I've created a docker image for django rest project, with following Dockerfile and docker-compose file,
Dockerfile
FROM python:3
# Set environment variables
ENV PYTHONUNBUFFERED 1
COPY requirements.txt /
# Install dependencies.
RUN pip install -r /requirements.txt
# Set work directory.
RUN mkdir /app
WORKDIR /app
# Copy project code.
COPY . /app/
EXPOSE 8000
docker-compose file
version: "3"
services:
dj:
container_name: dj
build: django
command: python manage.py runserver 0.0.0.0:8000
volumes:
- ./django:/app
ports:
- "8000:8000"
And docker-compose up command bring up the server like this,
but in web browser i can't access the server, browser says ERR_ADDRESS_INVALID
Docker version 18.09.2
0.0.0.0 is IPv4 for "everywhere"; you can't usually make outbound connections to it. If you have a Docker Desktop application, try http://localhost:8000; if it's Docker Toolbox, you'll need the docker-machine ip address, usually http://192.168.99.100:8000.
thanks to David Maze problem is solved.
Related
EDITED
I am learning CICD and Docker. So far I have managed to successfully create a docker image using the code below:
Dockerfile
# Docker Operating System
FROM python:3-slim-buster
# Keeps Python from generating .pyc files in the container
ENV PYTHONDONTWRITEBYTECODE=1
# Turns off buffering for easier container logging
ENV PYTHONUNBUFFERED=1
#App folder on Slim OS
WORKDIR /app
# Install pip requirements
COPY requirements.txt requirements.txt
RUN python -m pip install --upgrade pip pip install -r requirements.txt
#Copy Files to App folder
COPY . /app
docker-compose.yml
version: '3.4'
services:
web:
build: .
command: python manage.py runserver 0.0.0.0:8000
ports:
- 8000:8000
My code is on BitBucket and I have a pipeline file as follows:
bitbucket-pipelines.yml
image: atlassian/default-image:2
pipelines:
branches:
master:
- step:
name:
Build And Publish To Azure
services:
- docker
script:
- docker login -u $AZURE_USER -p $AZURE_PASS xxx.azurecr.io
- docker build -t xxx.azurecr.io .
- docker push xxx.azurecr.io
With xxx being the Container registry on Azure. When the pipeline job runs I am getting denied: requested access to the resource is denied error on BitBucket.
What did I not do correctly?
Thanks.
The Edit
Changes in docker-compose.yml and bitbucket-pipeline.yml
docker-compose.yml
version: '3.4'
services:
web:
build: .
image: xx.azurecr.io/myticket
container_name: xx
command: python manage.py runserver 0.0.0.0:80
ports:
- 80:80
bitbucket-pipelines.yml
image: atlassian/default-image:2
pipelines:
branches:
master:
- step:
name:
Build And Publish To Azure
services:
- docker
script:
- docker login -u $AZURE_USER -p $AZURE_PASS xx.azurecr.io
- docker build -t xx.azurecr.io/xx .
- docker push xx.azurecr.io/xx
You didnt specify CMD or ENTRYPOINT in your dockerfile.
There are stages when building a dockerfile
Firstly you call an image, then you package your requirements etc.. those are stages that are being executed while the container is building. you are missing the last stage that executes a command inside the container when its already up.
Both ENTRYPOINT and CMD are essential for building and running Dockerfiles.
for it to work you must add a CMD or ENTRYPOINT at the bottom of your dockerfile..
Change your files accordingly and try again.
Dockerfile
# Docker Operating System
FROM python:3-slim-buster
# Keeps Python from generating .pyc files in the container
ENV PYTHONDONTWRITEBYTECODE=1
# Turns off buffering for easier container logging
ENV PYTHONUNBUFFERED=1
#App folder on Slim OS
WORKDIR /app
# Install pip requirements
COPY requirements.txt requirements.txt
RUN python -m pip install --upgrade pip pip install -r requirements.txt
#Copy Files to App folder
COPY . /app
# Execute commands inside the container
CMD manage.py runserver 0.0.0.0:8000
Check you are able to build and run the image by going to its directory and running
docker build -t app .
docker run -d -p 80:80 app
docker ps
See if your container is running.
Next
Update the image property in the docker-compose file.
Prefix the image name with the login server name of your Azure container registry, .azurecr.io. For example, if your registry is named myregistry, the login server name is myregistry.azurecr.io (all lowercase), and the image property is then myregistry.azurecr.io/azure-vote-front.
Change the ports mapping to 80:80. Save the file.
The updated file should look similar to the following:
docker-compose.yml
Copy
version: '3'
services:
foo:
build: .
image: foo.azurecr.io/atlassian/default-image:2
container_name: foo
ports:
- "80:80"
By making these substitutions, the image you build is tagged for your Azure container registry, and the image can be pulled to run in Azure Container Instances.
More in documentation
I have successfully build docker and the server runs without error but when I browse the website it doesn't show anything.
Here are the configuration files I'm using:
.env.dev
DEBUG=1
SECRET_KEY=foo
DJANGO_ALLOWED_HOSTS=localhost 127.0.0.1 [::1]
Dockerfile
FROM python:3.9.1-slim-buster
# set working directory
RUN mkdir -p /usr/src/app
WORKDIR /usr/src/app
# set environment variables
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1
# install dependencies
RUN pip install --upgrade pip
COPY ./requirements.txt .
