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