2545 lines
161 KiB
JSON
2545 lines
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||
"outputs": 1,
|
||
"timeout": 0,
|
||
"noerr": 0,
|
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"initialize": "",
|
||
"finalize": "",
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|
||
"name": "准备delete",
|
||
"func": "'use strict';\n\n/**\n * 依据 msg.crudFlow.delete 生成删除请求体，支持占位符 {{primaryKey}}。\n */\n\nreturn configureDeleteRequest(msg, node);\n\nfunction configureDeleteRequest(message, node) {\n if (!message.crudFlow || !message.crudFlow.delete) {\n return message;\n }\n\n const del = message.crudFlow.delete;\n const baseUrl = message.crudFlow.baseUrl || '';\n const primaryKeyValue = del.actualKey || message.primaryKeyValue || del.primaryKey || 'testid2';\n const method = (del.method || 'POST').toUpperCase();\n\n let path = del.path || '';\n let payload = null;\n\n if (method === 'DELETE' && path.includes('{')) {\n path = path.replace(/\\{[^}]+\\}/g, encodeURIComponent(primaryKeyValue));\n } else {\n const template = del.payloadTemplate || { version: '1.0.0', data: ['{{primaryKey}}'] };\n payload = materialiseTemplate(template, primaryKeyValue);\n }\n\n message.method = method;\n message.url = mergeUrl(baseUrl, path);\n message.headers = Object.assign({}, message.crudFlow.headers || {}, del.headers || {});\n\n if (payload !== null) {\n message.payload = payload;\n } else if (message.payload !== undefined) {\n delete message.payload;\n }\n\n return message;\n}\n\nfunction materialiseTemplate(template, primaryKeyValue) {\n const cloned = clone(template);\n return replacePlaceholder(cloned, primaryKeyValue);\n}\n\nfunction replacePlaceholder(value, primaryKeyValue) {\n if (typeof value === 'string') {\n return value.replace(/\\{\\{\\s*primaryKey\\s*\\}\\}/g, primaryKeyValue);\n }\n if (Array.isArray(value)) {\n return value.map(item => replacePlaceholder(item, primaryKeyValue));\n }\n if (value && typeof value === 'object') {\n const result = {};\n for (const key of Object.keys(value)) {\n result[key] = replacePlaceholder(value[key], primaryKeyValue);\n }\n return result;\n }\n return value;\n}\n\nfunction mergeUrl(base, path) {\n const prefix = (base || '').replace(/\\/+$/, '');\n const suffix = (path || '').replace(/^\\/+/, '');\n if (!prefix) {\n return `/${suffix}`;\n }\n if (!suffix) {\n return prefix;\n }\n return `${prefix}/${suffix}`;\n}\n\nfunction clone(value) {\n return value == null ? value : JSON.parse(JSON.stringify(value));\n}\n",
|
||
"outputs": 1,
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"timeout": 0,
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||
"noerr": 0,
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"initialize": "",
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"finalize": "",
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"id": "ab1f2a98d3200f0d",
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"type": "function",
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"z": "2bbc1a949095492c",
|
||
"name": "汇总",
|
||
"func": "'use strict';\n\n/**\n * 汇总 CRUD 执行结果，生成统一响应结构。\n */\n\nreturn summariseCrudResult(msg, node);\n\nfunction summariseCrudResult(message, node) {\n const identityField = (message.crudFlow && message.crudFlow.identityField) ||\n message.identityField || 'dsid';\n const primaryKey = (message.crudFlow && message.crudFlow.delete && message.crudFlow.delete.actualKey) ||\n message.primaryKeyValue || null;\n\n const listOk = message.listError ? false : true;\n const createOk = message.isCreated === undefined ? true : !!message.isCreated;\n const deleteOk = message.isDeleted === undefined ? true : !!message.isDeleted;\n\n const success = listOk && createOk && deleteOk;\n\n message.payload = {\n code: success ? 0 : 1,\n message: success ? '井创建删除流程测试成功' : '井创建删除流程部分失败',\n details: {\n listOk,\n createOk,\n deleteOk,\n identityField,\n primaryKey,\n },\n };\n\n return message;\n}\n",
|
||
"outputs": 1,
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||
