File size: 8,870 Bytes
d326f12 945877a 570845e 02d330e ebae3e7 7080d8f 2dfa32a 945877a d326f12 570845e d326f12 250c563 d326f12 66ef4af d326f12 250c563 d326f12 66ef4af d326f12 66ef4af d326f12 66ef4af d326f12 66ef4af d326f12 250c563 d326f12 250c563 d326f12 268865d 3035898 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 |
# Include global ARGs at the dockerfile top
ARG ARCH="x86_64"
ARG LAMBDA_TASK_ROOT="/var/task"
ARG FASTAPI_STATIC="${LAMBDA_TASK_ROOT}/static"
ARG PYTHONPATH="${LAMBDA_TASK_ROOT}:${PYTHONPATH}:/usr/local/lib/python3/dist-packages"
ARG POETRY_NO_INTERACTION=1
ARG POETRY_VIRTUALENVS_IN_PROJECT=1
ARG POETRY_VIRTUALENVS_CREATE=1
ARG POETRY_CACHE_DIR=/tmp/poetry_cache
FROM pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime as builder_global
LABEL authors="[email protected]"
ARG ARCH
ARG LAMBDA_TASK_ROOT
ARG PYTHONPATH
ARG POETRY_NO_INTERACTION
ARG POETRY_VIRTUALENVS_IN_PROJECT
ARG POETRY_VIRTUALENVS_CREATE
ARG POETRY_CACHE_DIR
RUN echo "ARCH: $ARCH ..."
RUN echo "ARG POETRY_CACHE_DIR: ${POETRY_CACHE_DIR} ..."
RUN echo "ARG PYTHONPATH: $PYTHONPATH ..."
# Set working directory to function root directory
WORKDIR ${LAMBDA_TASK_ROOT}
RUN apt update && apt install git git-lfs software-properties-common -y
RUN git lfs install
RUN git clone https://huggingface.co/spaces/aletrn/samgis-lisa-on-cuda ${LAMBDA_TASK_ROOT}/samgis-lisa-on-cuda && \
ls -l ${LAMBDA_TASK_ROOT}/samgis-lisa-on-cuda/dockerfiles/apt_preferences_ubuntu && \
cp ${LAMBDA_TASK_ROOT}/samgis-lisa-on-cuda/dockerfiles/apt_preferences_ubuntu /etc/apt/preferences && \
ls -l ${LAMBDA_TASK_ROOT}/samgis-lisa-on-cuda/pyproject.toml && \
cp ${LAMBDA_TASK_ROOT}/samgis-lisa-on-cuda/pyproject.toml ${LAMBDA_TASK_ROOT}/pyproject.toml && \
ls -l ${LAMBDA_TASK_ROOT}/samgis-lisa-on-cuda/poetry.lock && \
cp ${LAMBDA_TASK_ROOT}/samgis-lisa-on-cuda/poetry.lock ${LAMBDA_TASK_ROOT}/poetry.lock
RUN ls -l /etc/apt/preferences ${LAMBDA_TASK_ROOT}/pyproject.toml
RUN add-apt-repository "deb http://archive.ubuntu.com/ubuntu jammy main universe restricted multiverse" && \
add-apt-repository "deb http://archive.ubuntu.com/ubuntu jammy-security main universe restricted multiverse" && \
add-apt-repository "deb http://archive.ubuntu.com/ubuntu jammy-updates main universe restricted multiverse" && \
add-apt-repository "deb http://archive.ubuntu.com/ubuntu noble main universe restricted multiverse" && \
add-apt-repository "deb http://archive.ubuntu.com/ubuntu noble-security main universe restricted multiverse" && \
add-apt-repository "deb http://archive.ubuntu.com/ubuntu noble-updates main universe restricted multiverse"
RUN cat /etc/lsb-release
# avoid segment-geospatial exception caused by missing libGL.so.1 library
RUN echo "BUILDER: check libz.s* before start" && ls -l /usr/lib/${ARCH}-linux-gnu/libz.so*
RUN apt update && apt upgrade -y && apt install -y libgl1 curl python3-pip && apt clean
#RUN echo "run update noble..."
