# Dockerfile

# Use a base image with Python installed. Python 3.10 is fine.
FROM python:3.10-slim-buster

# Set the working directory inside the container (created as root)
WORKDIR /app

# Install system dependencies needed for pdf2image (Poppler) and pytesseract (Tesseract)
# These RUN commands need to be executed as root.
RUN apt-get update && apt-get install -y \
    libpoppler-dev \
    tesseract-ocr \
    tesseract-ocr-eng \
    tesseract-ocr-tur \
    tesseract-ocr-ara \
    tesseract-ocr-fra \
    # Add other languages if needed
    && rm -rf /var/lib/apt/lists/*

# Create the user
RUN useradd -m -u 1000 user

# IMPORTANT: Change ownership of the /app directory to the new 'user'
RUN chown -R user:user /app

# Switch to the non-root user. All subsequent commands (COPY, RUN for pip, CMD) will be executed as 'user'.
USER user

# IMPORTANT: Add /home/user/.local/bin to the PATH for the 'user'
ENV PATH="/home/user/.local/bin:$PATH"

# Set the Hugging Face cache directory to a path where the 'user' has write permissions.
ENV HF_HOME=/app/huggingface_cache

# Create the cache directory
RUN mkdir -p $HF_HOME

# Copy requirements.txt and install Python dependencies
COPY --chown=user:user requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Clean up any old Hugging Face Hub lock files before copying the application code.
RUN rm -rf "${HF_HOME}/hub/tmp"
RUN find "${HF_HOME}/hub/models--" -name "*.lock" -type f -delete || true

# Copy the rest of your application code
COPY --chown=user:user . /app

# Set environment variables for Tesseract and potentially for Python's sqlite3 module
ENV TESSDATA_PREFIX=/usr/share/tesseract-ocr/4.00/tessdata
ENV TESSERACT_CMD=/usr/bin/tesseract
ENV PYTHON_IS_PYTESSERACT_ONLY=true

# Command to run your FastAPI application using Uvicorn
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]