import {z} from 'zod'

export type CreateApiApiProjectIdClassifyImageArgs = {projectId: number, impulseId?: number | undefined, body: BodyInit};

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

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

export const anomalyResult = z.object({boxes: z.array(boundingBoxWithScore).optional(), scores: z.array(z.array(z.number())).optional(), meanScore: z.number().optional(), maxScore: z.number().optional()});

export const testPretrainedModelResponse = z.object({success: z.boolean(), error: z.string().optional(), result: z.record(z.string(), z.number()).optional(), boundingBoxes: z.array(boundingBoxWithScore).optional(), freeformResult: z.object({outputTensors: z.array(z.object({shape: z.array(z.number().int()), dataType: z.enum(["int8", "uint8", "float32"]), data: z.array(z.number())}))}).optional(), anomalyResult: z.array(anomalyResult).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
};

/**
 * Classify an image
 * 
 * POST /api/{projectId}/classify/image
 * 
 * Also accepts auth: JWTAuthentication, JWTHttpHeaderAuthentication, OAuth2
 */
export const createApiApiProjectIdClassifyImage = async (args: CreateApiApiProjectIdClassifyImageArgs, options?: CreateApiApiProjectIdClassifyImageOptions) => {
const {baseUrl = "https://studio.edgeimpulse.com/v1", fetch: fetchFn = fetch, ApiKeyAuthentication} = options ?? {}

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

if (args.impulseId != null) query.append("impulseId", String(args.impulseId))
if (ApiKeyAuthentication !== undefined) headers.set("x-api-key", ApiKeyAuthentication)

const url = `${baseUrl.replace(/\/+$/, '')}/api/${encodeURIComponent(String(args.projectId))}/classify/image${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "POST", headers, body: args.body})

if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}})

return validateResponse(testPretrainedModelResponse, await res.json())
};