如何解决Python 3.8.5 docker alpine-CompileError:命令'gcc'失败,退出状态为1
我正在Docker上运行Django和Postgres。只是试图将Celery添加到项目中,但我无法使其运行。
Dockerfile:
FROM python:3.8.5-alpine
ENV PYTHONUNBUFFERED 1
RUN apk update \
# psycopg2 dependencies
&& apk add --virtual build-deps gcc python3-dev musl-dev \
&& apk add postgresql-dev \
# Pillow dependencies
&& apk add jpeg-dev zlib-dev freetype-dev lcms2-dev openjpeg-dev tiff-dev tk-dev tcl-dev \
# CFFI dependencies
&& apk add libffi-dev py-cffi \
&& apk add --no-cache openssl-dev libffi-dev
RUN mkdir /app
WORKDIR /app
COPY requirements.txt /app/
RUN pip install -r requirements.txt
COPY . /app/
docker-compose.yml:
version: '3'
volumes:
local_postgres_data: {}
services:
postgres:
image: postgres
environment:
- POSTGRES_DB=postgres
- POSTGRES_USER=postgres
- POSTGRES_PASSWORD=postgres
volumes:
- local_postgres_data:/var/lib/postgresql/data
env_file:
- ./.envs/.postgres
django: &django
build: .
command: python manage.py runserver 0.0.0.0:8000
volumes:
- .:/app/
ports:
- "8000:8000"
depends_on:
- postgres
rabbitmq:
image: rabbitmq:3.8.6
celeryworker:
<<: *django
image: celeryworker
restart: always
depends_on:
- rabbitmq
- postgres
ports: []
command: celery -A pyrty worker -l INFO
celerybeat:
<<: *django
image: celerybeat
restart: always
depends_on:
- rabbitmq
- postgres
ports: []
command: celery -A pyrty beat -l INFO
错误:
celerybeat_1 | [2020-08-16 17:12:54,206: WARNING/MainProcess] raise VerificationError('%s: %s' % (e.__class__.__name__,e))
celerybeat_1 | [2020-08-16 17:12:54,206: WARNING/MainProcess] cffi
celerybeat_1 | [2020-08-16 17:12:54,206: WARNING/MainProcess] .
celerybeat_1 | [2020-08-16 17:12:54,206: WARNING/MainProcess] VerificationError
celerybeat_1 | [2020-08-16 17:12:54,206: WARNING/MainProcess] :
celerybeat_1 | [2020-08-16 17:12:54,206: WARNING/MainProcess] CompileError: command 'gcc' failed with exit status 1
requirements.txt:
Django==3.1
psycopg2==2.8.3
djangorestframework==3.11.0
Celery==4.4.7
rabbitmq==0.2.0
Pillow==7.1.2
django-extensions==2.2.9
我确实运行了docker-compose build
,但一切似乎都还不错,但是当我完成docker-compose run
之后,我明白了。
芹菜工人和拍子都抛出相同的错误。让我知道是否需要整个跟踪。
版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。