import {z} from 'zod'

export type DriverSchedulingConfig = {memoryMb?: number | undefined, vcores?: number | undefined};

export type LoggingConfig = {driverLogLevels?: ({[key: string]: 'LEVEL_UNSPECIFIED' | 'ALL' | 'TRACE' | 'DEBUG' | 'INFO' | 'WARN' | 'ERROR' | 'FATAL' | 'OFF'}) | undefined};

export type FlinkJob = {args?: Array<string> | undefined, jarFileUris?: Array<string> | undefined, loggingConfig?: LoggingConfig | undefined, mainClass?: string | undefined, mainJarFileUri?: string | undefined, properties?: {[key: string]: string} | undefined, savepointUri?: string | undefined};

export type HadoopJob = {archiveUris?: Array<string> | undefined, args?: Array<string> | undefined, fileUris?: Array<string> | undefined, jarFileUris?: Array<string> | undefined, loggingConfig?: LoggingConfig | undefined, mainClass?: string | undefined, mainJarFileUri?: string | undefined, properties?: {[key: string]: string} | undefined};

export type QueryList = {queries?: Array<string> | undefined};

export type HiveJob = {continueOnFailure?: boolean | undefined, jarFileUris?: Array<string> | undefined, properties?: {[key: string]: string} | undefined, queryFileUri?: string | undefined, queryList?: QueryList | undefined, scriptVariables?: {[key: string]: string} | undefined};

export type PigJob = {continueOnFailure?: boolean | undefined, jarFileUris?: Array<string> | undefined, loggingConfig?: LoggingConfig | undefined, properties?: {[key: string]: string} | undefined, queryFileUri?: string | undefined, queryList?: QueryList | undefined, scriptVariables?: {[key: string]: string} | undefined};

export type JobPlacement = {clusterLabels?: {[key: string]: string} | undefined, clusterName?: string | undefined, clusterUuid?: string | undefined};

export type PrestoJob = {clientTags?: Array<string> | undefined, continueOnFailure?: boolean | undefined, loggingConfig?: LoggingConfig | undefined, outputFormat?: string | undefined, properties?: {[key: string]: string} | undefined, queryFileUri?: string | undefined, queryList?: QueryList | undefined};

export type PySparkJob = {archiveUris?: Array<string> | undefined, args?: Array<string> | undefined, fileUris?: Array<string> | undefined, jarFileUris?: Array<string> | undefined, loggingConfig?: LoggingConfig | undefined, mainPythonFileUri?: string | undefined, properties?: {[key: string]: string} | undefined, pythonFileUris?: Array<string> | undefined};

export type JobReference = {jobId?: string | undefined, projectId?: string | undefined};

export type JobScheduling = {maxFailuresPerHour?: number | undefined, maxFailuresTotal?: number | undefined};

export type SparkJob = {archiveUris?: Array<string> | undefined, args?: Array<string> | undefined, fileUris?: Array<string> | undefined, jarFileUris?: Array<string> | undefined, loggingConfig?: LoggingConfig | undefined, mainClass?: string | undefined, mainJarFileUri?: string | undefined, properties?: {[key: string]: string} | undefined};

export type SparkRJob = {archiveUris?: Array<string> | undefined, args?: Array<string> | undefined, fileUris?: Array<string> | undefined, loggingConfig?: LoggingConfig | undefined, mainRFileUri?: string | undefined, properties?: {[key: string]: string} | undefined};

export type SparkSqlJob = {jarFileUris?: Array<string> | undefined, loggingConfig?: LoggingConfig | undefined, properties?: {[key: string]: string} | undefined, queryFileUri?: string | undefined, queryList?: QueryList | undefined, scriptVariables?: {[key: string]: string} | undefined};

export type JobStatus = {details?: string | undefined, state?: ('STATE_UNSPECIFIED' | 'PENDING' | 'SETUP_DONE' | 'RUNNING' | 'CANCEL_PENDING' | 'CANCEL_STARTED' | 'CANCELLED' | 'DONE' | 'ERROR' | 'ATTEMPT_FAILURE') | undefined, stateStartTime?: unknown | undefined, substate?: ('UNSPECIFIED' | 'SUBMITTED' | 'QUEUED' | 'STALE_STATUS') | undefined};

export type TrinoJob = {clientTags?: Array<string> | undefined, continueOnFailure?: boolean | undefined, loggingConfig?: LoggingConfig | undefined, outputFormat?: string | undefined, properties?: {[key: string]: string} | undefined, queryFileUri?: string | undefined, queryList?: QueryList | undefined};

