docs(04-GC-01): add execution summary
Document completion of PersonalityLearner initialization fix with all task results and verification details. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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phase: 04
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plan: GC-01
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name: Fix PersonalityLearner Initialization
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status: complete
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started: 2026-01-29 00:15:00 UTC
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completed: 2026-01-29 00:17:56 UTC
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---
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# Gap Closure Plan 1: Fix PersonalityLearner Initialization
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**Objective:** Add missing AdaptationRate import to enable PersonalityLearner instantiation
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**Gap Closed:** Missing AdaptationRate import blocking PersonalityLearner initialization
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## Deliverables
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1. AdaptationRate imported in src/memory/__init__.py
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2. AdaptationRate included in __all__ export list
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3. PersonalityLearner can be instantiated without NameError
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## Tasks Completed
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| Task | Status | Commit | Description |
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|------|--------|--------|-------------|
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| 1. add-missing-import | ✓ | 3c0b8af | Added AdaptationRate to import statement |
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| 2. verify-import-chain | ✓ | bca6261 | Verified AdaptationRate in __all__ list |
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| 3. test-personality-learner-init | ✓ | d082ddc | Tested PersonalityLearner instantiation |
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## Key Changes
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- **File:** src/memory/__init__.py
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- **Changes:**
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- Line 22: Added `AdaptationRate` to import from `.personality.adaptation`
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- Line 874: Added `AdaptationRate` to __all__ export list
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- **Result:** PersonalityLearner(None) now instantiates successfully without NameError
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## Verification
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✓ AdaptationRate import added to line 22
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✓ AdaptationRate in __all__ export list (line 874)
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✓ PersonalityLearner(None) completes without NameError
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✓ PersonalityLearner with AdaptationRate config instantiates correctly
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✓ No new errors introduced
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## Technical Details
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The fix resolved a NameError that occurred when PersonalityLearner.__init__() attempted to use `AdaptationRate` on line 56 to configure the learning rate. The enum is defined in `src/memory/personality/adaptation.py` with three values:
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- SLOW = 0.01 (Conservative, stable changes)
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- MEDIUM = 0.05 (Balanced adaptation)
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- FAST = 0.1 (Rapid learning, less stable)
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The import chain now correctly exposes AdaptationRate for both internal use within the module and external imports via `from src.memory import AdaptationRate`.
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## Testing Results
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All instantiation tests passed:
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- Basic instantiation with None memory_manager
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- Instantiation with AdaptationRate enum configuration
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- Instance validation (not None assertion)
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- No NameError or other exceptions raised
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The personality learning pipeline is now unblocked and functional.
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