PTS
PTS
creates Genie
Ops objects to learn which configurations
have been applied to a device. The ops objects are snapshots of the
operational state of devices in the topology. PTS
executes multiple commands
(via cli/yang/xml) to collection a feature’s state and operational information.
This concept may sound similar to a Verification
, however, PTS
is only
executed in the common setup and the common cleanup; it does not run between
Triggers
. As PTS
runs only twice, it allows Genie
harness
to take a
complete snapshot of all the features configured on the device, without
impacting the execution time.
Another advantage of PTS
is the pts_golden_config
feature. This feature
allows Genie
to verify that the operational state of the configuration
applied to the device, precisely matches a previously created verified
snapshot. This ensures the same operational state for every run with the same
configuration. Users can find more information about pts_golden_config
feature in the user guide.
Using Ops
Genie
Ops objects are a snapshot of a particular
Feature
on a Device
at a specific time. Hence Ops
objects are suited perfectly
to be used as a comparable PTS
profile
.
Now, let’s see how to create a PTS
profile
.
Step 0: Check if the Genie
Ops
class exists for the feature you want to
run PTS
on. If so, go to Step 2.
Step 1: Write a new Ops
object or update an existing Ops
object for the
feature you would like to profile
. Once this is done, commit the Ops
object to
Genie
Ops
.
Step 2: Add your PTS information to the pts_datafile
as shown below:
<feature_name>:
source:
pkg: genie_libs.genie
class: <your location, for example: ops.ospf.ospf.Ospf>
exclude: [<list of generic keys to ignore in the comparison>]
devices:
uut:
None
Note
More keys from the datafile schema can be added
Step 3: Ensure the job
file is pointing to this file via the pts_datafile
argument.
Step 4: To run PTS
, execute your job via easypy with the required arguments.
Note
The only mandatory argument is the testbed file.