Create archive process and then Archive nbless

[lwasser]

I am updating this issue to address the infra that we need to archive a package.

Step 1 - update pyosmeta model for packages

1. add a new yaml key to the package data file
   let’s come up with a key together in our packages yaml file to indicate an archived package.

Suggestion:
archive: True

to implement this you will have to add a archive: bool which defaults to false to this ReviewModel in pyosMeta.

Once the above is done, we can update the nbless item to be True through a manual commit.

Step 2 - update the website

• Update this page - https://github.com/pyOpenSci/pyopensci.github.io/blob/main/_pages/python-packages.md to include a liquid filter that filters packages where archive == True.
• Add a section to that page to list archived packages - we can create a page in the future when we have more archived packages. But for now let's eep this simple

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The NBless package has not been updated in several years. I have also tried to reach out to the maintainer via email and GitHub with no response. As such, we should archive nbless following our pyOpenSci policies.

This issue begins that process. To accommodate this, I'll need to update our website package listing with an archived package section.

pyOpenSci/software-submission#109 <- this is the issue where we discussed updating all of the older review metadata to support website search.

[banesullivan]

To do this, I'm going to add a field to the pyosMeta ReviewModel to track this archived status and populate that value from a new label on issues. This will let us go back and simply add a label to a package's review issue to mark it as "archived".

Trouble is, we already have a field named "archive" on the ReviewModel so a question arises: what do we want to call this field and what should we name the label that would be applied to these issues? Right now, I'm thinking:
GitHub issue label is archived and the model field is a boolean with name active. All reviews will default to active=True and if the archived label is applied then active will be set to False.

Implementation is proposed here: pyOpenSci/pyosMeta#242

You can view the new archived label and currently archived packages here: https://github.com/pyOpenSci/software-submission/issues?q=label%3Aarchived