import {z} from 'zod'

export type GetApiBaseIdAiConfigArgs = {baseId: string};

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

export const getApiBaseIdAiConfigResponse = z.object({llmProviders: z.array(z.object({type: z.enum(["openai", "anthropic", "google", "azure", "cohere", "mistral", "deepseek", "qwen", "zhipu", "lingyiwanwu", "xai", "togetherai", "ollama", "amazonBedrock", "openRouter", "openaiCompatible", "aiGateway"]), name: z.string(), apiKey: z.string().optional(), baseUrl: z.string().optional(), models: z.string().optional(), isInstance: z.boolean().optional(), modelConfigs: z.record(z.string(), z.object({label: z.string().optional(), pricing: z.object({input: z.string().optional(), output: z.string().optional(), inputCacheRead: z.string().optional(), inputCacheWrite: z.string().optional(), reasoning: z.string().optional(), image: z.string().optional(), webSearch: z.string().optional()}).optional(), inputRate: z.number().gte(0).optional(), outputRate: z.number().gte(0).optional(), cacheReadRate: z.number().gte(0).optional(), cacheWriteRate: z.number().gte(0).optional(), reasoningRate: z.number().gte(0).optional(), imageRate: z.number().gte(0).optional(), webSearchRate: z.number().gte(0).optional(), isImageModel: z.boolean().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(), imageAbility: z.object({generation: z.boolean().optional(), imageToImage: z.boolean().optional()}).optional(), testedAt: z.number().optional(), ownedBy: z.enum(["alibaba", "amazon", "anthropic", "arcee-ai", "bfl", "bytedance", "cohere", "deepseek", "google", "inception", "kwaipilot", "meituan", "meta", "minimax", "mistral", "moonshotai", "morph", "nvidia", "openai", "perplexity", "prime-intellect", "stealth", "vercel", "voyage", "xai", "xiaomi", "zai"]).optional(), modelType: z.enum(["language", "embedding", "image"]).optional(), tags: z.array(z.enum(["reasoning", "tool-use", "vision", "file-input", "image-generation", "implicit-caching"])).optional(), contextWindow: z.number().optional(), maxTokens: z.number().optional(), description: z.string().optional()})).optional()})).optional(), embeddingModel: z.string().optional(), translationModel: z.string().optional(), gatewayModels: z.array(z.object({id: z.string(), label: z.string(), enabled: z.boolean().optional(), capabilities: 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(), pricing: z.object({input: z.string().optional(), output: z.string().optional(), inputCacheRead: z.string().optional(), inputCacheWrite: z.string().optional(), reasoning: z.string().optional(), image: z.string().optional(), webSearch: z.string().optional()}).optional(), rates: z.object({inputRate: z.number().gte(0).optional(), outputRate: z.number().gte(0).optional(), cacheReadRate: z.number().gte(0).optional(), cacheWriteRate: z.number().gte(0).optional(), reasoningRate: z.number().gte(0).optional(), imageRate: z.number().gte(0).optional(), webSearchRate: z.number().gte(0).optional()}).optional(), isImageModel: z.boolean().optional(), defaultFor: z.array(z.enum(["chatLg", "chatMd", "chatSm", "aiFieldText", "aiFieldImage"])).optional(), testedAt: z.number().optional(), ownedBy: z.enum(["alibaba", "amazon", "anthropic", "arcee-ai", "bfl", "bytedance", "cohere", "deepseek", "google", "inception", "kwaipilot", "meituan", "meta", "minimax", "mistral", "moonshotai", "morph", "nvidia", "openai", "perplexity", "prime-intellect", "stealth", "vercel", "voyage", "xai", "xiaomi", "zai"]).optional(), modelType: z.enum(["language", "embedding", "image"]).optional(), tags: z.array(z.enum(["reasoning", "tool-use", "vision", "file-input", "image-generation", "implicit-caching"])).optional(), contextWindow: z.number().optional(), maxTokens: z.number().optional(), description: z.string().optional()})).optional(), capabilities: z.object({disableActions: z.array(z.string()).optional()}).optional(), aiGatewayApiKey: z.string().optional(), aiGatewayBaseUrl: z.string().optional(), attachmentTest: z.object({urlMode: z.object({success: z.boolean(), errorMessage: z.string().optional()}).optional(), base64Mode: z.object({success: z.boolean(), errorMessage: z.string().optional()}).optional(), testedAt: z.string().optional(), testedOrigin: z.string().optional(), recommendedMode: z.enum(["url", "base64"]).optional()}).optional(), attachmentTransferMode: z.enum(["url", "base64"]).optional(), aiGatewayApiKeys: z.array(z.string()).optional(), vertexByokCredential: z.object({project: z.string(), location: z.string(), googleCredentials: z.object({privateKey: z.string(), clientEmail: z.string()})}).optional(), concurrencyGroups: z.array(z.object({id: z.string(), name: z.string(), taskTypes: z.array(z.enum(["text", "image"])).optional(), keys: z.array(z.object({apiKey: z.string(), status: z.enum(["verified", "untested", "error"]).optional()})).optional(), perKey: z.number().gte(1).lte(100).optional()})).optional(), concurrencyPerKey: z.number().gte(1).lte(100).optional(), modelDefinationMap: z.record(z.string(), z.union([z.object({inputRate: z.number(), outputRate: z.number(), visionEnable: z.boolean().optional(), audioEnable: z.boolean().optional(), videoEnable: z.boolean().optional(), deepThinkEnable: z.boolean().optional()}), z.object({usagePerUnit: z.number(), outputType: z.enum(["image", "audio", "video"])})])).optional(), chatModel: z.object({lg: z.string().optional(), md: z.string().optional(), sm: 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(), tags: z.array(z.enum(["reasoning", "tool-use", "vision", "file-input", "image-generation", "implicit-caching"])).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
};

/**
 * Get the configuration of ai, including instance and space configuration
 * 
 * GET /{baseId}/ai/config
 */
export const getApiBaseIdAiConfig = async (args: GetApiBaseIdAiConfigArgs, options?: GetApiBaseIdAiConfigOptions) => {
const {baseUrl = "https://app.teable.ai/api", fetch: fetchFn = fetch, bearerAuth} = options ?? {}

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

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

const url = `${baseUrl.replace(/\/+$/, '')}/${encodeURIComponent(String(args.baseId))}/ai/config${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(getApiBaseIdAiConfigResponse, await res.json())
};