dev_1.0.0_sundp_2 优化Argus-metric模块的e2e部署测试流程 (#27)

Co-authored-by: sundapeng.sdp <sundapeng@hashdata.cn>
Reviewed-on: #27
Reviewed-by: yuyr <yuyr@zgclab.edu.cn>
Reviewed-by: xuxt <xuxt@zgclab.edu.cn>

src/metric/tests/client-test-gpu-node/build/Dockerfile

@@ -0,0 +1,39 @@
+# 使用NVIDIA官方CUDA基础镜像 
+FROM nvidia/cuda:12.2.2-runtime-ubuntu22.04
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+# 设置时区
+ENV TZ=Asia/Shanghai
+
+RUN apt-get update -qq && \
+    apt-get install -y -qq \
+    tzdata \
+    curl \
+    wget \
+    gnupg2 \
+    software-properties-common \
+    ca-certificates \
+    && rm -rf /var/lib/apt/lists/*
+
+# 配置时区
+RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone
+
+WORKDIR /app
+
+# 创建启动脚本，在运行时验证GPU
+COPY <<EOF /app/start.sh
+#!/bin/bash
+echo "检查GPU环境..."
+if command -v nvidia-smi &> /dev/null; then
+    nvidia-smi
+    echo "GPU环境正常"
+else
+    echo "警告: nvidia-smi 命令不可用，请确保容器运行时启用了GPU支持"
+fi
+exec "\$@"
+EOF
+
+RUN chmod +x /app/start.sh
+
+CMD ["/app/start.sh", "/bin/bash"]