Problem
We’re building a TypeScript reconciler to push outbound contact lists from our CRM into Genesys Cloud. Large payloads are failing during the streaming multipart phase. The flow handles delta encoding, runs field mapping validations against schema constraints, and batches updates. The deduplication logic uses a SHA-256 hash on the email and phone fields to skip repeats. We also log each batch to S3 for governance compliance before pushing. The script needs to track upload latency and flag errors for our data quality dashboard. The API keeps rejecting the chunked transfer requests though.
Code
Here’s the upload loop handling the streaming payload and hash check:
const generateHash = (contact: Contact) => crypto.createHash('sha256').update(`${contact.email}|${contact.phone}`).digest('hex');
const stream = new ReadableStream({
start(controller) {
for (const contact of batch) {
if (seenHashes.has(generateHash(contact))) continue;
const payload = JSON.stringify({
listId: targetListId,
fields: { phone: contact.phone, email: contact.email, gdpr_consent: contact.consent }
});
controller.enqueue(new TextEncoder().encode(payload));
}
controller.close();
}
});
await fetch(`${GC_API}/api/v2/outbound/contactslists/${listId}/contacts`, {
method: 'POST',
headers: { 'Authorization': `Bearer ${token}`, 'Content-Type': 'application/json' },
body: stream,
duplex: 'half'
});
Error
The request hangs for about forty seconds before throwing a 408 Request Timeout. The response payload doesn’t show validation failures, just a generic gateway error.
{
"message": "Request timeout exceeded during chunked upload processing",
"code": "408",
"status": "Request Timeout"
}
Question
Headers are a mess sometimes. The chunked transfer encoding seems to choke on the stream controller. Is there a specific header or boundary format required for the outbound contacts endpoint when pushing large batches? The docs mention multipart but don’t clarify how to structure the JSON chunks with the deduplication hash. We’ve tried adjusting the fetch duplex settings without luck. The latency metrics are spiking right before the timeout.