epoch = datetime(1970, 1, 1)
dict_key = {
'1. open': 'DAILYOPEN:IBM',
'2. high': 'DAILYHIGH:IBM',
'3. low': 'DAILYLOW:IBM',
'4. close': 'DAILYCLOSE:IBM',
'5. adjusted close': 'DAILYADJCLOSE:IBM',
'6. volume': 'DAILYVOL:IBM',
'7. dividend amount': 'DAILYAMNT:IBM',
'8. split coefficient': 'DAILYSPLIT:IBM',
}
dict_price = {}
for date in data['Time Series (Daily)']:
for price_type in data['Time Series (Daily)'][date]:
price_data = data['Time Series (Daily)'][date][price_type]
add_price_data = (
dict_key[price_type],
int((datetime.strptime(str(date), dtFmt) - epoch).total_seconds() *
1000), price_data)
if price_type not in dict_price:
dict_price[price_type] = [add_price_data]
else:
dict_price[price_type].append(add_price_data)
rts.madd(list(dict_price['1. open']))
rts.madd(list(dict_price['2. high']))
rts.madd(list(dict_price['3. low']))
rts.madd(list(dict_price['4. close']))
newdt = datetime.utcfromtimestamp((datetime.strptime(str(rsiDateTime), dailydtFmt) - epoch).total_seconds())
##
## Creating a tuple of each time series entry.
## Converting regular string timestamp that was created above to integer.
##
eachIntradayPrice = ( 'DAILYRSI:GS'
, int((datetime.strptime(str(rsiDateTime), dailydtFmt) - epoch).total_seconds()*1000)
, indicatorList[0][x])
##
## Add each tuple to the list
##
RSIIndicatorList.append(eachIntradayPrice)
##
## Adding the list of tuples to Redis TimeSeries database using the MADD command
##
rts.madd(RSIIndicatorList)
##
## Intraday Stock Prices For Goldman Sachs Group
##
## Date for which intraday stock prices will be retrieved.
## Change it as you deem necessary
firstWkDate = datetime(2020, 11, 13)
intraDayPricesDF = get_historical_intraday("GS"
, firstWkDate
, output_format='pandas'
, token="<Your IEX API Key>")
dtFmt = '%Y-%m-%d %H:%M:%S'
epoch = datetime(1970, 1, 1)
intradayPriceList = []
*[[x.value, parse_time(x.time)] for x in temperature])
return temperature_time, temperature_value
#Initialize Redis Client
try:
#rts = Client(host=os.environ.get('REDIS_HOST'),port=os.environ.get('REDIS_PORT'))
rts = Client(host='localhost', port=6379)
except:
logging.warning('Could not connect to redis server')
key = 'Temperature'
# Create a key if it doesnt exists
try:
rts.create(key, retention_msecs=DAY)
except ResponseError as e:
s = str(e)
print(s)
pass
while (True):
try:
temperature_time, temperature_value = pull()
except ResponseError:
logging.warning('Failed to Pull data')
out = [(key, time, value)
for time, value in zip(temperature_time, temperature_value)]
t = rts.madd(out)
logging.warning('key inserted with last timestamp: {0}'.format(t[-1]))
sleep(60 * 2)