mirror of
https://github.com/iio612/immich-native.git
synced 2026-04-14 19:01:07 +00:00
148 lines
3.0 KiB
Bash
Executable File
148 lines
3.0 KiB
Bash
Executable File
#!/bin/bash
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set -xeuo pipefail
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#TAG=v1.97.0
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TAG=3b772a772
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IMMICH_PATH=/var/lib/immich
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APP=$IMMICH_PATH/app
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if [[ "$USER" != "immich" ]]; then
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# Disable systemd services, if installed
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(
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for i in immich*.service; do
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systemctl stop $i && \
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systemctl disable $i && \
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rm /etc/systemd/system/$i &&
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systemctl daemon-reload
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done
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) || true
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mkdir -p $IMMICH_PATH
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chown immich:immich $IMMICH_PATH
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mkdir -p /var/log/immich
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chown immich:immich /var/log/immich
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echo "Restarting the script as user immich"
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exec sudo -u immich $0 $*
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fi
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BASEDIR=$(dirname "$0")
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rm -rf $APP
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mkdir -p $APP
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# Wipe npm, pypoetry, etc
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# This expects immich user's home directory to be on $IMMICH_PATH/home
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rm -rf $IMMICH_PATH/home
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mkdir -p $IMMICH_PATH/home
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TMP=/tmp/immich-$(uuidgen)
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git clone https://github.com/immich-app/immich $TMP
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cd $TMP
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git reset --hard $TAG
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# immich-server
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cd server
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npm ci
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npm run build
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npm prune --omit=dev --omit=optional
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cd -
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cd open-api/typescript-sdk
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npm ci
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npm run build
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cd -
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cd web
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npm ci
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npm run build
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cd -
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cp -a server/node_modules server/dist server/bin $APP/
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cp -a web/build $APP/www
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cp -a server/resources server/package.json server/package-lock.json $APP/
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cp -a server/start*.sh $APP/
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cp -a LICENSE $APP/
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cd $APP
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npm cache clean --force
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cd -
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# immich-machine-learning
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mkdir -p $APP/machine-learning
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python3 -m venv $APP/machine-learning/venv
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(
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# Initiate subshell to setup venv
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. $APP/machine-learning/venv/bin/activate
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pip3 install poetry
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cd machine-learning
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# pip install poetry
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poetry install --no-root --with dev --with cpu
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cd ..
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)
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cp -a machine-learning/ann machine-learning/start.sh machine-learning/app $APP/machine-learning/
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# Replace /usr/src
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cd $APP
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grep -Rl /usr/src | xargs -n1 sed -i -e "s@/usr/src@$IMMICH_PATH@g"
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ln -sf $IMMICH_PATH/app/resources $IMMICH_PATH/
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mkdir -p $IMMICH_PATH/cache
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sed -i -e "s@\"/cache\"@\"$IMMICH_PATH/cache\"@g" $APP/machine-learning/app/config.py
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# Install sharp
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cd $APP
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npm install sharp
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# Setup upload directory
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mkdir -p $IMMICH_PATH/upload
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ln -s $IMMICH_PATH/upload $APP/
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ln -s $IMMICH_PATH/upload $APP/machine-learning/
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# Use 127.0.0.1 for microservices
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sed -i -e "s@app.listen(port)@app.listen(port, '127.0.0.1')@g" $APP/dist/microservices/main.js
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# Custom start.sh script
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cat <<EOF > $APP/start.sh
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#!/bin/bash
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set -a
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. $IMMICH_PATH/env
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set +a
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cd $APP
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exec node $APP/dist/main "\$@"
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EOF
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cat <<EOF > $APP/machine-learning/start.sh
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#!/bin/bash
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set -a
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. $IMMICH_PATH/env
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set +a
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cd $APP/machine-learning
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. venv/bin/activate
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: "\${MACHINE_LEARNING_HOST:=127.0.0.1}"
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: "\${MACHINE_LEARNING_PORT:=3003}"
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: "\${MACHINE_LEARNING_WORKERS:=1}"
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: "\${MACHINE_LEARNING_WORKER_TIMEOUT:=120}"
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exec gunicorn app.main:app \
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-k app.config.CustomUvicornWorker \
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-w "\$MACHINE_LEARNING_WORKERS" \
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-b "\$MACHINE_LEARNING_HOST":"\$MACHINE_LEARNING_PORT" \
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-t "\$MACHINE_LEARNING_WORKER_TIMEOUT" \
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--log-config-json log_conf.json \
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--graceful-timeout 0
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EOF
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# Cleanup
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rm -rf $TMP
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echo
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echo "Done"
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echo
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