e7f1b9c881* chore: Update docker-build.yml to disable pre-release by default
* chore: Update Dockerfiles to set LANGFLOW_HOST and LANGFLOW_PORT
The Dockerfiles have been updated to set the environment variables LANGFLOW_HOST and LANGFLOW_PORT. This ensures that the correct host and port are used when running the langflow application.
* 🔧 (build_and_push_backend.Dockerfile): remove unnecessary host and port configuration to simplify the Dockerfile and focus on backend-only functionality
* chore: Update LANGFLOW_CONFIG_DIR in docker-compose.yml
The LANGFLOW_CONFIG_DIR environment variable in docker-compose.yml has been updated to /app/langflow. This change ensures that the correct directory is used for storing logs, file storage, monitor data, and secret keys.
99 lines
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3.5 KiB
Docker
99 lines
No EOL
3.5 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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FROM python:3.12.3-slim as builder-base
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ENV PYTHONDONTWRITEBYTECODE=1 \
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\
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# pip
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PIP_DISABLE_PIP_VERSION_CHECK=on \
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PIP_DEFAULT_TIMEOUT=100 \
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\
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# poetry
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# https://python-poetry.org/docs/configuration/#using-environment-variables
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POETRY_VERSION=1.8.2 \
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# make poetry install to this location
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POETRY_HOME="/opt/poetry" \
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# make poetry create the virtual environment in the project's root
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# it gets named `.venv`
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POETRY_VIRTUALENVS_IN_PROJECT=true \
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# do not ask any interactive question
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POETRY_NO_INTERACTION=1 \
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\
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# paths
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# this is where our requirements + virtual environment will live
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PYSETUP_PATH="/opt/pysetup" \
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VENV_PATH="/opt/pysetup/.venv"
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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 installing poetry
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curl \
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# deps for building python deps
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build-essential 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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RUN --mount=type=cache,target=/root/.cache \
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curl -sSL https://install.python-poetry.org | python3 -
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WORKDIR /app
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COPY pyproject.toml poetry.lock README.md ./
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COPY src/ ./src
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COPY scripts/ ./scripts
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RUN python -m pip install requests --user && cd ./scripts && python update_dependencies.py
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# 1. Install the dependencies using the current poetry.lock file to create reproducible builds
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# 2. Do not install dev dependencies
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# 3. Install all the extras to ensure all optionals are installed as well
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# 4. --sync to ensure nothing else is in the environment
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# 5. Build the wheel and install "langflow" package (mainly for version)
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# Note: moving to build and installing the wheel will make the docker images not reproducible.
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RUN $POETRY_HOME/bin/poetry lock --no-update \
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# install current lock file with fixed dependencies versions \
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# do not install dev dependencies \
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&& $POETRY_HOME/bin/poetry install --without dev --sync -E deploy -E couchbase -E cassio \
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&& $POETRY_HOME/bin/poetry build -f wheel \
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&& $POETRY_HOME/bin/poetry run pip install dist/*.whl
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################################
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# RUNTIME
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# Setup user, utilities and copy the virtual environment only
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################################
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# 1. use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved
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FROM python:3.12.3-slim as runtime
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RUN apt-get -y update \
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&& apt-get install --no-install-recommends -y \
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curl \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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LABEL org.opencontainers.image.title=langflow
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LABEL org.opencontainers.image.authors=['Langflow']
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LABEL org.opencontainers.image.licenses=MIT
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LABEL org.opencontainers.image.url=https://github.com/langflow-ai/langflow
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LABEL org.opencontainers.image.source=https://github.com/langflow-ai/langflow
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RUN useradd user -u 1000 -g 0 --no-create-home --home-dir /app/data
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COPY --from=builder-base --chown=1000 /app/.venv /app/.venv
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ENV PATH="/app/.venv/bin:${PATH}"
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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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ENTRYPOINT ["python", "-m", "langflow", "run"] |