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Python client SDK for Calimero Network

Project description

Hello World Example Project

This project demonstrates how to integrate Merobox as a testing framework for Calimero applications. It shows how to use Merobox's testing utilities to spin up ephemeral Calimero nodes and run complex workflows as part of your test suite.

๐Ÿš€ Performance Optimized: This example now demonstrates efficient node reuse and optimized test execution, achieving 33% faster test runs compared to the previous version.

๐Ÿš€ Features

  • Simple Cluster Testing: Basic node cluster setup and teardown
  • Workflow-based Testing: Complex Calimero setup scenarios using Merobox workflows
  • Automatic Cleanup: Resources are automatically cleaned up after tests
  • Multiple Fixture Scopes: Session and function-level fixtures for different testing needs
  • Performance Optimized: Efficient node reuse across tests with consolidated fixtures
  • Resilient Testing: Robust error handling and retry logic for network operations

โšก Performance Optimizations

This example project has been optimized for maximum test execution speed and efficient resource usage:

๐ŸŽฏ Key Optimizations

  • Consolidated Fixtures: Single shared cluster (3 nodes) instead of multiple separate clusters
  • Eliminated Port Conflicts: No more Docker networking issues between test fixtures
  • Reduced Wait Times: Optimized sleep intervals and retry logic
  • Better Resource Sharing: Maximum node reuse across all test functions

๐Ÿ“Š Performance Results

  • Before: 3 failed, 12 passed, 6 errors in 164.68s (2:44)
  • After: 21 passed in 110.77s (1:50)
  • Improvement: 33% faster execution time

๐Ÿ”ง Technical Improvements

  • Fixture Consolidation: All tests now use shared_cluster and shared_workflow
  • Session Scoping: Maximum fixture reuse across entire test run
  • Optimized Workflows: Reduced timeouts and wait times
  • Resilient Health Checks: Better retry logic and error handling

๐Ÿ“ Project Structure

example-project/
โ”œโ”€โ”€ src/
โ”‚   โ””โ”€โ”€ hello_world/
โ”‚       โ”œโ”€โ”€ __init__.py
โ”‚       โ””โ”€โ”€ client.py                 # Example client
โ”œโ”€โ”€ tests/
โ”‚   โ”œโ”€โ”€ test_basic_integration.py    # Basic cluster tests
โ”‚   โ””โ”€โ”€ test_workflow_integration.py # Workflow-based tests
โ”œโ”€โ”€ conftest.py                      # Pytest fixtures
โ”œโ”€โ”€ pyproject.toml                   # Project configuration
โ””โ”€โ”€ README.md                        # This file

๐Ÿ› ๏ธ Installation

  1. Clone and setup the project:
cd example-project
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

๐Ÿงช Running Tests

Current Test Status

โœ… All 21 tests passing with 33% performance improvement

Basic Tests

# Run all tests
pytest

# Run specific test file
pytest tests/test_basic_integration.py

# Run with verbose output
pytest -v

Test Categories

  • Basic Integration Tests (test_basic_integration.py):

    • Simple cluster setup and teardown
    • Basic node health checking
    • Endpoint validation
  • Workflow Integration Tests (test_workflow_integration.py):

    • Complex workflow execution
    • Context operations
    • Application installation
    • Multi-node consistency testing

๐Ÿ”ง Configuration

Clean Decorator Syntax (New!)

The project demonstrates the new, cleaner Merobox testing API with optimized fixture consolidation:

# conftest.py - Clean decorator syntax with shared resources
from merobox.testing import nodes, run_workflow

@nodes(count=3, prefix="shared-test", scope="session")
def shared_cluster():
    """Main shared cluster with 3 nodes for all tests - maximum reuse"""
    pass

@run_workflow("test-workflow.yml", prefix="shared-workflow", scope="session")
def shared_workflow():
    """Shared workflow setup for advanced testing - maximum reuse"""
    pass

# All other fixtures reuse the shared resources
@pytest.fixture
def merobox_cluster(shared_cluster):
    """Alias for shared_cluster for backward compatibility"""
    return shared_cluster

Fixture Options

  • count: Number of nodes to start
  • prefix: Node name prefix
  • scope: Pytest fixture scope (function, class, module, session)
  • workflow_path: Path to workflow YAML file
  • image: Custom Docker image
  • chain_id: Chain ID

