Skip to content

handle tsv gzip responses, e.g. salesReports #5

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
dfabulich wants to merge 1 commit into
base: main
Choose a base branch
from
Open

handle tsv gzip responses, e.g. salesReports #5

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
9 changes: 8 additions & 1 deletion index.mjs
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
import { gunzipSync } from 'node:zlib';
import { SignJWT, importPKCS8 } from 'jose';

// issuerId and apiKey from https://appstoreconnect.apple.com/access/api
Expand Down Expand Up @@ -99,9 +100,12 @@ export const api = async function AppStoreConnectApiFetcher({ issuerId, apiKey,
url = parsed.toString();
}
const response = await authFetch(url, options);
const text = await response.text();
const contentType = response.headers.get('content-type');
const isJson = (contentType === 'application/json' || contentType === 'application/vnd.api+json');
const isTsvGzip = contentType === 'application/a-gzip';
const text = isTsvGzip ?
gunzipSync(new Buffer.from(await response.arrayBuffer())).toString()
: await response.text();
const crawlAllPages = options?.crawlAllPages ?? true;
if (response.ok) {
if (isJson) {
Expand Down Expand Up @@ -133,6 +137,9 @@ export const api = async function AppStoreConnectApiFetcher({ issuerId, apiKey,
} else {
return result.data;
}
} else if (isTsvGzip) {
const [headers, ...rows] = text.split('\n').map(line => line.split('\t'));
return { data: rows.map(row => Object.fromEntries(headers.map((header, i) => [header, row[i]]))) };
} else {
return text;
}
Expand Down