Create data_processing/pathway_pipeline.py with:
- DateFilterConfig dataclass for date filter configuration
- DATE_FILTER_CONFIGS with 6 pre-defined combinations
- compute_date_ranges() for computing actual dates from config
- fetch_and_transform_data() for Snowflake fetch + transformations
- process_pathway_for_date_filter() using existing generate_icicle_chart()
- extract_denormalized_fields() to parse trust/directory/drugs from ids
- convert_to_records() for SQLite insertion
- process_all_date_filters() convenience function
- Verified all design tokens match spec exactly
- Confirmed responsive behavior via flex_wrap patterns
- Audited hover states and transitions
- Validated chart colorscale uses design system palette
- Add load_data() method to AppState that connects to SQLite database
- Populate available_drugs, available_directorates, available_indications from DB
- Detect latest date in dataset and set filter defaults accordingly
- Load KPI values: total_records, unique_patients, total_drugs, total_cost
- Add on_load handler to trigger data loading on page initialization
- Handle database errors gracefully with meaningful error messages
- Add chart_loading_skeleton() with animated bar chart and spinner
- Add chart_error_state() for displaying errors with guidance
- Add chart_empty_state() for when filters yield no results
- Add chart_ready_placeholder() for Phase 4 Plotly integration
- Rewrite chart_section() with 4-state rx.cond() logic
- Fix icon names (triangle-alert) and color references (SLATE_500)
This completes Phase 2 Layout Components.
- Add app_v2.py with basic Reflex app structure
- AppState class with placeholder state variables
- Layout components: top_bar, filter_section, kpi_row, chart_section
- Page layout matching DESIGN_SYSTEM.md structure
- Theme configured with design system colors
- Google Fonts for Inter and JetBrains Mono
Andrew Charlwood