Create Dockerfile

[bfrizzell01]

• added Python 3.11 dependency to environment.yml
• removed conda-lock.yml, replaced with conda-linux-64.lock
• added Dockerfile
• added docker publish action

[bfrizzell01]

Todo: Add deepcheck package to conda-lock

[bfrizzell01]

Also add brief instructions for running docker container

[MasonZhang-MZ]

Thanks for setting up the environment, Ben. Just spotted 2 small issues:

1. deepchecks version confirmation in environment.yml
2. Automate the installation for deepchecks in Dockerfile

Please see comments on environment.yml and Dockerfile for detail.

[MasonZhang-MZ]

Might need to automate the installation for deepchecks during the build process by adding RUN pip install deepchecks==0.3.2 at the end of the Dockerfile (for deepchecks version, please refer to the comment on the environment.yml file to confirm which version to install).

[bfrizzell01]

Is the deepchecks package not included on your end when you run the container? It seems to properly install on my end. Let me know, and if you have issues I will make sure to implement this.

Update: refer to my following comment about the environment.yml file regarding this.

[MasonZhang-MZ]

container runs fine on my end with deepchecks installed, thanks @bfrizzell01

[bfrizzell01]

I've added the requested line to Dockerfile. Data Validation should now work properrly, @y1chi-z .

[MasonZhang-MZ]

Just double-checking for the pinned version of deepchecks, any particular reason of using 0.3.2? 0.18.1 should be the latest release, if there are any compatibility issue with this version, please disregard this comment.

[bfrizzell01]

0.3.2 was the version that conda automatically installed into our environment with the other packages, so i'm assuming that is the version that is most compatible. But I can try it with the newer version and see if there are any issues.

Update: It does seem that version 0.18.1 has conflicts with other pinned package versions, so I've added a line to Dockerfile to include the newest version.