"timeout": 0,
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||
"noerr": 0,
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"initialize": "",
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"finalize": "",
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"libs": [],
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"id": "35caa921acd6676e",
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"type": "debug",
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"z": "2bbc1a949095492c",
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"name": "汇总结果",
|
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"active": true,
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"tosidebar": true,
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"console": false,
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"tostatus": false,
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"complete": "payload",
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"targetType": "msg",
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"statusVal": "",
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"id": "091820a71299ef8e",
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"name": "请求内容",
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"tostatus": false,
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"complete": "payload",
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"targetType": "msg",
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"name": "请求结果",
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"active": true,
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"console": false,
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||
"tostatus": false,
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"complete": "payload",
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"targetType": "msg",
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"z": "78d15f59dee4b6d8",
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"name": "单接口测试",
|
||
"url": "/single_test",
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"upload": false,
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"func": "'use strict';\n\nconst DEFAULT_OPENAPI_VERSION = '3.0.1';\nconst DEFAULT_API_VERSION = '1.0.0';\nconst BASE_PREFIX = 'https://www.dev.ideas.cnpc/api/dms';\nconst DEFAULT_SERVICE_ID = 'well_kd_wellbore_ideas01';\nconst DEFAULT_API_SEGMENT = 'v1';\nconst FALLBACK_BASE_URL = `${BASE_PREFIX}/${DEFAULT_SERVICE_ID}/${DEFAULT_API_SEGMENT}`;\nconst FALLBACK_HEADERS = {\n 'Content-Type': 'application/json',\n 'Authorization': '1',\n 'Dataregion': 'ZZLH',\n};\nconst SERVICE_DOMAIN_CATALOG = {\n 'well_kd_wellbore_ideas01': {\n name: '井筒',\n id: 'well_kd_wellbore_ideas01',\n keywords: ['wb', 'wb_dr', 'wb_ml', 'wb_wl', 'wb_tp', 'wb_dh', 'wb_fr'],\n },\n 'geo_kd_res_ideas01': {\n name: '采油气',\n id: 'geo_kd_res_ideas01',\n keywords: ['pc', 'pc_op', 'pc_oe', 'pc_ge'],\n },\n 'kd_cr_ideas01': {\n name: '分析化验',\n id: 'kd_cr_ideas01',\n keywords: ['cr', 'cr_se'],\n },\n 'kd_rs_ideas01': {\n name: '油气藏',\n id: 'kd_rs_ideas01',\n keywords: ['rs', 'rs_rd', 'rs_rm', 'rs_gs', 'rs_in'],\n },\n};\n\nlet schema;\ntry {\n // 优先使用 HTTP In 提供的 req.body.schema，缺省时回退到 msg.payload。\n const schemaInput = extractSchemaInput(msg);\n schema = parseSchema(schemaInput);\n} catch (error) {\n node.error(`DMS -> Swagger 解析失败：${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 crudConfig = Object.assign({}, msg.crudConfig || {});\n\nconst dmsMeta = extractDmsMeta(msg);\nmsg.dms_meta = dmsMeta;\n\nconst serviceInfo = resolveServiceInfo(dmsMeta && dmsMeta.domain);\nconst apiVersionSegment = DEFAULT_API_SEGMENT;\nconst serviceId = serviceInfo.id;\n\nconst { resourceSegment, versionSegment } = deriveResourceSegments(dmsMeta, schema, collectionName);\nconst listPath = buildListPath(resourceSegment, versionSegment);\nconst singlePath = buildSinglePath(resourceSegment);\nconst detailPath = buildDetailPath(resourceSegment, versionSegment, identityField);\nconst