export type LabelDto = {name: string, color: string};

export type LoRaDeviceModelDto = {classType?: ('A' | 'C') | undefined, preferredWindow?: number | undefined, deduplication?: ('None' | 'Drop' | 'Mark') | undefined, rX1DROffset?: (number | null) | undefined, rX2DataRate?: (number | null) | undefined, rxDelay?: (number | null) | undefined, abpRelaxMode?: (boolean | null) | undefined, fCntUpStart?: (number | null) | undefined, fCntDownStart?: (number | null) | undefined, fCntResetCounter?: (number | null) | undefined, supports32BitFCnt?: (boolean | null) | undefined, keepAliveTimeout?: (number | null) | undefined, sensorDecoder?: (string | null) | undefined, modelId?: (string | null) | undefined, image?: (string | null) | undefined, name: string, description?: (string | null) | undefined, isBuiltin?: boolean | undefined, supportLoRaFeatures?: boolean | undefined, useOTAA?: boolean | undefined, downlink?: (boolean | null) | undefined, labels?: (Array<LabelDto> | null) | undefined};

export type CreateApiApiLorawanModelsArgs = {body: LoRaDeviceModelDto};

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

/**
 * Creates the specified device model.
 * 
 * POST /api/lorawan/models
 */
export const createApiApiLorawanModels = async (args: CreateApiApiLorawanModelsArgs, options: CreateApiApiLorawanModelsOptions) => {
const {baseUrl, fetch: fetchFn = fetch} = options ?? {}

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

const url = `${baseUrl.replace(/\/+$/, '')}/api/lorawan/models${query.size > 0 ? `?${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 undefined
};