Есть несложный проект на Python 3.9 с использованием PyQt5 и matplotlib.
Если я запускаю его на Windows 10 в MS Visual Code, то он открывается и корректно работает.
Но если я пакую этот проект в контейнер Docker, то при запуске контейнера возникает следующая ошибка:
ImportError: Cannot load backend 'Qt5Agg' which requires the 'qt' interactive framework, as 'headless' is currently running
Первые строки кода:
import sys
import matplotlib
matplotlib.use("Qt5Agg")
Как тут быть?
Dockerfile прилагаю, он был создан автоматически через docker init.
spoiler# 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=3.9
FROM python:${PYTHON_VERSION}-slim as base
# Prevents Python from writing pyc files.
ENV PYTHONDONTWRITEBYTECODE=1
RUN apt-get update && apt-get install ffmpeg libsm6 libxext6 -y
# Keeps Python from buffering stdout and stderr to avoid situations where
# the application crashes without emitting any logs due to buffering.
ENV PYTHONUNBUFFERED=1
WORKDIR /app
# Create a non-privileged user that the app will run under.
# See https://docs.docker.com/go/dockerfile-user-best-practices/
ARG UID=10001
RUN adduser \
--disabled-password \
--gecos "" \
--home "/nonexistent" \
--shell "/sbin/nologin" \
--no-create-home \
--uid "${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 . .
# Expose the port that the application listens on.
EXPOSE 8000
# Run the application.
CMD python Interface.py
Файл requirements.txt
spoilermatplotlib==3.5.1
PyQt5==5.15.4
numpy==1.22.3
Средний
Простой