createRequestSchema = buildCreateRequestSchema(resourceName);\nconst updateRequestSchema = buildCreateRequestSchema(resourceName);\nconst deleteRequestSchema = buildDeleteRequestSchema(identityField);\nconst listRequestSchema = buildListRequestSchema();\nconst listResponseSchema = buildListResponseSchema(resourceName);\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 resourceName,\n identityField,\n identitySchema,\n listPath,\n createPath: singlePath,\n detailPath,\n createRequestSchema,\n updateRequestSchema,\n deleteRequestSchema,\n listRequestSchema,\n listResponseSchema,\n }),\n components: {\n schemas: {\n [resourceName]: schemaComponent,\n },\n },\n};\n\nif (!crudConfig.baseUrl) {\n crudConfig.baseUrl = `${BASE_PREFIX}/${serviceId}/${apiVersionSegment}`;\n}\n\nconst headers = Object.assign({}, FALLBACK_HEADERS, crudConfig.headers || {});\nconst dataRegionValue = extractDataRegion(schema, headers.Dataregion);\n\nif (dataRegionValue) {\n headers.Dataregion = dataRegionValue;\n crudConfig.dataRegion = dataRegionValue;\n}\n\ncrudConfig.headers = headers;\ncrudConfig.identityField = crudConfig.identityField || identityField;\n\ncrudConfig.service = crudConfig.service || {\n id: serviceId,\n name: serviceInfo.name,\n};\n\ncrudConfig.list = crudConfig.list || {};\nif (!crudConfig.list.path) {\n crudConfig.list.path = listPath;\n}\ncrudConfig.list.method = crudConfig.list.method || 'POST';\n\ncrudConfig.create = crudConfig.create || {};\nif (!crudConfig.create.path) {\n crudConfig.create.path = singlePath;\n}\ncrudConfig.create.method = crudConfig.create.method || 'POST';\n\ncrudConfig.delete = crudConfig.delete || {};\nif (!crudConfig.delete.path) {\n crudConfig.delete.path = singlePath;\n}\ncrudConfig.delete.method = crudConfig.delete.method || 'POST';\n\ncrudConfig.detailPath = crudConfig.detailPath || detailPath;\ncrudConfig.version = crudConfig.version || versionSegment;\n\nmsg.crudConfig = crudConfig;\nmsg.headers = Object.assign({}, headers);\n\nmsg.oas_def = openApiDocument;\nmsg.payload = openApiDocument;\nreturn msg;\n\nfunction extractDataRegion(dmsSchema, fallback) {\n if (!dmsSchema || typeof dmsSchema !== 'object') {\n return fallback;\n }\n\n if (typeof dmsSchema.dataRegion === 'string' && dmsSchema.dataRegion.trim()) {\n return dmsSchema.dataRegion.trim();\n }\n\n if (dmsSchema.defaultShow && Array.isArray(dmsSchema.defaultShow)) {\n const candidate = dmsSchema.defaultShow.find(item => item && typeof item === 'string' && item.toLowerCase().includes('dataregion'));\n if (candidate) {\n return fallback;\n }\n }\n\n const props = dmsSchema.properties;\n if (props && typeof props === 'object' && props.dataRegion) {\n if (typeof props.dataRegion.default === 'string' && props.dataRegion.default.trim()) {\n return props.dataRegion.default.trim();\n }\n }\n\n return fallback;\n}\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 if (looksLikeDmsSchema(message.req.body)) {\n return message.req.body;\n }\n }\n\n if (message && message.payload !== undefined) {\n if (message.payload && typeof message.payload === 'object') {\n if (message.payload.schema !== undefined) {\n return message.payload.schema;\n }\n if (looksLikeDmsSchema(message.payload)) {\n return message.payload;\n }\n }\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({\n resourceName,\n identityField,\n identitySchema,\n listPath,\n createPath,\n detailPath,\n createRequestSchema,\n updateRequestSchema,\n deleteRequestSchema,\n listRequestSchema,\n listResponseSchema,\n}) {\n const ref = `#/components/schemas/${resourceName}`;\n const paths = {};\n\n const normalisedListPath = normalisePath(listPath);\n const normalisedCreatePath = normalisePath(createPath);\n const normalisedDetailPath = detailPath ? normalisePath(detailPath) : null;\n\n paths[normalisedListPath] = {\n post: {\n operationId: `list${resourceName}s`,\n summary: `List ${resourceName} resources`,\n requestBody: {\n required: false,\n content: {\n 'application/json': {\n schema: listRequestSchema,\n },\n },\n },\n responses: {\n 200: {\n description: 'Successful response',\n content: {\n 'application/json': {\n schema: listResponseSchema || {\n type: 'array',\n items: { $ref: ref },\n },\n },\n },\n },\n },\n },\n };\n\n paths[normalisedCreatePath] = {\n post: {\n operationId: `create${resourceName}`,\n summary: `Create a ${resourceName}`,\n requestBody: {\n required: true,\n content: {\n 'application/json': {\n schema: createRequestSchema,\n },\n },\n },\n responses: {\n 201: {\n description: 'Created',\n content: {\n 'application/json': {\n schema: { $ref: ref },\n },\n },\n },\n },\n },\n put: {\n operationId: `update${resourceName}`,\n summary: `Update a ${resourceName}`,\n requestBody: {\n required: true,\n content: {\n 'application/json': {\n schema: updateRequestSchema,\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 ${resourceName} resources`,\n requestBody: {\n required: true,\n content: {\n 'application/json': {\n schema: deleteRequestSchema,\n },\n },\n },\n responses: {\n 200: { description: 'Deleted' },\n },\n },\n };\n\n if (normalisedDetailPath) {\n paths[normalisedDetailPath] = {\n parameters: [\n {\n name: identityField,\n in: 'path',\n required: true,\n schema: identitySchema,\n },\n ],\n get: {\n operationId: `get${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 }\n\n return paths;\n}\n\nfunction normalisePath(path) {\n if (!path) {\n return '/';\n }\n return path.startsWith('/') ? path : `/${path}`;\n}\n\nfunction pascalCase(input) {\n return input\n .replace(/[^a-zA-Z0-9]+/g, ' ')\n .split(' 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'';\n const location = param.in || '';\n const key = `${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 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|
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"outputs": 1,
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"timeout": 0,
|
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"noerr": 0,
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"initialize": "",
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"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",
|
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"outputs": 1,
|
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"timeout": 0,
|
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||
"id": "6e56a2ccd9fcaacc",
|
||
"type": "debug",
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||
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|
||
"active": false,
|
||
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|
||
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|
||
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|
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"name": "准备llm输入",
|
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"func": "'use strict';\n\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 const requiredFields = extractRequiredFields(requestBodySchema);\n const requiredFieldsText = requiredFields.length > 0\n ? requiredFields.map(field => `- ${field}`).join('\\n')\n : '';\n\n const lines = [];\n lines.push('你是一名负责生成 HTTP 接口测试参数的助手，请严格输出以下结构的 JSON：');\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('未用到的分区请返回空对象，不要在 JSON 外输出任何文字。');\n lines.push('');\n lines.push('body.data[0] 必须遵守：');\n lines.push('- 覆盖 schema 中声明的全部必填字段，并给出符合字段类型/格式的真实感样例值。');\n lines.push('- 不得遗漏必填字段；若 schema 内有嵌套对象/数组的必填字段，同样要补齐。');\n lines.push('- 保持数值、日期、字符串等格式，只在 schema 无提示时使用 \"sample\"、\"2025-01-01\" 等占位值。');\n if (requiredFieldsText) {\n lines.push('必填字段清单（必须全部出现在 body.data[0] 中）：');\n lines.push(requiredFieldsText);\n }\n lines.push('');\n lines.push('若 schema 中存在数组元素或复合结构的必填字段，也要为这些子字段提供值。');\n lines.push('');\n lines.push(`Target operation: ${method} ${path}`);\n\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}${line}`).join('\\n');\n}\n\nfunction clone(value) {\n return value == null ? value : JSON.parse(JSON.stringify(value));\n}\n\nfunction extractRequiredFields(schema) {\n const result = new Set();\n collectRequiredFields(schema, result, '');\n return Array.from(result);\n}\n\nfunction collectRequiredFields(schema, result, pathPrefix) {\n if (!schema || typeof schema !