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توضیحات

## Helpers for using Django from threads

ویژگی	مقدار
سیستم عامل	-
نام فایل	django-thread-0.0.1
نام	django-thread
نسخه کتابخانه	0.0.1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Ross McFaland
ایمیل نویسنده	rwmcfa1@gmail.com
آدرس صفحه اصلی	https://github.com/ross/django-thread
آدرس اینترنتی	https://pypi.org/project/django-thread/
مجوز	MIT

## Helpers for using Django from threads When handling requests django [manages database connection lifecycles for you](https://github.com/django/django/blob/ca9872905559026af82000e46cde6f7dedc897b6/django/db/__init__.py#L34-L42). By default closing them after each request or keeping them alive allowing re-use for a specified amount of time when `CONN_MAX_AGE` is set so long as no errors are encountered. Sometimes you want to do work outside of a web request. When the work is large and you would like to distribute it, likely to places other than where the web requests are served, there are systems like [Celery](https://docs.celeryproject.org/en/stable/django/first-steps-with-django.html). There are other cases though were you're just trying to do work outside of the request & response cycle even and it's lightweight enough that running a full-blown job queuing system and it's associated data store is too involved. You just want [Thread](https://docs.python.org/3/library/threading.html#thread-objects)s or even better a [ThreadPoolExecutor](https://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.ThreadPoolExecutor). If you just jump straight in and use either of those you'll run into slow to manifest and tough to track down problems with broken database connections. This is because Django automatically opens a connection per-thread when a database is accessed and leaves them lying around in that thread indefinitely. This results in errors when the database has timed out the connection or it has otherwise encountered problems. `django_thread` provides a this problem by implementing a `Thread` class that mimics Django's request connection handling and provides a `ThreadPoolExecutor` that does so around the invocations of submitted calls. ## Usage ### Thread `django_thread.Thread` is a 100% drop-in replacement for `threading.Thread`. See [threading.Thread](https://docs.python.org/3/library/threading.html#thread-objects) for usage and documentation. ```python from django_thread import Thread class ExampleThread(Thread): def run(self): for some_model in SomeModel.objects.filter(...): ... thread = ExampleThread() thread.start() # do other things thread.join() ``` ### ThreadPoolExecutor `django_thread.ThreadPoolExecutor` is a 100% drop-in replacement for `concurrent.futures.ThreadPoolExecutor`. See [concurrent.futures.ThreadPoolExecutor](https://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.ThreadPoolExecutor) for usage and documentation. ```python from concurrent.futures import as_completed from django_thread import ThreadPoolExecutor def update_or_create_thing(name): thing, _ = Thing.objects.update_or_create(name=name) return thing.id executor = ThreadPoolExecutor() futures = [] for i in range(5): future = executor.submit(update_or_create_thing, f'Name i') futures.append(future) ids = [f.result() for f in futures] ```

نیازمندی

مقدار	نام
>=1.6.0	django

زبان مورد نیاز

مقدار	نام
>=3.6	Python

نحوه نصب

نصب پکیج whl django-thread-0.0.1:

pip install django-thread-0.0.1.whl

نصب پکیج tar.gz django-thread-0.0.1:

pip install django-thread-0.0.1.tar.gz