import {z} from 'zod'

export type CreateApiV1betaModelsModelGenerateContentArgs = {model: string, body: {contents: Array<{role?: ('user' | 'model') | undefined, parts?: (Array<{text?: string | undefined, inline_data?: ({mime_type?: ('image/jpeg' | 'image/png' | 'image/webp') | undefined, data?: string | undefined}) | undefined}>) | undefined}>, generationConfig?: ({responseModalities?: (Array<'TEXT' | 'IMAGE'>) | undefined, imageConfig?: ({aspectRatio?: string | undefined, imageSize?: ('512px' | '1K' | '2K' | '4K') | undefined}) | undefined, thinkingConfig?: ({thinkingLevel?: ('minimal' | 'high') | undefined, includeThoughts?: boolean | undefined}) | undefined}) | undefined, tools?: (Array<{google_search?: Record<string, never> | undefined}>) | undefined}};

export type CreateApiV1betaModelsModelGenerateContentOptions = {baseUrl?: string | undefined, bearerAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const createApiV1betaModelsModelGenerateContentResponse = z.object({candidates: z.array(z.object({content: z.object({role: z.string().optional(), parts: z.array(z.object({text: z.string().optional(), inlineData: z.object({mimeType: z.string().optional(), data: z.string().optional()}).optional()})).optional()}).optional(), finishReason: z.enum(["STOP", "MAX_TOKENS", "SAFETY", "RECITATION"]).optional(), index: z.number().int().optional(), safetyRatings: z.array(z.object({category: z.string().optional(), probability: z.string().optional()})).optional()})).optional(), usageMetadata: z.object({promptTokenCount: z.number().int().optional(), candidatesTokenCount: z.number().int().optional(), totalTokenCount: z.number().int().optional(), thoughtsTokenCount: z.number().int().optional()}).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
};

/**
 * Gemini Image Generation
 * 
 * POST /v1beta/models/{model}:generateContent
 */
export const createApiV1betaModelsModelGenerateContent = async (args: CreateApiV1betaModelsModelGenerateContentArgs, options?: CreateApiV1betaModelsModelGenerateContentOptions) => {
const {baseUrl = "https://api.deerapi.com", fetch: fetchFn = fetch, bearerAuth} = options ?? {}

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

if (bearerAuth !== undefined) headers.set('authorization', `Bearer ${bearerAuth}`)

const url = `${baseUrl.replace(/\/+$/, '')}/v1beta/models/${encodeURIComponent(String(args.model))}:generateContent${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(createApiV1betaModelsModelGenerateContentResponse, await res.json())
};