Dockerfile.api

# Dockerfile.api
FROM python:3.9-slim

# Set environment variables to prevent Python from writing .pyc files and to buffer output
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1

WORKDIR /app

# Install system dependencies if any (e.g., for database drivers, C extensions)
# RUN apt-get update && apt-get install -y --no-install-recommends some-package && rm -rf /var/lib/apt/lists/*

# Create a non-root user and group
RUN groupadd -r appuser && useradd -r -g appuser appuser

# Install pipenv if you were to use it, or just copy requirements.txt
COPY ./requirements.txt /app/requirements.txt

# Install Python dependencies
# Using a virtual environment within the Docker image is a good practice
RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"

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

# Copy the application code into the container
# Ensure this path matches your project structure
COPY ./app /app/app

# Change ownership of the app directory to the non-root user
RUN chown -R appuser:appuser /app
# Also ensure the venv is accessible if needed, though typically it's owned by root
# RUN chown -R appuser:appuser /opt/venv

# Switch to the non-root user
USER appuser

# Expose the port the API will run on (should match uvicorn command in docker-compose)
# This is defined by API_PORT in .env, default 8080
# EXPOSE ${API_PORT:-8080} # EXPOSE instruction doesn't support variable substitution directly during build.
# The port is exposed in docker-compose.yml.

# Command to run the Uvicorn server
# This is typically overridden by docker-compose.yml for development (e.g. with --reload)
# The CMD in docker-compose will take precedence.
CMD ["uvicorn", "app.api.main:app", "--host", "0.0.0.0", "--port", "8080"]