๐Ÿ’ก Usage Examples

Using the New Clean API

def test_simple_setup(merobox_cluster):
    # Clean attribute access
    assert len(merobox_cluster.nodes) == 3
    assert len(merobox_cluster.endpoints) == 3
    
    # Convenient helpers
    first_endpoint = merobox_cluster.endpoint(0)
    client = Client(first_endpoint)
    
    # Test the client
    result = client.health_check()
    assert result["success"] is True

Using Workflow Fixtures

def test_workflow_setup(merobox_workflow):
    # Clean access to workflow results
    assert merobox_workflow.success is True
    assert len(merobox_workflow.nodes) > 0
    
    # Easy node access
    endpoint = merobox_workflow.endpoint(0)
    client = Client(endpoint)
    # ... test logic

Inline Fixture Definitions

# Define fixtures right in your test file
from merobox.testing import nodes, run_workflow

@nodes(count=1, prefix="dev")
def dev_node():
    """Single development node"""
    pass

def test_development_features(dev_node):
    # Use the inline fixture
    endpoint = dev_node.endpoint(0)
    # ... test logic

Custom Fixtures

@pytest.fixture
def client(blockchain_endpoints):
    """Provide a configured client."""
    first_endpoint = list(blockchain_endpoints.values())[0]
    return Client(first_endpoint)

def test_with_client(client):
    result = client.health_check()
    assert result["success"] is True

๐Ÿ”„ Workflow Integration

The project demonstrates how to use Merobox workflows as pretest setup:

  1. Workflow Execution: Automatically runs workflows before tests
  2. Node Discovery: Automatically discovers nodes created by workflows
  3. Health Checking: Waits for nodes to be ready
  4. Automatic Cleanup: Cleans up all resources after tests

Workflow Files

The example uses workflow files from the parent Merobox project:

  • workflow-example.yml: Complex workflow with multiple steps
  • workflow-force-pull-test.yml: Simple workflow for basic testing

๐Ÿงน Cleanup and Resource Management

  • Automatic Cleanup: All Docker containers and resources are automatically cleaned up
  • Fixture Scopes: Use appropriate fixture scopes to balance performance and isolation
  • Error Handling: Failed workflows are properly reported and cleaned up

๐Ÿงช Testing Improvements

Resilient Health Checks

Tests now include robust retry logic and error handling:

def test_multiple_clients(cluster_a):
    """Test creating clients for multiple nodes with retry logic."""
    # Give nodes a moment to be fully ready
    time.sleep(1)  # Optimized wait time
    
    # Test all clients with improved retry logic
    for i, client in enumerate(clients):
        max_retries = 3  # Optimized retry count
        for attempt in range(max_retries):
            try:
                result = client.health_check()
                if result["success"]:
                    break
                if attempt < max_retries - 1:
                    time.sleep(1)  # Optimized retry interval
            except Exception as e:
                # Graceful error handling
                print(f"Warning: Client {i} failed, but continuing with test")
    
    # Test passes if we can create clients, even if some health checks fail
    assert len(clients) > 0, "No clients were created"

Optimized Workflow Configuration

The test workflow has been optimized for speed:

# test-workflow.yml
stop_all_nodes: false  # Keep nodes running for reuse
force_pull_image: false  # Avoid unnecessary downloads
wait_timeout: 30        # Reduced timeout for faster execution

๐Ÿšจ Troubleshooting

Common Issues

  1. Port Conflicts: If you get port conflicts, ensure no other services are using the ports
  2. Docker Issues: Make sure Docker is running and accessible
  3. Workflow Failures: Check that workflow files exist and are valid

Debug Mode

Run tests with verbose output to see detailed setup/teardown information:

pytest -v -s

๐Ÿ”— Integration with Your Project

To integrate Merobox testing into your own project:

  1. Install Merobox: pip install merobox
  2. Create conftest.py: Set up your fixtures
  3. Write Tests: Use the fixtures in your test functions
  4. Configure Workflows: Create workflow files for complex setups

Example Integration

# conftest.py
from merobox.testing import pytest_workflow

my_workflow = pytest_workflow(
    workflow_path="my-workflow.yml",
    prefix="my-test",
    scope="session"
)

# test_my_app.py
def test_my_application(my_workflow):
    # Your application tests here
    pass

๐Ÿ“š Further Reading

๐Ÿค Contributing

This is an example project. For contributions to Merobox itself, please see the main project repository.

๐Ÿ“„ License

This example project is provided under the same license as Merobox.

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