ADD: experimental search feature which queries CVs #147
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This PR uses a facet search to build a sqlite3 database of CVs from projects we support. We then enable a free text search where the proper faceted search keywords are populated behind the scenes. This search:
will internally query the local CV database to generate these keywords:
{ "experiment_id": ["historical", "ssp585"], "frequency": "mon", "member_id": "r1i1p1f1", "source_id": ["CESM2", "CESM2-WACCM", "CESM2-FV2", "CESM2-WACCM-FV2"], "variable_id": "gpp", }which are then passed into the search like normal. Terms are case insensitive and wildcards like
*or%do work. Terms that are not found in the database are skipped.