pyats-dynamic-test

Automate post-change network validation by generating deterministic pyATS aetest scripts that verify interface state, OSPF neighbors, BGP routes, and reachability matrices against a known-good baseline. You supply a JSON-serialized test payload to define the validation criteria and execute it within a sandbox.

Deterministic regression testing for network devices involves running data-driven pyATS test suites to prove that device state matches a known-good baseline after changes. It ensures repeatable validation across devices by checking protocols like OSPF and BGP.

Yes, pyATS aetest requires the test script to be supplied as a single-line JSON string. This TEST_DATA payload defines the target devices and validation checks, which the framework uses to generate and execute the formal test suite.

To run pyATS validation scripts, you need Python 3 and the pyATS framework installed. The execution must occur in a sandbox with a defined timeout, and the test data must be provided as a JSON-serialized string.

Yes, you can verify BGP routes and OSPF neighbors simultaneously by defining both checks within the TEST_DATA JSON payload. The generated pyATS aetest script executes these validations together to confirm overall network state.

The limitation of running pyATS tests via a JSON string is that the entire test script must be supplied as a single-line JSON string and executed within a sandbox with a defined timeout. This requires careful payload construction and limits execution time.