c1097d2dde* bash -x * bash verbose * combine bash calls in uv run * combined python script * relative dir * pass args correctly * pass args correctly * function name * fix arg order * merge base and main * remove nightly -ep docker image for now * set up uv in the get-version job in docker-build.yml * v prefix for version in build job * use inputs.nightly_tag_main for checkout actions * mount root project metadata for base build * fix comment * continued dockerfile fixes for workspaces setup * fix path * ruff check fix
91 lines
3.3 KiB
Docker
91 lines
3.3 KiB
Docker
# syntax=docker/dockerfile:1
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# Keep this syntax directive! It's used to enable Docker BuildKit
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################################
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# BUILDER-BASE
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# Used to build deps + create our virtual environment
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################################
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# 1. use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved
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# 2. do not add --platform=$BUILDPLATFORM because the pydantic binaries must be resolved for the final architecture
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# Use a Python image with uv pre-installed
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FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS builder
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# Install the project into `/app`
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WORKDIR /app
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# Enable bytecode compilation
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ENV UV_COMPILE_BYTECODE=1
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# Copy from the cache instead of linking since it's a mounted volume
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ENV UV_LINK_MODE=copy
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RUN apt-get update \
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&& apt-get install --no-install-recommends -y \
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# deps for building python deps
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build-essential \
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# npm
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npm \
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# gcc
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gcc \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# Install the project's dependencies using the lockfile and settings
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# We need to mount the root uv.lock and pyproject.toml to build the base with uv because we're still using uv workspaces
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RUN --mount=type=cache,target=/root/.cache/uv \
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--mount=type=bind,source=src/backend/base/README.md,target=src/backend/base/README.md \
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--mount=type=bind,source=src/backend/base/uv.lock,target=src/backend/base/uv.lock \
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--mount=type=bind,source=src/backend/base/pyproject.toml,target=src/backend/base/pyproject.toml \
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--mount=type=bind,source=uv.lock,target=uv.lock \
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--mount=type=bind,source=README.md,target=README.md \
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--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
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cd src/backend/base && uv sync --frozen --no-install-project --no-dev --no-editable
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ADD ./src /app/src
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COPY src/frontend /tmp/src/frontend
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WORKDIR /tmp/src/frontend
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RUN npm install \
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&& npm run build \
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&& cp -r build /app/src/backend/base/langflow/frontend \
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&& rm -rf /tmp/src/frontend
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ADD ./src/backend/base /app/src/backend/base
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WORKDIR /app/src/backend/base
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# again we need these because of workspaces
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ADD ./pyproject.toml /app/pyproject.toml
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ADD ./uv.lock /app/uv.lock
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ADD ./src/backend/base/pyproject.toml /app/src/backend/base/pyproject.toml
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ADD ./src/backend/base/uv.lock /app/src/backend/base/uv.lock
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ADD ./src/backend/base/README.md /app/src/backend/base/README.md
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --frozen --no-dev --no-editable
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################################
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# RUNTIME
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# Setup user, utilities and copy the virtual environment only
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################################
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FROM python:3.12.3-slim AS runtime
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RUN useradd user -u 1000 -g 0 --no-create-home --home-dir /app/data
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# and we use the venv at the root because workspaces
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COPY --from=builder --chown=1000 /app/.venv /app/.venv
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# Place executables in the environment at the front of the path
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ENV PATH="/app/.venv/bin:$PATH"
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LABEL org.opencontainers.image.title=langflow
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LABEL org.opencontainers.image.authors=['Langflow']
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LABEL org.opencontainers.image.licenses=MIT
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LABEL org.opencontainers.image.url=https://github.com/langflow-ai/langflow
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LABEL org.opencontainers.image.source=https://github.com/langflow-ai/langflow
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USER user
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WORKDIR /app
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ENV LANGFLOW_HOST=0.0.0.0
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ENV LANGFLOW_PORT=7860
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CMD ["langflow-base", "run"]
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