问题描述
我正在尝试在 docker 容器中运行 DjangoRQ 工作人员 - 一个简单的“工作人员”容器,我将在数字海洋水滴上运行。我正在使用 supervisord 来运行多个工作人员。
如果我将容器命令设置为 sleep 3600
(这样我可以在它崩溃之前冲入)然后冲入容器并运行 supervisord -c supervisord.conf
,Supervisord 将运行。但是,如果我将容器上的命令设置为完全相同的命令,command: supervisord -c supervisord.conf
然后容器退出说 Unlinking stale socket /tmp/supervisor.sock
worker:
build:
context: ./
dockerfile: DockerfileWorker
env_file:
- .env
environment:
- DJANGO_CONfig
volumes:
- .:/dask
depends_on:
- postgres
- redis
command: sleep 3600
# `python-base` sets up all our shared environment variables
FROM ubuntu:latest
# python
ENV PYTHONUNBUFFERED=1 \
# prevents python creating .pyc files
PYTHONDONTWRITEBYTECODE=1 \
\
# pip
PIP_NO_CACHE_DIR=off \
PIP_disABLE_PIP_VERSION_CHECK=on \
PIP_DEFAULT_TIMEOUT=100 \
\
# poetry
# https://python-poetry.org/docs/configuration/#using-environment-variables
POETRY_VERSION=1.1.5 \
# make poetry install to this location
POETRY_HOME="/opt/poetry" \
# make poetry create the virtual environment in the project's root
# it gets named `.venv`
POETRY_VIRTUALENVS_IN_PROJECT=true \
# do not ask any interactive question
POETRY_NO_INteraCTION=1 \
\
# paths
# this is where our requirements + virtual environment will live
PYSETUP_PATH="/opt/pysetup" \
VENV_PATH="/opt/pysetup/.venv" \
LOG_LEVEL=DEBUG
# prepend poetry and venv to path
ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH"
RUN apt-get update \
&& apt-get install --no-install-recommends -y \
# deps for installing poetry
curl \
# deps for building python deps
build-essential \
python3-pip
# install poetry - respects $POETRY_VERSION & $POETRY_HOME
RUN pip3 install poetry
# copy project requirement files here to ensure they will be cached.
workdir $PYSETUP_PATH
copY poetry.lock pyproject.toml ./
# install runtime deps - uses $POETRY_VIRTUALENVS_IN_PROJECT internally
RUN poetry install --no-dev
# # `production` image used for runtime
# FROM python-base as production
copY . /dask
copY supervisord.conf /etc/supervisor/conf.d/supervisord.conf
workdir /dask
解决方法
对于遇到此问题的任何人 - 解决方案非常简单。您必须在前台运行 supervisord 否则 Docker 不认为进程正在运行,因此它退出。将 -n 标签添加到 supervisord 中,你会很高兴。
worker:
build:
context: ./
dockerfile: DockerfileWorker
env_file:
- .env
environment:
- DJANGO_CONFIG
volumes:
- .:/dask
depends_on:
- postgres
- redis
command: supervisord -n -c supervisord.conf