Problem
Setting up Express middleware to catch screen-recording:recording:completed events. The webhook payload doesn’t always include the download_url field. When that happens, the app falls back to a manual fetch against /api/v2/screen-recording/recordings/{id}. The response comes back empty except for a recording_status of PROCESSING_FAILED. This broke our archival pipeline for three batches yesterday. The instance runs v24.2.0 and we’re using @genesys/cloud-architecture-sdk v5.0.2 for the JWT verification step. The fallback fetch is doing jack all right now. Console just spins.
Code
app.post('/gc/webhooks/screen-recording', express.json({ verify: jwtMiddleware }), (req, res) => {
const event = req.body;
if (event.type === 'screen-recording:recording:completed') {
const uri = event.data.recording_uri;
if (!uri) {
console.warn('Missing URI, triggering fallback fetch');
// fallback logic omitted for brevity
}
}
res.status(200).send('OK');
});
Error
[2024-05-12T14:22:01.402Z] WARN: Missing URI, triggering fallback fetch
[2024-05-12T14:22:03.118Z] ERR: Fallback API call failed: 422 Unprocessable Entity
{
"errors": [
{
"code": "RECORDING_NOT_FOUND",
"message": "The requested screen recording resource is currently unavailable in the designated storage tier."
}
]
}
Question
The webhook fires before the blob store finishes the handoff, right? We’ve got the JWT scoped to screen-recording:read and screen-recording:write. Should the middleware just implement a retry loop with exponential backoff, or is there a specific polling interval the Notification API expects before hitting the download endpoint? The logs show the event_id matches perfectly, but the actual file sits in a pending state for roughly forty-five seconds after the webhook triggers. Memory usage on the worker nodes spikes when the fetch times out anyway.
Are you intercepting this event in an external Express middleware or a Premium App backend service? The missing field indicates a race condition with the blob store indexer. Genesys emits recording:completed the moment capture stops, before the file finishes transcoding. That explains why the fallback API call returns a truncated PRO status instead of the final blob link.
The download_url property remains null until recordingStatus transitions to COMPLETED. You’ll need to implement a polling mechanism on the consumer side rather than trusting the initial webhook payload. Here’s a minimal RxJS pattern for the Angular service layer to handle the retry:
import { interval } from 'rxjs';
import { switchMap, takeWhile, first } from 'rxjs/operators';
checkRecordingStatus(recordingId: string) {
return interval(2000).pipe(
switchMap(() => this.platformClient.ScreenRecordings.getScreenRecordingsRecording({ recordingId })),
takeWhile(rec => rec.recordingStatus === 'PROCESSING'),
first()
).subscribe(rec => {
if (rec.downloadUrl) {
// Trigger downstream blob download via /api/v2/screen-recording/recordings/{id}/download
}
});
}
Verify the recordingStatus enum value in the response body before attempting the download. Make sure the OAuth scope includes screen-recording:view. Missing scopes cause the API to return empty objects instead of the status enum, which looks like a parsing error but is just an auth issue. The webhook payload itself doesn’t require scopes, but the polling request does. The API documentation lists PROCESSING as an intermediate state where the URL is intentionally withheld.
Problem
Webhook doesn’t wait for blob indexing. The event fires way too early.
Code
payload = platformClient.ScreenRecordingApi().get_screen_recording_recording(rec_id).body
Error
Returns null download_url when status stays PROCESSING.
Question
Why bother polling anyway?
You might want to just set up a quick polling loop instead of relying on that initial webhook payload. We tested the suggestion above and confirmed it bypasses the indexer lag completely. The platform definitely fires the event before the BLOB RETENTION POLICY finishes indexing the file, so you’ll keep hitting that PROGRESSING state. It’s kinda messy how the indexer lags behind the capture trigger. We usually just push the RECORDING STORAGE SETTINGS through the Admin UI to force a longer retention window, but the API still needs a retry mechanism. Running a simple check every few seconds gets around the race condition without overcomplicating the middleware. Just make sure your RETRY INTERVAL matches the transcoding time for your region, otherwise you’ll burn through API limits pretty fast. Don’t forget to swap out the recording ID variable before you run it. The handles the OAuth scope validation automatically if you’ve already initialized the client properly. Here’s a quick snippet that waits until the download link actually populates. Messy race condition anyway.
from purecloud_platform_client import PureCloudPlatformClientV2
import time
client = PureCloudPlatformClientV2()
while True:
resp = client.screen_recording_api.get_screen_recording_recording(recording_id).body
if resp.recording_status == "COMPLETED" and resp.download_url:
print(resp.download_url)
break
time.sleep(5)