docs: update progress.txt with iteration 31 (Task 9.9 complete — Duration chart)

2026-02-06 20:13:42 +00:00
parent 965fc8c3d2
commit e4d6c8886b
1 changed files with 60 additions and 0 deletions
@@ -1738,3 +1738,63 @@ Console error: `WARN: Multiple implied roots, cannot build icicle hierarchy of t
 - Data returns: list of dicts with `drug`, `directory`, `trust_name`, `avg_days`, `patients`, `cost_pp_pa`
 ### Blocked items:
 - None
 ## Iteration 31 — 2026-02-06
 ### Task: Phase 9 — Task 9.9 (Treatment Duration chart — Tab 8)
 ### Why this task:
 - Tasks 9.1–9.8 complete. Task 9.9 is the last chart to implement before final integration (9.10).
 - Progress.txt from iteration 30 explicitly recommended this task.
 - Uses existing `get_treatment_durations()` query which returns avg_days per drug.
 ### Status: COMPLETE
 ### What was done:
 - **Created `create_duration_figure(data, title, show_directory)` in `src/visualization/plotly_generator.py`** (~120 lines):
  - Horizontal bar chart: Y-axis = drug names, X-axis = average duration in days
  - Colour gradient by patient count: light NHS blue (#41B6E6) → dark NHS blue (#003087)
  - When `show_directory=False` (default), aggregates same drug across directorates (weighted avg by patients)
  - When `show_directory=True` (indication mode without directory filter), shows directory in label
  - Caps at 40 entries for readability (keeps highest patient count entries, then re-sorts by avg_days)
  - Rich hover: drug name, days + years, patient count
  - Patient count annotations (n=X) at bar end
  - Dynamic height: 40 + n_bars * 28 pixels (minimum 400)
  - NHS styling: Source Sans 3, transparent bg, left margin 200 for drug labels
 - **Added `_render_duration(app_state, title)` helper in `dash_app/callbacks/chart.py`**:
  - Extracts filter params: date_filter_id, chart_type, single directory, single trust
  - Calls `get_treatment_durations()` wrapper then `create_duration_figure()`
  - Sets `show_directory=True` for indication mode without a directory filter
  - Handles empty data and exceptions gracefully
 - **Wired into `update_chart` dispatch**: `active_tab == "duration"` → `_render_duration()`
 ### Validation results:
 - Tier 1 (Code): `from dash_app.app import app` — OK
 - Tier 1 (App starts): `python run_dash.py` → "Dash is running on http://127.0.0.1:8050/" — no errors
 - Tier 3 (Functional):
  - Directory mode (no filter): 36 bars (aggregated across directorates)
  - Directory mode + RHEUMATOLOGY filter: 16 bars
  - Directory mode + DERMATOLOGY filter: 11 bars
  - Indication mode (no filter): 40 bars (capped from 108)
  - Trust filter (NNUH): 28 bars
  - Date filter (2yr_12mo): responds correctly
  - Empty data: returns empty figure — handled correctly
  - Icicle, market share, cost waterfall, Sankey, dosing, heatmap — no regressions
 ### Files changed:
 - `src/visualization/plotly_generator.py` — Added: `create_duration_figure()` (~120 lines)
 - `dash_app/callbacks/chart.py` — Added: `_render_duration()` helper + dispatch branch
 - `IMPLEMENTATION_PLAN.md` — Task 9.9 marked [x]
 ### Committed: 965fc8c "feat: add Treatment Duration bar chart (Task 9.9)"
 ### Patterns discovered:
 - Aggregation across directorates is needed when no directory filter is applied — same drug can appear in multiple directorates with different avg_days. Weighted average by patient count is the correct aggregation.
 - Capping at 40 entries (by patient count, then re-sorted by avg_days) keeps charts readable while preserving clinically significant entries.
 - For indication mode, `show_directory=True` helps distinguish the same drug in different contexts (e.g., "USTEKINUMAB (psoriasis)" vs "USTEKINUMAB (Crohn's disease)").
 - Colour interpolation from light (#41B6E6) to dark (#003087) provides immediate visual cue: darker bars = more patients = more statistically reliable duration data.
 ### Next iteration should:
 - Start Task 9.10 — Final integration + polish
 - All 8 chart tabs are now implemented (Tasks 9.1–9.9 complete)
 - Sub-steps for 9.10:
  1. Verify all 8 tabs switch smoothly with no unnecessary recomputation
  2. Verify each chart responds to filter changes (date, chart type, trust, directorate, drug)
  3. Test with both "directory" and "indication" chart types
  4. Verify icicle chart still works correctly (no regressions)
  5. Update CLAUDE.md with new chart types, callback files, and query functions
 - Key checks: tab switching should dispatch only to the active tab's figure builder, no "coming soon" placeholders should remain
 - Review all Phase 9 completion criteria in IMPLEMENTATION_PLAN.md
 ### Blocked items:
 - None