Enhance METbaseimage to install the YAML Python package

[JohnHalleyGotway]

Describe the Enhancement

dtcenter/MET#2550 adds new dependency on the YAML Python package. The TC-Diag tool calls newly added Python diagnostics code which require YAML. This issue is to update METbaseimage to install YAML.

Recommend combining this change with #13 to create a single new tagged version of METbaseimage.

Time Estimate

1 hour

Sub-Issues

Consider breaking the enhancement down into sub-issues.

Relevant Deadlines

List relevant project deadlines here or state NONE.

Funding Source

2770043

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• Select engineer(s) or no engineer required
• Select scientist(s) or no scientist required: Recommend having @DanielAdriaansen review the PR to keep him aware of Python-related updates.

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Define Related Issue(s)

Consider the impact to the other METplus components.

• METplus, MET, METdataio, METviewer, METexpress, METcalcpy, METplotpy
  No additional impacts.

Enhancement Checklist

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• Complete the issue definition above, including the Time Estimate and Funding Source.
• Fork this repository or create a branch of develop.
  Branch name: feature_<Issue Number>_<Description>
• Complete the development and test your changes.
• Add/update log messages for easier debugging.
• Add/update unit tests.
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• Close this issue.

[JohnHalleyGotway]

Manually built on my laptop using the following commands:

bash
cd /Volumes/d1/projects/METbaseimage/.github/jobs
export GITHUB_WORKSPACE=/Volumes/d1/projects/METbaseimage
export GITHUB_TAG=v3.1
export DOCKERHUB_BASE_REPO=dtcenter/met-base
export DOCKERHUB_UNIT_TEST_REPO=dtcenter/met-base-unit-test
./build_docker_image.sh

Pushed the resulting images to DockerHub for testing with the dtcenter/MET#2728 pull request.

docker push dtcenter/met-base:v3.1
docker push dtcenter/met-base-unit-test:v3.1

Note that these manually created v3.1 images will be replaced by GHA when we actually create the official v3.1 METbaseimage release.