import {z} from 'zod'

export type ModelProvider = 'openai' | 'azure' | 'anthropic' | 'bedrock' | 'cohere' | 'vertex' | 'vllm' | 'mistral' | 'ollama' | 'groq' | 'sgl' | 'parasail' | 'perplexity' | 'replicate' | 'cerebras' | 'deepseek' | 'gemini' | 'openrouter' | 'elevenlabs' | 'huggingface' | 'nebius' | 'xai' | 'runway' | 'fireworks';

export type GetApiV1ModelsArgs = {provider?: ModelProvider | undefined, page_size?: number | undefined, page_token?: string | undefined};

export type GetApiV1ModelsOptions = {baseUrl?: string | undefined, BearerAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const model = z.object({id: z.string().optional(), canonical_slug: z.string().optional(), name: z.string().optional(), normalized_name: z.string().optional(), deployment: z.string().optional(), created: z.number().int().optional(), context_length: z.number().int().optional(), max_input_tokens: z.number().int().optional(), max_output_tokens: z.number().int().optional(), architecture: z.object({modality: z.string().optional(), tokenizer: z.string().optional(), instruct_type: z.string().optional(), input_modalities: z.array(z.string()).optional(), output_modalities: z.array(z.string()).optional()}).optional(), pricing: z.object({prompt: z.string().optional(), completion: z.string().optional(), request: z.string().optional(), image: z.string().optional(), web_search: z.string().optional(), internal_reasoning: z.string().optional(), input_cache_read: z.string().optional(), input_cache_write: z.string().optional()}).optional(), top_provider: z.object({is_moderated: z.boolean().optional(), context_length: z.number().int().optional(), max_completion_tokens: z.number().int().optional()}).optional(), per_request_limits: z.object({prompt_tokens: z.number().int().optional(), completion_tokens: z.number().int().optional()}).optional(), supported_parameters: z.array(z.string()).optional(), default_parameters: z.object({temperature: z.number().optional(), top_p: z.number().optional(), frequency_penalty: z.number().optional()}).optional(), hugging_face_id: z.string().optional(), description: z.string().optional(), owned_by: z.string().optional(), supported_methods: z.array(z.string()).optional()});

export const modelProvider = z.enum(["openai", "azure", "anthropic", "bedrock", "cohere", "vertex", "vllm", "mistral", "ollama", "groq", "sgl", "parasail", "perplexity", "replicate", "cerebras", "deepseek", "gemini", "openrouter", "elevenlabs", "huggingface", "nebius", "xai", "runway", "fireworks"]);

export const bifrostCacheDebug = z.object({cache_hit: z.boolean().optional(), cache_id: z.string().optional(), hit_type: z.string().optional(), requested_provider: z.string().optional(), requested_model: z.string().optional(), provider_used: z.string().optional(), model_used: z.string().optional(), input_tokens: z.number().int().optional(), threshold: z.number().optional(), similarity: z.number().optional()});

export const bifrostResponseExtraFields = z.object({request_type: z.string().optional(), provider: modelProvider.optional(), model_requested: z.string().optional(), model_deployment: z.string().optional(), latency: z.number().int().optional(), chunk_index: z.number().int().optional(), raw_request: z.object({}).optional(), raw_response: z.object({}).optional(), cache_debug: bifrostCacheDebug.optional()});

export const listModelsResponse = z.object({data: z.array(model).optional(), extra_fields: bifrostResponseExtraFields.optional(), next_page_token: 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
};

/**
 * List available models
 * 
 * GET /v1/models
 * 
 * Also accepts auth: BasicAuth, VirtualKeyAuth, ApiKeyAuth
 */
export const getApiV1Models = async (args: GetApiV1ModelsArgs, options?: GetApiV1ModelsOptions) => {
const {baseUrl = "http://localhost:8080", fetch: fetchFn = fetch, BearerAuth} = options ?? {}

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

if (args.provider != null) query.append("provider", String(args.provider))
if (args.page_size != null) query.append("page_size", String(args.page_size))
if (args.page_token != null) query.append("page_token", String(args.page_token))
if (BearerAuth !== undefined) headers.set('authorization', `Bearer ${BearerAuth}`)

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