RUN pip install -r requirements.txt
# add app
COPY . .
docker-compose.yml
version: '3.8'
services:
movies:
build: ./app
command: python core/manage.py runserver 0.0.0.0:8000
volumes:
- ./app/:/usr/src/app/
ports:
- 8009:8000
env_file:
- ./app/.env.dev
Any idea why it isn't browsing?
When you put localhost or 127.0.0.1 as allowed hosts, you refer to the container, not the host machine. So, even if you link the ports of the container to those of the host, the server will not accept the connections since they are not coming from the container IP.
I have a hello world Django project and i want to dockerize it. My OS is windows 8.1 and I'm using docker toolbox. Using volumes I could persist data in docker container and what I want to do is to sync the code in docker container with the code in my local host in the directory where my project code is stored and so far I couldn't do it.
Here is my docker-compose.yml:
version: '3.7'
services:
web:
build: .
command: python manage.py runserver 0.0.0.0:8000
volumes:
- myvol1:/code
ports:
- 8000:8000
volumes:
myvol1:
and Dockerfile:
# Pull base image
FROM python:3.7
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1
# Set work directory
WORKDIR /code
# Install dependencies
COPY requirement.txt /code/
RUN pip install -r requirement.txt
# Copy project
COPY . /code/
without using volumes I can run my code in the container but the data is not persisted.
I'd be grateful for your help.
Maybe try
version: '3.7'
services:
web:
build: .
command: python manage.py runserver 127.0.0.1:8000
volumes:
- myvol1:/code
ports:
- 8000:8000
volumes:
myvol1:
I thought maybe changing to the localhost IP might help or the ports could also be changed following the format of
<port-number-host> : <port-number-container>
"your listening port : container's listening port"
The port might be busy, but these are things that I would troubleshoot and try.
My resources/references: Udemy Class from Bret Fisher
I have Django and React inside the same Docker container using docker-compose.yml and running this container inside a Digital Ocean Droplet running Ubuntu. When I navigate to http://my_ip_address:3000 which is the React app, it works just fine, but when I navigate to http://my_ip_address:8000 which is the Django app, I get a 400 Bad Request error from the server.
project/back-end/Dockerfile
FROM python:3.7
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1
WORKDIR /nerdrich
COPY Pipfile Pipfile.lock /nerdrich/
RUN pip install pipenv && pipenv install --system
COPY . /nerdrich/
EXPOSE 8000
project/front-end/Dockerfile
# official node.js runtime for Docker
FROM node:12
# Create and set the directory for this container
WORKDIR /app/
# Install Application dependencies
COPY package.json yarn.lock /app/
RUN yarn install --no-optional
# Copy over the rest of the project
COPY . /app/
# Set the default port for the container
EXPOSE 3000
CMD yarn start
project/docker-compose.yml
version: "3"
services:
web:
build: ./back-end
command: python /nerdrich/manage.py runserver
volumes:
- ./back-end:/nerdrich
ports:
- "8000:8000"
stdin_open: true
tty: true
client:
build: ./front-end
volumes:
- ./front-end:/app
- /app/node_modules
ports:
- '3000:3000'
stdin_open: true
environment:
- NODE_ENV=development
depends_on:
- "web"
command:
yarn start
project/back-end/nerdrich/.env
ALLOWED_HOSTS=['165.227.82.162']
I can provide any additional information if needed.
I am new on Django and Docker and I have a problem to enter site localhost:8000.
I built django app and it is working on my local server but I'd like to dockerize my app. So I created two files:
Dockerfile :
RUN python:3.6.7-alpine
ENV PYTHONUNBUFFERED 1
RUN mkdir /code
WORKDIR /code
ADD requirements.txt /code/
RUN pip install -r requirements.txt
ADD ./ /code/
CMD ["python", "manage.py", "runserver", "0.0.0.0:8000"]
and docker-compose.yml
version: '3'
services:
web:
build: .
command: python mysite/manage.py runserver 8000
ports:
- "8000:8000"
My next steps:
docker built --tag django_docker:latest .
and:
docker run django_docker
It's open server, but when I want to open localhost:8000 from my browser I can't because of "Unable to connect"
Where is my fault?
More about django app : it's project from book Python Crash Course : Learning_log. I'd like to build an image and push it to hub docker, but I am stuck. Thanks for help!
You are using a docker-compose.yml file, therefore you need to use the docker-compose command to run it:
docker-compose up
That's all you need, and you can read more about it in the official docs.
To run it without using docker compose, then your docker command needs to be:
docker run --publish 8000:8000 django_docker
If you want to restrict the site to be available only on your localhost, then bind to 127.0.0.1:
docker run --publish 127.0.0.1:8000:8000 django_docker
Try these
update dockerfile
# Pull base image
FROM python:3.7
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1
# Set work directory
WORKDIR /code
# Install dependencies
COPY Pipfile Pipfile.lock /code/
RUN pip install pipenv && pipenv install --system
# Copy project
COPY . /code/
update dockor-compose.yml
version: '3.7'
services:
web:
build: .
command: python /code/manage.py runserver 0.0.0.0:8000
volumes:
- .:/code
ports:
- 8000:8000
after updating just run one commands in terminal
docker-compose up -d --build
to stop it use
docker-compose down