Dockerfile

# syntax=docker/dockerfile:1.4

# Step 1: Setup backend environment with Miniconda
FROM continuumio/miniconda3:latest AS backend

# Install system dependencies for OpenCV
RUN apt-get update && apt-get install -y \
    libgl1-mesa-glx \
    libglib2.0-0 && \
    rm -rf /var/lib/apt/lists/*

# Create a non-root user for security purposes
RUN useradd -m -u 1000 user
USER user
ENV PATH="/home/user/.local/bin:$PATH"

# Set the working directory for the backend
WORKDIR /api

# Copy the environment file and install dependencies
COPY --chown=user api/environment.yml ./

# Install the conda environment
RUN conda env create -n mgd --file environment.yml && conda clean -a -y

# Install additional Python packages via pip after activating conda environment
RUN /bin/bash -c "source /opt/conda/etc/profile.d/conda.sh && conda activate mgd && pip install Flask Flask-Cors Flask-Limiter gunicorn"

# Copy the backend application code
COPY --chown=user api/ .

RUN mkdir -p /api/output/generato_paired_paired/images && chown -R user:user /api/output



# Expose port 7860 for the backend service
EXPOSE 7860

# Set default command to initialize conda, activate the environment, and start the backend model
CMD ["bash", "-c", "source /opt/conda/etc/profile.d/conda.sh && conda activate mgd && python app.py --host=0.0.0.0 --port 7860"]