# Use an official Python runtime as a parent image
FROM python:3.10-slim

# Set the working directory in the container
WORKDIR /app

# Create static folder structure (if needed by original UI, less critical for pure API)
RUN mkdir -p static/images

# Install system dependencies required by OpenCV and other libraries
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
    libgl1-mesa-glx \
    libglib2.0-0 \
    && rm -rf /var/lib/apt/lists/*

# Copy the requirements file into the container at /app
COPY requirements.txt .

# Install any needed packages specified in requirements.txt
# Ensure your requirements.txt is clean and includes gunicorn
RUN pip install --no-cache-dir -r requirements.txt

# Copy the rest of the application's source code
COPY app.py .
COPY exercises ./exercises
COPY pose_estimation ./pose_estimation
COPY feedback ./feedback
COPY utils ./utils
COPY db ./db
COPY static ./static
COPY templates ./templates

# Make port 8080 available to the world outside this container (Cloud Run default)
EXPOSE 8080

# Define environment variable for the port
ENV PORT 8080
ENV MPLCONFIGDIR /tmp/matplotlib_config_cache

# Run app.py when the container launches using Gunicorn WSGI server
CMD gunicorn --bind 0.0.0.0:${PORT} --workers 1 --threads 8 --timeout 0 app:app