SurfSense/surfsense_backend/Dockerfile
2025-08-24 22:53:35 +02:00

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Docker

FROM python:3.12-slim
WORKDIR /app
# Install system dependencies including SSL tools, CUDA dependencies, and Tesseract OCR
RUN apt-get update && apt-get install -y --no-install-recommends \
gcc \
python3-dev \
ca-certificates \
curl \
wget \
unzip \
gnupg2 \
espeak-ng \
libsndfile1 \
libgl1 \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender1 \
&& rm -rf /var/lib/apt/lists/*
# Update certificates and install SSL tools
RUN update-ca-certificates
RUN pip install --upgrade certifi pip-system-certs
# Copy requirements
COPY pyproject.toml .
COPY uv.lock .
# Install PyTorch based on architecture
RUN if [ "$(uname -m)" = "x86_64" ]; then \
pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121; \
else \
pip install --no-cache-dir torch torchvision torchaudio; \
fi
# Install python dependencies
RUN pip install --no-cache-dir uv && \
uv pip install --system --no-cache-dir -e .
# Set SSL environment variables dynamically
RUN CERTIFI_PATH=$(python -c "import certifi; print(certifi.where())") && \
echo "Setting SSL_CERT_FILE to $CERTIFI_PATH" && \
echo "export SSL_CERT_FILE=$CERTIFI_PATH" >> /root/.bashrc && \
echo "export REQUESTS_CA_BUNDLE=$CERTIFI_PATH" >> /root/.bashrc
ENV SSL_CERT_FILE=/usr/local/lib/python3.12/site-packages/certifi/cacert.pem
ENV REQUESTS_CA_BUNDLE=/usr/local/lib/python3.12/site-packages/certifi/cacert.pem
# Pre-download EasyOCR models to avoid runtime SSL issues
RUN mkdir -p /root/.EasyOCR/model
RUN wget --no-check-certificate https://github.com/JaidedAI/EasyOCR/releases/download/v1.3/english_g2.zip -O /root/.EasyOCR/model/english_g2.zip || true
RUN wget --no-check-certificate https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/craft_mlt_25k.zip -O /root/.EasyOCR/model/craft_mlt_25k.zip || true
RUN cd /root/.EasyOCR/model && (unzip -o english_g2.zip || true) && (unzip -o craft_mlt_25k.zip || true)
# Pre-download Docling models
RUN python -c "try:\n from docling.document_converter import DocumentConverter\n conv = DocumentConverter()\nexcept:\n pass" || true
# Install Playwright browsers for web scraping if needed
RUN pip install playwright && \
playwright install chromium
# Copy source code
COPY . .
# Prevent uvloop compatibility issues
ENV PYTHONPATH=/app
ENV UVICORN_LOOP=asyncio
# Run
EXPOSE 8000
CMD ["python", "main.py", "--reload"]