Dockerfile

# syntax=docker/dockerfile:1

# Comments are provided throughout this file to help you get started.
# If you need more help, visit the Dockerfile reference guide at
# https://docs.docker.com/go/dockerfile-reference/

# Want to help us make this template better? Share your feedback here: https://forms.gle/ybq9Krt8jtBL3iCk7

ARG PYTHON_VERSION=3.10.14
FROM python:${PYTHON_VERSION} as base

# Prevents Python from writing pyc files.
ENV PYTHONDONTWRITEBYTECODE=1

# Keeps Python from buffering stdout and stderr to avoid situations where
# the application crashes without emitting any logs due to buffering.
ENV PYTHONUNBUFFERED=1

WORKDIR /app

# Create a non-privileged user that the app will run under.
# See https://docs.docker.com/go/dockerfile-user-best-practices/
# ARG UID=10001
# RUN adduser \
#     --disabled-password \
#     --gecos "" \
#     --home "/nonexistent" \
#     --shell "/sbin/nologin" \
#     --no-create-home \
#     --uid "${UID}" \
#     appuser

# Download dependencies as a separate step to take advantage of Docker's caching.
# Leverage a cache mount to /root/.cache/pip to speed up subsequent builds.
# Leverage a bind mount to requirements.txt to avoid having to copy them into
# into this layer.
RUN --mount=type=cache,target=/root/.cache/pip \
    --mount=type=bind,source=requirements.txt,target=requirements.txt \
    python -m pip install -r requirements.txt

# Switch to the non-privileged user to run the application.
# USER appuser

# Copy the source code into the container.
COPY ./data ./data
COPY ./backend ./backend
COPY ./documentation_bot ./documentation_bot
COPY ./frontend ./frontend
COPY ./structured_query ./structured_query
COPY ./ollama ./ollama
COPY ./llm_service ./llm_service
COPY ./start_docker_local.sh ./start_docker_local.sh 
COPY ./start_local.sh ./start_local.sh
COPY ./start_training.sh ./start_training.sh
COPY ./stop_docker.sh ./stop_docker.sh

RUN curl -fsSL https://ollama.com/install.sh | sh
RUN ollama serve & sleep 5 && ollama run llama3
# Expose the port that the application listens on.
EXPOSE 8000
EXPOSE 8081
EXPOSE 8083
EXPOSE 8501
EXPOSE 11434

# Run the application.
# CMD uvicorn 'backend.backend:app' --host=0.0.0.0 --port=8000
# CMD [ "ls" ]
CMD [ "./start_docker_local.sh" ]