From 9943e857611a9f2db65a4dafceb802581e215eea Mon Sep 17 00:00:00 2001 From: Andrew Charlwood Date: Thu, 5 Feb 2026 14:06:16 +0000 Subject: [PATCH] feat: add ref_drug_snomed_mapping schema (Task 1.1) - Add REF_DRUG_SNOMED_MAPPING_SCHEMA with 11 columns for direct SNOMED mapping - Add 5 indexes for lookup performance (drug, cleaned_drug, snomed, search_term, composite) - Add create_drug_snomed_mapping_table() helper function - Update helper functions (drop, get_counts, verify_exists) to include new table - Table is included in REFERENCE_TABLES_SCHEMA and created by migration --- IMPLEMENTATION_PLAN.md | 370 ++++++------ data_processing/schema.py | 82 ++- progress.txt | 1165 +++---------------------------------- 3 files changed, 346 insertions(+), 1271 deletions(-) diff --git a/IMPLEMENTATION_PLAN.md b/IMPLEMENTATION_PLAN.md index dcfe2ff..911f27a 100644 --- a/IMPLEMENTATION_PLAN.md +++ b/IMPLEMENTATION_PLAN.md @@ -1,218 +1,232 @@ -# Implementation Plan - UI Redesign Phase +# Implementation Plan - Direct SNOMED Indication Mapping ## Project Overview -Redesign the HCD Analysis application with a modern SaaS-style interface. The current NHS-dashboard style is functional but dated. This phase focuses on: +Extend the pathway analysis application to use direct SNOMED code matching from GP records to: +1. **Improve directorate assignment** - Use diagnosis-based directorate as primary method +2. **Add indication-based icicle chart** - New chart type showing Trust → Search_Term → Drug → Pathway -1. **Modern SaaS aesthetic** - Clean, ambitious design that looks like a premium product -2. **Maximized chart space** - The icicle chart is the hero; everything else supports it -3. **Compact controls** - Filters and KPIs should be efficient, not sprawling -4. **Full-width layout** - Use the entire viewport width +### Data Source +`data/drug_snomed_mapping_enriched.csv` - 163K rows mapping: +- Drug → Indication → TA_ID → Search_Term → SNOMEDCode → PrimaryDirectorate -**Design Philosophy**: -- Thematically aligned with blue color scheme but NOT constrained by NHS branding -- Think Stripe, Linear, Vercel - clean, spacious, confident -- Data visualization is the star; chrome should be minimal - -**Source Files**: -- `pathways_app/pathways_app.py` - Main Reflex application -- `pathways_app/styles.py` - Design tokens and style helpers -- `DESIGN_SYSTEM.md` - Design specifications +### Key Design Decisions +| Aspect | Decision | +|--------|----------| +| Primary directorate method | Diagnosis-based (SNOMED match → PrimaryDirectorate) | +| Fallback | department_identification() chain | +| Grouping level | `Search_Term` column (187 unique values) | +| Chart types | Two: "By Directory" and "By Indication" (user toggle) | +| No-match display | Show assigned directorate in indication chart (mixed labels) | +| Multiple matches | Use most recent SNOMED code by GP record date | +| Data storage | SQLite table `ref_drug_snomed_mapping`, accessed at ingestion | ## Quality Checks Run after each task: ```bash -# Syntax check for Python files -python -m py_compile pathways_app/pathways_app.py +# Syntax check +python -m py_compile # Import verification -python -c "from pathways_app.pathways_app import app" +python -c "from data_processing.diagnosis_lookup import *" +python -c "from data_processing.pathway_pipeline import *" -# Reflex compile +# For Reflex changes python -m reflex compile ``` -## Phase 5: UI Redesign +--- -### 5.1 Update Design System for Modern SaaS -- [x] Update `DESIGN_SYSTEM.md` with new specifications: - - Reduce top bar height from 64px to 48px - - Define compact filter row (single horizontal strip) - - Define compact KPI card dimensions (reduce padding, font sizes) - - Add full-width chart container specs -- [x] Update `pathways_app/styles.py` tokens to match: - - Typography: DISPLAY 32→28px, H1 24→18px, H2 20→16px, CAPTION 12→11px - - Spacing: SM 8→6px, MD 12→8px, LG 16→12px, XL 24→16px, XXL 32→24px, XXXL 48→32px - - Shadows: Lighter values (0.04, 0.06, 0.08 opacity) - - Colors: Modernized semantic colors (SUCCESS #10B981, etc.) - - Layout: TOP_BAR_HEIGHT 64→48px, FILTER_STRIP_HEIGHT 48px -- [x] Add new style helpers: - - `compact_kpi_card_style()` - 12px padding, 24px value font - - `compact_kpi_value_style()` / `compact_kpi_label_style()` - matching text styles - - `kpi_badge_style()` - inline pill/badge variant (zero height impact) - - `filter_strip_style()` - 48px horizontal container - - `compact_dropdown_trigger_style()` - 32px height triggers - - `searchable_dropdown_panel_style()` / `searchable_dropdown_item_style()` - compact items - - `chart_container_style()` / `chart_wrapper_style()` - full-width, flex-grow - - `top_bar_style()` / `top_bar_tab_style()` / `logo_style()` - 48px top bar -- [x] Verify: `python -c "from pathways_app.styles import *"` - PASSED +## Phase 1: Data Infrastructure -### 5.2 Compact Filter Section (50-67% height reduction) -- [x] Redesign filter_section() as a single horizontal strip: - - All filters in ONE row: Date dropdowns | Drugs | Indications | Directorates - - Remove "Filters" header (saves vertical space) - - Use smaller dropdown triggers (height: 32px instead of 40px) - - Use icon-only labels where possible -- [x] Reduce searchable_dropdown() panel heights: - - Max item list height: 150px (was 200px) - - Smaller search input (size="1" instead of size="2") - - Tighter spacing (6px/8px gaps via Spacing.SM/MD) -- [x] Make filter dropdowns collapsible/expandable (optional advanced feature) - - Note: This was already implemented - dropdowns open/close on click -- [x] Verify: Filter section height ≤ 60px when collapsed - - Implemented: 48px filter strip via filter_strip_style() - - Note: Visual verification with reflex run recommended +### 1.1 Create SQLite Table for SNOMED Mapping +- [x] Add `REF_DRUG_SNOMED_MAPPING_SCHEMA` to `data_processing/schema.py`: + - Columns: drug_name, indication, ta_id, search_term, snomed_code, snomed_description, cleaned_drug_name, primary_directorate, all_directorates + - Index on: cleaned_drug_name, snomed_code, search_term +- [x] Add `create_drug_snomed_mapping_table()` helper function +- [x] Add to `ALL_TABLES_SCHEMA` and migration +- [x] Verify: `python -m data_processing.migrate` creates table -### 5.3 Compact KPI Cards (50% reduction) -- [x] Reduce KPI card dimensions: - - Padding: 12px (was 24px) - - Value font size: 24px (was 32px) - - Label font size: 11px (was 12px) -- [x] Make KPIs a single compact row: - - All 4 KPIs in horizontal strip - - Minimal vertical footprint - - Consider inline layout: "12,345 patients | £45.2M cost | 89 drugs | 7 trusts" -- [x] Alternative: KPI badges/pills instead of cards - - Implemented kpi_badge() and kpi_badges() functions - - KPIs are now inline badges integrated into the filter strip - - Zero additional vertical height (Option A from design system) -- [x] Verify: KPI row height ≤ 48px - - KPIs now embedded in filter strip - no separate row needed - - reflex compile succeeds in 15s +### 1.2 Load Enriched Mapping Data +- [ ] Create `data_processing/load_snomed_mapping.py` script: + - Read `data/drug_snomed_mapping_enriched.csv` + - Insert into `ref_drug_snomed_mapping` table + - Log: row count, unique drugs, unique search terms +- [ ] Add CLI entry point: `python -m data_processing.load_snomed_mapping` +- [ ] Verify: Query confirms 163K+ rows, 187 search terms -### 5.4 Full-Width Chart Layout -- [x] Remove PAGE_MAX_WIDTH constraint for chart container - - Removed from main_content() - now uses 100% width with 16px padding -- [x] Chart should stretch to viewport width (with small padding: 16px each side) - - Using padding_x=Spacing.XL (16px) in main_content() -- [x] Update chart height calculation: - - Using calc(100vh - 152px) for chart height - - 152px = 48px top bar + 48px filter strip + 16px padding + 40px chart header - - Minimum height: 500px preserved -- [x] Update Plotly layout: - - Removed fixed height=600, using autosize=True - - Reduced margins to t:40, l:8, r:8, b:24 per DESIGN_SYSTEM.md -- [x] Verify: Chart fills available space on 1920x1080 display - - Implemented: calc(100vh - 152px) height, width="100%" - - Note: Visual verification with reflex run recommended +### 1.3 Extend Diagnosis Lookup Module +- [ ] Add `get_drug_snomed_codes(drug_name)` to `diagnosis_lookup.py`: + - Query `ref_drug_snomed_mapping` for all SNOMED codes for a drug + - Return list of (snomed_code, snomed_description, search_term, primary_directorate) +- [ ] Add `patient_has_indication_direct(patient_pseudonym, snomed_codes, connector)`: + - Query `PrimaryCareClinicalCoding` directly for exact SNOMED code matches + - Return most recent match by EventDateTime + - Return: (matched_code, search_term, primary_directorate, event_date) or None +- [ ] Verify: Unit test with known drug/patient pair -### 5.5 Top Bar Refinement -- [x] Reduce top bar height to 48px (was 64px) - - Using `top_bar_style()` which sets `height: TOP_BAR_HEIGHT` (48px) -- [x] Simplify chart tabs - smaller pills or just text links - - Using `top_bar_tab_style()` for 28px height pills with tighter spacing -- [x] Consider moving data freshness indicator inline with filters - - Simplified to single line: "X records · Refreshed: 2m ago" - - Removed max_width constraint for full-width bar -- [x] Make logo smaller (28px instead of 36px) - - Using `logo_style()` for 28px height -- [x] Verify: Top bar is minimal but functional - - Syntax check: PASS - - Import check: PASS - - Reflex compile: PASS (1.7s) +--- -### 5.6 Visual Polish -- [x] Add subtle hover states to interactive elements - - KPI badges: subtle lift and shadow on hover - - Top bar tabs: slightly brighter hover (0.15 opacity vs 0.1) - - Dropdown triggers: background color change + border highlight on hover - - Dropdown items: background color change on hover - - Buttons: enhanced hover with transform/shadow -- [x] Ensure consistent focus rings for accessibility - - Dropdown triggers: 2px Pale Blue focus ring - - Top bar tabs: 2px white semi-transparent focus ring - - Dropdown items: inset Primary border focus ring - - Buttons (primary/secondary/ghost): consistent Pale Blue focus rings - - All focus states use _focus and _focus_visible for keyboard nav -- [x] Test responsive behavior at common breakpoints (1366, 1920, 2560px widths) - - Note: Layout uses calc(100vh - Xpx) for height, flexbox for width - - Full-width chart with 16px padding scales to any viewport width - - Visual verification required with `reflex run` -- [x] Remove any unused styles from styles.py - - Removed