forked from Archives/langchain
43 lines
1.4 KiB
Docker
43 lines
1.4 KiB
Docker
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# This is a Dockerfile for Developer Container
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# Use the Python base image
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ARG VARIANT="3.11-bullseye"
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FROM mcr.microsoft.com/vscode/devcontainers/python:0-${VARIANT} AS langchain-dev-base
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USER vscode
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# Define the version of Poetry to install (default is 1.4.2)
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# Define the directory of python virtual environment
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ARG PYTHON_VIRTUALENV_HOME=/home/vscode/langchain-py-env \
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POETRY_VERSION=1.4.2
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ENV POETRY_VIRTUALENVS_IN_PROJECT=false \
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POETRY_NO_INTERACTION=true
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# Create a Python virtual environment for Poetry and install it
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RUN python3 -m venv ${PYTHON_VIRTUALENV_HOME} && \
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$PYTHON_VIRTUALENV_HOME/bin/pip install --upgrade pip && \
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$PYTHON_VIRTUALENV_HOME/bin/pip install poetry==${POETRY_VERSION}
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ENV PATH="$PYTHON_VIRTUALENV_HOME/bin:$PATH" \
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VIRTUAL_ENV=$PYTHON_VIRTUALENV_HOME
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# Setup for bash
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RUN poetry completions bash >> /home/vscode/.bash_completion && \
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echo "export PATH=$PYTHON_VIRTUALENV_HOME/bin:$PATH" >> ~/.bashrc
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# Set the working directory for the app
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WORKDIR /workspaces/langchain
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# Use a multi-stage build to install dependencies
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FROM langchain-dev-base AS langchain-dev-dependencies
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ARG PYTHON_VIRTUALENV_HOME
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# Copy only the dependency files for installation
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COPY pyproject.toml poetry.lock poetry.toml ./
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# Install the Poetry dependencies (this layer will be cached as long as the dependencies don't change)
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RUN poetry install --no-interaction --no-ansi --with dev,test,docs
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