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Implement L1-L7 Context Tree Schema and DB Migration #15

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opened 2026-02-04 10:53:13 +09:00 by agentson · 0 comments
agentson commented 2026-02-04 10:53:13 +09:00
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Goal

Implement Pillar 2 (Multi-layered Context Management) foundation with 7-tier context tree.

Context Layers

  • L1 (Legacy): Cumulative trading history, core lessons learned
  • L2 (Annual): Yearly returns, performance metrics
  • L3 (Quarterly): Quarterly strategy adjustments, market phases
  • L4 (Monthly): Monthly portfolio rebalancing
  • L5 (Weekly): Weekly stock selection, sector rotation
  • L6 (Daily): Daily trade logs, market summaries
  • L7 (Real-time): Current positions, quotes, volatility

Implementation Tasks

  1. Define 7-tier context layer schema
  2. Design DB schema (contexts, context_metadata tables)
  3. Write migration script to map existing trades data to L6/L7
  4. Implement aggregation queries to generate L1-L5 initial data
  5. Write unit tests for CRUD operations per layer
  6. Validate data consistency across layers

Acceptance Criteria

  • All 7 layers have clear schema definitions
  • DB migration runs without errors
  • Sample data exists in each layer
  • Tests achieve >= 80% coverage
  • Documentation in docs/context-tree.md

Related to: Task #10, Pillar 2 (Multi-layered Context Management)

## Goal Implement Pillar 2 (Multi-layered Context Management) foundation with 7-tier context tree. ## Context Layers - **L1 (Legacy)**: Cumulative trading history, core lessons learned - **L2 (Annual)**: Yearly returns, performance metrics - **L3 (Quarterly)**: Quarterly strategy adjustments, market phases - **L4 (Monthly)**: Monthly portfolio rebalancing - **L5 (Weekly)**: Weekly stock selection, sector rotation - **L6 (Daily)**: Daily trade logs, market summaries - **L7 (Real-time)**: Current positions, quotes, volatility ## Implementation Tasks 1. Define 7-tier context layer schema 2. Design DB schema (contexts, context_metadata tables) 3. Write migration script to map existing trades data to L6/L7 4. Implement aggregation queries to generate L1-L5 initial data 5. Write unit tests for CRUD operations per layer 6. Validate data consistency across layers ## Acceptance Criteria - [ ] All 7 layers have clear schema definitions - [ ] DB migration runs without errors - [ ] Sample data exists in each layer - [ ] Tests achieve >= 80% coverage - [ ] Documentation in docs/context-tree.md Related to: Task #10, Pillar 2 (Multi-layered Context Management)
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Reference: jihoson/The-Ouroboros#15
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