adds a scraper to update the articles file

diff --git a/wikipedia_views/scripts/wikiproject_scraper.py b/wikipedia_views/scripts/wikiproject_scraper.py
new file mode 100755 (executable)
index 0000000..2ee3742
--- /dev/null
+++ b/wikipedia_views/scripts/wikiproject_scraper.py
@@ -0,0 +1,120 @@
+#!/usr/bin/env python3
+
+###############################################################################
+#
+# This script scrapes the Covid-19 Wikiproject
+# 
+# It (1) hits the fcgi to find out how many rounds. Then (2) hit the fcgi 
+# that many rounds, cooking that information down to just a list of article names and
+# then (3) saves it out.
+#
+# At time of writing:
+# the fCGI returns only 1000 max, no matter what you put in the limit. page 1 looks like this....
+# https://tools.wmflabs.org/enwp10/cgi-bin/list2.fcgi?run=yes&projecta=COVID-19&namespace=&pagename=&quality=&importance=&score=&limit=1000&offset=1&sorta=Importance&sortb=Quality
+#
+# and page 2 looks like this
+# https://tools.wmflabs.org/enwp10/cgi-bin/list2.fcgi?namespace=&run=yes&projecta=COVID-19&score=&sorta=Importance&importance=&limit=1000&pagename=&quality=&sortb=Quality&&offset=1001
+#
+###############################################################################
+
+import argparse
+import requests
+import datetime
+import logging
+import re
+import math
+from bs4 import BeautifulSoup
+
+def parse_args():
+
+    parser = argparse.ArgumentParser(description='Get a list of pages tracked by the COVID-19 Wikiproject.')
+    parser.add_argument('-o', '--output_folder', help='Where to save output', default="../resources/", type=str)
+    parser.add_argument('-L', '--logging_level', help='Logging level. Options are debug, info, warning, error, critical. Default: info.', default='info'), 
+    parser.add_argument('-W', '--logging_destination', help='Logging destination.', default='../logs/') 
+    args = parser.parse_args()
+
+    return(args)
+
+
+def main():
+
+    args = parse_args()
+
+    outputPath = args.output_folder
+
+    #handle -W
+    today = datetime.datetime.today().strftime('%Y%m%d')
+    dest = args.logging_destination
+    logHome = f"{dest}scraping{today}"
+
+    #handle -L
+    loglevel = args.logging_level
+    if loglevel == 'debug':
+        logging.basicConfig(filename=logHome, filemode='a', level=logging.DEBUG)
+    elif loglevel == 'info':
+        logging.basicConfig(filename=logHome, filemode='a', level=logging.INFO)
+    elif loglevel == 'warning':
+        logging.basicConfig(filename=logHome, filemode='a', level=logging.WARNING)
+    elif loglevel == 'error':
+        logging.basicConfig(filename=logHome, filemode='a', level=logging.ERROR)
+    elif loglevel == 'critical':
+        logging.basicConfig(filename=logHome, filemode='a', level=logging.CRITICAL)
+    else:
+        print("Choose a valid log level: debug, info, warning, error, or critical")
+        exit
+
+
+    outputFile = f"{outputPath}articles.txt"
+    logging.debug(f"Starting scrape at {datetime.datetime.now()} and destructively outputting article list to {outputFile}.")
+    #1 How many hits to the fcgi?
+
+    #make a session
+
+    session = requests.Session()
+
+    originalURL = "https://tools.wmflabs.org/enwp10/cgi-bin/list2.fcgi?run=yes&projecta=COVID-19&namespace=&pagename=&quality=&importance=&score=&limit=1000&offset=1&sorta=Importance&sortb=Quality"
+    headURL = "https://tools.wmflabs.org/enwp10/cgi-bin/list2.fcgi?run=yes&projecta=COVID-19&namespace=&pagename=&quality=&importance=&score=&limit=1000&offset=" 
+    tailURL = "&sorta=Importance&sortb=Quality" #head + offset + tail = original when offset = 1
+
+    # find out how many results we have
+    response = session.get(originalURL)
+
+    soup = BeautifulSoup(response.text, features="html.parser")
+    nodes = soup.find_all('div', class_="navbox")
+    rx = re.compile("Total results:\D*(\d+)") 
+    m = rx.search(nodes[0].get_text())
+    #print(nodes[0].get_text())
+    numResults = int(m.group(1))
+
+    logging.debug(f"fcgi returned {numResults}")
+    rounds = math.ceil(numResults/1000) 
+
+    #2 Fetch and parse down to just the article names
+    articleNames = []
+
+    for i in range(1, rounds+1):
+        offset = (i - 1)*1000 + 1 #offset is 1, then 1001, then 2001 
+        url = f"{headURL}{offset}{tailURL}"
+        response = session.get(url)
+        soup = BeautifulSoup(response.text, features="html.parser") #make fresh soup
+        article_rows = soup.find_all('tr', class_="list-odd") #just the odds first
+        for row in article_rows:
+            a = row.find('a')
+            articleNames.append(a.get_text())
+        article_rows = soup.find_all('tr', class_="list-even") #now the events
+        for row in article_rows:
+            a = row.find('a')
+            articleNames.append(a.get_text())
+
+    #3 Saves the list to a file
+
+    with open(outputFile, 'w') as f:
+        f.write("Article\n")
+        f.write('\n'.join(articleNames)+'\n')
+    logging.debug(f"Finished scrape and made a new article file at {datetime.datetime.now()}")
+
+
+if __name__ == "__main__":
+
+    main()
+