def setUp(self):
self.ticker = "GNG"
self.type = "balance"
data_dir = "..\\testData\\"
store = Storage(data_dir)
self.assets = pandas.read_pickle(data_dir + "GNG\\GNGassets.pkl")
self.liabilities = pandas.read_pickle(data_dir +
"GNG\\GNGliabilities.pkl")
self.scraper = WSJscraper(store)
def retrieveOverviewData(storage_dir, headings = None):
store = Storage(storage_dir)
xls = XLSio(store)
scraper = WSJscraper(store)
xls.loadWorkbook("ASXListedCompanies")
tickers = xls.getTickers()
new_data = {}
for ticker in tickers:
scraper.load_overview(ticker)
try:
new_data[ticker] = scraper.keyStockData()
except Exception:
print("Problem with: " + ticker)
xls.updateTable(new_data)
xls.saveAs("StockSummary")
def setUp(self):
self.ticker = "SRV"
self.type = "overview"
self.data_dir = "..\\testData\\"
self.store = Storage(self.data_dir)
self.expected = {
"P/E Ratio (TTM)": 21.68,
"EPS (TTM)": 0.34,
"Market Cap": 698.87,
"Shares Outstanding": 98.43,
"Public Float": 43.03,
"Yield": 3.01,
"Latest Dividend": 0.11,
"Ex-Dividend Date": "09/07/15"
}
self.scraper = WSJscraper(self.store)
self.scraper.overview = BeautifulSoup(
open(self.store.html(self.ticker, self.type)), "lxml")
def setUp(self):
self.ticker = "SRV"
self.type = "overview"
self.data_dir = "..\\testData\\"
self.store = Storage(self.data_dir)
self.scraper = WSJscraper(self.store)