Dockerfile.backend

# FROM python:3.10-slim

# RUN apt-get update && apt-get install -y \
#     libpq-dev \
#     gcc \
#     && rm -rf /var/lib/apt/lists/*

# WORKDIR /app

# COPY requirements.txt .

# RUN pip install --upgrade pip  
# RUN pip install --no-cache-dir -r requirements.txt

# COPY . .

# # Expose the port your app runs on
# EXPOSE 7410

# # Command to run the application
# CMD ["python", "app.py"]

FROM python:3.10-slim

# Install system dependencies. libpq-dev is for psycopg2, gcc for compiling.
RUN apt-get update && apt-get install -y \
    libpq-dev \
    gcc \
    libgl1-mesa-glx \
    libglib2.0-0 \
    # Clean up APT cache to reduce image size
    && rm -rf /var/lib/apt/lists/*

# Set the working directory in the container
WORKDIR /app

# Copy only requirements.txt first to leverage Docker's build cache
COPY requirements.txt .

# Install uv globally in the container
# We use pip to install uv, but uv will then manage subsequent Python package installations.
# Using --break-system-packages is necessary because we are installing into the system Python environment inside the container.
# This is generally acceptable in a Docker image where the environment is isolated.
RUN pip install --no-cache-dir uv --break-system-packages

# Use uv to install Python dependencies from requirements.txt
# --no-cache-dir is implied by uv's design, but it's good practice to be explicit if it were pip.
# uv by default doesn't cache packages in a way pip does.
RUN uv pip install --system -r requirements.txt

# Copy the rest of your application code
COPY . .

# Expose the port your application listens on
EXPOSE 7410

# Command to run your application
CMD ["python", "app.py"]