Can some clever caching of schemas speed things up?

[edeutsch]

Not crucial or urgent, and I'm not certain this is a problem, but here are my musings:

• It seems likely that every time the validator is run (including import), the TRAPI YAML and the Biolink YAML are probably fetched and parsed
• Parsing YAML in Python is REEEEALY slow, like stunningly slow. Parsing the same model from JSON is 100x faster
• Parsing the Biolink YAML and the TRAPI YAML each take like 0.5 seconds. Parsing the equivalent JSON is like 0.005 seconds.
• Plus, are we also downloading these files each time from GitHub?
• When someone clicks on a parent PK in the ARAX GUI, ARAX ends up validating a whole batch of documents in parallel, each probably paying the cost of downloading and parsing the YAMLs. Probably each process pays a penalty of over a second?

I wonder if some clever caching would improve each validation by at least a second.
Maybe not huge, but when someone is waiting on the result, not paying a 1 second cost 10 times may be a benefit.

Not trivial though. Where do you store the caches? How do you make the JSON conversion storage thread and concurrent process safe?

Maybe a job for ARAX, not for the validator? I don't know.