== 'object') {\n return;\n }\n\n if (schema.$ref) {\n return;\n }\n\n if (Array.isArray(schema.required) && schema.properties && typeof schema.properties === 'object') {\n for (const key of schema.required) {\n const nextPath = pathPrefix ? `${pathPrefix}.${key}` : key;\n result.add(nextPath);\n collectRequiredFields(schema.properties[key], result, nextPath);\n }\n }\n\n if (schema.type === 'array' && schema.items) {\n collectRequiredFields(schema.items, result, pathPrefix);\n }\n\n if (schema.allOf && Array.isArray(schema.allOf)) {\n for (const part of schema.allOf) {\n collectRequiredFields(part, result, pathPrefix);\n }\n }\n}\n\nreturn prepareLlmRequest(msg, node);\n",
|
||
"outputs": 1,
|
||
"timeout": 0,
|
||
"noerr": 0,
|
||
"initialize": "",
|
||
"finalize": "",
|
||
"libs": [],
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"wires": [
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"540a5771113ca5dd",
|
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|
||
]
|
||
]
|
||
},
|
||
{
|
||
"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",
|
||
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"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": [],
|
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"wires": [
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|
||
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|
||
]
|
||
},
|
||
{
|
||
"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": [],
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||
"x": 580,
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]
|
||
},
|
||
{
|
||
"id": "44fc6e2d405c2a78",
|
||
"type": "debug",
|
||
"z": "78d15f59dee4b6d8",
|
||
"name": "请求",
|
||
"active": true,
|
||
"tosidebar": true,
|
||
"console": false,
|
||
"tostatus": false,
|
||
"complete": "payload",
|
||
"targetType": "msg",
|
||
"statusVal": "",
|
||
"statusType": "auto",
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"id": "9c84414e55654e6a",
|
||
"type": "function",
|
||
"z": "78d15f59dee4b6d8",
|
||
"name": "构建CRUD计划",
|
||
"func": "'use strict';\n\n/**\n * 构建 CRUD 执行动作所需的指令集合，保存于 msg.crudFlow。\n * 约定 operationId 采用 dms→oas 转换后默认的命名：\n * list<ResourceName>s / create<ResourceName> / delete<ResourceName>\n * 允许使用 msg.crudConfig.* 进行覆盖。\n */\nconst FALLBACK_BASE_URL = 'https://www.dev.ideas.cnpc/api/dms/well_kd_wellbore_ideas01/v1';\nconst DEFAULT_LIST_PAYLOAD = {\n version: '1.0.0',\n data: [],\n pageNo: 1,\n pageSize: 20,\n isSearchCount: true,\n};\nconst DEFAULT_CREATE_SAMPLE = {\n version: '1.0.0',\n act: -1,\n data: [\n {\n dsid: 'testid2',\n wellId: 'WELL-zzlhTEST-002',\n wellCommonName: 'zzlh测试用井名',\n wellLegalName: 'zzlh-test-01',\n wellPurpose: '开发井',\n wellType: '直井',\n dataRegion: 'ZZLH',\n projectId: 'PROJ-ZZLH-001',\n projectName: 'zzlh测试地质单元',\n orgId: 'ORG-ZZLH-01',\n orgName: 'zzlh采油厂',\n bsflag: 1,\n wellState: '生产中',\n spudDate: '2024-01-15',\n completionDate: '2024-05-20',\n prodDate: '2024-06-01',\n egl: 145.5,\n kbd: 5.2,\n kb: 150.7,\n actualXAxis: 550123.45,\n actualYAxis: 4998765.32,\n coordinateSystemName: 'zzlh测试坐标系',\n geoDescription: '位于zzlh测试区域',\n remarks: '这是一口用于系统测试的生产井。',\n createUserId: 'testuser001',\n createDate: '2025-09-12T10:00:00Z',\n updateUserId: 'testuser001',\n updateDate: '2025-09-12T10:00:00Z',\n },\n ],\n};\nconst DEFAULT_DELETE_TEMPLATE = {\n version: '1.0.0',\n data: ['{{primaryKey}}'],\n};\n\nreturn buildCrudPlan(msg, node);\n\nfunction buildCrudPlan(message, node) {\n const requestBody = getRequestBody(message);\n const crudConfig = mergeDeep({}, requestBody.crudConfig || {}, message.crudConfig || {});\n const apiDoc = normaliseOpenApi(message, crudConfig, requestBody, node);\n const operations = collectOperations(apiDoc);\n\n const listOp = pickOperation('list', operations, crudConfig);\n const createOp = pickOperation('create', operations, crudConfig);\n const deleteOp = pickOperation('delete', operations, crudConfig);\n\n if (!listOp || !createOp || !deleteOp) {\n const missing = [\n !listOp ? 