# Use an official Python runtime as a parent image
FROM python:3.11.1

# Set the working directory in the container
WORKDIR /app

# Install poetry
# RUN pip3 install poetry==1.7.1

# Copy the current directory contents into the container at /usr/src/app
COPY . .

# Install dependencies
# RUN poetry config virtualenvs.create false \
#     && poetry install --no-interaction --no-ansi
# Streamlit must be installed separately. Potentially this will cause an issue with dependencies in the future, but it's the only way it works.
# RUN pip3 install streamlit  

#  Install dependencies
RUN pip3 install -r requirements.txt

# Make a port available to the world outside this container
# The EXPOSE instruction informs Docker that the container listens on the specified network ports at runtime. Your container needs to listen to Streamlit’s (default) port 8501.
EXPOSE 8501

# The HEALTHCHECK instruction tells Docker how to test a container to check that it is still working. Your container needs to listen to Streamlit’s (default) port 8501:
HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health

# An ENTRYPOINT allows you to configure a container that will run as an executable. Here, it also contains the entire streamlit run command for your app, so you don’t have to call it from the command line
ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]

# Execute with:
# docker build -t <image_name> .    
# docker run -p 8501:8501 <image_name>