import {z} from 'zod'

export type DeleteApiEntitiesPredictiveSegmentsIdArgs = {id: number};

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

export const predictiveSegmentAccuracy = z.number().gte(0).lte(100).nullable();

export const predictiveSegmentAreaUnderRocCurve = z.number().gte(0).lte(1).nullable();

export const predictiveSegmentGradeThresholds = z.array(z.number().gte(0).lte(100));

export const predictiveSegmentJsonApiResourceAttr = z.object({audienceId: z.string().optional(), baseSegmentId: z.string().nullable().optional(), segmentId: z.string().optional(), scoredSegmentId: z.string().nullable().optional(), name: z.string().optional(), description: z.string().nullable().optional(), categoricalAsColumnNames: z.array(z.string()).optional(), categoricalArrayAsColumnNames: z.array(z.string()).optional(), quantitativeAsColumnNames: z.array(z.string()).optional(), accuracy: predictiveSegmentAccuracy.optional(), areaUnderRocCurve: predictiveSegmentAreaUnderRocCurve.optional(), gradeThresholds: predictiveSegmentGradeThresholds.optional(), createdAt: z.string().optional(), updatedAt: z.string().optional(), modelUpdatedAt: z.string().optional()});

export const userJsonApiResource = z.object({id: z.string(), type: z.literal("user"), attributes: z.object({tdUserId: z.string(), name: z.string()})});

export const entitiesGetPredictiveSegmentJsonApiResponse = z.object({data: predictiveSegmentJsonApiResourceAttr, included: z.array(userJsonApiResource)});

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
};

/**
 * Delete predictive scoring model
 * 
 * DELETE /entities/predictive_segments/{id}
 */
export const deleteApiEntitiesPredictiveSegmentsId = async (args: DeleteApiEntitiesPredictiveSegmentsIdArgs, options?: DeleteApiEntitiesPredictiveSegmentsIdOptions) => {
const {baseUrl = "https://api-cdp.treasuredata.com", fetch: fetchFn = fetch} = options ?? {}

const query = new URLSearchParams()
const headers = new Headers()
headers.set('accept', "application/vnd.treasuredata.v1+json")

const url = `${baseUrl.replace(/\/+$/, '')}/entities/predictive_segments/${encodeURIComponent(String(args.id))}${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "DELETE", headers})

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

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