def test_stocks():
# READ IN ALL SP500 and NASDAQ INFO
nasdaq = READ("nasdaq.txt", ".")
sp100 = READ("sp500.txt")
for stock in nasdaq.splitlines():
print("NASDAQ SEARCH: " + stock)
url = wikipedia.wiki_search(stock)
webpage = Website(url)
webpage.set_directory("./wikipedia/")
html = webpage.get_html()
xml = webpage.get_xml()
websites.append(webpage)
for stock in sp100.splitlines():
print("EVALUATING STOCK SP500 " + stock)
wikipedia.wiki_search(stock)
def test_city():
cities = []
for city in URL_CITY_ARRAY:
location = Website(city)
location.set_directory('./wikipedia/')
html = location.get_html()
cities.append(location)
"""
cities = []
fact_book = []
#for country in CIA_FACT_BOOK:
# CIA.cia_indexer(Website(country))
for city in URL_CITY_ARRAY:
cities.append(Website(city))
for city in cities:
wikipedia.wiki_study_city(city)
"""
return
