Resolution Report: Data Copilot Issues #186 - #190¶
This sprint addressed the five oldest open issues in the repository, all relating to the "Data Copilot" ecosystem.
Summary of Work¶
| Issue | Title | Status | Action Taken |
|---|---|---|---|
| #186 | Layered Text-to-SQL Architecture | Resolved | Verified architecture doc; enhanced skeleton.py with HITL and pruning logic. |
| #187 | MCP Tool/Data Standardization | Resolved | Verified integration matrix, security notes, and examples in data-copilot-mcp-tooling.md. |
| #188 | Agentic RAG + Hybrid Retrieval | Resolved | Verified planner logic and diagnostic examples in data-copilot-agentic-rag.md. |
| #189 | SQL Validation & Repair Guardrails | Resolved | Verified pipeline and policy checklist in data-copilot-sql-validation.md. |
| #190 | Answer Synthesis Schema | Resolved | Verified Pydantic schema and prompt contract in answer-synthesis-schema.md. |
Key Refinements (Issue #186)¶
The reference implementation docs/reference-implementations/data-copilot/skeleton.py was refined to explicitly demonstrate:
- Human-in-the-Loop (HITL) points for table and column approval.
- Schema Pruning logic that dynamically filters columns based on the intent's metrics and filters, significantly reducing token overhead for the final SQL generation.
Validation Results¶
- Catalog consistency: Passed
- KnowledgeOps contract: Passed
- Navigation links: Verified
- Reference script execution: Passed (Pydantic 2.x)
Readiness for Closure¶
All deliverables and acceptance criteria for issues #186, #187, #188, #189, and #190 have been met. These issues can now be formally closed.