dockepy 0.1.0

A Python library for Docker container management and GitHub Actions CI/CD integration

Docker CI/CD Manager Documentation

Overview

Docker CI/CD Manager is a Python library that provides a simple and powerful interface for managing Docker containers, building images, and integrating with GitHub Actions for automated CI/CD pipelines.

Features

• Container Management: Create, run, stop, and manage Docker containers
• Image Operations: Pull, build, and manage Docker images
• Test Automation: Create test containers for automated testing
• CI/CD Integration: GitHub Actions workflows for automated testing and deployment
• Error Handling: Comprehensive error handling and logging
• Cleanup Utilities: Automatic cleanup of test containers

Installation

Prerequisites

• Python 3.8 or higher
• Docker installed and running
• pip package manager

Install from source

git clone <repository-url>
cd docker-cicd-manager
pip install -r requirements.txt
pip install -e .

Quick Start

Basic Usage

from docker_cicd_manager import DockerManager

# Initialize Docker Manager
docker_manager = DockerManager()

# Create a test container
container = docker_manager.create_test_container(
    image="ubuntu:latest",
    command="echo 'Hello from Docker!'",
    name="my-test-container"
)

# Get container logs
logs = docker_manager.get_container_logs(container.id)
print(logs)

# Stop the container
docker_manager.stop_container(container.id)

# Cleanup
docker_manager.close()

Advanced Usage

from docker_cicd_manager import DockerManager

docker_manager = DockerManager()

# Create multiple test containers
containers = []
for i in range(3):
    container = docker_manager.create_test_container(
        image="python:3.11-slim",
        command=f"python -c 'print(\"Container {i+1} is working!\")'",
        name=f"test-container-{i+1}"
    )
    containers.append(container)

# Wait for completion and check logs
import time
time.sleep(3)

for container in containers:
    logs = docker_manager.get_container_logs(container.id)
    print(f"Container {container.id}: {logs}")

# Cleanup all test containers
cleaned_count = docker_manager.cleanup_test_containers()
print(f"Cleaned up {cleaned_count} containers")

docker_manager.close()

API Reference

DockerManager Class

Constructor

DockerManager(base_url=None)

• base_url (str, optional): Docker daemon URL. If None, uses default socket.

Methods

create_test_container(image, command, name=None, **kwargs)

Create a test container with the specified image.

Parameters:

• image (str): Docker image to use
• command (str): Command to run in the container
• name (str, optional): Container name
• **kwargs: Additional container configuration options

Returns: Container object

Raises:

• ImageError: If image not found
• ContainerError: If container creation fails

get_container_logs(container_id)

Get logs from a container.

Parameters:

• container_id (str): Container ID or name

Returns: Container logs as string

Raises:

• ContainerError: If container not found

stop_container(container_id)

Stop a running container.

Parameters:

• container_id (str): Container ID or name

Returns: True if successful

Raises:

• ContainerError: If container not found

list_containers(all_containers=False)

List Docker containers.

Parameters:

• all_containers (bool): If True, include stopped containers

Returns: List of container objects

pull_image(image, tag="latest")

Pull a Docker image.

Parameters:

• image (str): Image name
• tag (str): Image tag

Returns: Image object

Raises:

• ImageError: If image pull fails

build_image(path, tag, dockerfile="Dockerfile")

Build a Docker image from a Dockerfile.

Parameters:

• path (str): Path to build context
• tag (str): Image tag
• dockerfile (str): Dockerfile name

Returns: Image object

Raises:

• ImageError: If image build fails

cleanup_test_containers()

Clean up all test containers.

Returns: Number of containers cleaned up

get_docker_info()

Get Docker daemon information.

Returns: Dictionary with Docker daemon info

close()

Close the Docker client connection.

Testing

Running Tests

# Run all tests
python -m pytest tests/ -v

# Run specific test
python -m pytest tests/test_docker_manager.py::TestDockerManager::test_create_simple_test_container -v

# Run with coverage
python -m pytest tests/ -v --cov=docker_cicd_manager --cov-report=html

# Use the test runner script
python run_tests.py

Test Categories

• Unit Tests: Test individual methods and functions
• Integration Tests: Test Docker integration
• Error Handling Tests: Test error scenarios

CI/CD Integration

GitHub Actions

The library includes GitHub Actions workflows for:

• Continuous Integration: Automated testing on push/PR
• Code Quality: Linting, formatting, type checking
• Security Scanning: Bandit and Safety checks
• Docker Testing: Integration tests with Docker
• Release Management: Automated releases

Workflow Files

• .github/workflows/ci.yml: Main CI pipeline
• .github/workflows/release.yml: Release automation

Examples

Basic Examples

See examples/basic_usage.py for simple usage examples.

Advanced Examples

See examples/advanced_usage.py for complex scenarios.

Error Handling

The library provides comprehensive error handling:

• DockerManagerError: Base exception
• ContainerError: Container-related errors
• ImageError: Image-related errors

Code Style

• Follow PEP 8
• Use Black for formatting
• Use Flake8 for linting
• Use MyPy for type checking

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests for new functionality
5. Run the test suite
6. Submit a pull request

License

MIT License

Support

For issues and questions:

• Create an issue on GitHub
• Check the documentation
• Review the examples