def __init__(self, origin, destination, date=None, transit_mode_type=None, itinerary_index=0):
Itinerary.__init__(self, origin, destination, date, transit_mode_type, itinerary_index)
self.transport_mode = "walking"
url_request = Walking.__URL_API_DIRECTION
url_request += "&origin=" + str(self.origin.lat) + "," + str(self.origin.lng)
url_request += "&destination=" + str(self.destination.lat) + "," + str(self.destination.lng)
r = requests.get(url_request)
if r.status_code != 200:
raise BadRequest(r.status_code)
else:
raw_data = r.json()
if raw_data['status'] == "OVER_QUERY_LIMIT":
raise QueryLimit("Can't retieve any data from API (Walking)")
else:
# on récupère les informations concernant les différentes étapes
steps = raw_data['routes'][self.itinerary_index]['legs'][0]['steps']
self.total_duration = raw_data['routes'][self.itinerary_index]['legs'][0]['duration']['value']
self.total_polyline = [raw_data['routes'][self.itinerary_index]['overview_polyline']['points']]
self.walking_distance = 0
self.walking_duration = 0
self.information_legs = [] # Notre information_legs liste stockant nos étapes de trajet
# Parcours des étapes trouvées de notre trajet pour remplir
# notre liste de stockage self.information_legs
for step_number, step in enumerate(steps):
self.information_legs.append({})
self.information_legs[step_number]['transport_mode'] = step['travel_mode']
self.information_legs[step_number]['interim_start'] = Place(lat=step['start_location']['lat'],
lng=step['start_location']['lng'])
self.information_legs[step_number]['interim_destination'] = Place(lat=step['end_location']['lat'],
lng=step['end_location']['lng'])
self.information_legs[step_number]['distance'] = step['distance']['value']
self.information_legs[step_number]['duration'] = step['duration']['value']
self.information_legs[step_number]['instructions'] = step['html_instructions']
self.walking_distance += step['distance']['value']
self.walking_duration += step['duration']['value']
def __init__(self,
origin,
destination,
date=None,
transit_mode_type=None,
itinerary_index=0):
Itinerary.__init__(self, origin, destination, date, transit_mode_type,
itinerary_index)
self.transport_mode = "velib"
#prix velib de base - beaucoup de segmentation clients pour les tarifs...
self.price = "For 1,70€, the 1 day ticket gives you access to Velib' for 24h with the first 30min free of charge. Additional fares apply afterwards."
# Station velib d'origine
stop = True
search_size = 1
while stop:
parameters = Velib.__PARAMETERS + "&geofilter.distance=" + "%2C".join(
[
str(self.origin.lat),
str(self.origin.lng),
str(search_size * 100)
])
r = requests.get(Velib.__URL_VELIB, parameters)
if r.status_code != 200:
raise BadRequest(r.status_code)
else:
raw_data = r.json()
search_size += 1
stations_origin = []
possible_stations = raw_data['records']
for possible_station in possible_stations:
available_bike = possible_station['fields'][
'available_bikes']
if available_bike == 0:
pass
else:
stop = False
stations_origin.append({})
stations_origin[-1]['station_address'] = Place(
address=possible_station['fields']['address'],
lat=possible_station['fields']['position'][0],
lng=possible_station['fields']['position'][1])
stations_origin[-1]['nb_bike'] = available_bike
fastest_path_origin = Walking(origin,
stations_origin[0]['station_address'],
date=self.date)
for station in stations_origin:
walk = Walking(origin, station['station_address'], date=self.date)
if walk.total_duration < fastest_path_origin.total_duration:
fastest_path_origin = walk
# station velib à l'arrivée
stop = True
search_size = 1
while stop:
parameters = Velib.__PARAMETERS + "&geofilter.distance=" + "%2C".join(
[
str(self.destination.lat),
str(self.destination.lng),
str(search_size * 1000)
])
r = requests.get(Velib.__URL_VELIB, parameters)
if r.status_code != 200:
raise BadRequest(r.status_code)
else:
raw_data = r.json()
search_size += 1
stations_destination = []
possible_stations = raw_data['records']
for possible_station in possible_stations:
empty_slots = possible_station['fields'][
'available_bike_stands']
if empty_slots == 0:
pass
else:
stop = False
stations_destination.append({})
stations_destination[-1]['station_address'] = Place(
address=possible_station['fields']['address'],
lat=possible_station['fields']['position'][0],
lng=possible_station['fields']['position'][1])
stations_destination[-1]['empty_slots'] = empty_slots
fastest_path_destination = Walking(
stations_destination[0]['station_address'], destination)
for station in stations_destination:
walk = Walking(station['station_address'], destination)
if walk.total_duration < fastest_path_destination.total_duration:
fastest_path_destination = walk
