def get(self):
self.response.headers['Content-Type'] = 'text/plain'
"""
for i in np.arange(250,6001,250):
list_of_entities = Forecast.query(ndb.AND(Forecast.rank >= i-250,Forecast.rank < i))#Forecast.rank < 6000)
list_of_keys = ndb.put_multi(list_of_entities)
#list_of_entities = ndb.get_multi(list_of_keys)
ndb.delete_multi(list_of_keys)
list_of_entities = StockList.query(ndb.AND(StockList.rank >= i-250,StockList.rank < i))#Forecast.rank < 6000)
list_of_keys = ndb.put_multi(list_of_entities)
#list_of_entities = ndb.get_multi(list_of_keys)
ndb.delete_multi(list_of_keys)
"""
for i in np.arange(1,6001,500):
list_of_keys = Forecast.query().fetch(500, keys_only=True)
#list_of_keys = ndb.put_multi(list_of_entities)
#list_of_entities = ndb.get_multi(list_of_keys)
ndb.delete_multi(list_of_keys)
list_of_keys = StockList.query().fetch(25, keys_only=True)
#list_of_keys = ndb.put_multi(list_of_entities)
#list_of_entities = ndb.get_multi(list_of_keys)
ndb.delete_multi(list_of_keys)
self.response.out.write('All Forecasts Deleted')
self.redirect('./')
def get(self):
self.response.headers['Content-Type'] = 'text/plain'
"""
for i in np.arange(250,6001,250):
list_of_entities = Forecast.query(ndb.AND(Forecast.rank >= i-250,Forecast.rank < i))#Forecast.rank < 6000)
list_of_keys = ndb.put_multi(list_of_entities)
#list_of_entities = ndb.get_multi(list_of_keys)
ndb.delete_multi(list_of_keys)
list_of_entities = StockList.query(ndb.AND(StockList.rank >= i-250,StockList.rank < i))#Forecast.rank < 6000)
list_of_keys = ndb.put_multi(list_of_entities)
#list_of_entities = ndb.get_multi(list_of_keys)
ndb.delete_multi(list_of_keys)
"""
for i in np.arange(1, 6001, 500):
list_of_keys = Forecast.query().fetch(500, keys_only=True)
#list_of_keys = ndb.put_multi(list_of_entities)
#list_of_entities = ndb.get_multi(list_of_keys)
ndb.delete_multi(list_of_keys)
list_of_keys = StockList.query().fetch(25, keys_only=True)
#list_of_keys = ndb.put_multi(list_of_entities)
#list_of_entities = ndb.get_multi(list_of_keys)
ndb.delete_multi(list_of_keys)
self.response.out.write('All Forecasts Deleted')
self.redirect('./')
def get(self):
#Get total nubmer of predictions
#global_stat = stats.GlobalStat.query().get()
#forecastCount = global_stat.count
#Get the time, make a string of format:
#Tue, Jan 6, 2014, 12:00AM EST - US MARKETS CLOSED
now = datetime.now(tz=timezone('US/Eastern'))
#Construct the EST time for the top of page
if ((now.time() >= time(9, 30) and now.time() <= time(16, 30))
and (now.weekday() <= 4)):
timeString = "{0:s} EST - US Markets Are Open".format(
now.strftime("%a, %b %d %Y, %I:%M%p"))
else:
timeString = "{0:s} EST - US Markets Are Closed".format(
now.strftime("%a, %b %d %Y, %I:%M%p"))
#
stockList = StockList.query(StockList.rank.IN([1]))
#Init items using info from forecast, just use the first item
dayOfForecast = now.strftime("%A, %B %d %Y")
dof = now
for forecast in stockList:
dayOfForecast = forecast.date.strftime("%A, %B %d %Y")
dof = forecast.date
break
if users.get_current_user():
url = users.create_logout_url(self.request.uri)
url_linktext = 'Logout'
else:
url = users.create_login_url(self.request.uri)
url_linktext = 'Sign Up for Updates'
template_values = {
#'stock_list':stockList,
#'forecast_data':forecastPlotData,
#'validation_data':validationPlotData,
#'computed_values':computedValued,
#'forecast_count':forecastCount,
'timeStr': timeString,
'dayOfForecast': dayOfForecast,
'url': url,
'url_linktext': url_linktext,
}
template = JINJA_ENVIRONMENT.get_template('markets.html')
self.response.write(template.render(template_values))
def get(self):
#Get total nubmer of predictions
#global_stat = stats.GlobalStat.query().get()
#forecastCount = global_stat.count
#Get the time, make a string of format:
#Tue, Jan 6, 2014, 12:00AM EST - US MARKETS CLOSED
now = datetime.now(tz=timezone('US/Eastern'))
#Construct the EST time for the top of page
if( (now.time() >= time(9,30) and now.time() <= time(16,30)) and (now.weekday() <= 4 ) ):
timeString = "{0:s} EST - US Markets Are Open".format(now.strftime("%a, %b %d %Y, %I:%M%p"))
else:
timeString = "{0:s} EST - US Markets Are Closed".format(now.strftime("%a, %b %d %Y, %I:%M%p"))
#
stockList = StockList.query(StockList.rank.IN([1]))
#Init items using info from forecast, just use the first item
dayOfForecast = now.strftime("%A, %B %d %Y")
dof = now
for forecast in stockList:
dayOfForecast = forecast.date.strftime("%A, %B %d %Y")
dof = forecast.date
break
if users.get_current_user():
url = users.create_logout_url(self.request.uri)
url_linktext = 'Logout'
else:
url = users.create_login_url(self.request.uri)
url_linktext = 'Sign Up for Updates'
template_values = {
#'stock_list':stockList,
#'forecast_data':forecastPlotData,
