mirror of https://github.com/hwchase17/langchain
Having dev containers makes its easier, faster and secure to setup the
dev environment for the repository.
The pull request consists of:
- .devcontainer folder with:
- **devcontainer.json :** (minimal necessary vscode extensions and
settings)
- **docker-compose.yaml :** (could be modified to run necessary services
as per need. Ex vectordbs, databases)
- **Dockerfile:**(non root with dev tools)
- Changes to README - added the Open in Github Codespaces Badge - added
the Open in dev container Badge
Co-authored-by: Jinto Jose <129657162+jj701@users.noreply.github.com>
pull/4115/head^2
Zander Chase
1 year ago
committed by
GitHub
parent
d86ed15d88
commit
ac0a9d02bd
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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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// For format details, see https://aka.ms/devcontainer.json. For config options, see the
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// README at: https://github.com/devcontainers/templates/tree/main/src/docker-existing-dockerfile
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{
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"dockerComposeFile": "./docker-compose.yaml",
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"service": "langchain",
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"workspaceFolder": "/workspaces/langchain",
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"name": "langchain",
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"customizations": {
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"vscode": {
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"extensions": [
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"ms-python.python"
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],
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"settings": {
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"python.defaultInterpreterPath": "/home/vscode/langchain-py-env/bin/python3.11"
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}
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}
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},
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// Features to add to the dev container. More info: https://containers.dev/features.
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"features": {},
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// Use 'forwardPorts' to make a list of ports inside the container available locally.
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// "forwardPorts": [],
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// Uncomment the next line to run commands after the container is created.
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// "postCreateCommand": "cat /etc/os-release",
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// Uncomment to connect as an existing user other than the container default. More info: https://aka.ms/dev-containers-non-root.
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// "remoteUser": "devcontainer"
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"remoteUser": "vscode",
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"overrideCommand": true
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}
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version: '3'
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services:
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langchain:
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build:
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dockerfile: .devcontainer/Dockerfile
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context: ../
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volumes:
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- ../:/workspaces/langchain
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networks:
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- langchain-network
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# environment:
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# MONGO_ROOT_USERNAME: root
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# MONGO_ROOT_PASSWORD: example123
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# depends_on:
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# - mongo
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# mongo:
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# image: mongo
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# restart: unless-stopped
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# environment:
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# MONGO_INITDB_ROOT_USERNAME: root
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# MONGO_INITDB_ROOT_PASSWORD: example123
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# ports:
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# - "27017:27017"
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# networks:
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# - langchain-network
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networks:
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langchain-network:
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driver: bridge
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