noneapi 0.1.1

Small RPC framework based on ZeroMQ

NoneAPI (alpha)

This mini-framework (RPC like) allows you to easily build microservices that can communicate with each other like modules in a monolith. This project was inspired by the nameko framework.

🎯 Philosophy

Just call your microservices like you would any other function.

The goal of this framework is to simplify microservice interactions—no middleware necessary.

Performance: ~ 35000 requests per second on one worker

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📜 Table of Contents

1. Philosophy
2. Why Not Nameko or Others?
3. Features
4. Installation
5. Quick Start
6. Tutorials
7. API Reference
8. FAQ
9. Changelog
10. Contributing
11. License

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❓ Why Not Nameko or Others?

We leverage ZeroMQ to eliminate broker intermediaries.

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🌟 Features

• Fast and reliable with ZeroMQ
• Easy integration
• Decoupled architecture
• Event-driven design
• Multi-subscriber support
• No broker needed
• Zero learning curve
• Auto-generated documentation

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⚙️ Installation

Install via pip:

pip install noneapi

Quick Start

Here's how to get started with MyLibrary:

1. Install:

   pip install noneapi
   

2. Create order service:

   # services.py
   from noneapi import rpc
   from noneapi import Container, ContainerRunner
   from .db import order_session
   from .models import Order
   
   
   class OrderService:
   
       name = 'order_service'
   
       @rpc
       def get_order(self, order_id: int):
           order = order_session.query(Order).get(order_id)
           if not order:
               return None
   
           return order.to_dict()
   
       @rpc
       def save_order(self, order: dict):
           order = Order(**order)
           order_session.add(order)
           order_session.commit()
           return order.to_dict()
   
   # containers.py
   container = Container(OrderService)
   runner = ContainerRunner(is_document_server=False)
   runner.register(container, host="*", port=5555)
   
   
   # app.py
   from .containers import runner
   
   if __name__ == '__main__':
       runner.run()
   

3. Use by client:

   from noneapi import ClusterProxy
   from exceptions import RemoteError
   from .usecases import OrderUsecase
   config = [
       {
           "name": "order_service",
           "host": "127.0.0.1",
           "port": 5555
   
       }
   ]
   
   ...  # some other code
   
   with ClusterProxy(config) as cluster:
       order = cluster.order_service.get_order(1)
       order_usecase = OrderUsecase(order)
       updated_order = order_usecase.do_something()
       cluster.order_service.save_order.async_call(updated_order)
   
       ... # A lot of code
       
       try:
           result = cluster.order_service.save_order.result()
       except RemoteError as e:
           print(e)
           # do something
       else:
           # do something
   
       
   

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Tutorials

1. Install:

   pip install zero-connect
   

2. RPC:

   from noneapi import rpc
   
   
   class OrderService:
       name = 'order_service'
   
       @rpc
       def add_order(self, order: dict):
           # some code
           return order
   

   In this scenario, any service using zero-connect can communicate directly with this service by invoking the add_order method.

   • name: Identifier for the service. This is used for service discovery and is mandatory for each service.

   • @rpc: A decorator that makes the method available for remote procedure calls. Only methods tagged with this decorator can be remotely invoked.

3. Event handling

   from noneapi import rpc, event_handler, EventDispatcher, ServiceProxy
   
   class OrderService:
        name = 'order_service'
        payment_service = ServiceProxy(event_host="127.0.0.1", event_port=5556)
        
   
        @rpc
        def add_order(self, order: dict):
            # some code
            return order
        
        @event_handler(service_name='payment_service', topic='payment_success')
        def on_payment_success(self, order_id: int):
                # some code
                return order_id
   
   
   
   class PaymentService:
        name = 'payment_service'
        dispatch = EventDispatcher(port=5556, host='*')
        
        @rpc
        def pay(self, order_id: int):
            self.dispatch('payment_success', order_id)
            return order_id
   

   In this setup, we add an event_handler to OrderService and establish PaymentService with an EventDispatcher. Whenever a 'payment_success' event is dispatched by PaymentService, the on_payment_success method in OrderService will be triggered. Essentially, this mimics the publish/subscribe (pub/sub) pattern where you can subscribe to different topics.

   • @event_handler: A decorator used for methods that will be invoked when a specific event is dispatched. Only methods with this decorator respond to the event.

   • EventDispatcher: A class responsible for sending out events to all services that are listening via event_handler. The parameters port and host specify where the EventDispatcher will be available for dispatching events.

   • ServiceProxy: A class offering access to remote services. The optional parameters event_host and event_port define where the service listens for events. Because there are no message brokers, it's essential to know the publisher's location for event reception.

4. Containers:

   from noneapi import Container, ContainerRunner
   from .services import OrderService
   
   container = Container(OrderService)
   runner = ContainerRunner(is_document_server=False)
   runner.register(container, host="*", port=5555)
   runner.run()
   

   In this case, we create a container with one service and run it.

   • Container: A class that holds all services that will be available for remote calls.

   • ContainerRunner: A class responsible for running all registered containers and facilitating service discovery.

   • register: A method to register a container within the runner. It accepts container, host, and port as arguments. Both host and port are optional. By default, host is set to "*" and port to 5555.

   • run: A method that starts all the containers and the documentation service if applicable.

5. ClusterProxy:

   from noneapi import ClusterProxy
   from exceptions import RemoteError
   
   config = [
       {
           "name": "order_service",
           "host": "127.0.0.1",
           "port": 5555,
       }
   ]
   
   
   def main():
       with ClusterProxy(config) as cluster:
           order = cluster.order_service.add_order({"id": 1})
           print(order)
           try:
               result = cluster.order_service.add_order({"id": 1})
           except RemoteError as e:
               print(e)
               # do something
           else:
               # do something
   

   In this example, we create a ClusterProxy with a configuration that points to the order_service. The ClusterProxy is a context manager that allows us to access the service via cluster.order_service. The add_order method is invoked with a dictionary as an argument. The result is then printed to the console. If an error occurs, the RemoteError exception is raised.

   • ClusterProxy: A class that allows access to remote services. It accepts a configuration as an argument. The configuration is a list of dictionaries with the following keys: name, host, and port. The name is the identifier of the service. The host and port are the location of the service. Both host and port are optional. By default, host is set to `"

6. Async call:

   from noneapi import ClusterProxy
   from exceptions import RemoteError
   
   config = [
       {
           "name": "order_service",
           "host": "127.0.0.1",
              "port": 5555,
       }
   ]
   
   def main():
       with ClusterProxy(config) as cluster:
           cluster.order_service.add_order.async_call({"id": 1})
           # a lot of code
           try:
               result = cluster.order_service.result()
           except RemoteError as e:
               print(e)
               # do something
           else:
               # do something
   

   In this example, we create a ClusterProxy with a configuration that points to the order_service. The ClusterProxy is a context manager that allows us to access the service via cluster.order_service like in the previous example but with async_call that allow us to call method asynchronously. The result method is invoked without arguments and returned result.

7. Docs

   from noneapi import Container, ContainerRunner
   from .services import OrderService
   
   container = Container(OrderService)
   runner = ContainerRunner(is_document_server=True)
   runner.register(container, host="*", port=5555)
   runner.run()
   

   In this case, we create a container with one service and run it with documentation server. It will be always available on http://localhost:8081/

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Changelog

Version 0.1.0 (2023-10-29)(alpha)

• Initial release

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Contributing

To contribute, please fork the repository, make your changes, and submit a pull request.

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License

This project is licensed under the MIT License. See the LICENSE.md file for details.

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