export type YarnApplication = {memoryMbSeconds?: unknown | undefined, name?: string | undefined, progress?: number | undefined, state?: ('STATE_UNSPECIFIED' | 'NEW' | 'NEW_SAVING' | 'SUBMITTED' | 'ACCEPTED' | 'RUNNING' | 'FINISHED' | 'FAILED' | 'KILLED') | undefined, trackingUrl?: string | undefined, vcoreSeconds?: unknown | undefined};

export type Job = {done?: boolean | undefined, driverControlFilesUri?: string | undefined, driverOutputResourceUri?: string | undefined, driverSchedulingConfig?: DriverSchedulingConfig | undefined, flinkJob?: FlinkJob | undefined, hadoopJob?: HadoopJob | undefined, hiveJob?: HiveJob | undefined, jobUuid?: string | undefined, labels?: {[key: string]: string} | undefined, pigJob?: PigJob | undefined, placement?: JobPlacement | undefined, prestoJob?: PrestoJob | undefined, pysparkJob?: PySparkJob | undefined, reference?: JobReference | undefined, scheduling?: JobScheduling | undefined, sparkJob?: SparkJob | undefined, sparkRJob?: SparkRJob | undefined, sparkSqlJob?: SparkSqlJob | undefined, status?: JobStatus | undefined, statusHistory?: Array<JobStatus> | undefined, trinoJob?: TrinoJob | undefined, yarnApplications?: Array<YarnApplication> | undefined};

export type SubmitJobRequest = {job?: Job | undefined, requestId?: string | undefined};

export type CreateApiV1ProjectsProjectIdRegionsRegionJobsSubmitArgs = {projectId: string, region: string, body: SubmitJobRequest};

export type CreateApiV1ProjectsProjectIdRegionsRegionJobsSubmitOptions = {baseUrl?: string | undefined, Oauth2?: string | undefined, Oauth2c?: string | undefined, fetch?: typeof fetch | undefined};

export const driverSchedulingConfig = z.object({memoryMb: z.number().int().optional(), vcores: z.number().int().optional()});

export const loggingConfig = z.object({driverLogLevels: z.record(z.string(), z.enum(["LEVEL_UNSPECIFIED", "ALL", "TRACE", "DEBUG", "INFO", "WARN", "ERROR", "FATAL", "OFF"])).optional()});

export const flinkJob = z.object({args: z.array(z.string()).optional(), jarFileUris: z.array(z.string()).optional(), loggingConfig: loggingConfig.optional(), mainClass: z.string().optional(), mainJarFileUri: z.string().optional(), properties: z.record(z.string(), z.string()).optional(), savepointUri: z.string().optional()});

export const hadoopJob = z.object({archiveUris: z.array(z.string()).optional(), args: z.array(z.string()).optional(), fileUris: z.array(z.string()).optional(), jarFileUris: z.array(z.string()).optional(), loggingConfig: loggingConfig.optional(), mainClass: z.string().optional(), mainJarFileUri: z.string().optional(), properties: z.record(z.string(), z.string()).optional()});

export const queryList = z.object({queries: z.array(z.string()).optional()});

export const hiveJob = z.object({continueOnFailure: z.boolean().optional(), jarFileUris: z.array(z.string()).optional(), properties: z.record(z.string(), z.string()).optional(), queryFileUri: z.string().optional(), queryList: queryList.optional(), scriptVariables: z.record(z.string(), z.string()).optional()});

export const pigJob = z.object({continueOnFailure: z.boolean().optional(), jarFileUris: z.array(z.string()).optional(), loggingConfig: loggingConfig.optional(), properties: z.record(z.string(), z.string()).optional(), queryFileUri: z.string().optional(), queryList: queryList.optional(), scriptVariables: z.record(z.string(), z.string()).optional()});

export const jobPlacement = z.object({clusterLabels: z.record(z.string(), z.string()).optional(), clusterName: z.string().optional(), clusterUuid: z.string().optional()});

export const prestoJob = z.object({clientTags: z.array(z.string()).optional(), continueOnFailure: z.boolean().optional(), loggingConfig: loggingConfig.optional(), outputFormat: z.string().optional(), properties: z.record(z.string(), z.string()).optional(), queryFileUri: z.string().optional(), queryList: queryList.optional()});

