Merge branch 'hn24-and-wind-avg'

[infoex-autowx.git] / infoex-autowx.py

diff --git a/infoex-autowx.py b/infoex-autowx.py
index 2b7880eaf9865acad39b83c6a56d8b5e1a55f92c..e5849331cd79ec7846d5d781d38d4e9e6de5edad 100755 (executable)
--- a/infoex-autowx.py
+++ b/infoex-autowx.py
@@ -328,7 +328,8 @@ def main():
         # Avoid transforming None values
         if element_cd in ['wind_speed', 'WSPD', 'wind_direction',
                           'RHUM', 'relative_humidity', 'WDIR',
-                          'wind_gust', 'SNWD', 'snow_depth']:
+                          '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)
@@ -440,6 +441,10 @@ def setup_infoex_counterparts_mapping(provider):
         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'
@@ -536,8 +541,21 @@ def get_mesowest_data(begin, end, station):
         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
@@ -556,23 +574,84 @@ def get_mesowest_data(begin, end, station):
         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])
+                    val = kn_to_mph(val)
 
                 # mesowest provides HS in mm, not cm; we want cm
                 if element_cd == 'snow_depth' and station['units'] == 'metric':
-                    remote_data[element_cd] = mm_to_cm(remote_data[element_cd])
-            else:
+                    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:
+        hn24 = max(hn24_values) - min(hn24_values)
+
+    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):