code-chunker 1.3.2

A pragmatic multi-language code parser optimized for LLM applications

Code Chunker

A pragmatic multi-language code parser optimized for LLM applications and RAG systems.

Features

• Multi-language support: Python, JavaScript, TypeScript, Solidity, Go, Rust
• Optimized for LLMs: Provides structured output ideal for language models
• Lightweight: Minimal dependencies, fast parsing
• Configurable: Adjust chunk sizes, confidence thresholds, and more
• Easy to use: Simple API with both file and directory parsing
• Incremental parsing: Efficiently update parse results when code changes
• Enhanced language support:
  • TypeScript/React: Component, Hook, and Context detection
  • Solidity: Smart contract metadata extraction (visibility, modifiers, payable)
  • Go: Concurrency pattern detection (goroutines, channels, mutexes)

Installation

pip install code-chunker

Quick Start

from code_chunker import CodeChunker

# Initialize the chunker
chunker = CodeChunker()

# Parse a code string
code = """
def hello_world():
    print("Hello, World!")
"""

result = chunker.parse(code, language='python')

# Print the chunks
for chunk in result.chunks:
    print(f"{chunk.type.value}: {chunk.name} (lines {chunk.start_line}-{chunk.end_line})")

# Parse a file
result = chunker.parse_file('example.py')

# Parse a directory
results = chunker.parse_directory('src/')

Configuration

from code_chunker import CodeChunker, ChunkerConfig

config = ChunkerConfig(
    max_chunk_size=2000,
    min_chunk_size=100,
    include_comments=True,
    confidence_threshold=0.8
)

chunker = CodeChunker(config=config)

Incremental Parsing

Incremental parsing allows you to efficiently update parse results when code changes, without reparsing the entire file.

from code_chunker import CodeChunker, IncrementalParser

# Initialize the incremental parser
incremental_parser = IncrementalParser()

# First parse (full parse)
result1 = incremental_parser.full_parse("path/to/file.py")

# After file changes, perform an incremental parse
result2 = incremental_parser.incremental_parse("path/to/file.py")

# Compare the results
print(f"Full parse chunks: {len(result1.chunks)}")
print(f"Incremental parse chunks: {len(result2.chunks)}")

Enhanced Language Support

TypeScript/React Support

Code Chunker provides specialized support for React components, hooks, and contexts:

from code_chunker import CodeChunker, ChunkerConfig, get_config_for_use_case

# Get React-optimized configuration
config = ChunkerConfig(**get_config_for_use_case('typescript', 'react'))
chunker = CodeChunker(config=config)

# Parse React component
result = chunker.parse(react_code, language='typescript')

# Filter for React components
components = [chunk for chunk in result.chunks if chunk.type.value == 'component']
for component in components:
    print(f"Component: {component.name} (type: {component.metadata.get('component_type')})")

Solidity Smart Contract Support

Enhanced metadata extraction for smart contracts:

from code_chunker import CodeChunker, ChunkerConfig, get_config_for_use_case

# Get Solidity-optimized configuration
config = ChunkerConfig(**get_config_for_use_case('solidity', 'contract'))
chunker = CodeChunker(config=config)

# Parse Solidity contract
result = chunker.parse(contract_code, language='solidity')

# Find payable functions
payable_functions = [
    chunk for chunk in result.chunks 
    if chunk.type.value == 'function' and chunk.metadata.get('is_payable', False)
]

Go Concurrency Pattern Detection

Automatically detect concurrency patterns in Go code:

from code_chunker import CodeChunker, ChunkerConfig, get_config_for_use_case

# Get Go-optimized configuration
config = ChunkerConfig(**get_config_for_use_case('go', 'performance'))
chunker = CodeChunker(config=config)

# Parse Go code
result = chunker.parse(go_code, language='go')

# Find functions with goroutines
concurrent_funcs = [
    chunk for chunk in result.chunks 
    if chunk.type.value in ['function', 'method'] 
    and 'goroutines' in chunk.metadata.get('concurrency_patterns', {})
]

Supported Languages

• Python (.py)
• JavaScript (.js, .jsx)
• TypeScript (.ts, .tsx)
• Solidity (.sol)
• Go (.go)
• Rust (.rs)

Examples

The examples/ directory contains several examples demonstrating different features:

Basic Usage

Simple parsing examples:

python examples/basic_usage.py

Advanced Usage

Custom configuration and analysis:

python examples/advanced_usage.py

Incremental Parsing

Efficient parsing of code changes:

python examples/incremental_parsing.py

RAG Integration

Integration with RAG systems:

python examples/rag_integration.py

Edge Cases

Testing various edge cases across languages:

python examples/edge_cases.py

Performance Analysis

Analyze parsing performance:

python examples/performance_analysis.py

Code Quality Analysis

Analyze code quality metrics:

python examples/quality_analysis.py <file_path>

Visualization

Generate code structure visualization:

python examples/visualization.py <file_path>

API Reference

CodeChunker

The main class for parsing code.

chunker = CodeChunker(config=None)

Methods

• parse(code: str, language: str) -> ParseResult: Parse a code string
• parse_file(file_path: Union[str, Path]) -> ParseResult: Parse a file
• parse_directory(directory: Union[str, Path], recursive: bool = True, extensions: Optional[List[str]] = None) -> List[ParseResult]: Parse a directory

IncrementalParser

For efficient incremental parsing.

parser = IncrementalParser(chunker=None)

Methods

• full_parse(file_path: str) -> ParseResult: Perform a full parse and cache the result
• parse_incremental(file_path: str, changes: List[Tuple[int, int, str]]) -> ParseResult: Parse incrementally based on changes
• invalidate_cache(file_path: Optional[str] = None) -> None: Invalidate cache for a file or all files

How Incremental Parsing Works

1. Initial Parse: The first parse of a file is a full parse, which is cached
2. Change Detection: When changes are made, only affected code regions are identified
3. Selective Reparsing: Only affected chunks are reparsed, preserving the rest
4. Result Merging: Updated chunks are merged with unchanged chunks
5. Smart Caching: Results are cached for future incremental updates

ParseResult

The result of parsing code.

Attributes

• language: str: The programming language
• file_path: Optional[str]: Path to the source file
• chunks: List[CodeChunk]: List of code chunks
• imports: List[Import]: List of imports
• exports: List[str]: List of exports
• raw_code: str: The original code

CodeChunk

Represents a piece of code.

Attributes

• type: ChunkType: The type of chunk (function, class, etc.)
• name: Optional[str]: The name of the chunk
• code: str: The actual code
• start_line: int: Starting line number
• end_line: int: Ending line number
• language: str: Programming language
• confidence: float: Confidence score (0-1)
• metadata: Dict[str, Any]: Additional metadata

Dependencies

• For basic usage: No external dependencies
• For performance analysis: psutil
• For visualization: Modern web browser to view generated HTML

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Development Setup

1. Clone the repository
2. Install development dependencies:

   pip install -e ".[dev]"
   

3. Run tests:

   pytest
   

4. Format code:

   black code_chunker/
   

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

If you find this project helpful, consider supporting its development:

• ⭐ Star this repository
• 🐛 Report bugs and suggest features
• 🤝 Submit pull requests
• 💰 EVM(ETH, ARB, BNB, OP..etc): 0x8f74959530dba14394b27faac92955aa96927e8b

Acknowledgments

Thanks to all contributors and the open-source community for their support.