How to use Docker in Pycharm - 1 - Configure Container and Save it as an Image

How to use Docker in Pycharm

I prefer terminal commands than GUI but when I use Pycharm… I had to know how to configure things with GUI.

This post will show you how to

1. Start a Docker Container with the Docker Image
2. Configuration of a Docker Container
3. Save the Container as an Docker Image

OS: Linux, Debian, Ubuntu 16.04

1. Start a Docker Container with the Docker Image

ref: learnopencv.com/install-opencv-docker-image-ubuntu-macos-windows/
I was trying to use OpenCV at the moment so let’s start with this page and I will assume you already have your Docker server running and you already have your Docker Image you want to use.

 

 

In the 8:Services tab, I already added Docker service in Pycharm and named the daemon as VideoAnalysis.
You can see the spmallick/opencv-docker:opencv docker image under the Images.

 

2. Configuration of a Docker Container

If you right click the name of the image, you can see Create Container, and if you click this Pycharm will show you a Docker Configuration editor.
So the Docker running command, can be configured in this editor.
For example, if I want to run the command below,

docker run -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -p 5000:5000 -p 8888:8888 -it spmallick/opencv-docker:opencv /bin/bash

This command can be saved as a configuration in Pycharm like the image below. *I also added mounting point with Bind mounts menu, so that I can use my scripts in it without saving it in the image.

 

 

Here, I named the docker container as video_analysis. *--device=/dev/video0:/dev/video0 tag will not work if you don’t have the camera.
Now, you can apply this settings and run the container.
The configuration editor can be found if you right click the name of the container.
Multiple configurations for each image can be saved.

3. Save the Container as an Docker Image

So here I wanted to change the image so that I don’t have to run trivial stuffs. You remember I put /bin/bash command to be executed in the configuration.
This one means sourcing ~/.bashrc in the container.
Then I added some commands I would like to execute by default.
In this case, I was going to use OpenCV-3-4-3 and it was configured in an virtual environment of the docker image. (I don’t understand why people use virtual environments in the virtual environments but… anyway…)
So, I added a command line workon OpenCV-3.4.3-py3 into ~/.bashrc file like below.

 

echo workon OpenCV-3.4.3-py3 >> ~/.bashrc

 

Then I want to save this container as an image and create a new container with the new image. The reference page shows you how to make a new image from the container more in detail but I will show you what I’ve done as well.
ref: www.scalyr.com/blog/create-docker-image/

All we need is the Container ID or the name of the Container name. I will just use the Container name.
I was trying to find how I can do this with GUI but I couldn’t so I just used terminal to run this command below.

docker commit video_analysis_test new_opencv_image

 

new_opencv_image is the tag of the image.
Now you can see the new image is added in the Docker server.

 

Finally, you can create a new container with this new image.

To be continued…

Next, I will show you how to use the virtual environment in the docker image as an interpreter of Pycharm.

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