mirror of
https://github.com/tiqi-group/pydase.git
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116 lines
3.1 KiB
Markdown
116 lines
3.1 KiB
Markdown
# pydase (Python Data Service)
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`pydase` is a Python library for creating data service servers with integrated web and RPC servers. It's designed to handle the management of data structures, automated tasks, and callbacks, and provides built-in functionality for serving data over different protocols.
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## Features
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- Integrated web and RPC servers
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- Automated task management
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- Event-based callback functionality for real-time updates
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- Built-in support for serving data over different protocols
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- Support for additional servers for specific use-cases
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## Installation
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Install pydase using [`poetry`](https://python-poetry.org/):
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```bash
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poetry add git+https://github.com/tiqi-group/pydase.git
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```
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or `pip`:
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```bash
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pip install git+https://github.com/tiqi-group/pydase.git
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```
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## Usage
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Using `pydase` involves two main steps: defining a `DataService` subclass and then running the server.
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### Defining a DataService
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To use pydase, you'll first need to create a class that inherits from `DataService`. This class represents your custom data service, which will be exposed via RPC (using rpyc) and a web server. Your class can implement class / instance attributes and synchronous and asynchronous tasks.
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Here's an example:
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```python
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from pydase import DataService
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class Device(DataService):
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_current = 0.0
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_voltage = 0.0
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_power = False
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@property
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def current(self):
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# run code to get current
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return self._current
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@current.setter
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def current(self, value):
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# run code to set current
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self._current = value
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@property
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def voltage(self):
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# run code to get voltage
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return self._voltage
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@voltage.setter
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def voltage(self, value):
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# run code to set voltage
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self._voltage = value
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@property
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def power(self):
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# run code to get power state
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return self._power
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@power.setter
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def power(self, value):
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# run code to set power state
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self._power = value
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def reset(self):
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self.current = 0.0
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self.voltage = 0.0
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```
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In the above example, we define a Device class that extends DataService. We define a few properties (current, voltage, power) and their getter and setter methods.
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### Running the Server
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Once your DataService is defined, you can create an instance of it and run the server:
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```python
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from pydase import Server
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# ... defining the Device class ...
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if __name__ == "__main__":
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service = Device()
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Server(service).run()
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```
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This will start the server, making your Device service accessible via RPC and a web server at http://localhost:8001.
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### Accessing the Web Interface
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Once the server is running, you can access the web interface in a browser:
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In this interface, you can interact with the properties of your `Device` service.
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## Documentation
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For more details about usage and features, see the [full documentation](URL_TO_YOUR_DOCUMENTATION).
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## Contributing
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We welcome contributions! Please see [CONTRIBUTING.md](URL_TO_YOUR_CONTRIBUTING_GUIDELINES) for details on how to contribute.
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## License
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`pydase` is licensed under the [MIT License](./LICENSE). |