'list' : null,\n !createOp ? 'create' : null,\n !deleteOp ? 'delete' : null,\n ].filter(Boolean).join(', ');\n const errMsg = `未能在 OpenAPI 文档中找到必要的 CRUD 操作：${missing}`;\n node.error(errMsg, message);\n message.error = errMsg;\n return null;\n }\n\n const resourceName = determineResourceName([createOp, listOp, deleteOp]) || 'Resource';\n const identityField = crudConfig.identityField ||\n requestBody.identityField ||\n selectIdentityField(apiDoc, crudConfig) ||\n 'dsid';\n const baseUrl = trimTrailingSlash(\n crudConfig.baseUrl ||\n requestBody.baseUrl ||\n message.baseUrl ||\n FALLBACK_BASE_URL\n );\n const headers = mergeDeep({}, requestBody.headers || {}, crudConfig.headers || {});\n\n const listConfig = mergeDeep(\n {},\n { payload: clone(DEFAULT_LIST_PAYLOAD) },\n requestBody.list || {},\n crudConfig.list || {}\n );\n const createConfig = mergeDeep(\n {},\n { payload: clone(DEFAULT_CREATE_SAMPLE) },\n requestBody.create || {},\n crudConfig.create || {}\n );\n const deleteConfig = mergeDeep(\n {},\n { payloadTemplate: clone(DEFAULT_DELETE_TEMPLATE) },\n requestBody.delete || {},\n crudConfig.delete || {}\n );\n\n if (requestBody.dataRegion) {\n headers.Dataregion = requestBody.dataRegion;\n }\n\n message.crudFlow = {\n resourceName,\n identityField,\n baseUrl,\n headers,\n list: Object.assign({\n operationId: listOp.operationId,\n method: listOp.method,\n path: listOp.path,\n }, listConfig),\n create: Object.assign({\n operationId: createOp.operationId,\n method: createOp.method,\n path: createOp.path,\n samplePayload: clone(DEFAULT_CREATE_SAMPLE),\n }, createConfig),\n delete: Object.assign({\n operationId: deleteOp.operationId,\n method: deleteOp.method,\n path: deleteOp.path,\n }, deleteConfig),\n openapi: apiDoc,\n };\n\n delete message.crudConfig;\n if (message.baseUrl) {\n delete message.baseUrl;\n }\n if (message.headers && !Object.keys(message.headers).length) {\n delete message.headers;\n }\n\n message.oas_def = apiDoc;\n delete message.error;\n return message;\n}\n\nfunction normaliseOpenApi(message, crudConfig, requestBody, node) {\n let candidate =\n crudConfig.openapi ||\n requestBody.openapi ||\n message.oas_def ||\n message.swagger ||\n message.payload;\n if (typeof candidate === 'string') {\n try {\n candidate = JSON.parse(candidate);\n } catch (err) {\n throw new Error(`OpenAPI JSON 解析失败：${err.message}`);\n }\n }\n if (!candidate || typeof candidate !== 'object') {\n throw new Error('未提供合法的 OpenAPI 文档');\n }\n if (!candidate.paths || typeof candidate.paths !== 'object' || Object.keys(candidate.paths).length === 0) {\n throw new Error('OpenAPI 文档缺少 paths 定义');\n }\n return candidate;\n}\n\nfunction collectOperations(apiDoc) {\n const operations = [];\n const allowed = ['get', 'post', 'put', 'delete', 'patch', 'options', 'head', 'trace'];\n for (const path of Object.keys(apiDoc.paths)) {\n const pathItem = apiDoc.paths[path];\n if (!pathItem || typeof pathItem !== 'object') {\n continue;\n }\n for (const method of Object.keys(pathItem)) {\n if (!allowed.includes(method.toLowerCase())) {\n continue;\n }\n const operation = pathItem[method];\n if (!operation || typeof operation !== 'object') {\n continue;\n }\n operations.push({\n operationId: operation.operationId || '',\n summary: operation.summary || '',\n description: operation.description || '',\n method: method.toUpperCase(),\n path,\n operation,\n });\n }\n }\n return operations;\n}\n\nfunction pickOperation(kind, operations, crudConfig) {\n const overrideId =\n (crudConfig[kind] && crudConfig[kind].operationId) ||\n crudConfig[`${kind}OperationId`];\n if (overrideId) {\n return operations.find(op => op.operationId === overrideId);\n }\n\n const matcher = getDefaultMatcher(kind);\n let matched = operations.find(op => matcher.test(op.operationId));\n if (matched) {\n return matched;\n }\n\n // 兜底策略\n switch (kind) {\n case 'list':\n return operations.find(op => op.method === 'GET') || null;\n case 'create':\n return operations.find(op => op.method === 'POST') || null;\n case 'delete':\n return operations.find(op => op.method === 'DELETE') ||\n operations.find(op => op.method === 'POST' && /delete/i.test(op.operationId)) ||\n null;\n default:\n return null;\n }\n}\n\nfunction getDefaultMatcher(kind) {\n switch (kind) {\n case 'list':\n return /^list[A-Z].