Skip to main content

The quickest way to setup async tasks with Django.

Project description

# Django Quick Queue

Django Quick Queue is a fast and simple way to use async tasks in Django. This package has a limited use case. If you are looking for a more complex async task systems you should try Django Q, Celery, or Huey. Quick Queue is meant to give you the simplest method to get started executing small asynchronous tasks.

# Installation

### 1. Install Package

`pip install quickq`

### 2. Add Base URL to settings.py

```python
QQ_BASE_URL = 'https://mysite.example.com'
```

### 3. Setup the view in your urls.py

```python
from quickq import taskinator

urlpatterns = [
url(r'^taskinator/(\S+)$', taskinator, name="taskinator"),
...
]
```

### 4. Add the Task decorator to any function

```python
from quickq import Task

@Task()
def send_approved (name, slug, email):
send_mail(
'Yay E-mail!',
message,
settings.DEFAULT_FROM_EMAIL,
[email],
fail_silently=False,
)

# With a custom Timeout
@Task(timeout=120)
def another_task ():
do_stuff()
```

### 5. Execute your task as normal

```python
send_email('Narf', 'narf-me', 'narf@aol.com')
```

## How it Works

1. Your task is called
1. A PyJWT is generated.
2. The taskinator URL is called asynchronously.
2. Taskinator view executed
1. Decodes the JWT.
2. Excutes the original task function outside of the original request.

## Limitations

- Function arguments are converted to JSON so they must be JSON compatible.
- Request time may be limited. If your webserver has a limitation on request time then that will also affect how long your tasks can execute since they are simply web requests. The request is also limited by the `QQ_REQUEST_TIMEOUT` setting.

## Additional Settings

```
QQ_TOKEN_EXPIRATION: Default 60
QQ_TOKEN_ALGORITHMS: Default ['HS256']
QQ_URL_NAME: Default 'taskinator'
QQ_REQUEST_TIMEOUT: Default 60
```

## Scaling

While Quick Queue is limited it still could scaled in with a few tricks.

- Run a separate web server just for Queue tasks. This would allow you scale your task queue differently and change your request timeout values.
- additional?

## Future Goals

- add task retries
- multiple queue URLs


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

quickq-17.10.4-py2.py3-none-any.whl (5.1 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page