VERIFIES THE PARAMETERS IN THE STUDY

Validates the parameters defined in a d3VIEW study against an expected dataset, identifying mismatches and errors. Use this worker to catch configuration drift or parameter inconsistencies before submitting a study for execution.

When to use

Tagged: diff, parameters, responses, study, validation, verification.

Inputs

Label ID Type Default Required Description
Study Id study_id remote_lookup Unique identifier of the target study, selected via remote lookup from the available studies registry; required to locate the parameter set to verify.
Parameters parameters dataset Dataset containing the expected parameter names and values to validate against the study’s current configuration; each row represents one parameter entry.

Outputs

Label ID Type Description
Status status text Overall verification result as a plain-text string (e.g. ‘PASS’ or ‘FAIL’), summarising whether all parameters matched successfully.
Dataset with Differences diff_dataset dataset Tabular dataset listing every parameter with a detected discrepancy, including the expected value, actual value, and error type for each mismatch.
Total Errors by Name diff_sum keyvalue Key-value map grouping the total number of errors by parameter name, useful for quickly identifying the most problematic parameters.
Statuses statuses keyvalue Key-value map of per-parameter verification statuses (e.g. ‘OK’, ‘MISSING’, ‘MISMATCH’), providing fine-grained pass/fail detail for each checked parameter.

Disciplines

  • cae.postprocessing.response
  • platform.workflow

Auto-generated from platform schema. Worker id: study_verify_parameters. Schema hash: a9fd1730bbe8. Hand-curated docs in workerexamples/ override this page when present.