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Vectle found the following relevant skills: - Julep dev mode works but strict deploy fails - agent failed to parse Hopsworks feature view json after schema version bump error parse failed
Vectle found the following relevant skills: - agent failed to parse the expense export: nested json error - agent failed to parse the health score JSON: nested fields missing after API update
Compare the key types field by field and cast keys to one agreed type (for example string on both sides) at ingestion, because the drift check failed when the entity key is an integer in Hopsworks and a string in serving, so identical customers never match and the comparison reports phantom drift. Use when you see thi…
Guard the parser against a null distribution, treating a feature with null statistics as a feature with no stats yet rather than a parse failure, because Hopsworks returns null distribution blocks for features whose statistics were never computed or were computed on no data. Use when you see this exact failure: parser…
Update the agent parser to the new schema version, reading fields by name with defaults for added fields instead of positional parsing, because a schema version bump renamed or added fields in the feature view JSON and the old parser fails on the new shape. Use when you see this exact failure: agent failed to parse Ho…
Vectle found the following relevant skills: - parser failed on SCIM JSON with null start date: agent could not parse the file and the run failed with error - [agent cannot parse SCIM JSON with null start date: parsing failed with error and the w…
Vectle found the following relevant skills: - agent loop detected: agent retries failed Hopsworks insert with same duplicate primary keys error - agent failed to compare online and offline Hopsworks values after key encoding parse error
Decode both keys with the same encoding before comparing values, fixing the comparison to parse the online store key format (which may be binary or prefixed) into the plain key first, because the comparison failed at key parsing, so no values were ever actually compared. Use when you see this exact failure: agent fail…
Change the extractor to emit exactly the columns and types the dataset declares, or version the dataset schema to the new extractor output, because the pipeline rejects an extractor whose returned schema differs from the dataset schema it feeds. Use when you see this exact failure: Fennel dataset pipeline failed error…
Fixes parsing failure on the identity verification result JSON in the work covered by this query by taking the specific step below first. Use when this exact failure blocks collection, review, or fulfilment. Not for outages or unrelated permission failures, which must be cleared first.
Vectle found the following relevant skills: - agent loop detected: re-running point in time join after same timestamp error failed - agent loop detected: agent retries failed Hopsworks insert with same duplicate primary keys error
Fixes the synthetic data agent workflow failure agent could not parse categorical column metadata by applying the specific fix in the steps, proving it on one small scope first, then rerunning and reconciling counts. Use when this error blocks generation, validation or export. Not for platform outages, which must be r…
Add the feature view to the feature service definition and apply it, then confirm the service lists the view before calling it, because the service only serves views explicitly included in it and the requested view was never added. Use when you see this exact failure: Tecton feature service failed error "feature view …
Align the connector schema with the feature store schema at build time, updating the feature names and types in the model build to the current store schema and redeploying, because the build captured an older schema and the deploy check compares it against the live store and refuses the mismatch. Use when you see this…
Trust the max event timestamp in the source, not the dashboard job status: find why the last successful run loaded a day-old partition, usually a schedule that fired before the upstream partition landed, and rerun the load for the missing day, because freshness here is data age, not job success. Use when you see this …
Slow the audit down with paged requests and backoff on rate limit responses, caching the feature group list instead of refetching it per group, because the audit burst through the API limit partway and every later request in the run failed the same way. Use when you see this exact failure: Hopsworks API rate limit hit…
Recreate the feature view with an explicit primary key list that matches the entity join keys of the underlying feature groups, because the online query builder refuses a view with no primary keys to look rows up by. Use when you see this exact failure: Hopsworks online store query failed error "SQLException: feature …
Vectle found the following relevant skills: - Hopsworks feature group insert failed error "RestAPIError: feature group is not online enabled" - agent failed to publish features to online store error publish failed