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async-cloud-tasks-0.0.3
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Use Cloud Tasks to easily defer functions executions
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | async-cloud-tasks-0.0.3 |
| نام | async-cloud-tasks |
| نسخه کتابخانه | 0.0.3 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | - |
| ایمیل نویسنده | Everton Castro <evertoncastro.sp@gmail.com> |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/async-cloud-tasks/ |
| مجوز | The MIT License Copyright (c) Everton Castro Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
# Async Cloud Tasks
## Use Cloud Tasks to easily defer functions executions in your web applications 🍯
### Inspired by [django-cloud-tasks](https://github.com/GeorgeLubaretsi/django-cloud-tasks), thanks to GeorgeLubaretsi 👏🏻👏🏻👏🏻
Integrate [Google Cloud Tasks](https://cloud.google.com/tasks/docs/add-task-queue) with web applications without the need to create an exclusive endpoint to handle tasks.
The package provides easy to use decorator to create task handlers.
App looks for tasks in ``cloud_tasks.py`` files in your installed applications and auto-registers them.
## Prerequisites
- Python 3.7+
## Dependencies
- [google-cloud-tasks](https://pypi.org/project/google-cloud-tasks/)
## Support
- IMPORTANT: Now it is only giving support for **Django** framework.
## Installation
Install the package from PyPi
```sh
pip install async-cloud-tasks
```
Add ``async_cloud_tasks`` to ``INSTALLED_APPS``:
```python
INSTALLED_APPS = (
# ...
'async_cloud_tasks',
# ...
)
```
Add configuration to your settings
```python
ASYNC_CLOUD_TASKS={
'gcp_location': '<GCP TASK QUEUE LOCATION>',
'gcp_project_name': '<GCP TASK QUEUE PROJECT NAME>',
'task_handler_root_url': '_tasks/',
'service_url': '<BASE SERVICE URL>',
'handler_secret': '<SECRET KEY TO BE USED FOR TASK HANDLER AUTHENTICATION>'
}
# This setting allows you to debug your cloud tasks by running actual task handler function locally
# instead of sending them to the task queue. Default: False
ASYNC_CLOUD_TASKS_EXECUTE_LOCALLY = False
```
Add cloud task views to your urls.py (must resolve to the same url as ``task_handler_root_url``)
```python
# urls.py
# ...
from django.urls import path, include
from async_cloud_tasks import urls as dct_urls
urlpatterns = [
# ...
path('_tasks/', include(dct_urls)),
]
```
## Quick start (only for Django)
Simply import the task decorator and define the task inside ``cloud_tasks.py`` in your app.
First parameter should always be ``request`` which is populated after task is executed by Cloud Task service.
You can get actual request coming from Cloud Task service by accessing `request.request` in your task body and
additional attributes such as: `request.task_id`, `request.request_headers`
```python
# cloud_tasks.py
# ...
from async_cloud_tasks.decorators import task
@task(queue='default')
def example_task(request, p1, p2):
print(p1, p2)
print(request.task_id)
```
Pushing the task to the queue:
```python
from my_app.cloud_tasks import example_task
example_task(p1='1', p2='2').defer()
```
It is also possible to run an actual function using `run` method of `CloudTaskWrapper` object instance that is returned after task is called (this can be useful for debugging):
```python
task = example_task(p1=i, p2=i)
task.run()
```
## References
- [CloudTasksClient](https://cloud.google.com/python/docs/reference/cloudtasks/latest/google.cloud.tasks_v2.services.cloud_tasks.CloudTasksClient)
نیازمندی
| مقدار | نام |
|---|---|
| >=2.9.0 | google-cloud-tasks |
| - | pip-tools |
| - | pytest |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl async-cloud-tasks-0.0.3:
pip install async-cloud-tasks-0.0.3.whl
نصب پکیج tar.gz async-cloud-tasks-0.0.3:
pip install async-cloud-tasks-0.0.3.tar.gz