mirror of
https://github.com/khoj-ai/khoj.git
synced 2024-11-23 15:38:55 +01:00
44 lines
1.4 KiB
Docker
44 lines
1.4 KiB
Docker
# syntax=docker/dockerfile:1
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FROM ubuntu:jammy
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LABEL homepage="https://khoj.dev"
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LABEL repository="https://github.com/khoj-ai/khoj"
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LABEL org.opencontainers.image.source="https://github.com/khoj-ai/khoj"
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# Install System Dependencies
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RUN apt update -y && apt -y install python3-pip swig curl
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# Install Node.js and Yarn using nvm in a single RUN instruction
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RUN curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash - && \
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export NVM_DIR="$HOME/.nvm" && \
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[ -s "$NVM_DIR/nvm.sh" ] && \. "$NVM_DIR/nvm.sh" && \
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nvm install 20 && \
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npm install --global yarn
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# Install RapidOCR dependencies
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RUN apt -y install libgl1 libgl1-mesa-glx libglib2.0-0
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# Install Application
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WORKDIR /app
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COPY pyproject.toml .
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COPY README.md .
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ARG VERSION=0.0.0
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RUN sed -i "s/dynamic = \\[\"version\"\\]/version = \"$VERSION\"/" pyproject.toml && \
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pip install --no-cache-dir .
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# Copy Source Code
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COPY . .
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# Set the PYTHONPATH environment variable in order for it to find the Django app.
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ENV PYTHONPATH=/app/src:$PYTHONPATH
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# Go to the directory src/interface/web and export the built Next.js assets
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WORKDIR /app/src/interface/web
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RUN bash -c "yarn cache clean && yarn install --verbose && yarn ciexport"
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WORKDIR /app
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# Run the Application
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# There are more arguments required for the application to run,
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# but these should be passed in through the docker-compose.yml file.
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ARG PORT
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EXPOSE ${PORT}
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ENTRYPOINT ["python3", "src/khoj/main.py"]
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