1 | |
2 | type Vectara = { |
3 | apiKey: string |
4 | } |
5 | |
6 | * List the documents in the corpus |
7 | * |
8 | */ |
9 | export async function main( |
10 | auth: Vectara, |
11 | corpus_key: string, |
12 | limit: string | undefined, |
13 | metadata_filter: string | undefined, |
14 | page_key: string | undefined |
15 | ) { |
16 | const url = new URL(`https://api.vectara.io/v2/corpora/${corpus_key}/documents`) |
17 | for (const [k, v] of [ |
18 | ['limit', limit], |
19 | ['metadata_filter', metadata_filter], |
20 | ['page_key', page_key] |
21 | ]) { |
22 | if (v !== undefined && v !== '' && k !== undefined) { |
23 | url.searchParams.append(k, v) |
24 | } |
25 | } |
26 | const response = await fetch(url, { |
27 | method: 'GET', |
28 | headers: { |
29 | 'x-api-key': auth.apiKey |
30 | }, |
31 | body: undefined |
32 | }) |
33 | if (!response.ok) { |
34 | const text = await response.text() |
35 | throw new Error(`${response.status} ${text}`) |
36 | } |
37 | return await response.json() |
38 | } |
39 |
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