import {z} from 'zod'

export type InputBlockType = 'time-series' | 'image' | 'features';

export type ImageInputResizeMode = 'squash' | 'fit-short' | 'fit-long' | 'crop';

export type ImpulseInputBlockDatasetSubset = {includePercentage: number, seed?: number | undefined};

export type ImpulseInputBlock = {id: number, type: InputBlockType, name: string, title: string, axes?: Array<string> | undefined, windowSizeMs?: number | undefined, windowIncreaseMs?: number | undefined, frequencyHz?: number | undefined, classificationWindowIncreaseMs?: number | undefined, padZeros?: boolean | undefined, labelingMethodMultiLabel?: ({type: 'end-of-window' | 'anywhere-in-window' | 'anywhere-in-window-min-percentage' | 'majority-in-window', labels?: Array<string> | undefined, minPercentage?: number | undefined}) | undefined, imageWidth?: number | undefined, imageHeight?: number | undefined, resizeMode?: ImageInputResizeMode | undefined, resizeMethod?: ('lanczos3' | 'nearest') | undefined, cropAnchor?: ('top-left' | 'top-center' | 'top-right' | 'middle-left' | 'middle-center' | 'middle-right' | 'bottom-left' | 'bottom-center' | 'bottom-right') | undefined, createdBy?: string | undefined, createdAt?: string | undefined, datasetSubset?: ImpulseInputBlockDatasetSubset | undefined};

export type ImpulseDspBlock = {id: number, type: string, name: string, axes: Array<string>, title: string, valuesPerAxis?: number | undefined, input?: number | undefined, createdBy?: string | undefined, createdAt?: string | undefined, implementationVersion: number, organization?: {id: number, dspId: number} | undefined, customUrl?: string | undefined, namedAxes?: (Array<{name: string, description?: string | undefined, required?: boolean | undefined, selectedAxis?: string | undefined}>) | undefined};

export type LearnBlockType = 'anomaly' | 'anomaly-gmm' | 'keras' | 'keras-transfer-image' | 'keras-transfer-kws' | 'keras-object-detection' | 'keras-regression' | 'keras-akida' | 'keras-akida-transfer-image' | 'keras-akida-object-detection' | 'keras-visual-anomaly' | 'keras-freeform' | 'keras-self-contained-freeform' | 'keras-anomaly' | 'vlm';

export type ImpulseSpecificGpuTrainingProcessor = 'cpu' | 'gpu';

export type ImpulseLearnBlock = {id: number, type: LearnBlockType, name: string, dsp: Array<number>, title: string, createdBy?: string | undefined, createdAt?: string | undefined, trainingProcessor?: ImpulseSpecificGpuTrainingProcessor | undefined};

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

export type ImpulsePostProcessingBlock = {id: number, type: PostProcessingBlockType, name: string, title: string, createdBy?: string | undefined, createdAt?: string | undefined, implementationVersion: number};

export type ImpulseType = 'default' | 'BYOM' | 'VLM' | 'no_training_data';

export type CreateImpulseRequest = {name?: string | undefined, inputBlocks: Array<ImpulseInputBlock>, dspBlocks: Array<ImpulseDspBlock>, learnBlocks: Array<ImpulseLearnBlock>, postProcessingBlocks?: Array<ImpulsePostProcessingBlock> | undefined, type?: ImpulseType | undefined, datasetVersionId?: number | undefined};

export type CreateApiApiProjectIdImpulseArgs = {projectId: number, impulseId?: number | undefined, body: CreateImpulseRequest};

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

export const createImpulseResponse = z.object({success: z.boolean(), error: z.string().optional(), id: z.number().int()});

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
};

/**
 * Create impulse
 * 
 * POST /api/{projectId}/impulse
 * 
 * Also accepts auth: JWTAuthentication, JWTHttpHeaderAuthentication, OAuth2
 */
export const createApiApiProjectIdImpulse = async (args: CreateApiApiProjectIdImpulseArgs, options?: CreateApiApiProjectIdImpulseOptions) => {
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 (args.impulseId != null) query.append("impulseId", String(args.impulseId))
if (ApiKeyAuthentication !== undefined) headers.set("x-api-key", ApiKeyAuthentication)

const url = `${baseUrl.replace(/\/+$/, '')}/api/${encodeURIComponent(String(args.projectId))}/impulse${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(createImpulseResponse, await res.json())
};