def test_gdst_data_no_properties(self, mocked_post):
ciq_client = CapIQClient("username", "password")
return_value = ciq_client.gdst(["TRIP"], ["IQ_CLOSEPRICE"],
["close_price"],
start_date="12/19/1980",
end_date="12/19/2000",
frequency="M")
self.assertEqual(return_value, {'TRIP:': {'close_price': [['46.80']]}})
# continue
# for ii in range(0,len(i['Headers'])):
# print i['Headers'][ii],':',i['Rows'][ii]
#print(client.gdsg(['WMT:'],['BASIC_SECURITY_DESCRIPTION'], ["description"]))
# print client.gdshe(['nyse:ibm'],['IQ_QUICK_COMP'],properties=[{'StartRank':1,'EndRank':5}])
#print(client.gdshv(['^ftse'],['IQ_CONSTITUENTS'],["constituents"], properties=[{'StartRank':1,'EndRank':5}]))
metrics_map = {
'name': 'IQ_COMPANY_NAME',
'industry': 'IQ_INDUSTRY',
'sector': 'IQ_INDUSTRY_SECTOR',
'profile': 'IQ_BUSINESS_DESCRIPTION',
'company_url': 'IQ_COMPANY_WEBSITE'
}
query = []
return_keys = []
for k, m in metrics_map.items():
query.append(m)
return_keys.append(k)
#data = client.gdsp(['ibm:', 'aapl:'], query, return_keys, "")
#data = client.gdsp(['aapl:'], query, return_keys, "")
#print(data)
# print client.gdsp(['ibm:'],['IQ_COMPANY_NAME'])
# print client.gdsg(['ibm:nyse'],['BASIC_SECURITY_DESCRIPTION'])
print(client.gdst(['IBM:'], ['TRACE_TRADE_30D_PRICE_VOLATILITY'], ["trace_volitility"], start_date="08/18/2015",
properties=[{'frequency': "Daily", 'currencyId': "USD", 'currencyConversionModeId': "HISTORICAL"}]))
def test_gdst_data(self, mocked_post):
ciq_client = CapIQClient("username", "password")
return_value = ciq_client.gdst(["TRIP"], ["IQ_CLOSEPRICE"],
["close_price"],
properties=[{}])
self.assertEqual(return_value, {'TRIP:': {'close_price': [['46.80']]}})