*s$/;\n case 'create':\n return /^create[A-Z].*/;\n case 'delete':\n return /^delete[A-Z].*/;\n default:\n return /^$/;\n }\n}\n\nfunction determineResourceName(candidates) {\n for (const item of candidates) {\n const opId = item && item.operationId ? item.operationId : '';\n let match;\n if ((match = opId.match(/^list([A-Z].*)s$/))) {\n return match[1];\n }\n if ((match = opId.match(/^create([A-Z].*)$/))) {\n return match[1];\n }\n if ((match = opId.match(/^delete([A-Z].*)$/))) {\n return match[1];\n }\n }\n return null;\n}\n\nfunction selectIdentityField(apiDoc, crudConfig) {\n if (crudConfig.identityField) {\n return crudConfig.identityField;\n }\n if (apiDoc.components && apiDoc.components.schemas) {\n for (const schemaName of Object.keys(apiDoc.components.schemas)) {\n const schema = apiDoc.components.schemas[schemaName];\n if (!schema || typeof schema !== 'object') {\n continue;\n }\n const identity = Array.isArray(schema['x-dms-identityId']) ? schema['x-dms-identityId'][0] : null;\n if (identity) {\n return identity;\n }\n }\n }\n if (apiDoc.components && apiDoc.components.schemas) {\n for (const schemaName of Object.keys(apiDoc.components.schemas)) {\n const schema = apiDoc.components.schemas[schemaName];\n if (schema && schema.properties && Object.prototype.hasOwnProperty.call(schema.properties, 'dsid')) {\n return 'dsid';\n }\n }\n }\n return 'dsid';\n}\n\nfunction trimTrailingSlash(url) {\n if (!url) {\n return '';\n }\n return url.replace(/\\/+$/, '');\n}\n\nfunction getRequestBody(message) {\n if (message && message.req && message.req.body && typeof message.req.body === 'object') {\n return message.req.body;\n }\n return {};\n}\n\nfunction clone(value) {\n return value == null ? value : JSON.parse(JSON.stringify(value));\n}\n\nfunction mergeDeep(target, ...sources) {\n for (const source of sources) {\n if (!isPlainObject(source)) {\n continue;\n }\n for (const key of Object.keys(source)) {\n const value = source[key];\n if (value === undefined) {\n continue;\n }\n if (isPlainObject(value)) {\n const base = isPlainObject(target[key]) ? target[key] : {};\n target[key] = mergeDeep({}, base, value);\n } else {\n target[key] = clone(value);\n }\n }\n }\n return target;\n}\n\nfunction isPlainObject(value) {\n return Object.prototype.toString.call(value) === '[object Object]';\n}\n",
|
||
"outputs": 1,
|
||
"timeout": 0,
|
||
"noerr": 0,
|
||
"initialize": "",
|
||
"finalize": "",
|
||
"libs": [],
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"wires": [
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|
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|
||
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|
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{
|
||
"id": "76358bc84ac6e3e1",
|
||
"type": "function",
|
||
"z": "78d15f59dee4b6d8",
|
||
"name": "设置create上下文",
|
||
"func": "'use strict';\n\n/**\n * 为参数生成器 / LLM 设定目标的 operationId/path，并清理 msg.mock。\n */\n\nreturn setCreateContext(msg, node);\n\nfunction setCreateContext(message, node) {\n if (!message.crudFlow || !message.crudFlow.create) {\n const err = '缺少 crudFlow.create 配置，无法准备创建操作';\n node.error(err, message);\n message.error = err;\n return null;\n }\n\n const create = message.crudFlow.create;\n message.operationId = create.operationId;\n message.method = create.method || 'POST';\n message.path = create.path;\n message.mock = {};\n\n if (create.prompt) {\n message.prompt = create.prompt;\n }\n if (!message.oas_def && message.crudFlow.openapi) {\n message.oas_def = message.crudFlow.openapi;\n }\n\n delete message.error;\n return message;\n}\n",
