import {z} from 'zod'

export type GetApiV1InferencesInferenceIdArgs = {inference_id: string};

export type GetApiV1InferencesInferenceIdOptions = {baseUrl: string, ApiKeyAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const inferenceRecord = z.object({id: z.string(), user_id: z.string(), model_id: z.string(), model_name: z.string().nullable().optional(), task: z.string().nullable().optional(), input: z.string(), output: z.unknown(), latency_ms: z.number().int().nullable().optional(), ttft_ms: z.number().int().nullable().optional(), tokens: z.number().int().nullable().optional(), input_tokens: z.number().int().nullable().optional(), output_tokens: z.number().int().nullable().optional(), cache_read_tokens: z.number().int().nullable().optional(), cache_write_tokens: z.number().int().nullable().optional(), source: z.string().optional(), status: z.string().optional(), error_type: z.string().nullable().optional(), error_message: z.string().nullable().optional(), created_at: z.string(), project_id: z.string().nullable().optional(), training_job_id: z.string().nullable().optional(), provider: z.string().nullable().optional(), base_model: z.string().nullable().optional(), metadata: z.record(z.string(), z.unknown()).nullable().optional(), human_verdict: z.string().nullable().optional(), human_corrected_output: z.unknown(), human_feedback_notes: z.string().nullable().optional(), human_feedback_at: z.string().nullable().optional(), llmaj_verdict: z.enum(["pass", "fail", "uncertain"]).nullable().optional(), llmaj_score: z.number().nullable().optional(), llmaj_judged_at: z.string().nullable().optional(), llmaj_reasoning: z.string().nullable().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 Inference Detail
 * 
 * GET /v1/inferences/{inference_id}
 * 
 * Also accepts auth: BearerAuth
 */
export const getApiV1InferencesInferenceId = async (args: GetApiV1InferencesInferenceIdArgs, options: GetApiV1InferencesInferenceIdOptions) => {
const {baseUrl, fetch: fetchFn = fetch, ApiKeyAuth} = options ?? {}

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

if (ApiKeyAuth !== undefined) headers.set("X-API-Key", ApiKeyAuth)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/inferences/${encodeURIComponent(String(args.inference_id))}${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(inferenceRecord, await res.json())
};