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        ],
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        "crontab": "",
        "once": false,
        "onceDelay": 0.1,
        "topic": "",
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        "type": "change",
        "z": "0ac020c7380665e7",
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        "rules": [
            {
                "t": "set",
                "p": "payload",
                "pt": "msg",
                "to": "{\"version\":\"1.0.0\",\"data\":[\"testid2\"]}",
                "tot": "json"
            },
            {
                "t": "set",
                "p": "headers",
                "pt": "msg",
                "to": "{\"Content-Type\":\"application/json\",\"Authorization\":\"1\",\"Dataregion\":\"ZZLH\"}",
                "tot": "json"
            },
            {
                "t": "set",
                "p": "rejectUnauthorized",
                "pt": "msg",
                "to": "false",
                "tot": "str"
            },
            {
                "t": "set",
                "p": "url",
                "pt": "msg",
                "to": "https://www.dev.ideas.cnpc/api/dms/well_kd_wellbore_ideas01/v1/cd_well",
                "tot": "str"
            }
        ],
        "action": "",
        "property": "",
        "from": "",
        "to": "",
        "reg": false,
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        "y": 620,
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        "name": "debug 7",
        "active": true,
        "tosidebar": true,
        "console": true,
        "tostatus": false,
        "complete": "\"删除成功\"",
        "targetType": "jsonata",
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        "z": "0ac020c7380665e7",
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        "propertyType": "msg",
        "rules": [
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                "t": "eq",
                "v": "true",
                "vt": "jsonata"
            },
            {
                "t": "eq",
                "v": "false",
                "vt": "jsonata"
            }
        ],
        "checkall": "true",
        "repair": false,
        "outputs": 2,
        "x": 2110,
        "y": 700,
        "wires": [
            [
                "6585c529e8732137",
                "cfbf5ff4275a974e"
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        "type": "debug",
        "z": "0ac020c7380665e7",
        "name": "debug 8",
        "active": true,
        "tosidebar": true,
        "console": true,
        "tostatus": false,
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        "targetType": "jsonata",
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        "outputs": 1,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],
        "x": 1920,
        "y": 700,
        "wires": [
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        "type": "debug",
        "z": "0ac020c7380665e7",
        "name": "debug 9",
        "active": false,
        "tosidebar": true,
        "console": false,
        "tostatus": false,
        "complete": "msg",
        "targetType": "jsonata",
        "statusVal": "",
        "statusType": "auto",
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        "outputs": 1,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],
        "x": 100,
        "y": 580,
        "wires": [
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    {
        "id": "ea8a01974cede86a",
        "type": "http in",
        "z": "0ac020c7380665e7",
        "name": "",
        "url": "/test",
        "method": "get",
        "upload": false,
        "skipBodyParsing": false,
        "swaggerDoc": "",
        "x": 80,
        "y": 660,
        "wires": [
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    {
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        "z": "0ac020c7380665e7",
        "name": "",
        "statusCode": "",
        "headers": {},
        "x": 2370,
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        "name": "function 5",
        "func": "msg.payload = { \"code\": 0, \"message\": \"井创建删除流程测试成功\",}\nreturn msg;",
        "outputs": 1,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],
        "x": 2260,
        "y": 640,
        "wires": [
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        "type": "inject",
        "z": "0ac020c7380665e7",
        "name": "查询列表",
        "props": [
            {
                "p": "headers",
                "v": "{\"Content-Type\":\"application/json\",\"Dataregion\":\"ZZLH\"}",
                "vt": "json"
            },
            {
                "p": "rejectUnauthorized",
                "v": "false",
                "vt": "str"
            },
            {
                "p": "url",
                "v": "https://www.dev.ideas.cnpc/api/dms/well_kd_wellbore_ideas01/v1/cd_well/1.0.0",
                "vt": "str"
            },
            {
                "p": "payload"
            }
        ],
        "repeat": "",
        "crontab": "",
        "once": false,
        "onceDelay": 0.1,
        "topic": "",
        "payload": "{}",
        "payloadType": "json",
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        "type": "debug",
        "z": "0ac020c7380665e7",
        "name": "查询",
        "active": true,
        "tosidebar": true,
        "console": false,
        "tostatus": false,
        "complete": "payload",
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        "statusVal": "",
        "statusType": "auto",
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        "wires": []
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    {
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        "type": "http request",
        "z": "0ac020c7380665e7",
        "name": "查询井列表",
        "method": "POST",
        "ret": "txt",
        "paytoqs": "ignore",
        "url": "",
        "tls": "",
        "persist": true,
        "proxy": "",
        "insecureHTTPParser": false,
        "authType": "",
        "senderr": false,
        "headers": [],
        "x": 450,
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        "wires": [
            [
                "c69cfc2d862f1fe4"
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    },
    {
        "id": "d50ee4d6f62682dd",
        "type": "inject",
        "z": "0ac020c7380665e7",
        "name": "创建",
        "props": [
            {
                "p": "payload"
            },
            {
                "p": "headers",
                "v": "{\"Content-Type\":\"application/json\",\"Dataregion\":\"ZZLH\"}",
                "vt": "json"
            },
            {
                "p": "rejectUnauthorized",
                "v": "false",
                "vt": "str"
            }
        ],
        "repeat": "",
        "crontab": "",
        "once": false,
        "onceDelay": 0.1,
        "topic": "",
        "payload": "{\"version\":\"1.0.0\",\"act\":-1,\"data\":[{\"dsid\":\"testid2\",\"wellId\":\"WELL-zzlhTEST-002\",\"wellCommonName\":\"zzlh测试用井名\",\"wellLegalName\":\"zzlh-test-01\",\"wellPurpose\":\"开发井\",\"wellType\":\"直井\",\"dataRegion\":\"ZZLH\",\"projectId\":\"PROJ-ZZLH-001\",\"projectName\":\"zzlh测试地质单元\",\"orgId\":\"ORG-ZZLH-01\",\"orgName\":\"zzlh采油厂\",\"bsflag\":1,\"wellState\":\"生产中\",\"spudDate\":\"2024-01-15\",\"completionDate\":\"2024-05-20\",\"prodDate\":\"2024-06-01\",\"egl\":145.5,\"kbd\":5.2,\"kb\":150.7,\"actualXAxis\":550123.45,\"actualYAxis\":4998765.32,\"coordinateSystemName\":\"zzlh测试坐标系\",\"geoDescription\":\"位于zzlh测试区域\",\"remarks\":\"这是一口用于系统测试的生产井。\",\"createUserId\":\"testuser001\",\"createDate\":\"2025-09-12T10:00:00Z\",\"updateUserId\":\"testuser001\",\"updateDate\":\"2025-09-12T10:00:00Z\"}]}",
        "payloadType": "json",
        "x": 850,
        "y": 160,
        "wires": [
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            ]
        ]
    },
    {
