def compare_routes():
threshold = 1320 # 0.25 mile in feet
cta_client = CTABustracker()
predictions = cta_client.get_predictions_for_stops(route_id=request.args.get('route'),
stp_id=request.args.get('current_stop_id'))
closest = min(predictions, key=lambda x: abs(x.distance_to_stop - threshold))
return json.dumps(closest, cls=MyEncoder)
#!/usr/bin/env python
import csv
import sys
import logging
logger = logging.getLogger()
handler = logging.StreamHandler()
formatter = logging.Formatter(
'%(asctime)s %(name)-12s %(levelname)-8s %(message)s')
handler.setFormatter(formatter)
logger.addHandler(handler)
logger.setLevel(logging.DEBUG)
sys.path.append('/Users/lorenamesa/Desktop/pyten/lib/python2.7/site-packages/')
from api.cta_api import CTABustracker
bus_tracker = CTABustracker("T6ketWk5cWetPgYVqkvEVJVng")
bulletins = bus_tracker.get_bulletins(stp_id="890,944,3183,3006")
with open("/Users/lorenamesa/Desktop/pytennessee/bus_service_bulletins.csv", "ab") as csvdata:
if bulletins:
logging.info("Writing service bulletins for bus data...")
wr = csv.writer(csvdata, dialect='excel')
for bulletin in bulletins:
wr.writerow(bulletin.__dict__.values())
import sys
import logging
logger = logging.getLogger()
handler = logging.StreamHandler()
formatter = logging.Formatter(
'%(asctime)s %(name)-12s %(levelname)-8s %(message)s')
handler.setFormatter(formatter)
logger.addHandler(handler)
logger.setLevel(logging.DEBUG)
sys.path.append('/Users/lorenamesa/Desktop/pyten/lib/python2.7/site-packages/')
from api.cta_api import CTABustracker, CTATraintracker
bus_tracker = CTABustracker()
predictions = bus_tracker.get_predictions_for_stops(route_id=72, stp_id="890,944")
cali_predictions = bus_tracker.get_predictions_for_stops(route_id=52, stp_id="3183,3006")
with open("/Users/lorenamesa/Desktop/pytennessee/bus_data.csv", "ab") as csvdata:
headers = ['distance_to_stop', 'route', 'vehicle_id', 'arrival_time', 'requested_time', 'route_direction', 'stop_name']
if predictions:
logging.info("Writing data for bus data...")
wr = csv.writer(csvdata, dialect='excel')
for prediction in predictions:
wr.writerow(prediction.__dict__.values())
for cali_p in cali_predictions:
wr.writerow(cali_p.__dict__.values()) # ['distance_to_stop', 'route', 'vehicle_id', 'arrival_time', 'requested_time', 'route_direction', 'stop_name']
train_tracker = CTATraintracker()