#RUN apt update
#RUN apt update && apt install -t noble zlib1g -y
RUN echo "BUILDER: check libz.s* after install from trixie" && ls -l /usr/lib/${ARCH}-linux-gnu/libz.so*
RUN ls -l /etc/apt/sources* /etc/apt/preferences*
# poetry installation path is NOT within ${LAMBDA_TASK_ROOT}: not needed for runtime docker image
RUN python -m pip install -r ${LAMBDA_TASK_ROOT}/samgis-lisa-on-cuda/requirements_poetry.txt
RUN which poetry && poetry --version && poetry config --list
RUN poetry config virtualenvs.path ${LAMBDA_TASK_ROOT}
RUN poetry config installer.max-workers 7
RUN echo "# poetry config --list #" && poetry config --list
RUN ls -ld ${LAMBDA_TASK_ROOT}/
#RUN . ${LAMBDA_TASK_ROOT}/.venv/bin/activate && ${LAMBDA_TASK_ROOT}/.venv/bin/python --version && ${LAMBDA_TASK_ROOT}/.venv/bin/python -m pip install pip wheel setuptools --upgrade
RUN poetry run python -m pip install pip wheel setuptools --upgrade
RUN poetry install --no-root --no-cache
RUN git clone https://huggingface.co/aletrn/sam-quantized/ ${LAMBDA_TASK_ROOT}/sam-quantized
RUN git clone -n --depth=1 --filter=tree:0 https://huggingface.co/spaces/aletrn/lisa-on-cuda ${LAMBDA_TASK_ROOT}/lisa-on-cuda && \
cd ${LAMBDA_TASK_ROOT}/lisa-on-cuda && \
git sparse-checkout set --no-cone resources && \
git checkout
WORKDIR ${LAMBDA_TASK_ROOT}
RUN ls -l ${LAMBDA_TASK_ROOT}/*
FROM pytorch/pytorch:2.4.1-cuda12.4-cudnn9-runtime as runtime
ARG ARCH
ARG LAMBDA_TASK_ROOT
ENV VIRTUAL_ENV=${LAMBDA_TASK_ROOT}/.venv \
PATH="${LAMBDA_TASK_ROOT}/.venv/bin:$PATH"
RUN echo "COPY --from=builder_global /usr/lib/${ARCH}-linux-gnu/libGL.so* /usr/lib/${ARCH}-linux-gnu/"
COPY --from=builder_global /usr/lib/${ARCH}-linux-gnu/libGL.so* /usr/lib/${ARCH}-linux-gnu/
RUN echo "RUNTIME: check libz.s* before upgrade" && ls -l /usr/lib/${ARCH}-linux-gnu/libz.so*
RUN echo "RUNTIME: remove libz.s* to force upgrade" && rm /usr/lib/${ARCH}-linux-gnu/libz.so*
COPY --from=builder_global /usr/lib/${ARCH}-linux-gnu/libz.so* /usr/lib/${ARCH}-linux-gnu/
RUN echo "RUNTIME: check libz.s* after copy" && ls -l /usr/lib/${ARCH}-linux-gnu/libz.so*
COPY --from=builder_global ${LAMBDA_TASK_ROOT}/.venv ${LAMBDA_TASK_ROOT}/.venv
RUN echo "new LAMBDA_TASK_ROOT after hidden venv copy => ${LAMBDA_TASK_ROOT}"
RUN ls -ld ${LAMBDA_TASK_ROOT}/
RUN ls -lA ${LAMBDA_TASK_ROOT}/
RUN echo "content of LAMBDA_TASK_ROOT/.venv => ${LAMBDA_TASK_ROOT}/.venv"
RUN ls -ld ${LAMBDA_TASK_ROOT}/.venv
RUN ls -lA ${LAMBDA_TASK_ROOT}/.venv
### conditional section
FROM node:20-slim AS node_fastapi
ENV PNPM_HOME="/pnpm"
ENV PATH="$PNPM_HOME:$PATH"
RUN corepack enable
COPY --from=builder_global ${LAMBDA_TASK_ROOT}/samgis-lisa-on-cuda/static /appnode
WORKDIR /appnode
# RUN echo "pnpm store path:" && pnpm store path
RUN ls -l /appnode
RUN ls -l /appnode/list_files.html
FROM node_fastapi AS node_prod_deps
RUN --mount=type=cache,id=pnpm,target=/pnpm/store pnpm install --prod --frozen-lockfile
# here multiple conditions concatenated to avoid failing on check
RUN if [ ! -d /appnode/node_modules ]; then echo "no node_modules folder" && exit 1; fi
FROM node_fastapi AS node_build
ARG VITE__MAP_DESCRIPTION
ARG VITE__SAMGIS_SPACE
RUN echo "VITE__MAP_DESCRIPTION:" ${VITE__MAP_DESCRIPTION}
RUN echo "VITE__SAMGIS_SPACE:" ${VITE__SAMGIS_SPACE}
RUN --mount=type=cache,id=pnpm,target=/pnpm/store pnpm install --frozen-lockfile
RUN --mount=type=cache,id=pnpm,target=/pnpm/store pnpm build
RUN --mount=type=cache,id=pnpm,target=/pnpm/store pnpm tailwindcss -i /appnode/src/input.css -o /appnode/dist/output.css
RUN if [ ! -d /appnode/dist ]; then echo "no dist folder" && exit 1; fi
FROM runtime
ARG FASTAPI_STATIC
RUN echo "show disk space, df -h ..."
