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faculty_scraper.py
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faculty_scraper.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# 3.6
# @Filename: faculty_scraper.py
# @Author: Samuel Hill
# @Email: [email protected]
# @Date: 2019-03-11 12:25:27
# @Last Modified by: Samuel Hill
# @Last Modified time: 2019-03-22 04:29:06
"""
General description of purpose.
More specific lorem ipsum dolor sit amet, consectetur adipiscing elit.
Quisque a lacus nulla. Vestibulum sodales eros ligula. Nullam euismod
libero magna.
"""
# IMPORTS
import string
import os
import pickle
from requests_html import HTMLSession
from college_scraper import CollegeScraper
# MODULE AUTHORSHIP INFO
__author__ = "Samuel Hill"
__copyright__ = "Copyright 2019, Samuel Hill."
__credits__ = ["Samuel Hill"]
# CLASSES
class FacultyScraper(object):
"""docstring for FacultyScraper"""
# attributes to look for on faculty details page in xpath
FACULTY_NAME = '//h1[@id="page-title"]/text()'
ADDRESS = '//div[@id="faculty-profile-left"]/text()'
PHONE_NUM = '//a[@class="phone_link"]/span/text()'
# smaller strings to combine
follow = 'following-sibling::'
preced = 'preceding-sibling::'
h2_dept = 'h2="Departments"'
h2_site = 'h2[@class="sites-header"="Website"]'
h2_affil = 'h2="Affiliations"'
h2_edu = 'h2 = "Education"'
h2_inter = 'h2 = "Research Interests"'
omit_cv = 'a[@href and not(text() = "Download CV")]'
find_cv = 'a[@href and text() = "Download CV"]'
a_href = '/a[@href]/@href'
a_text = '/a[@href]/text()'
temp1 = '//p[{} and {}]'
temp2 = '//p[{}]/'
# remaining attributes, based on component strings above
WEBPAGES = temp1.format(follow + h2_dept, preced + h2_site) + a_href
WEBNAMES = temp1.format(follow + h2_dept, preced + h2_site) + a_text
DEPARTMENT1 = temp1.format(follow + 'hr', preced + h2_dept) + a_text
DEPARTMENT2 = temp1.format(follow + h2_affil, preced + h2_dept) + a_text
AFFILIATIONS = (temp2 + '{}/text()').format(preced + h2_affil, omit_cv)
CV_LINK = (temp2 + '{}/@href').format(preced + h2_affil, find_cv)
EDUCATION = temp1.format(preced + h2_edu, follow + h2_inter) + '/text()'
INTERESTS = temp2.format(preced + h2_inter) + '/text()'
def __init__(self, session=None, url=''):
super(FacultyScraper, self).__init__()
self.session = session if session else HTMLSession()
self.colleges = CollegeScraper()
self.colleges.from_pickle()
self.faculty_data = {}
if url != '':
self.scrape(url)
def __str__(self):
fac_id = self.faculty_data['id']
mt_fn = '(SocialModelMtFn {})'.format(fac_id)
krf = '(in-microtheory {})\n'.format(mt_fn)
krf += '(isa {} NUPerson)\n'.format(fac_id)
krf += '(isa {} NUFaculty)\n'.format(fac_id)
for department in self.faculty_data['departments']:
if department != 'Electrical Engineering and Computer Science':
dept_id = CollegeScraper.make_unique(department)
krf += '(department {} {})\n'.format(fac_id, dept_id)
if self.faculty_data['education']:
for edu in self.faculty_data['education']:
if 'Ph.D' in edu:
krf += '(isa {} AcademicProfessional)\n'.format(fac_id)
krf += '(titleOfPerson {} Dr)\n'.format(fac_id)
break
for edu in self.faculty_data['education']:
degrees = ['M.S', 'MS', 'M.A', 'B.S', 'BS', 'B.A', 'B.E',
'M.E', 'M. Mus', 'B. Mus', 'Master of Fine Arts',
'B. Tech', 'A.B', 'S.M', 'S.B', 'B.CSci',
'Master of Science', 'Bachelor of Arts', 'Ph.D']
for degree in degrees:
if degree in edu:
abbrev = self.upper_only(degree)
abbrev = 'PhD' if degree == 'Ph.D' else abbrev
krf += self.schooling(edu, abbrev, fac_id)
break
if self.faculty_data['phone_number']:
phone = self.faculty_data['phone_number']
krf += '(phoneNumberOf {} "{}")\n'.format(fac_id, phone)
email = self.faculty_data['email']
krf += '(emailOf {} "{}")\n'.format(fac_id, email)
if self.faculty_data['personal_site']:
site = self.faculty_data['personal_site']
krf += '(personalWebsite {} "{}")\n'.format(fac_id, site)
room_number = self.faculty_data['room_number']
krf += '(officeLocation {} "{}")\n'.format(fac_id, room_number)
krf += '(in-microtheory EnglishMt)\n'
krf += '(fullName {} "{}")\n'.format(fac_id, self.faculty_data['name'])
last_name = self.faculty_data['name'].split(' ')[-1:][0]
first_name = self.faculty_data['name'].split(' ')[0]
name_temp = '(indexedProperName (TheList {}) {} {})\n'
krf += name_temp.format('professor', last_name, fac_id)
krf += name_temp.format('doctor', last_name, fac_id)
krf += name_temp.format(first_name, last_name, fac_id)
return krf
@staticmethod
def upper_only(abbrev):
abbrev = CollegeScraper.make_unique(abbrev)
return abbrev.translate(str.maketrans('', '', string.ascii_lowercase))
def schooling(self, edu, degree, fac_id):
krf = ''
template = '(schooling {} {} {})\n'
splitedu = edu.split(',')
found = False
options = []
for i in range(len(self.colleges.colleges_dict)):
# print(self.colleges.colleges_dict[i]['name'])
college = self.colleges.colleges_dict[i]
# for college in self.colleges.colleges_dict.items():
if college['name'] in edu:
krf += template.format(fac_id, college['id'], degree)
found = True
break # Exact match, look no further
if len(splitedu) > 1:
# normal format is degree type (and field), school
if splitedu[1] in college: # 1 for school name, partial match
options.append(college['id']) # add to list to go over...
