]:
|
||||
"""
|
||||
将单个参数转换为 JSON Schema property
|
||||
@@ -57,7 +92,22 @@ def convert_param_to_schema_property(param: dict) -> tuple[str, dict, bool]:
|
||||
elif param_type == "select":
|
||||
property_schema["type"] = "string"
|
||||
if options:
|
||||
property_schema["enum"] = options
|
||||
# 处理 options 可能是对象数组 [{label, value}] 或字符串数组的情况
|
||||
if isinstance(options, list) and len(options) > 0:
|
||||
if isinstance(options[0], dict):
|
||||
# 对象数组，提取 value 字段作为 enum，过滤空值
|
||||
enum_values = [
|
||||
opt.get("value", opt.get("label", ""))
|
||||
for opt in options
|
||||
if isinstance(opt, dict)
|
||||
]
|
||||
# 过滤掉空字符串
|
||||
property_schema["enum"] = [v for v in enum_values if v]
|
||||
# 保留原始 options 供前端使用（如果前端支持）
|
||||
property_schema["x-options"] = options
|
||||
else:
|
||||
# 字符串数组，直接使用，过滤空值
|
||||
property_schema["enum"] = [v for v in options if v]
|
||||
|
||||
elif param_type == "number":
|
||||
property_schema["type"] = "number"
|
||||
|
||||
@@ -7,8 +7,8 @@ import os
|
||||
|
||||
if __name__ == "__main__":
|
||||
# 设置环境变量
|
||||
os.environ["workflowId"] = "2005892514011795457"
|
||||
os.environ["workflowExecuteKey"] = "wf_ce270212b2ee45ab9c81714a7c243c56"
|
||||
os.environ["workflowId"] = "2019984063311556609"
|
||||
os.environ["workflowExecuteKey"] = "wf_45bd630402664485a2ef5cd3ede5aa53"
|
||||
os.environ["backendBaseUrl"] = "http://192.168.2.236:8088"
|
||||
|
||||
# Import and run the actual MCP server
|
||||
|
||||
Reference in New Issue
Block a user