Metadata-Version: 2.4
Name: codemetrica
Version: 0.1.0
Summary: A package for calculating metrics and detecting code smells
Home-page: https://github.com/sparklabOrg/codemetrica
Author: Rafed Muhammad Yasir
Author-email: rafed123@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python
Dynamic: summary

# Codemetrica

A Python library for calculating code metrics and detecting code smells in Python codebases using tree-sitter.

## Features

- Comprehensive code metrics calculation
- Code smell detection
- Support for analyzing Python files, classes, and methods
- Easy-to-use API
- Powered by tree-sitter for robust parsing

## Prerequisites

- Python 3.10 or higher
- GCC compiler (for building tree-sitter grammar)
- Git (for cloning tree-sitter repository)

## Installation

```bash
# Clone the repository
git clone https://github.com/yourusername/codemetrica.git
cd codemetrica

# Install the package
pip install -e .
```

The installation process will:
1. Clone the tree-sitter-python repository
2. Build the tree-sitter grammar
3. Install the package in development mode

## Quick Start

```python
from codemetrica import File, GodClass

# Analyze a Python file
f = File("example.py")

# Get all classes in the file
classes = f.get_classes()

# Check for code smells
for class_obj in classes:
    if GodClass.detect(class_obj):
        print(f"Found God Class: {class_obj.name}")
```

## Available Metrics

### Size Metrics
- Lines of Code (LOC)
- Source Lines of Code (SLOC)
- Kilo Lines of Code (KLOC)
- Comment Lines of Code (CLOC)
- Number of Methods (NOM)
- Number of Classes (NOC)
- Number of Fields (NOF)
- Number of Public Methods (NOPM)

### Complexity Metrics
- Cyclomatic Complexity (CC)
- Weighted Methods per Class (WMC)
- NPath Complexity
- Essential Complexity
- Halstead Metrics
- Nested Block Depth (NBD)
- Decision Density

### Object-Oriented Metrics
- Depth of Inheritance Tree (DIT)
- Number of Children (NOC)
- Response for a Class (RFC)
- Coupling Between Objects (CBO)
- Lack of Cohesion of Methods (LCOM)
- And more...

## Available Code Smells

### General Smells
- Broken Modularization
- Complex Conditional
- Deficient Encapsulation
- Dispersed Coupling
- Empty catch clause
- And more...

### Class Level Smells
- Brain Class
- Class Data Should Be Private
- Complex Class
- Data Class
- God Class
- Large Class
- Lazy Class

### Method Level Smells
- Abstract Function Call From Constructor
- Brain Method
- Complex Method
- Long Method
- Long Parameter List

## Development

To build the tree-sitter grammar manually:

```bash
# Clone tree-sitter-python if not already done
git clone https://github.com/tree-sitter/tree-sitter-python.git

# Build the grammar
gcc -shared -o build/my-languages.so -I./tree-sitter-python/src tree-sitter-python/src/parser.c -fPIC
```

## License

MIT License 
