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django-cloud-tasks-withcredentials-0.0.4


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توضیحات

Google Cloud Tasks integration for Django. Forked from https://github.com/GeorgeLubaretsi/django-cloud-tasks
ویژگی مقدار
سیستم عامل -
نام فایل django-cloud-tasks-withcredentials-0.0.4
نام django-cloud-tasks-withcredentials
نسخه کتابخانه 0.0.4
نگهدارنده []
ایمیل نگهدارنده []
نویسنده rgutierrez-cotech
ایمیل نویسنده gutierrez@carnegiehub.org
آدرس صفحه اصلی https://github.com/rgutierrez-cotech/django-cloud-tasks
آدرس اینترنتی https://pypi.org/project/django-cloud-tasks-withcredentials/
مجوز MIT
============================ Django Cloud Tasks ============================ * Forked from https://github.com/GeorgeLubaretsi/django-cloud-tasks Integrate `Google Cloud Tasks <https://goo.gl/Ya0AZd>`_ with Django. 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. Package is in early alpha and it does not have any real security at the moment. You need to authorize requests coming to your instances yourself. Prerequisites ============= - Django 1.8+ - Python 3.4, 3.5, 3.6 Dependencies ============ - `google-api-python-client <https://pypi.python.org/pypi/google-api-python-client/>`_ Documentation ============= TODO Installation ============ (1) Install latest version from Github (PyPy package will be available as soon as stable version is released): .. code-block:: sh pip install -e git+git@github.com:rgutierrez-cotech/django-cloud-tasks.git#egg=django_cloud_tasks (2) Add ``django_cloud_tasks`` to ``INSTALLED_APPS``: .. code-block:: python INSTALLED_APPS = ( # ... 'django_cloud_tasks', # ... ) (3) Optionally, set up Google Cloud credentials in your settings.py for use with Django Cloud Tasks. If you are using a service account, make sure the account has the "Cloud Tasks Admin" permission. .. code-block:: python # install these if they are not already installed import google.auth from google.oauth2 import service_account # ... # To use application default credentials: google_cloud_credentials, project = google.auth.default() # To use a service account JSON file: google_cloud_credentials = service_account.Credentials.from_service_account_file( '/path/to/key.json') (4) Add configuration to your settings .. code-block:: python DJANGO_CLOUD_TASKS={ 'project_location_name': 'projects/{project_name}/locations/us-central1', 'task_handler_root_url': '/_tasks/', }, # 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 DJANGO_CLOUD_TASKS_EXECUTE_LOCALLY = False # If False, running `.execute()` on remote task will simply log the task data instead of adding it to # the queue. Useful for debugging. Default: True DJANGO_CLOUD_TASKS_BLOCK_REMOTE_TASKS = False # Optional argument. Specify a google.auth.credentials.Credentials object to use with the API # Discovery service. Can be application default credentials or credentials generated from a # service account JSON file. Default: None DJANGO_CLOUD_TASKS_CREDENTIALS = None # or google_cloud_credentials if you defined this above (5) Add cloud task views to your urls.py (must resolve to the same url as ``task_handler_root_url``) .. code-block:: python # urls.py # ... from django.urls import path, include from django_cloud_tasks import urls as dct_urls urlpatterns = [ # ... path('_tasks/', include(dct_urls)), ] Quick start =========== 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``` .. code-block:: python # cloud_tasks.py # ... from django_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: .. code-block:: python from my_app.cloud_tasks import example_task example_task(p1='1', p2='2').execute() Pushing remote task to the queue (when task handler is defined elsewhere): .. code-block:: python from django_cloud_tasks import remote_task from django_cloud_tasks import batch_execute example_task = remote_task(queue='my-queue', handler='remote_app.cloud_tasks.example_task'): payload_1 = example_task(payload={'p1': 1, 'p2': '2'}) payload_2 = example_task(payload={'p1': 2, 'p2': '3'}) # Execute in batch: batch_execute([payload_1, payload_2]) # Or one by one: payload_1.execute() payload_2.execute() You can also send tasks in batch if latency is an issue and you have to send many small tasks to the queue (limited to 1000 at a time): .. code-block:: python from my_app.cloud_tasks import example_task from django_cloud_tasks import batch_execute tasks = [] for i in range(0, 420): task = example_task(p1=i, p2=i) tasks.append(task) batch_execute(tasks) 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): .. code-block:: python task = example_task(p1=i, p2=i) task.run()


نحوه نصب


نصب پکیج whl django-cloud-tasks-withcredentials-0.0.4:

    pip install django-cloud-tasks-withcredentials-0.0.4.whl


نصب پکیج tar.gz django-cloud-tasks-withcredentials-0.0.4:

    pip install django-cloud-tasks-withcredentials-0.0.4.tar.gz