export type KerasModelTypeEnum = 'int8' | 'float32' | 'akida' | 'requiresRetrain';

export type DeploymentTargetEngine = 'tflite' | 'tflite-eon' | 'tflite-eon-ram-optimized' | 'tensorrt' | 'tensaiflow' | 'drp-ai' | 'tidl' | 'akida' | 'syntiant' | 'memryx' | 'neox' | 'ethos-linux' | 'st-aton' | 'ceva-npn' | 'nordic-axon' | 'vlm-connector' | 'qaic';

export type GetApiApiProjectIdDeploymentDownloadArgs = {projectId: number, type: string, modelType?: KerasModelTypeEnum | undefined, engine?: DeploymentTargetEngine | undefined, impulseId?: number | undefined};

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

/**
 * Download
 * 
 * GET /api/{projectId}/deployment/download
 * 
 * Also accepts auth: JWTAuthentication, JWTHttpHeaderAuthentication, OAuth2
 */
export const getApiApiProjectIdDeploymentDownload = async (args: GetApiApiProjectIdDeploymentDownloadArgs, options?: GetApiApiProjectIdDeploymentDownloadOptions) => {
const {baseUrl = "https://studio.edgeimpulse.com/v1", fetch: fetchFn = fetch, ApiKeyAuthentication} = options ?? {}

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

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

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

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

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

return res.blob()
};