Skip to main content

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
  • Production-Ready: Battle-tested in real-world microservices environments

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

from engine.orchestrator import TestOrchestrator
from engine.scenario import TestScenario
from engine.config import EngineConfig, ServiceConfig

# Configure for your services
config = EngineConfig()
config.services = ServiceConfig.from_dict({
    "api": "http://localhost:8000"
})

orchestrator = TestOrchestrator(config)

# Create test scenario
scenario = TestScenario("User Registration")
scenario.http_request(
    service="api",
    method="POST",
    endpoint="/api/users/register",
    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)

Environment-Agnostic Configuration

Use the built-in config loader to write tests that work across dev/staging/prod:

from engine import get_test_config, get_service_url
from engine.clients import GenericServiceClient

# Load config from environment variables or config files
config = get_test_config()  # Auto-loads from TEST_ENV or config files

# Get service URLs
api_url = get_service_url('api')
client = GenericServiceClient(api_url)

# Or use with orchestrator
from engine.config import EngineConfig, ServiceConfig
engine_config = EngineConfig()
engine_config.services = ServiceConfig.from_dict(config['services'])
orchestrator = TestOrchestrator(engine_config)

See Configuration Guide for details.

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

testing_engine_core-0.4.1.tar.gz (27.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

testing_engine_core-0.4.1-py3-none-any.whl (30.1 kB view details)

Uploaded Python 3

File details

Details for the file testing_engine_core-0.4.1.tar.gz.

File metadata

  • Download URL: testing_engine_core-0.4.1.tar.gz
  • Upload date:
  • Size: 27.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.11

File hashes

Hashes for testing_engine_core-0.4.1.tar.gz
Algorithm Hash digest
SHA256 47d876bca40329620b3459459814be0a2bb98529c8252a825c41ae59fa311896
MD5 e28a8799001e82654ee7a13048e4e072
BLAKE2b-256 5830f1a42dd803a99f6556ad0fbcb23d20ed0c9fa094d1d9dc0f62ae1c354699

See more details on using hashes here.

File details

Details for the file testing_engine_core-0.4.1-py3-none-any.whl.

File metadata

File hashes

Hashes for testing_engine_core-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c7fb9dbc38fa8930c6345c01a1e53235bb2b5a388a41f10812b5705564796c7d
MD5 26f26af9d490b7c72b135359755fd205
BLAKE2b-256 540985b8f4cea291fdd8819b3b8c71268087d240f76895bb325ee928465de350

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page