Better documentation of search fields #99
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Coverage Report
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I made some corrections for things that I thought were wrong, but the majority looks pretty good to me and it strikes me is far better than nothing.
| title="Activity ID (CMIP6, Obs4MIPs)", | ||
| description=( | ||
| "Identifies the specific `activity` or MIP associated with the dataset (e.g., `CMIP`, `PMIP`, `DCPP`, `obs4MIPs`). It " | ||
| "replaces the broader `activity` field from CMIP5 and can be a space-separated list in CMIP6 <sup>1, 2</sup>.<br><br>" |
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Are we sure it can be a space-separated list in CMIP6? That doesn't sound right to be, each dataset should have only a single activity_id
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The Bad News: the CMIP6 Global Attributes, DRS, Filenames, Directory Structure, and CV’s doc, Table 1, note 3 says:
In a few cases it may be appropriate to include multiple activities in the activity_id (separated by single spaces). An example of this is “LUMIP AerChemMIP” for one of the CMIP6 land-use change experiments.
The Good News: neither my File nor Dataset searches turned up anything in the index with a such an entry, so it looks like that specification was never used. ...That or we messed up the ingest to the Globus Index...
| description="The `science driver` for the experiment, e.g., `aerosol`.", | ||
| openapi_examples={"aerosol": {"summary": "Aerosol", "description": "Aerosol science driver.", "value": "aerosol"}}, | ||
| ) | ||
| science_driver_: OptionalParam[MultiValued[str]] = Query(None, alias="science driver", title="Science Driver (Alternative)") |
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Maybe we should set more aliases? Can they be a list and include Science_Driver? We could handle others above in the same way.
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As near as I can tell from searching the Solr index, it looks like only science_driver was actually used, or at least that's the only one I can get facets back from.
That said, it's hard to know whether the other two were truly unused, or maybe we just never mirrored any files that used those fields?
To complicate things, it looks like only E3SM data used that field and the decision was made not to move that data into the Globus Index, so now that data is unreachable. Does that imply that we should drop these fields?
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I added some comments to things that I saw that were outright wrong or misleading. Reading through these makes me put my head in my hands a bit at the mess that some of this is, but my opinion is we should approve it as it is certainly 'better than nothing'.
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In case my comment was misleading, the mess I was referring to was the state of these facets... capitalized or not and/or with underscores. I also find it hard that there are many with similar names but you can't use them in certain projects ( |
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Updated the description with a few notes and more questions |
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Bumps [fastapi](https://github.com/fastapi/fastapi) from 0.115.14 to 0.116.1. - [Release notes](https://github.com/fastapi/fastapi/releases) - [Commits](fastapi/fastapi@0.115.14...0.116.1) --- updated-dependencies: - dependency-name: fastapi dependency-version: 0.116.1 dependency-type: direct:development update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <[email protected]>
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Mainly focused on improvements to the documentation of fields on the query model, but also generally improving the OpenAPI docs at https://esgf-node.ornl.gov/esgf-1-5-bridge/docs and https://esgf-node.ornl.gov/esgf-1-5-bridge/redoc
Initial titles and descriptions are generated through Google Gemini using governing documents pulled from various authoritative sites (PCMDI, WCRP, ESG Search documentation site) and are intended as a starting point. Extra effort has gone into describing how the usage of fields has changed between CMIP phases as fields may no longer be in use, but may still be needed by historical data.
Examples were generated similarly by first looping through each field and issuing a faceted query on that field to retrieve it's values and counts. If a result for a field was empty, the query was retried with
type=Fileunder the assumption that the field might only be populated forFilerecords (the default query is fortype=Dataset). These results were provided to Gemini as a json file with the following prompt:Science Drivervsscience drivervsscience_driverOf these fields, only
science_driverappears populated in our Solr indexOnly E3SM data appears to have populated the
science_driverfield and the decision was made not to migrate that data to the Globus Index so that data is now unreachable. Does that imply that we can drop these fields?Query results for https://esgf-node.ornl.gov/esg-search/search?format=application%2Fsolr%2Bjson&limit=10&facets=science_driver&query=science_driver:*&type=File
{ "responseHeader":{ "status":0, "QTime":71, "params":{ "facet.field":"science_driver", "df":"text", "q.alt":"*:*", "indent":"true", "echoParams":"all", "fl":"*,score", "start":"0", "fq":"type:File", "sort":"id asc", "rows":"10", "q":"science_driver:*", "shards":"esgf-data-node-solr-query:8983/solr/files", "tie":"0.01", "facet.limit":"-1", "qf":"text", "facet.method":"enum", "facet.mincount":"1", "facet":"true", "wt":"json", "facet.sort":"lex"}}, "response":{"numFound":2081681,"start":0,"maxScore":1.0,"docs":[ { "source":["E3SM"], "model_version":["1_0"], "experiment":["1950-Control-21yrContHiVol-HR"], "grid_resolution":["0_25deg_atm_18-6km_ocean"], "realm":["atmos"], "regridding":["720x1440"], "data_type":["climo"], "time_frequency":["mon"], "ensemble_member":["ens1"], "data_node":"esgf-node.ornl.gov", "index_node":"esgf-node.ornl.gov", "master_id":"E3SM.1_0.1950-Control-21yrContHiVol-HR.0_25deg_atm_18-6km_ocean.atmos.720x1440.climo.mon.ens1", "instance_id":"E3SM.1_0.1950-Control-21yrContHiVol-HR.0_25deg_atm_18-6km_ocean.atmos.720x1440.climo.mon.ens1.v1", "id":"E3SM.1_0.1950-Control-21yrContHiVol-HR.0_25deg_atm_18-6km_ocean.atmos.720x1440.climo.mon.ens1.v1.theta.20190910.branch_noCNT.n438b.unc03.A_WCYCL1950S_CMIP6_HR.ne120_oRRS18v3_ICG_01_005601_007601_climo.nc|esgf-node.ornl.gov", "title":"theta.20190910.branch_noCNT.n438b.unc03.A_WCYCL1950S_CMIP6_HR.ne120_oRRS18v3_ICG_01_005601_007601_climo.nc", "replica":false, "latest":true, "type":"File", "project":["e3sm"], "version":"1", "dataset_id_template_":["%(source)s.%(model_version)s.%(experiment)s.%(grid_resolution)s.%(realm)s.%(regridding)s.%(data_type)s.%(time_frequency)s.%(ensemble_member)s"], "directory_format_template_":["%(root)s/%(source)s/%(model_version)s/%(experiment)s/%(grid_resolution)s/%(realm)s/%(regridding)s/%(data_type)s/%(time_frequency)s/%(ensemble_member)s/%(version)s"], "variable_id":["Multiple"], "variable":["Multiple"], "north_degrees":89.875, "south_degrees":-89.875, "east_degrees":359.875, "west_degrees":0.125, "campaign":["HighResMIP-v1"], "science_driver":["Water Cycle"], "period":["56 - 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How did we arrive at this subset?