-
Notifications
You must be signed in to change notification settings - Fork 0
/
events_scraper.py
234 lines (213 loc) · 9.89 KB
/
events_scraper.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# 3.6
# @Filename: events_scraper.py
# @Author: Samuel Hill
# @Email: [email protected]
# @Date: 2019-03-11 12:27:31
# @Last Modified by: Samuel Hill
# @Last Modified time: 2019-03-22 04:30:01
"""
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 io
import os
import pickle
import time
from datetime import datetime, timedelta, date
from selenium import webdriver
from requests_html import HTML
from college_scraper import CollegeScraper
# MODULE AUTHORSHIP INFO
__author__ = "Samuel Hill"
__copyright__ = "Copyright 2019, Samuel Hill."
__credits__ = ["Samuel Hill"]
# CLASSES
class EventScraper(object):
"""docstring for EventScraper"""
EVENT_NAME = '//div[@class="event_header"]/h2/text()'
REOCCURRING = '//p[@id="recurring"]'
WHERE_TEXT = '//span[text()[contains(.,"Where")]]/../text()'
AUDIENCE_TEXT = '//span[text()[contains(.,"Audience")]]/../text()'
CONTACT_TEXT = '//span[text()[contains(.,"Contact")]]/../text()'
CONTACT_MAIL = '//span[text()[contains(.,"Contact")]]/../a/text()'
GROUP_TEXT = '//span[text()[contains(.,"Group")]]/../a/text()'
COST_TEXT = '//span[text()[contains(.,"Cost")]]/../text()'
WHEN_TEXT = '//span[text()[contains(.,"When")]]/../text()'
CATEGORY_TEXT = '//span[contains(@class, "event_category")]/text()'
def __init__(self, driver, url=''):
super(EventScraper, self).__init__()
self.driver = driver
self.event_data = {}
if url != '':
self.scrape(url)
def __str__(self):
date_list = self.event_data['date'].split(',')
_, month_day, year = [d.strip() for d in date_list]
month, day = month_day.split(' ')
event_id = self.event_data['id']
new_id = 'NUEvent-{}-{}-{}-{}'.format(year, month[:3], day, event_id)
krf = '(in-microtheory (NUEventMtFn {}))\n'.format(new_id)
krf += '(isa {} NUEvent)\n'.format(new_id)
date_text = '(YearFn {})'.format(year)
date_text = '(MonthFn {} {})'.format(month, date_text)
date_text = '(DayFn {} {})'.format(day, date_text)
if 'All' in self.event_data['time']: # include 'All day'
duration = '(DaysDuration 1)'
else:
start, end = self.event_data['time'].split(' - ')
start_time, start_meridiem = start.split(' ')
start_hr, start_minute = start_time.split(':')
if start_meridiem == 'PM':
start_hr = int(start_hr) + 12 if int(start_hr) != 12 else 12
else:
start_hr = int(start_hr) if int(start_hr) != 12 else 0
date_text = '(HourFn {} {})'.format(start_hr, date_text)
date_text = '(MinuteFn {} {})'.format(start_minute, date_text)
start = '{}:{}'.format(start_hr, start_minute)
end_time, end_meridiem = end.split(' ')
end_hr, end_minute = end_time.split(':')
if end_meridiem == 'PM':
end_hr = int(end_hr) + 12 if int(end_hr) != 12 else 12
else:
end_hr = int(end_hr) if int(end_hr) != 12 else 0
end = '{}:{}'.format(end_hr, end_minute)
start = datetime.strptime(start, '%H:%M')
end = datetime.strptime(end, '%H:%M')
duration = end - start
duration = duration.seconds//60
krf += '(dateOfEvent {} {})\n'.format(new_id, date_text)
krf += '(durationOfEvent {} {})\n'.format(new_id, duration)
name = self.event_data['event_name']
krf += '(eventName {} "{}")\n'.format(new_id, name)
if self.event_data['location']:
location = self.event_data['location']
krf += '(eventLocale {} "{}")\n'.format(new_id, location)
krf += '(eventHost {} "{}")\n'.format(new_id, self.event_data['group'])
if self.event_data['contact_name']:
con_name = self.event_data['contact_name']
krf += '(eventHost {} "{}")\n'.format(new_id, con_name)
if self.event_data['contact_phone']:
con_phone = self.event_data['contact_phone']
krf += '(eventHost {} "{}")\n'.format(new_id, con_phone)
if self.event_data['contact_mail']:
con_mail = self.event_data['contact_mail']
krf += '(eventHost {} "{}")\n'.format(new_id, con_mail)
audience_template = '(eventAudience {} {})\n'
krf += '(eventAudience {} {})\n'.format(new_id, 'NUPerson')
for audience in self.event_data['audience']:
if audience == 'Faculty/Staff':
krf += audience_template.format(new_id, 'NUFaculty')
krf += audience_template.format(new_id, 'NUStaff')
