datamodel-code-generator

Version updated for https://github.com/koxudaxi/datamodel-code-generator to version 0.49.0.

  • This action is used across all versions by 2,494 repositories.

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Action Summary

The datamodel-code-generator GitHub Action automates the generation of Python data models from schema definitions such as OpenAPI, JSON Schema, GraphQL, and raw data formats like JSON, YAML, and CSV. It simplifies handling complex schemas and produces type-safe, validated code compatible with popular Python frameworks like Pydantic, dataclasses, TypedDict, and msgspec. This tool addresses the need for efficient, accurate model creation, saving developers time and reducing errors in schema-based projects.

Release notes

Breaking Changes

SchemaParseError for Invalid Schema Data

  • Schema validation errors now raise SchemaParseError instead of Pydantic ValidationError - When parsing invalid schema data (e.g., "minimum": "not_a_number"), the library now raises SchemaParseError instead of passing through Pydantic’s ValidationError. Users catching pydantic.ValidationError for schema validation failures should update to catch SchemaParseError. The original error is preserved in the original_error attribute. (#2786)

Bug Fixes

CLI Now Correctly Outputs to stdout

  • Fixed CLI to actually output to stdout when --output is not specified - The --output argument has always documented (default: stdout) in --help, but previously no output was produced. Now works as documented. (#2787)

Other Notable Changes

  • generate() function now returns str | GeneratedModules | None instead of None - Existing code ignoring the return value is unaffected. (#2787)
  • Error message for multi-module output without directory changed to be more descriptive. (#2787)

What’s Changed

Full Changelog: https://github.com/koxudaxi/datamodel-code-generator/compare/0.48.0...0.49.0