Fix/map page recognition and acquisition api (#353)

* fix: map page recognition with loot badge & add acquisition API

- Move TAB_PROBES[0] y from 0.0417 to 0.0650 to avoid loot badge overlay
- Add GET /api/game/acquisition - OCR recognition of ship/loot counts
- Add GET /api/game/context - game context runtime counters
- Bump version to 2.0.4

* fix: move tab probe[1] down & add debug logging, bump to 2.0.4.post1

- Move TAB_PROBES[1] y from 0.0486 to 0.0650 to avoid tab text pixels
- Add debug logging to is_tabbed_page() for diagnosis
- Bump version to 2.0.4.post1

* chore: comment out debug logging in is_tabbed_page()

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Author: yltx

autowsgr/__init__.py

@@ -1,3 +1,3 @@
 """AutoWSGR — 战舰少女R 自动化框架 (v2)"""
 
-__version__ = '2.0.4'
+__version__ = '2.0.4.post1'

autowsgr/ui/tabbed_page.py

@@ -74,6 +74,11 @@
 from autowsgr.vision import Color, PixelChecker
 
 
+# from autowsgr.infra.logger import get_logger
+
+# _log = get_logger('ui.tabbed')
+
+
 if TYPE_CHECKING:
     from collections.abc import Callable
 
@@ -99,15 +104,15 @@ class TabbedPageType(enum.Enum):
 
 TAB_PROBES: list[tuple[float, float]] = [
     (0.1415, 0.0650),
-    (0.2727, 0.0486),
+    (0.2727, 0.0650),
     (0.4031, 0.0486),
     (0.5352, 0.0486),
     (0.6617, 0.0542),
 ]
 """5 个固定标签栏探测点 (相对坐标)。
 
 激活标签处显示蓝色 ≈ (15, 132, 228)，其余为深色 (max < 80)。
-第 0 号探测点 y 下移至 0.065 以避开 "战利品▲" 徽标遮挡区域。
+第 0、1 号探测点 y 下移至 0.065 以避开标签文字及 "战利品▲" 徽标遮挡区域。
 """
 
 TAB_BLUE = Color.of(15, 132, 228)
@@ -296,13 +301,21 @@ def is_tabbed_page(screen: np.ndarray) -> bool:
     """
     blue_count = 0
     dark_count = 0
-    for x, y in TAB_PROBES:
+    for i, (x, y) in enumerate(TAB_PROBES):
         pixel = PixelChecker.get_pixel(screen, x, y)
-        if pixel.near(TAB_BLUE, TAB_BLUE_TOLERANCE):
+        is_blue = pixel.near(TAB_BLUE, TAB_BLUE_TOLERANCE)
+        is_dark = max(pixel.r, pixel.g, pixel.b) < TAB_DARK_MAX
+        # _log.debug(
+        #     '[TabCheck] probe[{}] ({:.4f},{:.4f}) → ({},{},{}) blue={} dark={}',
+        #     i, x, y, pixel.r, pixel.g, pixel.b, is_blue, is_dark,
+        # )
+        if is_blue:
             blue_count += 1
-        elif max(pixel.r, pixel.g, pixel.b) < TAB_DARK_MAX:
+        elif is_dark:
             dark_count += 1
-    return blue_count == 1 and dark_count == len(TAB_PROBES) - 1
+    result = blue_count == 1 and dark_count == len(TAB_PROBES) - 1
+    # _log.debug('[TabCheck] blue={} dark={} → is_tabbed={}', blue_count, dark_count, result)
+    return result
 
 
 def get_active_tab_index(screen: np.ndarray) -> int | None: