def generate_time_tables(self):
"""
Create all time tables for time dependant aspects of the graph.
"""
from dbanalysis.classes import weather_getter
self.total_routes = 0
self.failed_routes = 0
# grab a five day weather forecast
w_getter = weather_getter.weather_getter()
weather = w_getter.get_weather()
import datetime
#get current datetime
dt = datetime.datetime.now()
count = 0
# for every variation in every route,
for route in self.routes:
# some routes are empty, ignore those.
if len(self.routes[route]) < 1:
continue
times = self.time_tabler.get_dep_times_N_days(route,
dt,
number_days=7)
# gets a timetable describing every scheduled departure time for the first stop on that route
# over the next five days
for variation in times:
#if not self.selector.get_unavailable(route,int(variation)):
try:
X = times[variation]
#merge with weather data to add weather features.
X['matrix'] = pd.merge(
X['matrix'],
weather[['day', 'hour', 'rain', 'temp']],
on=['day', 'hour'])
#X['matrix']['rain']=0.08
#X['matrix']['temp']=10.0
#X['matrix']['vappr']=10.0
#run this data frame on the route described in the pattern
self.run_route(X['matrix'], X['pattern'])
#unfortunately, the routes in 'routes' and the routes in the time tabler differ slightly
#the time table routes include a few variation we haven't managed to model.
#these will break.
#Unfortuntely, there wasn't time to properly address this problem.
except Exception as e:
print(str(e))
f = open('failedrouteslog.log', 'a')
f.write(route + ' ' + str(e))
f.close()
def generate_time_tables(self):
"""
Create all time tables for time dependant aspects of the graph.
"""
from dbanalysis.classes import weather_getter
self.total_routes = 0
self.failed_routes = 0
w_getter = weather_getter.weather_getter()
weather = w_getter.get_weather()
import datetime
dt = datetime.datetime.now()
count = 0
for route in self.routes:
if len(route) < 1:
continue
times = self.time_tabler.get_dep_times_five_days(route,dt)
for variation in times:
self.total_routes +=1
#if not self.selector.get_unavailable(route,int(variation)):
try:
count +=1
print(count,route+'_'+str(variation))
X=times[variation]
# merge with weather data to add weather features.
#X['matrix'] = pd.merge(X['matrix'],weather[['day','hour','rain','temp','vappr']],on = ['day','hour'])
X['matrix']['rain']=0.08
X['matrix']['temp']=10.0
X['matrix']['vappr']=10.0
self.run_route(X['matrix'],X['pattern'])
try:
pass
except Exception as e:
print(e)
except Exception as e:
print(e)
self.failed_routes +=1
try:
pass
except Exception as e:
print(e,'broken timetabler',route)
pass
#from . import weather_getter from dbanalysis.classes.weather_getter import weather_getter weather=weather_getter() df=weather.get_weather() print(df)