use default labels for unknown keys

Signed-off-by: hwassman <[email protected]>

Author: Helene

source/collector.py

@@ -38,17 +38,17 @@
 
 class TimeSeries(object):
 
-    def __init__(self, columnInfo, dps, filtersMap):
+    def __init__(self, columnInfo, dps, filtersMap, defaultLabels):
         self.metricname = columnInfo.keys[0].metric
         self.columnInfo = columnInfo
         self.dps = dps
         self.tags = defaultdict(list)
         self.aggregatedTags = []
 
-        self.parse_tags(filtersMap)
+        self.parse_tags(filtersMap, defaultLabels)
 
     @cond_execution_time(enabled=analytics.inspect_special)
-    def parse_tags(self, filtersMap):
+    def parse_tags(self, filtersMap, defaultLabels):
         tagsDict = defaultdict(set)
         logger = getBridgeLogger()
         for key in self.columnInfo.keys:
@@ -80,6 +80,13 @@ def parse_tags(self, filtersMap):
                 else:
                     logger.trace(MSG['NewKeyAlreadyReported'].format('|'.join(ident)))
 
+                constructedTags = dict(zip(defaultLabels, ident))
+                if len(self.columnInfo.keys) == 1:
+                    self.tags = constructedTags
+                else:
+                    for _key, _value in constructedTags.items():
+                        tagsDict[_key].add(_value)
+
         for _key, _values in tagsDict.items():
             if len(_values) > 1:
                 self.aggregatedTags.append(_key)
@@ -146,6 +153,7 @@ def __init__(self, sensor: str, period: str):
         self.period = period
         self.metrics = {}
         self.filtersMap = self._get_all_filters()
+        self.labels = self._get_sensor_labels()
 
     def cleanup_metrics_values(self) -> None:
         for name in self.metrics.keys():
@@ -193,6 +201,9 @@ def _get_all_filters(self):
         md = MetadataHandler()
         return md.metaData.getAllFilterMapsForSensor(self.sensor)
 
+    def _get_sensor_labels(self):
+        md = MetadataHandler()
+        return md.metaData.getSensorLabels(self.sensor)
 
 @classattributes(dict(metricsaggr=None, filters=None, grouptags=None,
                       start='', end='', nsamples=0, duration=0,
@@ -369,7 +380,7 @@ def _collect(self):
                 columnValues[columnInfo][row.tstamp] = value
 
         for columnInfo, dps in columnValues.items():
-            ts = TimeSeries(columnInfo, dps, self.filtersMap)
+            ts = TimeSeries(columnInfo, dps, self.filtersMap, self.labels)
             if self.metrics.get(columnInfo.keys[0].metric) is not None:
                 self.logger.trace(MSG['MetricInResults'].format(
                     columnInfo.keys[0].metric))

source/queryHandler/Topo.py

@@ -226,6 +226,15 @@ def getSensorForMetric(self, searchMetric):
                 return sensor
         return None
 
+    def getSensorLabels(self, searchSensor: str) -> list:
+        labelsDict = self.__levels.get(searchSensor, None)
+        if labelsDict:
+            labelsList = []
+            for level, name in labelsDict.items():
+                labelsList.insert(int(level) - 1, name)
+            return labelsList
+        return []
+
     def getSensorMetricNames(self, searchSensor: str) -> list:
         metrics = self.__metricsDef.get(searchSensor, None)
         if metrics: