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A modern C++ linter written in Python

Project description

Niti by Vajra

Documentation Discord PyPI

Fast, Modern, Lean Linter for C++ code for Vajra. Easy to configure no frills supercharged C++ linter with plugin support for custom rules.

Setup

Installation

pip install niti

Usage

Basic Linting

# Lint a single file
niti path/to/file.cpp

# Lint a directory (recursively finds all C++ files)
niti path/to/project/

# Lint current directory
niti .

# Show help and available options
niti --help

# List all available rules
niti --list-rules

# List rules with descriptions
niti --list-rules --verbose

Discovering Available Rules

Before disabling rules, you can discover what rules are available and which ones are triggering:

# See all available rules and their categories
niti --list-rules

# Run linter to see which rules are being triggered
niti --check your_project/

# Get detailed information about specific rule violations
niti --check --verbose your_file.cpp

Configuration File (.nitirc or niti.yaml)

Create a .nitirc or niti.yaml file in your project root to customize linting behavior:

# Basic configuration
documentation_style: doxygen  # Options: doxygen, javadoc, plain
copyright_holders:
  - "Your Organization"
  - "Your Team"

# File organization
header_extensions: [".h", ".hpp", ".hxx"]
source_extensions: [".cpp", ".cc", ".cxx"] 
excluded_paths: ["/kernels/", "/test/", "/build/"]

# Disable specific rules globally  
disabled_rules:
  - type-forbidden-int
  - modern-missing-noexcept
  - doc-function-missing

# Enable specific rules (overrides defaults)
enabled_rules:
  - modern-nodiscard-missing
  - doc-function-param-desc-quality

# Override rule severities
rule_severities:
  naming-function-case: error
  safety-raw-pointer-param: warning
  doc-class-missing: info

Disabling Rules

Niti supports multiple approaches for rule suppression:

Configuration-based (global):

# .nitirc or niti.yaml
rules:
  type-forbidden-int:
    enabled: false
  naming-variable-case:
    severity: warning

Comment-based (NOLINT):

int value = 42;  // NOLINT
int badName = 10;  // NOLINT naming-variable-case
int multiple = 99;  // NOLINT type-forbidden-int,naming-variable-case

// NOLINTNEXTLINE type-forbidden-int
int nextLine = 24;

File-level disable:

// NOLINT naming-variable-case
// NOLINT type-forbidden-int

๐Ÿ“š Complete Rule Suppression Guide โ†’

Development

Prerequisites

  • Python 3.8 or higher

Setting Up Development Environment

We recommend using a virtual environment to isolate dependencies. You can use either uv or conda:

Option 1: Using uv (Recommended)

# Clone the repository
git clone https://github.com/project-vajra/niti.git
cd niti

# Create and activate virtual environment with uv
uv venv
source .venv/bin/activate 

# Install dependencies
# For development:
uv pip install -r requirements-dev.txt
# Install Niti
uv pip install -e .

# Or install directly with optional dependencies:
uv pip install -e .[dev]

Option 2: Using conda/mamba

# Clone the repository
git clone https://github.com/project-vajra/niti.git
cd niti

# Create conda environment from file
conda env create -f environment.yml
conda activate niti

# Install the package in editable mode
pip install -e .

# Or use the Makefile for convenience
make install-dev

Installing Dependencies

The project has the following main dependencies:

  • pyyaml: For configuration file parsing
  • tree-sitter & tree-sitter-cpp: For C++ code parsing

Development dependencies include:

  • pytest: Testing framework
  • black, isort & autoflake: Code formatting and cleanup
  • flake8 & mypy: Linting and type checking
  • pytest-cov: Coverage reporting

Note: Niti is not yet available on PyPI. For now, please install from source as shown above.

