import {z} from 'zod'

export type ModelChoices = 'gpt-5-nano' | 'gpt-5.4-nano' | 'gpt-5.6-luna';

export type GetApiApiV1AiCommentArgs = {amount_of_comments?: number | undefined, context?: string | undefined, generate_images?: boolean | undefined, generate_replies?: boolean | undefined, max_reply_depth?: number | undefined, model?: ModelChoices | undefined, temperature?: number | undefined, max_tokens?: number | undefined, top_p?: number | undefined, frequency_penalty?: number | undefined, presence_penalty?: number | undefined};

export type GetApiApiV1AiCommentOptions = {baseUrl: string, fetch?: typeof fetch | undefined};

export const getApiApiV1AiCommentResponse = z.unknown();

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
};

/**
 * Get Comment
 * 
 * GET /api/v1/ai/comment
 */
export const getApiApiV1AiComment = async (args: GetApiApiV1AiCommentArgs, options: GetApiApiV1AiCommentOptions) => {
const {baseUrl, fetch: fetchFn = fetch} = options ?? {}

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

if (args.amount_of_comments != null) query.append("amount_of_comments", String(args.amount_of_comments))
if (args.context != null) query.append("context", String(args.context))
if (args.generate_images != null) query.append("generate_images", String(args.generate_images))
if (args.generate_replies != null) query.append("generate_replies", String(args.generate_replies))
if (args.max_reply_depth != null) query.append("max_reply_depth", String(args.max_reply_depth))
if (args.model != null) query.append("model", String(args.model))
if (args.temperature != null) query.append("temperature", String(args.temperature))
if (args.max_tokens != null) query.append("max_tokens", String(args.max_tokens))
if (args.top_p != null) query.append("top_p", String(args.top_p))
if (args.frequency_penalty != null) query.append("frequency_penalty", String(args.frequency_penalty))
if (args.presence_penalty != null) query.append("presence_penalty", String(args.presence_penalty))

const url = `${baseUrl.replace(/\/+$/, '')}/api/v1/ai/comment${query.size > 0 ? `?${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(getApiApiV1AiCommentResponse, await res.json())
};