#'validation_data':validationPlotData,
#'computed_values':computedValued,
#'forecast_count':forecastCount,
'timeStr':timeString,
'dayOfForecast':dayOfForecast,
'url': url,
'url_linktext': url_linktext,
}
template = JINJA_ENVIRONMENT.get_template('markets.html')
self.response.write(template.render(template_values))
def get(self):
#Get total nubmer of predictions
#global_stat = stats.GlobalStat.query().get()
#forecastCount = global_stat.count
#Get the time, make a string of format:
#Tue, Jan 6, 2014, 12:00AM EST - US MARKETS CLOSED
now = datetime.now(tz=timezone('US/Eastern'))
#Construct the EST time for the top of page
if( (now.time() >= time(9,30) and now.time() <= time(16,30)) and (now.weekday() <= 4 ) ):
timeString = "{0:s} EST - US Markets Are Open".format(now.strftime("%a, %b %d %Y, %I:%M%p"))
else:
timeString = "{0:s} EST - US Markets Are Closed".format(now.strftime("%a, %b %d %Y, %I:%M%p"))
#
stockList = StockList.query(StockList.rank.IN(list(np.arange(1,26))))
computedCloseValues = np.zeros((stockList.count(), 3), float)
#createa binary list of stock list vs user favorite list
user = users.get_current_user()
if user:
up = UserProfile.query(UserProfile.user_id == str(user.user_id()))
favBinary = []
for u in up:
for stock in stockList:
if stock.symbol in u.favorite_list:
favBinary.append(1)
else:
favBinary.append(0)
break
#case where user exists(like admin) but no profile yet
if stockList.count() != len(favBinary):
favBinary = np.zeros((stockList.count(),))
else:
favBinary = np.zeros((stockList.count(),))
#
i = 0
for stock in stockList:
computedCloseValues[i][0] = stock.forecastedPrice-stock.currentPrice
computedCloseValues[i][1] = (stock.forecastedPrice-stock.currentPrice)/abs(stock.currentPrice)*100.0
computedCloseValues[i][2] = favBinary[i]
i += 1
#Init items using info from forecast, just use the first item
dayOfForecast = now.strftime("%A, %B %d %Y")
dof = now
for stock in stockList:
dayOfForecast = stock.date.strftime("%A, %B %d %Y")
#dof = forecast.date
break
if users.get_current_user():
url = users.create_logout_url(self.request.uri)
url_linktext = 'Logout'
else:
url = users.create_login_url(self.request.uri)
url_linktext = 'Sign Up for Updates'
template_values = {
'stock_list':stockList,
'computed_values':computedCloseValues,
#'forecast_count':forecastCount,
'timeStr':timeString,
'dayOfForecast':dayOfForecast,
'url': url,
'url_linktext': url_linktext,
}
template = JINJA_ENVIRONMENT.get_template('index.html')
self.response.write(template.render(template_values))
def get(self):
#Get total nubmer of predictions
#global_stat = stats.GlobalStat.query().get()
#forecastCount = global_stat.count
#Get the time, make a string of format:
#Tue, Jan 6, 2014, 12:00AM EST - US MARKETS CLOSED
now = datetime.now(tz=timezone('US/Eastern'))
#Construct the EST time for the top of page
if ((now.time() >= time(9, 30) and now.time() <= time(16, 30))
and (now.weekday() <= 4)):
timeString = "{0:s} EST - US Markets Are Open".format(
now.strftime("%a, %b %d %Y, %I:%M%p"))
else:
timeString = "{0:s} EST - US Markets Are Closed".format(
now.strftime("%a, %b %d %Y, %I:%M%p"))
#
stockList = StockList.query(StockList.rank.IN(list(np.arange(1, 26))))
computedCloseValues = np.zeros((stockList.count(), 3), float)
#createa binary list of stock list vs user favorite list
user = users.get_current_user()
if user:
up = UserProfile.query(UserProfile.user_id == str(user.user_id()))
favBinary = []
for u in up:
for stock in stockList:
if stock.symbol in u.favorite_list:
favBinary.append(1)
else:
favBinary.append(0)
break
#case where user exists(like admin) but no profile yet
if stockList.count() != len(favBinary):
favBinary = np.zeros((stockList.count(), ))
else:
favBinary = np.zeros((stockList.count(), ))
#
i = 0
for stock in stockList:
computedCloseValues[i][
0] = stock.forecastedPrice - stock.currentPrice
computedCloseValues[i][1] = (stock.forecastedPrice -
stock.currentPrice) / abs(
stock.currentPrice) * 100.0
computedCloseValues[i][2] = favBinary[i]
i += 1
#Init items using info from forecast, just use the first item
dayOfForecast = now.strftime("%A, %B %d %Y")
dof = now
for stock in stockList:
dayOfForecast = stock.date.strftime("%A, %B %d %Y")
#dof = forecast.date
break
if users.get_current_user():
url = users.create_logout_url(self.request.uri)
url_linktext = 'Logout'
else:
url = users.create_login_url(self.request.uri)
url_linktext = 'Sign Up for Updates'
template_values = {
'stock_list': stockList,
'computed_values': computedCloseValues,
#'forecast_count':forecastCount,
'timeStr': timeString,
'dayOfForecast': dayOfForecast,
'url': url,
'url_linktext': url_linktext,
}
template = JINJA_ENVIRONMENT.get_template('index.html')
self.response.write(template.render(template_values))