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        "type": "http request",
        "z": "0ac020c7380665e7",
        "name": "创建井",
        "method": "POST",
        "ret": "txt",
        "paytoqs": "ignore",
        "url": "https://www.dev.ideas.cnpc/api/dms/well_kd_wellbore_ideas01/v1/cd_well",
        "tls": "",
        "persist": true,
        "proxy": "",
        "insecureHTTPParser": false,
        "authType": "",
        "senderr": false,
        "headers": [],
        "x": 990,
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        "type": "debug",
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        "name": "创建结果",
        "active": true,
        "tosidebar": true,
        "console": false,
        "tostatus": false,
        "complete": "payload",
        "targetType": "msg",
        "statusVal": "",
        "statusType": "auto",
        "x": 1080,
        "y": 220,
        "wires": []
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        "type": "http in",
        "z": "78d15f59dee4b6d8",
        "name": "单接口测试",
        "url": "/single_test",
        "method": "post",
        "upload": false,
        "skipBodyParsing": false,
        "swaggerDoc": "",
        "x": 120,
        "y": 140,
        "wires": [
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    {
        "id": "d666851b16cf6482",
        "type": "http response",
        "z": "78d15f59dee4b6d8",
        "name": "",
        "statusCode": "msg.testcase.results",
        "headers": {},
        "x": 700,
        "y": 260,
        "wires": []
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    {
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        "type": "function",
        "z": "78d15f59dee4b6d8",
        "name": "dms转化为oas",
        "func": "'use strict';\n\nconst DEFAULT_OPENAPI_VERSION = '3.0.1';\nconst DEFAULT_API_VERSION = '1.0.0';\n\nlet schema;\ntry {\n    // 优先使用 HTTP In 提供的 req.body.schema，缺省时回退到 msg.payload。\n    const schemaInput = extractSchemaInput(msg);\n    schema = parseSchema(schemaInput);\n} catch (error) {\n    node.error(`DMS -> Swagger 解析失败：${error.message}`, msg);\n    msg.error = error.message;\n    return msg;\n}\n\nconst resourceTitle = typeof schema.title === 'string' && schema.title.trim()\n    ? schema.title.trim()\n    : 'DMS Resource';\n\nconst resourceName = pascalCase(resourceTitle);\nconst collectionName = pluralize(kebabCase(resourceTitle));\nconst identityField = Array.isArray(schema.identityId) && schema.identityId.length > 0\n    ? String(schema.identityId[0])\n    : 'id';\n\nconst schemaComponent = buildComponentSchema(resourceName, schema);\nconst identitySchema = schemaComponent.properties && schemaComponent.properties[identityField]\n    ? clone(schemaComponent.properties[identityField])\n    : { type: 'string' };\n\nconst openApiDocument = {\n    openapi: DEFAULT_OPENAPI_VERSION,\n    info: {\n        title: `${resourceTitle} API`,\n        version: DEFAULT_API_VERSION,\n        description: schema.description || `${schema.$id || ''}`.trim(),\n        'x-dms-sourceId': schema.$id || undefined,\n    },\n    paths: buildCrudPaths({\n        collectionName,\n        resourceName,\n        identityField,\n        identitySchema,\n    }),\n    components: {\n        schemas: {\n            [resourceName]: schemaComponent,\n        },\n    },\n};\n\nmsg.oas_def = openApiDocument;\nmsg.payload = openApiDocument;\nreturn msg;\n\nfunction extractSchemaInput(message) {\n    if (message && message.req && message.req.body && typeof message.req.body === 'object') {\n        if (message.req.body.schema !== undefined) {\n            return message.req.body.schema;\n        }\n    }\n\n    if (message && message.payload !== undefined) {\n        return message.payload;\n    }\n\n    throw new Error('未找到schema，请在请求体的schema字段或msg.payload中提供');\n}\n\nfunction parseSchema(source) {\n    if (typeof source === 'string') {\n        try {\n            return JSON.parse(source);\n        } catch (error) {\n            throw new Error(`JSON 解析失败：${error.message}`);\n        }\n    }\n\n    if (!source || typeof source !== 'object') {\n        throw new Error('schema 必须是 DMS 定义对象或 JSON 字符串');\n    }\n\n    return source;\n}\n\nfunction buildComponentSchema(resourceName, dmsSchema) {\n    const { properties = {}, required = [], groupView, identityId, naturalKey, defaultShow } = dmsSchema;\n    const openApiProps = {};\n\n    for (const [propName, propSchema] of Object.entries(properties)) {\n        openApiProps[propName] = mapProperty(propSchema);\n    }\n\n    return {\n        type: 'object',\n        required: Array.isArray(required) ? required.slice() : [],\n        properties: openApiProps,\n        description: dmsSchema.description || dmsSchema.title || resourceName,\n        'x-dms-groupView': groupView || undefined,\n        'x-dms-identityId': identityId || undefined,\n        'x-dms-naturalKey': naturalKey || undefined,\n        'x-dms-defaultShow': defaultShow || undefined,\n    };\n}\n\nfunction mapProperty(propSchema) {\n    if (!propSchema || typeof propSchema !== 'object') {\n        return { type: 'string' };\n    }\n\n    const result = {};\n\n    const type = normalizeType(propSchema.type);\n    result.type = type.type;\n    if (type.format) {\n        result.format = type.format;\n    }\n    if (type.items) {\n        result.items = type.items;\n    }\n\n    if (propSchema.description) {\n        result.description = propSchema.description;\n    } else if (propSchema.title) {\n        result.description = propSchema.title;\n    }\n\n    if (propSchema.enum) {\n        result.enum = propSchema.enum.slice();\n    }\n\n    if (propSchema.default !== undefined) {\n        result.default = propSchema.default;\n    }\n\n    if (propSchema.mask) {\n        result['x-dms-mask'] = propSchema.mask;\n    }\n    if (propSchema.geom) {\n        result['x-dms-geom'] = propSchema.geom;\n    }\n    if (propSchema.title) {\n        result['x-dms-title'] = propSchema.title;\n    }\n    if (propSchema.type) {\n        result['x-dms-originalType'] = propSchema.type;\n    }\n\n    return result;\n}\n\nfunction normalizeType(typeValue) {\n    const normalized = typeof typeValue === 'string' ? typeValue.toLowerCase() : undefined;\n\n    switch (normalized) {\n        case 'number':\n        case 'integer':\n        case 'long':\n        case 'float':\n        case 'double':\n            return { type: 'number' };\n        case 'boolean':\n            return { type: 'boolean' };\n        case 'array':\n            return { type: 'array', items: { type: 'string' } };\n        case 'date':\n            return { type: 'string', format: 'date' };\n        case 'date-time':\n            return { type: 'string', format: 'date-time' };\n        case 'object':\n            return { type: 'object' };\n        case 'string':\n        default:\n            return { type: 'string' };\n    }\n}\n\nfunction buildCrudPaths({ collectionName, resourceName, identityField, identitySchema }) {\n    const ref = `#/components/schemas/${resourceName}`;\n    const collectionPath = `/${collectionName}`;\n    const itemPath = `/${collectionName}/{${identityField}}`;\n\n    return {\n        [collectionPath]: {\n            get: {\n                operationId: `list${resourceName}s`,\n                summary: `List ${resourceName} resources`,\n                responses: {\n                    200: {\n                        description: 'Successful response',\n                        content: {\n                            'application/json': {\n                                schema: {\n                                    type: 'array',\n                                    items: { $ref: ref },\n                                },\n                            },\n                        },\n                    },\n                },\n            },\n            \n            post: {\n              operationId: `create${resourceName}`,\n              summary: `Create a ${resourceName}`,\n              requestBody: {\n                