export type GetApiApiV1ProjectsProjectIdTasksTaskIdExportArgs = {projectId: number, taskId: string, format?: ('json' | 'excel' | 'csv' | 'pdf') | undefined};

export type GetApiApiV1ProjectsProjectIdTasksTaskIdExportOptions = {baseUrl?: string | undefined, BearerToken?: string | undefined, fetch?: typeof fetch | undefined};

/**
 * Export task.
 * 
 * GET /api/v1/projects/{projectId}/tasks/{taskId}/export
 */
export const getApiApiV1ProjectsProjectIdTasksTaskIdExport = async (args: GetApiApiV1ProjectsProjectIdTasksTaskIdExportArgs, options?: GetApiApiV1ProjectsProjectIdTasksTaskIdExportOptions) => {
const {baseUrl = "https://app.customgpt.ai", fetch: fetchFn = fetch, BearerToken} = options ?? {}

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

if (args.format != null) query.append("format", String(args.format))
if (BearerToken !== undefined) headers.set('authorization', `Bearer ${BearerToken}`)

const url = `${baseUrl.replace(/\/+$/, '')}/api/v1/projects/${encodeURIComponent(String(args.projectId))}/tasks/${encodeURIComponent(String(args.taskId))}/export${query.size > 0 ? `?${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()
};