[英]Docker Volume Mounting: How to find path in container?
I have a python script that I have placed inside a docker container named "grapher".我有一个 python 脚本,我将它放在名为“grapher”的 docker 容器中。 The python script inside the "grapher" container generates a graph and saves it like so: “grapher”容器内的 python 脚本会生成一个图形并像这样保存它:
# CODE ABOVE THIS MAKES PLOT #
plt.draw()
filename = "digraph" + str(self.count) + ".png"
plt.savefig(filename)
I want to access these saved figures on my computer, so I am attempting to use "volumes" inside my docker-compose file.我想在我的计算机上访问这些保存的数字,所以我试图在我的 docker-compose 文件中使用“卷”。 The problem is, all the tutorials I find say I need to include the "path in the container".问题是,我发现的所有教程都说我需要包含“容器中的路径”。 And then the tutorials just magically know what file path to use.然后教程神奇地知道要使用什么文件路径。
How the heck do I figure out what filepath my container is using??我怎么知道我的容器正在使用什么文件路径? I've made a bunch of file location guesses based off the tutorials I've found, one of which caused Ubuntu 18.04 to black-screen-of-death (whoops...).我根据我找到的教程做了一堆文件位置猜测,其中一个导致 Ubuntu 18.04 出现死机黑屏(哎呀......)。 I am totally lost.我完全迷路了。 I've included a snippet of my docker-compose.yml file below.我在下面包含了我的 docker-compose.yml 文件的片段。
version: '3.0'
services:
# OTHER CONTAINERS ABOVE THIS#
grapher:
build: ./Grapher
depends_on:
- hmi_pass_thru
volumes:
- graph-data:/home/vic/Documents/5ExtraExtraNodes/Grapher
network_mode: host
volumes:
graph-data:
networks:
test_net:
external: true
Please help.请帮忙。
Edit 1: My main confusion is that I don't have a file system inside my container.编辑 1:我的主要困惑是我的容器内没有文件系统。 My container is just running the python script.我的容器正在运行 python 脚本。 So how do I tell what my "path in container" is?那么我怎么知道我的“容器中的路径”是什么?
Edit 2 : My DockerFile that the "grapher" container is built from:编辑 2 :我的 DockerFile 构建“grapher”容器:
FROM python:3
WORKDIR /home/vic/Documents/5ExtraExtraNodes/Grapher
COPY requirements.txt ./
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
CMD ["python","-u","pcap_grapher3.py"]
Edit 3 : Results of exec
编辑 3 : exec
docker exec -it 5fe4dc4 /bin/bash
root@vic-Capstone:/home/vic/Documents/5ExtraExtraNodes/Grapher# ls -a
. digraph14.png digraph21.png digraph29.png digraph36.png digraph43.png digraph8.png
.. digraph15.png digraph22.png digraph3.png digraph37.png digraph44.png digraph9.png
Dockerfile digraph16.png digraph23.png digraph30.png digraph38.png digraph45.png pcap_grapher3.py
digraph1.png digraph17.png digraph24.png digraph31.png digraph39.png digraph46.png requirements.txt
digraph10.png digraph18.png digraph25.png digraph32.png digraph4.png digraph47.png
digraph11.png digraph19.png digraph26.png digraph33.png digraph40.png digraph5.png
digraph12.png digraph2.png digraph27.png digraph34.png digraph41.png digraph6.png
digraph13.png digraph20.png digraph28.png digraph35.png digraph42.png digraph7.png
root@vic-Capstone:/home/vic/Documents/5ExtraExtraNodes/Grapher#
I believe you are getting the syntax for volumes backwards.我相信您正在向后获取卷的语法。 If you are looking to save files from your container onto you host, bind the volumes as host:container
.如果您希望将容器中的文件保存到主机上,请将卷绑定为host:container
。
You can define whichever path you want inside your container's file system.您可以在容器的文件系统中定义您想要的任何路径。 Then, you save to that location.然后,您保存到该位置。
Since you copy your files over with因为你复制你的文件
COPY . .
Your script is copied to the container directory relative to the WORKDIR
.您的脚本被复制到相对于WORKDIR
的容器目录中。 Mounting this directory will allow you view/edit/save files to your host machine.挂载此目录将允许您查看/编辑/保存文件到您的主机。
From the docs:从文档:
volumes:
# Just specify a path and let the Engine create a volume
- /var/lib/mysql
# Specify an absolute path mapping
- /opt/data:/var/lib/mysql
# Path on the host, relative to the Compose file
- ./cache:/tmp/cache
# User-relative path
- ~/configs:/etc/configs/:ro
# Named volume
- datavolume:/var/lib/mysql
An example Dockerfile which may help explain it better than me:一个例子 Dockerfile 可能比我更好地解释它:
FROM python:3.8-slim-buster
# all code will be inside this directory in the container
WORKDIR /app
COPY requirements.txt requirements.txt
RUN pip3 install -r requirements.txt
# copy all code in present working directory on HOST to /app/. on the CONTAINER
COPY . .
CMD [ "python3", "-m" , "flask", "run", "--host=0.0.0.0"]
References:参考:
https://docs.docker.com/compose/compose-file/compose-file-v3/#volumes
https://docs.docker.com/language/python/build-images/
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