# Stage 1: Base Image and System Dependencies
# ------------------------------------------
# Use an official Python slim image. These are multi-arch and will pull the arm64 variant on Apple Silicon.
# Choose the Python version matching your project requirement (e.g., 3.11, 3.12).
FROM python:3.11-slim AS base
COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/

# Set environment variables to prevent interactive prompts during package installations
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1
ENV DEBIAN_FRONTEND=noninteractive

# Install essential system dependencies
# - build-essential: Required for compiling some Python packages with C extensions.
# - pkg-config: Helper tool for finding library compilation flags.
# - default-libmysqlclient-dev: Required for mysqlclient (MySQL/MariaDB adapter).
#   (Replaced libpq-dev from previous version).
# - curl: Needed to download the uv installer script.
# Clean up apt cache afterwards to keep the image size down.
RUN apt-get update \
    && apt-get install -y --no-install-recommends \
       build-essential \
       pkg-config \
       default-libmysqlclient-dev \
       curl \
       clang \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Stage 2: Install uv
# -------------------
# Install uv using the recommended script.
# RUN curl -LsSf https://astral.sh/uv/install.sh | sh
# Add uv to the PATH
# ENV PATH="/root/.cargo/bin:$PATH"

# Stage 3: Application Setup
# --------------------------
# Set the working directory inside the container
WORKDIR /app

# Copy dependency file(s)
# Ensure requirements.txt includes Django and all other necessary packages.
# COPY requirements.txt requirements.txt
# If you use pyproject.toml for dependencies primarily, copy it instead or as well:
COPY pyproject.toml pyproject.toml

# Install Python dependencies using uv from requirements.txt
# --system: Install packages into the system Python environment within the container (common for Docker)
# --no-cache: Avoid caching downloads/builds within this layer to keep it smaller
# RUN uv pip install --system --no-cache-dir -r requirements.txt

# NOTE: Removed the 'uv pip install .' command below as it caused the
# "Multiple top-level packages discovered" error. We typically only need
# to install dependencies from requirements.txt for running a Django app in Docker.
# Ensure your requirements.txt is complete.
# -----------------------------------------------------------------------------
# Or if using pyproject.toml (ensure it defines dependencies correctly):

ENV UV_LINK_MODE=copy
RUN uv pip install --system --no-cache-dir .
# -----------------------------------------------------------------------------


# Copy the rest of the application code into the container
COPY . .

# Collect static files
RUN uv run python cmcsales/manage.py collectstatic --noinput

# Expose the port the Django app runs on (adjust if you use a different port)
EXPOSE 8000


# Default command to run the application
# This is often overridden by docker-compose.yml, but it's good practice to have a default.
# Replace 'myproject' with your actual Django project directory name if different.
CMD ["uv", "run", "python", "cmcsales/manage.py", "runserver", "0.0.0.0:8000"]