mirror of
https://github.com/khoj-ai/khoj.git
synced 2024-12-18 18:47:11 +00:00
63 lines
2.1 KiB
Docker
63 lines
2.1 KiB
Docker
# syntax=docker/dockerfile:1
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FROM ubuntu:jammy AS base
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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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LABEL org.opencontainers.image.description="Your second brain, containerized for multi-user, cloud deployment"
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# Install System Dependencies
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RUN apt update -y && apt -y install \
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python3-pip \
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libsqlite3-0 \
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ffmpeg \
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libsm6 \
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libxext6 \
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swig \
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curl \
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# Required by llama-cpp-python pre-built wheels. See #1628
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musl-dev && \
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ln -s /usr/lib/x86_64-linux-musl/libc.so /lib/libc.musl-x86_64.so.1 && \
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# Clean up
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apt clean && rm -rf /var/lib/apt/lists/*
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# Build Server
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FROM base AS server-deps
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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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# use the pre-built llama-cpp-python, torch cpu wheel
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ENV PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu https://abetlen.github.io/llama-cpp-python/whl/cpu"
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# avoid downloading unused cuda specific python packages
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ENV CUDA_VISIBLE_DEVICES=""
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RUN sed -i "s/dynamic = \\[\"version\"\\]/version = \"$VERSION\"/" pyproject.toml && \
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pip install --no-cache-dir .[prod]
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# Build Web App
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FROM node:20-alpine AS web-app
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# Set build optimization env vars
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ENV NODE_ENV=production
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ENV NEXT_TELEMETRY_DISABLED=1
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WORKDIR /app/src/interface/web
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# Install dependencies first (cache layer)
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COPY src/interface/web/package.json src/interface/web/yarn.lock ./
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RUN yarn install --frozen-lockfile
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# Copy source and build
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COPY src/interface/web/. ./
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RUN yarn build
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# Merge the Server and Web App into a Single Image
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FROM base
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ENV PYTHONPATH=/app/src
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WORKDIR /app
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COPY --from=server-deps /usr/local/lib/python3.10/dist-packages /usr/local/lib/python3.10/dist-packages
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COPY --from=web-app /app/src/interface/web/out ./src/khoj/interface/built
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COPY . .
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RUN cd src && python3 khoj/manage.py collectstatic --noinput
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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 those 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 ["gunicorn", "-c", "gunicorn-config.py", "src.khoj.main:app"]
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