Edits history of script submission #9847 for ' Upload a file to the corpus (vectara)'

• bun

  Ap­pro­ved version

  Edit in Windmill

  Embed

  //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()
  }
  

  Submitted by hugo697 581 days ago