ba-auto-daily/ba_auto/reference_notes/mapping.md

# Reference mapping

Maps each local feature to the corresponding `~/repo/baas-reference/module/...` implementation, driver/backend replacements, and current status. Update this before/while implementing or migrating a feature — see `CLAUDE.md` → "Reference mapping notes" and `plan.md` → "Reference mapping table".

| Local feature | Reference file | Reference functions/classes | Local file | Backend replacements | Status |
|---|---|---|---|---|---|
| Mailbox | `module/mail.py` | `to_mail`, `implement` | `ba_auto/tasks/mailbox.py` | tap/click via xdotool, screenshot via scrot, `color.rgb_in_range` → `driver.color_at` pixel-probe check | Migrated: real Python, state-verified via color probe (no legacy bridge) |
| Cafe | `module/cafe_reward.py` | `to_cafe` (its `relationship_rank_up` popup-handling now also ported, see below), `interaction_for_cafe_solve_method3`, `collect` | `ba_auto/tasks/cafe.py` | `picture.co_detect`/`color.rgb_in_range` → `driver.color_at` pixel-probe checks; sparkle template match ported in-process into `ba_auto/detector.py` (`find_cafe_sparkle`, now multi-scale) | Migrated: real Python, state-verified via color probes (no legacy bridge). Pat loop now polls for the full attempt budget instead of stopping on the first miss (see `plan.md` Phase 6 follow-up) — not yet confirmed against a live sparkle since none was available during testing. `_dismiss_rank_up_if_shown` reuses `navigation.is_on_subscreen` to detect and clear the full-screen bond-rank-up cutscene after a pat (see `plan.md` Phase 6 follow-up: rank-up popups) — not yet live-confirmed against a real trigger |
| Stamina/AP | `module/collect_daily_free_power.py`, `module/collect_daily_task_power.py` | `to_tasks`/`implement` (task-power, ported); `to_purchase_pyroxenes_menu` (free-power, not ported) | `ba_auto/tasks/stamina.py` | `color.rgb_in_range` → `driver.color_at`; reference's per-tab claim loop → live UI's single "一括受取" bulk-claim button + Enter | Partially migrated: Mission-panel claim done (see `plan.md` Phase 8). Daily Free Power (real-money purchase menu) deliberately not automated |
| Normal/Hard story AP sweep | `module/explore_tasks/sweep_task.py`, `module/explore_tasks/task_utils.py` | `to_region` (ported: OCR region-number readout + delta-click), a scoped-down `swipe_search_target_str` (ported: OCR stage-row label matching), `start_sweep`'s named-outcome contract (ported via `navigation.wait_for_state`, this project's scoped `co_detect` port) | `ba_auto/tasks/story_sweep.py` | OCR region/stage-name matching, ported for real (Phase 10) — replaces Phase 9's "next-region arrow stops advancing, then random stage" heuristic; MAX click verified via `SWEEP_MINUS_BUTTON_PROBE` color check (reused, still correct), modal closed via its own X button (Escape doesn't close it; X-button position re-calibrated per stage-layout variant, see Phase 10) | Done (see `plan.md` Phase 10, supersedes Phase 9). Config-driven exact `(region, stage, count)` targets (`config.STORY_SWEEP_TARGETS`), not latest-region/random-stage. Opt-in only, not in default flow |
| Group/Club AP | `module/group.py` | Need to inspect | `ba_auto/tasks/group.py` | fixed click + state check via local driver | Not started |
| Bounty | `module/rewarded_task.py` | Need to inspect | `ba_auto/tasks/bounty.py` | sweep/color/OCR adaptation | Not started |
| Commissions | `module/clear_special_task_power.py` | Need to inspect | `ba_auto/tasks/commission.py` | sweep/color adaptation | Not started |
| Arena | `module/arena.py` | Need to inspect | `ba_auto/tasks/arena.py` | auto-fight + OCR + local driver | Not started |
| Common Shop | `module/shop/common_shop.py`, `module/shop/shop_utils.py` | `implement`, `to_common_shop`, `get_item_position`/`ensure_choose`/`buy` (shared, see Tactical Shop row) | `ba_auto/tasks/shop_common.py`, `ba_auto/tasks/shop_utils.py` | `get_item_position`'s color+template item-state scan → fixed grid-position targets (`config.COMMON_SHOP_TARGETS`) + price-digit OCR verify, since the reference's own item-identification here indexes an external static price table (`self.static_config.common_shop_price_list`, fetched from a remote resource) this repo doesn't have — not per-item OCR, so this isn't an OCR-avoidance shortcut. Purchase-confirm dialog + reward-acquired banner handled via a single overlay-darkness probe (`config.SHOP_OVERLAY_PROBE`) instead of tracking each dialog's own layout | Done. Live-tested with real purchases (all 8 configured targets bought, cost matched exactly). Discovered live: these items have a per-refresh-cycle purchase cap not shown as a visible counter (unlike the 青輝石 tab's "あと1回購入可能" labels) — confirmed by re-running the task after purchase and observing it correctly detect the now-unselectable items (checkbox + individual 購入 button both unresponsive) and safely decline rather than guess. A fresh, everything-available run hasn't been re-verified since the account had already exhausted this cycle's purchases via that same test |
| Tactical Shop | `module/shop/tactical_challenge_shop.py`, `module/shop/shop_utils.py` | `implement`, `goto_shop_by_name`, shared `get_item_position`/`ensure_choose`/`buy` | `ba_auto/tasks/shop_tactical.py`, `ba_auto/tasks/shop_utils.py` | `goto_shop_by_name`'s OCR swipe-search over the shop-tab list → fixed click (`config.SHOP_TAB_TACTICAL`): this account's tab list is only 7 entries and fits on screen with no scroll needed, confirmed live, so there's nothing to search for — not an OCR-avoidance shortcut. Same grid-position + price-OCR-verify + overlay-probe design as Common Shop, sharing `shop_utils.run_shop_tab` | Done. Live-tested with real purchases (both configured AP-recovery drinks bought; AP and tactical-coin balance changes matched exactly) |
| Lesson/Schedule | `module/lesson.py` | `implement`, `to_lesson_location_select`/`to_select_location`/`to_all_locations` (nav state machine), `get_lesson_region_num`/`switch_lesson_region_page`/`to_lesson_region` (paged region nav), `get_lesson_each_region_status`+`check_region_availability` (per-cell status via isometric-parallelogram pixel scan), `get_lesson_relationship_counts` (per-cell affection pip count via color count), `choose_lesson` (selection policy), `execute_lesson`/`to_location_info`/`start_lesson` (click cell -> info panel -> start -> result) | `ba_auto/tasks/lesson.py` | `picture.co_detect` -> `navigation.wait_for_state`-style bounded Enter-press loop (see below); the reference's paged-arrow region nav (needing OCR to know current position) -> this client renders the 12 regions as a scrollable list instead, which only ever settles at two scroll positions (`config.LESSON_REGION_ROW_Y`), so navigation is direct index-based clicking with nothing to OCR-locate; the reference's isometric `Parallelogram`/`Triangle` per-cell scan (tuned to the reference's own screen layout) -> reading each portrait's heart-shaped affection badge via a dedicated OCR path (`detector.read_int_on_heart_badge`) needs no isometric geometry at all | Done. Config-driven scope only in the sense of the *policy* (affection-first selection, sweep every unlocked region until tickets/lessons run out, no ticket purchasing, no favor-student targeting) -- unlike shop, no user-specific target list was needed since the reference's own `lesson_region_name.JP` (embedded directly in its `default_config.py`, not externally fetched) already names all 12 regions, used here only for logging. Live-tested for real: 5 real tickets spent across 3 regions with correct outcomes (ticket count, cleanup navigation, home-screen return all verified). Two real bugs were found and fixed from that run -- see below and `plan.md`'s Lesson phase |

Do not implement a feature without filling at least the relevant row.