更新 docker 配置，替换pip为uv 加速构建

Dockerfile

@@ -1,40 +1,37 @@
-# Change CUDA and cuDNN version here
+FROM ghcr.io/astral-sh/uv:latest AS uv_bin
 FROM nvidia/cuda:12.4.1-base-ubuntu22.04
-ARG PYTHON_VERSION=3.11
 
-ENV DEBIAN_FRONTEND=noninteractive
+# 1. 基础环境配置
+ENV UV_LINK_MODE=copy \
+    UV_COMPILE_BYTECODE=1 \
+    PYTHONUNBUFFERED=1 \
+    # 核心：强制 uv 把虚拟环境建在 /app/.venv
+    UV_PROJECT_ENVIRONMENT=/app/.venv
+
+COPY --from=uv_bin /uv /uvx /bin/
+
+# 2. 安装系统依赖
 RUN apt-get update && apt-get install -y --no-install-recommends \
-        software-properties-common \
-        wget \
-    && add-apt-repository ppa:deadsnakes/ppa \
-    && apt-get update && apt-get install -y --no-install-recommends \
-        python$PYTHON_VERSION \
-        python$PYTHON_VERSION-dev \
-        python$PYTHON_VERSION-venv \
-    && wget https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
-    && python$PYTHON_VERSION get-pip.py \
-    && rm get-pip.py \
-    && ln -sf /usr/bin/python$PYTHON_VERSION /usr/bin/python \
-    && ln -sf /usr/local/bin/pip$PYTHON_VERSION /usr/local/bin/pip \
-    && python --version \
-    && pip --version \
-    && apt-get purge -y --auto-remove software-properties-common \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/*
-
-####### Add your own installation commands here #######
-# RUN pip install some-package
-# RUN wget https://path/to/some/data/or/weights
- RUN apt-get update &&  apt-get install ffmpeg libsm6 libxext6  -y \
-    && apt install -y build-essential g++
+    ffmpeg libsm6 libxext6 build-essential g++ \
+    && apt-get clean && rm -rf /var/lib/apt/lists/*
 
 WORKDIR /app
-COPY . /app
 
-# Install litserve and requirements
-RUN pip install --no-cache-dir litserve==0.2.16
-RUN pip install -r requirements-GPU.txt
-RUN pip install opencv-python
+# 3. 安装依赖 (不加 --system，让 uv 创建受管的虚拟环境)
+# 这里会根据 pyproject.toml 自动下载并安装 Python 3.11
+COPY pyproject.toml uv.lock ./
+RUN uv sync --frozen --no-dev --no-install-project --python 3.11
+
+# 4. 拷贝项目文件并安装项目本身
+COPY . .
+RUN uv sync --frozen --no-dev --python 3.11
+
+# 5. 【最关键】将虚拟环境的 bin 目录提到最前面
+# 注意：uv sync 创建的 python 就在这个目录下
+ENV PATH="/app/.venv/bin:$PATH"
+
 EXPOSE 8000
-CMD ["python", "litserver_main.py"]
-#CMD ["tail", "-f","/dev/null"]
+
+# 验证路径并运行
+# 此时运行 python 实际上是运行 /app/.venv/bin/python
+CMD ["uv", "run","litserver_main.py"]

docker-compose.yml

@@ -13,6 +13,6 @@ services:
         reservations:
           devices:
             - driver: nvidia
-              device_ids: [ '1' ]
+              device_ids: [ '0' ]
               capabilities:
                 - gpu