def multiStockAll(codes):
"""
function takes a list of codes and provides information via pyql
"""
log.info("mining list [ %s ] for all information via pyql" % " : ".join(codes))
return pyql.lookup(codes)
def getDailyData():
# list of lists each list contains codes
companyCodesPerIndustry = getCompanyCodes()
for companies in companyCodesPerIndustry:
companyDataList = pyql.lookup(companies)
try:
for companyData in companyDataList:
insertData(companyData)
except:
log.error("no compainies in %s" % str(companies))
def web_scraper():
em_data = pos_query()
symbol = []
em_vol = []
for k in em_data:
new_d = dict(k)
symbol.append(new_d['Symbol'])
em_vol.append(new_d['EM_Volume'])
sym_vol = [int(item['Volume']) for item in pyql.lookup(symbol[:400]) if item['Volume'] is not None]
mkt_shr = [round(x / y * 100, 2) for x, y in zip(em_vol[:400], sym_vol) if x is not 0 or y is not 0]
avg_vol = [str(item['AverageDailyVolume']) for item in
pyql.lookup(symbol[:400])]
em_vol = [vol for vol in em_vol]
ms = map(float, mkt_shr)
data = {'Symbol': symbol,
'Avg_Volume(3m)': avg_vol,
'Volume': sym_vol,
'EM_Volume': em_vol,
'Market_Share': ms}
headings = ['Symbol', 'Avg_Volume(3m)', 'Volume',
'EM_Volume', 'Market_Share']
columns = [data[heading] for heading in headings]
max_len = len(max(columns, key=len))
for col in columns:
col += [None] * (max_len - len(col))
rows = [[col[i] for col in columns] for i in range(max_len)]
data1 = dict(rows=rows, headings=headings)
print data1
return data1
import pyql
import ystockquote
print('Using pyql')
print('----------------------------------')
#list = ['FFIV', 'MSFT', 'GOOG']
#print pyql.lookup(list)
list = ['GOOG']
json = pyql.lookup(list)
print json
print('Using ystockquote')
print('----------------------------------')
print ystockquote.get_all('GOOG')
