Our status messages on the LPA-dashboard could and should be standardized. then stored in the performance database
Considerations
determining the status of a dataset has many considerations including
completeness
endpoint status
issue of level error rate
issue of level warning rate
We could and should work with data management to come to conclusions on these
ToDo:
[ ] come up with status names and also status states.
[ ] run them by data management and make sure they agree
[ ] pass these onto infrastructure, have them implement our agreed state classification logic into the pipeline that generates the performance database
[ ] update our code to pull status's from the performance database
Problem statement
Our status messages on the LPA-dashboard could and should be standardized. then stored in the performance database
Considerations
determining the status of a dataset has many considerations including
ToDo: