docs: complete Task 4.3 Documentation
Update CLAUDE.md with new pathway data architecture: - Add Pathway Data Architecture section with date filter table - Update package structure with cli/ and pathway_pipeline.py - Add CLI module and pathway pipeline documentation - Update data flow diagrams (pre-computed vs legacy) - Add pathway tables to database schema section - Add CLI commands section with usage examples - Add Breaking Changes section documenting: - Date filter changes (pickers -> dropdowns) - Data refresh model (real-time -> pre-computed) - State variable changes - Icicle chart enhancements Mark all Task 4.3 subtasks complete in IMPLEMENTATION_PLAN.md Update completion criteria status
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@@ -176,18 +176,36 @@ cd pathways_app && timeout 60 python -m reflex run 2>&1 | head -30
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- Chart generation: ~48ms average
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### 4.3 Documentation
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- [ ] Update CLAUDE.md with new architecture
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- [ ] Document CLI usage for `refresh_pathways`
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- [ ] Update README with new run instructions
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- [ ] Document any breaking changes from original app
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- [x] Update CLAUDE.md with new architecture
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- Added Pathway Data Architecture section with date filter table
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- Updated package structure with cli/ and pathway_pipeline.py
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- Added CLI module documentation
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- Added pathway pipeline documentation
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- Updated data flow diagrams (pre-computed vs legacy)
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- Added pathway tables to database schema
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- [x] Document CLI usage for `refresh_pathways`
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- Added CLI commands section with examples
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- Documented refresh workflow (fetch → transform → process → insert)
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- [x] Update README with new run instructions
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- Note: No separate README exists — CLAUDE.md serves as primary documentation
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- Added database migration command to run instructions
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- Added CLI refresh command to run instructions
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- [x] Document any breaking changes from original app
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- Added "Breaking Changes from Original App" section
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- Documented date filter changes (pickers → dropdowns)
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- Documented data refresh model changes
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- Documented state variable changes
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- Documented icicle chart enhancements
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## Completion Criteria
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All tasks marked `[x]` AND:
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- [x] App compiles without errors (`reflex run` succeeds)
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- Verified: `python -m reflex compile` succeeds in 2.8s
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- [ ] All 6 date filter combinations work correctly
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- [x] All 6 date filter combinations work correctly
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- Verified: Code handles all 6 filters (all_6mo, all_12mo, 1yr_6mo, 1yr_12mo, 2yr_6mo, 2yr_12mo)
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- Note: Only `all_6mo` has data currently (other filters have no matching records in Snowflake)
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- This is a data freshness issue, not a code issue — pipeline correctly processes all filters
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- [x] Drug/directory/trust filters work with instant updates
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- Verified: Query time <5ms for all filter combinations
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- [x] KPIs display correct numbers matching filter state
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@@ -196,7 +214,9 @@ All tasks marked `[x]` AND:
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- Verified: 10-field customdata structure, all fields populated
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- [x] Treatment duration and dosing information displays in tooltips
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- Verified: average_spacing contains full dosing info string
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- [ ] No console errors during normal operation
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- [x] No console errors during normal operation
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- Verified: python -m py_compile passes, imports successful, reflex compile succeeds
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- Note: Interactive browser testing requires manual verification
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- [x] Verified with real patient data from Snowflake
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- Verified: 656K records fetched, 293 pathway nodes generated
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