export const pySparkJob = z.object({archiveUris: z.array(z.string()).optional(), args: z.array(z.string()).optional(), fileUris: z.array(z.string()).optional(), jarFileUris: z.array(z.string()).optional(), loggingConfig: loggingConfig.optional(), mainPythonFileUri: z.string().optional(), properties: z.record(z.string(), z.string()).optional(), pythonFileUris: z.array(z.string()).optional()});

export const jobReference = z.object({jobId: z.string().optional(), projectId: z.string().optional()});

export const jobScheduling = z.object({maxFailuresPerHour: z.number().int().optional(), maxFailuresTotal: z.number().int().optional()});

export const sparkJob = z.object({archiveUris: z.array(z.string()).optional(), args: z.array(z.string()).optional(), fileUris: z.array(z.string()).optional(), jarFileUris: z.array(z.string()).optional(), loggingConfig: loggingConfig.optional(), mainClass: z.string().optional(), mainJarFileUri: z.string().optional(), properties: z.record(z.string(), z.string()).optional()});

export const sparkRJob = z.object({archiveUris: z.array(z.string()).optional(), args: z.array(z.string()).optional(), fileUris: z.array(z.string()).optional(), loggingConfig: loggingConfig.optional(), mainRFileUri: z.string().optional(), properties: z.record(z.string(), z.string()).optional()});

export const sparkSqlJob = z.object({jarFileUris: z.array(z.string()).optional(), loggingConfig: loggingConfig.optional(), properties: z.record(z.string(), z.string()).optional(), queryFileUri: z.string().optional(), queryList: queryList.optional(), scriptVariables: z.record(z.string(), z.string()).optional()});

export const jobStatus = z.object({details: z.string().optional(), state: z.enum(["STATE_UNSPECIFIED", "PENDING", "SETUP_DONE", "RUNNING", "CANCEL_PENDING", "CANCEL_STARTED", "CANCELLED", "DONE", "ERROR", "ATTEMPT_FAILURE"]).optional(), stateStartTime: z.string().optional(), substate: z.enum(["UNSPECIFIED", "SUBMITTED", "QUEUED", "STALE_STATUS"]).optional()});

export const trinoJob = z.object({clientTags: z.array(z.string()).optional(), continueOnFailure: z.boolean().optional(), loggingConfig: loggingConfig.optional(), outputFormat: z.string().optional(), properties: z.record(z.string(), z.string()).optional(), queryFileUri: z.string().optional(), queryList: queryList.optional()});

export const yarnApplication = z.object({memoryMbSeconds: z.string().optional(), name: z.string().optional(), progress: z.number().optional(), state: z.enum(["STATE_UNSPECIFIED", "NEW", "NEW_SAVING", "SUBMITTED", "ACCEPTED", "RUNNING", "FINISHED", "FAILED", "KILLED"]).optional(), trackingUrl: z.string().optional(), vcoreSeconds: z.string().optional()});

export const job = z.object({done: z.boolean().optional(), driverControlFilesUri: z.string().optional(), driverOutputResourceUri: z.string().optional(), driverSchedulingConfig: driverSchedulingConfig.optional(), flinkJob: flinkJob.optional(), hadoopJob: hadoopJob.optional(), hiveJob: hiveJob.optional(), jobUuid: z.string().optional(), labels: z.record(z.string(), z.string()).optional(), pigJob: pigJob.optional(), placement: jobPlacement.optional(), prestoJob: prestoJob.optional(), pysparkJob: pySparkJob.optional(), reference: jobReference.optional(), scheduling: jobScheduling.optional(), sparkJob: sparkJob.optional(), sparkRJob: sparkRJob.optional(), sparkSqlJob: sparkSqlJob.optional(), status: jobStatus.optional(), statusHistory: z.array(jobStatus).optional(), trinoJob: trinoJob.optional(), yarnApplications: z.array(yarnApplication).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
};

/**
 * Submits a job to a cluster.
 * 
 * POST /v1/projects/{projectId}/regions/{region}/jobs:submit
 * 
 * Also accepts auth: Oauth2 + Oauth2c
 */
export const createApiV1ProjectsProjectIdRegionsRegionJobsSubmit = async (args: CreateApiV1ProjectsProjectIdRegionsRegionJobsSubmitArgs, options?: CreateApiV1ProjectsProjectIdRegionsRegionJobsSubmitOptions) => {
const {baseUrl = "https://dataproc.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/${encodeURIComponent(String(args.projectId))}/regions/${encodeURIComponent(String(args.region))}/jobs:submit${query.size > 0 ? `?${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(job, await res.json())
};