django-load | loader utilities for Django
kandi X-RAY | django-load Summary
kandi X-RAY | django-load Summary
loader utilities for Django
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Top functions reviewed by kandi - BETA
- Load object from import path .
- Load a module from a given app name .
- Iterate over loaded modules .
- Load modules from installed apps
- Load objects from import paths .
django-load Key Features
django-load Examples and Code Snippets
Community Discussions
Trending Discussions on django-load
QUESTION
The information I'm working with comes from Django documentation and this stackO-Question The fundamental issue here is python, but it is a problem specific to Django.
I am trying to write in some natural keys to facilitate working with a highly normalized database (lots of foreign keys). I have quite a few models to work with, so if I can avoid writing a unique "class ModelManager(models.Manager):" for each model, I'd like to do just that.
I imagine calling the model fields as *args like so: objects = ModelManager(field1,field2,field3)
...ANSWER
Answered 2019-Aug-13 at 16:56Aha! I found an answer. It is significantly more complex than I imagined, but here it is: django-drynk
QUESTION
I have several apps (app1.html, app2.html etc.) and a base.html that has (let's say) 4 placeholders. Now I want to enable the user by clicking on one of the placeholders to choose from these apps and load them into that placeholder. Here's a simple example with js for more clarity: https://jsfiddle.net/eja4t0gb/15/
HTML:
...ANSWER
Answered 2019-Feb-22 at 09:52Actually, Django templates work on HTTP protocol which is stateless. It mean you can not get other template once you have rendered it!But, you can use ajax request to fetch django template from your webapp.
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Install django-load
You can use django-load like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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