tabella 0.1.0

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Tabella

Open-RPC development framework with builtin interactive documentation.

Live Demo

A live demo is available here.

Install

Tabella is on PyPI and can be installed with:

pip install tabella

Or with Poetry

poetry add tabella

Python OpenRPC Docs

The RPC server hosted and documented by Tabella is powered by Python OpenRPC. Refer to the Python OpenRPC docs hosted here for advanced use.

Getting Started

A basic Tabella app:

from tabella import Tabella

app = Tabella()


@app.method()
def echo(a: str, b: float) -> tuple[str, float]:
    """Echo parameters back in result."""
    return a, b


if __name__ == "__main__":
    app.run()

Run this, then open http://127.0.0.1:8000/ in your browser to use the interactive documentation.

The Open-RPC API will be hosted over HTTP on http://127.0.0.1:8000/api and over WebSockets on ws://127.0.0.1:8000/api.

Further Usage

Routers

An app with many modules can be organized into segments using Method Routers.

Security and Depends Arguments

Tabella passes request headers to the RPCServer process request methods. Details on usage can be found in the Python OpenRPC docs on Depends Arguments.

Set Servers

Set RPC servers manually to specify transport and paths to host the RPC server on, e.g.

from openrpc import Server
from tabella import Tabella

app = Tabella(
    servers=[
        Server(name="HTTP API", url="http://localhost:8000/my/api/path"),
        Server(name="WebSocket API", url="ws://localhost:8000/my/api/path"),
    ]
)

This app will host the RPCServer over HTTP and over WebSockets with the path /my/api/path.

Pydantic

Pydantic is used for request/response deserialization/serialization as well as schema generation. Pydantic should be used for any models as seen here in the Python OpenRPC Docs.

Starlette

Tabella HTTP and WebSocket server hosting uses Starlette. Uvicorn can be used to run the starlette app.

uvicorn main:app.starlette --reload

Monitor

If you are running the app with in debug mode, e.g. app = Tabella(debug=True), then at the path /monitor there is a display that will show requests and responses made to the RPC server as they happen.

This requires websockets

pip install websockets

Inspired By

• OPEN-RPC Playground
• Swagger
• Redoc

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