import {z} from 'zod'

export type CreateApiAdminSettingBatchTestLlmArgs = {body: {providers?: (Array<{type: 'openai' | 'anthropic' | 'google' | 'azure' | 'cohere' | 'mistral' | 'deepseek' | 'qwen' | 'zhipu' | 'lingyiwanwu' | 'xai' | 'togetherai' | 'ollama' | 'amazonBedrock' | 'openRouter' | 'openaiCompatible' | 'aiGateway', name: string, apiKey: string, baseUrl: string, models?: string | undefined, isInstance: boolean}>) | undefined}};

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

export const createApiAdminSettingBatchTestLlmResponse = z.object({totalModels: z.number(), testedModels: z.number(), successCount: z.number(), failedCount: z.number(), results: z.array(z.object({modelKey: z.string(), providerName: z.string(), providerType: z.enum(["openai", "anthropic", "google", "azure", "cohere", "mistral", "deepseek", "qwen", "zhipu", "lingyiwanwu", "xai", "togetherai", "ollama", "amazonBedrock", "openRouter", "openaiCompatible", "aiGateway"]), model: z.string(), success: z.boolean(), error: z.string().optional(), ability: z.object({image: z.union([z.boolean(), z.object({url: z.boolean().optional(), base64: z.boolean().optional()})]).optional(), pdf: z.union([z.boolean(), z.object({url: z.boolean().optional(), base64: z.boolean().optional()})]).optional(), webSearch: z.boolean().optional(), toolCall: z.boolean().optional(), reasoning: z.boolean().optional(), imageGeneration: z.boolean().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
};

/**
 * Batch test all configured LLM models to verify compatibility with AI field features
 * 
 * POST /admin/setting/batch-test-llm
 */
export const createApiAdminSettingBatchTestLlm = async (args: CreateApiAdminSettingBatchTestLlmArgs, options?: CreateApiAdminSettingBatchTestLlmOptions) => {
const {baseUrl = "https://app.teable.ai/api", 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 = `${baseUrl.replace(/\/+$/, '')}/admin/setting/batch-test-llm${query.size > 0 ? `?${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(createApiAdminSettingBatchTestLlmResponse, await res.json())
};