Ejemplo n.º 1
0
                        direction = float(
                            data[5]) / 360  # normalize between [0, 1)
                        speed = float(data[6]) / 10  # attempt to normalize
                        return speed, direction
        except:
            logger.error("Connection error: reconnecting...")
            time.sleep(next(wait_time))
    return speed, direction


LOCATIONS_1 = ['41008', '44005', '46060', '46061']
LOCATIONS_2 = ['46073', '46076', '46077', '46078']


def fetch_data(locations):
    names = list()
    values = list()
    for location in locations:
        speed, direction = fetch_live_data(location=location)
        names.append('noaa_wind_speed_' + location + '.json')
        values.append(speed)
        names.append('noaa_wind_direction_' + location + '.json')
        values.append(direction)
    return names, values


if __name__ == '__main__':
    for locations in [LOCATIONS_1, LOCATIONS_2]:
        names, values = fetch_data(locations=locations)
        res = mw.cset(names=names, values=values)
Ejemplo n.º 2
0
                for i, line in enumerate(file):
                    # most recent data is at line number 3 in the file
                    if i == 2:
                        data = line.decode("utf-8").split()
                        if prev_data == data:
                            idx -= 2
                        else:
                            prev_data = data
                            idx = 6
                        break
                for i, line in enumerate(file):
                    if i == idx:
                        direction = float(data[5]) / 360        # normalize between [0, 1)
                        speed = float(data[6]) / 10             # attempt to normalize
                        return speed, direction
        except:
            logger.error("Connection error: reconnecting...")
            time.sleep(next(wait_time))
    return speed, direction



if __name__=='__main__':
    utc_now = pytz.utc.localize(datetime.utcnow())
    pst_now = utc_now.astimezone(pytz.timezone("America/Los_Angeles"))
    speed, direction = fetch_live_data()
    res = mw.cset(names=[NAME_SPEED, NAME_DIR],values=[speed, direction])
    pprint({'PST time':pst_now.strftime("%H:%M"),'speed':speed,'direction':direction,"res":res})
    print('',flush=True)