import {z} from 'zod'

export type NERClassifiedExample = {text: string, entities: Array<Array<unknown>>, feedback?: ('positive' | 'negative' | null) | undefined};

export type ClassifiedExample = {text: string, label: string, feedback?: ('positive' | 'negative' | null) | undefined};

export type RecordField = {name: string, type?: string | undefined, description?: (string | null) | undefined, allowed_values?: (Array<string> | null) | undefined};

export type ConstraintRequest = {description: string, choices?: (Array<string> | null) | undefined, weights?: (Array<number> | null) | undefined, probability?: (number | null) | undefined};

export type MultiplicatorRequest = {prompt: string, choices: Array<string>};

export type SplitRatioConfig = {training?: number | undefined, evaluation?: number | undefined};

export type GenerateRequest = {task_type: 'ner' | 'classification' | 'custom' | 'decoder' | 'records' | 'fields', dataset_name: string, num_examples?: number | undefined, domain_description?: (string | null) | undefined, temperature?: number | undefined, quality?: (string | null) | undefined, generation_profile?: ('auto' | 'fast' | 'balanced' | 'quality') | undefined, session_id?: (string | null) | undefined, config_num_examples?: number | undefined, seed?: (number | null) | undefined, labels?: (Array<string> | null) | undefined, classified_examples?: (Array<NERClassifiedExample | ClassifiedExample> | null) | undefined, multi_label?: boolean | undefined, class_balance?: ({[key: string]: number} | null) | undefined, batch_size?: number | undefined, negative_ratio?: (number | null) | undefined, fields?: (Array<RecordField> | null) | undefined, input_fields?: (Array<RecordField> | null) | undefined, output_fields?: (Array<RecordField> | null) | undefined, prompt?: (string | null) | undefined, output_format?: ({[key: string]: unknown} | null) | undefined, infer_output_format?: boolean | undefined, instruction?: (string | null) | undefined, include_reasoning_trace?: boolean | undefined, reasoning_effort?: (string | null) | undefined, constraints?: (Array<ConstraintRequest> | null) | undefined, multiplicator?: (MultiplicatorRequest | null) | undefined, use_meta_synthesizer?: boolean | undefined, min_criteria?: number | undefined, target_choices?: number | undefined, project_id?: (string | null) | undefined, type?: string | undefined, visibility?: string | undefined, split_ratio?: (SplitRatioConfig | null) | undefined, output_style?: ('prose' | 'code' | 'mixed' | null) | undefined};

export type CreateApiV1GenerateArgs = {is_seed?: boolean | undefined, synthesis_session_id?: (string | null) | undefined, body: GenerateRequest};

export type CreateApiV1GenerateOptions = {baseUrl: string, ApiKeyAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const generateAsyncResponse = z.object({job_id: z.string(), status: z.string().optional(), dataset_name: z.string(), task_type: z.string(), is_seed: z.boolean().optional(), message: 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
};

/**
 * Create Generation Job
 * 
 * POST /v1/generate
 * 
 * Also accepts auth: BearerAuth
 */
export const createApiV1Generate = async (args: CreateApiV1GenerateArgs, options: CreateApiV1GenerateOptions) => {
const {baseUrl, fetch: fetchFn = fetch, ApiKeyAuth} = options ?? {}

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

if (args.is_seed != null) query.append("is_seed", String(args.is_seed))
if (args.synthesis_session_id != null) query.append("synthesis_session_id", String(args.synthesis_session_id))
if (ApiKeyAuth !== undefined) headers.set("X-API-Key", ApiKeyAuth)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/generate${query.size > 0 ? `?${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(generateAsyncResponse, await res.json())
};