import {z} from 'zod'

export type AiFineTuningJobCreateForm = {dryRun?: boolean | undefined, hyperparameters?: ({batchSize?: number | undefined, learningRateMultiplier?: number | undefined, nEpochs?: number | undefined}) | undefined, trainingOptions: {projectIds?: Array<number> | undefined, tmIds?: Array<number> | undefined, dateFrom?: string | undefined, dateTo?: string | undefined, maxFileSize?: number | undefined, minExamplesCount?: number | undefined, maxExamplesCount?: number | undefined}, validationOptions?: ({projectIds?: Array<number> | undefined, tmIds?: Array<number> | undefined, dateFrom?: string | undefined, dateTo?: string | undefined, maxFileSize?: number | undefined, minExamplesCount?: number | undefined, maxExamplesCount?: number | undefined}) | undefined};

export type CreateApiAiPromptsAiPromptIdFineTuningJobsArgs = {aiPromptId: number, body: AiFineTuningJobCreateForm};

export type CreateApiAiPromptsAiPromptIdFineTuningJobsOptions = {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 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
};

/**
 * Create AI Prompt Fine-Tuning Job
 * 
 * POST /ai/prompts/{aiPromptId}/fine-tuning/jobs
 */
export const createApiAiPromptsAiPromptIdFineTuningJobs = async (args: CreateApiAiPromptsAiPromptIdFineTuningJobsArgs, options?: CreateApiAiPromptsAiPromptIdFineTuningJobsOptions) => {
const {baseUrl = "https://api.crowdin.com/api/v2", fetch: fetchFn = fetch} = options ?? {}

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

const url = `${baseUrl.replace(/\/+$/, '')}/ai/prompts/${encodeURIComponent(String(args.aiPromptId))}/fine-tuning/jobs${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(aiFineTuningJobResource, await res.json())
};