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Mai/.planning/phases/04-memory-context-management/04-GC-01-SUMMARY.md
Mai Development d389e178cb 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>
2026-01-28 19:18:18 -05:00

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

  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.