document_redaction / Dockerfile
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Updated requirements
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# Stage 1: Build dependencies and download models
FROM public.ecr.aws/docker/library/python:3.12.11-slim-trixie AS builder
# Install system dependencies
RUN apt-get update \
&& apt-get upgrade -y \
&& apt-get install -y --no-install-recommends \
g++ \
make \
cmake \
unzip \
libcurl4-openssl-dev \
git \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
WORKDIR /src
COPY requirements_lightweight.txt .
RUN pip install --verbose --no-cache-dir --target=/install -r requirements_lightweight.txt && rm requirements_lightweight.txt
# Optionally install PaddleOCR if the INSTALL_PADDLEOCR environment variable is set to True. See requirements_lightweight.txt for more details, including installing the GPU version of PaddleOCR.
ARG INSTALL_PADDLEOCR=False
ENV INSTALL_PADDLEOCR=${INSTALL_PADDLEOCR}
RUN if [ "$INSTALL_PADDLEOCR" = "True" ]; then \
pip install --verbose --no-cache-dir --target=/install paddleocr==3.3.0 paddlepaddle==3.2.0; \
fi
RUN if [ "$INSTALL_VLM" = "True" ]; then \
pip install --verbose --no-cache-dir --target=/install torch==2.8.0 torchvision==0.24.0 --index-url https://download.pytorch.org/whl/cu126; \
pip install --verbose --no-cache-dir --target=/install transformers==4.57.1 accelerate==1.11.0 bitsandbytes==0.48.1; \
fi
# ===================================================================
# Stage 2: A common 'base' for both Lambda and Gradio
# ===================================================================
FROM public.ecr.aws/docker/library/python:3.12.11-slim-trixie AS base
# Set build-time and runtime environment variable for whether to run in Gradio mode or Lambda mode
ARG APP_MODE=gradio
ENV APP_MODE=${APP_MODE}
# Set build-time and runtime environment variable for whether to run in FastAPI mode
ARG RUN_FASTAPI=0
ENV RUN_FASTAPI=${RUN_FASTAPI}
# Install runtime system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
tesseract-ocr poppler-utils libgl1 libglib2.0-0 \
&& apt-get clean && rm -rf /var/lib/apt/lists/*
ENV APP_HOME=/home/user
# Set env variables for Gradio & other apps
ENV GRADIO_TEMP_DIR=/tmp/gradio_tmp/ \
TLDEXTRACT_CACHE=/tmp/tld/ \
MPLCONFIGDIR=/tmp/matplotlib_cache/ \
GRADIO_OUTPUT_FOLDER=$APP_HOME/app/output/ \
GRADIO_INPUT_FOLDER=$APP_HOME/app/input/ \
FEEDBACK_LOGS_FOLDER=$APP_HOME/app/feedback/ \
ACCESS_LOGS_FOLDER=$APP_HOME/app/logs/ \
USAGE_LOGS_FOLDER=$APP_HOME/app/usage/ \
CONFIG_FOLDER=$APP_HOME/app/config/ \
XDG_CACHE_HOME=/tmp/xdg_cache/user_1000 \
TESSERACT_DATA_FOLDER=/usr/share/tessdata \
GRADIO_SERVER_NAME=0.0.0.0 \
GRADIO_SERVER_PORT=7860 \
PATH=$APP_HOME/.local/bin:$PATH \
PYTHONPATH=$APP_HOME/app \
PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
GRADIO_ALLOW_FLAGGING=never \
GRADIO_NUM_PORTS=1 \
GRADIO_ANALYTICS_ENABLED=False \
DEFAULT_CONCURRENCY_LIMIT=3
# Copy Python packages from the builder stage
COPY --from=builder /install /usr/local/lib/python3.12/site-packages/
COPY --from=builder /install/bin /usr/local/bin/
# Copy your application code and entrypoint
COPY . ${APP_HOME}/app
COPY entrypoint.sh ${APP_HOME}/app/entrypoint.sh
