For those of you who attended Dev Days in LA, I presented on a process that uses Python Selenium to drill out loan rules and attached TOUs into a report, to make adminstration of these loan rules easier. The trouble with this report is it's hard for people not familiar with the structure of loan rules to read, such as partners in Circulation/Fulfillment. To improve this, and to assist with an upcoming project where we're making wide scale changes to item policies across all of our libraries 1 million + records, I created a script that drives the Fulfillment Configuration Utility for *each one of your meaningful loan rule scenarios*, which may number in the thousands, that is every combination of item policy, location, and user group that you deem relevant, as provided by an associated Analytics also available to the community.
For those of you who attended Dev Days in LA, I presented on a process that uses Python Selenium to drill out loan rules and attached TOUs into a report, to make adminstration of these loan rules easier. The trouble with this report is it's hard for people not familiar with the structure of loan rules to read, such as partners in Circulation/Fulfillment. To improve this, and to assist with an upcoming project where we're making wide scale changes to item policies across all of our libraries 1 million + records, I created a script that drives the Fulfillment Configuration Utility for *each one of your meaningful loan rule scenarios*, which may number in the thousands, that is every combination of item policy, location, and user group that you deem relevant, as provided by an associated Analytics also available to the community.
Marquis Ballroom/Salons A,B,C Ex Libris Knowledge Days and ELUNA Conference 2025 eluna-conf-planning@exlibrisusers.orgTechnical Issues?
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