def get_prediction_and_save(many_mins=15):
stations = getStations()
prediction_list = []
for station in stations:
prediction_list.append(make_prediction(station, int(many_mins)))
lock.acquire()
try:
cache[many_mins] = prediction_list
pickle.dump(cache, open("cache.p", "wb") )
finally:
lock.release()
def get_prediction_and_save(many_mins=15):
stations = getStations()
prediction_list = []
for station in stations:
prediction_list.append(make_prediction(station, int(many_mins)))
lock.acquire()
try:
cache[many_mins] = prediction_list
pickle.dump(cache, open("cache.p", "wb"))
finally:
lock.release()
def predict(station_id, many_mins): stations = getStations() return jsonify(make_prediction(stations[int(station_id)], int(many_mins)))
def predict(station_id, many_mins):
stations = getStations()
return jsonify(make_prediction(stations[int(station_id)], int(many_mins)))