fix(04-GC-01): test-personality-learner-init

Verify PersonalityLearner instantiation works correctly after AdaptationRate import fix. Tests confirm no NameError occurs.

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>

.planning/phases/04-memory-context-management/PLANNING-COMPLETE.txt

@@ -0,0 +1,144 @@
+================================================================================
+PHASE 4 GAP CLOSURE PLANNING - COMPLETE
+================================================================================
+
+Date: 2026-01-28
+Mode: Gap Closure (2 critical blockers identified and planned)
+Status: READY FOR EXECUTION
+
+================================================================================
+CRITICAL GAPS IDENTIFIED
+================================================================================
+
+Gap 1: Missing AdaptationRate Import
+  File: src/memory/__init__.py
+  Cause: AdaptationRate enum used but not imported
+  Impact: PersonalityLearner cannot be instantiated
+  Severity: CRITICAL - BLOCKING
+
+Gap 2: Missing SQLiteManager Methods  
+  File: src/memory/storage/sqlite_manager.py
+  Missing: get_conversations_by_date_range(), get_conversation_messages()
+  Impact: Personality learning pipeline cannot retrieve conversation data
+  Severity: CRITICAL - BLOCKING
+
+================================================================================
+GAP CLOSURE PLANS CREATED
+================================================================================
+
+04-GC-01-PLAN.md
+  Title: Fix PersonalityLearner Initialization
+  Wave: 1
+  Dependencies: None
+  Files: src/memory/__init__.py
+  Tasks: 3 (add import, verify exports, test initialization)
+  
+04-GC-02-PLAN.md
+  Title: Implement Missing Methods for Personality Learning Pipeline
+  Wave: 1
+  Dependencies: 04-GC-01 (soft)
+  Files: src/memory/storage/sqlite_manager.py, tests/test_personality_learning.py
+  Tasks: 4 (implement methods, verify integration, test end-to-end)
+
+================================================================================
+EXECUTION SEQUENCE
+================================================================================
+
+Phase 1 - Sequential or Parallel Execution:
+  1. Execute 04-GC-01-PLAN.md
+  2. Execute 04-GC-02-PLAN.md
+
+Phase 2 - Verification:
+  3. Run integration tests
+  4. Verify all must-haves checked
+  5. Confirm "Personality layers learn from conversation patterns" requirement
+
+================================================================================
+MUST-HAVES SUMMARY
+================================================================================
+
+04-GC-01: AdaptationRate Import
+  [ ] AdaptationRate imported in __init__.py
+  [ ] AdaptationRate in __all__ export list
+  [ ] PersonalityLearner instantiation works
+  [ ] All config values (slow/medium/fast) work
+  [ ] No NameError with AdaptationRate
+
+04-GC-02: SQLiteManager Methods
+  [ ] get_conversations_by_date_range() implemented
+  [ ] get_conversation_messages() implemented
+  [ ] Methods handle edge cases
+  [ ] Integration tests created
+  [ ] learn_from_conversations() executes
+  [ ] Patterns extracted successfully
+  [ ] Layers created from patterns
+
+================================================================================
+SUPPORTING DOCUMENTS
+================================================================================
+
+GAP-CLOSURE-SUMMARY.md
+  - Detailed gap analysis
+  - Traceability to requirements
+  - Risk assessment
+  - Integration points
+
+04-GC-01-PLAN.md
+  - Task 1: Add missing import
+  - Task 2: Verify import chain
+  - Task 3: Test initialization
+
+04-GC-02-PLAN.md
+  - Task 1: Implement get_conversations_by_date_range()
+  - Task 2: Implement get_conversation_messages()
+  - Task 3: Verify method integration
+  - Task 4: Test personality learning end-to-end
+
+================================================================================
+KEY FINDINGS
+================================================================================
+
+1. extract_conversation_patterns() method EXISTS
+   - Located in src/memory/personality/pattern_extractor.py (lines 842-890)
+   - Method signature and implementation are correct
+   - Method works properly when called with message list
+
+2. Primary blocker is import issue
+   - AdaptationRate not imported causes immediate NameError
+   - This prevents PersonalityLearner from being created at all
+   - Blocks access to pattern_extractor and other components
+
+3. Secondary blocker is missing data retrieval methods
+   - get_conversations_by_date_range() - needed for learn_from_conversations()
+   - get_conversation_messages() - needed to extract patterns from conversations
+
+4. All supporting infrastructure exists
+   - PersonalityAdaptation class: complete (701 lines)
+   - LayerManager: complete
+   - Pattern extractors: complete
+   - Database schema: supports required queries
+
+================================================================================
+VERIFICATION PATHWAY
+================================================================================
+
+After execution, the requirement:
+  "Personality layers learn from conversation patterns"
+  
+Will progress from: FAILED/BLOCKED
+To: VERIFIED
+
+Following the chain:
+  1. AdaptationRate import fixed → PersonalityLearner can instantiate
+  2. SQLiteManager methods added → Data retrieval pipeline works
+  3. learn_from_conversations() executes → Patterns extracted
+  4. Personality layers created → Requirement verified
+
+================================================================================
+READY FOR EXECUTION
+================================================================================
+
+All planning complete. Two focused gap closure plans ready for immediate execution.
+No additional research or investigation needed.
+
+Next step: Execute 04-GC-01-PLAN.md and 04-GC-02-PLAN.md