Python Celery 试图在 docker-compose 中占用一个端口号并产生问题
Python Celery trying to occupy a port number in docker-compose and creating problems
docker-compose.yml:
python-api: &python-api
build:
context: /Users/AjayB/Desktop/python-api/
ports:
- "8000:8000"
networks:
- app-tier
expose:
- "8000"
depends_on:
- python-model
volumes:
- .:/python_api/
environment:
- PYTHON_API_ENV=development
command: >
sh -c "ls /python-api/ &&
python_api_setup.sh development
python manage.py migrate &&
python manage.py runserver 0.0.0.0:8000"
python-model: &python-model
build:
context: /Users/AjayB/Desktop/Python/python/
ports:
- "8001:8001"
networks:
- app-tier
environment:
- PYTHON_API_ENV=development
expose:
- "8001"
volumes:
- .:/python_model/
command: >
sh -c "ls /python-model/
python_setup.sh development
cd /server/ &&
python manage.py migrate &&
python manage.py runserver 0.0.0.0:8001"
python-celery:
<<: *python-api
environment:
- PYTHON_API_ENV=development
networks:
- app-tier
links:
- redis:redis
depends_on:
- redis
command: >
sh -c "celery -A server worker -l info"
redis:
image: redis:5.0.8-alpine
hostname: redis
networks:
- app-tier
expose:
- "6379"
ports:
- "6379:6379"
command: ["redis-server"]
python-celery 在 python-api 里面，应该 运行 作为一个单独的容器。但它试图占用与 python-api 相同的端口，这永远不会是这种情况。
我得到的错误是：
AjayB$ docker-compose up
Creating integrated_redis_1 ... done
Creating integrated_python-model_1 ... done
Creating integrated_python-api_1 ...
Creating integrated_python-celery_1 ... error
Creating integrated_python-api_1 ... done
e1d1055165b1f85f179f69c): Bind for 0.0.0.0:8000 failed: port is already allocated
ERROR: for python-celery Cannot start service python-celery: driver failed programming external connectivity on endpoint integrated_python-celery_1 (ab5e079dbc3a30223e16052f21744c2b5dfc56adbe1d1055165b1f85f179f69c): Bind for 0.0.0.0:8000 failed: port is already allocated
ERROR: Encountered errors while bringing up the project.
在做 docker ps -a 时，我明白了：
AjayB$ docker ps -a
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
2ff1277fb7a7 integrated_python-celery "sh -c 'celery -A se…" 10 seconds ago Created integrated_python-celery_1
5b60221b42a4 integrated_python-api "sh -c 'ls /crackd-a…" 11 seconds ago Up 9 seconds 0.0.0.0:8000->8000/tcp integrated_python-api_1
bacd8aa3268f integrated_python-model "sh -c 'ls /crackd-m…" 12 seconds ago Exited (2) 10 seconds ago integrated_python-model_1
9fdab833b436 redis:5.0.8-alpine "docker-entrypoint.s…" 12 seconds ago Up 10 seconds 0.0.0.0:6379->6379/tcp integrated_redis_1
尝试强制删除容器并尝试 docker-compose up 得到同样的错误。 ：/我在哪里犯错？
只是对 volumes: 部分表示怀疑。谁能告诉我 volumes 是否正确？
请帮我解决这个错误。 PS，先试穿 docker。
谢谢！
这是因为您重新使用了 python-api 的完整配置，包括将公开端口 8000 的 ports 部分（顺便说一句，expose 是多余的，因为您的 ports 部分已经公开了端口）。
我会创建一个可供任何服务使用的公共部分。在你的情况下，它会是这样的：
version: '3.7'
x-common-python-api:
&default-python-api
build:
context: /Users/AjayB/Desktop/python-api/
networks:
- app-tier
environment:
- PYTHON_API_ENV=development
volumes:
- .:/python_api/
services:
python-api:
<<: *default-python-api
ports:
- "8000:8000"
depends_on:
- python-model
command: >
sh -c "ls /python-api/ &&
python_api_setup.sh development
python manage.py migrate &&
python manage.py runserver 0.0.0.0:8000"
python-model: &python-model
.
.
.
python-celery:
<<: *default-python-api
links:
- redis:redis
depends_on:
- redis
command: >
sh -c "celery -A server worker -l info"
redis:
.
.
.
docker-compose.yml 文件中有很多内容，但其中很多是不必要的。 expose: 在 Dockerfile 中几乎什么都不做； links: 当前网络系统不需要； Compose 为您提供 default 网络；您的 volumes: 尝试将代码注入图像中应该已经存在的容器中。如果你清理所有这些，你真正想要从一个容器重用到另一个容器的唯一部分是它的 build:（或 image:），此时 YAML 锚点语法是不必要的.
这个 docker-compose.yml 在功能上应该等同于您在问题中显示的内容：
version: '3'
services:
python-api:
build:
context: /Users/AjayB/Desktop/python-api/
ports:
- "8000:8000"
# No networks:, use `default`
# No expose:, use what's in the Dockerfile (or nothing)
depends_on:
- python-model
# No volumes:, use what's in the Dockerfile
# No environment:, this seems to be a required setting in the Dockerfile
# No command:, use what's in the Dockerfile
python-model:
build:
context: /Users/AjayB/Desktop/Python/python/
ports:
- "8001:8001"
python-celery:
build: # copied from python-api
context: /Users/AjayB/Desktop/python-api/
depends_on:
- redis
command: celery -A server worker -l info # one line, no sh -c wrapper
redis:
image: redis:5.0.8-alpine
# No hostname:, it doesn't do anything
ports:
- "6379:6379"
# No command:, use what's in the image
再次注意，我们实际上从 python-api 容器复制到 python-celery 容器的唯一东西是 build: 块；将在两个容器之间共享的所有其他设置（代码、公开的端口）都包含在描述如何构建图像的 Dockerfile 中。
另一方面，您需要确保所有这些设置实际上都包含在您的 Dockerfile:
# Copy the application code in
COPY . .
# Set the "development" environment variable
ENV PYTHON_API_ENV=development
# Document which port you'll use by default
EXPOSE 8000
# Specify the default command to run
# (Consider writing a shell script with this content instead)
CMD python_api_setup.sh development && \
python manage.py migrate && \
python manage.py runserver 0.0.0.0:8000
docker-compose.yml:
python-api: &python-api
build:
context: /Users/AjayB/Desktop/python-api/
ports:
- "8000:8000"
networks:
- app-tier
expose:
- "8000"
depends_on:
- python-model
volumes:
- .:/python_api/
environment:
- PYTHON_API_ENV=development
command: >
sh -c "ls /python-api/ &&
python_api_setup.sh development
python manage.py migrate &&
python manage.py runserver 0.0.0.0:8000"
python-model: &python-model
build:
context: /Users/AjayB/Desktop/Python/python/
ports:
- "8001:8001"
networks:
- app-tier
environment:
- PYTHON_API_ENV=development
expose:
- "8001"
volumes:
- .:/python_model/
command: >
sh -c "ls /python-model/
python_setup.sh development
cd /server/ &&
python manage.py migrate &&
python manage.py runserver 0.0.0.0:8001"
python-celery:
<<: *python-api
environment:
- PYTHON_API_ENV=development
networks:
- app-tier
links:
- redis:redis
depends_on:
- redis
command: >
sh -c "celery -A server worker -l info"
redis:
image: redis:5.0.8-alpine
hostname: redis
networks:
- app-tier
expose:
- "6379"
ports:
- "6379:6379"
command: ["redis-server"]
python-celery 在 python-api 里面，应该 运行 作为一个单独的容器。但它试图占用与 python-api 相同的端口，这永远不会是这种情况。
我得到的错误是：
AjayB$ docker-compose up
Creating integrated_redis_1 ... done
Creating integrated_python-model_1 ... done
Creating integrated_python-api_1 ...
Creating integrated_python-celery_1 ... error
Creating integrated_python-api_1 ... done
e1d1055165b1f85f179f69c): Bind for 0.0.0.0:8000 failed: port is already allocated
ERROR: for python-celery Cannot start service python-celery: driver failed programming external connectivity on endpoint integrated_python-celery_1 (ab5e079dbc3a30223e16052f21744c2b5dfc56adbe1d1055165b1f85f179f69c): Bind for 0.0.0.0:8000 failed: port is already allocated
ERROR: Encountered errors while bringing up the project.
