forked from Archives/langchain
docker development image and helper makefile
separate makefile and build env: - separate makefile for docker - only show docker commands when docker detected in system - only rebuild container on change - use an unpriviliged user builder image and base dev image: - fully isolated environment inside container. - all venv installed inside container shell and available as commands. - ex: `docker run IMG jupyter notebook` to launch notebook. - pure python based container without poetry. - custom motd to add a message displayed to users when they connect to container. - print environment versions (git, package, python) on login - display help message when starting containerdocker
parent
c75c0775e1
commit
87d42a7ece
@ -1,6 +1,146 @@
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.venv
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.github
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.git
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.mypy_cache
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.pytest_cache
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Dockerfile
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.vscode/
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.idea/
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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notebooks/
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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.venvs
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# macOS display setting files
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.DS_Store
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# docker
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docker/
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!docker/assets/
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.dockerignore
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# python env
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PYTHON_VERSION=3.11.2
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# langchain env
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OPENAI_API_KEY=${OPENAI_API_KEY:-}
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SERPAPI_API_KEY=${SERPAPI_API_KEY:-}
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# vim: ft=dockerfile
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#
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# see also: https://github.com/python-poetry/poetry/discussions/1879
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# - with https://github.com/bneijt/poetry-lock-docker
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# see https://github.com/thehale/docker-python-poetry
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# see https://github.com/max-pfeiffer/uvicorn-poetry
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# use by default the slim version of python
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ARG PYTHON_IMAGE_TAG=slim
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ARG PYTHON_VERSION=${PYTHON_VERSION:-3.11.2}
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####################
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# Base Environment
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####################
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FROM python:$PYTHON_VERSION-$PYTHON_IMAGE_TAG AS lchain-base
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ARG UID=1000
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ARG USERNAME=lchain
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ENV USERNAME=$USERNAME
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RUN groupadd -g ${UID} $USERNAME
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RUN useradd -l -m -u ${UID} -g ${UID} $USERNAME
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# used for mounting source code
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RUN mkdir /src
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VOLUME /src
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#######################
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## Poetry Builder Image
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#######################
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FROM lchain-base AS lchain-base-builder
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ENV HOME=/root
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ENV POETRY_HOME=/root/.poetry
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ENV POETRY_VIRTUALENVS_IN_PROJECT=false
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ENV POETRY_NO_INTERACTION=1
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ENV CACHE_DIR=$HOME/.cache
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ENV POETRY_CACHE_DIR=$CACHE_DIR/pypoetry
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ENV PATH="$POETRY_HOME/bin:$PATH"
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WORKDIR /root
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RUN apt-get update && \
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apt-get install -y \
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git \
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curl
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SHELL ["/bin/bash", "-o", "pipefail", "-c"]
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RUN mkdir -p $CACHE_DIR
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## setup poetry
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RUN curl -sSL -o $CACHE_DIR/pypoetry-installer.py https://install.python-poetry.org/
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RUN python3 $CACHE_DIR/pypoetry-installer.py
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# # Copy poetry files
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COPY poetry.* pyproject.toml ./
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RUN mkdir /pip-prefix
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RUN poetry export --with dev -f requirements.txt --output requirements.txt --without-hashes && \
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pip install --no-cache-dir --disable-pip-version-check --prefix /pip-prefix -r requirements.txt
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# add custom motd message
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COPY docker/assets/etc/motd /tmp/motd
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RUN cat /tmp/motd > /etc/motd
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RUN printf "\n%s\n%s\n" "$(poetry version)" "$(python --version)" >> /etc/motd
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###################
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## Runtime Image
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###################
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FROM lchain-base AS lchain
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#jupyter port
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EXPOSE 8888
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COPY docker/assets/entry.sh /entry
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RUN chmod +x /entry
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COPY --from=lchain-base-builder /etc/motd /etc/motd
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COPY --from=lchain-base-builder /usr/bin/git /usr/bin/git
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USER ${USERNAME:-lchain}
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ENV HOME /home/$USERNAME
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WORKDIR /home/$USERNAME
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COPY --chown=lchain:lchain --from=lchain-base-builder /pip-prefix $HOME/.local/
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COPY . .
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SHELL ["/bin/bash", "-o", "pipefail", "-c"]
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RUN pip install --no-deps --disable-pip-version-check --no-cache-dir -e .
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entrypoint ["/entry"]
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#do not call this makefile it is included in the main Makefile
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.PHONY: docker docker.jupyter docker.run docker.force_build
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# read python version from .env file
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PYTHON_VERSION := $(shell grep PYTHON_VERSION docker/.env | cut -d '=' -f2)
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DOCKER_SRC := $(shell find docker -type f -not -name .env)
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DOCKER_IMAGE_NAME = langchain/dev
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# SRC is all files matched by the git ls-files command
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SRC := $(shell git ls-files -- '*' ':!:docker/*')
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# set DOCKER_BUILD_PROGRESS=plain to see detailed build progress
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DOCKER_BUILD_PROGRESS ?= auto
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# extra message to show when entering the docker container
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DOCKER_MOTD := docker/assets/etc/motd
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ROOTDIR := $(shell git rev-parse --show-toplevel)
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docker: docker.run
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docker.run: docker.build
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@echo "Docker image: $(DOCKER_IMAGE_NAME):$(GIT_HASH)"
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@docker run --rm -it -u lchain -v $(ROOTDIR):/src $(DOCKER_IMAGE_NAME):$(GIT_HASH)
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@# $(local source mounted at $(ROOTDIR) at /src)
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docker.jupyter: docker.build
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@docker run --rm -it -v $(ROOTDIR):/src $(DOCKER_IMAGE_NAME):$(GIT_HASH) jupyter notebook
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docker.build: $(SRC) $(DOCKER_SRC) $(DOCKER_MOTD)
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ifdef $(DOCKER_BUILDKIT)
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@docker buildx build --build-arg PYTHON_VERSION=$(PYTHON_VERSION) \
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--progress=$(DOCKER_BUILD_PROGRESS) \
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-f docker/Dockerfile -t $(DOCKER_IMAGE_NAME):$(GIT_HASH) .
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else
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@docker build --build-arg PYTHON_VERSION=$(PYTHON_VERSION) \
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-f docker/Dockerfile -t $(DOCKER_IMAGE_NAME):$(GIT_HASH) .
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endif
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@docker tag $(DOCKER_IMAGE_NAME):$(GIT_HASH) $(DOCKER_IMAGE_NAME):latest
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@touch $@ # this avoids docker rebuilds the build dependencies have not changed
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@ # you can remove the file docker_build to force a rebuild
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docker.force_build: $(DOCKER_SRC)
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@docker build --no-cache -f docker/Dockerfile -t $(DOCKER_IMAGE_NAME):$(GIT_HASH) .
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#!/usr/bin/env bash
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export PATH=$HOME/.local/bin:$PATH
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if [ -z "$1" ]; then
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cat /etc/motd
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exec /bin/bash
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fi
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exec "$@"
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The dependencies have been installed in the current shell.
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There is no virtualenv or a need for `poetry` inside the
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container.
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Running the command `make docker.run` at the root directory
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of the project will build the container the first time. On
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the next runs, it will use the cached image or rebuild it if
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a change is made on the source code.
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version: "3.7"
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services:
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langchain:
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hostname: langchain
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image: langchain/dev:latest
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build:
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context: ../
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dockerfile: docker/Dockerfile
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args:
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PYTHON_VERSION: ${PYTHON_VERSION}
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restart: unless-stopped
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ports:
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- 127.0.0.1:8888:8888
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Loading…
Reference in New Issue