🧩 BridgeX — API-to-Database Integration Framework (Beta Stage)

BridgeX is a lightweight, modular Python framework that simulates and manages seamless data integration between external APIs and local databases.
It is designed to demonstrate core concepts of modern data engineering pipelines — fetching, transforming, and storing structured data — while maintaining a clean service-oriented architecture.

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🚀 Project Status

Current Stage: Beta (Integration Testing Phase)
Completed Milestones:
✅ Mock API Simulation (Alpha Stage)
✅ Unit Testing (All Core Classes Passed)
🟡 Integration Testing (In Progress)

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🏗️ Architecture Overview

BridgeX follows a three-layer architecture, designed for clarity, scalability, and easy testing.

APIClient  →  UserServices  →  DatabaseClient
   ↓             ↓                 ↓
 Fetch       Process/Logic       Store

• APIClient — Handles all external API interactions, fetching user data via HTTP requests.
• DatabaseClient — Manages persistent storage of data using SQLite (or extendable DB engines).
• UserServices — The logic layer that connects API and Database clients, transforms data, and returns processed results.

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📦 Features

• 🔗 Seamless API–Database Bridge — Fetches real-time data and persists it locally.
• ⚙️ Clean Service-Layer Design — Decoupled architecture for scalability.
• 🧪 Comprehensive Unit Tests — Mock-based testing for reliability.
• 💾 SQLite-Powered Storage — Simple, lightweight, and portable database integration.
• 🧱 Extensible Architecture — Plug-and-play capability for future REST, GraphQL, or NoSQL APIs.
• 🔍 Ready for Integration Tests — Supports connection with real or mock APIs for end-to-end validation.

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📁 Project Structure

BridgeX/
├── rev.py                 # Core source code (APIClient, DatabaseClient, UserServices)
├── test_rev.py            # Unit tests using pytest and mocker
├── requirements.txt       # Project dependencies
├── README.md              # Documentation (this file)
└── test_users.db          # Test database (auto-generated during runs)

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🧠 Core Components

🧩 APIClient

Responsible for making GET requests to fetch user data from an external API.

response = requests.get(
    f"http://api.example.com/users?username={username}&email={email}&age={age}"
)

Future Upgrade: Replace api.example.com with a real or locally simulated Flask/FastAPI endpoint for integration testing.

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💾 DatabaseClient

Handles all database interactions such as saving user data or retrieving existing records.

conn = sqlite3.connect('users.db')
cursor = conn.cursor()
cursor.execute('INSERT INTO users VALUES (?, ?, ?)', (username, email, age))

Supports: SQLite (default), extendable for PostgreSQL or MySQL.

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⚙️ UserServices

Connects API and DB layers — fetches data, saves to DB, and returns processed output.

def register_user(self, username, email, age):
    api_get = self.api_client.get_user_data(username, email, age)
    user_get = self.db_client.save_user(api_get['username'], api_get['email'], api_get['age'])
    return user_get['username'].upper()

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🧪 Testing

✅ Unit Tests

Located in test_rev.py, using pytest and pytest-mock.

pytest -v

These tests:

• Mock both API and database interactions.
• Validate method calls and output integrity.
• Ensure the service logic behaves correctly without real API calls.

⚙️ Integration Tests (Beta)

This stage involves replacing the mock API with:

• A real public API (e.g., https://randomuser.me/api), or
• A local Flask/FastAPI simulation endpoint.

Example Integration Test:

def test_register_user_integration():
    api_client = APIClient()
    db_client = DatabaseClient('test_users.db')
    services = UserServices(api_client, db_client)

    result = services.register_user('sulaimon majeed', 'sulaimonmajeed@example.com', 25)
    assert result == 'SULAIMON MAJEED'

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⚡ Setup & Usage

1️⃣ Clone the repository

git clone https://github.com/<your-username>/BridgeX.git
cd BridgeX

2️⃣ Install dependencies

pip install -r requirements.txt

3️⃣ Run unit tests

pytest -v

4️⃣ Run integration test (after API setup)

pytest -v -k "integration"

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🧰 Requirements

Package	Purpose
requests	API communication
pytest	Unit testing
pytest-mock	Mocking dependencies
sqlite3	Local data storage (built-in)

(Include these in your requirements.txt)

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🧩 Future Roadmap

Stage	Description
v1.0.0	Full integration testing with real API
v1.1.0	Add duplicate record handling and input validation
v1.2.0	Implement async requests using aiohttp
v1.3.0	Introduce configuration files and environment variables
v2.0.0	Deploy BridgeX as a microservice (FastAPI + PostgreSQL)

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🧑‍💻 Developer Notes

• BridgeX was designed as a learning and portfolio project showcasing practical Python architecture for data integration.
• The framework can evolve into a production-ready middleware layer with more robust error handling and configuration management.
• Ideal for demonstrating knowledge in data engineering, API integration, and software testing.

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🏁 Author

** Developed by:** Adewale Abdulmuiz Akorede

• adewaleabdulmuiz75@gmail.com )
• LinkedIn – Abdulmuiz (Akorede) Adewale

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🏷️ License

This project is released under the MIT License — free for learning, modification, and contribution.

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🏁 Current Project Status

✅ Mock/Unit Test Stage — Completed
✅ Local Integration Test — Completed
🔄 API Integration Test — In Progress
🚀 Final Deployment — Upcoming

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