required: true,\n                content: {\n                  'application/json': {\n                    schema: { $ref: ref },\n                  },\n                },\n              },\n              responses: {\n                201: {\n                  description: 'Created',\n                  content: {\n                    'application/json': {\n                      schema: { $ref: ref },\n                    },\n                  },\n                },\n              },\n            },\n            \n        },\n        [itemPath]: {\n            parameters: [\n                {\n                    name: identityField,\n                    in: 'path',\n                    required: true,\n                    schema: identitySchema,\n                },\n            ],\n            get: {\n                operationId: `get${resourceName}`,\n                summary: `Get a single ${resourceName}`,\n                responses: {\n                    200: {\n                        description: 'Successful response',\n                        content: {\n                            'application/json': {\n                                schema: { $ref: ref },\n                            },\n                        },\n                    },\n                    404: { description: `${resourceName} not found` },\n                },\n            },\n            \n            put: {\n              operationId: `update${resourceName}`,\n              summary: `Update a ${resourceName}`,\n              requestBody: {\n                required: true,\n                content: {\n                  'application/json': {\n                    schema: { $ref: ref },\n                  },\n                },\n              },\n              responses: {\n                200: {\n                  description: 'Successful update',\n                  content: {\n                    'application/json': {\n                      schema: { $ref: ref },\n                    },\n                  },\n                },\n              },\n            },\n            delete: {\n              operationId: `delete${resourceName}`,\n              summary: `Delete a ${resourceName}`,\n              responses: {\n                204: { description: 'Deleted' },\n              },\n            },\n            \n        },\n    };\n}\n\nfunction pascalCase(input) {\n    return input\n        .replace(/[^a-zA-Z0-9]+/g, ' ')\n        .split(' ')\n        .filter(Boolean)\n        .map(part => part.charAt(0).toUpperCase() + part.slice(1).toLowerCase())\n        .join('') || 'Resource';\n}\n\nfunction kebabCase(input) {\n    return input\n        .replace(/([a-z])([A-Z])/g, '$1-$2')\n        .replace(/[^a-zA-Z0-9]+/g, '-')\n        .replace(/^-+|-+$/g, '')\n        .toLowerCase() || 'resource';\n}\n\nfunction pluralize(word) {\n    if (word.endsWith('s')) {\n        return word;\n    }\n    if (word.endsWith('y')) {\n        return word.slice(0, -1) + 'ies';\n    }\n    return `${word}s`;\n}\n\nfunction clone(value) {\n    return JSON.parse(JSON.stringify(value));\n}\n",
        "outputs": 1,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],
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        "wires": [
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        "type": "inject",
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        "name": "",
        "props": [
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        "type": "function",
        "z": "78d15f59dee4b6d8",
        "name": "分页参数检查",
        "func": "'use strict';\n\nconst TEST_METADATA = {\n    id: 'TC-DMS-PAGINATION-001',\n    name: '分页参数检查',\n    description: \"检查API请求参数中是否包含标准分页参数：pageNo、pageSize和isSearchCount。只有名称含有'查询'、'列表'等并且不含有'详情'一类的API才应用此验证。\",\n    severity: 'MEDIUM',\n    tags: ['pagination', 'params', 'backend-guide'],\n    skip_execution: true,\n};\n\nconst globalApiSpec = msg && msg.oas_def ? msg.oas_def : null;\n\nif (!globalApiSpec || typeof globalApiSpec !== 'object' || !globalApiSpec.paths) {\n    const errorMessage = '分页参数检查无法运行：msg.oas_def 缺失、不是对象或不包含 paths';\n    node.error(errorMessage, msg);\n    msg.error = errorMessage;\n    msg.testcase = {\n        metadata: TEST_METADATA,\n        applies: false,\n        skipped: true,\n        results: [],\n    };\n    return msg;\n}\n\nconst allResults = [];\nlet testApplied = false;\n\n// 遍历所有路径和方法\nfor (const path in globalApiSpec.paths) {\n    if (Object.prototype.hasOwnProperty.call(globalApiSpec.paths, path)) {\n        const pathItem = globalApiSpec.paths[path];\n        for (const method in pathItem) {\n            if (Object.prototype.hasOwnProperty.call(pathItem, method) && ['get', 'post', 'put', 'delete', 'patch', 'options', 'head'].includes(method.toLowerCase())) {\n\n                const operation = pathItem[method];\n                if (!operation || typeof operation !== 'object') continue;\n\n                // 构建 endpointSpec\n                const endpointSpec = buildEndpointSpec(path, method, pathItem, operation);\n\n                // 检查测试是否适用\n                if (shouldApplyTest(endpointSpec)) {\n                    testApplied = true;\n                    const evaluation = runPaginationCheck(endpointSpec, globalApiSpec);\n                    allResults.push(...evaluation.results);\n                }\n            }\n        }\n    }\n}\n\nmsg.testcase = {\n    metadata: TEST_METADATA,\n    applies: testApplied,\n    skipped: !testApplied,\n    results: allResults,\n};\nmsg.payload = msg.testcase;\nreturn msg;\n\nfunction buildEndpointSpec(path, method, pathItem, operation) {\n    const combinedParameters = [];\n    if (Array.isArray(pathItem.parameters)) {\n        combinedParameters.push(...pathItem.parameters);\n    }\n    if (Array.isArray(operation.parameters)) {\n        combinedParameters.push(...operation.parameters);\n    }\n\n    const spec = deepClone(operation);\n    spec.method = method;\n    spec.path = path;\n    if (combinedParameters.length > 0) {\n        spec.parameters = mergeParameters(combinedParameters);\n    }\n    return spec;\n}\n\nfunction shouldApplyTest(spec) {\n    const method = (spec.method || '').toLowerCase();\n    if (method !== 'get' && method !== 'post') {\n        return false;\n    }\n\n    const path = spec.path || '';\n    const summary = spec.summary || '';\n    const description = spec.description || '';\n    const operationId = spec.operationId || '';\n\n    const includeKeywords = ['查询', '列表', '分页', 'page', 'list', 'query', 'search', 'find'];\n    const excludeKeywords = ['详情', '明细', 'detail', 'info', 'get by id', 'getbyid', '查看'];\n\n    const apiDescriptionText = `${summary} ${description} ${operationId} ${path}`.toLowerCase();\n\n    const containsInclude = includeKeywords.some(keyword => apiDescriptionText.includes(keyword.toLowerCase()));\n    if (!containsInclude) {\n        return false;\n    }\n\n    // 检查是否是获取单个资源的 'get'\n    if (method === 'get' && path.includes('{') && path.includes('}')) {\n        const getByIdHints = ['get', 'detail', 'info', '查看'];\n        const isGetById = getByIdHints.some(hint => apiDescriptionText.includes(hint));\n        if (isGetById) return false;\n    }\n\n    const containsExclude = excludeKeywords.some(keyword => apiDescriptionText.includes(keyword.toLowerCase()));\n    return !containsExclude;\n}\n\nfunction extractEndpointSpec(message, apiSpec) {\n    // This function is no longer needed as we iterate through all paths and methods.\n    // Kept for potential future use if a single endpoint needs to be targeted.\n    return null;\n}\n\nfunction resolveEndpointInfo(message) {\n    // This function is no longer needed as we iterate through all paths and methods.\n    return null;\n}\n\nfunction mergeParameters(parameters) {\n    const merged = new Map();\n    for (const param of parameters) {\n        if (!param || typeof param !