diff --git a/.dockerignore b/.dockerignore index a0ed6e39..c71e707c 100644 --- a/.dockerignore +++ b/.dockerignore @@ -5,6 +5,8 @@ .idea # Python caches +.venv/ +.uv-cache/ __pycache__/ *.pyc @@ -12,6 +14,9 @@ __pycache__/ logs/ output/ data/ +test/ +tests/ +ui/storage/ # Frontend artifacts **/node_modules/ diff --git a/.github/workflows/ci-smoke.yml b/.github/workflows/ci-smoke.yml index 311c3f77..2815c7b4 100644 --- a/.github/workflows/ci-smoke.yml +++ b/.github/workflows/ci-smoke.yml @@ -21,7 +21,15 @@ jobs: python-version: "3.12" - name: Install uv - run: python -m pip install --upgrade pip uv + run: python -m pip install --upgrade pip uv==0.12.0 + + - name: Validate dependency lock + run: | + uv lock --check + if grep -Eq 'name = "nvidia-cuda-(cccl|crt|nvcc|nvrtc|runtime|tileiras)"|nvidia-cutlass-dsl-libs-cu13|extra = \["cu13"\]' uv.lock; then + echo "CUDA 13 runtime/compiler dependency found in uv.lock" + exit 1 + fi - name: Sync Python dependencies run: uv sync @@ -52,3 +60,21 @@ jobs: - name: Build frontend run: npm run build + + dependency-resolution: + name: Resolve unified all-extras environment + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v5 + + - name: Set up Python + uses: actions/setup-python@v6 + with: + python-version: "3.12" + + - name: Install uv + run: python -m pip install --upgrade pip uv==0.12.0 + + - name: Verify unified environment + run: uv sync --frozen --dry-run --no-dev --all-extras diff --git a/Dockerfile b/Dockerfile index 72e09fc3..f7b2d85a 100644 --- a/Dockerfile +++ b/Dockerfile @@ -6,9 +6,9 @@ RUN npm ci COPY ui/frontend/ ./ RUN npm run build -FROM nvidia/cuda:13.1.1-base-ubuntu24.04 +FROM nvidia/cuda:12.9.1-base-ubuntu24.04 -COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ +COPY --from=ghcr.io/astral-sh/uv:0.12.0 /uv /uvx /bin/ ENV DEBIAN_FRONTEND=noninteractive \ PYTHONUNBUFFERED=1 \ @@ -32,4 +32,4 @@ RUN uv sync --frozen --no-dev --all-extras EXPOSE 5050 -CMD ["ultrarag", "show", "ui", "--port", "5050", "--host", "0.0.0.0"] \ No newline at end of file +CMD ["ultrarag", "show", "ui", "--port", "5050", "--host", "0.0.0.0"] diff --git a/Dockerfile.base-cpu b/Dockerfile.base-cpu index 1ed1aa02..d51569f8 100644 --- a/Dockerfile.base-cpu +++ b/Dockerfile.base-cpu @@ -1,6 +1,6 @@ FROM ubuntu:24.04 -COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ +COPY --from=ghcr.io/astral-sh/uv:0.12.0 /uv /uvx /bin/ ENV DEBIAN_FRONTEND=noninteractive \ PYTHONUNBUFFERED=1 \ @@ -23,4 +23,4 @@ RUN uv sync --frozen --no-dev EXPOSE 5050 -CMD ["ultrarag", "show", "ui", "--port", "5050", "--host", "0.0.0.0"] \ No newline at end of file +CMD ["ultrarag", "show", "ui", "--port", "5050", "--host", "0.0.0.0"] diff --git a/Dockerfile.base-gpu b/Dockerfile.base-gpu index ead24d1c..6452e6c7 100644 --- a/Dockerfile.base-gpu +++ b/Dockerfile.base-gpu @@ -1,6 +1,6 @@ -FROM nvidia/cuda:13.1.1-base-ubuntu24.04 +FROM nvidia/cuda:12.9.1-base-ubuntu24.04 -COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ +COPY --from=ghcr.io/astral-sh/uv:0.12.0 /uv /uvx /bin/ ENV DEBIAN_FRONTEND=noninteractive \ PYTHONUNBUFFERED=1 \ diff --git a/README.md b/README.md index c47eb05b..e3bc6e34 100644 --- a/README.md +++ b/README.md @@ -127,9 +127,9 @@ If you haven't installed uv yet, please execute: ```shell ## Direct installation -pip install uv +pip install uv==0.12.0 ## Download -curl -LsSf https://astral.sh/uv/install.sh | sh +curl -LsSf https://astral.sh/uv/0.12.0/install.sh | sh ``` **Download Source Code** @@ -154,6 +154,10 @@ Choose one of the following modes to install dependencies based on your use case ```shell uv sync --all-extras ``` + This is the recommended team setup: every MCP server shares the same + `.venv` and `uv.lock`. Linux GPU dependencies are locked to CUDA 12.9, + including the official vLLM cu129 wheel. + - On-demand installation: If you only need to run specific modules, keep the corresponding `--extra` as needed, for example: ```shell diff --git a/docs/README_zh.md b/docs/README_zh.md index 9c77ca37..f931a5c7 100644 --- a/docs/README_zh.md +++ b/docs/README_zh.md @@ -127,9 +127,9 @@ https://github.com/user-attachments/assets/9cca0d4f-fb47-4232-9e47-69bfbb7b5d5d ```shell ## 直接安装 -pip install uv +pip install uv==0.12.0 ## 下载 -curl -LsSf https://astral.sh/uv/install.sh | sh +curl -LsSf https://astral.sh/uv/0.12.0/install.sh | sh ``` **下载源码** @@ -154,6 +154,10 @@ cd UltraRAG ```shell uv sync --all-extras ``` + 这是推荐的团队安装方式：所有 MCP Server 共用同一个 `.venv` 和 + `uv.lock`。Linux GPU 依赖统一锁定在 CUDA 12.9，包括官方 vLLM cu129 + wheel。 + - 按需安装：如果您只需运行指定模块，请保留对应 `--extra`，例如： ```shell uv sync --extra retriever # 检索模块 diff --git a/pyproject.toml b/pyproject.toml index 52c7ea2c..feb8735d 100644 --- a/pyproject.toml +++ 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