fix：一些显示bug

tools/icon_work/chk_alpha.py

@@ -0,0 +1,13 @@
+from PIL import Image
+im = Image.open(r"C:\Users\28579\Downloads\resources\resources\netherstar.png")
+print("模式:", im.mode)
+print("尺寸:", im.size)
+print("有 alpha:", im.mode in ("RGBA", "LA"))
+if im.mode in ("RGBA", "LA"):
+    a = im.getchannel("A")
+    print("alpha bbox:", a.getbbox())
+    print("alpha 范围:", a.getextrema())
+    # 采样角落像素，看是不是白/透明
+    w, h = im.size
+    print("左上角:", im.getpixel((0, 0)))
+    print("中心:", im.getpixel((w // 2, h // 2)))

tools/icon_work/fix_bc_label.py

@@ -0,0 +1,33 @@
+p = r"D:\Project\Starlight_Lancher\apps\app-frontend\src\components\ui\Breadcrumbs.vue"
+t = open(p, encoding="utf-8").read()
+
+old = """function resolveLabel(name: string): string {
+	return resolveBreadcrumbLabel(
+		name,
+		(key) => breadcrumbData.getName(key),
+		staticLabels,
+		(message) => formatMessage(message),
+	)
+}"""
+new = """function resolveLabel(name: string): string {
+	return resolveBreadcrumbLabel(
+		name,
+		(key) => breadcrumbData.getName(key) || fallbackDynamicLabel(key),
+		staticLabels,
+		(message) => formatMessage(message),
+	)
+}
+
+// 动态面包屑（?Xxx）在页面异步 setName 之前，回退到静态标签，避免图标与文字不同步
+function fallbackDynamicLabel(key: string): string {
+	const fallback: Record<string, keyof typeof staticLabels> = {
+		BrowseTitle: 'Discover content',
+	}
+	const staticKey = fallback[key]
+	return staticKey ? formatMessage(staticLabels[staticKey]) : ''
+}"""
+
+assert old in t, "resolveLabel 找不到"
+t = t.replace(old, new, 1)
+open(p, "w", encoding="utf-8", newline="\n").write(t)
+print("done")

tools/icon_work/fix_star_png.py

@@ -0,0 +1,32 @@
+from PIL import Image
+import numpy as np
+from scipy import ndimage
+
+src = r"C:\Users\28579\Downloads\resources\resources\netherstar.png"
+dst = r"D:\Project\Starlight_Lancher\apps\app-frontend\public\models\netherstar.png"
+
+im = Image.open(src).convert("RGBA")
+arr = np.array(im, dtype=np.float32)
+r, g, b, a = arr[..., 0], arr[..., 1], arr[..., 2], arr[..., 3]
+
+# 1) 完全不透明像素的位置
+opaque = a >= 254
+# 2) 对每个通道，用最近的不透明像素值填充（距离变换的索引）
+# 用一个临时：在 opaque 区域保留原 RGB，其余待填
+h, w = a.shape
+# 用 scipy 的 distance_transform_edt 拿到"最近的 opaque 像素索引"
+indices = ndimage.distance_transform_edt(~opaque, return_distances=False, return_indices=True)
+nearest_rgb = arr[indices[0], indices[1], :3]
+
+# 3) 半透明区域（a < 254 且 a > 0）的 RGB 换成最近不透明像素颜色
+semi = (a > 0) & (a < 254)
+out = arr.copy()
+out[semi, 0:3] = nearest_rgb[semi]
+
+# 4) 可选：收紧极小 alpha（<8 直接透明），减少杂边
+out[a < 8, 3] = 0
+
+out_img = Image.fromarray(np.clip(out, 0, 255).astype(np.uint8), "RGBA")
+out_img.save(dst)
+print("done ->", dst)
+print("尺寸:", out_img.size)

tools/icon_work/inspect_star.py

@@ -0,0 +1,29 @@
+from PIL import Image
+im = Image.open(r"C:\Users\28579\Downloads\resources\resources\netherstar.png").convert("RGBA")
+w, h = im.size
+# 找 alpha 从 0 到 255 的过渡带，看这些像素的 RGB
+print("=== 半透明白色像素采样 ===")
+cnt = 0
+for y in range(0, h, 5):
+    for x in range(0, w, 5):
+        r, g, b, a = im.getpixel((x, y))
+        if 0 < a < 255 and r > 240 and g > 240 and b > 240:
+            print(f"({x},{y}) RGBA=({r},{g},{b},{a})")
+            cnt += 1
+            if cnt >= 10:
+                break
+    if cnt >= 10:
+        break
+# 对比：全不透明像素的 RGB
+print("\n=== 不透明像素采样 ===")
+cnt = 0
+for y in range(0, h, 5):
+    for x in range(0, w, 5):
+        r, g, b, a = im.getpixel((x, y))
+        if a == 255:
+            print(f"({x},{y}) RGBA=({r},{g},{b},{a})")
+            cnt += 1
+            if cnt >= 5:
+                break
+    if cnt >= 5:
+        break

tools/icon_work/sample_edge.py

@@ -0,0 +1,19 @@
+from PIL import Image
+im = Image.open(r"C:\Users\28579\Downloads\resources\resources\netherstar.png").convert("RGBA")
+w, h = im.size
+print("尺寸:", (w, h))
+# 采样边缘一圈（alpha 低但 RGB 接近白的像素 = "脏"边缘）
+dirty = 0
+total_edge = 0
+for y in range(0, h, 3):
+    for x in range(0, w, 3):
+        r, g, b, a = im.getpixel((x, y))
+        if 0 < a < 255:
+            total_edge += 1
+            # alpha 半透明，但 RGB 很亮（接近白）—— 这就是"没剔干净"的迹象
+            if r > 240 and g > 240 and b > 240:
+                dirty += 1
+print("半透明像素总数:", total_edge)
+print("半透明中 RGB 接近白的（脏边缘）:", dirty)
+if total_edge:
+    print("脏边比例: {:.1f}%".format(dirty / total_edge * 100))