import {z} from 'zod'

export type GoogleCloudAiplatformV1FeatureStatsAnomaly = {anomalyDetectionThreshold?: number | undefined, anomalyUri?: string | undefined, distributionDeviation?: number | undefined, endTime?: unknown | undefined, score?: number | undefined, startTime?: unknown | undefined, statsUri?: string | undefined};

export type GoogleCloudAiplatformV1FeatureMonitoringStatsAnomaly = {featureStatsAnomaly?: GoogleCloudAiplatformV1FeatureStatsAnomaly | undefined, objective?: ('OBJECTIVE_UNSPECIFIED' | 'IMPORT_FEATURE_ANALYSIS' | 'SNAPSHOT_ANALYSIS') | undefined};

export type GoogleCloudAiplatformV1Feature = {createTime?: unknown | undefined, description?: string | undefined, disableMonitoring?: boolean | undefined, etag?: string | undefined, labels?: {[key: string]: string} | undefined, monitoringStatsAnomalies?: Array<GoogleCloudAiplatformV1FeatureMonitoringStatsAnomaly> | undefined, name?: string | undefined, pointOfContact?: string | undefined, updateTime?: unknown | undefined, valueType?: ('VALUE_TYPE_UNSPECIFIED' | 'BOOL' | 'BOOL_ARRAY' | 'DOUBLE' | 'DOUBLE_ARRAY' | 'INT64' | 'INT64_ARRAY' | 'STRING' | 'STRING_ARRAY' | 'BYTES' | 'STRUCT') | undefined, versionColumnName?: string | undefined};

export type GoogleCloudAiplatformV1CreateFeatureRequest = {feature?: GoogleCloudAiplatformV1Feature | undefined, featureId?: string | undefined, parent?: string | undefined};

export type GoogleCloudAiplatformV1BatchCreateFeaturesRequest = {requests?: Array<GoogleCloudAiplatformV1CreateFeatureRequest> | undefined};

export type CreateApiV1ProjectsProjectsIdLocationsLocationsIdFeatureGroupsFeatureGroupsIdFeaturesBatchCreateArgs = {projectsId: string, locationsId: string, featureGroupsId: string, body: GoogleCloudAiplatformV1BatchCreateFeaturesRequest};

export type CreateApiV1ProjectsProjectsIdLocationsLocationsIdFeatureGroupsFeatureGroupsIdFeaturesBatchCreateOptions = {baseUrl?: string | undefined, Oauth2?: string | undefined, Oauth2c?: string | undefined, fetch?: typeof fetch | undefined};

export const googleRpcStatus = z.object({code: z.number().int().optional(), details: z.array(z.record(z.string(), z.unknown())).optional(), message: z.string().optional()});

export const googleLongrunningOperation = z.object({done: z.boolean().optional(), error: googleRpcStatus.optional(), metadata: z.record(z.string(), z.unknown()).optional(), name: z.string().optional(), response: z.record(z.string(), z.unknown()).optional()});

export const validateResponse = async <Output>(
  schema: {
    readonly '~standard': {
      readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }>
    }
  },
  value: unknown
): Promise<Output> => {
  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
};

/**
 * Creates a batch of Features in a given FeatureGroup.
 * 
 * POST /v1/projects/{projectsId}/locations/{locationsId}/featureGroups/{featureGroupsId}/features:batchCreate
 */
export const createApiV1ProjectsProjectsIdLocationsLocationsIdFeatureGroupsFeatureGroupsIdFeaturesBatchCreate = async (args: CreateApiV1ProjectsProjectsIdLocationsLocationsIdFeatureGroupsFeatureGroupsIdFeaturesBatchCreateArgs, options?: CreateApiV1ProjectsProjectsIdLocationsLocationsIdFeatureGroupsFeatureGroupsIdFeaturesBatchCreateOptions) => {
const {baseUrl = "https://aiplatform.googleapis.com", fetch: fetchFn = fetch, Oauth2, Oauth2c} = options ?? {}

const query = new URLSearchParams()
const headers = new Headers()
headers.set('content-type', "application/json")
headers.set('accept', "application/json")

if (Oauth2 !== undefined) headers.set('authorization', `Bearer ${Oauth2}`)
if (Oauth2c !== undefined) headers.set('authorization', `Bearer ${Oauth2c}`)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/projects/${encodeURIComponent(String(args.projectsId))}/locations/${encodeURIComponent(String(args.locationsId))}/featureGroups/${encodeURIComponent(String(args.featureGroupsId))}/features:batchCreate${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(googleLongrunningOperation, await res.json())
};