Copyright (C) 2021-2022 The Open Library Foundation. This software is distributed under the terms of the Apache License, Version 2.0. See the file LICENSE for more information.
LDLite is a lightweight, open source reporting tool for Okapi-based services. It is part of the Library Data Platform project and provides basic LDP functions without requiring the server to be installed.
To install LDLite or upgrade to the latest version:
$ python -m pip install --upgrade ldlite(On some systems it might be python3 rather than python.)
To extract and transform data:
$ python
>> > import ldlite
>> > ld = ldlite.LDLite()
>> > ld.connect_okapi(url='https://folio-juniper-okapi.dev.folio.org/',
tenant='diku',
user='diku_admin',
password='admin')
>> > db = ld.connect_db()
>> > _ = ld.query(table='g', path='/groups', query='cql.allRecords=1 sortby id')
ldlite: querying: / groups
ldlite: created
tables: g, g__t, g__tcatalog
>> > ld.select(table='g__t') __id | id | desc | expiration_offset_in_days | group
------+--------------------------------------+-----------------------+---------------------------+-----------
1 | 3684a786-6671-4268-8ed0-9db82ebca60b | Staff Member | 730 | staff
2 | 503a81cd-6c26-400f-b620-14c08943697c | Faculty Member | 365 | faculty
3 | ad0bc554-d5bc-463c-85d1-5562127ae91b | Graduate Student | | graduate
4 | bdc2b6d4-5ceb-4a12-ab46-249b9a68473e | Undergraduate Student | | undergrad
(4 rows)
>> > _ = ld.query(table='u', path='/users', query='cql.allRecords=1 sortby id')
ldlite: querying: / users
ldlite: created
tables: u, u__t, u__t__departments, u__t__personal__addresses, u__t__proxy_for, u__tcatalog
>> > cur = db.cursor()
>> > _ = cur.execute("""
CREATE TABLE user_groups AS
SELECT u__t.id, u__t.username, g__t.group
FROM u__t
JOIN g__t ON u__t.patron_group = g__t.id;
""")
>> > ld.export_excel(table='user_groups', filename='groups.xlsx')- Queries Okapi-based modules and transforms JSON data into tables for easier reporting
- Full SQL query support and export to CSV or Excel
- Compatible with DBeaver database tool
- Compatible with DuckDB and PostgreSQL database systems
- PostgreSQL support enables:
- Sharing the data in a multiuser database
- Access to the data using more database tools
- Storing the data in an existing LDP database if available
- Runs on Windows, macOS, and Linux.
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The LDP project runs a Slack workspace which is a good place to ask questions or to share your work. It also serves as a community space for working together on library data problems. To request an invitation, use the Contact page on the LDP website.
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Report bugs at Issues