# trajet en velib
start_date_velib = self.date + timedelta(
0, fastest_path_origin.total_duration + Velib.__COMMUTING_DURATION)
velib = Bicycling(fastest_path_origin.destination,
fastest_path_destination.origin,
date=start_date_velib)
# Prise en compte du temps pour la dernière étape (station d'arrivée velib à destination)
start_date_last_leg = start_date_velib + timedelta(
0, velib.total_duration + Velib.__COMMUTING_DURATION)
fastest_path_destination = Walking(fastest_path_destination.origin,
self.destination,
date=start_date_last_leg)
# Itineraire total = fastest_path_origin + velib + fastest_path_destination
self.total_duration = fastest_path_origin.total_duration \
+ velib.total_duration \
+ fastest_path_destination.total_duration
self.walking_duration = fastest_path_origin.walking_duration \
+ velib.walking_duration \
+ fastest_path_destination.walking_duration
self.walking_distance = fastest_path_origin.walking_distance \
+ velib.walking_distance \
+ fastest_path_destination.walking_distance
self.transit_duration = fastest_path_origin.transit_duration \
+ velib.transit_duration \
+ fastest_path_destination.transit_duration
self.velib_duration = velib.bicycling_duration
self.velib_distance = velib.bicycling_distance
self.total_polyline = fastest_path_origin.total_polyline + velib.total_polyline \
+ fastest_path_destination.total_polyline
self.information_legs = fastest_path_origin.information_legs \
+ velib.information_legs \
+ fastest_path_destination.information_legs
def __init__(self, origin, destination, date=None, transit_mode_type=None, itinerary_index=0):
Itinerary.__init__(self, origin, destination, date, transit_mode_type, itinerary_index)
self.transport_mode = "autolib"
#Prix indiqué sur le site autolib, indicatif
self.price = "For 10€/month you have access to a car 24/7, and the rent available at the best price. +0,23€/ minute. Head to the Autolib website for more information."
# Station autolib d'origine
stop = True
search_size = 1
while stop:
parameters = Autolib.__PARAMETERS + "&geofilter.distance=" + "%2C".join(
[str(self.origin.lat), str(self.origin.lng), str(search_size * 100)])
r = requests.get(Autolib.__URL_AUTOLIB, parameters)
if r.status_code != 200:
raise BadRequest(r.status_code)
else:
raw_data = r.json()
search_size += 1
stations_origin = []
possible_stations = raw_data['records']
for possible_station in possible_stations:
available_car = possible_station['fields']['cars']
if available_car == 0:
pass
else:
stop = False
stations_origin.append({})
stations_origin[-1]['station_address'] = Place(address=(possible_station['fields']['address']
+ " "
+ possible_station['fields'][
'postal_code']
+ " Paris"),
lat=possible_station['fields']['geo_point'][0],
lng=possible_station['fields']['geo_point'][1])
stations_origin[-1]['nb_auto'] = available_car
fastest_path_origin = Walking(self.origin, stations_origin[0]['station_address'], date=self.date)
for station in stations_origin:
walk = Walking(self.origin, station['station_address'], date=self.date)
if walk.total_duration < fastest_path_origin.total_duration:
fastest_path_origin = walk
# station autolib à l'arrivée
stop = True
search_size = 1
while stop:
parameters = Autolib.__PARAMETERS + "&geofilter.distance=" + "%2C".join(
[str(self.destination.lat), str(self.destination.lng), str(search_size * 100)])
r = requests.get(Autolib.__URL_AUTOLIB, parameters)
if r.status_code != 200:
raise BadRequest(r.status_code)
else:
raw_data = r.json()
search_size += 1
stations_destination = []
possible_stations = raw_data['records']
for possible_station in possible_stations:
empty_slots = possible_station['fields']['slots'] - possible_station['fields']['cars']
if empty_slots == 0:
pass
else:
stop = False
stations_destination.append({})
stations_destination[-1]['station_address'] = Place(
address=(possible_station['fields']['address']
+ " "
+ possible_station['fields'][
'postal_code']
+ " Paris"),
lat=possible_station['fields']['geo_point'][0],
lng=possible_station['fields']['geo_point'][1])
stations_destination[-1]['empty_slots'] = empty_slots
fastest_path_destination = Walking(stations_destination[0]['station_address'], self.destination)
for station in stations_destination:
walk = Walking(station['station_address'], self.destination)
if walk.total_duration < fastest_path_destination.total_duration:
fastest_path_destination = walk
# trajet en autolib
start_date_autolib = self.date + timedelta(0, fastest_path_origin.total_duration + Autolib.__COMMUTING_DURATION)
autolib = Driving(fastest_path_origin.destination, fastest_path_destination.origin, date=start_date_autolib)
# Prise en compte du temps pour la dernière étape (station d'arrivée Autolib à destination)
start_date_last_leg = start_date_autolib + timedelta(0, autolib.total_duration + Autolib.__COMMUTING_DURATION)
