Verify PersonalityLearner instantiation works correctly after AdaptationRate import fix. Tests confirm no NameError occurs. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
145 lines
5.4 KiB
Plaintext
145 lines
5.4 KiB
Plaintext
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PHASE 4 GAP CLOSURE PLANNING - COMPLETE
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Date: 2026-01-28
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Mode: Gap Closure (2 critical blockers identified and planned)
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Status: READY FOR EXECUTION
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CRITICAL GAPS IDENTIFIED
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Gap 1: Missing AdaptationRate Import
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File: src/memory/__init__.py
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Cause: AdaptationRate enum used but not imported
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Impact: PersonalityLearner cannot be instantiated
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Severity: CRITICAL - BLOCKING
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Gap 2: Missing SQLiteManager Methods
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File: src/memory/storage/sqlite_manager.py
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Missing: get_conversations_by_date_range(), get_conversation_messages()
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Impact: Personality learning pipeline cannot retrieve conversation data
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Severity: CRITICAL - BLOCKING
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GAP CLOSURE PLANS CREATED
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04-GC-01-PLAN.md
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Title: Fix PersonalityLearner Initialization
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Wave: 1
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Dependencies: None
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Files: src/memory/__init__.py
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Tasks: 3 (add import, verify exports, test initialization)
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04-GC-02-PLAN.md
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Title: Implement Missing Methods for Personality Learning Pipeline
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Wave: 1
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Dependencies: 04-GC-01 (soft)
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Files: src/memory/storage/sqlite_manager.py, tests/test_personality_learning.py
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Tasks: 4 (implement methods, verify integration, test end-to-end)
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EXECUTION SEQUENCE
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Phase 1 - Sequential or Parallel Execution:
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1. Execute 04-GC-01-PLAN.md
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2. Execute 04-GC-02-PLAN.md
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Phase 2 - Verification:
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3. Run integration tests
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4. Verify all must-haves checked
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5. Confirm "Personality layers learn from conversation patterns" requirement
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MUST-HAVES SUMMARY
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04-GC-01: AdaptationRate Import
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[ ] AdaptationRate imported in __init__.py
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[ ] AdaptationRate in __all__ export list
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[ ] PersonalityLearner instantiation works
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[ ] All config values (slow/medium/fast) work
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[ ] No NameError with AdaptationRate
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04-GC-02: SQLiteManager Methods
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[ ] get_conversations_by_date_range() implemented
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[ ] get_conversation_messages() implemented
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[ ] Methods handle edge cases
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[ ] Integration tests created
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[ ] learn_from_conversations() executes
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[ ] Patterns extracted successfully
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[ ] Layers created from patterns
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SUPPORTING DOCUMENTS
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GAP-CLOSURE-SUMMARY.md
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- Detailed gap analysis
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- Traceability to requirements
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- Risk assessment
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- Integration points
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04-GC-01-PLAN.md
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- Task 1: Add missing import
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- Task 2: Verify import chain
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- Task 3: Test initialization
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04-GC-02-PLAN.md
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- Task 1: Implement get_conversations_by_date_range()
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- Task 2: Implement get_conversation_messages()
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- Task 3: Verify method integration
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- Task 4: Test personality learning end-to-end
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KEY FINDINGS
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1. extract_conversation_patterns() method EXISTS
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- Located in src/memory/personality/pattern_extractor.py (lines 842-890)
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- Method signature and implementation are correct
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- Method works properly when called with message list
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2. Primary blocker is import issue
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- AdaptationRate not imported causes immediate NameError
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- This prevents PersonalityLearner from being created at all
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- Blocks access to pattern_extractor and other components
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3. Secondary blocker is missing data retrieval methods
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- get_conversations_by_date_range() - needed for learn_from_conversations()
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- get_conversation_messages() - needed to extract patterns from conversations
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4. All supporting infrastructure exists
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- PersonalityAdaptation class: complete (701 lines)
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- LayerManager: complete
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- Pattern extractors: complete
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- Database schema: supports required queries
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VERIFICATION PATHWAY
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After execution, the requirement:
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"Personality layers learn from conversation patterns"
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Will progress from: FAILED/BLOCKED
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To: VERIFIED
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Following the chain:
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1. AdaptationRate import fixed → PersonalityLearner can instantiate
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2. SQLiteManager methods added → Data retrieval pipeline works
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3. learn_from_conversations() executes → Patterns extracted
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4. Personality layers created → Requirement verified
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READY FOR EXECUTION
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All planning complete. Two focused gap closure plans ready for immediate execution.
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No additional research or investigation needed.
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Next step: Execute 04-GC-01-PLAN.md and 04-GC-02-PLAN.md
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