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docker build -t django-docker:0.0.1 .
docker run -p 8000:8000 django-docker:0.0.1
Community Discussions
Trending Discussions on dockerizing-django
QUESTION
I'm having issues serving static files and media files when I deploy my dockerised django app to digital ocean. I've read many similar questions on here, but none of the answers have worked for me so far.
Roughly following this guide, https://testdriven.io/blog/dockerizing-django-with-postgres-gunicorn-and-nginx/#nginx, I'm now in a state where I can spin up my docker container locally using the following commands and have nginx serve static/media files perfectly:
...ANSWER
Answered 2021-May-09 at 09:41I have a feeling that the issue is here:
QUESTION
I am trying to Dockerizing Django with Postgres, Gunicorn, and Nginx via the tutorial on
https://testdriven.io/blog/dockerizing-django-with-postgres-gunicorn-and-nginx/
I am was getting an error while docker is in step 7 i.e,
Step 7/23 : RUN pip wheel --no-cache-dir --no-deps --wheel-dir /usr/src/app/wheels -r requirements.txt
I was able to update the Dockerfile.prod to conquer this error, but i am getting another error in step 21
Step 21/26 : RUN pip install --no-cache /wheels/*
This is my updated Dockerfile.prod
...ANSWER
Answered 2021-Jan-29 at 11:47Thanks to @DawidGacek advice, I have added the dependencies for both the containers, and now it works fine. This is the final working Dockerfile.prod [Note: I have just commented out the flake8 lint checker, If you need the same just uncomment it]
QUESTION
I am running Django with PostgreSQL in a docker-compose setup for development. Each time I restart the application container, the database is empty, even though I do neither restart the DBMS container nor do I drop the DBMS's data volume. It seems that Django is dropping all tables upon restart. Why?
My setup closely follows the description here. That is, my compose file looks as follows (simplified):
...ANSWER
Answered 2020-Oct-09 at 07:27The Django flush
command removes all data from the database, as explained in the documentation.
Hence, to solve my problem above, I only need to remove the line
QUESTION
So I am following this tutorial and have gotten all the way to the 'media' section and when I run the command:
docker-compose exec web python manage.py startapp upload
it all works fine but when I open the newly created views.py file and edit and try to save I get a permission denied error. I can open the file as root and edit it but now thru my Atom code editor. I don't know where I am going wrong can someone help me? Here's my code:
Dockerfile:
...ANSWER
Answered 2020-Aug-08 at 20:06try to issue chmod 777 -R
in the folder where it is located.
QUESTION
I have dockerized a Django project with Postgres, Gunicorn, and Nginx following this tutorial.
Now i want to move the application to azure container instances. Can i simply create a container group following this tutorial, and expect the container images to communicate the right way?
To run the project locally i use docker-compose -f docker-**compose.prod.yml** up -d --build
But how is the communication between the containers handled in azure container instances?
The docker-compose.prod.yml looks like this:
...ANSWER
Answered 2020-Jul-16 at 11:56The containers will be able to communicate with each others using the services names (web, db, nginx) because they are part of the container group's local network. Also, take a look at the documentation as you can't use docker-composes file directly unless you use the edge version of Docker Desktop.
On another note, upon restarting, you will loose whatever you stored in your volumes because you are not using some kind of external storage. Look at the documentation.
QUESTION
I have the following Nginx configuration for my Django application:
...ANSWER
Answered 2020-Apr-08 at 02:09From the Mozilla docs
The
X-Forwarded-For
(XFF) header is a de-facto standard header for identifying the originating IP address of a client connecting to a web server through an HTTP proxy or a load balancer. When traffic is intercepted between clients and servers, server access logs contain the IP address of the proxy or load balancer only. To see the original IP address of the client, theX-Forwarded-For
request header is used.
In fact, I think that you have misunderstood the Host
header. My understanding is that it will be the IP of the nginx server.
QUESTION
In many Docker tutorials based on Python (such as: this one) they use the option PYTHONDONTWRITEBYTECODE
in order to make Python avoid to write .pyc files on the import of source modules (This is equivalent to specifying the -B option).
What are the risks and advantages of setting this option up?
...ANSWER
Answered 2020-Mar-22 at 09:19When you run a single python process in the container, which does not spawn other python processes itself during its lifetime, then there is no "risk" in doing that.
Storing byte code on disk is used to compile python into byte code just upon the first invocation of a program and its dependent libraries to save that step upon the following invocations. In a container the process runs just once, therefore setting this option makes sense.
QUESTION
Basically my issue is that when I try to run a certain command, I get a permission error. This ends up affecting other parts of my workflow despite not having an immediate impact.
When Running:
...ANSWER
Answered 2020-Jan-20 at 22:26I had the same problem with a similar project.
In order to find the cause I tried importing Image from PIL (from PIL import Image
) and then I tracked back the missing libs from the error messages.
This Dockerfile was the result. (I'm using a Debian based image though, for alpine you have to find the corresponding libs yourself)
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Install dockerizing-django
You can use dockerizing-django 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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