How would you debug production issues related to Decorators?

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Quick interview answer

Debug Decorators by confirming blast radius, checking lag/error metrics, grabbing profiles/traces, then mitigating before deep root-cause. Common mistakes: Forgetting @wraps; decorator not returning wrapper function. Best practices: Use wraps; accept *args/**kwargs in generic decorators; prefer parameterized factory pattern.

Detailed answer

Production debug playbook for Decorators: 1) Stabilize: rate-limit, shed load, or roll back if users are hurting. 2) Orient: dashboards for latency, errors, saturation tied to Decorators. 3) Evidence: traces, profiles, logs with correlation IDs. 4) Hypothesize + prove with a safe experiment. 5) Fix + add a regression test/alert so it cannot silently return. Watch for: Forgetting @wraps; decorator not returning wrapper function. Parent context: Common mistakes: Forgetting @wraps; decorator not returning wrapper function. Best practices: Use wraps; accept *args/**kwargs in generic decorators; prefer parameterized factory pattern.

Full explanation

Interviewers score structured incident thinking: mitigate → measure → root cause → prevent. Decorators wrap functions: @decorator applies decorator(func). functools.wraps preserves __name__/__doc__. Common for logging, auth, caching, retries.

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Parent context — Decorators

Common mistakes: Forgetting @wraps; decorator not returning wrapper function. Best practices: Use wraps; accept *args/**kwargs in generic decorators; prefer parameterized factory pattern.

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