【问题标题】:Django: Celery only works on local but not production using the cookiecutter projectDjango:Celery 仅适用于本地,但不能使用 cookiecutter 项目进行生产
【发布时间】:2022-06-11 20:05:13
【问题描述】:

我使用 django cookie 切割器建立了一个项目,并使用 docker 选项 https://cookiecutter-django.readthedocs.io/en/latest/deployment-with-docker.html 部署它

Celery 在我的本地机器上完美运行,并为我提供了很多日志信息,但在生产中,我对 Celery 或 redis 一无所知。 (我使用 Redis 作为工作人员)。 由于我是 celery 新手,在 cookiecutter 或 celery 文档中找不到任何东西,我想你们中的一个人可能知道更多。

在将 Celery 与 django cookiecutter 一起使用时,我需要做些什么不同的事情吗? 或者有没有办法调试这个?到目前为止,我尝试了内部 caprover 日志和 docker 日志。

这是我用于生产的 dockerfile:

ARG PYTHON_VERSION=3.9-slim-bullseye



# define an alias for the specfic python version used in this file.
FROM python:${PYTHON_VERSION} as python

# Python build stage
FROM python as python-build-stage

ARG BUILD_ENVIRONMENT=production

# Install apt packages
RUN apt-get update && apt-get install --no-install-recommends -y \
  # dependencies for building Python packages
  build-essential \
  # psycopg2 dependencies
  libpq-dev

# Requirements are installed here to ensure they will be cached.
COPY ./requirements .

# Create Python Dependency and Sub-Dependency Wheels.
RUN pip wheel --wheel-dir /usr/src/app/wheels  \
  -r ${BUILD_ENVIRONMENT}.txt


# Python 'run' stage
FROM python as python-run-stage

ARG BUILD_ENVIRONMENT=production
ARG APP_HOME=/app

ENV PYTHONUNBUFFERED 1
ENV PYTHONDONTWRITEBYTECODE 1
ENV BUILD_ENV ${BUILD_ENVIRONMENT}

WORKDIR ${APP_HOME}

RUN addgroup --system django \
    && adduser --system --ingroup django django


# Install required system dependencies
RUN apt-get update && apt-get install --no-install-recommends -y \
  # psycopg2 dependencies
  libpq-dev \
  # Translations dependencies
  gettext \
  # cleaning up unused files
  && apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false \
  && rm -rf /var/lib/apt/lists/*

# All absolute dir copies ignore workdir instruction. All relative dir copies are wrt to the workdir instruction
# copy python dependency wheels from python-build-stage
COPY --from=python-build-stage /usr/src/app/wheels  /wheels/

# use wheels to install python dependencies
RUN pip install --no-cache-dir --no-index --find-links=/wheels/ /wheels/* \
  && rm -rf /wheels/


COPY --chown=django:django ./compose/production/django/entrypoint /entrypoint
RUN sed -i 's/\r$//g' /entrypoint
RUN chmod +x /entrypoint


COPY --chown=django:django ./compose/production/django/start /start
RUN sed -i 's/\r$//g' /start
RUN chmod +x /start
COPY --chown=django:django ./compose/production/django/celery/worker/start /start-celeryworker
RUN sed -i 's/\r$//g' /start-celeryworker
RUN chmod +x /start-celeryworker


COPY --chown=django:django ./compose/production/django/celery/beat/start /start-celerybeat
RUN sed -i 's/\r$//g' /start-celerybeat
RUN chmod +x /start-celerybeat


COPY ./compose/production/django/celery/flower/start /start-flower
RUN sed -i 's/\r$//g' /start-flower
RUN chmod +x /start-flower
VOLUME captain---voldata:/app

# copy application code to WORKDIR
COPY --chown=django:django . ${APP_HOME}

# make django owner of the WORKDIR directory as well.
RUN chown django:django ${APP_HOME}

USER django

CMD ["/start"]

CELERY_ALWAYS_EAGER 设置为 False

【问题讨论】:

    标签: django docker celery django-celery


    【解决方案1】:

    我不知道您显然必须设置两个几乎相同的 Django 安装,因为 gunicorn 已经占据了生产环境中的外壳。在另一个 Django 实例上,您只需运行 celery。

    【讨论】:

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