django-environ | environ allows you to utilize 12factor inspired environment | Configuration Management library
kandi X-RAY | django-environ Summary
kandi X-RAY | django-environ Summary
Django-environ allows you to utilize 12factor inspired environment variables to configure your Django application.
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Top functions reviewed by kandi - BETA
- Return db_url config
- Safely cast value
- Convert a string to an integer
- Return database configuration
- Get the configuration of a search URL
- Return the value of a URL
- Return search configuration for given URL
- Load long description
- Find package meta file
- Read a file
- Return the version string
- Return True if the given version is a canonical version
- Register schemes
- Register a scheme
- Find the version string in the project meta file
- Return a pyemcache driver
- Return a Path object
- Read file contents
django-environ Key Features
django-environ Examples and Code Snippets
Lines of Code : 14License : Permissive (MIT)
Copy.
│ manage.py
├───data
└───website
├───settings
│ │ __init__.py <-- imports local for compatybility
│ │ base.py <-- almost all the settings, reads from proces environment
│ │ local.py <-- a few modifications for l cp .env.example .env
heroku config # View config vars
heroku config:set TEST=test # Sets TEST to "test"
heroku config:unset TEST # Reverses setting TEST
heroku config:get TEST # Returns value of TEST
from django.conf import settings
def get_cursor():
if settings.PROD == settings.DJANGO_HOST:
conn = mariadb.connect(
user="user",
password="password",
host="localhost",
import environ
env = environ.Env(
# set casting, default value
DEBUG=(bool, False)
)
SECRET_KEY=your-secret-key
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'backend.settings')
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'project.settings')
# requirements.txt
Django>=3.1
djangorestframework>=3.9.2
djangorestframework_simplejwt>=4.3.0
django-environ>=0.4.5
# .gitlab-ci.yml
image: python:latest
variables:
SECRET_KEY: "this-is-my-secreset-placeholder = var_static=/home/user/html/blackbird_assets
<...>
static-map = /static=%(var_static)/static
static-map = /media=%(var_static)/media
<...>
# Build paths inside the project like this: ossudo yum install mysql-devel gcc python-devel
pip install mysqlclient
env = environ.Env()
environ.Env.read_env()
frontend_url = env('FRONTEND_URL')
Community Discussions
Trending Discussions on django-environ
QUESTION
I'm trying to install pyodbc on Django to access Sql Server but the Docker image had no be built.
The Dockerfile:
...ANSWER
Answered 2022-Feb-22 at 13:46Compiler is simply complaining about a build time dependency, cc1 tool should be in your system to build pyodbc.
In Ubuntu you can solve this with
QUESTION
I have tried the similar problems' solutions on here but none seem to work. It seems that I get a memory error when installing tensorflow from requirements.txt. Does anyone know of a workaround? I believe that installing with --no-cache-dir would fix it but I can't figure out how to get EB to do that. Thank you.
Logs:
...ANSWER
Answered 2022-Feb-05 at 22:37The error says MemoryError. You must upgrade your ec2 instance to something with more memory. tensorflow is very memory hungry application.
QUESTION
I made a .env file in the same directory as my settings.py file and have some environmental variables in there such as: secret_key, database_name, etc. However, it doesn't seem to be reading the database name correctly in the .env file. I feel like I followed the docs, but still get the improperly configured error when pushing to Heroku. It does work when running the server locally though.
settings.py
...ANSWER
Answered 2022-Jan-12 at 03:53As you may have guessed judging by your edit, Heroku doesn't support pushing .env files. This is because it uses an ephemeral filesystem.
Each dyno gets its own ephemeral filesystem, with a fresh copy of the most recently deployed code. [...] any files written will be discarded the moment the dyno is stopped or restarted. For example, this occurs any time a dyno is replaced due to application deployment and approximately once a day as part of normal dyno management.
You'd be better off using Heroku's built-in config var support. Here are some examples:
QUESTION
I'm running my website on Django 3.2. I read in Django’s cache framework that MemcachedCache and python-memcached are deprecated. I installed pymemcache==3.5.0 on my staging server and changed to CACHE_URL=pymemcache://127.0.0.1:11211 in env.ini. But if I uninstall python-memcached with pip I receive an error message, that indicates that MemcachedCache is still used by my code, and it fails on import memcache.
