evolvishub-notification-adapter 0.1.3

A notification system adapter for Evolvishub

Evolvishub Notification Adapter

A flexible notification system adapter for Evolvishub applications. This library provides a simple interface for managing notifications with SQLite backend storage.

About

This project is part of the Evolvis AI ecosystem, providing intelligent notification management capabilities for Evolvishub applications.

Author

Alban Maxhuni, PhD
Email: [e-mail]

Features

• Async SQLite-based notification storage
• Support for different notification types (info, warning, error, success)
• Category-based notification organization
• Bulk notification operations
• Configurable through YAML or INI files
• Built-in logging system
• Easy to use async API
• Type hints for better IDE support
• Comprehensive test suite with pytest and pytest-asyncio

Installation

pip install evolvishub-notification-adapter

Quick Start

import asyncio
from evolvishub_notification_adapter import Notification, NotificationDB, Config, Category

async def main():
    # Initialize with your application's configuration file
    config = Config("/path/to/your/config.yaml")  # or .ini file
    
    # Use async context manager for proper resource management
    async with NotificationDB(config) as db:
        # Add a simple notification
        notification_id = await db.add_notification("Hello, World!", "info")

        # Add a notification with category and metadata
        category_id = await db.add_category("updates", "System updates")
        notification_id = await db.add_notification(
            "New version available",
            "info",
            category_id=category_id,
            metadata={"version": "1.2.0", "changes": ["Bug fixes", "New features"]}
        )

        # Get unread notifications
        unread = await db.get_unread_notifications()
        for notif in unread:
            print(f"Unread: {notif.message}")

        # Mark notifications as read
        await db.mark_as_read(notification_id)  # Single notification
        await db.mark_many_as_read([1, 2, 3])  # Multiple notifications

        # Get all notifications with filters
        all_notifs = await db.get_all_notifications(
            category_id=category_id,
            notif_type="info",
            limit=10,
            offset=0
        )

# Run the async main function
asyncio.run(main())

Advanced Usage

Working with Categories

async def manage_categories():
    async with NotificationDB(config) as db:
        # Add a new category
        category_id = await db.add_category("alerts", "Important system alerts")

        # Get all categories
        categories = await db.get_categories()
        for category in categories:
            print(f"Category: {category.name} - {category.description}")

        # Get notifications by category
        category_notifs = await db.get_all_notifications(category_id=category_id)

# Run the async function
asyncio.run(manage_categories())

Bulk Operations

async def bulk_operations():
    async with NotificationDB(config) as db:
        # Add multiple notifications at once
        notifications = [
            {
                "message": "System update available",
                "type": "info",
                "category_id": category_id,
                "metadata": {"version": "1.2.0"}
            },
            {
                "message": "Disk space low",
                "type": "warning",
                "category_id": category_id,
                "metadata": {"space_left": "500MB"}
            }
        ]
        notif_ids = await db.add_notifications(notifications)

        # Mark multiple notifications as read
        await db.mark_many_as_read(notif_ids)

# Run the async function
asyncio.run(bulk_operations())

Working with Metadata

async def metadata_example():
    async with NotificationDB(config) as db:
        # Add notification with metadata
        notification_id = await db.add_notification(
            "User action required",
            "warning",
            metadata={
                "user_id": 123,
                "action": "verify_email",
                "expires_at": "2024-03-20T00:00:00Z"
            }
        )

        # Get notification and access metadata
        notifications = await db.get_all_notifications()
        notification = notifications[0]
        user_id = notification.metadata.get("user_id")

# Run the async function
asyncio.run(metadata_example())

Configuration

The library requires a configuration file to be provided by your application. You can use either YAML or INI format.

YAML Configuration Example

Create a config.yaml file in your application:

database:
  path: notifications.db
  directory: ./data

logging:
  enabled: true
  level: INFO

INI Configuration Example

Create a config.ini file in your application:

[database]
path = notifications.db
directory = ./data

[logging]
enabled = true
level = INFO

Configuration Options

• database.path: Name of the SQLite database file
• database.directory: Directory where the database file will be stored
• logging.enabled: Enable/disable logging
• logging.level: Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)

Testing

The library includes a comprehensive test suite using pytest and pytest-asyncio. The tests cover:

• Basic notification operations (create, read, update)
• Category management
• Bulk operations
• Error handling
• Database state management
• Async context manager functionality

To run the tests:

# Install test dependencies
pip install -e ".[test]"

# Run all tests
pytest

# Run tests with coverage
pytest --cov=evolvishub_notification_adapter

# Run specific test file
pytest tests/test_notification.py

# Run tests with verbose output
pytest -v

Requirements

• Python 3.7 or higher
• aiosqlite 0.19.0 or higher
• PyYAML 6.0.1 or higher
• pytest 7.0.0 or higher (for testing)
• pytest-asyncio 0.21.0 or higher (for testing)

Development

To set up the development environment:

# Clone the repository
git clone https://github.com/yourusername/evolvishub-notification-adapter.git
cd evolvishub-notification-adapter

# Create and activate virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run linting
flake8
black .

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run tests and ensure they pass
5. Submit a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.