import zeep.cache
import zeep.transports
-__version__ = '3.2.1'
+__version__ = '3.3.0'
LOG = logging.getLogger(__name__)
LOG.setLevel(logging.NOTSET)
LOG.critical("%s is not a valid timezone", tz)
sys.exit(1)
+ # By default, fetch three hours of data
+ #
+ # If user wants hn24 or wind averaging, then
+ # we need more.
+ station['num_hrs_to_fetch'] = 3
+
+ # HN24
+ if 'hn24' in config['station']:
+ if config['station']['hn24'] not in ['true', 'false']:
+ raise ValueError("hn24 must be either 'true' or 'false'")
+
+ if config['station']['hn24'] == "true":
+ station['hn24'] = True
+ station['num_hrs_to_fetch'] = 24
+ else:
+ station['hn24'] = False
+ else:
+ # default to False
+ station['hn24'] = False
+
+ # Wind mode
+ if 'wind_mode' in config['station']:
+ if config['station']['wind_mode'] not in ['normal', 'average']:
+ raise ValueError("wind_mode must be either 'normal' or 'average'")
+
+ station['wind_mode'] = config['station']['wind_mode']
+
+ if station['wind_mode'] == "average":
+ station['num_hrs_to_fetch'] = 24
+ else:
+ # default to False
+ station['wind_mode'] = "normal"
+
except KeyError as err:
LOG.critical("%s not defined in configuration file", err)
sys.exit(1)
+ except ValueError as err:
+ LOG.critical("%s", err)
+ sys.exit(1)
# all sections/values present in config file, final sanity check
try:
# fallback to stdout
handler = logging.StreamHandler(sys.stdout)
formatter = logging.Formatter('%(asctime)s.%(msecs)03d '
- '%(levelname)s %(module)s - %(funcName)s: %(message)s',
- '%Y-%m-%d %H:%M:%S')
+ '%(levelname)s %(module)s - '
+ '%(funcName)s: %(message)s',
+ '%Y-%m-%d %H:%M:%S')
handler.setFormatter(formatter)
LOG.addHandler(handler)
LOG.warning("BAD KEY wx_data['%s']", element_cd)
continue
+ if infoex['wx_data'][element_cd] is None:
+ continue
+
# do the conversion before the rounding
if station['provider'] == 'nrcs' and station['units'] == 'metric':
infoex['wx_data'][element_cd] = convert_nrcs_units_to_metric(element_cd, infoex['wx_data'][element_cd])
# direction, wind gust, snow depth
# 1 decimal place: air temp, baro
# Avoid transforming None values
- if infoex['wx_data'][element_cd] is None:
- continue
- elif element_cd in ['wind_speed', 'WSPD', 'wind_direction',
- 'RHUM', 'relative_humidity', 'WDIR',
- 'wind_gust', 'SNWD', 'snow_depth']:
+ if element_cd in ['wind_speed', 'WSPD', 'wind_direction',
+ 'RHUM', 'relative_humidity', 'WDIR',
+ 'wind_gust', 'SNWD', 'snow_depth',
+ 'hn24']:
infoex['wx_data'][element_cd] = round(infoex['wx_data'][element_cd])
elif element_cd in ['TOBS', 'air_temp', 'PRES', 'pressure']:
infoex['wx_data'][element_cd] = round(infoex['wx_data'][element_cd], 1)
+ elif element_cd in ['PREC', 'precip_accum']:
+ infoex['wx_data'][element_cd] = round(infoex['wx_data'][element_cd], 2)
# CONSIDER: Casting every value to Float() -- need to investigate if
# any possible elementCds we may want are any other data
iemap['wind_speed'] = 'windSpeedNum'
iemap['wind_direction'] = 'windDirectionNum'
iemap['wind_gust'] = 'windGustSpeedNum'
+
+ # NOTE: this doesn't exist in MesoWest, we create it in this
+ # program, so add it to the map here
+ iemap['hn24'] = 'hn24Auto'
elif provider == 'python':
# we expect Python programs to use the InfoEx data type names
iemap['precipitationGauge'] = 'precipitationGauge'
# construct final, completed API URL
api_req_url = station['source'] + '&start=' + begin_date_str + '&end=' + end_date_str
- req = requests.get(api_req_url)
+
+ try:
+ req = requests.get(api_req_url)
+ except requests.exceptions.ConnectionError:
+ LOG.error("Could not connect to '%s'", api_req_url)
+ sys.exit(1)
try:
json = req.json()
LOG.error("Bad JSON in MesoWest response: '%s'", exc)
sys.exit(1)
+ # pos represents the last item in the array, aka the most recent
pos = len(observations['date_time']) - 1
+ # while these values only apply in certain cases, init them here
+ wind_speed_values = []
+ wind_gust_speed_values = []
+ wind_direction_values = []
+ hn24_values = []
+
+ # results
