Data Manager API synchronous validation can return camelCase field paths with list indexes, while asynchronous request status can aggregate failures by reason and count. A WordPress integration needs to preserve both forms without pretending every aggregate error identifies an exact row.
Use this for WordPress lead uploads, ecommerce events, CRM-qualified conversions, agency connectors, scheduled batch jobs, and support dashboards that call Google Data Manager API.
Quick answer
Store request_id and a redacted source-row map before sending. Parse BadRequest field violations into path tokens such as events[2].userData.emailAddress, then map tokens to the local field owner. For request status, preserve reason plus count as aggregate evidence unless the API provides row detail.
What to check first
- Capture HTTP status, Google RPC code, message, ErrorInfo reason and metadata, RequestInfo request ID, field violations, retry headers, and upload timestamp.
- Parse camelCase property names, square-bracket list indexes, nested objects, unknown future fields, and malformed paths without using string splitting alone.
- Map API paths to WordPress form ID, field ID, order property, CRM column, transform function, consent rule, and redacted source-row identifier.
- Poll request status with exponential backoff after the recommended processing window and stop on success, failed, or partial success.
- Keep synchronous fast-fail errors separate from asynchronous aggregate reasons so operators do not assume rejected data was processed.
Diagnostic table
Use this table to keep the work practical. It connects the symptom to evidence and a verification step.
| Action | Evidence to collect | How to verify |
|---|
| Preserve structured Google error details | Capture HTTP status, Google RPC code, message, ErrorInfo reason and metadata, RequestInfo request ID, field violations, retry headers, and upload timestamp. | Nested paths and list indexes map to the intended synthetic source fields. |
| Parse paths into typed tokens | Parse camelCase property names, square-bracket list indexes, nested objects, unknown future fields, and malformed paths without using string splitting alone. | Malformed or future paths are preserved without crashing the worker. |
| Map payload positions to source owners | Map API paths to WordPress form ID, field ID, order property, CRM column, transform function, consent rule, and redacted source-row identifier. | Fast-fail validation is recorded as not processed. |
| Separate fast-fail and aggregate status | Poll request status with exponential backoff after the recommended processing window and stop on success, failed, or partial success. | Partial success shows reason counts, request ID, next action, and no invented row attribution. |
Why this usually happens
- Validation errors and asynchronous processing errors have different detail levels.
- List indexes refer to the submitted payload, not necessarily a permanent database row.
- Transforms can rename or combine several WordPress fields before upload.
- The documented error-reason enum can grow, so closed switch statements lose evidence.
Useful command or data shape
Adapt paths, IDs, and privacy handling to the site before running commands or storing data on production.
request_id: dm-01J9X7A2
http_status: 400
field_path: events[2].userData.emailAddress
parsed_tokens: [events, 2, userData, emailAddress]
source_map: form_7.field_3
reason: INVALID_ARGUMENT
processed: false
operator_action: fix_email_normalizer
Safe fix order
Do the work in a sequence that makes each result easy to prove. Stop if a step produces new evidence that changes the incident scope.
- Preserve structured Google error details
- Parse paths into typed tokens
- Map payload positions to source owners
- Separate fast-fail and aggregate status
- Test unknown reasons and retry policy
Decision rule
Pass when every available field violation resolves to a safe source owner, aggregate request-status errors remain honestly aggregate, unknown reasons are preserved, retries follow status and code semantics, and logs omit raw personal data.
What to tell the client or owner
Give the owner the affected versions, exact workflow, observed result, business impact, evidence location, temporary control, named owner, and next review time. Remove credentials and personal data from shared screenshots and logs.
Production verification checklist
- Nested paths and list indexes map to the intended synthetic source fields.
- Malformed or future paths are preserved without crashing the worker.
- Fast-fail validation is recorded as not processed.
- Partial success shows reason counts, request ID, next action, and no invented row attribution.
Mistakes to avoid
- Do not change several plugins, cache rules, or infrastructure settings before preserving a baseline.
- Do not treat one successful test as proof for retries, alternate clients, background work, or mixed-version fleets.
- Do not paste secrets, personal data, complete production payloads, or customer files into tickets or screenshots.
- Do not close the test until the final user-visible state and the server-side evidence agree.
Questions teams ask during testing
Can request status identify every failed event?
Not always. Asynchronous errors may be aggregated by reason and count. Keep row attribution only when the response or your own batch design can prove it.
Should the parser hard-code every ErrorReason?
Handle known reasons with specific actions, but preserve unknown enum values and metadata so a new API reason remains diagnosable.
When HandL WP should help
Bring in HandL WP when a production checkout, form, email, media pipeline, code-quality gate, or paid lead workflow is at risk. We can preserve evidence, isolate the failing layer, make the smallest corrective change, and verify the result across WordPress, connected services, logs, and the user journey.
If this is active on a production site, debug Data Manager API uploads.
Related HandL WP guides
Use these related guides when the same issue touches tracking, security, checkout, or crawler visibility.
Helpful references