# Fix line endings and set execute permissions
RUN sed -i 's/\r$//' ${APP_HOME}/app/entrypoint.sh \
&& chmod +x ${APP_HOME}/app/entrypoint.sh
WORKDIR ${APP_HOME}/app
# ===================================================================
# FINAL Stage 3: The Lambda Image (runs as root for simplicity)
# ===================================================================
FROM base AS lambda
# Set runtime ENV for Lambda mode
ENV APP_MODE=lambda
ENTRYPOINT ["/home/user/app/entrypoint.sh"]
CMD ["lambda_entrypoint.lambda_handler"]
# ===================================================================
# FINAL Stage 4: The Gradio Image (runs as a secure, non-root user)
# ===================================================================
FROM base AS gradio
# Set runtime ENV for Gradio mode
ENV APP_MODE=gradio
# Create non-root user
RUN useradd -m -u 1000 user
# Create the base application directory and set its ownership
RUN mkdir -p ${APP_HOME}/app && chown user:user ${APP_HOME}/app
# Create required sub-folders within the app directory and set their permissions
# This ensures these specific directories are owned by 'user'
RUN mkdir -p \
${APP_HOME}/app/output \
${APP_HOME}/app/input \
${APP_HOME}/app/logs \
${APP_HOME}/app/usage \
${APP_HOME}/app/feedback \
${APP_HOME}/app/config \
&& chown user:user \
${APP_HOME}/app/output \
${APP_HOME}/app/input \
${APP_HOME}/app/logs \
${APP_HOME}/app/usage \
${APP_HOME}/app/feedback \
${APP_HOME}/app/config \
&& chmod 755 \
${APP_HOME}/app/output \
${APP_HOME}/app/input \
${APP_HOME}/app/logs \
${APP_HOME}/app/usage \
${APP_HOME}/app/feedback \
${APP_HOME}/app/config
# Now handle the /tmp and /var/tmp directories and their subdirectories, paddle, spacy, tessdata
RUN mkdir -p /tmp/gradio_tmp /tmp/tld /tmp/matplotlib_cache /tmp /var/tmp ${XDG_CACHE_HOME} \
&& chown user:user /tmp /var/tmp /tmp/gradio_tmp /tmp/tld /tmp/matplotlib_cache ${XDG_CACHE_HOME} \
&& chmod 1777 /tmp /var/tmp /tmp/gradio_tmp /tmp/tld /tmp/matplotlib_cache \
&& chmod 700 ${XDG_CACHE_HOME} \
&& mkdir -p ${APP_HOME}/.paddlex \
&& chown user:user ${APP_HOME}/.paddlex \
&& chmod 755 ${APP_HOME}/.paddlex \
&& mkdir -p ${APP_HOME}/.local/share/spacy/data \
&& chown user:user ${APP_HOME}/.local/share/spacy/data \
&& chmod 755 ${APP_HOME}/.local/share/spacy/data \
&& mkdir -p /usr/share/tessdata \
&& chown user:user /usr/share/tessdata \
&& chmod 755 /usr/share/tessdata
# Fix apply user ownership to all files in the home directory
RUN chown -R user:user /home/user
# Set permissions for Python executable
RUN chmod 755 /usr/local/bin/python
# Declare volumes (NOTE: runtime mounts will override permissions — handle with care)
VOLUME ["/tmp/matplotlib_cache"]
VOLUME ["/tmp/gradio_tmp"]
VOLUME ["/tmp/tld"]
VOLUME ["/home/user/app/output"]
VOLUME ["/home/user/app/input"]
VOLUME ["/home/user/app/logs"]
VOLUME ["/home/user/app/usage"]
VOLUME ["/home/user/app/feedback"]
VOLUME ["/home/user/app/config"]
VOLUME ["/home/user/.paddlex"]
VOLUME ["/home/user/.local/share/spacy/data"]
VOLUME ["/usr/share/tessdata"]
VOLUME ["/tmp"]
VOLUME ["/var/tmp"]
USER user
EXPOSE $GRADIO_SERVER_PORT
ENTRYPOINT ["/home/user/app/entrypoint.sh"]
CMD ["python", "app.py"]