compact_kpi_card_style, compact_kpi_value_style, compact_kpi_label_style (unused Option B) - - Cleaned up pathways_app.py imports: removed card_style, input_style, button_ghost_style, chart_container_style, chart_wrapper_style, PAGE_MAX_WIDTH, PAGE_PADDING, text_h3 - - Kept kpi_value_style, kpi_label_style for legacy kpi_card fallback -- [x] Verify: No visual regressions, app looks cohesive - - Syntax check: PASS - - Import check: PASS - - Reflex compile: PASS (14.6s) +## Phase 2: Pathway Processing Updates + +### 2.1 Update Directorate Assignment Logic +- [ ] Modify `tools/data.py` `department_identification()` or create wrapper: + - Add `get_directorate_from_diagnosis(upid, drug_name, connector)` function + - Logic: Try diagnosis-based first → fallback to department_identification() + - Return: (directorate, source) where source is "DIAGNOSIS" or "FALLBACK" +- [ ] Track assignment source for metrics (how many diagnosis-based vs fallback) +- [ ] Verify: Test with sample patient data + +### 2.2 Add Chart Type Support to Schema +- [ ] Add `chart_type` column to `pathway_nodes` table: + - Values: "directory" (existing), "indication" (new) + - Update schema in `data_processing/schema.py` +- [ ] Update `pathway_date_filters` or create `pathway_chart_types` reference table +- [ ] Verify: Migration adds column, existing data defaults to "directory" + +### 2.3 Create Indication Pathway Processing +- [ ] Add `process_indication_pathways()` to `pathway_pipeline.py`: + - Group by: Trust → Search_Term → Drug → Pathway + - For unmatched patients: use directorate name as Search_Term fallback + - Output: Same structure as directory pathways but with indication grouping +- [ ] Add `extract_indication_fields()` for denormalized columns: + - Extract: trust_name, search_term (or fallback_directorate), drug_sequence +- [ ] Verify: Process sample data, check hierarchy structure + +--- + +## Phase 3: CLI & Data Refresh Updates + +### 3.1 Update Refresh Command for Dual Chart Types +- [ ] Modify `cli/refresh_pathways.py`: + - Process both "directory" and "indication" chart types + - For each of 6 date filters: generate 2 chart datasets + - Total: 12 pathway datasets (6 dates × 2 chart types) +- [ ] Add `--chart-type` argument: "all" (default), "directory", "indication" +- [ ] Update progress logging to show both chart types +- [ ] Verify: Dry run shows both chart types being processed + +### 3.2 Integrate Diagnosis-Based Directorate in Pipeline +- [ ] Update `fetch_and_transform_data()` to include diagnosis lookup: + - After UPID creation, batch lookup SNOMED matches for all patients + - Store: matched_search_term, matched_directorate, match_source +- [ ] Handle Snowflake connection for GP record queries (batched for performance) +- [ ] Log coverage: X% diagnosis-matched, Y% fallback +- [ ] Verify: Test refresh with --dry-run, check coverage stats + +### 3.3 Test Full Refresh Pipeline +- [ ] Run `python -m cli.refresh_pathways` with real data +- [ ] Verify pathway_nodes table has both chart_type values +- [ ] Verify indication chart has expected hierarchy (Trust → SearchTerm → Drug) +- [ ] Verify unmatched patients appear with directorate fallback label +- [ ] Document: Processing time, record counts, coverage percentages + +--- + +## Phase 4: Reflex UI Updates + +### 4.1 Add Chart Type State +- [ ] Add state variables to `AppState`: + - `selected_chart_type: str = "directory"` (options: "directory", "indication") + - `chart_type_options: list[dict]` for dropdown +- [ ] Add `set_chart_type()` event handler +- [ ] Update `load_pathway_data()` to filter by chart_type +- [ ] Verify: State changes correctly, data queries include chart_type filter + +### 4.2 Add Chart Type Toggle UI +- [ ] Create `chart_type_toggle()` component: + - Radio buttons or segmented control: "By Directory" | "By Indication" + - Place in filter strip or chart header area +- [ ] Wire to `set_chart_type()` handler +- [ ] Verify: Toggle switches chart data, UI updates reactively + +### 4.3 Update Chart Display for Indication Labels +- [ ] Ensure icicle chart handles mixed labels: + - Search_Term labels (e.g., "rheumatoid arthritis") for matched patients + - Directorate labels (e.g., "RHEUMATOLOGY (no GP dx)") for unmatched +- [ ] Update hover templates if needed for indication context +- [ ] Verify: Chart renders correctly with both label types + +--- + +## Phase 5: Validation & Documentation + +### 5.1 Measure Coverage Improvement +- [ ] Compare match rates: cluster-only vs cluster+direct SNOMED +- [ ] Generate report: % of patients with diagnosis-based directorate +- [ ] Identify drugs with best/worst coverage improvement +- [ ] Document results in progress.txt + +### 5.2 End-to-End Validation +- [ ] Run full app with both chart types +- [ ] Verify chart toggle works correctly +- [ ] Verify filter interactions (drugs, directorates) work for both types +- [ ] Verify KPIs update correctly for both chart types +- [ ] Test at multiple viewport sizes + +### 5.3 Update Documentation +- [ ] Update CLAUDE.md with new architecture +- [ ] Document new CLI arguments +- [ ] Document chart_type toggle behavior +- [ ] Update data flow diagrams + +--- ## Completion Criteria All tasks marked `[x]` AND: -- [x] App compiles without errors (`reflex compile` succeeds) - - Verified: 14.6s compile time, no errors -- [x] Filter section height ≤ 60px (measured visually) - - Implemented: 48px filter strip with inline KPI badges -- [x] KPI row height ≤ 48px (measured visually) - - Implemented: Zero extra height (KPIs as inline badges in filter strip) -- [x] Top bar height = 48px - - Verified: Uses TOP_BAR_HEIGHT constant = "48px" -- [x] Chart stretches to full viewport width (minus 32px total padding) - - Implemented: width="100%", padding_x=Spacing.XL (16px) -- [x] Chart fills remaining vertical space (min 500px) - - Implemented: calc(100vh - 152px), min_height="500px" -- [x] Design feels like modern SaaS, not NHS dashboard - - Implemented: Compact filters, inline KPI badges, full-width chart - - Implemented: Tighter spacing, smaller typography, lighter shadows - - Note: Visual verification with reflex run recommended -- [x] All interactive elements have appropriate hover/focus states - - Implemented in Task 5.6: hover/focus for buttons, dropdowns, tabs, badges +- [ ] App compiles without errors (`reflex compile` succeeds) +- [ ] Both chart types generate pathway data (12 total: 6 dates × 2 types) +- [ ] Chart type toggle switches between Directory and Indication views +- [ ] Diagnosis-based directorate is primary method with fallback working +- [ ] Unmatched patients show in indication chart with directorate fallback label +- [ ] Coverage metrics logged (% diagnosis-matched vs fallback) +- [ ] All filters work correctly for both chart types +- [ ] Performance acceptable (< 10 min full refresh, < 500ms filter change) + +--- ## Reference -### Current Layout (to be improved) +### Current Pathway Hierarchy (Directory-based) ``` -┌─────────────────────────────────────────────────────────────────┐ -│ Top Bar (64px) - Logo, Tabs, Freshness │ -├─────────────────────────────────────────────────────────────────┤ -│ Filter Section (~200px) - Headers, Date dropdowns, Multi-select│ -├─────────────────────────────────────────────────────────────────┤ -│ KPI Cards (~100px) - 4 large cards in row │ -├─────────────────────────────────────────────────────────────────┤ -│ Chart (~600px fixed) - Constrained width │ -└─────────────────────────────────────────────────────────────────┘ +Root (N&W ICS) +└── Trust (NNUH, QEH, JPH, etc.) + └── Directory (RHEUMATOLOGY, OPHTHALMOLOGY, etc.) + └── Drug (ADALIMUMAB, RANIBIZUMAB, etc.) + └── Pathway (drug sequences) ``` -### Target Layout +### New Pathway Hierarchy (Indication-based) ``` -┌─────────────────────────────────────────────────────────────────┐ -│ Logo │ Tabs │ │ Freshness │ 48px -├─────────────────────────────────────────────────────────────────┤ -│ [Date▾] [Date▾] [Drugs▾] [Indications▾] [Directories▾] │ KPIs │ 48-60px -├─────────────────────────────────────────────────────────────────┤ -│ │ -│ CHART │ flex-grow -│ (full width) │ -│ │ -└─────────────────────────────────────────────────────────────────┘ +Root (N&W ICS) +└── Trust (NNUH, QEH, JPH, etc.) + └── Search_Term (rheumatoid arthritis, macular degeneration, etc.) + │ OR Directorate (RHEUMATOLOGY - for unmatched patients) + └── Drug (ADALIMUMAB, RANIBIZUMAB, etc.) + └── Pathway (drug sequences) ``` -### Key Measurements -| Element | Current | Target | -|---------|---------|--------| -| Top bar | 64px | 48px | -| Filter section | ~200px | ≤60px | -| KPI row | ~100px | ≤48px (or merged with filters) | -| Chart | 600px fixed, constrained width | flex-grow, full width | -| Total overhead | ~364px | ~156px (57% reduction) | - ### Key Files | File | Purpose | |------|---------| -| `pathways_app/pathways_app.py` | Main Reflex application | -| `pathways_app/styles.py` | Design tokens and style helpers | -| `DESIGN_SYSTEM.md` | Design specifications | +| `data_processing/schema.py` | SQLite schema for ref_drug_snomed_mapping | +| `data_processing/diagnosis_lookup.py` | Direct SNOMED lookup functions | +| `data_processing/pathway_pipeline.py` | Indication pathway processing | +| `cli/refresh_pathways.py` | CLI for dual chart type refresh | +| `pathways_app/pathways_app.py` | Reflex UI with chart type toggle | +| `data/drug_snomed_mapping_enriched.csv` | Source mapping data | + +### Expected Data Volumes + +| Metric | Expected | +|--------|----------| +| SNOMED mapping rows | ~163K | +| Unique Search_Terms | 187 | +| Unique drugs | ~364 | +| Pathway nodes (directory, per date filter) | ~300 | +| Pathway nodes (indication, per date filter) | ~400-600 (more granular) | +| Total pathway nodes (6 dates × 2 types) | ~4,000-5,000 | diff --git a/data_processing/schema.py b/data_processing/schema.py index e3915fa..da17f12 100644 --- a/data_processing/schema.py +++ b/data_processing/schema.py @@ -115,6 +115,43 @@ CREATE INDEX IF NOT EXISTS idx_ref_drug_indication_clusters_cluster ON ref_drug_ CREATE INDEX IF NOT EXISTS idx_ref_drug_indication_clusters_indication ON ref_drug_indication_clusters(indication); """ +REF_DRUG_SNOMED_MAPPING_SCHEMA = """ +-- Direct SNOMED code mapping from drug to indication to GP diagnosis codes +-- Source: data/drug_snomed_mapping_enriched.csv (163K rows) +-- Used for direct GP record matching to assign diagnosis-based directorates +-- and to support indication-based pathway hierarchy (Trust → Search_Term → Drug → Pathway) +CREATE TABLE IF NOT EXISTS ref_drug_snomed_mapping ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + drug_name TEXT NOT NULL, -- Original drug name from mapping + indication TEXT NOT NULL, -- Specific indication (603 unique values) + ta_id TEXT, -- NICE TA reference (e.g., TA568) + search_term TEXT NOT NULL, -- Simplified grouping (187 unique values) + snomed_code TEXT NOT NULL, -- SNOMED CT code for GP record matching + snomed_description TEXT, -- SNOMED code description + cleaned_drug_name TEXT NOT NULL, -- Standardized drug name for matching + primary_directorate TEXT, -- Primary directorate for this indication + all_directorates TEXT, -- Pipe-separated list of valid directorates + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + UNIQUE(drug_name, indication, snomed_code) +); + +-- Index for looking up SNOMED codes by drug name (most common access pattern) +CREATE INDEX IF NOT EXISTS idx_ref_drug_snomed_mapping_drug ON ref_drug_snomed_mapping(drug_name); + +-- Index for looking up by cleaned drug name (standardized matching) +CREATE INDEX IF NOT EXISTS idx_ref_drug_snomed_mapping_cleaned ON ref_drug_snomed_mapping(cleaned_drug_name); + +-- Index for looking up by SNOMED code (reverse lookup from GP record) +CREATE INDEX IF NOT EXISTS idx_ref_drug_snomed_mapping_snomed ON ref_drug_snomed_mapping(snomed_code); + +-- Index for grouping by search_term (indication-based hierarchy) +CREATE INDEX IF NOT EXISTS idx_ref_drug_snomed_mapping_search_term ON ref_drug_snomed_mapping(search_term); + +-- Composite index for drug + snomed code (common lookup pattern) +CREATE INDEX IF NOT EXISTS idx_ref_drug_snomed_mapping_drug_snomed + ON ref_drug_snomed_mapping(cleaned_drug_name, snomed_code); +""" + # ============================================================================= # Pathway Data Architecture Schemas @@ -477,6 +514,8 @@ REFERENCE_TABLES_SCHEMA = f""" {REF_DRUG_DIRECTORY_MAP_SCHEMA} {REF_DRUG_INDICATION_CLUSTERS_SCHEMA} + +{REF_DRUG_SNOMED_MAPPING_SCHEMA} """ FACT_TABLES_SCHEMA = f""" @@ -535,10 +574,26 @@ def drop_reference_tables(conn: sqlite3.Connection) -> None: DROP TABLE IF EXISTS ref_directories; DROP TABLE IF EXISTS ref_drug_directory_map; DROP TABLE IF EXISTS ref_drug_indication_clusters; + DROP TABLE IF EXISTS ref_drug_snomed_mapping; """) logger.info("Reference tables dropped") +def create_drug_snomed_mapping_table(conn: sqlite3.Connection) -> None: + """ + Create the ref_drug_snomed_mapping table for direct SNOMED code mapping. + + This table stores mappings from drugs to SNOMED codes for GP record matching, + enabling diagnosis-based directorate assignment and indication-based pathways. + + Args: + conn: SQLite database connection. + """ + logger.info("Creating ref_drug_snomed_mapping table...") + conn.executescript(REF_DRUG_SNOMED_MAPPING_SCHEMA) + logger.info("ref_drug_snomed_mapping table created successfully") + + def get_reference_table_counts(conn: sqlite3.Connection) -> dict[str, int]: """ Get row counts for all reference tables. @@ -549,13 +604,23 @@ def get_reference_table_counts(conn: sqlite3.Connection) -> dict[str, int]: Returns: Dictionary mapping table name to row count. """ - tables = ["ref_drug_names", "ref_organizations", "ref_directories", "ref_drug_directory_map", "ref_drug_indication_clusters"] + tables = [ + "ref_drug_names", + "ref_organizations", + "ref_directories", + "ref_drug_directory_map", + "ref_drug_indication_clusters", + "ref_drug_snomed_mapping", + ] counts = {} for table in tables: - cursor = conn.execute(f"SELECT COUNT(*) FROM {table}") - result = cursor.fetchone() - counts[table] = result[0] if result else 0 + try: + cursor = conn.execute(f"SELECT COUNT(*) FROM {table}") + result = cursor.fetchone() + counts[table] = result[0] if result else 0 + except sqlite3.OperationalError: + counts[table] = 0 return counts @@ -570,7 +635,14 @@ def verify_reference_tables_exist(conn: sqlite3.Connection) -> list[str]: Returns: List of missing table names. Empty list means all tables exist. """ - required_tables = ["ref_drug_names", "ref_organizations", "ref_directories", "ref_drug_directory_map", "ref_drug_indication_clusters"] + required_tables = [ + "ref_drug_names", + "ref_organizations", + "ref_directories", + "ref_drug_directory_map", + "ref_drug_indication_clusters", + "ref_drug_snomed_mapping", + ] missing = [] for table in required_tables: diff --git a/progress.txt b/progress.txt index 9c6383d..00c839c 100644 --- a/progress.txt +++ b/progress.txt @@ -1,1116 +1,105 @@ -# Progress Log - Pathway Data Architecture +# Progress Log - Direct SNOMED Indication Mapping ## Project Context -This project extends the existing Reflex UI redesign (`pathways_app/app_v2.py`) with pre-computed pathway data from Snowflake. The current app uses a simplified `prepare_chart_data()` that only does Trust → Directory → Drug aggregation. The goal is to support full sequential patient treatment pathways with treatment statistics. +This project extends the existing HCD Pathway Analysis application with direct SNOMED code matching from GP records. The previous project (Phases 1-5) established the pre-computed pathway architecture and modern UI. This phase adds: + +1. **Diagnosis-based directorate assignment** - Primary method using GP SNOMED codes +2. **Indication-based icicle chart** - New chart type showing Trust → Search_Term → Drug → Pathway ## Key Files Reference **Existing (reuse these):** -- `analysis/pathway_analyzer.py` - Has `prepare_data()`, `calculate_statistics()`, `build_hierarchy()`, `generate_icicle_chart()` -- `visualization/plotly_generator.py` - Has chart generation with full customdata structure -- `data_processing/snowflake_connector.py` - Snowflake connection with SSO auth -- `tools/data.py` - `patient_id()`, `drug_names()`, `department_identification()` -- `data_processing/schema.py` - Existing SQLite schema +- `data_processing/schema.py` - SQLite schema (add new table) +- `data_processing/diagnosis_lookup.py` - Existing cluster-based lookup (extend with direct SNOMED) +- `data_processing/pathway_pipeline.py` - Pathway processing (add indication type) +- `cli/refresh_pathways.py` - CLI refresh command (add chart type support) +- `pathways_app/pathways_app.py` - Reflex app (add chart type toggle) +- `tools/data.py` - Data transformations including department_identification() -**To create:** -- `data_processing/pathway_pipeline.py` - New pathway processing pipeline -- `cli/refresh_pathways.py` - CLI command for data refresh +**New data:** +- `data/drug_snomed_mapping_enriched.csv` - 163K rows, 187 Search_Terms, 364 drugs ## Known Patterns -### Pathway ids format -The `ids` column in ice_df contains hierarchical paths like: -- "Norfolk & Waveney ICS" (root) -- "Norfolk & Waveney ICS|NNUH" (trust) -- "Norfolk & Waveney ICS|NNUH|OPHTHALMOLOGY" (directory) -- "Norfolk & Waveney ICS|NNUH|OPHTHALMOLOGY|RANIBIZUMAB" (drug) -- "Norfolk & Waveney ICS|NNUH|OPHTHALMOLOGY|RANIBIZUMAB|AFLIBERCEPT" (pathway) +### SNOMED Mapping Structure +The enriched mapping CSV has columns: +- Drug, Indication, TA_ID (from NICE TAs) +- Search_Term (simplified grouping, 187 unique values) +- SNOMEDCode, SNOMEDDescription +- CleanedDrugName, PrimaryDirectorate, AllDirectorates -### Date filter combinations -6 pre-defined combinations stored in `pathway_date_filters` table: -- all_6mo (default), all_12mo, 1yr_6mo, 1yr_12mo, 2yr_6mo, 2yr_12mo +### Direct SNOMED Lookup Logic +For a patient on drug X: +1. Get all SNOMED codes for that drug from ref_drug_snomed_mapping +2. Query PrimaryCareClinicalCoding for those codes (patient's GP record) +3. If match found → use Search_Term and PrimaryDirectorate from matched row +4. If no match → fall back to department_identification() +5. Use most recent SNOMED code by EventDateTime if multiple matches -### Expected data volumes -- ~440K intervention records -- ~35K patients -- ~6-12 minutes for full refresh (6 date combinations) +### Chart Type Architecture +- `chart_type` column in pathway_nodes: "directory" or "indication" +- 12 total pathway datasets: 6 date filters × 2 chart types +- Indication chart: mixed labels (Search_Term for matched, Directorate for unmatched) + +### Date Filter Combinations +| ID | Initiated | Last Seen | Default | +|----|-----------|-----------|---------| +| `all_6mo` | All years | Last 6 months | Yes | +| `all_12mo` | All years | Last 12 months | No | +| `1yr_6mo` | Last 1 year | Last 6 months | No | +| `1yr_12mo` | Last 1 year | Last 12 months | No | +| `2yr_6mo` | Last 2 years | Last 6 months | No | +| `2yr_12mo` | Last 2 years | Last 12 months | No | + +### Expected Volumes +- SNOMED mapping: 163K rows +- Search_Terms: 187 unique +- Pathway nodes per date filter: ~300 (directory), ~400-600 (indication) --- ## Iteration Log -## Iteration 1 — 2026-02-04 -### Task: 1.1 Extend Database Schema +## Iteration 1 — 2026-02-05 +### Task: 1.1 Create SQLite Table for SNOMED Mapping ### Why this task: -- Foundation task with no dependencies — everything else needs the schema first -- Task 1.2 (Pipeline Module) and 1.3 (Migration Script) both depend on having schema constants defined -- Logical starting point for a new project +- First task in Phase 1 (Data Infrastructure) — all other phases depend on having the data layer in place +- No external dependencies — pure schema definition work +- Follows "data infrastructure first" principle ### Status: COMPLETE ### What was done: -- Added `PATHWAY_DATE_FILTERS_SCHEMA` with 6 pre-defined date combinations (all_6mo, all_12mo, 1yr_6mo, 1yr_12mo, 2yr_6mo, 2yr_12mo) -- Added `PATHWAY_NODES_SCHEMA` with all required columns: - - Hierarchy: parents, ids, labels, level - - Counts: value (patient count) - - Costs: cost, costpp, cost_pp_pa - - Dates: first_seen, last_seen, first_seen_parent, last_seen_parent - - Statistics: average_spacing, average_administered, avg_days - - Denormalized filters: trust_name, directory, drug_sequence - - Metadata: date_filter_id (FK), created_at, data_refresh_id -- Added `PATHWAY_REFRESH_LOG_SCHEMA` for tracking refresh status -- Created 8 indexes for efficient filtering -- Added helper functions: - - `create_pathway_tables()` / `drop_pathway_tables()` - - `get_pathway_table_counts()` / `verify_pathway_tables_exist()` - - `clear_pathway_nodes(date_filter_id=None)` — selective or full clearing - - `get_pathway_refresh_status()` — returns latest refresh status -- Updated `ALL_TABLES_SCHEMA` and combined helpers to include pathway tables +- Added `REF_DRUG_SNOMED_MAPPING_SCHEMA` to `data_processing/schema.py` with 11 columns: + - id, drug_name, indication, ta_id, search_term, snomed_code, snomed_description + - cleaned_drug_name, primary_directorate, all_directorates, created_at +- Added 5 custom indexes for lookup performance: + - idx_ref_drug_snomed_mapping_drug (drug_name) + - idx_ref_drug_snomed_mapping_cleaned (cleaned_drug_name) + - idx_ref_drug_snomed_mapping_snomed (snomed_code) + - idx_ref_drug_snomed_mapping_search_term (search_term) + - idx_ref_drug_snomed_mapping_drug_snomed (composite: cleaned_drug_name, snomed_code) +- Added `create_drug_snomed_mapping_table()` helper function +- Added schema to `REFERENCE_TABLES_SCHEMA` (included in `ALL_TABLES_SCHEMA`) +- Updated helper functions to include new table: + - `drop_reference_tables()` — drops new table + - `get_reference_table_counts()` — counts new table (with try/except for safety) + - `verify_reference_tables_exist()` — checks for new table ### Validation results: -- Tier 1 (Code): ✅ python -m py_compile passed, all imports successful -- Tier 2 (Visual): N/A (schema work, no UI) -- Tier 3 (Functional): ✅ Created test database, verified all 6 date filters populated, all 8 indexes created, all helper functions work correctly +- Tier 1 (Code): `python -m py_compile data_processing/schema.py` — PASSED +- Tier 1 (Code): Import check — PASSED +- Tier 2 (Data): Migration created table with 0 rows — PASSED +- Tier 2 (Data): All 11 columns and 6 indexes present — PASSED ### Files changed: -- `data_processing/schema.py` — added ~300 lines (3 new schema constants, 6 new helper functions) -- `IMPLEMENTATION_PLAN.md` — marked Task 1.1 subtasks complete -### Committed: 34396fe "feat: add pathway data architecture schema (Task 1.1)" +- `data_processing/schema.py` — added schema, updated helpers +### Committed: cf35937 "feat: add ref_drug_snomed_mapping schema (Task 1.1)" ### Patterns discovered: -- The INSERT OR REPLACE pattern works well for pre-populating date filters -- Using tempfile.TemporaryDirectory() for test databases avoids polluting the workspace +- Existing schema pattern: CREATE TABLE + CREATE INDEX in single SQL string +- Helper functions follow consistent pattern: create, drop, get_counts, verify_exists +- `get_reference_table_counts` needed try/except for tables that might not exist yet ### Next iteration should: -- Start Task 1.2: Create Pathway Pipeline Module (`data_processing/pathway_pipeline.py`) -- Reference `analysis/pathway_analyzer.py` for existing pathway logic to reuse -- The pipeline needs to: fetch_and_transform_data(), process_pathway_for_date_filter(), extract_denormalized_fields(), convert_to_records() +- Start Task 1.2: Create `data_processing/load_snomed_mapping.py` script to load the CSV +- The CSV has columns: Drug, Indication, TA_ID, Search_Term, SNOMEDCode, SNOMEDDescription, CleanedDrugName, PrimaryDirectorate, AllDirectorates +- Note: SNOMEDCode in CSV has `.0` suffix (e.g., "156370009.0") — may need cleanup ### Blocked items: - None -## Iteration 2 — 2026-02-04 -### Task: 1.2 Create Pathway Pipeline Module -### Why this task: -- Task 1.1 (Schema) is complete — pipeline module is the logical next step -- Task 1.3 (Migration Script) and Task 2.1 (CLI Refresh Command) both depend on having the pipeline -- The pipeline module provides the data processing layer between Snowflake and SQLite -### Status: COMPLETE -### What was done: -- Created `data_processing/pathway_pipeline.py` with: - - `DateFilterConfig` dataclass for date filter configuration - - `DATE_FILTER_CONFIGS` constant with all 6 pre-defined combinations - - `compute_date_ranges(config, max_date)` — computes actual ISO dates from config - - `fetch_and_transform_data(start_date, end_date, provider_codes, paths)` — Snowflake fetch + UPID/drug/directory transformations - - `process_pathway_for_date_filter(df, config, trust_filter, drug_filter, directory_filter, ...)` — processes single date filter using existing `generate_icicle_chart()` - - `extract_denormalized_fields(ice_df)` — parses ids column to extract trust_name, directory, drug_sequence - - `convert_to_records(ice_df, date_filter_id, refresh_id)` — converts ice_df to list of dicts for SQLite insertion - - `process_all_date_filters(df, ...)` — convenience function to process all 6 filters -- Integrated with existing `analysis/pathway_analyzer.py` via `generate_icicle_chart()` -- Integrated with `data_processing/snowflake_connector.py` via `fetch_activity_data()` -- Integrated with `tools/data.py` transformations (patient_id, drug_names, department_identification) -### Validation results: -- Tier 1 (Code): ✅ python -m py_compile passed, all imports successful -- Tier 2 (Visual): N/A (backend module, no UI) -- Tier 3 (Functional): ✅ Verified all 6 DATE_FILTER_CONFIGS, tested compute_date_ranges() returns correct dates -### Files changed: -- `data_processing/pathway_pipeline.py` — new file (~380 lines) -- `IMPLEMENTATION_PLAN.md` — marked Task 1.2 subtasks complete -### Committed: 5945649 "feat: add pathway pipeline module (Task 1.2)" -### Patterns discovered: -- The ids format uses " - " delimiter (space-hyphen-space), not "|" as noted in progress.txt — corrected in extract_denormalized_fields() -- avg_days column from pathway_analyzer can be a timedelta — need to convert with .total_seconds() / 86400 -- Some ice_df columns may be NaN at certain hierarchy levels — defensive None checks needed -### Next iteration should: -- Start Task 1.3: Create Migration Script -- OR jump to Task 2.1: Create Refresh Command (which can implicitly handle table creation) -- The refresh command needs: DATE_FILTER_CONFIGS, compute_date_ranges(), and pipeline functions -### Blocked items: -- None - -## Iteration 3 — 2026-02-04 -### Task: 1.3 Create Migration Script -### Why this task: -- Task 1.2 (Pipeline) was complete, and this was the next task in sequence -- Following the logical order: Schema → Pipeline → Migration → CLI Command -- Smaller, focused task before tackling the more complex CLI refresh command -### Status: COMPLETE -### What was done: -- Discovered that Task 1.3 is already satisfied by work done in Task 1.1: - - `python -m data_processing.migrate` already creates all pathway tables via `create_all_tables()` - - `pathway_date_filters` is auto-populated via INSERT OR REPLACE in the schema - - All helper functions (`verify_pathway_tables_exist`, `get_pathway_table_counts`, etc.) already exist -- Verified by running the migrate CLI against a fresh temp database: - - All 3 pathway tables created successfully - - All 6 date filter rows pre-populated correctly - - Status output shows pathway tables in table counts -### Validation results: -- Tier 1 (Code): ✅ python -m data_processing.migrate runs without errors -- Tier 2 (Visual): N/A (CLI/schema work, no UI) -- Tier 3 (Functional): ✅ Fresh database test shows all tables created with correct row counts -### Files changed: -- `IMPLEMENTATION_PLAN.md` — marked Task 1.3 subtasks complete with notes -### Committed: f976324 "docs: mark Task 1.3 complete (migration already handled by schema)" -### Patterns discovered: -- Good architecture in Task 1.1 (including schema auto-population) made Task 1.3 trivial -- The INSERT OR REPLACE pattern in schema is powerful — eliminates need for separate population scripts -### Next iteration should: -- Start Task 2.1: Create CLI Refresh Command (`cli/refresh_pathways.py`) -- This is the first task with real new work to do -- Reference `data_processing/pathway_pipeline.py` for DATE_FILTER_CONFIGS, compute_date_ranges() -- The CLI needs to: parse args, fetch Snowflake data, process all 6 filters, insert to SQLite, log status -### Blocked items: -- None - -## Iteration 4 — 2026-02-04 -### Task: 2.1 Create CLI Refresh Command -### Why this task: -- All Phase 1 tasks (Schema, Pipeline, Migration) are complete -- Task 2.1 is the natural next step — the CLI is needed to populate pathway_nodes before Reflex integration -- Previous iteration explicitly recommended this task -- CLI provides a way to test the full pipeline end-to-end before UI work -### Status: COMPLETE -### What was done: -- Created `cli/__init__.py` package marker -- Created `cli/refresh_pathways.py` with full CLI implementation: - - `refresh_pathways()` main function that orchestrates the full pipeline - - `insert_pathway_records()` for SQLite insertion using parameterized queries - - `log_refresh_start()`, `log_refresh_complete()`, `log_refresh_failed()` for refresh tracking - - `get_default_filters()` to load trusts/drugs/directories from CSV files - - CLI argument parsing: --minimum-patients, --provider-codes, --db-path, --dry-run, --verbose -- Integrated with existing pipeline functions (no code duplication): - - Uses `fetch_and_transform_data()` from pathway_pipeline.py - - Uses `process_all_date_filters()` for all 6 date filter combinations - - Uses schema helpers from data_processing/schema.py -### Validation results: -- Tier 1 (Code): ✅ python -m py_compile passed -- Tier 1 (Code): ✅ Import check passed -- Tier 1 (Code): ✅ `python -m cli.refresh_pathways --help` works correctly -- Tier 2 (Visual): N/A (CLI, no UI) -- Tier 3 (Functional): Not yet tested with real Snowflake data (Task 2.2) -### Files changed: -- `cli/__init__.py` — new package marker -- `cli/refresh_pathways.py` — new CLI module (~450 lines) -- `IMPLEMENTATION_PLAN.md` — marked Task 2.1 subtasks complete -### Committed: 092fdbb "feat: add CLI refresh command for pathway data (Task 2.1)" -### Patterns discovered: -- Reusing pipeline functions rather than duplicating DATE_FILTER_CONFIGS and compute_date_ranges is cleaner -- setup_logging() function takes logging level constants (logging.DEBUG, logging.INFO), not strings -- Good to use get_transaction() context manager for multi-statement inserts to ensure atomicity -### Next iteration should: -- Start Task 2.2: Test Refresh Pipeline with real Snowflake data -- This requires Snowflake SSO authentication (browser popup expected) -- Run: `python -m cli.refresh_pathways --dry-run -v` first to test without DB changes -- Then run full refresh and verify all 6 date_filter_ids are populated -- Compare patient counts with original app to validate correctness -### Blocked items: -- None - -## Iteration 5 — 2026-02-05 -### Task: 2.2 Test Refresh Pipeline with real Snowflake data -### Why this task: -- All Phase 1 and Task 2.1 complete — this was explicitly recommended by previous iteration -- Need to validate the full pipeline end-to-end before Reflex integration (Phase 3) -- Testing with real data catches type/format issues that unit tests miss -### Status: COMPLETE -### What was done: -1. **Configuration fixes**: - - Added Snowflake account identifier: `ZK91403.uk-south.azure` - - Added warehouse: `WH__XSMALL` (ANALYST_WH not available to user) - - Added user: `ANDREW.CHARLWOOD@NHS.NET` -2. **Bug fixes discovered during testing**: - - `get_default_filters()`: Was reading first column (Code) instead of Name column from defaultTrusts.csv - - `calculate_cost_per_patient_per_annum()`: Decimal type from Snowflake couldn't divide by float — added `float()` conversion - - `convert_to_records()`: `average_administered` is sometimes numpy array — `pd.isna()` fails on arrays, added try/except handling - - Unicode output: Changed checkmark symbols to ASCII for Windows cp1252 compatibility -3. **Data setup**: - - Copied required reference CSV files from Patient pathway analysis project -4. **Full refresh execution**: - - Snowflake fetch: 656,695 records in ~7s (chunked 10K rows at a time) - - Transformations: → 519,848 records (136,847 removed due to unmapped drug names) - - Pathway processing: 293 nodes for `all_6mo` filter - - Database insertion: 293 records with denormalized trust/directory/drug_sequence fields -### Validation results: -- Tier 1 (Code): All files compile, imports work -- Tier 2 (Visual): N/A (CLI/backend work) -- Tier 3 (Functional): Full pipeline tested with real Snowflake data: - - Snowflake SSO auth works (browser popup) - - 656K records fetched successfully - - Transformations complete without error - - 293 pathway nodes generated and inserted to SQLite - - pathway_refresh_log correctly tracks refresh (ID: 9af76e02, status: completed) -### Files changed: -- `cli/refresh_pathways.py` — Fixed trust filter column selection -- `analysis/statistics.py` — Fixed Decimal/float division -- `data_processing/pathway_pipeline.py` — Fixed array handling in convert_to_records -- `config/snowflake.toml` — Added account, warehouse, user settings -- `IMPLEMENTATION_PLAN.md` — Marked Task 2.2 complete with notes -- `data/*.csv` — Added 7 reference CSV files -### Committed: adc1dbf "feat: complete Task 2.2 - test refresh pipeline with Snowflake data" -### Patterns discovered: -- Snowflake account format: `ACCOUNT.uk-south.azure` (not just account ID) -- Snowflake returns Decimal for DECIMAL/NUMERIC columns — must convert to float for math -- `pd.isna()` raises ValueError on arrays — use try/except pattern -- Test data only has data for `all_6mo` filter (others show 0 nodes) — expected given data freshness -- Total refresh time: ~6.2 minutes for 656K → 519K → 293 pathway nodes -### Next iteration should: -- Start Phase 3: Reflex Integration -- Task 3.1: Update AppState to query pathway_nodes instead of recalculating - - Replace date pickers with dropdowns for initiated/last_seen - - Add date_filter_id computed property - - Rewrite load_pathway_data() to query pre-computed data -- Reference `pathways_app/app_v2.py` for existing state structure -### Blocked items: -- None - -## Iteration 6 — 2026-02-05 -### Task: 3.1 Update AppState -### Why this task: -- Phase 1 and 2 (Schema, Pipeline, CLI, Testing) are all complete -- Previous iteration explicitly recommended starting Phase 3: Reflex Integration -- Task 3.1 is the foundation for Phase 3 — Tasks 3.2 and 3.3 depend on the state structure defined here -- This is the first step in connecting the pre-computed pathway_nodes data to the Reflex UI -### Status: COMPLETE -### What was done: -1. **Replaced date picker state with dropdown state**: - - Added `selected_initiated: str = "all"` (options: "all", "1yr", "2yr") - - Added `selected_last_seen: str = "6mo"` (options: "6mo", "12mo") - - Added `initiated_options` and `last_seen_options` lists for dropdown rendering - - Added `set_initiated_filter()` and `set_last_seen_filter()` event handlers - -2. **Added `date_filter_id` computed property**: - - Returns `f"{selected_initiated}_{selected_last_seen}"` - - Maps to pathway_date_filters table IDs: all_6mo, all_12mo, 1yr_6mo, etc. - -3. **Created `load_pathway_data()` method**: - - Queries pathway_nodes table with `WHERE date_filter_id = ?` - - Applies directory filter using denormalized `directory` column - - Applies drug filter using `drug_sequence LIKE ?` patterns - - Extracts KPIs from root node (level 0) - - Gets data freshness from pathway_refresh_log - -4. **Added `recalculate_parent_totals()` method**: - - Walks up the hierarchy recalculating values after filtering - - Recomputes colour (proportion of parent) values - - Updates KPIs from recalculated root node - -5. **Updated all filter handlers**: - - Changed `toggle_drug()`, `toggle_directorate()` to call `load_pathway_data()` - - Changed `select_all_*()`, `clear_all_*()` to call `load_pathway_data()` - - Changed `load_data()` to call `load_pathway_data()` instead of `apply_filters()` - -### Validation results: -- Tier 1 (Code): [pass] python -m py_compile passed -- Tier 1 (Code): [pass] Import check passed — all new methods present -- Tier 1 (Code): [pass] AppState structure verified — date_filter_id computed property works -- Tier 2 (Visual): N/A (state changes only, UI updates in Task 3.3) -- Tier 3 (Functional): Not yet tested with real data (requires UI completion) -### Files changed: -- `pathways_app/pathways_app.py` — Major refactoring of state and data loading -- `IMPLEMENTATION_PLAN.md` — Marked Task 3.1 subtasks complete -### Committed: 7948ca7 "feat: update AppState to query pre-computed pathway_nodes (Task 3.1)" -### Patterns discovered: -- The pathway_nodes table uses denormalized columns (trust_name, directory, drug_sequence) for efficient filtering -- Drug filtering uses LIKE patterns on drug_sequence since it's pipe-separated -- KPIs are extracted from the root node (level 0) which contains aggregated totals -- Legacy date picker state kept for backwards compatibility but will be removed in Task 3.3 -### Next iteration should: -- Start Task 3.2: Update Icicle Figure - - Update `icicle_figure` computed property to use all pathway_nodes columns - - Match original 10-field customdata structure from visualization/plotly_generator.py - - Restore full hover/text templates with treatment statistics -- The chart_data structure now includes first_seen, last_seen, average_spacing, cost_pp_pa fields -- Reference `visualization/plotly_generator.py` for the expected customdata format -### Blocked items: -- None - -## Iteration 7 — 2026-02-05 -### Task: 3.2 Update Icicle Figure -### Why this task: -- Previous iteration explicitly recommended Task 3.2 as the next step -- Task 3.1 (AppState) complete — the state now has chart_data with all necessary fields -- Task 3.2 is logically before Task 3.3 — the chart needs to render correctly before UI components can be verified -- The chart is the core visualization, so getting it right is essential -### Status: COMPLETE -### What was done: -1. **Updated icicle_figure computed property** with full 10-field customdata structure: - - [0] value - patient count - - [1] colour - proportion of parent - - [2] cost - total cost - - [3] costpp - cost per patient - - [4] first_seen - first intervention date - - [5] last_seen - last intervention date - - [6] first_seen_parent - earliest date in parent group - - [7] last_seen_parent - latest date in parent group - - [8] average_spacing - dosing information string - - [9] cost_pp_pa - cost per patient per annum - -2. **Updated texttemplate** (text shown on chart segments): - - Total patients with "including children/further treatments" note - - First seen date - - Last seen (including further treatments) - - Average treatment duration - - Total cost - - Average cost per patient - - Average cost per patient per annum - -3. **Updated hovertemplate** (hover popup): - - Patient count with percentage of parent level - - Full cost breakdown (total, per patient, per patient per annum) - - Date range (first seen, last seen with parent scope) - - Average treatment duration - -4. **Preserved NHS-inspired styling**: - - Kept Heritage Blue → Pale Blue colorscale - - Kept Inter font family - - Kept transparent backgrounds and Slate 300 borders -### Validation results: -- Tier 1 (Code): [pass] python -m py_compile passed -- Tier 1 (Code): [pass] Import check passed — AppState.icicle_figure exists -- Tier 1 (Code): [pass] All 10 customdata fields verified in source -- Tier 2 (Visual): Pending — requires running app with data (Task 3.3) -- Tier 3 (Functional): Structure validated — customdata matches plotly_generator.py format -### Files changed: -- `pathways_app/pathways_app.py` — Updated icicle_figure computed property (68 lines added, 20 removed) -- `IMPLEMENTATION_PLAN.md` — Marked Task 3.2 subtasks complete -### Committed: ced994f "feat: update icicle_figure with full 10-field customdata (Task 3.2)" -### Patterns discovered: -- The chart_data dict structure from load_pathway_data() maps directly to customdata fields -- Default values (or "N/A") are important for fields that might be None/empty at certain hierarchy levels -- Kept NHS blue colorscale rather than reverting to Viridis — matches design system better -### Next iteration should: -- Start Task 3.3: Update UI Components - - Replace date pickers with select dropdowns for Initiated / Last Seen - - Add "Data refreshed: X ago" indicator using last_updated from pathway_refresh_log - - Update filter section layout to accommodate new dropdowns - - Test full app with real data to verify chart renders with treatment statistics -- Reference DESIGN_SYSTEM.md for dropdown styling -- The state already has `initiated_options` and `last_seen_options` lists for rendering -### Blocked items: -- None - -## Iteration 8 — 2026-02-05 -### Task: 3.3 Update UI Components -### Why this task: -- Previous iteration explicitly recommended Task 3.3 as the next step -- Task 3.1 (AppState) and Task 3.2 (Icicle Figure) are complete — this is the final task in Phase 3 -- The state already has `selected_initiated`, `selected_last_seen`, and their event handlers -- This task connects the pre-computed pathway data to the user interface -### Status: COMPLETE -### What was done: -1. **Replaced date pickers with select dropdowns**: - - Created `initiated_filter_dropdown()` component with options: "All years", "Last 2 years", "Last 1 year" - - Created `last_seen_filter_dropdown()` component with options: "Last 6 months", "Last 12 months" - - Used `rx.select.root` > `rx.select.trigger` > `rx.select.content` > `rx.select.item` pattern - - Removed old `date_range_picker()` function (no longer needed) - -2. **Updated filter_section()**: - - Replaced `date_range_picker()` calls with new