feat(extraction): add TrapPruner, MissingnessRecognizer, TargetLeakageAuditor#70
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feat(extraction): add TrapPruner, MissingnessRecognizer, TargetLeakageAuditor#70
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…eAuditor - TrapPruner: statistical profiling + LLM verification of Gaussian noise columns - MissingnessRecognizer: MNAR pattern detection with sandbox-compiled encoders - TargetLeakageAuditor: semantic timeline evaluation for target leakage
…o public API - Add all three to extraction/__init__.py lazy imports - Add Loclean class methods + module-level convenience functions - Update __all__ in loclean/__init__.py
…r, TargetLeakageAuditor - 13 tests each (39 total) covering profiling, prompt construction, verdict parsing, verification, and mock-LLM integration
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Summary
Adds three new LLM-driven extraction modules for automated data quality analysis:
New Modules
TrapPrunerloclean.prune_traps()MissingnessRecognizerloclean.recognize_missingness(){col}_mnarfeature flagsTargetLeakageAuditorloclean.audit_leakage()Design
compile_sandboxedChanges
src/loclean/extraction/trap_pruner.py[NEW]src/loclean/extraction/missingness_recognizer.py[NEW]src/loclean/extraction/leakage_auditor.py[NEW]src/loclean/extraction/__init__.py— lazy importssrc/loclean/__init__.py— Loclean class methods + module-level functions +__all__Tests
39 unit tests (13 per module) covering profiling, prompt construction, verdict parsing, and mock-LLM integration.