+# provider-specific operations
+def get_nrcs_data(begin, end, station):
+ """get the data we're after from the NRCS WSDL"""
+ transport = zeep.transports.Transport(cache=zeep.cache.SqliteCache())
+ transport.session.verify = False
+ client = zeep.Client(wsdl=station['source'], transport=transport)
+ remote_data = {}
+
+ # massage begin/end date format
+ begin_date_str = begin.strftime('%Y-%m-%d %H:%M:00')
+ end_date_str = end.strftime('%Y-%m-%d %H:%M:00')
+
+ for element_cd in station['desired_data']:
+ time_element = time.time()
+
+ # get the last three hours of data for this elementCd/element_cd
+ tmp = client.service.getHourlyData(
+ stationTriplets=[station['station_id']],
+ elementCd=element_cd,
+ ordinal=1,
+ beginDate=begin_date_str,
+ endDate=end_date_str)
+
+ LOG.info("Time to get NRCS elementCd '%s': %.3f sec", element_cd,
+ time.time() - time_element)
+
+ values = tmp[0]['values']
+
+ # sort and isolate the most recent
+ #
+ # NOTE: we do this because sometimes there are gaps in hourly data
+ # in NRCS; yes, we may end up with slightly inaccurate data,
+ # so perhaps this decision will be re-evaluated in the future
+ if values:
+ ordered = sorted(values, key=lambda t: t['dateTime'], reverse=True)
+ remote_data[element_cd] = ordered[0]['value']
+ else:
+ remote_data[element_cd] = None
+
+ return remote_data
+
+def get_mesowest_data(begin, end, station):
+ """get the data we're after from the MesoWest/Synoptic API"""
+ remote_data = {}
+
+ # massage begin/end date format
+ begin_date_str = begin.strftime('%Y%m%d%H%M')
+ end_date_str = end.strftime('%Y%m%d%H%M')
+
+ # 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:
+ json = req.json()
+ except ValueError:
+ LOG.error("Bad JSON in MesoWest response")
+ sys.exit(1)
+
+ try:
+ observations = json['STATION'][0]['OBSERVATIONS']
+ except KeyError as exc:
+ LOG.error("Unexpected JSON in MesoWest response: '%s'", exc)
+ sys.exit(1)
+ except IndexError as exc:
+ LOG.error("Unexpected JSON in MesoWest response: '%s'", exc)
+ try:
+ LOG.error("Detailed MesoWest response: '%s'",
+ json['SUMMARY']['RESPONSE_MESSAGE'])
+ except KeyError:
+ pass
+ sys.exit(1)
+ except ValueError as exc:
+ LOG.error("Bad JSON in MesoWest response: '%s'", exc)
+ sys.exit(1)
+
+ pos = len(observations['date_time']) - 1
+
+ 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
+ #
+ # NOTE: Unlike in the NRCS case, the MesoWest API response contains all
+ # data (whereas with NRCS, we have to make a separate request for
+ # each element we want). This is nice for network efficiency but
+ # it means we have to handle this part differently for each.
+ #
+ # NOTE: Also unlike NRCS, MesoWest provides more granular data; NRCS
+ # provides hourly data, but MesoWest can often provide data every
+ # 10 minutes -- though this provides more opportunity for
+ # irregularities
+
+ # we may not have the data at all
+ key_name = element_cd + '_set_1'
+
+ if key_name in observations:
+ if observations[key_name][pos]:
+ remote_data[element_cd] = observations[key_name][pos]
+
+ # 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:
+ remote_data[element_cd] = None
+ else:
+ remote_data[element_cd] = None
+
+ return remote_data
+
+def switch_units_to_metric(data_map, mapping):
+ """replace units with metric counterparts"""
+
+ # NOTE: to update this, use the fmap<->final_data mapping laid out
+ # in setup_infoex_fields_mapping ()
+ #
+ # NOTE: this only 'works' with MesoWest for now, as the MesoWest API
+ # itself handles the unit conversion; in the future, we will also
+ # support NRCS unit conversion, but this must be done by this
+ # program.
+ data_map[mapping['tempMaxHourUnit']] = 'C'
+ data_map[mapping['tempMinHourUnit']] = 'C'
+ data_map[mapping['tempPresUnit']] = 'C'
+ data_map[mapping['precipitationGaugeUnit']] = 'C'
+ data_map[mapping['hsUnit']] = 'cm'
+ data_map[mapping['windSpeedUnit']] = 'm/s'
+ data_map[mapping['windGustSpeedNumUnit']] = 'm/s'
+ data_map[mapping['dewPointUnit']] = 'C'
+ data_map[mapping['hn24AutoUnit']] = 'cm'
+ data_map[mapping['hstAutoUnit']] = 'cm'
+
+ return data_map
+
+def convert_nrcs_units_to_metric(element_cd, value):
+ """convert NRCS values from English to metric"""
+ if element_cd == 'TOBS':
+ value = f_to_c(value)
+ elif element_cd == 'SNWD':
+ value = in_to_cm(value)
+ elif element_cd == 'PREC':
+ value = in_to_cm(value)
+ return value
+
wylark / infoex-autowx.git / blobdiff