I'm new to Docker. I'm using Docker & docker-compose, going through a flask tutorial. The base docker image is python 2.7 slim. It's running on Linux. docker 1.11.2 The application is working fine. I want to get pycharm pro connecting to the remote interpreter, something I have never done before.
I followed the instructions for docker-compose. Initially it was failing because it could not connect to port 2376. I added this port to docker-compose.yml and the error went away. However, trying to save the configuration now stalls/hangs with a dialog 'Getting Remote Interpreter Version'. This never completes. Also, I can't quit pycharm. This happens in Pycharm 2016.2 and 2016.3 EAP (2nd).
The help say "SFTP support is required for copying helpers to the server". Does this mean I need to do something?
I'm not using docker-machine The problem was that TCP access to the docker API is not established by default under ubuntu 16.04.
There are suggestions to enable TCP/IP access.
However, JetBrains gave me the simplest solution:
If you are using Linux it is most likely that Docker installed with its default setup and Docker is expecting to be used through UNIX domain file socket /var/run/docker.sock. And you should specify unix:///var/run/docker.sock in the API URL field. Please comment whether it helps!
This suggestion worked with my Ubuntu 16.04 -derived distribution.
This goes into the Docker entry in PyCharm preferences under Build, Execution, Deployment.
You can also edit this while setting up a remote interpreter, but only by making a new Docker entry.
TCP/IP Method
This method works if you want TCP/IP access, but this is a security risk. The socket approach is better, which is probably why it is the default.
https://coreos.com/os/docs/latest/customizing-docker.html
Customizing docker
The Docker systemd unit can be customized by overriding the unit that ships with the default CoreOS settings. Common use-cases for doing this are covered below.
Enable the remote API on a new socket
Create a file called /etc/systemd/system/docker-tcp.socket to make Docker available on a TCP socket on port 2375.
[Unit] Description=Docker Socket for the API [Socket] ListenStream=2375 BindIPv6Only=both Service=docker.service [Install] WantedBy=sockets.target
Then enable this new socket:
systemctl enable docker-tcp.socket systemctl stop docker systemctl start docker-tcp.socket systemctl start docker
Test that it’s working:
docker -H tcp://127.0.0.1:2375 ps
Once I thought to search for ubuntu 16.04 I came across simpler solutions, but I did not test them.
For instance:
https://www.ivankrizsan.se/2016/05/18/enabling-docker-remote-api-on-ubuntu-16-04/
Edit the file /lib/systemd/system/docker.service
Modify the line that starts with ExecStart to look like this:
ExecStart=/usr/bin/docker daemon -H fd:// -H tcp://0.0.0.0:2375
Where my addition is the “-H tcp://0.0.0.0:2375” part. Save the modified file. Restart the Docker service:
sudo service docker restart
Test that the Docker API is indeed accessible:
curl http://localhost:2375/version
I - docker-compose up
I think PyCharm will run docker-compose up
, have you try to run this command first in your terminal (from where your docker-compose.yml
is) ?
Maybe if some errors occur, you will get more info in your terminal.
II - pycharm docker configuration
Otherwise it could be due to your docker machine configuration in PyCharm.
What I do to configure my machine and to be sure this one is correctly configured:
1 - run docker-machine ls
in your shell
2 - copy paste the url without tcp://
3 - go to pycharm preferences -> Build, Execution, Deployement
-> Docker
-> +
to create a new server, fill the server name
field
4 - paste previously copied url keeping https://
5 - fill the path of your machine certificates folder
6 - tick Import credentials from Docker Machine
7 - click Detect
-> your machine should appear in the selection list
8 - save this server
9 - select this server when configuring your remote interpreter, from PyCharm Preferences -> Project
-> Project Interpreter
-> wheel
-> add remote
-> Docker
or Docker Compose
10 - you should be able to select a service name
11 - save your new interpreter
11 - try run your test twice, sometimes it could take time to initialize
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