问题描述
我正在尝试创建一个安装了miniconda3的docker映像。我想从头开始,而不是直接使用base image offered in docker hub,而是创建自己的Dockerfile,并在其中放置Continuousumio / miniconda3映像的Dockerfile的命令,这些命令是:
FROM debian:latest
# $ docker build . -t continuumio/miniconda3:latest -t continuumio/miniconda3:4.5.11
# $ docker run --rm -it continuumio/miniconda3:latest /bin/bash
# $ docker push continuumio/miniconda3:latest
# $ docker push continuumio/miniconda3:4.5.11
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
ENV PATH /opt/conda/bin:$PATH
RUN apt-get update --fix-missing && \
apt-get install -y wget bzip2 ca-certificates curl git && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-4.5.11-Linux-x86_64.sh -O ~/miniconda.sh && \
/bin/bash ~/miniconda.sh -b -p /opt/conda && \
rm ~/miniconda.sh && \
/opt/conda/bin/conda clean -tipsy && \
ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
echo "conda activate base" >> ~/.bashrc
ENV tini_VERSION v0.16.1
ADD https://github.com/krallin/tini/releases/download/${tini_VERSION}/tini /usr/bin/tini
RUN chmod +x /usr/bin/tini
ENTRYPOINT [ "/usr/bin/tini","--" ]
CMD [ "/bin/bash" ]
构建和运行容器可以正常工作。作为参考,这是conda info
在容器中的输出:
(base) root@def48bd1ed5d:/# conda info
active environment : base
active env location : /opt/conda
shell level : 1
user config file : /root/.condarc
populated config files :
conda version : 4.5.11
conda-build version : not installed
python version : 3.7.0.final.0
base environment : /opt/conda (writable)
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/linux-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/linux-64
https://repo.anaconda.com/pkgs/pro/noarch
package cache : /opt/conda/pkgs
/root/.conda/pkgs
envs directories : /opt/conda/envs
/root/.conda/envs
platform : linux-64
user-agent : conda/4.5.11 requests/2.19.1 cpython/3.7.0 Linux/4.4.0-187-generic debian/10 glibc/2.28
UID:GID : 0:0
netrc file : None
offline mode : False
每当我尝试使用conda
安装模块(例如conda install jupyter -y
)时,都会出现问题。该过程开始,在安装过程中的某个时候出现此错误:
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Traceback (most recent call last):
File "/opt/conda/bin/conda",line 7,in <module>
from conda.cli import main
ModuleNotFoundError: No module named 'conda'
(base) root@def48bd1ed5d:/#
此后,似乎安装已被破坏。如果我尝试再次使用conda
命令来调用示例conda info
,则会收到相同的错误:
(base) root@def48bd1ed5d:/# conda info
Traceback (most recent call last):
File "/opt/conda/bin/conda",in <module>
from conda.cli import main
ModuleNotFoundError: No module named 'conda'
(base) root@def48bd1ed5d:/#
解决方法
miniconda3
版本不是最新版本
您用来构建本地映像的Dockerfile将安装miniconda3-4.5.11
而不是最新版本。您可以在这里找到它:
...
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-4.5.11-Linux-x86_64.sh -O ~/miniconda.sh && \
/bin/bash ~/miniconda.sh -b -p /opt/conda &&
...
并以这种方式使用docker
:
$ docker build --tag miniconda3:test .
$ docker docker run -i -t miniconda3:test /bin/bash
$ docker history --no-trunc miniconda3:test | grep Miniconda3
/bin/sh -c wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-4.5.11-Linux-x86_64.sh -O ~/miniconda.sh && ...
好,现在让我们看看官方的continuumio/miniconda3
:
$ docker run -i -t continuumio/miniconda3 /bin/bash
然后:
$ docker history --no-trunc continuumio/miniconda3 | grep Miniconda3
/bin/sh -c wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && ...
您可以看到DockerHub上的continuumio/miniconda3
映像安装了最新的miniconda3
4.8.2
而非4.5.11
版本。因此,从该Dockerfile
构建的本地映像将产生带有miniconda3:4.5.11
的容器。
python
版本中的更改会中断conda
现在,让我们找出为什么conda
失败的原因。首先构建并运行:
$ docker build --tag miniconda3:test .
$ docker docker run -i -t miniconda3:test /bin/bash
获取一些信息:
(base) root@61cafd17d954:/# conda info
active environment : base
active env location : /opt/conda
shell level : 1
user config file : /root/.condarc
populated config files :
conda version : 4.5.11
conda-build version : not installed
python version : 3.7.0.final.0
base environment : /opt/conda (writable)
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/linux-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/linux-64
https://repo.anaconda.com/pkgs/pro/noarch
package cache : /opt/conda/pkgs
/root/.conda/pkgs
envs directories : /opt/conda/envs
/root/.conda/envs
platform : linux-64
user-agent : conda/4.5.11 requests/2.19.1 CPython/3.7.0 Linux/5.4.0-48-generic debian/10 glibc/2.28
UID:GID : 0:0
netrc file : None
offline mode : False
好吧,我们有conda:4.5.11
和python:3.7.0
。
现在,我们将安装jupyter
,例如:
(base) root@61cafd17d954:/# conda install jupyter
您可能会注意到,此安装将更新python
:
The following packages will be UPDATED:
...
python: 3.7.0-hc3d631a_0 --> 3.8.5-h7579374_1
...
如果继续,这将更新python
并将破坏conda
:
...
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Traceback (most recent call last):
File "/opt/conda/bin/conda",line 7,in <module>
from conda.cli import main
ModuleNotFoundError: No module named 'conda'
这是一个众所周知的问题,您可以在How does using conda to install a package change my python version and remove conda?答案和官方的conda仓库:No module named conda.cli.main #2463中找到有关此问题的更多信息。
更新conda
或对Dockerfile
使用miniconda3:latest
有3种可能的解决方案:
- 通过替换以下行来编辑
Dockerfile
:
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-4.5.11-Linux-x86_64.sh -O ~/miniconda.sh && \
使用
RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && \
-
使用
Dockerfile
中最新的官方ContinuumIO
,您可以找到here。 -
在使用前更新容器内的
conda
:
(base) root@61cafd17d954:/# conda update conda