mirror of
https://github.com/community-scripts/ProxmoxVE.git
synced 2025-06-30 02:57:38 +00:00
Immich UV test (#5032)
- Simplifies UV use in Immich install & update - Uses Python 3.11 (No official support for 3.12 yet) - Restores python3-dev package
This commit is contained in:
20
ct/immich.sh
20
ct/immich.sh
@ -27,6 +27,9 @@ function update_script() {
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msg_error "No ${APP} Installation Found!"
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exit
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fi
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setup_uv
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STAGING_DIR=/opt/staging
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BASE_DIR=${STAGING_DIR}/base-images
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SOURCE_DIR=${STAGING_DIR}/image-source
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@ -251,23 +254,16 @@ EOF
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msg_ok "Updated ${APP} web and microservices"
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cd "$SRC_DIR"/machine-learning
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$STD python3 -m venv "$ML_DIR"/ml-venv
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export VIRTUAL_ENV="${ML_DIR}/ml-venv"
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$STD uv venv "$VIRTUAL_ENV"
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if [[ -f ~/.openvino ]]; then
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msg_info "Updating HW-accelerated machine-learning"
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(
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source "$ML_DIR"/ml-venv/bin/activate
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$STD pip3 install -U uv
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uv -q sync --extra openvino --no-cache --active
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)
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patchelf --clear-execstack "$ML_DIR"/ml-venv/lib/python3.11/site-packages/onnxruntime/capi/onnxruntime_pybind11_state.cpython-311-x86_64-linux-gnu.so
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uv -q sync --extra openvino --no-cache --active
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patchelf --clear-execstack "${VIRTUAL_ENV}/lib/python3.11/site-packages/onnxruntime/capi/onnxruntime_pybind11_state.cpython-311-x86_64-linux-gnu.so"
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msg_ok "Updated HW-accelerated machine-learning"
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else
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msg_info "Updating machine-learning"
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(
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source "$ML_DIR"/ml-venv/bin/activate
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$STD pip3 install -U uv
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uv -q sync --extra cpu --no-cache --active
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)
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uv -q sync --extra cpu --no-cache --active
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msg_ok "Updated machine-learning"
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fi
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cd "$SRC_DIR"
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@ -13,7 +13,7 @@ setting_up_container
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network_check
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update_os
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PYTHON_VERSION="3.12" setup_uv
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setup_uv
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msg_info "Configuring apt and installing dependencies"
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echo "deb http://deb.debian.org/debian testing main contrib" >/etc/apt/sources.list.d/immich.list
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@ -29,6 +29,7 @@ $STD apt-get install --no-install-recommends -y \
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redis \
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autoconf \
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build-essential \
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python3-dev \
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cmake \
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jq \
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libbrotli-dev \
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@ -304,22 +305,16 @@ cp LICENSE "$APP_DIR"
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msg_ok "Installed Immich Web Components"
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cd "$SRC_DIR"/machine-learning
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$STD uv venv "$ML_DIR/.venv"
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$ML_DIR/.venv/bin/uv pip install --upgrade uv
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$ML_DIR/.venv/bin/uv sync --no-cache
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cd "$SRC_DIR"/machine-learning
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$STD uv venv "$ML_DIR/.venv"
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$ML_DIR/.venv/bin/uv pip install --upgrade uv
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export VIRTUAL_ENV="${ML_DIR}/ml-venv"
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$STD uv venv "$VIRTUAL_ENV"
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if [[ -f ~/.openvino ]]; then
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msg_info "Installing HW-accelerated machine-learning"
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$STD "$ML_DIR/.venv/bin/uv" sync --no-cache --extra openvino
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patchelf --clear-execstack "$ML_DIR/.venv/lib/python3.12/site-packages/onnxruntime/capi/onnxruntime_pybind11_state.cpython-312-x86_64-linux-gnu.so"
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uv -q sync --no-cache --extra openvino --active
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patchelf --clear-execstack "${VIRTUAL_ENV}/lib/python3.11/site-packages/onnxruntime/capi/onnxruntime_pybind11_state.cpython-311-x86_64-linux-gnu.so"
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msg_ok "Installed HW-accelerated machine-learning"
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else
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msg_info "Installing machine-learning"
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$STD "$ML_DIR/.venv/bin/uv" sync --no-cache --extra cpu
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uv -q sync --no-cache --extra cpu --active
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msg_ok "Installed machine-learning"
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fi
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@ -396,7 +391,7 @@ set -a
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. ${INSTALL_DIR}/.env
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set +a
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python -m immich_ml
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python3 -m immich_ml
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EOF
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chmod +x "$ML_DIR"/ml_start.sh
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cat <<EOF >/etc/systemd/system/"${APPLICATION}"-web.service
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