ldlite 3.2.1

Lightweight analytics tool for FOLIO services

LDLite

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 FOLIO services. It is part of the Library Data Platform project and provides basic LDP functions without requiring the server to be installed.

LDLite supports two modes of usage.

• Ad-hoc uses a local DuckDB to enable downloading small amounts of data and querying using sql.
• Server uses a persistent postgres server and managed cron server to download large amounts of data for analytic processing and reporting.

Usage with a persistent postgres server

See the Five Colleges Setup for an example of automating overnight data loads.

Usage for ad-hoc local querying

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.)

If you encounter the error ImportError: no pq wrapper available. you can either

• Run python -m pip install psycopg[binary]
• Ensure the libpq package is installed for your operating system

Check out the migration guide for more information about major version upgrades.

To extract and transform data:

$ python
>> > import ldlite
>> > ld = ldlite.LDLite()
>> > ld.connect_folio(url='https://folio-etesting-snapshot-kong.ci.folio.org',
                      tenant='diku',
                      user='diku_admin',
                      password='admin')
>> > db = ld.connect_db()
>> > _ = ld.query(table='g', path='/groups')
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')
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_csv(table='user_groups', filename='groups.csv')

Features

• Queries FOLIO modules and transforms JSON data into tables for easier reporting
• Full SQL query support and export to CSV
• 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.

More examples

• An example running in Jupyter Notebook

• Loading sample data from FOLIO demo sites

• Using LDLite with SRS MARC data

LDLite resources

• LDLite API documentation

• 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.

• Report bugs at Issues

Other resources

• FOLIO API documentation

• Python learning resources