Scheduler middleware for ASGI frameworks
Project description
Orloj
Getting started
You can use orloj
simply by installing via pip
on your Terminal.
pip install orloj
or alternatively when using poetry package manager as such:
poetry add orloj
And then you can begin using OrlojMiddleware
in your ASGI project as such
...
from orloj import OrlojMiddleware
def action() -> None:
"""Action to be called by scheduler"""
app.add_middleware(OrlojMiddleware, interval=3, job=action, job_id="scheduled-action")
...
The following example shows you how to setup OrlojMiddleware
to run scheduled tasks alongside
your FastAPI application.
from fastapi import FastAPI
from logging import Logger, getLogger
from orloj import OrlojMiddleware
from starlette.responses import PlainTextResponse, RedirectResponse
app = FastAPI()
logger: Logger = getLogger("uvicorn")
def hello_name(name: str) -> None:
logger.info(f"Hello, {name}!")
def hello_world() -> None:
logger.info("Hello, World!")
@app.get("/")
async def redirect_to_swagger_docs() -> RedirectResponse:
"""Redirects to swagger documentation
"""
return RedirectResponse("/docs")
@app.get("/health", response_class=PlainTextResponse, status_code=200)
async def health() -> str:
"""Health check
"""
return "OK"
app.add_middleware(
OrlojMiddleware, interval=3, job=hello_name, job_id="hello-igor", name="Igor"
)
app.add_middleware(
OrlojMiddleware, interval=6, job=hello_world, job_id="hello-world"
)
Dependencies
Contributions
To contribute to the project, fork the repository and clone to your local device and development dependencies including three extra libraries not included in final builds as such:
- mypy - Optional static typing for Python
- pytest - The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
- ruff - An extremely fast Python linter and code formatter, written in Rust.
Use the following commands to setup your local environment with development dependencies:
pip install --user poetry
poetry install --with dev
Acknowledgements
License
This project is licensed under the terms of the MIT license.
Project details
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