import {z} from 'zod'

export type PublicColumnMappingDto = {prompt?: string | undefined, completion?: string | undefined, chat?: string | undefined, context?: Array<string> | undefined, universal_prompt?: string | undefined, image?: string | undefined};

export type RecipeOptionsDto = {prompt_rephrase?: boolean | undefined, deduplication?: boolean | undefined, reasoning_traces?: boolean | undefined};

export type PublicRecipeSpecDto = {version?: string | undefined, recipes?: RecipeOptionsDto | undefined};

export type PublicJobSpecDto = {max_rows?: number | undefined, idempotency_key?: string | undefined};

export type PublicBrandControlsDto = {length?: ('minimal' | 'concise' | 'detailed' | 'extensive') | undefined, safety_categories?: Array<string> | undefined, hallucination_mitigation?: boolean | undefined, blueprint?: string | undefined};

export type PublicTranslateTargetsDto = {languages: Array<string>, sample_rate: number};

export type PublicCountryLanguagePairDto = {country: string, language: string};

export type PublicLocalizeTargetsDto = {pairs: Array<PublicCountryLanguagePairDto>, sample_rate: number};

export type PublicAdaptExpandDto = {similar_rows?: number | undefined, domain_rows?: number | undefined, general_rows?: number | undefined};

export type PublicLanguageExpansionSpecDto = {type: 'translate' | 'localize', languages?: Array<string> | undefined, pairs?: Array<PublicCountryLanguagePairDto> | undefined, sample_rate: number};

export type PublicLaunchDto = {column_mapping?: PublicColumnMappingDto | undefined, recipe_specification?: PublicRecipeSpecDto | undefined, job_specification?: PublicJobSpecDto | undefined, brand_controls?: PublicBrandControlsDto | undefined, training_type?: ('instruction_dataset' | 'preference_pairs') | undefined, estimate?: boolean | undefined, translate?: PublicTranslateTargetsDto | undefined, localize?: PublicLocalizeTargetsDto | undefined, expand?: PublicAdaptExpandDto | undefined, language_expansion?: (PublicLanguageExpansionSpecDto | null) | undefined};

export type CreateApiApiV1DatasetsDatasetIdRunArgs = {dataset_id: string, body: PublicLaunchDto};

export type CreateApiApiV1DatasetsDatasetIdRunOptions = {baseUrl: string, bearer?: string | undefined, fetch?: typeof fetch | undefined};

export const publicLaunchResponseDto = z.object({run_id: z.string().nullable().optional(), estimatedMinutes: z.number(), estimatedCreditsConsumed: z.number(), estimate: z.boolean(), multimodalPricingApplied: z.boolean(), creditMultiplier: z.number().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
};

/**
 * Adapt a dataset (deprecated)
 * 
 * POST /api/v1/datasets/{dataset_id}/run
 */
export const createApiApiV1DatasetsDatasetIdRun = async (args: CreateApiApiV1DatasetsDatasetIdRunArgs, options: CreateApiApiV1DatasetsDatasetIdRunOptions) => {
const {baseUrl, fetch: fetchFn = fetch, bearer} = options ?? {}

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

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

const url = `${baseUrl.replace(/\/+$/, '')}/api/v1/datasets/${encodeURIComponent(String(args.dataset_id))}/run${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(publicLaunchResponseDto, await res.json())
};