== 'object') {\n            continue;\n        }\n        const name = param.name || '';\n        const location = param.in || '';\n        const key = `${location}:${name}`;\n        if (!merged.has(key)) {\n            merged.set(key, deepClone(param));\n        }\n    }\n    return Array.from(merged.values());\n}\n\nfunction runPaginationCheck(spec, apiSpec) {\n    const results = [];\n    const path = spec.path || '';\n    const method = (spec.method || '').toLowerCase();\n\n    let foundPageNo = false;\n    let foundPageSize = false;\n    let foundIsSearchCount = false;\n\n    if (Array.isArray(spec.parameters)) {\n        for (const param of spec.parameters) {\n            if (!param || typeof param !== 'object') {\n                continue;\n            }\n            const location = (param.in || '').toLowerCase();\n            if (location !== 'query') {\n                continue;\n            }\n\n            if (param.name === 'pageNo') {\n                foundPageNo = true;\n            } else if (param.name === 'pageSize') {\n                foundPageSize = true;\n            } else if (param.name === 'isSearchCount') {\n                foundIsSearchCount = true;\n            }\n        }\n    }\n\n    if (method === 'post' && spec.requestBody && typeof spec.requestBody === 'object') {\n        const { content } = spec.requestBody;\n        if (content && typeof content === 'object') {\n            for (const mediaType of Object.keys(content)) {\n                const mediaDefinition = content[mediaType];\n                if (!mediaDefinition || typeof mediaDefinition !== 'object') {\n                    continue;\n                }\n                const resolvedSchema = resolveSchema(mediaDefinition.schema, apiSpec);\n                const properties = resolvedSchema && resolvedSchema.properties;\n                if (!properties || typeof properties !== 'object') {\n                    continue;\n                }\n\n                if (Object.prototype.hasOwnProperty.call(properties, 'pageNo')) {\n                    foundPageNo = true;\n                }\n                if (Object.prototype.hasOwnProperty.call(properties, 'pageSize')) {\n                    foundPageSize = true;\n                }\n                if (Object.prototype.hasOwnProperty.call(properties, 'isSearchCount')) {\n                    foundIsSearchCount = true;\n                }\n            }\n        }\n    }\n\n    if (foundPageNo && foundPageSize && foundIsSearchCount) {\n        results.push(makePassedResult('API请求包含所有标准分页参数：pageNo、pageSize和isSearchCount', {\n            path,\n            method: method.toUpperCase(),\n        }));\n    } else {\n        const missingParams = [];\n        if (!foundPageNo) missingParams.push('pageNo');\n        if (!foundPageSize) missingParams.push('pageSize');\n        if (!foundIsSearchCount) missingParams.push('isSearchCount');\n\n        results.push(makeFailedResult(`API请求缺少标准分页参数：${missingParams.join(', ')}`, {\n            path,\n            method: method.toUpperCase(),\n            missing_params: missingParams,\n            found_params: {\n                pageNo: foundPageNo,\n                pageSize: foundPageSize,\n                isSearchCount: foundIsSearchCount,\n            },\n        }));\n    }\n\n    return { results };\n}\n\nfunction deepClone(value) {\n    return value == null ? value : JSON.parse(JSON.stringify(value));\n}\n\nfunction makePassedResult(message, details) {\n    return {\n        passed: true,\n        message,\n        details: details || {},\n    };\n}\n\nfunction makeFailedResult(message, details) {\n    return {\n        passed: false,\n        message,\n        details: details || {},\n    };\n}\n\nfunction resolveSchema(schemaOrRef, apiSpec) {\n    if (!schemaOrRef || typeof schemaOrRef !== 'object') {\n        return {};\n    }\n\n    if (!schemaOrRef.$ref) {\n        return schemaOrRef;\n    }\n\n    if (!apiSpec || typeof apiSpec !== 'object') {\n        return schemaOrRef;\n    }\n\n    const refPath = schemaOrRef.$ref;\n    if (typeof refPath !== 'string' || !refPath.startsWith('#/')) {\n        return schemaOrRef;\n    }\n\n    const tokens = refPath.slice(2).split('/').map(unescapeRefToken);\n    let current = apiSpec;\n    for (const token of tokens) {\n        if (current && Object.prototype.hasOwnProperty.call(current, token)) {\n            current = current[token];\n        } else {\n            return schemaOrRef;\n        }\n    }\n\n    return current && typeof current === 'object' ? current : schemaOrRef;\n}\n\nfunction unescapeRefToken(token) {\n    return token.replace(/~1/g, '/').replace(/~0/g, '~');\n}\n",
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        "timeout": 0,
        "noerr": 0,
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        "finalize": "",
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        "type": "file",
        "z": "78d15f59dee4b6d8",
        "name": "",
        "filename": "C:\\workspace\\test2.txt",
        "filenameType": "str",
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        "type": "inject",
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        "props": [
            {
                "p": "payload"
            },
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        "once": false,
        "onceDelay": 0.1,
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        "payload": "",
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        "z": "78d15f59dee4b6d8",
        "name": "参数生成器",
        "func": "'use strict';\nmsg.operationId =\"createResource\"\n/**\n * 根据 OpenAPI (Swagger) 规范为指定接口生成示例请求参数。\n *\n * 输入：\n *   - msg.oas_def / msg.payload / msg.swagger: OpenAPI 3.x 文档对象或 JSON 字符串\n *   - msg.operationId / msg.req.body.operationId: 目标 operationId（优先级最高）\n *   - msg.path + msg.method: 目标路径与方法（可选）\n *   - 如果以上字段均缺失且文档仅包含一个 operation，则默认使用该 operation\n *\n * 输出：\n *   - msg.mock: {\n *       operationId,\n *       method,\n *       path,\n *       mediaType,\n *       pathParams: {},\n *       query: {},\n *       headers: {},\n *       cookies: {},\n *       body: <示例请求体或 undefined>\n *     }\n *   - msg.payload 同步为 msg.mock 便于调试\n */\n\nlet openApi;\ntry {\n    openApi = extractOpenApiDocument(msg);\n} catch (error) {\n    node.error(`Swagger 自动填充初始化失败：${error.message}`, msg);\n    msg.error = error.message;\n    return msg;\n}\n\nconst operationCtx = resolveOperationContext(msg, openApi);\nif (!operationCtx.operation) {\n    const message = `未找到匹配的接口定义（operationId=${operationCtx.requestedOperationId || '未指定'}, path=${operationCtx.requestedPath || '未指定'}, method=${operationCtx.requestedMethod || '未指定'})`;\n    node.error(message, msg);\n    msg.error = message;\n    return msg;\n}\n\nconst parameterSamples = buildParameterSamples(operationCtx, openApi);\nconst bodySample = buildRequestBodySample(operationCtx.operation, openApi);\n\nmsg.mock = Object.assign({}, msg.mock, {\n    operationId: operationCtx.operation.operationId || operationCtx.requestedOperationId || '',\n    method: (operationCtx.method || '').toUpperCase(),\n    path: operationCtx.path || '',\n    mediaType: bodySample.mediaType,\n    pathParams: parameterSamples.path,\n    query: parameterSamples.query,\n    headers: parameterSamples.header,\n    cookies: parameterSamples.cookie,\n    body: bodySample.payload,\n});\n\nmsg.payload = msg.mock;\nmsg.mockCandidates = operationCtx.candidates;\nif (operationCtx.autoSelected) {\n    msg.mockAutoSelected = true;\n}\nreturn msg;\n\nfunction extractOpenApiDocument(message) {\n    const candidate =\n        message && message.oas_def ? message.oas_def :\n            message && message.swagger ? message.swagger :\n                message && message.payload ? message.payload :\n                    null;\n\n    if (!candidate) {\n        throw new Error('未提供 OpenAPI 文档（需要 msg.oas_def / msg.swagger / msg.payload）');\n    }\n\n    if (typeof candidate === 'string') {\n        try {\n            return JSON.parse(candidate);\n        } catch (error) {\n            throw new Error(`OpenAPI JSON 解析失败：${error.message}`);\n        }\n    }\n\n    if (typeof candidate !