# syntax=docker/dockerfile:1.4 FROM python:3.11-slim-trixie WORKDIR /app ARG TARGETARCH ARG CHROMIUM_VERSION=149.0.7827.196-1~deb13u1 ARG CHROMIUM_SNAPSHOT=20260625T180000Z # LiteParse (Node + @llamaindex/liteparse) for document extraction; OCR via Tesseract. ENV APP_DATA_DIRECTORY=/app_data \ TEMP_DIRECTORY=/tmp/presenton \ UV_SYSTEM_PYTHON=1 \ UV_COMPILE_BYTECODE=1 \ UV_LINK_MODE=copy \ PATH="/root/.local/bin:${PATH}" \ EXPORT_PACKAGE_ROOT=/app/presentation-export \ EXPORT_RUNTIME_DIR=/app/presentation-export \ BUILT_PYTHON_MODULE_PATH=/app/presentation-export/py/convert-linux-current \ PRESENTON_APP_ROOT=/app \ HF_HOME=/root/.cache/huggingface \ PRESENTON_FASTEMBED_ICON_CACHE_DIR=/root/.cache/presenton/fastembed-icons \ PUPPETEER_EXECUTABLE_PATH=/usr/bin/chromium RUN printf 'Acquire::Check-Valid-Until "false";\n' > /etc/apt/apt.conf.d/99snapshot \ && printf 'deb [check-valid-until=no] http://snapshot.debian.org/archive/debian-security/%s trixie-security main\n' "$CHROMIUM_SNAPSHOT" > /etc/apt/sources.list.d/chromium-snapshot.list \ && apt-get update && apt-get install -y --no-install-recommends --allow-downgrades \ ca-certificates curl unzip \ nginx fontconfig imagemagick zstd \ fonts-liberation fonts-noto-core xdg-utils \ libasound2t64 libatk-bridge2.0-0t64 libatk1.0-0t64 libatspi2.0-0t64 \ libcairo2 libcups2t64 libdbus-1-3 libdrm2 libexpat1 libgbm1 \ libglib2.0-0t64 libgtk-3-0t64 libnspr4 libnss3 libpango-1.0-0 \ libx11-6 libxcb1 libxcomposite1 libxdamage1 libxext6 libxfixes3 \ libxkbcommon0 libxrandr2 libxshmfence1 libxss1 libxtst6 \ tesseract-ocr tesseract-ocr-eng \ chromium="${CHROMIUM_VERSION}" \ chromium-common="${CHROMIUM_VERSION}" \ chromium-driver="${CHROMIUM_VERSION}" \ && apt-mark hold chromium chromium-common chromium-driver \ && curl -LsSf https://astral.sh/uv/install.sh | sh \ && rm -rf /var/lib/apt/lists/* # Remove any non-Noto fonts that may have been installed as dependencies. RUN find /usr/share/fonts -type f ! -iname 'Noto*' -delete \ && find /usr/share/fonts -type d -empty -delete \ && fc-cache -fsv RUN curl -fsSL https://deb.nodesource.com/setup_20.x | bash - \ && apt-get install -y nodejs \ && rm -rf /var/lib/apt/lists/* COPY package.json package-lock.json /app/ RUN npm --prefix /app install --omit=dev RUN mkdir -p /app/document-extraction-liteparse \ && npm --prefix /app/document-extraction-liteparse init -y \ && npm --prefix /app/document-extraction-liteparse install @llamaindex/liteparse@1.4.0 --omit=dev COPY electron/resources/document-extraction/liteparse_runner.mjs /app/document-extraction-liteparse/liteparse_runner.mjs COPY scripts/sync-presentation-export.cjs /app/scripts/sync-presentation-export.cjs COPY scripts/presenton-terminal-banner.mjs /app/scripts/presenton-terminal-banner.mjs COPY scripts/user-config-env.mjs /app/scripts/user-config-env.mjs RUN rm -rf /app/presentation-export \ && EXPORT_RUNTIME_ARCH="${TARGETARCH}" node /app/scripts/sync-presentation-export.cjs --force \ && find /app/presentation-export/py -maxdepth 1 -type f -name "convert-linux-*" -exec chmod +x {} \; \ && set -eux; \ if [ -z "${TARGETARCH:-}" ]; then TARGETARCH="$(dpkg --print-architecture)"; fi; \ case "$TARGETARCH" in \ amd64) export_arch="x64" ;; \ arm64) export_arch="arm64" ;; \ *) echo "Unsupported TARGETARCH: $TARGETARCH" && exit 1 ;; \ esac; \ test -f "/app/presentation-export/py/convert-linux-${export_arch}"; \ ln -sf "/app/presentation-export/py/convert-linux-${export_arch}" /app/presentation-export/py/convert-linux-current; \ chmod +x "/app/presentation-export/py/convert-linux-${export_arch}"; \ ls -lah /app/presentation-export/py # Bind mount `.:/app` hides any .venv under servers/fastapi at runtime — install deps into # system site-packages (same interpreter `start.js` uses as `python`). COPY servers/fastapi /app/servers/fastapi COPY templates /app/templates WORKDIR /app/servers/fastapi RUN --mount=type=cache,target=/root/.cache/uv \ uv export --frozen --no-dev --no-emit-project -o /tmp/requirements.txt \ && uv pip install --system -r /tmp/requirements.txt \ && uv pip install --system --no-deps . # Mem0 BM25 lemmatization requires a spaCy language model at runtime. # Installing it in the image avoids per-run downloads and startup self-disable. RUN --mount=type=cache,target=/root/.cache/uv \ uv pip install --system \ "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl" # FastEmbed + Hugging Face Hub weights for icon search and Mem0 (no cache-only mount here: # those files must remain in the image layer). WORKDIR /app/servers/fastapi RUN python scripts/warm_fastembed_cache.py WORKDIR /app COPY nginx.conf /etc/nginx/nginx.conf EXPOSE 80 CMD ["node", "/app/start.js", "--dev"]