# FROM python:3.10-slim

# # Install system dependencies
# RUN apt-get update && apt-get install -y \
#     tesseract-ocr \
#     poppler-utils \
#     ffmpeg \
#     && rm -rf /var/lib/apt/lists/*

# # Set working directory
# WORKDIR /app

# # Copy requirements first to leverage Docker cache
# COPY requirements.txt .

# # Install Python dependencies
# RUN pip install --no-cache-dir -r requirements.txt

# # Copy application code
# COPY . .

# # Create necessary directories with proper permissions
# RUN mkdir -p /data/uploads /tmp/huggingface /tmp/torch /tmp/whisper && \
#     chmod -R 777 /data /tmp

# # Set environment variables
# ENV PYTHONUNBUFFERED=1
# ENV HF_HOME=/tmp/huggingface
# ENV HF_HOME=/tmp/huggingface
# ENV XDG_CACHE_HOME=/tmp
# ENV TORCH_HOME=/tmp/torch
# ENV WHISPER_CACHE=/tmp/whisper
# ENV PYTHONPATH=/app

# # Expose port
# EXPOSE 7860

# # Run the application with gunicorn
# CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--workers", "1", "--threads", "8", "--timeout", "0", "ai_med_extract.app:app"]







# # Multi-arch/mode Dockerfile that supports both GPU and CPU builds via build-args.
# # Defaults to CPU runtime suitable for Hugging Face Spaces Basic.

# ARG BASE_IMAGE=python:3.10-slim

# # Stage 1: builder (installs Python deps into a venv with build tooling)
# FROM ${BASE_IMAGE} AS builder

# ARG DEBIAN_FRONTEND=noninteractive
# ENV TZ=Etc/UTC

# # Install build tools only in builder
# RUN apt-get update && apt-get install -y --no-install-recommends \
#     tzdata \
#     build-essential \
#     python3 \
#     python3-pip \
#     python3-venv \
#     python3-dev \
#     tesseract-ocr \
#     poppler-utils \
#     ffmpeg \
#     && ln -fs /usr/share/zoneinfo/$TZ /etc/localtime \
#     && dpkg-reconfigure -f noninteractive tzdata \
#     && rm -rf /var/lib/apt/lists/*

# # Create virtual environment
# ENV VIRTUAL_ENV=/opt/venv
# RUN python3 -m venv "$VIRTUAL_ENV"
# ENV PATH="$VIRTUAL_ENV/bin:$PATH"

# WORKDIR /app
# COPY requirements.txt ./

# # Upgrade pip and install dependencies
# RUN pip install --upgrade pip && \
#     pip install --prefer-binary -r requirements.txt

# # Stage 2: runtime (minimal runtime deps + venv from builder)
# FROM ${BASE_IMAGE} AS runtime

# ARG DEBIAN_FRONTEND=noninteractive
# ENV TZ=Etc/UTC

# # Install only runtime system packages; keep minimal
# RUN apt-get update && apt-get install -y --no-install-recommends \
#     tzdata \
#     tesseract-ocr \
#     poppler-utils \
#     ffmpeg \
#     && ln -fs /usr/share/zoneinfo/$TZ /etc/localtime \
#     && dpkg-reconfigure -f noninteractive tzdata \
#     && rm -rf /var/lib/apt/lists/*

# # Copy Python environment from builder
# COPY --from=builder /opt/venv /opt/venv
# ENV PATH="/opt/venv/bin:$PATH"

# # App
# WORKDIR /app
# COPY . .

# # Reasonable cache dirs at runtime (kept outside image layers)
# ENV HF_HOME=/tmp/huggingface \
#     XDG_CACHE_HOME=/tmp \
#     TORCH_HOME=/tmp/torch \
#     WHISPER_CACHE=/tmp/whisper \
#     PYTHONUNBUFFERED=1 \
#     PYTHONPATH=/app \
#     GGUF_N_THREADS=2 \
#     GGUF_N_BATCH=64 \
#     OMP_NUM_THREADS=2 \
#     MKL_NUM_THREADS=2 \
#     NUMEXPR_NUM_THREADS=2

# # Ensure writable directories exist (works on Spaces read-only root)
# RUN mkdir -p /tmp/uploads /tmp/huggingface /tmp/torch /tmp/whisper && \
#     chmod -R 777 /tmp

# EXPOSE 7860

# CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--workers", "1", "--threads", "8", "--timeout", "0", "ai_med_extract.app:app"]


# Ultra-minimal Dockerfile optimized for Hugging Face Spaces
# Based on Spaces best practices for maximum cache efficiency

FROM python:3.10-slim

# Minimize layers and maximize cache hits
RUN apt-get update \
    && apt-get install -y --no-install-recommends \
        tzdata \
        tesseract-ocr \
        poppler-utils \
        ffmpeg \
    && ln -fs /usr/share/zoneinfo/Etc/UTC /etc/localtime \
    && dpkg-reconfigure -f noninteractive tzdata \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean \
    && rm -rf /tmp/*

WORKDIR /app

# Copy and install requirements in one layer for better caching
COPY requirements.txt .
RUN pip install --no-cache-dir --upgrade pip \
    && pip install --no-cache-dir -r requirements.txt

# Copy application code - only essential files
COPY ai_med_extract.py .
COPY services/ai-service/src/ai_med_extract ./ai_med_extract/
COPY services/ai-service/src/app.py ./ai_med_extract/
COPY services/ai-service/src/config_settings.py ./ai_med_extract/
COPY services/ai-service/src/gradio_app.py ./ai_med_extract/
COPY services/ai-service/src/wsgi.py ./ai_med_extract/

# Essential environment variables for Spaces compatibility
ENV PYTHONUNBUFFERED=1 \
    PYTHONPATH=/app \
    HF_HOME=/tmp \
    XDG_CACHE_HOME=/tmp \
    TORCH_HOME=/tmp \
    WHISPER_CACHE=/tmp \
    FAST_MODE=true \
    PRELOAD_SMALL_MODELS=false

# Create necessary directories with correct permissions
RUN mkdir -p /tmp/uploads /tmp/huggingface /tmp/torch /tmp/whisper \
    && chmod -R 777 /tmp

# Simple entrypoint - minimal script to avoid cache issues
RUN echo '#!/bin/bash\nrm -rf /tmp/* ~/.cache/* || true\nmkdir -p /tmp/uploads /tmp/huggingface /tmp/torch /tmp/whisper\nchmod -R 777 /tmp\nexec "$@"' > /start.sh && chmod +x /start.sh

ENTRYPOINT ["/start.sh"]

EXPOSE 7860

# Use uvicorn to serve the FastAPI app directly
CMD ["uvicorn", "ai_med_extract.app:app", "--host", "0.0.0.0", "--port", "7860"]