== 'object') {\n        throw new Error('OpenAPI 文档必须是对象或 JSON 字符串');\n    }\n\n    if (!candidate.paths || typeof candidate.paths !== 'object') {\n        throw new Error('OpenAPI 文档缺少 paths 字段');\n    }\n\n    return candidate;\n}\n\nfunction resolveOperationContext(message, apiDoc) {\n    const requestedOperationId =\n        (message && message.operationId) ||\n        (message && message.req && message.req.body && message.req.body.operationId) ||\n        null;\n\n    const requestedPath =\n        (message && message.path) ||\n        (message && message.req && message.req.body && message.req.body.path) ||\n        null;\n\n    const requestedMethodRaw =\n        (message && message.method) ||\n        (message && message.req && message.req.body && message.req.body.method) ||\n        null;\n    const requestedMethod = requestedMethodRaw ? String(requestedMethodRaw).toLowerCase() : null;\n\n    const operations = enumerateOperations(apiDoc);\n\n    let matched = null;\n    if (requestedOperationId) {\n        matched = operations.find(op => op.operation.operationId === requestedOperationId);\n    }\n\n    if (!matched && requestedPath && requestedMethod) {\n        matched = operations.find(op => op.path === requestedPath && op.method === requestedMethod);\n    }\n\n    let autoSelected = false;\n    if (!matched && operations.length > 0) {\n        matched = operations[0];\n        autoSelected = true;\n    }\n\n    return {\n        operation: matched ? matched.operation : undefined,\n        method: matched ? matched.method : undefined,\n        pathItem: matched ? matched.pathItem : undefined,\n        path: matched ? matched.path : undefined,\n        autoSelected,\n        candidates: operations.map(op => ({\n            operationId: op.operation && op.operation.operationId ? op.operation.operationId : '',\n            method: op.method ? op.method.toUpperCase() : '',\n            path: op.path,\n            summary: op.operation && op.operation.summary ? op.operation.summary : '',\n        })),\n        requestedOperationId,\n        requestedPath,\n        requestedMethod,\n    };\n}\n\nfunction enumerateOperations(apiDoc) {\n    const results = [];\n    const validMethods = ['get', 'put', 'post', 'delete', 'patch', 'options', 'head', 'trace'];\n    for (const path of Object.keys(apiDoc.paths || {})) {\n        const pathItem = apiDoc.paths[path];\n        if (!pathItem || typeof pathItem !== 'object') {\n            continue;\n        }\n        for (const method of validMethods) {\n            if (pathItem[method] && typeof pathItem[method] === 'object') {\n                results.push({\n                    path,\n                    method,\n                    operation: pathItem[method],\n                    pathItem,\n                });\n            }\n        }\n    }\n    return results;\n}\n\nfunction buildParameterSamples(operationContext, apiDoc) {\n    const aggregated = {\n        path: {},\n        query: {},\n        header: {},\n        cookie: {},\n    };\n\n    const seen = new Set();\n    const paramSources = [];\n    if (Array.isArray(operationContext.pathItem && operationContext.pathItem.parameters)) {\n        paramSources.push(operationContext.pathItem.parameters);\n    }\n    if (Array.isArray(operationContext.operation.parameters)) {\n        paramSources.push(operationContext.operation.parameters);\n    }\n\n    for (const source of paramSources) {\n        for (const param of source) {\n            if (!param || typeof param !== 'object') {\n                continue;\n            }\n            const name = param.name || '';\n            const location = (param.in || 'query').toLowerCase();\n            const key = `${location}:${name}`;\n            if (!name || seen.has(key)) {\n                continue;\n            }\n            seen.add(key);\n\n            const resolvedParam = resolveMaybeRef(param, apiDoc);\n            const targetBucket = aggregated[location] || aggregated.query;\n            targetBucket[name] = generateParameterSample(resolvedParam, apiDoc, location);\n        }\n    }\n\n    return aggregated;\n}\n\nfunction generateParameterSample(param, apiDoc, location) {\n    if (!param || typeof param !== 'object') {\n        return 'sample';\n    }\n\n    const example = pickExample(param);\n    if (example !== undefined) {\n        return example;\n    }\n\n    const schema = resolveMaybeRef(param.schema, apiDoc);\n    const sample = generateSampleValue(schema, apiDoc);\n    if (sample !== undefined) {\n        return sample;\n    }\n\n    // fallback\n    switch (location) {\n        case 'path':\n            return 'sample-id';\n        case 'header':\n            return 'sample-header';\n        case 'cookie':\n            return 'sample-cookie';\n        default:\n            return 'sample';\n    }\n}\n\nfunction buildRequestBodySample(operation, apiDoc) {\n    const resolvedBody = resolveMaybeRef(operation.requestBody, apiDoc);\n    if (!resolvedBody || typeof resolvedBody !== 'object') {\n        return { payload: undefined, mediaType: undefined };\n    }\n\n    const content = resolvedBody.content;\n    if (!content || typeof content !== 'object') {\n        return { payload: undefined, mediaType: undefined };\n    }\n\n    const preferredMediaTypes = [\n        'application/json',\n        'application/*+json',\n        'application/x-www-form-urlencoded',\n        'multipart/form-data',\n        'text/plain',\n    ];\n\n    let chosenMediaType = null;\n    for (const mediaType of preferredMediaTypes) {\n        if (content[mediaType]) {\n            chosenMediaType = mediaType;\n            break;\n        }\n    }\n    if (!chosenMediaType) {\n        const mediaKeys = Object.keys(content);\n        chosenMediaType = mediaKeys.length > 0 ? mediaKeys[0] : null;\n    }\n    if (!chosenMediaType) {\n        return { payload: undefined, mediaType: undefined };\n    }\n\n    const mediaObject = content[chosenMediaType];\n    if (!mediaObject || typeof mediaObject !== 'object') {\n        return { payload: undefined, mediaType: chosenMediaType };\n    }\n\n    if (mediaObject.example !== undefined) {\n        return { payload: clone(mediaObject.example), mediaType: chosenMediaType };\n    }\n    if (mediaObject.examples && typeof mediaObject.examples === 'object') {\n        const firstExample = Object.values(mediaObject.examples)[0];\n        if (firstExample && typeof firstExample === 'object' && firstExample.value !== undefined) {\n            return { payload: clone(firstExample.value), mediaType: chosenMediaType };\n        }\n    }\n\n    const schema = resolveMaybeRef(mediaObject.schema, apiDoc);\n    const payload = generateSampleValue(schema, apiDoc);\n    return { payload, mediaType: chosenMediaType };\n}\n\nfunction pickExample(node) {\n    if (!node || typeof node !== 'object') {\n        return undefined;\n    }\n    if (node.example !== undefined) {\n        return clone(node.example);\n    }\n    if (node.examples && typeof node.examples === 'object') {\n        const first = Object.values(node.examples)[0];\n        if (first && typeof first === 'object' && first.value !== undefined) {\n            return clone(first.value);\n        }\n    }\n    if (node.default !== undefined) {\n        return clone(node.default);\n    }\n    return undefined;\n}\n\nfunction generateSampleValue(schema, apiDoc, depth = 0, seenRefs = new Set()) {\n    if (!schema || typeof schema !== 'object') {\n        return undefined;\n    }\n    if (depth > 8) {\n        return undefined;\n    }\n\n    if (schema.example !== undefined) {\n        return clone(schema.example);\n    }\n    if (schema.default !== undefined) {\n        return clone(schema.default);\n    }\n    if (schema.const !== undefined) {\n        return clone(schema.const);\n    }\n    if (Array.isArray(schema.enum) && schema.enum.length > 0) {\n        return clone(schema.enum[0]);\n    }\n\n    if (schema.$ref) {\n        if (seenRefs.has(schema.$ref)) {\n            return undefined;\n        }\n        seenRefs.add(schema.$ref);\n        const resolved = resolveMaybeRef(schema, apiDoc, seenRefs);\n        return generateSampleValue(resolved, apiDoc, depth + 1, seenRefs);\n    }\n\n    if (Array.isArray(schema.oneOf) && schema.oneOf.length > 0) {\n        return generateSampleValue(schema.oneOf[0], apiDoc, depth + 1, seenRefs);\n    }\n    if (Array.isArray(schema.anyOf) && schema.anyOf.length > 0) {\n        return generateSampleValue(schema.anyOf[0], apiDoc, depth + 1, seenRefs);\n    }\n    if (Array.isArray(schema.allOf) && schema.allOf.length > 0) {\n        const merged = schema.allOf\n            .map(part => resolveMaybeRef(part, apiDoc, seenRefs))\n            .filter(part => part && typeof part === 'object')\n            .reduce((acc, part) => Object.assign(acc, part), {});\n        return generateSampleValue(merged, apiDoc, depth + 1, seenRefs);\n    }\n\n    const type = inferSchemaType(schema);\n    switch (type) {\n        case 'object': {\n            const result = {};\n            if (schema.properties && typeof schema.properties === 'object') {\n                for (const [key, value] of Object.entries(schema.properties)) {\n                    const resolvedChild = resolveMaybeRef(value, apiDoc, seenRefs);\n                    const childSample = generateSampleValue(resolvedChild, apiDoc, depth + 1, seenRefs);\n                    if (childSample !== undefined) {\n                        result[key] = childSample;\n                    }\n                }\n            }\n            const required = Array.isArray(schema.required) ? schema.required : [];\n            for (const propertyName of required) {\n                if (!Object.prototype.hasOwnProperty.call(result, propertyName)) {\n                    result[propertyName] = pickFallbackByFormat({ type: 'string' });\n                }\n            }\n            return Object.keys(result).length > 0 ? result : {};\n        }\n        case 'array': {\n            const itemSchema = resolveMaybeRef(schema.items, apiDoc, seenRefs) || { type: 'string' };\n            const itemSample = generateSampleValue(itemSchema, apiDoc, depth + 1, seenRefs);\n            return itemSample !== undefined ? [itemSample] : [];\n        }\n        case 'integer':\n            return Number.isInteger(schema.minimum) ? schema.minimum : 1;\n        case 'number':\n            if (schema.minimum !== undefined) {\n                return typeof schema.minimum === 'number' ? schema.minimum : 0;\n            }\n            return 1;\n        case 'boolean':\n            return true;\n        case 'string':\n        default:\n            return pickFallbackByFormat(schema);\n    }\n}\n\nfunction inferSchemaType(schema) {\n    if (!schema || typeof schema !== 'object') {\n        return 'string';\n    }\n    if (schema.type) {\n        return schema.type;\n    }\n    if (schema.properties) {\n        return 'object';\n    }\n    if (schema.items) {\n        return 'array';\n    }\n    return 'string';\n}\n\nfunction pickFallbackByFormat(schema) {\n    const format = schema && schema.format ? schema.format.toLowerCase() : null;\n    switch (format) {\n        case 'date':\n            return '2025-01-01';\n        case 'date-time':\n            return '2025-01-01T00:00:00Z';\n        case 'email':\n            return 'user@example.com';\n        case 'uuid':\n            return '00000000-0000-4000-8000-000000000000';\n        case 'uri':\n        case 'url':\n            return 'https://example.com/resource';\n        case 'byte':\n            return Buffer.from('sample').toString('base64');\n        case 'binary':\n            return '<binary>';\n        default:\n            break;\n    }\n\n    const pattern = schema && schema.pattern;\n    if (pattern && /[0-9]{4}-[0-9]{2}-[0-9]{2}/.test(pattern)) {\n        return '2025-01-01';\n    }\n\n    return 'sample';\n}\n\nfunction resolveMaybeRef(node, apiDoc, seenRefs = new Set()) {\n    if (!node || typeof node !== 'object') {\n        return node;\n    }\n    if (!node.$ref) {\n        return node;\n    }\n\n    const ref = node.$ref;\n    if (seenRefs.has(ref)) {\n        return {};\n    }\n    seenRefs.add(ref);\n\n    const resolved = resolveRef(ref, apiDoc);\n    if (!resolved || typeof resolved !== 'object') {\n        return node;\n    }\n\n    const remainder = Object.assign({}, node);\n    delete remainder.$ref;\n\n    return Object.assign({}, clone(resolved), remainder);\n}\n\nfunction resolveRef(ref, apiDoc) {\n    if (typeof ref !== 'string' || !ref.startsWith('#/')) {\n        return null;\n    }\n\n    const tokens = ref.slice(2).split('/').map(unescapeRefToken);\n    let current = apiDoc;\n    for (const token of tokens) {\n        if (current && typeof current === 'object' && Object.prototype.hasOwnProperty.call(current, token)) {\n            current = current[token];\n        } else {\n            return null;\n        }\n    }\n    return current;\n}\n\nfunction unescapeRefToken(token) {\n    return token.replace(/~1/g, '/').replace(/~0/g, '~');\n}\n\nfunction clone(value) {\n    return value == null ? value : JSON.parse(JSON.stringify(value));\n}\n",
        "outputs": 1,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],
        "x": 470,
        "y": 400,
        "wires": [
            [
                "6e56a2ccd9fcaacc"
            ]
        ]
    },
    {
        "id": "6e56a2ccd9fcaacc",
        "type": "debug",
        "z": "78d15f59dee4b6d8",
        "name": "参数展示",
        "active": false,
        "tosidebar": true,
        "console": false,
        "tostatus": false,
        "complete": "mock",
        "targetType": "msg",
        "statusVal": "",
        "statusType": "auto",
        "x": 700,
        "y": 360,
        "wires": []
    },
    {
        "id": "60ce224bd2ed8e69",
        "type": "function",
        "z": "78d15f59dee4b6d8",
        "name": "准备llm输入",
        "func": "'use strict';\nmsg.operationId = \"createResource\"\n/**\n * Node-RED Function 节点脚本：准备大模型 HTTP 请求。\n * 将生成 prompt、HTTP 请求参数，并把上下文写入 msg.llmContext。\n */\n\nconst DEFAULT_API_KEY = 'sk-lbGrsUPL1iby86h554FaE536C343435dAa9bA65967A840B2';\nconst DEFAULT_BASE_URL = 'https://aiproxy.petrotech.cnpc/v1';\nconst DEFAULT_ENDPOINT_PATH = '/chat/completions';\nconst DEFAULT_MODEL = 'deepseek-v3';\n\nfunction prepareLlmRequest(msg, node) {\n    if (!msg.operationId) {\n        msg.operationId = 'createResource';\n    }\n\n    try {\n        const apiDoc = extractOpenApiDocument(msg);\n        const operationCtx = resolveOperationContext(msg, apiDoc);\n\n        if (!operationCtx.operation) {\n            const err = `未找到匹配的接口定义（operationId=${operationCtx.requestedOperationId || '未指定'}, path=${operationCtx.requestedPath || '未指定'}, method=${operationCtx.requestedMethod || '未指定'})`;\n            node.error(err, msg);\n            msg.error = err;\n            return null;\n        }\n\n        const prompt = buildPrompt(operationCtx, apiDoc, msg);\n        const requestPayload = buildRequestPayload(prompt, msg);\n\n        const apiKey = (msg.llm && msg.llm.apiKey) || DEFAULT_API_KEY;\n        const baseUrl = (msg.llm && msg.llm.baseUrl) || DEFAULT_BASE_URL;\n        const endpointPath = (msg.llm && msg.llm.endpoint) || DEFAULT_ENDPOINT_PATH;\n\n        const url = buildUrl(baseUrl, endpointPath);\n        msg.method = 'POST';\n        msg.url = url;\n        msg.headers = Object.assign({}, msg.headers, {\n            'Content-Type': 'application/json',\n            'Authorization': `Bearer ${apiKey}`,\n        });\n        msg.payload = requestPayload;\n        msg.rejectUnauthorized = false;\n\n        msg.llmContext = {\n            prompt,\n            operationCtx,\n            provider: 'dashscope',\n            requestConfig: {\n                baseUrl,\n                endpointPath,\n                model: requestPayload.model,\n                temperature: requestPayload.temperature,\n            },\n        };\n        delete msg.error;\n        return msg;\n    } catch (error) {\n        node.error(`LLM 请求准备失败：${error.message}`, msg);\n        msg.error = error.message;\n        return null;\n    }\n}\n\nfunction extractOpenApiDocument(message) {\n    const candidate =\n        message && message.oas_def ? message.oas_def :\n            message && message.swagger ? message.swagger :\n                message && message.payload ? message.payload :\n                    null;\n\n    if (!candidate) {\n        throw new Error('未提供 OpenAPI 文档（需要 msg.oas_def / msg.swagger / msg.payload）');\n    }\n\n    if (typeof candidate === 'string') {\n        try {\n            return JSON.parse(candidate);\n        } catch (error) {\n            throw new Error(`OpenAPI JSON 解析失败：${error.message}`);\n        }\n    }\n\n    if (typeof candidate !