Actually fix the geojson plotter to return the correct values

The first set of changes (in 232628c) switch
cleaned -> inferred. But that was actually in code where we get the locations
for the section.

The actual sections are retrieved as part of the cleaned timeline.

So the potential fixes are:
- we can create a new inferred timeline that combines inferred sections with
  cleaned stops. This is not strictly hard to do; see
  `emission.storage.decorations.timeline.get_timeline` but then we need to
  think about whether we should also have the stops be inferred stops...

- just replace the mode (which is the only thing different between the
  sections) with the mode from the corresponding inferred section. This is easy
  and it works.

emission/analysis/plotting/geojson/geojson_feature_converter.py

@@ -19,6 +19,7 @@
 
 import emission.storage.decorations.trip_queries as esdt
 import emission.storage.decorations.analysis_timeseries_queries as esda
+import emission.storage.decorations.section_queries as esds
 import emission.storage.decorations.timeline as esdtl
 
 import emission.core.wrapper.location as ecwl
@@ -114,7 +115,7 @@ def section_to_geojson(section, tl):
     ts = esta.TimeSeries.get_time_series(section.user_id)
     entry_it = ts.find_entries(["analysis/recreated_location"],
                                esda.get_time_query_for_trip_like(
-                                   eac.get_section_key_for_analysis_results(),
+                                   "analysis/cleaned_section",
                                    section.get_id()))
 
     # TODO: Decide whether we want to use Rewrite to use dataframes throughout instead of python arrays.
@@ -147,9 +148,19 @@ def section_to_geojson(section, tl):
     # Update works on dicts, convert back to a section object to make the modes
     # work properly
     points_line_feature.properties = ecwcs.Cleanedsection(points_line_feature.properties)
+
     points_line_feature.properties["feature_type"] = "section"
-    points_line_feature.properties["sensed_mode"] = str(points_line_feature.properties.sensed_mode)
 
+    if eac.get_section_key_for_analysis_results() == esda.INFERRED_SECTION_KEY:
+        ise = esds.cleaned2inferred_section(section.user_id, section.get_id())
+        logging.debug("mapped cleaned section %s -> inferred section %s" % 
+            (section.get_id(), ise.get_id()))
+        logging.debug("changing mode from %s -> %s" % 
+            (points_line_feature.properties.sensed_mode, ise.data.sensed_mode))
+        points_line_feature.properties["sensed_mode"] = str(ise.data.sensed_mode)
+    else:
+        points_line_feature.properties["sensed_mode"] = str(points_line_feature.properties.sensed_mode)
+
     _del_non_derializable(points_line_feature.properties, ["start_loc", "end_loc"])
 
     # feature_array.append(gj.FeatureCollection(points_feature_array))