django-environ
cookiecutter
django-environ | cookiecutter | |
---|---|---|
12 | 56 | |
2,937 | 21,700 | |
- | 1.2% | |
6.0 | 8.7 | |
3 months ago | 8 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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django-environ
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Setting up Django in a Better Way in 5 Minutes and Understanding How It Works
This Django Starter kit takes care of automated creation of virtual environment and installing of Python packages and setting up the database with bash scripts. In addition to PostgreSQL and TailwindCSS, all the sensitive values are taken care of in a .env file using django-environ package. The virtual environment is maintained using pip-tools.
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Tricks for starting a new project
I used to do this but recently switched to using environment variables and now prefer this approach. Essentially you keep the single settings.py file that is generated with startproject, and use os.environ or os.getenv to set certain settings. Check out the FeedHQ settings.py for an example. I use direnv to automatically set my environment variables on my local machine, but django-environ is a popular alternative.
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Django Deployment - Postgres DBaaS
Here i decided to use django-environ's env.db() for the DATABASE_URL.
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Switch between development and production
You might want to use django-environ package for this issue. Create a .env file in the project folder and follow these steps.
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Django deployment with App Platform & S3 Space
For this i use django-environ. Here are a few basic settings:
- Django Production (Env variable)
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Six things I do every time I start a Django project
You could also use just django-environ package to both import config from .env and set a database url instead of using 2 dependencies. I also think of a couple things I could add to the list, maybe I should a write a blog post as well?
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How to share my portfolio projects to Github?
You can use django-environ
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A complete guide to organizing settings in Django
Docker does not do any quote parsing. For this same env file, it will set the value of the variable to `"foo"` (retaining the doublequotes in the value).
Bash, of course, requires quotes if the variable contains any special bash characters (for example, literal JSON with curly brackets), but its quote handling is much more complex. django-environ doesn't interpret bash code; it just does simple quote chomping.
There's no reliable .env syntax you can use that works in all 3 of django-environ, Docker, and bash; and any variable that should start and end with quotes that are not stripped off can't be expressed in a way that both Docker and django-environ will read in the same way.
This may seem like a nit-picking edge case, but it's indicative of the design philosophy in django-environ of trying to be "helpful", but in ways which lead to subtle confusion. The way it guesses the path to your `.env` file is another example.
[1] https://github.com/joke2k/django-environ/blob/main/environ/e...
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The best way to handle private keys
For Django use useful environ-wrapper: django-environ
cookiecutter
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Ask HN: How do you bootstrap your software projects?
Sometimes I use this to abstract boilerplate https://github.com/cookiecutter/cookiecutter
It can use a repo as a template.
It supports some interactive questions to choose options but mostly it is jinja templates.
Having libraries would be another option.
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FastStream: Python's framework for Efficient Message Queue Handling
Install the cookiecutter package using the following command:
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Template for Django Projects
Consider taking a look at cookiecutter to generate projects from templates. There is also cookiecutter-django. As for your environment variables you should have an example .env file containing all the environment variables required by your project (without setting them) that can be safely pushed into your repository for you and other developers to copy into the actual .env file that'll be used by your project (add this file to .gitignore)
- Rmarkdown/Github project organization question
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Python Cookiecutter: Streamline Template Projects for Enhanced Developer Experience
The Python Cookiecutter library revolutionizes project development by offering streamlined approach to creating template projects and improving developer experience.
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What do you use to generate Terraform/Grunt files at scale?
We use cookie cutter templates (the Python project, https://github.com/cookiecutter/cookiecutter ), we prompt for the module & version etc
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A Python package that has a basic app setup inside it
Why not use cookiecutter or a similar tool designed for making these sorts of project templates?
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Sub library with useful code
Is it common? I don't know. Is it useful? Absolutely. There is a tool called cookiecutter that allows you to define your own setup. For example, my cookiecutter setup for a python library is here. You can see what it's like by first installing the cookiecutter cli and then running
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New tool: Souce code generator from a given template
Also cookiecutter.
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Introducing Visual Cookiecutter: a web UI for instanciating cookiecutter templates
Visual Cookiecutter enhances the functionality of cookiecutter by offering unique features such as required fields, conditional input parameters, optional descriptions, and the ability to fix mistakes easily. This package seamlessly integrates with cookiecutter so that all existing templates work out-of-the-box.
What are some alternatives?
python-dotenv - Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.
copier - Library and command-line utility for rendering projects templates.
python-decouple - Strict separation of config from code.
Jinja2 - A very fast and expressive template engine.
environs - simplified environment variable parsing
backstage - Backstage is an open platform for building developer portals
django-dotenv - Loads environment variables from .env
try - Dead simple CLI tool to try Python packages - It's never been easier! :package:
hydra - Hydra is a framework for elegantly configuring complex applications
bashplotlib - plotting in the terminal
dynaconf - Configuration Management for Python ⚙
qbatch