+ wind_speed_avg = None
+ wind_gust_speed_avg = None
+ wind_direction_avg = None
+ hn24 = None
+
for element_cd in station['desired_data'].split(','):
# sort and isolate the most recent, see note above in NRCS for how and
# why this is done
key_name = element_cd + '_set_1'
if key_name in observations:
- if observations[key_name][pos]:
- remote_data[element_cd] = observations[key_name][pos]
+ # val is what will make it into the dataset, after
+ # conversions... it gets defined here because in certain
+ # cases we need to look at all of the data to calculate HN24
+ # or wind averages, but for the rest of the data, we only
+ # take the most recent
+ val = None
+
+ # loop through all observations for this key_name
+ # record relevant values for wind averaging or hn24, but
+ # otherwise only persist the data if it's the last datum in
+ # the set
+ for idx, _ in enumerate(observations[key_name]):
+ val = observations[key_name][idx]
+
+ # skip bunk vals
+ if val is None:
+ continue
# mesowest by default provides wind_speed in m/s, but
# we specify 'english' units in the request; either way,
# we want mph
if element_cd in ('wind_speed', 'wind_gust'):
- remote_data[element_cd] = kn_to_mph(remote_data[element_cd])
- else:
+ val = kn_to_mph(val)
+
+ # mesowest provides HS in mm, not cm; we want cm
+ if element_cd == 'snow_depth' and station['units'] == 'metric':
+ val = mm_to_cm(val)
+
+ # HN24 / wind_mode transformations, once the data has
+ # completed unit conversions
+ if station['wind_mode'] == "average":
+ if element_cd == 'wind_speed' and val is not None:
+ wind_speed_values.append(val)
+ elif element_cd == 'wind_gust' and val is not None:
+ wind_gust_speed_values.append(val)
+ elif element_cd == 'wind_direction' and val is not None:
+ wind_direction_values.append(val)
+
+ if element_cd == 'snow_depth':
+ hn24_values.append(val)
+
+ # again, only persist this datum to the final data if
+ # it's from the most recent date
+ if idx == pos:
+ remote_data[element_cd] = val
+
+ # ensure that the data is filled out
+ if not observations[key_name][pos]:
remote_data[element_cd] = None
else:
remote_data[element_cd] = None
+ if len(hn24_values) > 0:
+ # instead of taking MAX - MIN, we want the first value (most
+ # distant) - the last value (most recent)
+ #
+ # if the result is positive, then we have HN24; if it's not,
+ # then we have settlement
+ #hn24 = max(hn24_values) - min(hn24_values)
+ hn24 = hn24_values[0] - hn24_values[len(hn24_values)-1]
+
+ if hn24 < 0.0:
+ # this case represents HS settlement
+ #
+ # TODO: determine if InfoEx supports auto-stations reporting
+ # HS settlement values
+ hn24 = 0.0
+
+ if len(wind_speed_values) > 0:
+ wind_speed_avg = sum(wind_speed_values) / len(wind_speed_values)
+
+ if len(wind_gust_speed_values) > 0:
+ wind_gust_speed_avg = sum(wind_gust_speed_values) / len(wind_gust_speed_values)
+
+ if len(wind_direction_values) > 0:
+ wind_direction_avg = sum(wind_direction_values) / len(wind_direction_values)
+
+ if hn24 is not None:
+ remote_data['hn24'] = hn24
+
+ # overwrite the following with the respective averages, if
+ # applicable
+ if wind_speed_avg is not None:
+ remote_data['wind_speed'] = wind_speed_avg
+
+ if wind_gust_speed_avg is not None:
+ remote_data['wind_gust'] = wind_gust_speed_avg
+
+ if wind_direction_avg is not None:
+ remote_data['wind_direction'] = wind_direction_avg
+
return remote_data
def switch_units_to_metric(data_map, mapping):
end_date = date_time - datetime.timedelta(minutes=date_time.minute % 60,
seconds=date_time.second,
microseconds=date_time.microsecond)
- begin_date = end_date - datetime.timedelta(hours=3)
+ begin_date = end_date - datetime.timedelta(hours=station['num_hrs_to_fetch'])
return (begin_date, end_date)
def f_to_c(f):
"""convert knots to miles per hour"""
return kn * 1.150779
+def mm_to_cm(mm):
+ """convert millimeters to centimetrs"""
+ return mm / 10.0
+
if __name__ == "__main__":
sys.exit(main())
wylark / infoex-autowx.git / blobdiff