fastest_path_destination = Walking(fastest_path_destination.origin, self.destination, date=start_date_last_leg)
# Itineraire total = fastest_path_origin + autolib + fastest_path_destination
self.total_duration = fastest_path_origin.total_duration \
+ autolib.total_duration \
+ fastest_path_destination.total_duration
self.walking_duration = fastest_path_origin.walking_duration \
+ autolib.walking_duration \
+ fastest_path_destination.walking_duration
self.walking_distance = fastest_path_origin.walking_distance \
+ autolib.walking_distance \
+ fastest_path_destination.walking_distance
self.transit_duration = fastest_path_origin.transit_duration \
+ autolib.transit_duration \
+ fastest_path_destination.transit_duration
self.driving_duration = autolib.driving_duration
self.driving_distance = autolib.driving_distance
self.total_polyline = fastest_path_origin.total_polyline \
+ autolib.total_polyline \
+ fastest_path_destination.total_polyline
self.information_legs = fastest_path_origin.information_legs \
+ autolib.information_legs \
+ fastest_path_destination.information_legs
def __init__(self,
origin,
destination,
date=None,
transit_mode_type=None,
itinerary_index=0):
Itinerary.__init__(self, origin, destination, date, transit_mode_type,
itinerary_index)
self.transport_mode = "transit"
if self.transit_mode_type is None:
self.transit_mode_type = "bus|rail"
url_request = Transit.__URL_API_DIRECTION_TRANSIT
url_request += "&origin=" + str(self.origin.lat) + "," + str(
self.origin.lng)
url_request += "&destination=" + str(self.destination.lat) + "," + str(
self.destination.lng)
url_request += "&transit_mode=" + str(self.transit_mode_type)
r = requests.get(url_request)
if r.status_code != 200:
raise BadRequest(r.status_code)
else:
raw_data = r.json()
if raw_data['status'] == "OVER_QUERY_LIMIT":
raise QueryLimit("Can't retieve any data from API (Transit)")
else:
steps = raw_data['routes'][
self.itinerary_index]['legs'][0]['steps']
self.total_duration = raw_data['routes'][
self.itinerary_index]['legs'][0]['duration']['value']
self.total_polyline = [
raw_data['routes'][self.itinerary_index]
['overview_polyline']['points']
]
self.walking_distance = 0
self.walking_duration = 0
self.transit_duration = 0
self.information_legs = []
# Parcours des étapes trouvées de notre trajet
# pour remplir notre liste de stockage self.information_legs
for step_number, step in enumerate(steps):
self.information_legs.append({})
self.information_legs[step_number][
'transport_mode'] = step['travel_mode']
self.information_legs[step_number]['distance'] = step[
'distance']['value']
self.information_legs[step_number][
'interim_destination'] = Place(
lat=step['end_location']['lat'],
lng=step['end_location']['lng'])
self.information_legs[step_number]['duration'] = step[
'duration']['value']
self.information_legs[step_number][
'interim_start'] = Place(
lat=step['start_location']['lat'],
lng=step['start_location']['lng'])
self.information_legs[step_number]['instructions'] = step[
'html_instructions']
if self.information_legs[step_number][
'transport_mode'] == "TRANSIT":
self.information_legs[step_number][
'arrival_stop'] = step['transit_details'][
'arrival_stop']['name']
self.information_legs[step_number]['departure_stop'] = \
step['transit_details']['departure_stop']['name']
self.information_legs[step_number][
'transit_mode'] = step['transit_details']['line'][
'vehicle']['type']
if 'short_name' in step['transit_details'][
'line'].keys():
self.information_legs[step_number]['line'] = step[
'transit_details']['line']['short_name']
else:
self.information_legs[step_number]['line'] = step[
'transit_details']['line']['name']
self.information_legs[step_number][
'number_stops'] = step['transit_details'][
'num_stops']
self.information_legs[step_number]['duration'] = step[
'duration']['value']
self.transit_duration += step['duration']['value']
if self.information_legs[step_number][
'transport_mode'] == "WALKING":
self.walking_distance += step['distance']['value']
self.walking_duration += step['duration']['value']
def __init__(self,
origin,
destination,
date=None,
uber_type=None,
transit_mode_type=None,
itinerary_index=0):
Itinerary.__init__(self, origin, destination, date, transit_mode_type,
itinerary_index)
self.transport_mode = "uber"
if uber_type in Uber.__UBER_MODE_TYPES:
self._uber_type = uber_type
elif isinstance(uber_type, str):
raise ValueError(
"The uber type must be a part of the possible uber vehicle options"
)
elif uber_type is None:
self._uber_type = "uberx"
else:
raise TypeError(
"The uber type must be a chain of characters among the possible uber vehicle options available."
