Upload a file to the corpus

//native

type Vectara = {

	apiKey: string

}

/**

 * Upload a file to the corpus

 * Upload files such as PDFs and Word Documents.

 */

export async function main(

	auth: Vectara,

	corpus_key: string,

	body: {

		metadata?: {}

		filename?: string

		file: {

			base64: string

			type:

				| 'image/png'

				| 'image/jpeg'

				| 'image/gif'

				| 'application/pdf'

				| 'appication/json'

				| 'text/csv'

				| 'text/plain'

				| 'audio/mpeg'

				| 'audio/wav'

				| 'video/mp4'

			name: string

		}

	}

) {

	const url = new URL(`https://api.vectara.io/v2/corpora/${corpus_key}/upload_file`)

	const formData = new FormData()

	for (const [k, v] of Object.entries(body)) {

		if (v !== undefined && v !== '') {

			if (['file'].includes(k)) {

				const { base64, type, name } = v as {

					base64: string

					type: string

					name: string

				}

				formData.append(

					k,

					new Blob([Uint8Array.from(atob(base64), (m) => m.codePointAt(0)!)], {

						type

					}),

					name

				)

			} else {

				formData.append(k, String(v))

			}

		}

	}

	const response = await fetch(url, {

		method: 'POST',

		headers: {

			'x-api-key': auth.apiKey

		},

		body: formData

	})

	if (!response.ok) {

		const text = await response.text()

		throw new Error(`${response.status} ${text}`)

	}

	return await response.json()

}