feat: Initial Pydantic processor implementation from original PR #1
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Summary of Changes
Hello @mbeacom, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request delivers the initial implementation of a Pydantic-based validation processor for the genai-processors ecosystem. It enables robust data schema enforcement for JSON content flowing through AI pipelines, complete with configurable validation behaviors. The changes also establish a solid foundation for development, including comprehensive testing, detailed documentation, and standardized code quality tools.
Highlights
- New PydanticValidator Processor: I've introduced a new
PydanticValidatorprocessor within thegenai-processorsframework. This processor is designed to validate JSON data against Pydantic models, ensuring data integrity in AI pipelines. It includes aValidationConfigfor flexible behavior, allowing for strict mode and fail-fast options. - Comprehensive Documentation and Examples: Detailed documentation has been added to
README.mdexplaining the motivation, installation, configuration, and usage of thePydanticValidator. An example (examples/generic_example.py) demonstrates how to use the validator, handle validation results, and route data based on outcomes. - Robust Test Suite: A comprehensive test suite (
genai_processors_pydantic/tests/test_validator.py) has been implemented to cover various scenarios, including successful validation, failed validation in permissive and strict modes, passthrough behavior for non-JSON parts, and error handling for invalid JSON. - Development Workflow Enhancements: I've configured pre-commit hooks (
.pre-commit-config.yaml) for code formatting (black), linting (ruff), and security checks (bandit) to maintain code quality. The project's Python version has also been updated to3.13(.python-version). - Project Metadata and Dependencies: The
pyproject.tomlfile has been added to define project metadata, specify dependencies (genai-processors>=1.0.4,pydantic>=2.0), and configure build, testing, and linting tools.
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Pull Request Overview
This PR introduces a new PydanticValidator processor for validating JSON data against Pydantic models within the genai-processors framework, along with configuration, documentation, examples, and tests. Key changes include:
- Implementation of
PydanticValidatorandValidationConfigwith strict and fail-fast options. - Comprehensive documentation in
README.mdand a runnable example inexamples/generic_example.py. - A robust test suite covering validation modes, error handling, and passthrough behavior.
- Project metadata updates (
pyproject.toml,.python-version, pre-commit hooks) for packaging and workflow.
Reviewed Changes
Copilot reviewed 9 out of 10 changed files in this pull request and generated 2 comments.
Show a summary per file
| File | Description |
|---|---|
| pyproject.toml | Defined package metadata, dependencies, and tooling configurations |
| genai_processors_pydantic/validator.py | Added PydanticValidator implementation with success/failure handling |
| genai_processors_pydantic/tests/test_validator.py | Added tests for various validation scenarios |
| genai_processors_pydantic/tests/init.py | Initialized the test module |
| genai_processors_pydantic/init.py | Exported PydanticValidator, ValidationConfig, and version |
| examples/generic_example.py | Provided a basic usage example for the validator in a stream |
| README.md | Documented installation, configuration, API, and pipeline usage |
| .python-version | Updated the development Python version to 3.13 |
| .pre-commit-config.yaml | Added pre-commit hooks for formatting and linting |
Comments suppressed due to low confidence (2)
README.md:27
- [nitpick] The
uv addinstruction is unclear or unsupported by most users; consider removing or explaining whatuvrefers to (e.g.,pip install).
Or with uv:
genai_processors_pydantic/validator.py:104
- The
_get_data_to_validatemethod returnsNoneon parse failure but its return type is annotated asJsonData; update it toJsonData | Nonefor accuracy.
) -> JsonData:
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Code Review
The pull request introduces a new PydanticValidator with comprehensive documentation, examples, and tests. The code is well-structured and the inclusion of pre-commit hooks is a solid choice for maintaining quality. The most critical issue is to avoid storing non-serializable Pydantic model instances in metadata to ensure robustness in distributed pipelines. Also consider aligning the Python version with the declared supported versions for better contributor accessibility, and address the issues in the README example and the performance improvement opportunity in the validator logic.
…ME with limitations and roadmap refactor: Improve validation metadata to store serialized data instead of Pydantic instances fix: Update example scripts for multi-model validation patterns and improve test cases chore: Clean up .gitignore and pre-commit configuration
|
/gemini review |
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Code Review
The pull request introduces a Pydantic-based JSON validator for the genai-processors framework. The review focuses on improving the examples to better demonstrate the streaming capabilities of the framework by avoiding buffering results into lists.
…d enhanced error handling
This pull request introduces a new package,
genai-processors-pydantic, which provides a Pydantic-based JSON validation processor for Google'sgenai-processorsframework. The changes include the implementation of the validator, examples to demonstrate its usage, and comprehensive tests to ensure its reliability. Additionally, the project configuration files have been updated to support the development environment.New Feature: PydanticValidator Implementation
genai_processors_pydantic/__init__.py: Introduced thePydanticValidatorprocessor andValidationConfigfor validating JSON data against Pydantic models. Added versioning (0.1.0) and metadata for the package.README.md: Added detailed documentation about thePydanticValidator, including its motivation, installation, configuration, behavior, and practical usage examples.Example and Demonstration
examples/generic_example.py: Created an example script demonstrating how to use thePydanticValidatorto validate JSON data, handle validation results, and route data based on validation status.Testing and Reliability
genai_processors_pydantic/tests/test_validator.py: Added tests for validating the functionality ofPydanticValidator, including scenarios for successful validation, failure handling, strict mode, and passthrough behavior for non-JSON parts.genai_processors_pydantic/tests/__init__.py: Added an initialization file for the test suite.Development Environment Setup
.pre-commit-config.yaml: Configured pre-commit hooks for code quality checks, including tools likeblack,ruff, andbandit. This ensures consistent formatting, linting, and security checks..python-version: Specified Python version3.13for the project environment.