== 'object') {\n        throw new Error('OpenAPI 文档必须是对象或 JSON 字符串');\n    }\n\n    if (!candidate.paths || typeof candidate.paths !== 'object') {\n        throw new Error('OpenAPI 文档缺少 paths 字段');\n    }\n\n    return candidate;\n}\n\nfunction resolveOperationContext(message, apiDoc) {\n    const requestedOperationId =\n        (message && message.operationId) ||\n        (message && message.req && message.req.body && message.req.body.operationId) ||\n        null;\n\n    const requestedPath =\n        (message && message.path) ||\n        (message && message.req && message.req.body && message.req.body.path) ||\n        null;\n\n    const requestedMethodRaw =\n        (message && message.method) ||\n        (message && message.req && message.req.body && message.req.body.method) ||\n        null;\n    const requestedMethod = requestedMethodRaw ? String(requestedMethodRaw).toLowerCase() : null;\n\n    const operations = enumerateOperations(apiDoc);\n\n    let matched = null;\n    if (requestedOperationId) {\n        matched = operations.find(op => op.operation.operationId === requestedOperationId);\n    }\n\n    if (!matched && requestedPath && requestedMethod) {\n        matched = operations.find(op => op.path === requestedPath && op.method === requestedMethod);\n    }\n\n    let autoSelected = false;\n    if (!matched && operations.length > 0) {\n        matched = operations[0];\n        autoSelected = true;\n    }\n\n    return {\n        operation: matched ? matched.operation : undefined,\n        method: matched ? matched.method : undefined,\n        pathItem: matched ? matched.pathItem : undefined,\n        path: matched ? matched.path : undefined,\n        autoSelected,\n        candidates: operations.map(op => ({\n            operationId: op.operation && op.operation.operationId ? op.operation.operationId : '',\n            method: op.method ? op.method.toUpperCase() : '',\n            path: op.path,\n            summary: op.operation && op.operation.summary ? op.operation.summary : '',\n        })),\n        requestedOperationId,\n        requestedPath,\n        requestedMethod,\n    };\n}\n\nfunction enumerateOperations(apiDoc) {\n    const results = [];\n    const validMethods = ['get', 'put', 'post', 'delete', 'patch', 'options', 'head', 'trace'];\n    for (const path of Object.keys(apiDoc.paths || {})) {\n        const pathItem = apiDoc.paths[path];\n        if (!pathItem || typeof pathItem !== 'object') {\n            continue;\n        }\n        for (const method of validMethods) {\n            if (pathItem[method] && typeof pathItem[method] === 'object') {\n                results.push({\n                    path,\n                    method,\n                    operation: pathItem[method],\n                    pathItem,\n                });\n            }\n        }\n    }\n    return results;\n}\n\nfunction buildPrompt(operationCtx, apiDoc, message) {\n    const operation = operationCtx.operation;\n    const method = (operationCtx.method || '').toUpperCase();\n    const path = operationCtx.path || '';\n    const summary = operation.summary || '';\n    const description = operation.description || '';\n\n    const parameters = gatherParameters(operationCtx, apiDoc);\n    const requestBodySchema = gatherRequestBodySchema(operation, apiDoc);\n\n    const userNotes = message && message.prompt ? String(message.prompt) : '';\n\n    const lines = [];\n    lines.push('You are an assistant that generates realistic API request parameter examples.');\n    lines.push('Return a strict JSON object with the shape:');\n    lines.push('{');\n    lines.push('  \\\"pathParams\\\": { ... },');\n    lines.push('  \\\"query\\\": { ... },');\n    lines.push('  \\\"headers\\\": { ... },');\n    lines.push('  \\\"cookies\\\": { ... },');\n    lines.push('  \\\"body\\\": { ... },');\n    lines.push('  \\\"notes\\\": \\\"...\\\"');\n    lines.push('}');\n    lines.push('Set missing sections to empty objects. Avoid explanatory text outside JSON.');\n    lines.push('');\n    lines.push(`Target operation: ${method} ${path}`);\n    if (summary) {\n        lines.push(`Summary: ${summary}`);\n    }\n    if (description) {\n        lines.push(`Description: ${description}`);\n    }\n    if (parameters.length > 0) {\n        lines.push('Parameters:');\n        for (const param of parameters) {\n            lines.push(`- [${param.in}] ${param.name}: ${param.type || 'any'}${param.required ? ' (required)' : ''}${param.description ? ` - ${param.description}` : ''}`);\n        }\n    } else {\n        lines.push('Parameters: none defined.');\n    }\n\n    if (requestBodySchema) {\n        lines.push('Request body schema (JSON Schema excerpt):');\n        lines.push(indentSnippet(JSON.stringify(requestBodySchema, null, 2), 2, 900));\n    } else {\n        lines.push('Request body: not defined.');\n    }\n\n    if (userNotes) {\n        lines.push('');\n        lines.push('User notes:');\n        lines.push(userNotes);\n    }\n\n    return lines.join('\\n');\n}\n\nfunction gatherParameters(operationCtx, apiDoc) {\n    const aggregated = [];\n    const seen = new Set();\n\n    const sources = [];\n    if (Array.isArray(operationCtx.pathItem && operationCtx.pathItem.parameters)) {\n        sources.push(operationCtx.pathItem.parameters);\n    }\n    if (Array.isArray(operationCtx.operation.parameters)) {\n        sources.push(operationCtx.operation.parameters);\n    }\n\n    for (const list of sources) {\n        for (const param of list) {\n            if (!param || typeof param !== 'object') {\n                continue;\n            }\n            const resolved = resolveMaybeRef(param, apiDoc);\n            const key = `${resolved.in}:${resolved.name}`;\n            if (!resolved.name || seen.has(key)) {\n                continue;\n            }\n            seen.add(key);\n            aggregated.push({\n                name: resolved.name,\n                in: resolved.in || 'query',\n                required: !!resolved.required,\n                description: resolved.description || '',\n                type: resolved.schema ? inferFriendlyType(resolved.schema, apiDoc) : '',\n            });\n        }\n    }\n\n    return aggregated;\n}\n\nfunction gatherRequestBodySchema(operation, apiDoc) {\n    const requestBody = resolveMaybeRef(operation.requestBody, apiDoc);\n    if (!requestBody || typeof requestBody !== 'object' || !requestBody.content) {\n        return null;\n    }\n\n    const content = requestBody.content;\n    const mediaType = Object.keys(content).find(key => key.includes('json')) || Object.keys(content)[0];\n    if (!mediaType) {\n        return null;\n    }\n\n    const mediaObject = resolveMaybeRef(content[mediaType], apiDoc);\n    if (!mediaObject || typeof mediaObject !== 'object' || !mediaObject.schema) {\n        return null;\n    }\n\n    const schema = resolveMaybeRef(mediaObject.schema, apiDoc);\n    return schema;\n}\n\nfunction inferFriendlyType(schema, apiDoc) {\n    if (!schema) {\n        return '';\n    }\n    const resolved = resolveMaybeRef(schema, apiDoc);\n    if (!resolved || typeof resolved !