|
||
"outputs": 1,
|
||
"timeout": 0,
|
||
"noerr": 0,
|
||
"initialize": "",
|
||
"finalize": "",
|
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"libs": [],
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|
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{
|
||
"id": "31d5f84e4c6f69f6",
|
||
"type": "function",
|
||
"z": "78d15f59dee4b6d8",
|
||
"name": "缓存create结果",
|
||
"func": "'use strict';\n\n/**\n * 将 LLM 生成的创建请求体写回 crudFlow，提取主键供删除步骤使用。\n */\n\nreturn storeCreateResult(msg, node);\n\nfunction storeCreateResult(message, node) {\n if (!message.crudFlow || !message.crudFlow.create) {\n return message;\n }\n\n const identityField = message.crudFlow.identityField || message.identityField || 'dsid';\n const mockBody = extractMockBody(message);\n\n if (mockBody) {\n message.crudFlow.create.payload = clone(mockBody);\n } else if (!message.crudFlow.create.payload) {\n node.warn('未从模型生成创建参数，继续使用默认样例', message);\n message.crudFlow.create.payload = clone(message.crudFlow.create.samplePayload || {});\n }\n\n const payload = message.crudFlow.create.payload || {};\n const primaryKeyValue = payload[identityField];\n if (primaryKeyValue !== undefined) {\n message.primaryKeyValue = primaryKeyValue;\n message.crudFlow.delete = message.crudFlow.delete || {};\n message.crudFlow.delete.actualKey = primaryKeyValue;\n }\n\n delete message.mock;\n delete message.mockCandidates;\n delete message.mockPrompt;\n delete message.mockSource;\n delete message.mockAutoSelected;\n delete message.llmContext;\n delete message.llmRaw;\n delete message.prompt;\n delete message.method;\n delete message.path;\n delete message.url;\n delete message.headers;\n delete message.statusCode;\n delete message.payload;\n\n return message;\n}\n\nfunction extractMockBody(message) {\n if (message && message.mock && typeof message.mock === 'object' && message.mock.body && typeof message.mock.body === 'object') {\n return message.mock.body;\n }\n if (message && message.payload && typeof message.payload === 'object' && !Array.isArray(message.payload)) {\n return message.payload;\n }\n return null;\n}\n\nfunction clone(value) {\n return value == null ? value : JSON.parse(JSON.stringify(value));\n}\n",
|
||
"outputs": 1,
|
||
"timeout": 0,
|
||
"noerr": 0,
|
||
"initialize": "",
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||
"finalize": "",
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{
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"id": "cfa3c9b06af4840e",
|
||
"type": "debug",
|
||
"z": "78d15f59dee4b6d8",
|
||
"name": "缓存结果",
|
||
"active": true,
|
||
"tosidebar": true,
|
||
"console": false,
|
||
"tostatus": false,
|
||
"complete": "payload",
|
||
"targetType": "msg",
|
||
"statusVal": "",
|
||
"statusType": "auto",
|
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{
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"id": "80da1e9b993f73dc",
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"type": "link out",
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"z": "78d15f59dee4b6d8",
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"name": "link out 1",
|
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"mode": "link",
|
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"links": [
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{
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"id": "d87dfcf0db518c75",
|
||
"type": "debug",
|
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"z": "78d15f59dee4b6d8",
|
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"name": "llm请求内容",
|
||
"active": true,
|
||
"tosidebar": true,
|
||
"console": false,
|
||
"tostatus": false,
|
||
"complete": "payload",
|
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"targetType": "msg",
|
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"statusVal": "",
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