Validator Deprecated Pydantic
A multi-field tool that detects deprecated Pydantic validator usage and guides migration, helping Python developers maintain code compatibility across Pydantic versions.
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About This Tool
Conceptually, it uses a deprecation matrix derived from release notes to decide if a feature is deprecated in the specified library_version. It accepts inputs such as library_version, feature_name, and optional code_snippet, and returns structured outputs suitable for automation and reporting.
Unique value: the tool differentiates itself by offering migration steps tailored to the specific feature, including recommended alternatives and concrete code-change guidance. It works without executing runtime code, relying on static analysis and documented deprecations.
Core features include a) deprecation flag, b) since_version indicator, c) recommended alternative, d) migration plan, e) exportable JSON outputs for CI. Use cases include preparing a migration plan for a v1→v2 upgrade, auditing a codebase for deprecated validators, and generating automated reports for release notes.
How to Use
- Provide inputs: library_version, feature_name, and, if available, code_snippet and project_language.
- Run analysis to determine deprecation status and suggested migration paths.
- Review outputs: is_deprecated, deprecated_since, alternative, and migration_steps.
- Apply recommended code changes in a safe branch and run tests.
- Integrate results into CI to enforce future compatibility.
Frequently Asked Questions
Find Quick Answers
What versions are covered by the deprecation matrix?
What if the deprecation is not detected?
Can this tool be integrated into CI pipelines?
What outputs help with code migration?
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