elif audience == 'Post Docs/Docs':
krf += audience_template.format(new_id, 'NUPhDStudent')
krf += audience_template.format(new_id, 'NUMastersStudent')
elif audience == 'Student':
krf += audience_template.format(new_id, 'NUStudent')
krf += audience_template.format(new_id, 'NUUndergraduate')
elif audience == 'Public':
krf += audience_template.format(new_id, 'NUVisitor')
elif audience == 'Graduate Students':
krf += audience_template.format(new_id, 'NUGraduateStudent')
if self.event_data['reoccurring']:
krf += '(eventReoccurring {} t)\n'.format(new_id)
if self.event_data['cost']:
cost = self.event_data['cost']
krf += '(eventCost {} "{}")\n'.format(new_id, cost)
if self.event_data['category']:
category = self.event_data['category']
krf += '(eventCategory {} "{}")\n'.format(new_id, category)
return krf
def scrape(self, url):
self.driver.get(url)
content = HTML(html=self.driver.page_source)
name = content.xpath(self.EVENT_NAME, first=True)
clean_name = name.replace('“', '\\"').replace('"', '\\"')
reoccur = content.xpath(self.REOCCURRING, first=True)
raw_audience = content.xpath(self.AUDIENCE_TEXT, first=True)
audience = raw_audience.strip().replace('\t', '').split(' - ')
raw_contact = ''.join(content.xpath(self.CONTACT_TEXT))
no_space = raw_contact.strip().replace('\t', '').replace('\xa0', '')
contacts = no_space.split(' \n')
if len(contacts) == 1:
contact_name, contact_phone = contacts[0], ''
else:
contact_name, contact_phone = contacts
cost = content.xpath(self.COST_TEXT, first=True)
raw_when = content.xpath(self.WHEN_TEXT)
full_date, time_range = [d.strip() for d in raw_when]
self.event_data = {
'url': url,
'id': CollegeScraper.make_unique(name)[:30],
'event_name': clean_name,
'reoccurring': False if reoccur else True,
'location': ''.join(content.xpath(self.WHERE_TEXT)).strip(),
'audience': audience,
'contact_name': contact_name,
'contact_phone': contact_phone,
'contact_mail': content.xpath(self.CONTACT_MAIL, first=True),
'group': content.xpath(self.GROUP_TEXT, first=True),
'cost': cost.strip() if cost else cost,
'date': full_date,
'time': time_range,
'category': content.xpath(self.CATEGORY_TEXT, first=True)
}
class NorthwesternEvents(object):
"""docstring for NorthwesternEvents"""
EVENTS_PAGE = 'https://planitpurple.northwestern.edu'
EVENTS_LIST = '//ul[@class="events"]/li/a/@href'
def __init__(self, num_weeks=4):
super(NorthwesternEvents, self).__init__()
self.num_weeks = num_weeks
options = webdriver.ChromeOptions()
options.add_argument('headless')
self.driver = webdriver.Chrome(chrome_options=options)
self.all_events = []
def __str__(self):
return '\n\n'.join([str(event) for event in self.all_events])
def scrape_num_weeks(self):
today = date.today()
for _ in range(self.num_weeks):
today_search = '/#search={}/0/1+5/1//week'.format(today)
url = self.EVENTS_PAGE + today_search
self.driver.get(url)
time.sleep(1)
content = HTML(html=self.driver.page_source)
event_pages = content.xpath(self.EVENTS_LIST)
for event_page in event_pages:
url = self.EVENTS_PAGE + event_page
self.all_events.append(EventScraper(self.driver, url))
today += timedelta(days=7)
def to_krf(self):
"""Outputs the internal events 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__))
filename = '{0}/{1}'.format(real_dir, 'events.krf')
with io.open(filename, 'w+', encoding='utf-8') as outfile:
outfile.write(str(self))
def to_pickle(self):
"""Pickles the all_events into a compressed binary file for easy
reading in by other python programs."""
events = [e.event_data for e in self.all_events]
with open('events.pickle', 'wb') as outfile:
pickle.dump(events, outfile)
def from_pickle(self):
"""Reads the previously pickled scraped events data back in as if the
data was scraped again."""
with open('events.pickle', 'rb') as data_file:
events = pickle.load(data_file)
for event in events:
new_event = EventScraper(self.driver)
new_event.event_data = event
self.all_events.append(new_event)
if __name__ == '__main__': # code to execute if called from command-line
NE = NorthwesternEvents()
# NE.scrape_num_weeks()
# NE.to_pickle()
# NE.to_krf()
NE.from_pickle()
print(NE)