adjango 0.2.9

A library with many features for interacting with Django

🚀 ADjango

Sometimes I use this in different projects, so I decided to put it on pypi

ADjango is a convenient library for simplifying work with Django, which offers various useful managers, services, decorators, utilities for asynchronous programming, a task scheduler for Celery, working with transactions and much more.

• Installation
• Settings
• Overview
  • Manager & Services
  • Utils
  • Decorators
  • Other

Installation 🛠️

pip install adjango

Settings ⚙️

• Add the application to the project.

  INSTALLED_APPS = [
      #...
      'adjango',
  ]
  

• In settings.py set the params

  # settings.py
  # None of the parameters are required.  
  
  # For usage @a/controller decorators
  LOGIN_URL = '/login/' 
  
  # optional
  ADJANGO_BACKENDS_APPS = BASE_DIR / 'apps' # for management commands
  ADJANGO_FRONTEND_APPS = BASE_DIR.parent / 'frontend' / 'src' / 'apps' # for management commands
  ADJANGO_APPS_PREPATH = 'apps.'  # if apps in BASE_DIR/apps/app1,app2...
  ADJANGO_UNCAUGHT_EXCEPTION_HANDLING_FUNCTION = ... # Read about @acontroller, @controller
  ADJANGO_CONTROLLERS_LOGGER_NAME = 'global' # only for usage @a/controller decorators
  ADJANGO_CONTROLLERS_LOGGING = True # only for usage @a/controller decorators
  ADJANGO_EMAIL_LOGGER_NAME = 'email' # for send_emails_task logging
  

  MIDDLEWARE = [
      ...
      # add request.ip in views if u need
      'adjango.middleware.IPAddressMiddleware',  
      ...
  ]
  

Overview

Most functions, if available in asynchronous form, are also available in synchronous form.

Manager & Services 🛎️

A simple example and everything is immediately clear...

from adjango.fields import AManyToManyField
from adjango.managers.base import AManager
from adjango.services.base import ABaseService
from adjango.models import AModel
from adjango.polymorphic_models import APolymorphicModel

class User(AbstractUser, ABaseService):
    objects = AManager()
# Its equal with...
class User(AbstractUser, AModel): pass
    

class Product(APolymorphicModel):
    # APolymorphicManager() of course here already exists
    name = CharField(max_length=100)

class Order(AModel):
    user = ForeignKey(User, CASCADE)
    products = AManyToManyField(Product)

    
# The following is now possible...
products = await Product.objects.aall()
products = await Product.objects.afilter(name='name')
# Returns an object or None if not found
order = await Order.objects.agetorn(id=69) # aget or none
if not order: raise

# We install products in the order
await order.products.aset(products)
# Or queryset right away...
await order.products.aset(
  Product.objects.filter(name='name') 
)
await order.products.aadd(products[0])

# We get the order again without associated objects
order: Order = await Order.objects.aget(id=69)
# Retrieve related objects asynchronously.
order.user = await order.related('user')
products = await order.products.aall()
# Works the same with intermediate processing/query filters
orders = await Order.objects.prefetch_related('products').aall()
for o in orders:
    for p in o.products.all():
        print(p.id)
#thk u

Utils 🔧

aall, afilter, arelated, и так далее доступны как отдельные функции

from adjango.utils.funcs import aall, agetorn, afilter, aset, aadd, arelated

Decorators 🎀

• aforce_data

  The aforce_data decorator combines data from the GET, POST and JSON body request in request.data. This makes it easy to access all request data in one place.

• atomic

  An asynchronous decorator that wraps function into a transactional context. If an exception occurs, all changes are rolled back.

• acontroller/controller

  An asynchronous decorator that wraps function into a transactional context. If an exception occurs, all changes are rolled back.

  from adjango.adecorators import acontroller
  
  @acontroller(name='My View', logger='custom_logger', log_name=True, log_time=True)
  async def my_view(request):
      pass
  
  @acontroller('One More View')
  async def my_view_one_more(request):
      pass
  

  • These decorators automatically catch uncaught exceptions and log if the logger is configured ADJANGO_CONTROLLERS_LOGGER_NAME ADJANGO_CONTROLLERS_LOGGING.
  • You can also implement the interface:

    class IHandlerControllerException(ABC):
        @staticmethod
        @abstractmethod
        def handle(fn_name: str, request: WSGIRequest | ASGIRequest, e: Exception, *args, **kwargs) -> None:
            """
            An example of an exception handling function.
    
            @param fn_name: The name of the function where the exception occurred.
            @param request: The request object (WSGIRequest or ASGIRequest).
            @param e: The exception to be handled.
            @param args: Positional arguments passed to the function.
            @param kwargs: Named arguments passed to the function.
    
            @return: None
            """
            pass
    

    and use handle to get an uncaught exception:

    # settings.py
    from adjango.handlers import HCE # use my example if u need
    ADJANGO_UNCAUGHT_EXCEPTION_HANDLING_FUNCTION = HCE.handle
    

Other

• AsyncAtomicContextManager🧘

  An asynchronous context manager for working with transactions, which ensures the atomicity of operations.

  from adjango.utils.base import AsyncAtomicContextManager
  
  async def some_function():
      async with AsyncAtomicContextManager():
          ...  
  

• Tasker📋

  The Tasker class provides methods for scheduling tasks in Celery and Celery Beat.

  from adjango.utils.tasks import Tasker
  
  task_id = Tasker.put(
      task=my_celery_task,
      param1='value1',
      param2='value2',
      countdown=60 # The task will be completed in 60 seconds
  )
  

  from adjango.utils.tasks import Tasker
  from datetime import datetime
  
  # One-time task via Celery Beat
  Tasker.beat(
      task=my_celery_task,
      name='one_time_task',
      schedule_time=datetime(2024, 10, 10, 14, 30), # Start the task on October 10, 2024 at 14:30
      param1='value1',
      param2='value2'
  )
  
  # Periodic task via Celery Beat (every hour)
  Tasker.beat(
      task=my_celery_task,
      name='hourly_task',
      interval=3600, # The task runs every hour
      param1='value1',
      param2='value2'
  )
  

• send_emails

  Allows you to send emails using templates and context rendering.

  from adjango.utils.mail import send_emails
  
  send_emails(
      subject='Welcome!',
      emails=('[e-mail]', '[e-mail]'),
      template='emails/welcome.html',
      context={'user': 'John Doe'}
  )
  

  from adjango.tasks import send_emails_task
  from adjango.utils.tasks import Tasker
  
  send_emails_task.delay(
      subject='Hello!',
      emails=('[e-mail]',),
      template='emails/hello.html',
      context={'message': 'Welcome to our service!'}
  )
  # or
  Tasker.put(
      task=send_emails_task,
      subject='Hello!',
      emails=('[e-mail]',),
      template='emails/hello.html',
      context={'message': 'Welcome to our service!'},
      countdown=60 # The task will be completed in 5 seconds
  )