def publish_current_observation(data, ch):
co = data['current_observation']
current_obs = {
'timestamp' : time_util.dt_from_epoch_with_tz(int(co['local_epoch']), co['local_tz_long']),
'station_id' : co['station_id'],
'temp_C' : co['temp_c'],
'windchill_C' : _float(co['windchill_c']),
'dewpoint_C' : co['dewpoint_c'],
'rel_humid' : _float(co['relative_humidity'].replace("%", "")),
'windspeed_mph' : co['wind_mph'],
'windgust_mph' : co['wind_gust_mph'],
'wind_dir' : co['wind_degrees'],
'pressure_mb' : _float(co['pressure_mb']),
'visibility_mi' : _float(co['visibility_mi']),
'weather' : co['weather'],
'precip_mm' : {
'1hr' : _float(co['precip_1hr_metric']),
'today' : _float(co['precip_today_metric']),
},
}
# publish to wx.current_observation
ch.basic_publish(
exchange='weather',
routing_key='current_observation',
properties = pika.BasicProperties(
content_type = 'application/json'
),
body = serializer_utils.serialize(current_obs, 'application/json')
)
def publish_7day_forecast(data, ch):
daily_forecast = []
for df in data['forecast']['simpleforecast']['forecastday']:
daily_forecast.append({
'timestamp' : time_util.dt_from_epoch_with_tz(
int(df['date']['epoch']),
df['date']['tz_long']
),
'condition' : (df['conditions'],),
'hi_temp_C' : _float(df['high']['celsius']),
'lo_temp_C' : _float(df['low']['celsius']),
'rel_humid' : _float(df['avehumidity']),
'avg_windspeed_mph' : _float(df['avewind']['mph']),
'avg_wind_dir' : _float(df['avewind']['degrees']),
'max_windspeed_mph' : _float(df['maxwind']['mph']),
'max_wind_dir' : _float(df['maxwind']['degrees']),
'pct_of_precip' : _float(df['pop']),
})
# publish to wx.7day_forecast
ch.basic_publish(
exchange='weather',
routing_key='7day_forecast',
properties = pika.BasicProperties(
content_type = 'application/json'
),
body=json.dumps(daily_forecast)
)
