Validator Antd Form

Tool to validate Ant Design form configurations, ensuring rule adherence and real-time feedback for reliable user input and cleaner data pipelines.

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About This Tool

The tool analyzes Ant Design form configurations to verify enforcement of declared validators and cross-field rules. It accepts a form schema and optional test payloads, producing a detailed per-field report and an overall validity assessment. This helps developers catch misconfigurations before runtime and supports reliable UI behavior.
For example, given fields username, password, and confirm_password, the tool checks required, min/max length, and ensures password equality, while cross-field constraints like age >= 18 are also evaluated. The analysis is schema-driven, not tied to rendering, and focuses on logical correctness and consistency with Ant Design conventions.
Benefits include improved data quality, quicker feedback during development, and CI-ready outputs for automated checks. Unique value lies in simulating user input against field rules, detecting conflicts, and offering actionable fixes. Use cases include migrating forms, validating complex rule sets, and ensuring cross-field integrity across large schemas.
Core features cover rule extraction, test payload simulation, per-field results, conflict detection, and exportable reports; optional capabilities include dependency graphs and automated fix suggestions suitable for integration into build pipelines.

How to Use

  1. Provide a form_schema describing fields and rules.
  2. Optionally supply test_payloads to simulate inputs.
  3. Run validation to generate per-field results and a summary.
  4. Review conflicts and suggested fixes; iterate schema accordingly.
  5. Export the validation report for CI or QA records.
How to use validator antd form

Frequently Asked Questions

Find Quick Answers

What formats are accepted for the form schema?
The tool accepts a standard JSON object representing Ant Design form fields with rules arrays. Each field should include a name and a list of validator objects (required, min, max, pattern, type, etc.).
Can it handle cross-field dependencies?
Yes. The tool evaluates cross-field constraints (for example, field A must be greater than field B) by applying the configured rules against provided payloads and reporting any violations.
Is the output CI-friendly?
Yes. The tool generates a structured validation_report suitable for JSON or CSV export, enabling automated checks in CI pipelines and QA workflows.
Does it validate custom validators?
It supports integration with custom validators by evaluating their effects through test_payloads and reporting applicability, conflicts, and expected inputs if the custom logic is described in the schema.

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