Metadata-Version: 2.1
Name: fluxlib-py
Version: 0.3.0
Summary: FluxLib for Python
Home-page: https://github.com/flux-agi/fluxlib-py
Author: Eugene Zimnitskiy
Author-email: karpotkin@gmail.com
License: UNKNOWN
Description: # FluxLib Python SDK
        
        FluxLib is a powerful SDK for building distributed, message-based applications in the Flux ecosystem. It provides a robust framework for creating services and nodes that communicate via a message broker (such as NATS).
        
        ## Features
        
        - **Service-based Architecture**: Create and manage services that coordinate multiple nodes
        - **Node Management**: Build modular components with clear lifecycle management
        - **Message Passing**: Seamless communication between services and nodes
        - **State Management**: Flexible state handling for your application components
        - **Transport Abstraction**: Support for different message brokers (primarily NATS)
        
        ## Installation
        
        ### From GitHub
        
        ```shell
        pip install git+https://github.com/flux-agi/fluxlib-py.git
        ```
        
        ### Local Development
        
        For local development, clone the repository and install in editable mode:
        
        ```shell
        git clone https://github.com/flux-agi/fluxlib-py.git
        cd fluxlib-py
        pip install -e .
        ```
        
        ## Quick Start
        
        Here's a simple example of creating a service with a node:
        
        ```python
        import asyncio
        from fluxlib.service import Service, ServiceOptions
        from fluxlib.node import Node
        from fluxmq.adapter.nats import Nats
        from fluxmq.topic import Topic
        from fluxmq.status import Status
        
        # Create a service
        service = Service(service_id="my-service")
        
        # Create a transport (using NATS)
        transport = Nats()
        await transport.connect("nats://localhost:4222")
        
        # Attach transport to service
        service.attach(transport, Topic(), Status())
        
        # Define a node
        class MyNode(Node):
            async def on_start(self):
                print("Node started!")
                # Publish a message
                await self.service.publish("my-topic", {"message": "Hello from MyNode!"})
            
            async def on_stop(self):
                print("Node stopped!")
        
        # Add node to service
        my_node = MyNode(node_id="my-node", service=service)
        service.append_node(my_node)
        
        # Run the service
        await service.run()
        ```
        
        ## Core Components
        
        ### Service
        
        The `Service` class is the central component that manages nodes and handles messaging:
        
        ```python
        from fluxlib.service import Service, ServiceOptions
        
        # Create with default options
        service = Service(service_id="my-service")
        
        # Create with custom options
        options = ServiceOptions(hasGlobalTick=True, tickInterval=500)
        service = Service(service_id="my-service", opts=options)
        ```
        
        Key methods:
        - `attach(transport, topic, status)`: Connect the service to a transport
        - `run()`: Start the service and subscribe to service-level topics
        - `append_node(node)`: Add a node to the service
        - `publish(topic, message)`: Send a message to a topic
        - `subscribe(topic)`: Subscribe to a topic and get a queue for messages
        - `subscribe_handler(topic, handler)`: Subscribe to a topic with a handler function
        
        ### Node
        
        The `Node` class represents a modular component with a defined lifecycle:
        
        ```python
        from fluxlib.node import Node
        
        class MyNode(Node):
            async def on_init(self):
                # Called when the node is initialized
                pass
                
            async def on_start(self):
                # Called when the node is started
                pass
                
            async def on_stop(self):
                # Called when the node is stopped
                pass
                
            async def on_tick(self, time):
                # Called periodically if global tick is enabled
                pass
        ```
        
        ### State Management
        
        FluxLib provides flexible state management through the `StateSlice` class:
        
        ```python
        from fluxlib.state import StateSlice
        
        # Create a state slice
        state = StateSlice()
        
        # Set and get values
        state.set("key", "value")
        value = state.get("key")
        ```
        
        ## Best Practices
        
        1. **Service Organization**: Create a single service per application, with multiple nodes for different functionalities
        2. **Error Handling**: Implement proper error handling in node methods to prevent service crashes
        3. **Message Structure**: Use consistent message structures for better interoperability
        4. **State Management**: Use state slices to isolate state between different components
        5. **Connection Management**: Always ensure the transport is connected before subscribing to topics
        
        ## Troubleshooting
        
        ### Connection Issues
        
        If you're experiencing connection issues with the NATS server:
        
        1. Ensure the NATS server is running and accessible
        2. Check that the connection URL is correct
        3. Verify that the service is connecting to the transport before subscribing to topics
        
        Example of robust connection handling:
        
        ```python
        from fluxmq.adapter.nats import Nats
        
        transport = Nats()
        try:
            await transport.connect(
                "nats://localhost:4222",
                reconnect_time_wait=2,
                max_reconnect_attempts=10,
                connect_timeout=10
            )
            print("Successfully connected to NATS server")
        except Exception as e:
            print(f"Failed to connect to NATS server: {str(e)}")
        ```
        
        ## Examples
        
        FluxLib comes with example scripts to help you get started:
        
        ### Echo Service Example
        
        The `simple_service.py` example demonstrates how to create a service with an echo node that responds to messages:
        
        ```shell
        # Run the echo service
        cd examples
        python simple_service.py
        ```
        
        This example shows:
        - Creating a service and attaching a NATS transport
        - Defining a node with lifecycle methods (init, start, stop)
        - Subscribing to topics and handling messages
        - Publishing responses
        
        ### Echo Client Example
        
        The `echo_client.py` example shows how to create a client that interacts with the echo service:
        
        ```shell
        # Run the echo client
        cd examples
        python echo_client.py
        ```
        
        This example demonstrates:
        - Connecting to NATS from a client application
        - Sending requests to a service
        - Subscribing to response topics
        - Handling responses asynchronously
        
        To run both examples together, start the service in one terminal and the client in another.
        
        ## Contributing
        
        ### Version Release
        
        To release a new version:
        
        ```shell
        cz bump
        git push
        ```
        
        After that, reinstall the package in your project.
        
        ## License
        
        [Add license information here]
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6
Description-Content-Type: text/markdown
