testing-engine-core 0.1.0

E2E Testing Framework for Microservices

Testing Engine Core

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 Source (Development)

pip install -e .

From Wheel

pip install testing-engine-0.1.0-py3-none-any.whl

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": "[e-mail]",
        "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

• Reusability Guide - Complete guide for using with any services
• Examples - 6 complete usage examples
• How-to Guide - Practical usage patterns

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

License

MIT License

Contributing

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