Document completion of PersonalityLearner initialization fix with all task results and verification details. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
2.3 KiB
phase, plan, name, status, started, completed
| phase | plan | name | status | started | completed |
|---|---|---|---|---|---|
| 04 | GC-01 | Fix PersonalityLearner Initialization | complete | 2026-01-29 00:15:00 UTC | 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
- AdaptationRate imported in src/memory/init.py
- AdaptationRate included in all export list
- 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
AdaptationRateto import from.personality.adaptation - Line 874: Added
AdaptationRateto all export list
- Line 22: Added
- 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.