refactor(cat-bodhi): deploy pinned upstream source

cat-bodhi/compose.yml

@@ -2,22 +2,24 @@ services:
   cat-bodhi:
     build:
       context: .
-      # GPU 加速：取消下面注释（需先安装 nvidia-container-toolkit）
-      # args:
-      #   TORCH_INDEX: https://download.pytorch.org/whl/cu126
+      args:
+        CAT_BODHI_REF: eaf9d27b4ebe3821da983106a78aa1c745532527
+        CAT_BODHI_ARCHIVE_SHA256: 73257f7c9832dd06f958e43cc41d1dccff91788fe49d5384c104d24c75862d4d
+        # GPU 加速：取消下面注释（需先安装 nvidia-container-toolkit）
+        # TORCH_INDEX: https://download.pytorch.org/whl/cu126
     container_name: cat-bodhi
     restart: unless-stopped
     env_file:
       - .env
     environment:
       - PORT=8080
-      - SPRITE_SEG_ROOT=/opt/sprite_alpha_seg_pytorch
+      - SPRITE_SEG_ROOT=/app/sprite_alpha_seg_pytorch
       - SPRITE_SEG_PYTHON=/usr/local/bin/python
-      - SPRITE_SEG_CHECKPOINT=/opt/sprite_alpha_seg_pytorch/checkpoints/unet_sprite_ft.pt
-      - SPRITE_SEG_OUT_DIR=/opt/sprite_alpha_seg_pytorch/outputs/cat_match
+      - SPRITE_SEG_CHECKPOINT=/app/sprite_alpha_seg_pytorch/checkpoints/unet_sprite_ft.pt
+      - SPRITE_SEG_OUT_DIR=/app/sprite_alpha_seg_pytorch/outputs/cat_match
     volumes:
-      # 模型文件目录（需要手动放入 infer_spritesheet_hybrid.py + checkpoints/）
-      - ./sprite_alpha_seg_pytorch:/opt/sprite_alpha_seg_pytorch:rw
+      # 模型与推理代码来自固定的上游提交，只有生成结果需要持久化。
+      - ./data/sprite-output:/app/sprite_alpha_seg_pytorch/outputs:rw
       # AI 生成图片持久化（可选，不挂载则容器重启后丢失）
       - ./data/assets-ai:/app/assets/ai:rw
     networks:
@@ -66,6 +68,9 @@ services:
       - "xiteng.site.component.cat-bodhi.navigation=new-tab"
       - "xiteng.site.component.cat-bodhi.portal-link=embedded"
 
+      - "org.opencontainers.image.source=https://github.com/ziyuezhou1/CAT-BODHI"
+      - "org.opencontainers.image.revision=eaf9d27b4ebe3821da983106a78aa1c745532527"
+
 networks:
   homelab_net:
     external: true