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Parsely is a framework for enqueuing messages via HTTP request for Celery.

Project description

https://travis-ci.org/narusemotoki/parsely.svg?branch=master

Parsely is a framework for enqueuing messages via HTTP request for celery.

CHANGELOG

Example

tasks.py:

import parsely

p = parsely.Parsely('example', 'redis://localhost:6379/0')
celery = p.celery


def two_times(text: str) -> dict:
    return {
        'text': text * 2
    }


@p.task(two_times)
def echo(text: str) -> None:
    print(text)

two_times works as pre processor. It works before enqueing. It means it can return BadRequest to your client. Parsely validate message with typehint. Also you can have extra validation and any other process here.

Run celery -A tasks worker --loglevel=info

producer.py:

import parsely

import tasks  # NOQA

application = parsely.producer()

producer is WSGI application. You need to import your tasks for put message into queue.

Run with uWSGI uwsgi --http :8080 --wsgi-file producer.py --enable-threads --thunder-lock --master

Send Test Message!

curl -X POST -d '{"message":{"text": "Hello"}}' http://localhost:8080/example/echo

  1. producer receives your request

  2. producer validates your message having text and the type is str or not. text`(str) is from typehint of two_times

  3. producer validates two_times returned value having text and the type is str or not. text`(str) is from typehint of echo

  4. producer put message {"message":{"text":"HelloHello"}} into queue.

  5. curl receives response.

  6. Celery calls echo

Extra

Preprocessor

preprocessor is optional. if you don’t need it, you can:

@p.task()
def echo(text: str) -> None:
    print(text)

Also you can give multiple preprocessor:

@p.task(two_times, two_times)
def echo(text: str) -> None:
    print(text)

logging

Parsely uses logger witch named “parsely”, so you can set log level like:

import logging


parsely_logger = logging.getLogger('parsely')
parsely_logger.setLevel(logging.DEBUG)

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