Reduce size of Khoj Docker images by removing layers and caches

- Align Dockerfile and prod.Dockerfile code
- Reduce Docker image size by 25% by reducing Docker layers and
  removing package caches
This commit is contained in:
Debanjum Singh Solanky
2024-09-29 03:52:11 -07:00
parent 9b10b3e7a1
commit 1e8ce52d98
2 changed files with 38 additions and 26 deletions

View File

@@ -3,19 +3,23 @@ FROM ubuntu:jammy
LABEL homepage="https://khoj.dev"
LABEL repository="https://github.com/khoj-ai/khoj"
LABEL org.opencontainers.image.source="https://github.com/khoj-ai/khoj"
LABEL org.opencontainers.image.description="Your second brain, containerized for personal, local deployment."
# Install System Dependencies
RUN apt update -y && apt -y install python3-pip swig curl
# Install Node.js and Yarn
RUN curl -sL https://deb.nodesource.com/setup_20.x | bash -
RUN apt -y install nodejs
RUN curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | apt-key add -
RUN echo "deb https://dl.yarnpkg.com/debian/ stable main" | tee /etc/apt/sources.list.d/yarn.list
RUN apt update && apt -y install yarn
# Install RapidOCR dependencies
RUN apt -y install libgl1 libgl1-mesa-glx libglib2.0-0
RUN apt update -y && apt -y install \
python3-pip \
swig \
curl \
# Required by RapidOCR
libgl1 \
libglx-mesa0 \
libglib2.0-0 && \
# Required by Next.js Web app
curl -sL https://deb.nodesource.com/setup_20.x | bash - && \
curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | apt-key add - && \
echo "deb https://dl.yarnpkg.com/debian/ stable main" | tee /etc/apt/sources.list.d/yarn.list && \
apt update -y && apt -y --no-install-recommends install nodejs yarn && \
apt clean && rm -rf /var/lib/apt/lists/*
# Install Application
WORKDIR /app
@@ -33,7 +37,7 @@ ENV PYTHONPATH=/app/src:$PYTHONPATH
# Go to the directory src/interface/web and export the built Next.js assets
WORKDIR /app/src/interface/web
RUN bash -c "yarn cache clean && yarn install --verbose && yarn ciexport"
RUN bash -c "yarn install --frozen-lockfile --verbose && yarn ciexport && yarn cache clean"
WORKDIR /app
# Run the Application