import {z} from 'zod'

export type TunerSpaceInputBlock = {[key: string]: unknown};

export type TunerSpaceDSPBlock = {[key: string]: unknown};

export type TunerSpaceLearnBlock = {[key: string]: unknown};

export type TunerSpaceImpulse = {parameters?: Record<string, never> | undefined, inputBlocks: Array<TunerSpaceInputBlock>, dspBlocks: Array<TunerSpaceDSPBlock>, learnBlocks: Array<Array<TunerSpaceLearnBlock>>};

export type OptimizeConfig = {name?: string | undefined, targetLatency: number, targetDevice: {name: string, ram?: number | undefined, rom?: number | undefined}, compiler?: Array<string> | undefined, precision?: Array<string> | undefined, trainingCycles?: number | undefined, tuningMaxTrials?: number | undefined, tuningWorkers?: number | undefined, initialTrials?: number | undefined, optimizationRounds?: number | undefined, trialsPerOptimizationRound?: number | undefined, minMACCS?: number | undefined, maxMACCS?: number | undefined, tuningAlgorithm?: ('random' | 'hyperband' | 'bayesian' | 'custom') | undefined, notificationOnCompletion?: boolean | undefined, importProjectMetrics?: boolean | undefined, importResourceMetrics?: boolean | undefined, numImportProjectMetrics?: number | undefined, numImportResourceMetrics?: number | undefined, enableSEM?: boolean | undefined, accuracySEM?: number | undefined, latencySEM?: number | undefined, optimizationObjectives?: Array<{objective: string, label: string, weight: number}> | undefined, rawObjectives?: string | undefined, optimizationPrecision?: ('float32' | 'int8') | undefined, earlyStopping?: boolean | undefined, earlyStoppingWindowSize?: number | undefined, earlyStoppingImprovementBar?: number | undefined, MOMF?: boolean | undefined, verboseLogging?: boolean | undefined, disableConstraints?: boolean | undefined, disableDeduplicate?: boolean | undefined, maxTotalTrainingTime?: number | undefined, tunerChildJobMemoryMiB?: number | undefined, tunerSpaceOptions?: {[key: string]: Array<string>} | undefined, space?: Array<TunerSpaceImpulse> | undefined, searchSpaceTemplate?: ({identifier: 'speech_keyword' | 'speech_continuous' | 'audio_event' | 'audio_continuous' | 'visual' | 'motion_event' | 'motion_continuous' | 'audio_syntiant' | 'object_detection_bounding_boxes' | 'object_detection_centroids' | 'visual_ad' | 'object_detection_yolo_pro', classification?: boolean | undefined, anomaly?: boolean | undefined, regression?: boolean | undefined}) | undefined, searchSpaceSource?: ({type: 'template' | 'run' | 'impulse' | 'custom', templateTitle?: string | undefined, runTitle?: string | undefined, impulseTitle?: string | undefined}) | undefined};

export type CreateApiApiProjectIdOptimizeConfigArgs = {projectId: number, body: OptimizeConfig};

export type CreateApiApiProjectIdOptimizeConfigOptions = {baseUrl?: string | undefined, ApiKeyAuthentication?: string | undefined, fetch?: typeof fetch | undefined};

export const genericApiResponse = z.object({success: z.boolean(), error: z.string().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
};

/**
 * Update config
 * 
 * POST /api/{projectId}/optimize/config
 * 
 * Also accepts auth: JWTAuthentication, JWTHttpHeaderAuthentication, OAuth2
 */
export const createApiApiProjectIdOptimizeConfig = async (args: CreateApiApiProjectIdOptimizeConfigArgs, options?: CreateApiApiProjectIdOptimizeConfigOptions) => {
const {baseUrl = "https://studio.edgeimpulse.com/v1", fetch: fetchFn = fetch, ApiKeyAuthentication} = options ?? {}

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

if (ApiKeyAuthentication !== undefined) headers.set("x-api-key", ApiKeyAuthentication)

const url = `${baseUrl.replace(/\/+$/, '')}/api/${encodeURIComponent(String(args.projectId))}/optimize/config${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(genericApiResponse, await res.json())
};