[Phase 4] Implement AI Suppression Feedback Loop & CLI Overrides

[omsherikar]

Description

To prevent recurring API costs on identical suppressed code, the pattern heuristics engine must memorize AI decisions. Furthermore, developers need a way to overrule the AI if it incorrectly suppresses a genuine smell.

Acceptance Criteria

• Update PatternLearner (refactron/patterns/learner.py) to accept and store a new feedback action: "suppressed_by_ai".
• Ensure PatternMatcher checks for "suppressed_by_ai" fingerprints and drops the issue locally before hitting the LLM API.
• Update the CLI refactron report command to support an --include-suppressed flag.
• Update the CLI refactron feedback command to allow users to override: refactron feedback <id> --action accepted_as_smell.
• Add end-to-end tests validating that a manual override permanently overrides the AI's suppression caching.

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