import {z} from 'zod'

export type GetApiAiPromptsFineTuningJobsArgs = {statuses?: string | undefined, orderBy?: ('createdAt' | 'updatedAt' | 'startedAt' | 'finishedAt') | undefined, limit?: number | undefined, offset?: number | undefined};

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

export const aiFineTuningJob = z.object({identifier: z.string().optional(), status: z.string().optional(), progress: z.number().int().optional(), attributes: z.object({dryRun: z.boolean().optional(), aiPromptId: z.number().int().optional(), hyperparameters: z.object({batchSize: z.number().int().nullable().optional(), learningRateMultiplier: z.number().nullable().optional(), nEpochs: z.number().int().nullable().optional()}).nullable().optional(), trainingOptions: z.object({projectIds: z.array(z.number().int()).nullable().optional(), tmIds: z.array(z.number().int()).nullable().optional(), dateFrom: z.string().nullable().optional(), dateTo: z.string().nullable().optional(), maxFileSize: z.number().int().nullable().optional(), minExamplesCount: z.number().int().nullable().optional(), maxExamplesCount: z.number().int().nullable().optional()}).optional(), validationOptions: z.object({projectIds: z.array(z.number().int()).nullable().optional(), tmIds: z.array(z.number().int()).nullable().optional(), dateFrom: z.string().nullable().optional(), dateTo: z.string().nullable().optional(), maxFileSize: z.number().int().nullable().optional(), minExamplesCount: z.number().int().nullable().optional(), maxExamplesCount: z.number().int().nullable().optional()}).nullable().optional(), baseModel: z.string().nullable().optional(), fineTunedModel: z.string().nullable().optional(), trainedTokensCount: z.number().int().nullable().optional(), trainingDatasetUrl: z.string().nullable().optional(), validationDatasetUrl: z.string().nullable().optional(), metadata: z.object({cost: z.number().optional(), costCurrency: z.string().optional()}).nullable().optional()}).optional(), createdAt: z.string().optional(), updatedAt: z.string().optional(), startedAt: z.string().optional(), finishedAt: z.string().optional()});

export const aiFineTuningJobResource = z.object({data: aiFineTuningJob});

export const pagination = z.object({offset: z.number().int().optional(), limit: z.number().int().optional()});

export const aiFineTuningJobCollectionResource = z.object({data: z.array(aiFineTuningJobResource), pagination: pagination.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
};

/**
 * List AI Prompt Fine-Tuning Jobs
 * 
 * GET /ai/prompts/fine-tuning/jobs
 */
export const getApiAiPromptsFineTuningJobs = async (args: GetApiAiPromptsFineTuningJobsArgs, options?: GetApiAiPromptsFineTuningJobsOptions) => {
const {baseUrl = "https://api.crowdin.com/api/v2", fetch: fetchFn = fetch} = options ?? {}

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

if (args.statuses != null) query.append("statuses", String(args.statuses))
if (args.orderBy != null) query.append("orderBy", String(args.orderBy))
if (args.limit != null) query.append("limit", String(args.limit))
if (args.offset != null) query.append("offset", String(args.offset))

const url = `${baseUrl.replace(/\/+$/, '')}/ai/prompts/fine-tuning/jobs${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "GET", headers})

if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}})

return validateResponse(aiFineTuningJobCollectionResource, await res.json())
};