Made by Ritwik Gupta at the University of Pittsburgh in an effort to get more open data from Pitt.
from PittAPI import course, dining, lab, laundry, library, news, people, shuttle, textbook
### Courses
# Will return a dictionary of all CS courses
cs_subject = course.get_subject_courses(subject='CS')
courses_dict = cs_subject.courses
# Will return a list of sections of a course during a given term
cs_course = course.get_course_details(term='2244', subject='CS', course='1501')
section_list = cs_course.sections
### Textbook
# Will return a list of dictionaries containing textbooks for a class
# term number comes from pitt.verbacompare.com
small_dict = textbook.get_textbook(term="3150", department="CS", course="445", instructor="RAMIREZ")
### Library
# Will return a dictionary containing results from query
big_dict = library.get_documents(query="computer")
### News
# Will return a list of dictionaries containing news from main news feed
medium_dict = news.get_news()
### Laundry
# Will return a dictionary with amount of washers and dryers
# in use vs. total washers and dryers at building
small_dict = laundry.get_status_simple(building_name="TOWERS")
### Computer Lab
# Will return a dictionary with status of the lab, and amount
# of machines with a certain OS
small_dict = lab.get_status(lab_name="ALUMNI")
### Shuttle
# Will return a list of dictionaries containing routes of shuttles
big_dict = shuttle.get_routes()
### People
# Will return a list of people based on the query
list_of_peeps = people.get_person(query="Smith")
### Dining
# Will return a dictionary of dictionaries containing each dining location,
# with its name, its open/closed status, and open times (if it exists)
medium_dict = dining.get_locations()
medium_dict = dining.get_locations_by_status(status="open")
medium_dict = dining.get_locations_by_status(status="closed")
# Will return a single dictionary of a dining location,
# with its name, its open/closed status, and open times (if it exists)
one = dining.get_location_by_name("taco_bell-schenley_cafe")
two = dining.get_location_by_name("cup_&_chaucer-hillman")Install Python 3.12 and pipenv.
Run pipenv install and pipenv shell to create and setup the virtual environment.
Run tests with
pytest --cov=pittapi tests/
This project is licensed under the terms of the GPLv2 license