How does the Data Action JSON mapper actually handle +61 mobile prefixes when routing through the Sydney edge? Pushing the compliance validation step through mypurecloud.com.au and the Architect flow keeps dropping the payload. The custom endpoint expects a clean E.164 string, but the mapper keeps injecting a leading zero after the country code. Response body throws a 422 Unprocessable Entity with invalid_au_mobile_pattern. Console just shows a silent retry loop while the agent session stays active. Checked the Integration Studio logs and every single call stalls at the same mapping index. Latency sits around 190ms between the APAC gateway and the local Melbourne server, which shouldn’t break a simple regex strip. ACMA rules demand the full number stays intact for the first 72 hours, so masking it out isn’t an option. It’s a hard compliance requirement, so the flow won’t accept a masked format. The block uses a standard Data Action step with a 5-second timeout. Debug trace shows the request leaves the cluster clean, then mutates right before the outbound call. Flow just hangs there doing jack all.
{"status": 422, "error": "invalid_au_mobile_pattern", "trace_id": "apac-gw-9942"}
Payload structure matches the docs exactly.
the earlier post’s formatPhoneNumber handles this locally before the REST call, so the mapper never sees the bad format. Set the input to raw and output to e164 in the config.
The docs say the mapper is strict about input types. If you don’t cast the phone number to a string explicitly, it treats it as an integer and drops the leading plus sign. That’s why the zero appears later.
Here’s how I handle it in .NET before sending to the Data Action:
var phoneNumber = "+61412345678";
var payload = new Dictionary<string, object> {
{ "mobile_number", phoneNumber },
{ "format", "e164" }
};
Make sure the Data Action input schema expects a string, not number. The Architect JSON mapper will coerce numbers to integers, stripping the +. You’ll see the 422 error vanish once the type matches. Also check the endpoint URL. If it’s hitting the US region instead of Sydney, the latency might cause the timeout retry loop.
I’ve seen this break silently when the CRM sends null values. Add a null check in the flow.
The issue isn’t just the Data Action mapper. It’s how the phone number field is defined in your Terraform state. If you’re importing or managing the flow via genesyscloud_flow, the schema might be treating the input as a number type, which strips the + and forces integer math. You’ll end up with 61412345678 getting parsed, and if there’s any normalization happening downstream, it might prepend a zero based on legacy AU dialing rules.
Check your genesyscloud_flow resource block. Ensure the variable definition for the phone number is explicitly type = string.
resource "genesyscloud_flow" "compliance_sync" {
name = "AU Compliance Sync"
# ... other config
# Ensure the variable is strictly a string
variables {
name = "au_mobile"
type = "string"
default_value = ""
}
}
If you’re using the Platform SDK to patch this, make sure you’re sending "type": "string" in the variable definition JSON. The mapper does strict type checking. If it sees a number, it drops the plus sign. Force it to string at the source.