dropdown components - - Simplified layout — no more checkboxes to enable/disable date filters - - Date filters are now always active (matching pre-computed pathway_date_filters) - -3. **Data freshness indicator**: - - Already implemented in top_bar() using `last_updated_display` computed property - - `load_pathway_data()` queries pathway_refresh_log.completed_at - - Displays "Refreshed: 2m ago" / "Refreshed: Yesterday" etc. - -4. **Initial attempt with rx.foreach failed**: - - First tried using `rx.foreach` inside `rx.select` for dynamic options - - Failed with `TypeError: 'Foreach' object is not iterable` - - Reflex's `rx.select` doesn't support `rx.foreach` for items - - Solution: Use static `rx.select.item()` calls since options are fixed -### Validation results: -- Tier 1 (Code): [PASS] python -m py_compile passed -- Tier 1 (Code): [PASS] Import check passed -- Tier 1 (Code): [PASS] python -m reflex compile succeeded (11.095 seconds) -- Tier 2 (Visual): Pending — requires running app with real data -- Tier 3 (Functional): Pending — requires E2E testing (Phase 4) -### Files changed: -- `pathways_app/pathways_app.py` — Replaced date_range_picker with select dropdowns (+75, -99 lines) -- `IMPLEMENTATION_PLAN.md` — Marked Task 3.3 subtasks complete -### Committed: a6f1d8b "feat: replace date pickers with select dropdowns (Task 3.3)" -### Patterns discovered: -- `rx.select` doesn't work with `rx.foreach` for dynamic items — use static `rx.select.item()` calls -- Pattern: `rx.select.root` > `rx.select.trigger` > `rx.select.content` > `rx.select.group` > `rx.select.item` -- Pre-defined options are fine with static items since they don't change at runtime -- The state already had `initiated_options` and `last_seen_options` lists, but they weren't needed — simpler to hardcode the options in the component -### Next iteration should: -- Start Phase 4: Testing & Validation (Task 4.1 End-to-End Validation) -- Run the app with `reflex run` and verify: - 1. Date dropdowns render and respond to changes - 2. Chart updates when date filters change - 3. Drug/directory filters work correctly - 4. KPIs update with filter changes - 5. Hover tooltips show treatment statistics -- If Phase 4.1 passes, continue with 4.2 (Performance) and 4.3 (Documentation) -- **Important**: Need real data in pathway_nodes table — may need to run `python -m cli.refresh_pathways` first -### Blocked items: -- None - -## Iteration 9 — 2026-02-05 -### Task: 4.1 End-to-End Validation -### Why this task: -- Previous iteration explicitly recommended Task 4.1 as the next step -- Phase 3 (AppState, Icicle Figure, UI Components) is complete -- Need to validate the full data flow before documentation and performance testing -- This task verifies that all the Phase 3 work actually functions correctly -### Status: COMPLETE -### What was done: -1. **Verified database structure**: - - pathway_nodes table has 293 records for all_6mo filter - - 6-level hierarchy: Root → Trust → Directory → Drug → Pathway (2 steps) - - fact_interventions table has 440,069 records for reference data loading - -2. **Validated pathway hierarchy**: - - Level 0 (Root): 1 node - N&WICS, 11,118 patients, £130.5M - - Level 1 (Trust): 7 nodes - - Level 2 (Directory): 42 nodes - - Level 3 (Drug): 132 nodes - - Levels 4-5 (Pathway steps): 111 nodes - -3. **Verified treatment statistics**: - - average_spacing populated: e.g., "ADALIMUMAB - 35.6 times, 2.0 weekly interval" - - cost_pp_pa populated: e.g., ADALIMUMAB £3,384/patient/annum - - first_seen/last_seen dates populated for drug nodes - -4. **Validated drug filtering capability**: - - drug_sequence column available for LIKE pattern matching - - Sample drugs: OMALIZUMAB, ADALIMUMAB, INFLIXIMAB, ETANERCEPT - -5. **Confirmed 10-field customdata structure**: - - All fields present in pathway_nodes: value, colour, cost, costpp, - first_seen, last_seen, first_seen_parent, last_seen_parent, - average_spacing, cost_pp_pa - -6. **Verified Reflex compilation**: - - `python -m py_compile` passes - - `python -m reflex compile` succeeds in 2.8s - - App starts and shows "App Running" before timeout - -### Validation results: -- Tier 1 (Code): [PASS] Syntax check, import check, reflex compile all pass -- Tier 2 (Visual): Pending — requires interactive testing (next iteration) -- Tier 3 (Functional): [PASS] All 5 E2E data validation tests pass - - Hierarchy structure: PASS - - Patient counts: PASS (11,118 = 32% of full dataset, reasonable for 6mo filter) - - Treatment statistics: PASS - - Drug filtering: PASS - - Customdata fields: PASS - -### Files changed: -- `IMPLEMENTATION_PLAN.md` — Marked Task 4.1 subtasks complete with details - -### Committed: cabaa72 "feat: complete Task 4.1 End-to-End Validation" - -### Patterns discovered: -- Patient count ratio ~32% vs fact_interventions is expected (all_6mo filter) -- Some drug nodes have None for dates/spacing (fewer records at that level) -- Root node has None for treatment stats (aggregated level) -- pathway_refresh_log tracks completed_at for data freshness display - -### Next iteration should: -- Run interactive visual testing with `reflex run`: - 1. Verify date dropdowns render correctly (Treatment Initiated, Last Seen) - 2. Verify chart displays with pathway data - 3. Test drug/directory filter interactions - 4. Check hover tooltips show treatment statistics - 5. Verify KPIs update correctly -- If visual testing passes, move to Task 4.2 (Performance Testing) -- Note: Only `all_6mo` filter has data — other date combinations will show empty - -### Blocked items: -- None - -## Iteration 10 — 2026-02-05 -### Task: 4.2 Performance Testing -### Why this task: -- Previous iteration recommended visual testing but that requires interactive browser testing -- Task 4.2 (Performance Testing) can be done programmatically without browser -- Performance validation is critical before documentation (Task 4.3) -- If performance issues exist, they should be found and documented before final docs -### Status: COMPLETE -### What was done: -1. **Database Query Performance**: - - Date filter query: 2.3ms average (100x under 500ms target) - - Directory filter: 3.7ms - - Drug filter (LIKE patterns): 0.5ms - - Complex filter (date+dir+drug): 0.5ms - - Refresh log lookup: 0.2ms - - All queries <5ms — excellent performance - -2. **Chart Generation Performance**: - - Initial render: ~200ms (first run, includes imports) - - Subsequent renders: ~10ms average - - Figure generation: ~48ms average - - Well under 500ms target - -3. **Full Page Load Simulation**: - - Total time: 50.9ms average - - Target was <2000ms - - Using only 2.5% of budget - -4. **Data Scale Validation**: - - Source: 440,069 fact_interventions - - Pre-computed: 293 pathway_nodes for all_6mo - - 6-level hierarchy (Root → Trust → Directory → Drug → Pathway) - - Pre-computation architecture validated - -5. **Reflex Compilation**: - - Compile time: 2.8s - - No compilation errors - - "App Running" message appears before Windows backend issue - - Code is correct, Windows environment has separate issue - -### Validation results: -- Tier 1 (Code): [PASS] syntax, import, reflex compile all pass -- Tier 2 (Visual): N/A (performance testing, not UI verification) -- Tier 3 (Functional): [PASS] All performance targets exceeded: - - Filter change: 51ms (target <500ms) — PASS - - Page load: 51ms (target <2000ms) — PASS - - Chart nodes: 293 (Plotly handles 10K+) — PASS - - Full dataset: pre-computed architecture works — PASS - -### Files changed: -- `IMPLEMENTATION_PLAN.md` — marked Task 4.2 subtasks complete with measurements - -### Committed: 870d2e6 "feat: complete Task 4.2 Performance Testing - all targets met" - -### Patterns discovered: -- First Plotly render is ~200ms (import caching), subsequent renders ~10ms -- SQLite queries are extremely fast (<5ms) for 293 rows with indexes -- Pre-computing pathways was the right architecture choice — shifts processing to refresh time -- Windows has Reflex backend startup issue but code compiles correctly - -### Next iteration should: -- Start Task 4.3: Documentation - - Update CLAUDE.md with new pathway architecture - - Document CLI usage for `refresh_pathways` command - - Update README with new run instructions - - Document breaking changes from original app -- This is the final task before project completion -- After 4.3, verify all completion criteria are met - -### Blocked items: -- None - -## Iteration 11 — 2026-02-05 -### Task: 4.3 Documentation -### Why this task: -- Only remaining task — all other tasks marked [x] -- Previous iteration (10) explicitly recommended this task -- Final task before project completion -- Documentation ensures the codebase is maintainable and usable for others -### Status: COMPLETE -### What was done: -1. **Updated CLAUDE.md with new pathway architecture**: - - Added "Pathway Data Architecture" section with date filter table - - Updated package structure to include cli/ and pathway_pipeline.py - - Added CLI module documentation (refresh_pathways.py) - - Added Pathway Pipeline documentation (DATE_FILTER_CONFIGS, compute_date_ranges, etc.) - - Updated data flow diagrams showing pre-computed vs legacy flow - - Added pathway tables (pathway_date_filters, pathway_nodes, pathway_refresh_log) to database schema - -2. **Documented CLI usage for `refresh_pathways`**: - - Added "CLI Commands" section with usage examples - - Documented refresh workflow (fetch → transform → process → insert) - - Documented CLI arguments (--minimum-patients, --dry-run, --verbose, etc.) - -3. **Updated run instructions**: - - Added `python -m data_processing.migrate` step - - Added `python -m cli.refresh_pathways` step - - Note: No separate README exists — CLAUDE.md serves as primary documentation - -4. **Documented breaking changes from original app**: - - Added "Breaking Changes from Original App" section - - Date filters: pickers → dropdowns (Initiated: all/1yr/2yr, Last Seen: 6mo/12mo) - - Data refresh: real-time calculation → pre-computed with CLI refresh - - State variables: removed start_date/end_date, added selected_initiated/selected_last_seen - - Icicle chart: now includes full 10-field customdata with treatment statistics - -### Validation results: -- Tier 1 (Code): [PASS] python -m py_compile passes, imports work -- Tier 1 (Code): [PASS] CLI --help works correctly -- Tier 2 (Visual): N/A (documentation task) -- Tier 3 (Functional): N/A (documentation task) -### Files changed: -- `CLAUDE.md` — Added ~200 lines of documentation -- `IMPLEMENTATION_PLAN.md` — Marked Task 4.3 subtasks complete -### Committed: 76e0d64 "docs: complete Task 4.3 Documentation" -### Patterns discovered: -- CLAUDE.md is the single source of documentation for this project (no README.md) -- Good practice to include both pre-computed (new) and legacy data flow diagrams -- Breaking changes section is valuable for users migrating from the old app -### Next iteration should: -- ALL TASKS COMPLETE — verify completion criteria are met -- Run `reflex run` to perform final visual verification -- If all checks pass, output the completion signal -### Blocked items: -- None - ---- - -## PHASE 5: UI REDESIGN - -Previous work (Phases 1-4) established the pathway data architecture. Now we focus on the frontend. - -### Design Goals -1. **Modern SaaS aesthetic** - Not an NHS dashboard, more like Stripe/Linear/Vercel -2. **Chart-centric layout** - The icicle chart is the hero; maximize its space -3. **Compact controls** - Shrink filters by 50-67%, KPIs by 50% -4. **Full-width** - Chart should stretch to viewport width - -### Key Measurements to Achieve -| Element | Current | Target | Reduction | -|---------|---------|--------|-----------| -| Top bar | 64px | 48px | 25% | -| Filters | ~200px | ≤60px | 70% | -| KPIs | ~100px | ≤48px | 52% | -| Total overhead | ~364px | ~156px | 57% | - -### Files to Modify -- `pathways_app/styles.py` - Design tokens (smaller fonts, tighter spacing) -- `pathways_app/pathways_app.py` - Layout components (compact filters, full-width chart) -- `DESIGN_SYSTEM.md` - Already updated with new specs - -### Implementation Order -1. Update styles.py tokens first (foundation) -2. Compact the filter section (biggest space gain) -3. Compact or inline KPIs (second biggest gain) -4. Full-width chart (the payoff) -5. Top bar refinement (polish) - -### Known Patterns from Previous Work -- `rx.select.root` pattern works for dropdowns (Task 3.3) -- Chart height is set in `icicle_figure` computed property -- PAGE_MAX_WIDTH constant controls container width -- Filter section uses nested vstack/hstack layout - ---- - -## PREVIOUS PROJECT COMPLETION - -All 4 phases (11 tasks) of the Pathway Data Architecture project are complete: - -**Phase 1: Schema & Data Pipeline Foundation** -- [x] 1.1 Extend Database Schema -- [x] 1.2 Create Pathway Pipeline Module -- [x] 1.3 Create Migration Script - -**Phase 2: CLI Refresh Command** -- [x] 2.1 Create Refresh Command -- [x] 2.2 Test Refresh Pipeline - -**Phase 3: Reflex Integration** -- [x] 3.1 Update AppState -- [x] 3.2 Update Icicle Figure -- [x] 3.3 Update UI Components - -**Phase 4: Testing & Validation** -- [x] 4.1 End-to-End Validation -- [x] 4.2 Performance Testing -- [x] 4.3 Documentation - -**All completion criteria verified:** -- [x] App compiles without errors -- [x] All 6 date filter combinations work correctly (code verified, data limitation on some filters) -- [x] Drug/directory/trust filters work with instant updates (<5ms) -- [x] KPIs display correct numbers matching filter state -- [x] Icicle chart renders with full pathway data and statistics -- [x] Treatment duration and dosing information displays in tooltips -- [x] No console errors during normal operation (compile/import verified) -- [x] Verified with real patient data from Snowflake - ---- - -## Phase 5 Iteration Log - -## Iteration 12 — 2026-02-05 -### Task: 5.1 Update Design System for Modern SaaS -### Why this task: -- Foundation task for Phase 5 — all other tasks (filters, KPIs, chart, top bar) depend on having correct design tokens -- DESIGN_SYSTEM.md already had the new specs defined; styles.py had OLD values that needed updating -- Logical first step: establish tokens before using them in layout components -### Status: COMPLETE -### What was done: -1. **Updated Typography tokens** (reduced sizes): - - DISPLAY_SIZE: 32px → 28px - - H1_SIZE: 24px → 18px - - H2_SIZE: 20px → 16px - - CAPTION_SIZE: 12px → 11px - - MONO_WEIGHT: 400 → 500 - -2. **Updated Spacing tokens** (~25% reduction): - - SM: 8px → 6px - - MD: 12px → 8px - - LG: 16px → 12px - - XL: 24px → 16px - - XXL: 32px → 24px - - XXXL: 48px → 32px - -3. **Updated Colors** (modernized): - - SLATE_900: #1E293B → #0F172A (slightly darker) - - SLATE_100: #F1F5F9 → #F8FAFC (slightly lighter) - - SUCCESS: #059669 → #10B981 (modern green) - - WARNING: #D97706 → #F59E0B - - ERROR: #DC2626 → #EF4444 - - INFO: #0284C7 → #3B82F6 - -4. **Updated Shadows** (lighter): - - SM: rgba(0,0,0,0.05) → rgba(0,0,0,0.04) - - MD: rgba(0,0,0,0.08) → rgba(0,0,0,0.06) - - LG: rgba(0,0,0,0.1) → rgba(0,0,0,0.08) - -5. **Updated Layout constants**: - - TOP_BAR_HEIGHT: 64px → 48px - - Added FILTER_STRIP_HEIGHT = 48px - -6. **Added new style helpers**: - - `compact_kpi_card_style()` - 12px padding, min-width 100px - - `compact_kpi_value_style()` - 24px font (was 32px) - - `compact_kpi_label_style()` - 11px caption, 4px margin - - `kpi_badge_style()` - inline pill variant (zero height impact) - - `kpi_badge_value_style()` / `kpi_badge_label_style()` - - `filter_strip_style()` - 48px height, flex, 12px gaps - - `compact_dropdown_trigger_style()` - 32px height, 8px/12px padding - - `searchable_dropdown_panel_style()` - compact panel with z-index - - `searchable_dropdown_item_style(selected)` - 6px/8px padding - - `chart_container_style()` - full-width, flex-grow, 16px padding - - `chart_wrapper_style(overhead_height)` - calc(100vh - X) height - - `top_bar_style()` - 48px Heritage Blue container - - `top_bar_tab_style(active)` - 28px pills - - `logo_style()` - 28px height - -### Validation results: -- Tier 1 (Code): [PASS] python -m py_compile passed -- Tier 1 (Code): [PASS] Import check passed — all tokens and helpers verified -- Tier 1 (Code): [PASS] python -m reflex compile succeeded (45.7s) -- Tier 2 (Visual): N/A (tokens only, no layout changes yet) -- Tier 3 (Functional): N/A (tokens only) -### Files changed: -- `pathways_app/styles.py` — Complete rewrite with v2.1 tokens (+499, -302 lines) -- `IMPLEMENTATION_PLAN.md` — Marked Task 5.1 subtasks complete -### Committed: 0a68c2a "feat: update design tokens for SaaS redesign (Task 5.1)" -### Patterns discovered: -- The Transitions class needed a DEFAULT value since many helpers use it -- Radii.LG changed from 12px to 8px in DESIGN_SYSTEM.md — implemented -- input_style() reduced height from 40px to 32px to match compact triggers -- Chart wrapper uses calc(100vh - Xpx) pattern — needs overhead_height parameter -### Next iteration should: -- Start Task 5.2: Compact Filter Section -- The filter_strip_style() and compact_dropdown_trigger_style() helpers are now available -- Need to refactor filter_section() in pathways_app.py to use single horizontal strip -- Remove "Filters" header to save vertical space -- Use the new 32px dropdown triggers instead of current larger ones -- Target: filter section height ≤ 60px -### Blocked items: -- None - -## Iteration 13 — 2026-02-05 -### Task: 5.2 Compact Filter Section -### Why this task: -- Previous iteration (12) completed Task 5.1 (Design Tokens) -- Task 5.2 is the logical next step in the implementation order -- The new compact style helpers (filter_strip_style, compact_dropdown_trigger_style, etc.) are now available -- Filter section is the biggest space consumer (~200px) — compacting it gives the most chart space gain -### Status: COMPLETE -### What was done: -1. **Updated imports** in pathways_app.py: - - Added FILTER_STRIP_HEIGHT, filter_strip_style, compact_dropdown_trigger_style - - Added searchable_dropdown_panel_style, searchable_dropdown_item_style - -2. **Redesigned initiated_filter_dropdown()**: - - Removed vstack wrapper and external label - - Added compact_dropdown_trigger_style() with 32px height - - Moved label inside dropdown panel using rx.select.label() - - Changed size from "2" to "1" (smaller) - -3. **Redesigned last_seen_filter_dropdown()**: - - Same changes as initiated_filter_dropdown() - - Compact trigger, label inside panel - -4. **Redesigned searchable_dropdown()**: - - Removed external vstack and label - - Compact trigger with 32px height, ellipsis overflow - - Added header label inside dropdown panel - - Reduced panel max-height from 200px to 150px - - Smaller search input (size="1") - - Renamed buttons "Select All" → "All", "Clear" → "None" (more compact) - - Smaller checkbox size (size="1") - - Tighter spacing throughout - -5. **Redesigned filter_section()**: - - Removed "Filters" header entirely - - Single horizontal row using filter_strip_style() (48px height) - - Groups: Date filters | Divider | Multi-select filters | Spacer - - All 5 dropdowns in ONE row - -### Validation results: -- Tier 1 (Code): [PASS] python -m py_compile passed -- Tier 1 (Code): [PASS] Import check passed -- Tier 1 (Code): [PASS] reflex compile succeeded (49.4s) -- Tier 2 (Visual): Pending visual verification with reflex run -- Tier 3 (Functional): Pending E2E testing - -### Files changed: -- `pathways_app/pathways_app.py` — Redesigned filter components (+210, -257 lines) -- `IMPLEMENTATION_PLAN.md` — Marked Task 5.2 subtasks complete - -### Committed: d2bed71 "feat: compact filter section as single horizontal strip (Task 5.2)" - -### Patterns discovered: -- Can't use **searchable_dropdown_item_style() with rx.cond(background_color) — causes "multiple values" error - - Solution: Inline the style props directly instead of spreading a dict -- rx.select.label() works well for putting labels inside dropdown panels -- Using rx.spacer() helps push filters to the left in horizontal layout -- Checkbox size="1" is noticeably smaller and works well for compact lists - -### Next iteration should: -- Run visual verification with `reflex run` to confirm filter section height ≤ 60px -- Start Task 5.3: Compact KPI Cards (50% reduction) - - Reduce padding, font sizes - - Consider KPI badge/pill variant for inline display - - Target: KPI row height ≤ 48px -- The compact_kpi_* style helpers are already in styles.py - -### Blocked items: -- None - -## Iteration 14 — 2026-02-05 -### Task: 5.3 Compact KPI Cards -### Why this task: -- Previous iteration (13) completed Task 5.2 (Compact Filter Section) -- Task 5.3 is the logical next step in the implementation order -- The compact_kpi_badge_* style helpers were already available in styles.py from Task 5.1 -- KPIs were the second-biggest space consumer after filters (~100px → 0px extra) -### Status: COMPLETE -### What was done: -1. **Updated imports** in pathways_app.py: - - Added kpi_badge_style, kpi_badge_value_style, kpi_badge_label_style - -2. **Created new kpi_badge() function**: - - Compact pill-style badge for inline display - - Highlight mode for primary metric (patients) uses Primary Blue background - - Normal badges use Slate 100 background - - Fixed "multiple values for keyword argument" error by building style dicts with .copy() and overriding - -3. **Created new kpi_badges() function**: - - Horizontal row of 3 KPI badges: patients, cost, drugs - - Designed to sit alongside filters in the filter strip - -4. **Updated filter_section()**: - - Added kpi_badges() on the right side (after rx.spacer()) - - KPIs now share the filter strip row - -5. **Updated main_content()**: - - Removed separate kpi_row() call - - KPIs are now integrated into filter_section() - - Reduced spacing from "5" to "4" - - Reduced padding_top from Spacing.XL to Spacing.MD - -### Validation results: -- Tier 1 (Code): [PASS] python -m py_compile passed -- Tier 1 (Code): [PASS] Import check passed -- Tier 1 (Code): [PASS] reflex compile succeeded (15.0s) -- Tier 2 (Visual): Pending visual verification with reflex run -- Tier 3 (Functional): Structure validated — KPI badges render without errors - -### Files changed: -- `pathways_app/pathways_app.py` — Added kpi_badge(), kpi_badges(), updated filter_section(), main_content() (+108, -18 lines) -- `IMPLEMENTATION_PLAN.md` — Marked Task 5.3 subtasks complete - -### Committed: 826dd1c "feat: compact KPI badges integrated into filter strip (Task 5.3)" - -### Patterns discovered: -- When using **style_dict spread with additional kwargs, Python gives "multiple values" error if key exists in dict -- Solution: Use .copy() to create a new dict, then mutate it before spreading -- Zero-height KPIs achieved via Option A from design system (inline badges in filter row) - -### Next iteration should: -- Start Task 5.4: Full-Width Chart Layout - - Remove PAGE_MAX_WIDTH constraint for chart container - - Use calc(100vh - Xpx) for chart height - - Update Plotly layout margins -- OR run visual verification first with `reflex run` to validate Tasks 5.2 and 5.3 -- The overhead height is now ~96px (48px top bar + 48px filter strip) vs original ~364px - -### Blocked items: -- None - -## Iteration 15 — 2026-02-05 -### Task: 5.4 Full-Width Chart Layout -### Why this task: -- Tasks 5.1-5.3 complete — this is the logical next step -- Previous iteration explicitly recommended Task 5.4 -- This is the "payoff" step — filters and KPIs are now compact, chart needs to fill the space -- Overhead reduced from ~364px to ~96px; now the chart needs to use that saved space -### Status: COMPLETE -### What was done: -1. **Added imports** for chart_container_style, chart_wrapper_style from styles.py - -2. **Updated icicle_figure computed property**: - - Removed fixed `height=600` — now uses `autosize=True` - - Reduced margins to t:40, l:8, r:8, b:24 (per DESIGN_SYSTEM.md) - -3. **Updated chart_display()**: - - Now uses `calc(100vh - 152px)` for chart height - - 152px = 48px top bar + 48px filter strip + 16px padding + 40px chart header - - Minimum height 500px preserved - -4. **Updated chart_section()**: - - Removed card_style() wrapper (no border constraints) - - Added flex="1" to fill remaining space - - Tighter spacing between header and chart - -5. **Updated main_content()**: - - Removed PAGE_MAX_WIDTH constraint — chart now fills viewport - - Using padding_x=Spacing.XL (16px) per design system - - Added flex="1" and flex layout - -6. **Updated page_layout()**: - - Added height="100vh" for full viewport height - - Added overflow="hidden" to prevent outer scrollbars - -### Validation results: -- Tier 1 (Code): [PASS] python -m py_compile passed -- Tier 1 (Code): [PASS] Import check passed -- Tier 1 (Code): [PASS] reflex compile succeeded (1.7s) -- Tier 2 (Visual): Pending — requires reflex run to verify full-width display -- Tier 3 (Functional): Structure validated — flex layout hierarchy correct - -### Files changed: -- `pathways_app/pathways_app.py` — Updated imports, icicle_figure, chart_display, chart_section, main_content, page_layout -- `IMPLEMENTATION_PLAN.md` — Marked Task 5.4 subtasks complete - -### Committed: ef2a109 "feat: full-width responsive chart layout (Task 5.4)" - -### Patterns discovered: -- calc(100vh - Xpx) works well for responsive heights -- Need to cascade flex="1" up through the component hierarchy -- autosize=True in Plotly layout lets the container control sizing -- Important to set overflow="hidden" on outer container to prevent scrollbars - -### Next iteration should: -- Start Task 5.5: Top Bar Refinement - - Verify top bar is 48px (should already be from styles.py) - - Make logo smaller (28px) - - Simplify chart tabs (smaller pills) - - Consider moving data freshness indicator inline with filters -- OR run visual verification first with `reflex run` to confirm Tasks 5.2, 5.3, and 5.4 -- The main structural changes are complete — 5.5 and 5.6 are polish tasks - -### Blocked items: -- None - -## Iteration 16 — 2026-02-05 -### Task: 5.5 Top Bar Refinement -### Why this task: -- Previous iteration (15) completed Task 5.4 (Full-Width Chart Layout) -- Task 5.5 was explicitly recommended as the next step -- This is a polish task — the main structural work is done -- Specific measurable goals: 48px height, 28px logo, smaller pills -### Status: COMPLETE -### What was done: -1. **Added new imports** in pathways_app.py: - - top_bar_style, top_bar_tab_style, logo_style from styles.py - -2. **Updated chart_tab() function**: - - Now uses `top_bar_tab_style(active=is_active)` for consistent styling - - 28px height pills instead of larger pills - - Style properties extracted from helper instead of hardcoded - -3. **Updated top_bar() function**: - - Uses `logo_style()` for 28px logo (was 36px) - - Uses `top_bar_style()` for 48px height container - - Simplified data freshness to single line: "X records · Refreshed: 2m ago" - - Removed max_width constraint (full-width design) - - Tighter spacing (spacing="2" and "1") - - Lighter shadow (Shadows.SM instead of MD) - - Subtler tab background (0.08 opacity instead of 0.1) - -### Validation results: -- Tier 1 (Code): [PASS] python -m py_compile passed -- Tier 1 (Code): [PASS] Import check passed -- Tier 1 (Code): [PASS] reflex compile succeeded (1.7s) -- Tier 2 (Visual): Pending — requires reflex run to verify 48px height -- Tier 3 (Functional): N/A (styling only) - -### Files changed: -- `pathways_app/pathways_app.py` — Updated chart_tab(), top_bar() to use style helpers -- `IMPLEMENTATION_PLAN.md` — Marked Task 5.5 subtasks complete - -### Committed: 754e98d "feat: refine top bar with style helpers (Task 5.5)" - -### Patterns discovered: -- Style helper functions return dicts, use **style_helper() to spread -- Can use style.get("property", default) to extract values for nested components -- Removing max_width constraint allows full-width while keeping internal padding - -### Next iteration should: -- Start Task 5.6: Visual Polish - - Add subtle hover states to interactive elements - - Ensure consistent focus rings for accessibility - - Test responsive behavior at common breakpoints (1366, 1920, 2560px) - - Remove any unused styles from styles.py -- OR run visual verification with `reflex run` to confirm Tasks 5.2-5.5 visually -- After Task 5.6, verify all completion criteria are met - -### Blocked items (Iteration 16): -- None - -## Iteration 17 — 2026-02-05 -### Task: 5.6 Visual Polish -### Why this task: -- Only remaining task in IMPLEMENTATION_PLAN.md — all Tasks 5.1-5.5 marked [x] -- Previous iteration (16) explicitly recommended Task 5.6 as the next step -- Final polish task before project completion -### Status: COMPLETE -### What was done: -1. **Added subtle hover states to interactive elements**: - - KPI badges: subtle lift (translateY(-1px)) and shadow on hover - - Top bar tabs: brighter hover (0.15 opacity instead of 0.1) - - Dropdown triggers: background color change (SLATE_100) + border highlight - - Dropdown items: already had hover states, added border-radius for focus ring - - Buttons (primary/secondary/ghost): enhanced hover with transform/active states - -2. **Added consistent focus rings for accessibility**: - - Dropdown triggers: 2px Pale Blue focus ring using box-shadow - - Top bar tabs: 2px white semi-transparent focus ring - - Dropdown items: inset Primary border focus ring - - Buttons: consistent Pale Blue focus rings with double-ring for primary - - All focus states use both _focus and _focus_visible for keyboard nav - -3. **Cleaned up unused styles**: - - Removed compact_kpi_card_style, compact_kpi_value_style, compact_kpi_label_style (unused Option B from design) - - Cleaned up pathways_app.py imports: removed card_style, input_style, button_ghost_style, chart_container_style, chart_wrapper_style, PAGE_MAX_WIDTH, PAGE_PADDING, text_h3 - - Kept kpi_value_style, kpi_label_style for legacy kpi_card/kpi_row fallback - -4. **Responsive layout already in place**: - - Layout uses calc(100vh - 152px) for height, flexbox for width - - Full-width chart with 16px padding scales to any viewport width - - Visual verification with reflex run recommended but not performed - -### Validation results: -- Tier 1 (Code): [PASS] python -m py_compile passed for both files -- Tier 1 (Code): [PASS] Import check passed for styles and app -- Tier 1 (Code): [PASS] reflex compile succeeded (14.6s) -- Tier 2 (Visual): Pending — requires reflex run to verify hover/focus states -- Tier 3 (Functional): N/A (styling only, no logic changes) - -### Files changed: -- `pathways_app/styles.py` — Added hover/focus states, removed unused compact_kpi_* styles -- `pathways_app/pathways_app.py` — Cleaned up unused imports -- `IMPLEMENTATION_PLAN.md` — Marked Task 5.6 subtasks complete - -### Committed: 9b466b4 "feat: add hover/focus states and clean up unused styles (Task 5.6)" - -### Patterns discovered: -- Using both _focus and _focus_visible ensures keyboard-only focus rings -- Double-ring focus (white inner, color outer) works well for dark buttons -- box-shadow is better than outline for custom focus rings (respects border-radius) -- Subtle hover transforms (translateY(-1px), scale(1.02)) add polish without being distracting - -### Next iteration should: -- ALL TASKS COMPLETE — verify all completion criteria are met -- Run `reflex run` to perform final visual verification of: - 1. Hover states on all interactive elements - 2. Focus rings visible when tabbing through interface - 3. Layout at different viewport sizes (1366, 1920, 2560px) - 4. Design feels modern SaaS (not NHS dashboard) -- If all visual checks pass, output the completion signal - -### Blocked items: -- None