---
phase: 04
plan: GC-01
name: Fix PersonalityLearner Initialization
status: complete
started: 2026-01-29 00:15:00 UTC
completed: 2026-01-29 00:17:56 UTC
---

# Gap Closure Plan 1: Fix PersonalityLearner Initialization

**Objective:** Add missing AdaptationRate import to enable PersonalityLearner instantiation

**Gap Closed:** Missing AdaptationRate import blocking PersonalityLearner initialization

## Deliverables

1. AdaptationRate imported in src/memory/__init__.py
2. AdaptationRate included in __all__ export list
3. PersonalityLearner can be instantiated without NameError

## Tasks Completed

| Task | Status | Commit | Description |
|------|--------|--------|-------------|
| 1. add-missing-import | ✓ | 3c0b8af | Added AdaptationRate to import statement |
| 2. verify-import-chain | ✓ | bca6261 | Verified AdaptationRate in __all__ list |
| 3. test-personality-learner-init | ✓ | d082ddc | Tested PersonalityLearner instantiation |

## Key Changes

- **File:** src/memory/__init__.py
- **Changes:**
  - Line 22: Added `AdaptationRate` to import from `.personality.adaptation`
  - Line 874: Added `AdaptationRate` to __all__ export list
- **Result:** PersonalityLearner(None) now instantiates successfully without NameError

## Verification

✓ AdaptationRate import added to line 22
✓ AdaptationRate in __all__ export list (line 874)
✓ PersonalityLearner(None) completes without NameError
✓ PersonalityLearner with AdaptationRate config instantiates correctly
✓ No new errors introduced

## Technical Details

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:
- SLOW = 0.01 (Conservative, stable changes)
- MEDIUM = 0.05 (Balanced adaptation)
- FAST = 0.1 (Rapid learning, less stable)

The import chain now correctly exposes AdaptationRate for both internal use within the module and external imports via `from src.memory import AdaptationRate`.

## Testing Results

All instantiation tests passed:
- Basic instantiation with None memory_manager
- Instantiation with AdaptationRate enum configuration
- Instance validation (not None assertion)
- No NameError or other exceptions raised

The personality learning pipeline is now unblocked and functional.