https://ops.docs.72602.space/kubernetes/conatiner/template/devcontainer/index.html Java 21 + Go 1.24 Python 3.11 + CUDA 120 Hugo en Thu, 07 Mar 2024 15:00:59 +0800 https://ops.docs.72602.space/kubernetes/conatiner/template/devcontainer/java21_go1.24/index.html Thu, 07 Mar 2024 15:00:59 +0800 https://ops.docs.72602.space/kubernetes/conatiner/template/devcontainer/java21_go1.24/index.html prepare .devcontainer.json { "name": "Go & Java DevContainer", "build": { "dockerfile": "Dockerfile" }, "mounts": [ "source=/root/.kube/config,target=/root/.kube/config,type=bind", "source=/root/.minikube/profiles/minikube/client.crt,target=/root/.minikube/profiles/minikube/client.crt,type=bind", "source=/root/.minikube/profiles/minikube/client.key,target=/root/.minikube/profiles/minikube/client.key,type=bind", "source=/root/.minikube/ca.crt,target=/root/.minikube/ca.crt,type=bind" ], "customizations": { "vscode": { "extensions": [ "golang.go", "vscjava.vscode-java-pack", "redhat.java", "vscjava.vscode-maven", "Alibaba-Cloud.tongyi-lingma", "vscjava.vscode-java-debug", "vscjava.vscode-java-dependency", "vscjava.vscode-java-test" ] } }, "remoteUser": "root", "postCreateCommand": "go version && java -version && mvn -v" } prepare Dockerfile FROM m.daocloud.io/docker.io/ubuntu:24.04 ENV DEBIAN_FRONTEND=noninteractive RUN apt-get update && \ apt-get install -y --no-install-recommends \ ca-certificates \ curl \ git \ wget \ gnupg \ vim \ lsb-release \ apt-transport-https \ && apt-get clean \ && rm -rf /var/lib/apt/lists/* # install OpenJDK 21 RUN mkdir -p /etc/apt/keyrings && \ wget -qO - https://packages.adoptium.net/artifactory/api/gpg/key/public | gpg --dearmor -o /etc/apt/keyrings/adoptium.gpg && \ echo "deb [signed-by=/etc/apt/keyrings/adoptium.gpg arch=amd64] https://packages.adoptium.net/artifactory/deb $(awk -F= '/^VERSION_CODENAME/{print$2}' /etc/os-release) main" | tee /etc/apt/sources.list.d/adoptium.list > /dev/null && \ apt-get update && \ apt-get install -y temurin-21-jdk && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* # set java env ENV JAVA_HOME=/usr/lib/jvm/temurin-21-jdk-amd64 # install maven ARG MAVEN_VERSION=3.9.10 RUN wget https://dlcdn.apache.org/maven/maven-3/${MAVEN_VERSION}/binaries/apache-maven-${MAVEN_VERSION}-bin.tar.gz -O /tmp/maven.tar.gz && \ mkdir -p /opt/maven && \ tar -C /opt/maven -xzf /tmp/maven.tar.gz --strip-components=1 && \ rm /tmp/maven.tar.gz ENV MAVEN_HOME=/opt/maven ENV PATH="${MAVEN_HOME}/bin:${PATH}" # install go 1.24.4 ARG GO_VERSION=1.24.4 RUN wget https://dl.google.com/go/go${GO_VERSION}.linux-amd64.tar.gz -O /tmp/go.tar.gz && \ tar -C /usr/local -xzf /tmp/go.tar.gz && \ rm /tmp/go.tar.gz # set go env ENV GOROOT=/usr/local/go ENV GOPATH=/go ENV PATH="${GOROOT}/bin:${GOPATH}/bin:${PATH}" # install other binarys ARG KUBECTL_VERSION=v1.33.0 RUN wget https://files.m.daocloud.io/dl.k8s.io/release/${KUBECTL_VERSION}/bin/linux/amd64/kubectl -O /tmp/kubectl && \ chmod u+x /tmp/kubectl && \ mv -f /tmp/kubectl /usr/local/bin/kubectl ARG HELM_VERSION=v3.13.3 RUN wget https://files.m.daocloud.io/get.helm.sh/helm-${HELM_VERSION}-linux-amd64.tar.gz -O /tmp/helm-${HELM_VERSION}-linux-amd64.tar.gz && \ mkdir -p /opt/helm && \ tar -C /opt/helm -xzf /tmp/helm-${HELM_VERSION}-linux-amd64.tar.gz && \ rm /tmp/helm-${HELM_VERSION}-linux-amd64.tar.gz ENV HELM_HOME=/opt/helm/linux-amd64 ENV PATH="${HELM_HOME}:${PATH}" USER root WORKDIR /workspace https://ops.docs.72602.space/kubernetes/conatiner/template/devcontainer/python3_11_with_cuda/index.html Thu, 07 Mar 2024 15:00:59 +0800 https://ops.docs.72602.space/kubernetes/conatiner/template/devcontainer/python3_11_with_cuda/index.html prepare .devcontainer.json { "name": "DALI Learning Environment", "build": { "dockerfile": "Dockerfile", "context": "..", "args": { "VARIANT": "3.11", "HTTP_PROXY": "", "HTTPS_PROXY": "", "http_proxy": "", "https_proxy": "" } }, "forwardPorts": [8000], "portsAttributes": { "8000": { "label": "HTTP