if not found:
if len(options) == 1: # only 1 option, use it
krf += template.format(fac_id, options[0], degree)
elif len(options) > 1: # multiple options, check the state
for option in options:
if splitedu[2] in option: # normally split 2 is the state
krf += template.format(fac_id, option, degree)
break
with open('extra_schools.pickle', 'rb') as data_file:
extras = pickle.load(data_file)
for extra in extras:
if extra['text'] in edu: # not found in college scrape
krf += template.format(fac_id, extra['id'], degree)
break
return krf
def scrape(self, url):
content = self.session.get(url).html
name = content.xpath(self.FACULTY_NAME, first=True)
full_address = content.xpath(self.ADDRESS)
if full_address:
address = '{} {}'.format(full_address[0], full_address[2])
room = full_address[1]
else:
address, room = '', ''
webpages = content.xpath(self.WEBPAGES)
webnames = content.xpath(self.WEBNAMES)
websites = list(zip(webpages, webnames))
personal_site = ''
for page, page_name in websites:
if name in page_name:
personal_site = page
dept2 = content.xpath(self.DEPARTMENT2)
self.faculty_data = {
'name': name,
'id': CollegeScraper.make_unique(name),
'url': url,
'address': address,
'room_number': room,
'phone_number': content.xpath(self.PHONE_NUM, first=True),
'email': content.find('.mail_link', first=True).attrs['href'][7:],
'websites': websites,
'personal_site': personal_site,
'departments': dept2 if dept2 else content.xpath(self.DEPARTMENT1),
'affiliations': content.xpath(self.AFFILIATIONS),
'cv_link': content.xpath(self.CV_LINK),
'education': content.xpath(self.EDUCATION),
'interests': content.xpath(self.INTERESTS)
}
class NorthwesternFaculty(object):
"""docstring for NorthwesternFaculty"""
BASE_PAGE = 'http://www.mccormick.northwestern.edu'
EECS_PEOPLE = '/eecs/computer-science/people/'
FACULTY_PAGE = BASE_PAGE + EECS_PEOPLE
FACULTY_CSS = '.faculty-info > h3 > a'
def __init__(self):
super(NorthwesternFaculty, self).__init__()
self.session = HTMLSession()
self.all_faculty = []
def __str__(self):
return '\n\n'.join([str(fac) for fac in self.all_faculty])
def scrape_all(self):
base = self.session.get(self.FACULTY_PAGE)
# by using a set, everything is in a random order each run
set_of_links = set({})
for element in base.html.find(self.FACULTY_CSS):
set_of_links |= element.links
for url in set_of_links:
self.all_faculty.append(FacultyScraper(self.session, url))
def to_krf(self):
"""Outputs the internal faculty data (as a string) to the filename
specified in a path relative to where this program was called from."""
real_dir = os.path.dirname(os.path.realpath(__file__))
with open('{0}/{1}'.format(real_dir, 'faculty.krf'), 'w+') as outfile:
outfile.write(str(self))
def to_pickle(self):
"""Pickles the all_faculty into a compressed binary file for easy
reading in by other python programs."""
with open('faculty.pickle', 'wb') as outfile:
pickle.dump(self.all_faculty, outfile)
def from_pickle(self):
"""Reads the previously pickled scraped faculty data back in as if the
data was scraped again."""
with open('faculty.pickle', 'rb') as data_file:
self.all_faculty = pickle.load(data_file)
if __name__ == '__main__': # code to execute if called from command-line
NF = NorthwesternFaculty()
# NF.scrape_all()
# NF.to_pickle()
# NF.to_krf()
NF.from_pickle()
print(NF)