Description of problem:

Ceilometer returns aggregated statistical values as float, whereas the 'resource usage' panel narrows to int before inserting these data into the line chart.

For meters defined over a narrow range (such as cpu_util ranging from 0.0% to 100.0%) this has the effect of unnaturally smoothening the graph by discarding precision.


Version-Release number of selected component (if applicable):

python-django-horizon-2013.2-3.el6ost


How reproducible:

100%


Steps to Reproduce:

1. Log into horizon as an admin user

2. Ensure at least one instance has been spun up

3. Navigate to the admin/Resource Usage panel 

4. Select via dropdowns:

     Metric: cpu_util
     Group by: Project
     Value: max
     Period: Last day 

5. Hover over datapoints on the linechart, note that all values are integers

6. Confirm that the actual values have floating point precision:

  $ TENANT_ID=<some-tenant-who-owns-an-instance>
  $ ceilometer statistics -m cpu_util -q "project_id=$TENANT_ID"


Actual results:

All datapoints are renedered as ints.


Expected results:

All datapoints are renedered as floats.


Additional info:

N/A