import {z} from 'zod'

export type AiGenerateParameters = {stop_sequences?: Array<Array<number>> | undefined, bad_words_ids?: Array<Array<number>> | undefined, line_start_ids?: Array<Array<number>> | undefined, use_string?: boolean | undefined, logit_bias?: Array<Array<number>> | undefined, logit_bias_exp?: (Array<{sequence: Array<number>, bias: number, ensure_sequence_finish?: boolean | undefined, generate_once?: boolean | undefined}>) | undefined, order?: Array<number> | undefined, repetition_penalty_whitelist?: Array<number> | undefined, temperature?: number | undefined, min_length: number, max_length: number, do_sample?: boolean | undefined, early_stopping?: boolean | undefined, num_beams?: number | undefined, top_k?: number | undefined, top_a?: number | undefined, top_p?: number | undefined, typical_p?: number | undefined, repetition_penalty?: number | undefined, pad_token_id?: number | undefined, bos_token_id?: number | undefined, eos_token_id?: number | undefined, length_penalty?: number | undefined, no_repeat_ngram_size?: number | undefined, encoder_no_repeat_ngram_size?: number | undefined, num_return_sequences?: number | undefined, force_emotion: boolean, max_time?: number | undefined, use_cache?: boolean | undefined, num_beam_groups?: number | undefined, diversity_penalty?: number | undefined, tail_free_sampling?: number | undefined, repetition_penalty_range?: number | undefined, repetition_penalty_slope?: number | undefined, get_hidden_states?: boolean | undefined, repetition_penalty_frequency?: number | undefined, repetition_penalty_presence?: number | undefined, next_word?: boolean | undefined, prefix?: string | undefined, output_nonzero_probs?: boolean | undefined, generate_until_sentence?: boolean | undefined, num_logprobs?: number | undefined, cfg_uc?: string | undefined, cfg_scale?: number | undefined, cfg_alpha?: number | undefined, phrase_rep_pen?: string | undefined, top_g?: number | undefined, mirostat_tau?: number | undefined, mirostat_lr?: number | undefined};

export type AiGenerateRequest = {input: string, model: '2.7B' | '6B-v4' | 'euterpe-v2' | 'genji-python-6b' | 'genji-jp-6b' | 'genji-jp-6b-v2' | 'krake-v2' | 'hypebot' | 'infillmodel' | 'cassandra' | 'sigurd-2.9b-v1' | 'blue' | 'red' | 'green' | 'purple' | 'clio-v1' | 'kayra-v1', parameters: AiGenerateParameters};

export type CreateApiAiGenerateStreamArgs = {body: AiGenerateRequest};

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

export const aiGenerateStreamableResponse = z.object({ptr: z.number().optional(), token: z.string().optional(), final: z.boolean().optional(), error: 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
};

/**
 * POST /ai/generate-stream
 */
export const createApiAiGenerateStream = async (args: CreateApiAiGenerateStreamArgs, options: CreateApiAiGenerateStreamOptions) => {
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 = `${baseUrl.replace(/\/+$/, '')}/ai/generate-stream${query.size > 0 ? `?${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(aiGenerateStreamableResponse, await res.json())
};