RUN df -h
RUN echo "creating FASTAPI_STATIC folder: ${FASTAPI_STATIC}, use `mkdir -p` to avoid failure if missing parent folder ..."
RUN mkdir -p ${FASTAPI_STATIC}
COPY --from=builder_global ${LAMBDA_TASK_ROOT}/sam-quantized/machine_learning_models \
${LAMBDA_TASK_ROOT}/machine_learning_models
RUN ls -ld ${LAMBDA_TASK_ROOT}/machine_learning_models
RUN ls -lh ${LAMBDA_TASK_ROOT}/machine_learning_models
COPY --from=builder_global ${LAMBDA_TASK_ROOT}/lisa-on-cuda/resources ${LAMBDA_TASK_ROOT}/resources
COPY --from=node_prod_deps /appnode/node_modules* ${FASTAPI_STATIC}/node_modules
COPY --from=node_build /appnode/dist* ${FASTAPI_STATIC}/dist
COPY --from=node_build /appnode/list_files.html ${FASTAPI_STATIC}/list_files.html
RUN ls -l ${FASTAPI_STATIC}/
RUN ls -l ${FASTAPI_STATIC}/list_files.html
# Include global arg in this stage of the build
ARG LAMBDA_TASK_ROOT="/var/task"
ARG PYTHONPATH="${LAMBDA_TASK_ROOT}:${PYTHONPATH}:/usr/local/lib/python3/dist-packages"
ENV VIRTUAL_ENV=${LAMBDA_TASK_ROOT}/.venv \
PATH="${LAMBDA_TASK_ROOT}/.venv/bin:$PATH"
ENV IS_AWS_LAMBDA=""
# Set working directory to function root directory
WORKDIR ${LAMBDA_TASK_ROOT}
RUN ls -l /usr/bin/which
RUN /usr/bin/which python
RUN python --version
RUN node --version
RUN npm --version
RUN echo "PYTHONPATH: ${PYTHONPATH}."
RUN echo "PATH: ${PATH}."
RUN echo "LAMBDA_TASK_ROOT: ${LAMBDA_TASK_ROOT}."
RUN ls -l ${LAMBDA_TASK_ROOT}
RUN ls -ld ${LAMBDA_TASK_ROOT}
RUN ls -l ${LAMBDA_TASK_ROOT}/machine_learning_models
RUN python -c "import sys; print(sys.path)"
RUN python -c "import cv2"
RUN python -c "import fastapi"
RUN python -c "import geopandas"
RUN python -c "import loguru"
RUN python -c "import rasterio"
RUN python -c "import uvicorn"
RUN df -h
RUN echo "LAMBDA_TASK_ROOT /static/:"
RUN ls -l ${LAMBDA_TASK_ROOT}/static/ || true
RUN ls -l ${LAMBDA_TASK_ROOT}/static/dist || true
RUN ls -l ${LAMBDA_TASK_ROOT}/static/node_modules || true
RUN echo "FASTAPI_STATIC:"
RUN ls -l ${FASTAPI_STATIC}/ || true
RUN ls -l ${FASTAPI_STATIC}/dist || true
RUN ls -l ${FASTAPI_STATIC}/node_modules || true
RUN ls -ld ${LAMBDA_TASK_ROOT}/
RUN ls -lA ${LAMBDA_TASK_ROOT}/
RUN ls -l ${LAMBDA_TASK_ROOT}/.venv
RUN ls -l ${LAMBDA_TASK_ROOT}/.venv/bin/activate
# CMD ["/var/task/docker_entrypoint.sh"]
#CMD [
# "source", "/var/task/.venv/bin/activate", "&&",
# "uvicorn", "app:app", "--host","0.0.0.0", "--port", "7860"
#]
CMD ["/usr/bin/bash", "-c", "source /var/task/.venv/bin/activate && uvicorn app:app --host 0.0.0.0 --port 7860"] |