def connectTo(self, connections, **kwargs):
''' Set up allowed data sources '''
tz = kwargs.get('timezone', self.tz)
log = kwargs.get('logger', None)
lvl = kwargs.get('lvl', 'debug')
if 'database' in connections:
db_name = kwargs.get('db_name', str(os.environ['QTRADEDB']))
self.db = QuantSQLite(db_name, timezone=tz, logger=log, lvl=lvl)
self._logger.info('Database location provided, Connected to %s' %
db_name)
self.connected['database'] = True
if 'remote' in connections:
self.remote = Fetcher(timezone=tz, logger=log, lvl=lvl)
self.connected['remote'] = True
if 'csv' in connections:
raise NotImplementedError()
if __name__ == '__main__':
# Configuration
assert len(sys.argv) == 2
if sys.argv[1] == 'twitter':
database = 'feeds.db'
script = 'twitterBuild.sql'
elif sys.argv[1] == 'stocks':
database = 'stocks.db'
script = 'stocksBuild.sql'
else:
raise NotImplementedError()
# Open or create the desired sqlite database
db = QuantSQLite(database)
# Test everything is alright
print db.execute('select sqlite_version()')
# Execute sql script
db.queryFromScript(script)
db.close()
if sys.argv[1] == 'stocks':
# getQuotes() method will fetch data that is not available in database and then store it
timestamp = pd.date_range(pd.datetime(2005, 1, 1, tzinfo=pytz.utc),
pd.datetime(2012, 11, 30, tzinfo=pytz.utc),
freq=pd.datetools.BDay())
tickers = ['starbucks', 'google', 'apple', 'altair']
fill_quotes(tickers, timestamp)
