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| # syntax=docker/dockerfile:1 | |
| # Keep this syntax directive! It's used to enable Docker BuildKit | |
| ################################ | |
| # BUILDER-BASE | |
| # Used to build deps + create our virtual environment | |
| ################################ | |
| # 1. use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved | |
| # 2. do not add --platform=$BUILDPLATFORM because the pydantic binaries must be resolved for the final architecture | |
| # Use a Python image with uv pre-installed | |
| FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS builder | |
| # Install the project into `/app` | |
| WORKDIR /app | |
| # Enable bytecode compilation | |
| ENV UV_COMPILE_BYTECODE=1 | |
| # Copy from the cache instead of linking since it's a mounted volume | |
| ENV UV_LINK_MODE=copy | |
| RUN apt-get update \ | |
| && apt-get install --no-install-recommends -y \ | |
| # deps for building python deps | |
| build-essential \ | |
| git \ | |
| # npm | |
| npm \ | |
| # gcc | |
| gcc \ | |
| && apt-get clean \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Install the project's dependencies using the lockfile and settings | |
| # We need to mount the root uv.lock and pyproject.toml to build the base with uv because we're still using uv workspaces | |
| RUN --mount=type=cache,target=/root/.cache/uv \ | |
| --mount=type=bind,source=src/backend/base/README.md,target=src/backend/base/README.md \ | |
| --mount=type=bind,source=src/backend/base/uv.lock,target=src/backend/base/uv.lock \ | |
| --mount=type=bind,source=src/backend/base/pyproject.toml,target=src/backend/base/pyproject.toml \ | |
| --mount=type=bind,source=uv.lock,target=uv.lock \ | |
| --mount=type=bind,source=README.md,target=README.md \ | |
| --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ | |
| cd src/backend/base && uv sync --frozen --no-install-project --no-dev --no-editable | |
| ADD ./src /app/src | |
| COPY src/frontend /tmp/src/frontend | |
| WORKDIR /tmp/src/frontend | |
| RUN npm install \ | |
| && npm run build \ | |
| && cp -r build /app/src/backend/base/langflow/frontend \ | |
| && rm -rf /tmp/src/frontend | |
| ADD ./src/backend/base /app/src/backend/base | |
| WORKDIR /app/src/backend/base | |
| # again we need these because of workspaces | |
| ADD ./pyproject.toml /app/pyproject.toml | |
| ADD ./uv.lock /app/uv.lock | |
| ADD ./src/backend/base/pyproject.toml /app/src/backend/base/pyproject.toml | |
| ADD ./src/backend/base/uv.lock /app/src/backend/base/uv.lock | |
| ADD ./src/backend/base/README.md /app/src/backend/base/README.md | |
| RUN --mount=type=cache,target=/root/.cache/uv \ | |
| uv sync --frozen --no-dev --no-editable | |
| ################################ | |
| # RUNTIME | |
| # Setup user, utilities and copy the virtual environment only | |
| ################################ | |
| FROM python:3.12.3-slim AS runtime | |
| RUN useradd user -u 1000 -g 0 --no-create-home --home-dir /app/data | |
| # and we use the venv at the root because workspaces | |
| COPY --from=builder --chown=1000 /app/.venv /app/.venv | |
| # Place executables in the environment at the front of the path | |
| ENV PATH="/app/.venv/bin:$PATH" | |
| LABEL org.opencontainers.image.title=langflow | |
| LABEL org.opencontainers.image.authors=['Langflow'] | |
| LABEL org.opencontainers.image.licenses=MIT | |
| LABEL org.opencontainers.image.url=https://github.com/langflow-ai/langflow | |
| LABEL org.opencontainers.image.source=https://github.com/langflow-ai/langflow | |
| USER user | |
| WORKDIR /app | |
| ENV LANGFLOW_HOST=0.0.0.0 | |
| ENV LANGFLOW_PORT=7860 | |
| CMD ["langflow-base", "run"] | |