Change Validation with pyATS
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Included in this chapter:
- The pre, post, diff pattern
- The testbed: how pyATS reaches the device
- Structured state: parse() and learn()
- Diffing structured state, and why volatile fields vanish
- Scripting it: AEtest testcases and jobs
- Exam-pattern recognition
Capturing and validating state: parse vs learn vs AEtest job
| Approach | pyats parse | pyats learn | AEtest + job |
|---|---|---|---|
| Scope | One show command | A whole feature (several commands) | Many features plus explicit checks |
| Output | Structured dict (JSON) | Ops object / snapshot files | Pass/fail report + archive |
| Verdict | None; you read it | None until you diff two snapshots | Built-in pass/fail per Testcase |
| Python needed | No (CLI) or device.parse() | No (CLI) or device.learn() | Yes for the testscript, run via CLI |
| Best for | Quick look at one value | Before/after change validation | Repeatable, gated CI validation |
Decision tree
Cheat sheet
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