@grafana/runtime/dist/esm/utils/queryResponse.mjs.map

Grafana Runtime Library

{"version":3,"file":"queryResponse.mjs","sources":["../../../src/utils/queryResponse.ts"],"sourcesContent":["import {\n  DataQueryResponse,\n  KeyValue,\n  LoadingState,\n  DataQueryError,\n  TimeSeries,\n  TableData,\n  toDataFrame,\n  DataFrame,\n  MetricFindValue,\n  FieldType,\n  DataQuery,\n  DataFrameJSON,\n  dataFrameFromJSON,\n  QueryResultMetaNotice,\n} from '@grafana/data';\n\nimport { FetchError, FetchResponse } from '../services';\n\nimport { HealthCheckResultDetails } from './DataSourceWithBackend';\nimport { toDataQueryError } from './toDataQueryError';\n\nexport const cachedResponseNotice: QueryResultMetaNotice = { severity: 'info', text: 'Cached response' };\n\n/**\n * Single response object from a backend data source. Properties are optional but response should contain at least\n * an error or a some data (but can contain both). Main way to send data is with dataframes attribute as series and\n * tables data attributes are legacy formats.\n *\n * @internal\n */\nexport interface DataResponse {\n  error?: string;\n  refId?: string;\n  frames?: DataFrameJSON[];\n  status?: number;\n\n  // Legacy TSDB format...\n  series?: TimeSeries[];\n  tables?: TableData[];\n}\n\n/**\n * This is the type of response expected form backend datasource.\n *\n * @internal\n */\nexport interface BackendDataSourceResponse {\n  results: KeyValue<DataResponse>;\n}\n\n/**\n * Parse the results from /api/ds/query into a DataQueryResponse\n *\n * @param res - the HTTP response data.\n * @param queries - optional DataQuery array that will order the response based on the order of query refId's.\n *\n * @public\n */\nexport function toDataQueryResponse(\n  res:\n    | { data: BackendDataSourceResponse | undefined }\n    | FetchResponse<BackendDataSourceResponse | undefined>\n    | DataQueryError,\n  queries?: DataQuery[]\n): DataQueryResponse {\n  const rsp: DataQueryResponse = { data: [], state: LoadingState.Done };\n\n  const traceId = 'traceId' in res ? res.traceId : undefined;\n\n  if (traceId != null) {\n    rsp.traceIds = [traceId];\n  }\n\n  // If the response isn't in a correct shape we just ignore the data and pass empty DataQueryResponse.\n  const fetchResponse = res as FetchResponse;\n  if (fetchResponse.data?.results) {\n    const results = fetchResponse.data.results;\n    const refIDs = queries?.length ? queries.map((q) => q.refId) : Object.keys(results);\n    const cachedResponse = isCachedResponse(fetchResponse);\n    const data: DataResponse[] = [];\n\n    for (const refId of refIDs) {\n      const dr = results[refId];\n      if (!dr) {\n        continue;\n      }\n      dr.refId = refId;\n      data.push(dr);\n    }\n\n    for (const dr of data) {\n      if (dr.error) {\n        const errorObj: DataQueryError = {\n          refId: dr.refId,\n          message: dr.error,\n          status: dr.status,\n        };\n        if (traceId != null) {\n          errorObj.traceId = traceId;\n        }\n        if (!rsp.error) {\n          rsp.error = { ...errorObj };\n        }\n        if (rsp.errors) {\n          rsp.errors.push({ ...errorObj });\n        } else {\n          rsp.errors = [{ ...errorObj }];\n        }\n        rsp.state = LoadingState.Error;\n      }\n\n      if (dr.frames?.length) {\n        for (let js of dr.frames) {\n          if (cachedResponse) {\n            js = addCacheNotice(js);\n          }\n          const df = dataFrameFromJSON(js);\n          if (!df.refId) {\n            df.refId = dr.refId;\n          }\n          rsp.data.push(df);\n        }\n        continue; // the other tests are legacy\n      }\n\n      if (dr.series?.length) {\n        for (const s of dr.series) {\n          if (!s.refId) {\n            s.refId = dr.refId;\n          }\n          rsp.data.push(toDataFrame(s));\n        }\n      }\n\n      if (dr.tables?.length) {\n        for (const s of dr.tables) {\n          if (!s.refId) {\n            s.refId = dr.refId;\n          }\n          rsp.data.push(toDataFrame(s));\n        }\n      }\n    }\n  }\n\n  // When it is not an OK response, make sure the error gets added\n  if (fetchResponse.status && fetchResponse.status !== 200) {\n    if (rsp.state !== LoadingState.Error) {\n      rsp.state = LoadingState.Error;\n    }\n    if (!rsp.error) {\n      rsp.error = toDataQueryError(res);\n    }\n  }\n\n  return rsp;\n}\n\nfunction isCachedResponse(res: FetchResponse<BackendDataSourceResponse | undefined>): boolean {\n  const headers = res?.headers;\n  if (!headers || !headers.get) {\n    return false;\n  }\n  return headers.get('X-Cache') === 'HIT';\n}\n\nfunction addCacheNotice(frame: DataFrameJSON): DataFrameJSON {\n  return {\n    ...frame,\n    schema: {\n      ...frame.schema,\n      fields: [...(frame.schema?.fields ?? [])],\n      meta: {\n        ...frame.schema?.meta,\n        notices: [...(frame.schema?.meta?.notices ?? []), cachedResponseNotice],\n        isCachedResponse: true,\n      },\n    },\n  };\n}\n\nexport interface TestingStatus {\n  message?: string | null;\n  status?: string | null;\n  details?: HealthCheckResultDetails;\n}\n\n/**\n * Data sources using api/ds/query to test data sources can use this function to\n * handle errors and convert them to TestingStatus object.\n *\n * If possible, this should be avoided in favor of implementing /health endpoint\n * and testing data source with DataSourceWithBackend.testDataSource()\n *\n * Re-thrown errors are handled by testDataSource() in public/app/features/datasources/state/actions.ts\n *\n * @returns {TestingStatus}\n */\nexport function toTestingStatus(err: FetchError): TestingStatus {\n  const queryResponse = toDataQueryResponse(err);\n  // POST api/ds/query errors returned as { message: string, error: string } objects\n  if (queryResponse.error?.data?.message) {\n    return {\n      status: 'error',\n      message: queryResponse.error.data.message,\n      details: queryResponse.error?.data?.error ? { message: queryResponse.error.data.error } : undefined,\n    };\n  }\n  // POST api/ds/query errors returned in results object\n  else if (queryResponse.error?.refId && queryResponse.error?.message) {\n    return {\n      status: 'error',\n      message: queryResponse.error.message,\n    };\n  }\n\n  throw err;\n}\n\n/**\n * Return the first string or non-time field as the value\n *\n * @beta\n */\nexport function frameToMetricFindValue(frame: DataFrame): MetricFindValue[] {\n  if (!frame || !frame.length) {\n    return [];\n  }\n\n  const values: MetricFindValue[] = [];\n  let field = frame.fields.find((f) => f.type === FieldType.string);\n  if (!field) {\n    field = frame.fields.find((f) => f.type !== FieldType.time);\n  }\n  if (field) {\n    for (let i = 0; i < field.values.length; i++) {\n      values.push({ text: '' + field.values[i] });\n    }\n  }\n  return 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