在做 docker ps -a 时，我明白了：
AjayB$ docker ps -a
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
2ff1277fb7a7 integrated_python-celery "sh -c 'celery -A se…" 10 seconds ago Created integrated_python-celery_1
5b60221b42a4 integrated_python-api "sh -c 'ls /crackd-a…" 11 seconds ago Up 9 seconds 0.0.0.0:8000->8000/tcp integrated_python-api_1
bacd8aa3268f integrated_python-model "sh -c 'ls /crackd-m…" 12 seconds ago Exited (2) 10 seconds ago integrated_python-model_1
9fdab833b436 redis:5.0.8-alpine "docker-entrypoint.s…" 12 seconds ago Up 10 seconds 0.0.0.0:6379->6379/tcp integrated_redis_1
尝试强制删除容器并尝试 docker-compose up 得到同样的错误。 ：/我在哪里犯错？
只是对 volumes: 部分表示怀疑。谁能告诉我 volumes 是否正确？
请帮我解决这个错误。 PS，先试穿 docker。
谢谢！
这是因为您重新使用了 python-api 的完整配置，包括将公开端口 8000 的 ports 部分（顺便说一句，expose 是多余的，因为您的 ports 部分已经公开了端口）。
我会创建一个可供任何服务使用的公共部分。在你的情况下，它会是这样的：
version: '3.7'
x-common-python-api:
&default-python-api
build:
context: /Users/AjayB/Desktop/python-api/
networks:
- app-tier
environment:
- PYTHON_API_ENV=development
volumes:
- .:/python_api/
services:
python-api:
<<: *default-python-api
ports:
- "8000:8000"
depends_on:
- python-model
command: >
sh -c "ls /python-api/ &&
python_api_setup.sh development
python manage.py migrate &&
python manage.py runserver 0.0.0.0:8000"
python-model: &python-model
.
.
.
python-celery:
<<: *default-python-api
links:
- redis:redis
depends_on:
- redis
command: >
sh -c "celery -A server worker -l info"
redis:
.
.
.
docker-compose.yml 文件中有很多内容，但其中很多是不必要的。 expose: 在 Dockerfile 中几乎什么都不做； links: 当前网络系统不需要； Compose 为您提供 default 网络；您的 volumes: 尝试将代码注入图像中应该已经存在的容器中。如果你清理所有这些，你真正想要从一个容器重用到另一个容器的唯一部分是它的 build:（或 image:），此时 YAML 锚点语法是不必要的.
这个 docker-compose.yml 在功能上应该等同于您在问题中显示的内容：
version: '3'
services:
python-api:
build:
context: /Users/AjayB/Desktop/python-api/
ports:
- "8000:8000"
# No networks:, use `default`
# No expose:, use what's in the Dockerfile (or nothing)
depends_on:
- python-model
# No volumes:, use what's in the Dockerfile
# No environment:, this seems to be a required setting in the Dockerfile
# No command:, use what's in the Dockerfile
python-model:
build:
context: /Users/AjayB/Desktop/Python/python/
ports:
- "8001:8001"
python-celery:
build: # copied from python-api
context: /Users/AjayB/Desktop/python-api/
depends_on:
- redis
command: celery -A server worker -l info # one line, no sh -c wrapper
redis:
image: redis:5.0.8-alpine
# No hostname:, it doesn't do anything
ports:
- "6379:6379"
# No command:, use what's in the image
再次注意，我们实际上从 python-api 容器复制到 python-celery 容器的唯一东西是 build: 块；将在两个容器之间共享的所有其他设置（代码、公开的端口）都包含在描述如何构建图像的 Dockerfile 中。
另一方面，您需要确保所有这些设置实际上都包含在您的 Dockerfile:
# Copy the application code in
COPY . .
# Set the "development" environment variable
ENV PYTHON_API_ENV=development
# Document which port you'll use by default
EXPOSE 8000
# Specify the default command to run
# (Consider writing a shell script with this content instead)
CMD python_api_setup.sh development && \
python manage.py migrate && \
python manage.py runserver 0.0.0.0:8000