ArchivesSpace Reporting and Cleanup Python Scripts

To run these scripts, you will need the following libraries installed:

• ArchivesSnake
• Pandas
• TQDM

You will also need to edit the script with your credentials here:

client = ASnakeClient(baseurl='xxx',
                      username='xxx',
                      password='xxx')

Includes:

• accessions_reporting.py: reports the physical extent of a local ASpace instance's Accessions entered in a fiscal year as a CSV file. (This goes by the creation date of the record, not the accession identifier itself.)

• legacy_html_hunter.py: reports the presence of bracketed HTML code in resource record titles, object record titles, and notes texts as CSV files.

• location_grabber.py: reports the high level storage locations for each collection in a local ASpace instance as a CSV file. The report is a master list detailing which collections are stored where (for example, on-site vs local storage vs Iron Mountain), as well as determines if the finding aid includes that data correctly in the "Conditions Governing Access" field.

• all_objects_report: reports all digital objects, featuring information on linked records, extents, and notes.

• See also Aspace Comma Endings: looks for resource/digital object titles that end with a comma and changes all of the matching titles found.