)
self._options_uber = []
self._uber_wait_duration = 0
self._uber_travel_duration = 0
self._available_options = []
# Code Spécifique à l'API UBER
headers = {
'Authorization': 'Token 1QTK0iskAoX7vFZ3Ir1j_NdqnADK7zXAF4GcaRLe',
'Accept-Language': 'en_US',
"Content-Type": "application/json"
}
#PRICE API from Uber to get Price information
url_request_price = Uber.__URL_UBER_PRICE
url_request_price += 'start_latitude=' + str(
self.origin.lat) + '&start_longitude=' + str(
self.origin.lng) + '&end_latitude=' + str(
self.destination.lat) + '&end_longitude=' + str(
self.destination.lng)
r_price = requests.get(url=url_request_price, headers=headers)
#TIME API from Uber to get Time information
url_request_time = Uber.__URL_UBER_TIME
url_request_time += 'start_latitude=' + str(
self.origin.lat) + '&start_longitude=' + str(
self.origin.lng) + '&end_latitude=' + str(
self.destination.lat) + '&end_longitude=' + str(
self.destination.lng)
r_time = requests.get(url=url_request_time, headers=headers)
if r_price.status_code != 200 or r_time.status_code != 200:
raise BadRequest()
else:
raw_data_price = r_price.json()
raw_data_time = r_time.json()
options_price = raw_data_price['prices']
options_time = raw_data_time['times']
# les estimations temps et prix ne sont pas toujours identiques.
# On veut prendre l'intersection des deux.
# D'où la disjonction de cas ...
if len(options_price) <= len(options_time):
for uber_option, option in enumerate(options_price):
self._options_uber.append({})
self._options_uber[-1]['uber_name'] = str(
option['display_name']).lower()
self._available_options.append(
str(option['display_name']).lower())
self._options_uber[-1]['price'] = option['estimate']
self._options_uber[-1]['distance'] = option['distance']
self._options_uber[-1]['duration'] = option['duration']
if options_time[uber_option]['display_name'] == option[
'display_name']:
self._options_uber[-1]['wait_time'] = options_time[
uber_option]['estimate']
if self._options_uber[-1]['uber_name'] == self._uber_type:
self.price = self._options_uber[uber_option]['price']
self._uber_wait_duration = self._options_uber[
uber_option]['wait_time']
self._uber_travel_duration = self._options_uber[
uber_option]['duration']
self.total_duration = self._uber_wait_duration + self._uber_travel_duration
self.driving_distance = int(
self._options_uber[uber_option]['distance'] *
1610) # l'API renvoie des miles et non des km
else:
for uber_option, option in enumerate(options_time):
self._options_uber.append({})
self._options_uber[-1]['uber_name'] = str(
option['display_name']).lower()
self._available_options.append(
str(option['display_name']).lower())
self._options_uber[-1]['wait_time'] = option['estimate']
if options_price[uber_option]['display_name'] == option[
'display_name']:
self._options_uber[-1]['price'] = options_price[
uber_option]['estimate']
self._options_uber[-1]['distance'] = options_price[
uber_option]['distance']
self._options_uber[-1]['duration'] = options_price[
uber_option]['duration']
if self._options_uber[-1]['uber_name'] == self._uber_type:
self.price = self._options_uber[uber_option]['price']
self._uber_wait_duration = self._options_uber[
uber_option]['wait_time']
self._uber_travel_duration = self._options_uber[
uber_option]['duration']
self.total_duration = self._uber_wait_duration + self._uber_travel_duration
self.driving_distance = int(
float(self._options_uber[uber_option]['distance'])
* 1610)
# l'API renvoie des miles et non des km
self.total_polyline = Driving(origin, destination, date,
transit_mode_type,
itinerary_index).total_polyline
if self._uber_type not in self._available_options:
TypeError(
"The Uber option you selected isn't available. Please select another option or try again later."
)