Development Workflow

Running Tests using PyTests

Niti has a comprehensive test suite organized into unit and integration tests:

# Run all tests
pytest

# Run all tests with coverage report
pytest --cov=niti --cov-report=html

# Run only unit tests (fast, isolated)
pytest -m unit

# Run only integration tests (slower, end-to-end)
pytest -m integration

# Run tests for specific rule categories
pytest test/unit/naming/           # Naming convention rules
pytest test/unit/safety/           # Safety rules
pytest test/unit/modern_cpp/       # Modern C++ rules
pytest test/unit/documentation/    # Documentation rules

# Run tests with verbose output
pytest -v

# Run a specific test file
pytest test/unit/types/test_type_rules.py

# Run a specific test method
pytest test/unit/naming/test_naming_rules.py::TestNamingFunctionCase::test_detects_snake_case_functions
Using the Custom Test Runner

The project includes a custom test runner for convenience:

# Run unit tests
python test/run_tests.py unit

# Run integration tests
python test/run_tests.py integration

# Run all tests
python test/run_tests.py all

# Run with verbose output and coverage
python test/run_tests.py unit -v -c
Test Structure

The test suite is organized as follows:

  • test/unit/: Fast, isolated unit tests organized by rule category
  • test/integration/: End-to-end integration tests
  • test/fixtures/: Reusable C++ code samples for testing
  • test/test_utils.py: Base classes and testing utilities

Each rule category has comprehensive positive (should pass) and negative (should fail) test cases using real C++ code examples.

Code Quality Checks

You can use individual commands or the convenient Makefile targets:

Using Makefile (Recommended)
# Format code (autoflake + black + isort)
make format

# Run linting (flake8 + mypy)
make lint

# Run tests
make test

# Run tests with coverage
make test-cov

# Show all available commands
make help

Project Structure

niti/
โ”œโ”€โ”€ niti/                   # Main package
โ”‚   โ”œโ”€โ”€ cli.py             # Command-line interface
โ”‚   โ”œโ”€โ”€ core/              # Core functionality
โ”‚   โ”‚   โ”œโ”€โ”€ config.py      # Configuration handling
โ”‚   โ”‚   โ”œโ”€โ”€ engine.py      # Linting engine
โ”‚   โ”‚   โ”œโ”€โ”€ issue.py       # Issue representation
โ”‚   โ”‚   โ””โ”€โ”€ severity.py    # Severity levels
โ”‚   โ””โ”€โ”€ rules/             # Linting rules (54+ rules across categories)
โ”‚       โ”œโ”€โ”€ base.py        # Base rule classes
โ”‚       โ”œโ”€โ”€ naming.py      # Naming convention rules
โ”‚       โ”œโ”€โ”€ safety.py      # Safety-related rules
โ”‚       โ”œโ”€โ”€ modern_cpp.py  # Modern C++ best practices
โ”‚       โ”œโ”€โ”€ documentation.py # Documentation requirements
โ”‚       โ”œโ”€โ”€ types.py       # Type system rules
โ”‚       โ””โ”€โ”€ ...            # Other rule categories
โ”œโ”€โ”€ test/                  # Comprehensive test suite
โ”‚   โ”œโ”€โ”€ unit/              # Unit tests by rule category
โ”‚   โ”‚   โ”œโ”€โ”€ naming/        # Tests for naming rules
โ”‚   โ”‚   โ”œโ”€โ”€ safety/        # Tests for safety rules
โ”‚   โ”‚   โ”œโ”€โ”€ modern_cpp/    # Tests for modern C++ rules
โ”‚   โ”‚   โ”œโ”€โ”€ documentation/ # Tests for documentation rules
โ”‚   โ”‚   โ”œโ”€โ”€ types/         # Tests for type system rules
โ”‚   โ”‚   โ””โ”€โ”€ ...            # Other rule category tests
โ”‚   โ”œโ”€โ”€ integration/       # End-to-end integration tests
โ”‚   โ”œโ”€โ”€ fixtures/          # Reusable C++ code samples
โ”‚   โ”œโ”€โ”€ test_utils.py      # Testing base classes and utilities
โ”‚   โ””โ”€โ”€ run_tests.py       # Custom test runner
โ”œโ”€โ”€ pyproject.toml         # Project configuration
โ”œโ”€โ”€ Makefile              # Development workflow commands
โ”œโ”€โ”€ CLAUDE.md             # Claude Code assistant guidance or for other Agentic tools
โ””โ”€โ”€ README.md             # This file

Examples

Full sample on using the Linter in a large-scale C++ project in the Vajra project will be out soon. We're building Vajra the second-generation LLM serving engine in C++. Watch out this space for more details soon.

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

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