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E2E Testing Framework for Microservices

Project description

Testing Engine Core

PyPI version Python 3.8+ License: MIT

A reusable E2E testing framework for microservices architectures.

Features

  • 🎯 Universal: Works with any REST API microservices
  • 🔧 Flexible: Dynamic service registration - no hardcoded dependencies
  • 🧪 Complete: HTTP requests, database assertions, message queue monitoring
  • 📝 Declarative: Clean DSL for defining test scenarios
  • 🔌 Extensible: Custom clients and step handlers
  • Backward Compatible: Works with existing POC services

Installation

From PyPI (Recommended)

pip install testing-engine-core

From Source (Development)

git clone https://github.com/MysticAladin/testing-engine-core.git
cd testing-engine-core
pip install -e .

Quick Start

Basic Usage (POC Services)

from engine.orchestrator import TestOrchestrator
from engine.scenario import TestScenario

# Initialize with default POC services
orchestrator = TestOrchestrator()

# Create test scenario
scenario = TestScenario("User Registration")
scenario.http_request(
    service="user",
    method="POST",
    endpoint="/api/users",
    json_data={
        "username": "testuser",
        "email": "test@example.com",
        "password": "SecurePass123!"
    },
    expected_status=201
)

# Execute
result = orchestrator.execute_scenario(scenario)
print(f"Test status: {result['status']}")

orchestrator.close()

Custom Services (Any Architecture)

from engine.config import EngineConfig, ServiceConfig

# Configure for your services
config = EngineConfig()
config.services = ServiceConfig.from_dict({
    "order": "http://order-api:8001",
    "payment": "http://payment-api:8002",
    "inventory": "http://inventory-api:8003"
})

orchestrator = TestOrchestrator(config)

# Use your service names
scenario = TestScenario("Order Flow")
scenario.http_request("order", "POST", "/api/orders", json_data=order_data)
scenario.http_request("payment", "POST", "/api/charge", json_data=payment_data)

orchestrator.execute_scenario(scenario)

Custom Authentication

from engine.clients import GenericServiceClient

class AuthClient(GenericServiceClient):
    def __init__(self, base_url, api_key):
        super().__init__(
            base_url,
            default_headers={"Authorization": f"Bearer {api_key}"}
        )

# Register custom client
orchestrator.register_service("secure_api", AuthClient(url, "your-api-key"))

Core Components

TestOrchestrator

Coordinates test execution across multiple services:

  • HTTP client management
  • Database inspection
  • Message queue monitoring
  • Test scenario execution

TestScenario

Declarative test definition:

  • http_request() - Make HTTP calls
  • wait_for_message() - Wait for RabbitMQ messages
  • assert_database() - Verify database state
  • custom_step() - Add custom logic

GenericServiceClient

Universal HTTP client for any REST API:

  • Automatic retries
  • Timeout handling
  • Convenience methods (get_json, post_json, etc.)
  • Custom headers support

Configuration

Environment Variables

# Services
export USER_SERVICE_URL=http://localhost:8001
export NOTIFICATION_SERVICE_URL=http://localhost:8002
export ADMIN_SERVICE_URL=http://localhost:8003

# Database
export DB_HOST=localhost
export DB_PORT=5432
export DB_NAME=testdb
export DB_USER=testuser
export DB_PASSWORD=testpass

# RabbitMQ
export RABBITMQ_HOST=localhost
export RABBITMQ_PORT=5672
export RABBITMQ_USER=testuser
export RABBITMQ_PASSWORD=testpass

Programmatic Configuration

config = EngineConfig()
config.services = ServiceConfig.from_dict({"api": "http://api:8080"})
config.database = DatabaseConfig(host="db.example.com", port=5432)
config.rabbitmq = RabbitMQConfig(host="mq.example.com", port=5672)

Advanced Features

Custom Step Handlers

def kafka_handler(step):
    kafka.publish(step.params['topic'], step.params['message'])

orchestrator.register_step_handler("kafka_publish", kafka_handler)

# Use in scenarios
scenario.custom_step(
    custom_type="kafka_publish",
    params={"topic": "events", "message": {...}}
)

Context Manager

with TestOrchestrator(config) as orchestrator:
    # Test code
    orchestrator.execute_scenario(scenario)
# Automatically cleaned up

Architecture Support

Works with any microservices architecture:

  • ✅ E-Commerce (order, payment, inventory, shipping)
  • ✅ IoT (device, telemetry, alerts)
  • ✅ Banking (account, transaction, fraud detection)
  • ✅ SaaS (user, subscription, billing)
  • ✅ And more...

Documentation

Requirements

  • Python 3.8+
  • PostgreSQL (for database assertions)
  • RabbitMQ (for message queue monitoring)
  • Your microservices

Testing

Run API tests (no infrastructure needed):

python test_api_only.py

Run full integration tests (requires running services):

python test_refactored_engine.py
## Real-World Usage

This library is being used in production for:
-  Event enrollment systems
-  E-commerce platforms
-  Microservices architectures

**Proven reusability:** Successfully integrated into multiple projects with different architectures, databases, and endpoints.

## Links

- **PyPI:** https://pypi.org/project/testing-engine-core/
- **GitHub:** https://github.com/MysticAladin/testing-engine-core
- **Issues:** https://github.com/MysticAladin/testing-engine-core/issues

## License

MIT License

## Contributing

Contributions welcome! This engine is designed to be universal and extensible.

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

Contributions welcome! This engine is designed to be universal and extensible.

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