A Flask extension that adds support for the "dramatiq" task processing library
Project description
Flask-Melodramatiq is a Flask extension that adds support for the Dramatiq task processing library.
Dramatiq is a great library, and Flask-Melodramatiq tries hard not to force you to change the way you interact with it. Flask-Melodramatiq defines thin wrappers around the broker types available in Dramatiq, so that all the power of Dramatiq’s API remains available to you.
For example:
import dramatiq from flask import Flask from flask_melodramatiq import RabbitmqBroker app = Flask(__name__) broker = RabbitmqBroker(app) dramatiq.set_broker(broker) @dramatiq.actor def task(): print('Snakes appreciate good theatrical preformace.')
or, if you prefer the Flask application factory pattern:
import dramatiq from flask import Flask from flask_melodramatiq import RabbitmqBroker broker = RabbitmqBroker() dramatiq.set_broker(broker) @dramatiq.actor def task(): print('Snakes appreciate good theatrical preformace.') def create_app(): app = Flask(__name__) broker.init_app(app) return app
In those examples, the broker instance that we created (we call it a “lazy broker”) is a genuine Dramatiq broker, and can be used anywhere where a “native” broker can be used. (It has dramatiq.brokers.rabbitmq.RabbitmqBroker as a superclass!) Lazy brokers are thin wrappers which add several important features:
They honor the settings in the Flask application configuration.
init_app can be called on them before or after the actors have been defined.
The Flask application context is correctly set during the execution of the tasks.
They add few convenience methods. (The Broker.actor decorator for example.)
Configuration
You can change the configuration options for your broker by passing keyword arguments to the constructor, or by setting corresponding values for the DRAMATIQ_BROKER_* set of keys in the app config. For example, you can do either:
from flask_melodramatiq import RabbitmqBroker broker = RabbitmqBroker( url='amqp://mybroker:5672', confirm_delivery=True)
or you can put this in your app config:
DRAMATIQ_BROKER_URL = 'amqp://mybroker:5672' DRAMATIQ_BROKER_CONFIRM_DELIVERY = True
If the configuration values passed to the constructor are different from the ones set in the app config, the later take precedence. You can even set/override the type of the broker in the app config:
from flask_melodramatiq import Broker broker = Broker() # Broker's type is not specified here.
and instead, specify the type in the app config:
DRAMATIQ_BROKER_CLASS = 'StubBroker'
This feature can be quite useful when testing your code.
Starting workers
With Flask-Melodramatiq you have the whole power of Dramatiq’s CLI on on your disposal. For example, to start worker processes for your broker instance you may run:
$ dramatiq wsgi:broker
and in wsgi.py you may have something like this:
from myapp import create_app, broker app = create_app()
You may have as many broker instances as you want, but you need to start each one of them with a separate command.
Installation
You can install Flask-Melodramatiq with pip:
$ pip install Flask-Melodramatiq
You can read the docs here.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file Flask-Melodramatiq-1.0.1.tar.gz
.
File metadata
- Download URL: Flask-Melodramatiq-1.0.1.tar.gz
- Upload date:
- Size: 11.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4ea6ba057e335a114c2ee777488b2a282967bdff76a552352224da50b1536dc2 |
|
MD5 | 849db22db7a35f4f0e7fe079ace163c2 |
|
BLAKE2b-256 | 1dcd4dfc2c61497c835e26700b9ba98d5a12c6e17abb8f5e0c71629b28047fe5 |
File details
Details for the file Flask_Melodramatiq-1.0.1-py3-none-any.whl
.
File metadata
- Download URL: Flask_Melodramatiq-1.0.1-py3-none-any.whl
- Upload date:
- Size: 9.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 047fce32f72a16c4d6adf75fd5e8389eb000dd7e65ff13ad8a66ec9ad7e16c37 |
|
MD5 | 1bd5a027ae0ed6bd0c5cf9679ec40021 |
|
BLAKE2b-256 | 0d06f4e0be57ac98d6312a94c04a837f801e13a9f6c7c21b407d426d973240dc |