cpu-loader 0.0.2

A tool to generate CPU load on a system with runtime configuration through a WebUI and REST API

CPU Loader

A tool to generate CPU load on a system with runtime configuration through a WebUI and REST API.

Features

• 🔥 Controllable CPU Load: Generate precise CPU load per thread
• 🎛️ Per-Thread Control: Individual sliders for each CPU thread
• 🚀 REST API: Full programmatic control via HTTP endpoints
• 🌐 Modern WebUI: Beautiful, responsive interface for real-time control
• ⚡ Instant Response: Changes take effect immediately
• 📊 Live Monitoring: View active threads and average load in real-time

Screenshots

WebUI Interface

Individual thread control with sliders and preset buttons

Setting all threads to 50% load

Maximum load across all threads

Installation

From Pre-built Wheels (Recommended)

Pre-compiled wheels are available for Linux (x86_64, ARM64) and macOS (x86_64, ARM64):

pip install cpu-loader

From Source

1. Clone the repository:

git clone https://github.com/the78mole/cpu-loader.git
cd cpu-loader

2. Install dependencies and build C extension:

uv pip install -e .

This will compile the high-performance C extension for efficient CPU load generation.

3. (Optional) Set up pre-commit hooks for development:

pre-commit install

4. (Optional) Set up commit message template for semantic versioning:

git config commit.template .gitmessage

See COMMIT_MESSAGE_FORMAT.md for commit message guidelines.

Usage

Starting the Server

uv run src/main.py

The server will start on http://localhost:8000

WebUI

Open your browser and navigate to http://localhost:8000

Features:

• Individual Thread Control: Use sliders to set load for each thread (0-100%)
• Preset Buttons: Quick-set all threads to 0%, 10%, 25%, 50%, 80%, 90%, or 100%
• Live Stats: View active thread count and average load
• Real-time Updates: Changes are applied instantly with visual feedback

REST API

Get Thread Status

curl http://localhost:8000/api/threads

Response:

{
  "num_threads": 4,
  "loads": {
    "0": 0.0,
    "1": 0.0,
    "2": 0.0,
    "3": 0.0
  }
}

Set Load for Specific Thread

curl -X PUT http://localhost:8000/api/threads/0/load \
  -H "Content-Type: application/json" \
  -d '{"load_percent": 50.0}'

Set Load for All Threads

curl -X POST http://localhost:8000/api/threads/load/all \
  -H "Content-Type: application/json" \
  -d '{"load_percent": 75.0}'

Change Number of Threads

curl -X POST http://localhost:8000/api/threads \
  -H "Content-Type: application/json" \
  -d '{"num_threads": 8}'

API Documentation

Once the server is running, visit http://localhost:8000/docs for interactive API documentation powered by Swagger UI.

Example Script

An example script (src/example.py) is provided to demonstrate programmatic control:

# Start the server first
uv run src/main.py

# In another terminal, run the example
uv run src/example.py

The example demonstrates:

• Getting current status
• Setting all threads to a specific load
• Gradually increasing load
• Individual thread control
• Resetting to idle

Architecture

• src/cpu_loader_core.c: High-performance C implementation using pthreads for CPU load generation
• src/cpu_loader.py: Python wrapper providing a clean API to the C extension
• src/main.py: FastAPI application with REST API and embedded WebUI
• Threading Model: Native pthreads for maximum efficiency and precise timing
• Load Algorithm: High-resolution busy-wait loops with nanosecond precision

Requirements

• Python 3.8+
• FastAPI 0.115.0+
• Uvicorn 0.32.0+
• Pydantic 2.10.0+
• C compiler (gcc or clang) for building the extension

Use Cases

• Performance Testing: Test application behavior under various CPU loads
• Stress Testing: Validate system stability under high CPU utilization
• Thermal Testing: Check cooling system effectiveness
• Power Consumption Analysis: Measure power usage at different load levels
• Benchmarking: Create reproducible load scenarios

Development

Pre-commit Hooks

This project uses pre-commit hooks to ensure code quality. The hooks include:

• Code Formatting: Black and isort for consistent Python formatting
• Linting: Flake8 for code quality checks
• Type Checking: Mypy for static type analysis
• General Checks: Trailing whitespace, end-of-file fixes, YAML/JSON/TOML validation

To run pre-commit manually on all files:

pre-commit run --all-files

The hooks will run automatically on git commit after installation.

Building and Publishing Releases

The project uses automatic semantic versioning with GitHub Actions:

Versioning Rules

Versions are automatically determined based on commit messages:

• Patch bump (0.0.X): Every commit to main
• Minor bump (0.X.0): Commits prefixed with feat:

  git commit -m "feat: add new CPU monitoring feature"
  

• Major bump (X.0.0): Commits with major:, breaking:, or BREAKING CHANGE:

  git commit -m "major: redesign API interface"
  git commit -m "breaking: remove deprecated endpoints"
  

Release Process

1. Commit and push to main:

   git add .
   git commit -m "feat: add WebSocket support"
   git push origin main
   

2. Automated workflow:

   • Version is automatically calculated using semantic versioning
   • Wheels are built for Linux (x86_64, ARM64) and macOS (x86_64, ARM64)
   • Python versions: 3.8, 3.9, 3.10, 3.11, 3.12
   • Source distribution (sdist) is created
   • All artifacts are published to PyPI
   • A GitHub Release is created with version tag and artifacts

License

MIT License - see LICENSE file for details.