remove fs dependency for summary observation collector

python/res/enkf/export/summary_observation_collector.py

@@ -30,40 +30,32 @@ def loadObservationData(ert, case_name, keys=None):
         @type keys: list of str
         @rtype: DataFrame
         """
-        fs = ert.getEnkfFsManager().getFileSystem(case_name)
-
-        time_map = fs.getTimeMap()
-        dates = [time_map[index].datetime() for index in range(1, len(time_map))]
-
+        observations = ert.getObservations()
+        history_length = ert.getHistoryLength()
+        dates = [
+            observations.getObservationTime(index).datetime()
+            for index in range(1, history_length)
+        ]
         summary_keys = SummaryObservationCollector.getAllObservationKeys(ert)
         if keys is not None:
             summary_keys = [
                 key for key in keys if key in summary_keys
             ]  # ignore keys that doesn't exist
-
         columns = summary_keys
         std_columns = ["STD_%s" % key for key in summary_keys]
-
         df = DataFrame(index=dates, columns=columns + std_columns)
-
         for key in summary_keys:
             observation_keys = ert.ensembleConfig().getNode(key).getObservationKeys()
-
             for obs_key in observation_keys:
-                observations = ert.getObservations()
                 observation_data = observations[obs_key]
-                history_length = ert.getHistoryLength()
-
                 for index in range(0, history_length):
                     if observation_data.isActive(index):
                         obs_time = observations.getObservationTime(index).datetime()
                         node = observation_data.getNode(index)
                         value = node.getValue()
                         std = node.getStandardDeviation()
-
                         df[key][obs_time] = value
                         df["STD_%s" % key][obs_time] = std
-
         return df
 
     @classmethod