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ZAM-366: Implement parser.py in analyzers directory #108
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ZAM-366: Implement parser.py in analyzers directory #108
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Reviewer's GuideThis PR fills in the missing parser layer by adding a comprehensive File-Level Changes
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Description
This PR implements the missing
parser.pymodule in thecodegen-on-oss/codegen_on_oss/analyzers/directory. The module provides specialized parsing functionality for code analysis, including abstract syntax tree (AST) generation and traversal for multiple programming languages.Features Implemented
Core Parser Classes:
ASTNode: Base class for AST nodes with traversal capabilitiesBaseParser: Abstract base class for all parsersCodegenParser: Parser implementation using Codegen SDKPythonParser,JavaScriptParser,TypeScriptParserUtility Functions:
create_parser: Factory function to create appropriate parser for a languageparse_file: Convenience function to parse a fileparse_code: Convenience function to parse code directlySymbol and Dependency Analysis:
Documentation and Examples:
Integration
The parser module is now integrated with the existing analyzer modules through the
__init__.pyfile, making it available for use in code analysis workflows.Testing
Added comprehensive unit tests in
tests/test_analyzers_parser.pyto ensure the parser works correctly.Fixes ZAM-366
💻 View my work • About Codegen
Summary by Sourcery
Add a new parser framework in the analyzers directory to generate and traverse ASTs for multiple languages, integrate it into the package exports, document its usage, and ensure correctness with examples and unit tests.
New Features:
Enhancements:
Documentation:
Tests:
Description by Korbit AI
What change is being made?
Implement
parser.pyto provide code parsing and Abstract Syntax Tree (AST) generation functionality for multiple programming languages in theanalyzersdirectory, updateREADME.mdaccordingly, and adjust__init__.pyfor module exports.Why are these changes being made?
This implementation provides essential parsing capabilities necessary for comprehensive static code analysis, symbol extraction, and dependency analysis across different languages (Python, JavaScript, TypeScript), supporting the broader goal of improving code quality, PR validation, and error detection within the Codegen project. This modularity allows easy integration and scalability of the analyzers' capabilities.