added thresholds for panels

dashboards/panels.py

-from collections import namedtuple
+from dataclasses import dataclass, field
+# from collections import namedtuple
 from dashboards.influx_queries import Query
 from grafanalib.core import TimeSeries, Text, Stat, Template, Repeat, Threshold
 from dashboards.dashboard_base import get_influx_target
+from dashboards.legends import Units
+from numbers import Number
 
-PanelInfos = namedtuple("PanelInfos", ("name", "unit"))
+# PanelInfos = namedtuple("PanelInfos", ("name", "unit"))
 
 
-def get_time_series_panel(field: PanelInfos,
+@dataclass
+class PanelInfos:
+    name: str
+    unit: Units
+    absthreshold: Number = field(default=None)
+
+
+def get_time_series_panel(panel_infos: PanelInfos,
                           data_source: str,
                           measurment_name: str,
                           *,
@@ -16,19 +26,29 @@ def get_time_series_panel(field: PanelInfos,
     is_regex = False
     if measurment_name[0] == '/' and measurment_name[-1] == '/':
         is_regex = True
-    query = Query(select_=field.name,
+    query = Query(select_=panel_infos.name,
                   from_=measurment_name,
                   where_=where,
                   group_by=group_by,
                   from_string=not is_regex)
+    kwargs = {}
+    if panel_infos.absthreshold is not None:
+        kwargs.update({'thresholdType': 'absolute',
+                       'thresholds': [Threshold('green', 0, 0.0),
+                                      Threshold('red', index=1, value=float(panel_infos.absthreshold), op='lt'), ],
+                       'thresholdsStyleMode': 'line',
+                       }
+                      )
 
     return TimeSeries(
-        title=field.name,
+        title=panel_infos.name,
         dataSource=data_source,
         targets=[get_influx_target(str(query))],
-        unit=field.unit,
+        unit=panel_infos.unit,
         pointSize=9,
         overrides=overrides,
+        **kwargs,
+
     )