refactor(cat-bodhi): deploy pinned upstream source

cat-bodhi/.dockerignore

@@ -1,5 +1,2 @@
-node_modules
-.git
-*.md
-start-local-ai.bat
-/tmp
+*
+!Dockerfile

cat-bodhi/Dockerfile

@@ -1,3 +1,5 @@
+# syntax=docker/dockerfile:1.7
+
 # CAT-BODHI Sprite Segmentation API
 # Node.js + Python + PyTorch in one container
 #
@@ -11,6 +13,8 @@ FROM python:3.11-slim
 ARG NODE_MAJOR=22
 ARG TORCH_INDEX=https://download.pytorch.org/whl/cpu
 ARG PIP_MIRROR=https://pypi.tuna.tsinghua.edu.cn/simple
+ARG CAT_BODHI_REF=eaf9d27b4ebe3821da983106a78aa1c745532527
+ARG CAT_BODHI_ARCHIVE_SHA256=73257f7c9832dd06f958e43cc41d1dccff91788fe49d5384c104d24c75862d4d
 
 # 中科大 Debian 镜像源
 RUN sed -i 's|http://deb.debian.org/debian|https://mirrors.ustc.edu.cn/debian|g' /etc/apt/sources.list.d/debian.sources \
@@ -35,8 +39,13 @@ RUN pip install --no-cache-dir \
     Pillow
 
 WORKDIR /app
-COPY . .
-RUN mkdir -p assets/ai/cats assets/ai/beads
+RUN curl -fL --retry 5 --retry-all-errors --connect-timeout 20 \
+      "https://codeload.github.com/ziyuezhou1/CAT-BODHI/tar.gz/${CAT_BODHI_REF}" \
+      -o /tmp/cat-bodhi.tar.gz \
+    && echo "${CAT_BODHI_ARCHIVE_SHA256}  /tmp/cat-bodhi.tar.gz" | sha256sum -c - \
+    && tar -xzf /tmp/cat-bodhi.tar.gz --strip-components=1 -C /app \
+    && rm /tmp/cat-bodhi.tar.gz \
+    && mkdir -p assets/ai/cats assets/ai/beads
 
 EXPOSE 8080
 ENV PORT=8080

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