import {z} from 'zod'

export type OutputTypeEnum = 'boolean' | 'categorical' | 'count' | 'discrete' | 'freeform' | 'percentage' | 'multilabel' | 'retrieved_chunk_list_boolean' | 'boolean_multilabel' | 'boolean_probability';

export type CreateLLMScorerAutogenRequest = {instructions: string, model_name: string, output_type: OutputTypeEnum, cot_enabled: boolean, scoreable_node_types: Array<string>};

export type CreateApiPublicV2ScorersLlmAutogenArgs = {body: CreateLLMScorerAutogenRequest};

export type CreateApiPublicV2ScorersLlmAutogenOptions = {baseUrl?: string | undefined, APIKeyHeader?: string | undefined, fetch?: typeof fetch | undefined};

export const generationResponse = z.object({task_result_id: z.string()});

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
};

/**
 * Autogen Llm Scorer
 * 
 * POST /public/v2/scorers/llm/autogen
 * 
 * Also accepts auth: ClassicAPIKeyHeader, OAuth2PasswordBearer, HTTPBasic
 */
export const createApiPublicV2ScorersLlmAutogen = async (args: CreateApiPublicV2ScorersLlmAutogenArgs, options?: CreateApiPublicV2ScorersLlmAutogenOptions) => {
const {baseUrl = "https://api.galileo.ai", fetch: fetchFn = fetch, APIKeyHeader} = options ?? {}

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

if (APIKeyHeader !== undefined) headers.set("Splunk-AO-API-Key", APIKeyHeader)

const url = `${baseUrl.replace(/\/+$/, '')}/public/v2/scorers/llm/autogen${query.size > 0 ? `?${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(generationResponse, await res.json())
};