connectiva 0.1.0

A Unified Microservice Communication Library

Connectiva

Connectiva: A Unified Microservice Communication Library

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Overview

Connectiva is a powerful and flexible Python library designed to streamline communication across diverse microservices architectures. Whether you're using REST APIs, gRPC, Kafka, WebSockets, or traditional message brokers, Connectiva provides a unified interface to handle all your communication needs effortlessly.

Features

• Protocol Agnostic: Automatically detects and adapts to the communication protocol being used, whether it's REST, gRPC, Kafka, RabbitMQ, WebSockets, GraphQL, or file-based communication.
• Ease of Use: Leverages an intuitive, consistent API that allows you to connect, send, receive, and disconnect seamlessly across different communication methods.
• Extensibility: Built with modularity in mind, allowing developers to extend or customize communication strategies as needed.
• Efficiency: Utilizes efficient connection management and message handling to ensure robust performance in high-load environments.

Installation

Connectiva can be easily installed using Poetry, a dependency management tool for Python.

Using Poetry

To install Connectiva using Poetry, run the following command:

poetry add connectiva

Using pip

Alternatively, you can install Connectiva using pip:

pip install connectiva

Supported Protocols

Connectiva supports the following communication protocols:

• REST APIs
• gRPC
• Kafka
• RabbitMQ (and other message brokers)
• WebSockets
• GraphQL
• File-based communication

Usage

Here's a quick guide to using Connectiva in your Python projects:

1. Initialize Connectiva

from connectiva import Connectiva, Message

# Instantiate Connectiva with desired configuration
connectiva = Connectiva(
    endpoint="kafka://localhost:9092",
    broker_list="localhost:9092",
    topic="my_topic",
    group_id="my_group"
)

2. Connect to the Communication Endpoint

connectiva.connect()

3. Send a Message

message = Message(action="process", data="Hello, Kafka!")
response = connectiva.send(message)
print(f"Response: {response}")

4. Receive a Message

received_message = connectiva.receive()
print(f"Received: {received_message}")

5. Disconnect

connectiva.disconnect()

Configuration

Connectiva is designed to be flexible and can be configured to suit your needs. Here's an example configuration:

connectiva = Connectiva(
    endpoint="grpc://localhost:50051",
    topic="my_topic",
    queue_name="my_queue",
)

Extending Connectiva

Connectiva is built with extensibility in mind. You can easily extend the library by adding new communication strategies or customizing existing ones. Simply create a new strategy class that implements the CommunicationMethod interface and add it to the strategy map.

Contributing

We welcome contributions to Connectiva! If you'd like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Make your changes and commit them.
4. Push your changes to your fork.
5. Create a pull request on the main repository.

Please ensure that your code follows the project's style guidelines and includes appropriate tests.

License

Connectiva is released under the MIT License. See the LICENSE file for more details.

Authors

• Ali Tavallaie - [e-mail]

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Thank you for using Connectiva! We hope it simplifies your microservice communication needs.