import {z} from 'zod' export type TelemetrySpanReference = {trace_id: string, span_id: string}; export type SpanDatasetSourceNamespace = 'span_attributes' | 'resource_attributes'; export type SpanDatasetSourceReference = {namespace: SpanDatasetSourceNamespace, key: string}; export type SpanDatasetMapping = {target_field: string, source_field: SpanDatasetSourceReference}; export type SpanDatasetMappingContract = {version: 1, mappings: Array}; export type ImportDatasetFromSpansRequest = {span_references: Array, mapping_contract: SpanDatasetMappingContract}; export type CreateApiV1ObservabilityDatasetsDatasetIdImportsFromSpansArgs = {dataset_id: string, body: ImportDatasetFromSpansRequest}; export type CreateApiV1ObservabilityDatasetsDatasetIdImportsFromSpansOptions = {baseUrl?: string | undefined, ApiKey?: string | undefined, fetch?: typeof fetch | undefined}; export const baseTaskStatus = z.enum(["RUNNING", "COMPLETED", "FAILED", "CANCELED", "TERMINATED", "CONTINUED_AS_NEW", "TIMED_OUT", "UNKNOWN"]); export const datasetImportResult = z.object({requested_record_count: z.number().int().gte(0), imported_record_count: z.number().int().gte(0), skipped_record_count: z.number().int().gte(0)}); export const datasetImportTask = z.object({id: z.string(), created_at: z.string(), updated_at: z.string(), deleted_at: z.string().nullable(), creator_id: z.string(), dataset_id: z.string(), workspace_id: z.string(), status: baseTaskStatus, progress: z.number().int().gte(0).lte(100).nullable().optional(), message: z.string().nullable().optional(), result: datasetImportResult.nullable().optional()}); export const validateResponse = async ( schema: { readonly '~standard': { readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }> } }, value: unknown ): Promise => { const result = await schema['~standard'].validate(value) if (result.issues !== undefined) { const detail = result.issues .map(({ message, path }) => path?.length ? `${path.map((segment) => String(typeof segment === 'object' ? segment.key : segment)).join('.')}: ${message}` : message ) .join('; ') throw new Error(`Response does not match the schema: ${detail}`, { cause: { issues: result.issues } }) } return result.value }; /** * Populate the dataset with records mapped from telemetry spans * * POST /v1/observability/datasets/{dataset_id}/imports/from-spans */ export const createApiV1ObservabilityDatasetsDatasetIdImportsFromSpans = async (args: CreateApiV1ObservabilityDatasetsDatasetIdImportsFromSpansArgs, options?: CreateApiV1ObservabilityDatasetsDatasetIdImportsFromSpansOptions) => { const {baseUrl = "https://api.mistral.ai", fetch: fetchFn = fetch, ApiKey} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") if (ApiKey !== undefined) headers.set('authorization', `Bearer ${ApiKey}`) const url = `${baseUrl.replace(/\/+$/, '')}/v1/observability/datasets/${encodeURIComponent(String(args.dataset_id))}/imports/from-spans${query.size > 0 ? `?${query}` : ''}` const res = await fetchFn(url, {method: "POST", headers, body: JSON.stringify(args.body)}) if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}}) return validateResponse(datasetImportTask, await res.json()) };