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python-api-consistency-validator

Validate API consistency between two versions of Python libraries. Use when you need to compare API behavior, signatures, and exceptions between library versions to identify breaking changes, incompatible modifications, and behavior differences. The skill performs static analysis of Python code, compares function signatures, class definitions, parameter types, return types, and generates a detaile

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Atualizado há 8 meses

Ver no GitHub ↗ Licença: Apache-2.0

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Python API Consistency Validator

Overview

This skill validates API consistency between two versions of Python libraries by comparing signatures, behavior, and exceptions. It identifies breaking changes, incompatible modifications, and provides detailed reports to guide safe API migration or upgrade.

Quick Start

# Compare two versions of a Python library
python scripts/validate.py /path/to/old_version /path/to/new_version

# Specify output file
python scripts/validate.py old_lib/ new_lib/ --output report.json

What Gets Validated

  1. Function Signatures - Parameters, return types, decorators
  2. Class Definitions - Methods, inheritance, attributes
  3. Parameter Changes - Added, removed, or modified parameters
  4. Return Type Changes - Modified return types
  5. Removed APIs - Deleted functions, classes, or methods

Validation Report

The tool generates a JSON report with:

  • Breaking Changes: API removals, incompatible modifications
  • Warnings: Type changes, signature modifications
  • Info: New additions, non-breaking changes
  • Summary: Total issues by severity

Example report:

{
  "summary": {
    "breaking_changes": 3,
    "warnings": 5,
    "info": 2
  },
  "breaking_changes": [
    {
      "type": "function_removed",
      "name": "deprecated_func",
      "severity": "breaking",
      "message": "Function 'deprecated_func' was removed"
    }
  ]
}

Usage

python scripts/validate.py <old_version_path> <new_version_path> [--output <report.json>]

The validator exits with code 1 if breaking changes are found, 0 otherwise.

Tips

  • Run validation before upgrading dependencies
  • Review breaking changes carefully
  • Check warnings for potential issues
  • Use in CI/CD pipelines to catch API changes
  • Compare against semantic versioning expectations
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