def get_ride_duration_and_price(self,
request_id,
starting_lat,
starting_long,
ending_lat,
ending_long,
product=None):
# /v1/estimates/price
request_url = self.BASE_URL + "estimates/price?start_latitude={0}&start_longitude={1}&end_latitude={2}&end_longitude={3}"\
.format(starting_lat, starting_long, ending_lat, ending_long)
response_data = requests.get(request_url,
headers={
"Authorization":
"Token {0}".format(self.server_token)
}).content
duration_ests = [
UberDurationEstimate(request_id=request_id,
starting_lat=starting_lat,
starting_long=starting_long,
ending_lat=ending_lat,
ending_long=ending_long,
**dur_est)
for dur_est in json.loads(response_data).get("prices")
]
if product:
return [
dur_est for dur_est in duration_ests if dur_est.type == product
]
return duration_ests
for row in uber_jobs:
string_date = row[0:16]
print string_date
string_dates.append(string_date)
all_dates.append(datetime.strptime(string_date, "%Y-%m-%d %H:%M").replace(tzinfo=tz.tzlocal()))
# print all_dates
with open("/Users/lorenamesa/Desktop/pytennessee/uber_duration_data.csv", "r") as csvdata:
headers = ['starting_long', 'ending_long', 'high_estimate', 'surge_multiplier', 'starting_lat', 'low_estimate', 'request_id', 'duration', 'localized_display_name', 'ending_lat']
reader = csv.reader(csvdata)
for row in reader:
data = dict(zip(headers, row))
duration = UberDurationEstimate(**data)
all_duration.append(duration)
duration_req_ids = set([duration.request_id for duration in all_duration])
req_id_to_date = dict(zip(duration_req_ids, all_dates))
all_duration = [d for d in all_duration if d.request_id in req_id_to_date.keys()]
for duration in all_duration:
print req_id_to_date[duration.request_id]
utctimestamp = int((req_id_to_date[duration.request_id] - datetime(1970, 1, 1, tzinfo=tz.tzutc())).total_seconds())
duration.set_requested_time(utctimestamp)
uberX_surging = [duration for duration in all_duration if duration.starting_lat == "41.908511" and duration.type == "uberX" and 6 < duration.get_requested_time_hr() < 12]
# print "Num of duration req ids : ", len(duration_req_ids)
"%Y-%m-%d %H:%M").replace(tzinfo=tz.tzlocal()))
# print all_dates
with open("/Users/lorenamesa/Desktop/pytennessee/uber_duration_data.csv",
"r") as csvdata:
headers = [
'starting_long', 'ending_long', 'high_estimate', 'surge_multiplier',
'starting_lat', 'low_estimate', 'request_id', 'duration',
'localized_display_name', 'ending_lat'
]
reader = csv.reader(csvdata)
for row in reader:
data = dict(zip(headers, row))
duration = UberDurationEstimate(**data)
all_duration.append(duration)
duration_req_ids = set([duration.request_id for duration in all_duration])
req_id_to_date = dict(zip(duration_req_ids, all_dates))
all_duration = [
d for d in all_duration if d.request_id in req_id_to_date.keys()
]
for duration in all_duration:
print req_id_to_date[duration.request_id]
utctimestamp = int(
(req_id_to_date[duration.request_id] -
datetime(1970, 1, 1, tzinfo=tz.tzutc())).total_seconds())
duration.set_requested_time(utctimestamp)
