我也有同样的问题。如果你也使用python基础映像，你可以将shell脚本中的shebang行更改为#!/bin/bash。 例如，请参阅Manuel Lazo的container_entrypoint.sh。

我也有同样的问题。如果你也使用python基础映像，你可以将shell脚本中的shebang行更改为#!/bin/bash。 例如，请参阅Manuel Lazo的container_entrypoint.sh。

下面是一个示例Dockerfile，它利用了一些聪明的技术，让你为每个run节运行一个完整的conda环境。您可以使用类似的方法来执行脚本文件中的任意准备。

注意:当涉及到登录/交互式vs非登录/非交互式shell，信号，exec，多个参数的处理方式，引用，CMD和ENTRYPOINT如何交互，以及其他一百万件事情时，有很多细微差别，所以如果在使用这些东西时，事情会发生变化，不要气馁。我花了很多令人沮丧的时间在各种文学作品中挖掘，但我仍然不太明白这一切是如何奏效的。

## Conda with custom entrypoint from base ubuntu image
## Build with e.g. `docker build -t monoconda .`
## Run with `docker run --rm -it monoconda bash` to drop right into
## the environment `foo` !
FROM ubuntu:18.04

## Install things we need to install more things
RUN apt-get update -qq &&\
    apt-get install -qq curl wget git &&\
    apt-get install -qq --no-install-recommends \
        libssl-dev \
        software-properties-common \
    && rm -rf /var/lib/apt/lists/*

## Install miniconda
RUN wget -nv https://repo.anaconda.com/miniconda/Miniconda3-4.7.12-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

## add conda to the path so we can execute it by name
ENV PATH=/opt/conda/bin:$PATH

## Create /entry.sh which will be our new shell entry point. This performs actions to configure the environment
## before starting a new shell (which inherits the env).
## The exec is important! This allows signals to pass
RUN     (echo '#!/bin/bash' \
    &&   echo '__conda_setup="$(/opt/conda/bin/conda shell.bash hook 2> /dev/null)"' \
    &&   echo 'eval "$__conda_setup"' \
    &&   echo 'conda activate "${CONDA_TARGET_ENV:-base}"' \
    &&   echo '>&2 echo "ENTRYPOINT: CONDA_DEFAULT_ENV=${CONDA_DEFAULT_ENV}"' \
    &&   echo 'exec "$@"'\
        ) >> /entry.sh && chmod +x /entry.sh

## Tell the docker build process to use this for RUN.
## The default shell on Linux is ["/bin/sh", "-c"], and on Windows is ["cmd", "/S", "/C"]
SHELL ["/entry.sh", "/bin/bash", "-c"]
## Now, every following invocation of RUN will start with the entry script
RUN     conda update conda -y

## Create a dummy env
RUN     conda create --name foo

## I added this variable such that I have the entry script activate a specific env
ENV CONDA_TARGET_ENV=foo

## This will get installed in the env foo since it gets activated at the start of the RUN stanza
RUN  conda install pip

## Configure .bashrc to drop into a conda env and immediately activate our TARGET env
RUN conda init && echo 'conda activate "${CONDA_TARGET_ENV:-base}"' >>  ~/.bashrc
ENTRYPOINT ["/entry.sh"]

这是我在Ubuntu 20.04上的解决方案

RUN apt -y update
RUN apt -y install curl
SHELL ["/bin/bash", "-c"]
RUN curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.38.0/install.sh | bash
RUN source /root/.bashrc
RUN bash -c ". /root/.nvm/nvm.sh && nvm install v16 && nvm alias default v16 && nvm use default"

我曾经处理过一个用Django web框架开发的应用程序的类似场景，这些步骤对我来说非常有效:

我的Dockerfile内容

[mlazo@srvjenkins project_textile]$ cat docker/Dockerfile.debug 
FROM malazo/project_textile_ubuntu:latest 

ENV PROJECT_DIR=/proyectos/project_textile PROJECT_NAME=project_textile WRAPPER_PATH=/usr/share/virtualenvwrapper/virtualenvwrapper.sh

COPY . ${PROJECT_DIR}/
WORKDIR ${PROJECT_DIR}

RUN echo "source ${WRAPPER_PATH}" > ~/.bashrc
SHELL ["/bin/bash","-c","-l"]
RUN     mkvirtualenv -p $(which python3) ${PROJECT_NAME} && \
        workon ${PROJECT_NAME} && \
        pip3 install -r requirements.txt 

EXPOSE 8000

ENTRYPOINT ["tests/container_entrypoint.sh"]
CMD ["public/manage.py","runserver","0:8000"]

ENTRYPOINT文件"tests/container_entrypoint.sh"的内容:

[mlazo@srvjenkins project_textile]$ cat tests/container_entrypoint.sh
#!/bin/bash
# *-* encoding : UTF-8 *-*
sh tests/deliver_env.sh
source ~/.virtualenvs/project_textile/bin/activate 
exec python "$@"

最后，我部署容器的方式是:

[mlazo@srvjenkins project_textile]$ cat ./tests/container_deployment.sh 
#!/bin/bash

CONT_NAME="cont_app_server"
IMG_NAME="malazo/project_textile_app"
[ $(docker ps -a |grep -i ${CONT_NAME} |wc -l) -gt 0 ] && docker rm -f ${CONT_NAME} 
docker run --name ${CONT_NAME} -p 8000:8000 -e DEBUG=${DEBUG} -e MYSQL_USER=${MYSQL_USER} -e MYSQL_PASSWORD=${MYSQL_PASSWORD} -e MYSQL_HOST=${MYSQL_HOST} -e MYSQL_DATABASE=${MYSQL_DATABASE} -e MYSQL_PORT=${MYSQL_PORT}  -d ${IMG_NAME}

我真的希望这能对其他人有所帮助。

问候,

这可能是因为源代码是bash内置的，而不是文件系统上的二进制文件。您的意图是让您正在获取的脚本在之后更改容器吗?