export type GetApiV1RunsExportArgs = {type: 'llm' | 'trace' | 'thread', exportFormat: 'csv' | 'jsonl' | 'ojsonl'};

export type GetApiV1RunsExportOptions = {baseUrl?: string | undefined, ProjectPrivateApiKeyAuth?: string | undefined, fetch?: typeof fetch | undefined};

/**
 * Export runs data
 * 
 * GET /v1/runs/export
 */
export const getApiV1RunsExport = async (args: GetApiV1RunsExportArgs, options?: GetApiV1RunsExportOptions) => {
const {baseUrl = "https://api.lunary.ai", fetch: fetchFn = fetch, ProjectPrivateApiKeyAuth} = options ?? {}

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

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

const url = `${baseUrl.replace(/\/+$/, '')}/v1/runs/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()
};