diff --git a/conductor/tracks/result_migration_20260616/spec.md b/conductor/tracks/result_migration_20260616/spec.md index 51547a2b..d0dde7c9 100644 --- a/conductor/tracks/result_migration_20260616/spec.md +++ b/conductor/tracks/result_migration_20260616/spec.md @@ -39,7 +39,7 @@ sites** across the codebase. 1. `result_migration_review_pass` (T-shirt: S) — 57 sites (32 UNCLEAR + 25 INTERNAL_RETHROW); updates the audit's heuristics 2. `result_migration_small_files` (T-shirt: L) — 37 files (35 SMALL + 2 MEDIUM; 72 V+S sites) 3. `result_migration_app_controller` (T-shirt: XL) — 56 sites (35 V + 3 S + 2 ? + 16 C; 13 FastAPI boundary stay as-is) -4. `result_migration_gui_2` (T-shirt: XL) — 54 sites (37 V + 2 S + 13 ? + 2 C) +4. `result_migration_gui_2` (T-shirt: XL) — **55 sites** (37 V + 2 S + **14 ?** + 2 C; the 14 ? includes the +1 site from the review pass: `src/gui_2.py:1349`) 5. `result_migration_baseline_cleanup` (T-shirt: L) — 112 sites (77 V + 10 S + 6 ? + 19 C in the 3 refactored files) **Total: 5 sub-tracks, 268 sites migrated, ~2100 lines changed across ~42 files.** @@ -155,7 +155,7 @@ MMA conductor, and the RAG engine. #### Sub-track 4: `result_migration_gui_2_` -**Scope:** `src/gui_2.py` (260KB); 54 sites (37 V + 2 S + 13 ? + 2 C). +**Scope:** `src/gui_2.py` (260KB); **55 sites** (37 V + 2 S + **14 ?** + 2 C; the 14 ? includes the +1 site from the review pass: `src/gui_2.py:1349`). **T-shirt size:** XL (the largest file; immediate-mode UI; ~700 lines changed in 1 file). **Why dedicated:** the largest file in the codebase. The immediate-mode @@ -164,7 +164,7 @@ be done incrementally with the hot-reload mechanism (`Ctrl+Alt+R`) so the user can verify each change visually. **What it does:** -- Migrates the 37 V + 2 S + 13 ? = 52 migration-target sites. +- Migrates the 37 V + 2 S + 14 ? = **53 migration-target sites** (the 14 ? includes the +1 site from the review pass: `src/gui_2.py:1349`, the only UNCLEAR site the review pass classified as migration-target). - The 2 compliant sites stay as-is. - The 13 UNCLEAR sites are the trickiest (per sub-track 1's review pass). - Uses the hot-reload mechanism for visual verification.