Step one: the DR plan requires a full org dump every Sunday night so we can spin up a fresh tenant if the primary goes dark. The flows folder has about four hundred active scripts, so it’s probably the issue. Step two: I’ve got a bash script running genesys cloud cxascode export --all-resources --output /tmp/dr-backup but the process chokes on the Studio flows.
The CLI hangs for twenty minutes before dumping a generic error:
Error: Failed to export resource 'flows'. Timeout exceeded waiting for export job completion.
Looking at the API docs, the export action hits /api/v2/cxascode/exports and returns a job ID. I tried polling that endpoint manually with curl:
curl -H "Authorization: Bearer $TOKEN" /api/v2/cxascode/exports/{jobId}
The status stays stuck on in-progress until it flips to failed with no useful payload details. Is there a specific flag to chunk the flow exports? The script crashes out and leaves the zip file truncated.
Running a full export on a tenant with 400 flows is a recipe for a timeout, especially if you’re hitting the API rate limits. The CLI isn’t hanging; it’s waiting for the server to cess a massive payload and likely timing out on one of the complex routing scripts. You need to chunk this.
Here is what you should try instead of the --all-resources flag:
- Split the export by resource type. Don’t ask for everything at once. Run flows separately from users, wrap ups, and IVRs. The flows are the heavy lifters.
- Filter by flow category. If you have a mix of inbound, outbound, and internal flows, export them in batches. Use the
--filter option if the CLI supports it, or manually iterate through flow IDs if you have to.
- Increase the timeout or use retries. The default timeout might be too short for a large flow. Check if your CLI version allows setting a
--timeout flag. If not, you might need to wrap the command in a retry loop in your bash script.
- Check the flow complexity. Some flows have deep nesting or complex data actions. These take longer to serialize. Identify the biggest offenders and export them last, or give them more time.
Here is a basic bash loop to export flows in batches of 50. Adjust the BATCH_SIZE as needed:
#!/bin/bash
# Get all flow IDs
FLOW_IDS=$(genesys cloud flows:list --format json | jq -r '.entities[].id')
# Split into batches
BATCH_SIZE=50
i=0
batch=()
for id in $FLOW_IDS; do
batch+=("$id")
((i++))
if (( i % BATCH_SIZE == 0 )); then
# Export the batch
echo "Exporting batch $((i / BATCH_SIZE))..."
genesys cloud flows:export --ids "${batch[@]}" --output "/tmp/dr-backup/flows_batch_$((i / BATCH_SIZE))"
# Clear the batch
batch=()
fi
done
# Export remaining flows
if [ ${#batch[@]} -gt 0 ]; then
echo "Exporting remaining flows..."
genesys cloud flows:export --ids "${batch[@]}" --output "/tmp/dr-backup/flows_remaining"
fi
This won’t fix the underlying API slowness, but it will prevent the CLI from hanging on a single massive request. You might still hit rate limits, so add a sleep between batches if you see 429 errors. The DR backup will take longer, but it will actually finish.