== 'object') {\n        return '';\n    }\n\n    if (resolved.type) {\n        if (resolved.type === 'array' && resolved.items) {\n            const itemType = inferFriendlyType(resolved.items, apiDoc) || 'any';\n            return `[${itemType}]`;\n        }\n        return resolved.type;\n    }\n\n    if (resolved.enum && Array.isArray(resolved.enum)) {\n        return `enum(${resolved.enum.slice(0, 3).join(', ')}${resolved.enum.length > 3 ? ', …' : ''})`;\n    }\n\n    if (resolved.properties) {\n        return 'object';\n    }\n\n    return '';\n}\n\nfunction buildRequestPayload(prompt, message) {\n    const systemPrompt = (message.llm && message.llm.systemPrompt) ||\n        'You write JSON only. Focus on realistic values for testing HTTP APIs.';\n\n    const model = (message.llm && message.llm.model) || DEFAULT_MODEL;\n    const temperature = (message.llm && typeof message.llm.temperature === 'number')\n        ? message.llm.temperature : 0.2;\n\n    return {\n        model,\n        temperature,\n        response_format: { type: 'json_object' },\n        messages: [\n            { role: 'system', content: systemPrompt },\n            { role: 'user', content: prompt },\n        ],\n    };\n}\n\nfunction buildUrl(baseUrl, endpointPath) {\n    const normalizedBase = baseUrl.endsWith('/') ? baseUrl : `${baseUrl}/`;\n    const path = endpointPath.startsWith('/') ? endpointPath.slice(1) : endpointPath;\n    return `${normalizedBase}${path}`;\n}\n\nfunction resolveMaybeRef(node, apiDoc) {\n    if (!node || typeof node !== 'object') {\n        return node;\n    }\n    if (!node.$ref) {\n        return node;\n    }\n\n    const resolved = resolveRef(node.$ref, apiDoc);\n    if (!resolved || typeof resolved !== 'object') {\n        return node;\n    }\n\n    const remainder = Object.assign({}, node);\n    delete remainder.$ref;\n    return Object.assign({}, clone(resolved), remainder);\n}\n\nfunction resolveRef(ref, apiDoc) {\n    if (typeof ref !== 'string' || !ref.startsWith('#/')) {\n        return null;\n    }\n\n    const tokens = ref.slice(2).split('/').map(unescapeRefToken);\n    let current = apiDoc;\n    for (const token of tokens) {\n        if (current && typeof current === 'object' && Object.prototype.hasOwnProperty.call(current, token)) {\n            current = current[token];\n        } else {\n            return null;\n        }\n    }\n    return current;\n}\n\nfunction unescapeRefToken(token) {\n    return token.replace(/~1/g, '/').replace(/~0/g, '~');\n}\n\nfunction indentSnippet(text, indentLevel, maxLength) {\n    const trimmed = maxLength && text.length > maxLength ? `${text.slice(0, maxLength)}…` : text;\n    const indent = ' '.repeat(indentLevel * 2);\n    return trimmed.split('\\n').map(line => `${indent}${line}`).join('\\n');\n}\n\nfunction clone(value) {\n    return value == null ? value : JSON.parse(JSON.stringify(value));\n}\n\nreturn prepareLlmRequest(msg, node);\n",
        "outputs": 1,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],
        "x": 450,
        "y": 540,
        "wires": [
            [
                "540a5771113ca5dd"
            ]
        ]
    },
    {
        "id": "e87c2057c28d5eee",
        "type": "debug",
        "z": "78d15f59dee4b6d8",
        "name": "llm参数展示",
        "active": true,
        "tosidebar": true,
        "console": false,
        "tostatus": false,
        "complete": "mock",
        "targetType": "msg",
        "statusVal": "",
        "statusType": "auto",
        "x": 790,
        "y": 420,
        "wires": []
    },
    {
        "id": "20818ab4243934bf",
        "type": "function",
        "z": "78d15f59dee4b6d8",
        "name": "处理llm返回",
        "func": "'use strict';\n\n/**\n * Node-RED Function 节点脚本：处理大模型 HTTP 响应。\n * 将响应解析为 mock 数据并写回 msg。\n */\n\nfunction processLlmResponse(msg, node) {\n    const context = msg.llmContext || {};\n    if (!context.prompt || !context.operationCtx) {\n        const err = 'LLM 上下文缺失，无法解析响应';\n        node.error(err, msg);\n        msg.error = err;\n        return msg;\n    }\n\n    if (msg.statusCode && (msg.statusCode < 200 || msg.statusCode >= 300)) {\n        const err = `大模型接口返回状态码 ${msg.statusCode}`;\n        node.error(err, msg);\n        msg.error = err;\n        return msg;\n    }\n\n    let raw = msg.payload;\n    if (Buffer.isBuffer(raw)) {\n        raw = raw.toString('utf8');\n    }\n    if (typeof raw === 'string') {\n        try {\n            raw = JSON.parse(raw);\n        } catch (error) {\n            node.error(`无法解析大模型响应：${error.message}`, msg);\n            msg.error = error.message;\n            return msg;\n        }\n    }\n\n    try {\n        const parsed = parseModelResponse(raw);\n\n        msg.llmRaw = raw;\n        msg.mock = Object.assign({}, msg.mock, parsed.mock);\n        msg.mockSource = context.provider || 'dashscope';\n        msg.mockPrompt = context.prompt;\n        msg.mockCandidates = context.operationCtx.candidates;\n        msg.mockAutoSelected = !!context.operationCtx.autoSelected;\n        msg.payload = msg.mock;\n\n        delete msg.llmContext;\n        if (msg.headers && msg.headers.Authorization) {\n            delete msg.headers.Authorization;\n        }\n\n        delete msg.error;\n        return msg;\n    } catch (error) {\n        node.error(`大模型参数生成失败：${error.message}`, msg);\n        msg.error = error.message;\n        return msg;\n    }\n}\n\nfunction parseModelResponse(response) {\n    if (!response || typeof response !== 'object') {\n        throw new Error('大模型响应为空或不是对象');\n    }\n\n    if (response.mock && typeof response.mock === 'object') {\n        return { mock: response.mock };\n    }\n\n    const choices = Array.isArray(response.choices) ? response.choices : [];\n    const firstChoice = choices[0];\n    const message = firstChoice && firstChoice.message ? firstChoice.message : null;\n    const content = message && typeof message === 'object' ? message.content : null;\n\n    if (!content) {\n        throw new Error('响应中缺少 choices[0].message.content');\n    }\n\n    let mockObject;\n    if (typeof content === 'string') {\n        try {\n            mockObject = JSON.parse(content);\n        } catch (err) {\n            throw new Error(`无法解析模型返回的 JSON：${err.message}，原始文本：${content}`);\n        }\n    } else if (Array.isArray(content)) {\n        const jsonPart = content.find(part => part.type === 'output_text' || part.type === 'text' || part.type === 'json');\n        const text = jsonPart && jsonPart.text ? jsonPart.text : null;\n        if (!text) {\n            throw new Error('响应内容不是字符串，且未找到可解析的文本段');\n        }\n        try {\n            mockObject = JSON.parse(text);\n        } catch (err) {\n            throw new Error(`无法解析模型返回的 JSON：${err.message}，原始文本：${text}`);\n        }\n    } else {\n        throw new Error('模型返回的 message.content 既不是字符串也不是文本片段数组');\n    }\n\n    if (!mockObject || typeof mockObject !== 'object') {\n        throw new Error('模型返回的 JSON 不是对象');\n    }\n\n    const normalisedMock = {\n        pathParams: mockObject.pathParams || mockObject.path_parameters || {},\n        query: mockObject.query || mockObject.query_params || {},\n        headers: mockObject.headers || {},\n        cookies: mockObject.cookies || {},\n        body: mockObject.body || {},\n        notes: mockObject.notes || '',\n    };\n\n    return { mock: normalisedMock };\n}\n\nreturn processLlmResponse(msg, node);\n",
        "outputs": 1,
        "timeout": 0,
        "noerr": 0,
        "initialize": "",
        "finalize": "",
        "libs": [],
        "x": 730,
        "y": 520,
        "wires": [
            [
                "e87c2057c28d5eee"
            ]
        ]
    },
    {
        "id": "540a5771113ca5dd",
        "type": "http request",
        "z": "78d15f59dee4b6d8",
        "name": "",
        "method": "POST",
        "ret": "txt",
        "paytoqs": "ignore",
        "url": "",
        "tls": "",
        "persist": false,
        "proxy": "",
        "insecureHTTPParser": false,
        "authType": "",
        "senderr": false,
        "headers": [],
        "x": 600,
        "y": 600,
        "wires": [
            [
                "20818ab4243934bf"
            ]
        ]
    }
]