import {z} from 'zod'

export type ModelMetricsRequest = {model_ids: Array<string>, since?: (string | null) | undefined, until?: (string | null) | undefined};

export type CreateApiV1AnalyticsModelMetricsArgs = {body: ModelMetricsRequest};

export type CreateApiV1AnalyticsModelMetricsOptions = {baseUrl: string, ApiKeyAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const evaluationSummary = z.object({id: z.string(), status: z.string(), task_type: z.string().nullable().optional(), dataset_name: z.string().nullable().optional(), dataset_version: z.string().nullable().optional(), f1_score: z.number().nullable().optional(), precision_score: z.number().nullable().optional(), recall_score: z.number().nullable().optional(), accuracy: z.number().nullable().optional(), subset_accuracy: z.number().nullable().optional(), hamming_loss: z.number().nullable().optional(), exact_match: z.number().nullable().optional(), bleu_score: z.number().nullable().optional(), rouge_l_score: z.number().nullable().optional(), validation_loss: z.number().nullable().optional(), sample_count: z.number().int().nullable().optional(), completed_at: z.string().nullable().optional(), created_at: z.string().nullable().optional()});

export const modelMetrics = z.object({inference_count: z.number().int().optional(), error_count: z.number().int().optional(), avg_latency_ms: z.number().nullable().optional(), avg_ttft_ms: z.number().nullable().optional(), last_inference_at: z.string().nullable().optional(), latest_evaluation: evaluationSummary.nullable().optional(), inference_count_prev_24h: z.number().int().nullable().optional(), inference_count_all_time: z.number().int().nullable().optional(), p99_latency_ms: z.number().nullable().optional(), median_latency_ms: z.number().nullable().optional(), p99_ttft_ms: z.number().nullable().optional(), median_ttft_ms: z.number().nullable().optional(), p99_ttft_ms_prev_24h: z.number().nullable().optional(), p99_latency_ms_prev_24h: z.number().nullable().optional(), spend_24h_usd: z.number().nullable().optional(), spend_prev_24h_usd: z.number().nullable().optional(), spend_per_1k_calls_usd: z.number().nullable().optional(), open_issue_count: z.number().int().nullable().optional()});

export const modelMetricsResponse = z.object({metrics: z.record(z.string(), modelMetrics).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 Model Metrics
 * 
 * POST /v1/analytics/model-metrics
 * 
 * Also accepts auth: BearerAuth
 */
export const createApiV1AnalyticsModelMetrics = async (args: CreateApiV1AnalyticsModelMetricsArgs, options: CreateApiV1AnalyticsModelMetricsOptions) => {
const {baseUrl, fetch: fetchFn = fetch, ApiKeyAuth} = options ?? {}

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

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

const url = `${baseUrl.replace(/\/+$/, '')}/v1/analytics/model-metrics${query.size > 0 ? `?${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(modelMetricsResponse, await res.json())
};