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
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
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