Server", "protocol": "http", "onAutoForward": "notify" } }, "customizations": { "vscode": { "extensions": [ "ms-python.python", "ms-python.vscode-pylance", "ms-python.debugpy" ], "settings": { "python.defaultInterpreterPath": "/usr/bin/python", "files.exclude": { "**/__pycache__": true, "**/*.pyc": true } } } }, "postCreateCommand": "bash .devcontainer/post-create.sh", "remoteUser": "vscode", "runArgs": [ "-p", "0.0.0.0:8000:8000", "--device=/dev/nvidiactl", "--device=/dev/nvidia0", "--device=/dev/nvidia-uvm", "--device=/dev/nvidia-uvm-tools", "--ipc=host", "--ulimit", "memlock=-1", "--ulimit", "stack=67108864", "--env", "LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/lib/x86_64-linux-gnu:/host/usr/lib/x86_64-linux-gnu" ], "mounts": [ "type=bind,src=${localEnv:HOME}/.ssh,target=/home/vscode/.ssh,readonly", "type=bind,src=https://ops.docs.72602.space/usr/lib/x86_64-linux-gnu,target=/host/usr/lib/x86_64-linux-gnu,readonly", "type=bind,src=https://ops.docs.72602.space/usr/bin/nvidia-smi,target=/usr/bin/nvidia-smi,readonly", "type=bind,src=https://ops.docs.72602.space/usr/bin/nvidia-debugdump,target=/usr/bin/nvidia-debugdump,readonly" ], "containerEnv": { "CUDA_VISIBLE_DEVICES": "0", "NVIDIA_VISIBLE_DEVICES": "all", "NVIDIA_DRIVER_CAPABILITIES": "compute,utility", "HTTP_PROXY": "", "HTTPS_PROXY": "", "http_proxy": "", "https_proxy": "", "NO_PROXY": "", "no_proxy": "" }, "description": "NVIDIA DALI MCP开发环境 - GPU支持的轻量级镜像" } prepare Dockerfile # Use runtime image instead of devel to reduce size (4GB vs 10GB) FROM m.daocloud.io/docker.io/nvidia/cuda:12.1.0-cudnn8-runtime-ubuntu22.04 ENV DEBIAN_FRONTEND=noninteractive ENV TZ=Asia/Shanghai # Add deadsnakes PPA for Python 3.11 and install base dependencies # Clear proxy settings to avoid connection issues during build RUN unset HTTP_PROXY HTTPS_PROXY http_proxy https_proxy && \ apt-get update && apt-get install -y --no-install-recommends \ software-properties-common \ curl \ && add-apt-repository ppa:deadsnakes/ppa -y && \ apt-get update && apt-get install -y --no-install-recommends \ python3.11 \ python3.11-dev \ python3.11-distutils \ python3-pip \ git \ wget \ && rm -rf /var/lib/apt/lists/* # Install Node.js (LTS) for Claude CLI RUN unset HTTP_PROXY HTTPS_PROXY http_proxy https_proxy && \ curl -fsSL https://deb.nodesource.com/setup_lts.x | bash - && \ apt-get install -y --no-install-recommends nodejs && \ rm -rf /var/lib/apt/lists/* # Set NVIDIA library paths ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:${LD_LIBRARY_PATH} ENV CUDA_HOME=/usr/local/cuda ENV PATH=${CUDA_HOME}/bin:${PATH} ENV NVIDIA_VISIBLE_DEVICES=all ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility # Set Python 3.11 as default version RUN unset HTTP_PROXY HTTPS_PROXY http_proxy https_proxy && \ update-alternatives --install /usr/bin/python python /usr/bin/python3.11 1 && \ update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1 # Upgrade pip RUN unset HTTP_PROXY HTTPS_PROXY http_proxy https_proxy && \ python -m pip install --no-cache-dir --upgrade pip setuptools wheel # Install DALI and minimal packages for MCP development RUN unset HTTP_PROXY HTTPS_PROXY http_proxy https_proxy && \ pip install --no-cache-dir \ --extra-index-url https://pypi.nvidia.com \ nvidia-dali-cuda120 \ numpy \ ipython # Create non-root user RUN useradd -m -s /bin/bash vscode && \ mkdir -p /workspace && \ chown -R vscode:vscode /workspace WORKDIR /workspace USER vscode CMD ["/bin/bash"] post-create.sh #!/bin/bash # Clear proxy settings (should already be cleared by containerEnv, but double-check) unset HTTP_PROXY HTTPS_PROXY http_proxy https_proxy # Install MCP SDK and minimal dependencies pip install --no-cache-dir \ -i https://pypi.tuna.tsinghua.edu.cn/simple \ mcp \ anthropic curl -fsSL https://claude.ai/install.sh | bash echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.bashrc && source ~/.bashrc # Create working directories mkdir -p /workspace/scripts echo "✅ DALI environment setup completed!"