import {z} from 'zod'

export type PostProcessingBlockType = 'object-tracking' | 'sort-object-tracking';

export type PostProcessingConfigRequest = {enabled: boolean, parameters: {[key: string]: string}, type?: PostProcessingBlockType | undefined};

export type KerasModelVariantEnum = 'int8' | 'float32' | 'akida';

export type PostProcessingFeaturesForSampleRequest = {config: PostProcessingConfigRequest, variant: KerasModelVariantEnum};

export type CreateApiApiProjectIdPostProcessingPostProcessingIdSamplesSampleIdArgs = {projectId: number, postProcessingId: number, sampleId: number, body: PostProcessingFeaturesForSampleRequest};

export type CreateApiApiProjectIdPostProcessingPostProcessingIdSamplesSampleIdOptions = {baseUrl?: string | undefined, ApiKeyAuthentication?: string | undefined, fetch?: typeof fetch | undefined};

export const objectTrackingPostProcessingObject = z.object({label: z.string(), id: z.number().int(), x: z.number(), y: z.number(), width: z.number(), height: z.number()});

export const objectTrackingPostProcessingResult = z.object({frames: z.array(z.object({frameIndex: z.number().int(), objects: z.array(objectTrackingPostProcessingObject)})), parameters: z.record(z.string(), z.string())});

export const objectDetectionPostProcessingObject = z.object({label: z.string(), x: z.number(), y: z.number(), width: z.number(), height: z.number(), score: z.number()});

export const objectDetectionPostProcessingResult = z.object({frames: z.array(z.object({frameIndex: z.number().int(), objects: z.array(objectDetectionPostProcessingObject)}))});

export const postProcessingBlockType = z.enum(["object-tracking", "sort-object-tracking"]);

export const postProcessingConfigRequest = z.object({enabled: z.boolean(), parameters: z.record(z.string(), z.string()), type: postProcessingBlockType.optional()});

export const getPostProcessingResultsForSampleResponse = z.object({success: z.boolean(), error: z.string().optional(), hasResults: z.enum(["has-results", "job-is-running", "no-results"]), results: z.object({objectTracking: objectTrackingPostProcessingResult.optional(), objectDetection: objectDetectionPostProcessingResult.optional()}).optional(), jobIsRunning: z.object({jobId: z.number().int(), config: postProcessingConfigRequest}).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
};

/**
 * Check post-processing results for sample
 * 
 * POST /api/{projectId}/post-processing/{postProcessingId}/samples/{sampleId}
 * 
 * Also accepts auth: JWTAuthentication, JWTHttpHeaderAuthentication, OAuth2
 */
export const createApiApiProjectIdPostProcessingPostProcessingIdSamplesSampleId = async (args: CreateApiApiProjectIdPostProcessingPostProcessingIdSamplesSampleIdArgs, options?: CreateApiApiProjectIdPostProcessingPostProcessingIdSamplesSampleIdOptions) => {
const {baseUrl = "https://studio.edgeimpulse.com/v1", fetch: fetchFn = fetch, ApiKeyAuthentication} = options ?? {}

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

if (ApiKeyAuthentication !== undefined) headers.set("x-api-key", ApiKeyAuthentication)

const url = `${baseUrl.replace(/\/+$/, '')}/api/${encodeURIComponent(String(args.projectId))}/post-processing/${encodeURIComponent(String(args.postProcessingId))}/samples/${encodeURIComponent(String(args.sampleId))}${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(getPostProcessingResultsForSampleResponse, await res.json())
};