My code uses the following imports:
...ANSWER
Answered 2021-Dec-22 at 02:32I don't know why, but the way I restarted my server during deploy doesn't refresh env.ini, and the server remembers the old settings. If I restart my server with sudo reboot, with the same settings, then CACHES is equal to {'default': {'BACKEND': 'django.core.cache.backends.memcached.PyMemcacheCache', 'LOCATION': '127.0.0.1:11211'}} and the site works properly. And I confirmed that if I put dummy values in env.ini then the site doesn't work at all. But only if I restart my server with sudo reboot.
QUESTION
Premise: I'm a starter[Plz be kind and patient] When i try to run commands in the terminal like:
...ANSWER
Answered 2021-Nov-18 at 09:10The most pressing problem here is that you're doing a database call at import time by trying to load a session via
QUESTION
When running the command python manage.py makemigrations locally on my laptop, I get the following error on my console:
ANSWER
Answered 2021-Oct-23 at 10:35This is apparently caused by two things:
In settings.py, the secret content is loaded into environment variables with
env.read_env(io.StringIO(payload)), as mentioned in the question. That read_env() function apparently does the following:
QUESTION
I'm pretty new to docker and, although I've read lots of articles, tutorials and watched YouTube videos, I'm still finding that my image size is in excess of 1 GB when the alpine image for Python is only about 25 MB (if I'm reading this correctly!).
I'm trying to work out how to make it smaller (if in fact it needs to be).
[Note: I've been following tutorials to create what I have below. Most of it makes sense .. but some of it feels like voodoo]
Here is my Dockerfile:
...ANSWER
Answered 2021-Aug-05 at 01:39welcome to Docker! It can be quite the thing to wrap one's head around, especially when beginning, but you're asking really valid questions that are all pertinent
Reducing Size How toA great place to start is Docker's own Dockerfile best practices page:
https://docs.docker.com/develop/develop-images/dockerfile_best-practices/
They explain neatly how your each directve (COPY, RUN, ENV, etc) all create additional layers, increasing your containers size. Importantly, they show how to reduce your image size by minimising the different directives. They key to alot of minimisation is chaining commands in RUN statements with the use of &&.
Something else I note in your Dockerfile is one specific line:
QUESTION
I'm a total newbie and I'm trying to do this project this is my first time, and it's almost done. I tried every method mentioned in this SO thread to move secret key from settings. In every method i got some kind of error, even from this official django doc mathod. I couldn't find where I'm making mistake.
When the secret key is inside the settings.py, everything is working super smooth. But I need to push my code in git, so i have to hide it from settings.py.
Right now im adding the details when i tried using django-environ, to keep secret key outside of settings.py.
im putting the contents inside the root project folder.
im using miniconda: 4.10.1. here is my requirement.txt.
...ANSWER
Answered 2021-Jun-23 at 18:01First check that you have installed django-environ and maybe you have a typing mistake in your requirements.txt it should be django-environ=0.4.5 instead of django-environ=0.4.5=py_1
you can pass the path of your .env inside read_env(env_file="relative_path_of_your_env_file")
it read a .env file into os.environ.
If not given a path to a dotenv path, does filthy magic stack backtracking
to find manage.py and then find the dotenv.
go through this code https://github.com/joke2k/django-environ/blob/master/environ/environ.py#L614
QUESTION
this is my first project with Django and also my first time using Docker. So far I'm really enjoying both of them but I'm facing a problem I couldn't resolve after a week.
I followed this tutorial to build my project : https://medium.com/swlh/setting-up-a-secure-django-project-repository-with-docker-and-django-environ-4af72ce037f0
So far, my project structure looks like like this :
...ANSWER
Answered 2021-May-22 at 14:39Answering my own question as I have FINALLY found the cause of all my troubles ...
I had created an __init__.py file at the root of my project to define a project version as a constant..
After reading here and there about Django modules and namespaces, I removed the __init__.py from my root directory and that solved the problem.
**edited my question above to show the file in question
QUESTION
I am trying to deploy API made in Python to to Heroku. I am getting this errors and I do not know how to fix them.
...ANSWER
Answered 2020-Dec-09 at 12:04Your wsgi.py had a wrong setting for the settings location
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No vulnerabilities reported
Install django-environ
You can use django-environ 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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