aimingmed-ai/app/backend/Dockerfile

57 lines
1.4 KiB
Docker

# pull official base image
FROM python:3.11-slim-bookworm
# create directory for the app user
RUN mkdir -p /home/app
# create the app user
RUN addgroup --system app && adduser --system --group app
# create the appropriate directories
ENV HOME=/home/app
ENV APP_HOME=/home/app/backend
RUN mkdir $APP_HOME
WORKDIR $APP_HOME
# set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV ENVIRONMENT=dev
ENV TESTING=1
ENV CUDA_VISIBLE_DEVICES=""
COPY Pipfile $APP_HOME/
RUN pip install -i https://pypi.tuna.tsinghua.edu.cn/simple pipenv && rm -rf ~/.cache/pip
RUN pipenv install --deploy --dev --no-cache-dir
RUN pipenv run pip install torch --force-reinstall --no-cache-dir
# remove all cached files not needed to save space
RUN pip cache purge
RUN rm -rf /root/.cache
# add app
COPY . $APP_HOME
# Create cache directory and set permissions
RUN mkdir -p /home/app/.cache/huggingface
RUN chown -R app:app /home/app/.cache/huggingface
RUN chown -R app:app $APP_HOME
# change to the app user
USER app
# Run python to initialize download of SentenceTransformer model
RUN pipenv run python utils/initialize_sentence_transformer.py
# pytest
RUN pipenv run pytest tests --disable-warnings
# expose the port the app runs on
EXPOSE 80
# run uvicorn
CMD ["pipenv", "run", "uvicorn", "main:app", "--reload", "--workers", "1", "--host", "0.0.0.0", "--port", "80"]