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()
train_predictions = train_tracker.get_predictions_for_stops(stp_id="30112,30116,30153",max=10)
with open("/Users/lorenamesa/Desktop/pytennessee/train_data.csv", "ab") as traindata:
if train_predictions:
wr = csv.writer(traindata, dialect='excel')
logging.info("Writing data for cta data...")
for prediction in train_predictions:
wr.writerow(prediction.__dict__.values())
# "('is_delayed', u'0')","('route', u'Blue')","('is_fault', u'0')","('arrival_time', u'20160124 13:35:50')","('requested_time', u'20160124 13:23:50')","('is_scheduled', u'0')","('stop_name', u'Monroe')","('is_approached', u'0')","('train_direction', u'1')"
prediction.eta))
for cali_p in cali_predictions:
db.query("INSERT INTO bus_predictions " +
"(stop_name, route, direction, arrival_time, requested_time, distance, vehicle_id, eta) " +
"VALUES ('{0}', '{1}', '{2}', {3}, {4}, {5}, {6}, {7})".format(prediction.stop_name,
prediction.route,
prediction.direction,
prediction.arrival_time,
prediction.requested_time,
prediction.distance,
prediction.vehicle_id,
prediction.eta))
train_tracker = CTATraintracker()
train_predictions = train_tracker.get_predictions_for_stops(requested_time=requested_time, stp_id="30112,30116,30153", max=10)
if train_predictions:
logging.info("Writing cta data...")
for prediction in train_predictions:
db.query("INSERT INTO train_predictions " +
"(stop_name, route, direction, arrival_time, requested_time, delayed, scheduled, approaching, fault, eta) " +
"VALUES ('{0}', '{1}', '{2}', {3}, {4}, {5}, {6}, {7}, {8}, {9})".format(prediction.stop_name,
prediction.route,
prediction.direction,
prediction.arrival_time,
prediction.requested_time,
prediction.delayed,
prediction.scheduled,
prediction.approaching,
