CGSpace Notes

2023-03-01

• Remove cg.subject.wle and cg.identifier.wletheme from CGSpace input form after confirming with IWMI colleagues that they no longer need them (WLE closed in 2021)
• iso-codes 4.13.0 was released, which incorporates my changes to the common names for Iran, Laos, and Syria
• I finally got through with porting the input form from DSpace 6 to DSpace 7

• I can’t put my finger on it, but the input form has to be formatted very particularly, for example if your rows have more than two fields in them with out a sufficient Bootstrap grid style, or if you use a twobox, etc, the entire form step appears blank

2023-03-02

• I did some experiments with the new Pandas 2.0.0rc0 Apache Arrow support
  • There is a change to the way nulls are handled and it causes my tests for pd.isna(field) to fail
  • I think we need consider blanks as null, but I’m not sure
• I made some adjustments to the Discovery sidebar facets on DSpace 6 while I was looking at the DSpace 7 configuration
  • I downgraded CIFOR subject, Humidtropics subject, Drylands subject, ICARDA subject, and Language from DiscoverySearchFilterFacet to DiscoverySearchFilter in discovery.xml since we are no longer using them in sidebar facets

2023-03-03

• Atmire merged one of my old pull requests into COUNTER-Robots:
  • COUNTER_Robots_list.json: Add new bots
• I will update the local ILRI overrides in our DSpace spider agents file

2023-03-04

• Submit a pull request on pycountry to use iso-codes 4.13.0

2023-03-05

• Start a harvest on AReS

2023-03-06

• Export CGSpace to do Initiative collection mappings
  • There were thirty-three that needed updating
• Send Abenet and Sam a list of twenty-one CAS publications that had been marked as “multiple documents” that we uploaded as metadata-only items
  • Goshu will download the PDFs for each and upload them to the items on CGSpace manually
• I spent some time trying to get csv-metadata-quality working with the new Arrow backend for Pandas 2.0.0rc0
  • It seems there is a problem recognizing empty strings as na with pd.isna()
  • If I do pd.isna(field) or field == "" then it works as expected, but that feels hacky
  • I’m going to test again on the next release…
  • Note that I had been setting both of these global options:

pd.options.mode.dtype_backend = 'pyarrow'
pd.options.mode.nullable_dtypes = True

• Then reading the CSV like this:

df = pd.read_csv(args.input_file, engine='pyarrow', dtype='string[pyarrow]'