我正在创建一个docker容器，该容器具有miniconda环境设置和一些软件包（pip和conda）。 Dockerfile：
# Use an official Miniconda runtime as a parent image
FROM continuumio/miniconda3
# Create the conda environment.
# RUN conda create -n dev_env Python=3.6
RUN conda update conda -y \
&& conda create -y -n dev_env Python=3.6 pip
ENV PATH /opt/conda/envs/dev_env/bin:$PATH
RUN /bin/bash -c "source activate dev_env" \
&& pip install azure-cli \
&& conda install -y nb_conda
我想要的行为是，在启动容器时，它应该自动切换到“ dev_env” conda环境，但是我无法使其正常工作。日志：
dparkar@mymachine:~/src/dev/setupsdk$ docker build .
Sending build context to Docker daemon 2.56kB
Step 1/4 : FROM continuumio/miniconda3
---> 1284db959d5d
Step 2/4 : RUN conda update conda -y && conda create -y -n dev_env Python=3.6 pip
---> Using cache
---> cb2313f4d8a8
Step 3/4 : ENV PATH /opt/conda/envs/dev_env/bin:$PATH
---> Using cache
---> 320d4fd2b964
Step 4/4 : RUN /bin/bash -c "source activate dev_env" && pip install azure-cli && conda install -y nb_conda
---> Using cache
---> 3c0299dfbe57
Successfully built 3c0299dfbe57
dparkar@mymachine:~/src/dev/setupsdk$ docker run -it 3c0299dfbe57
(base) root@3db861098892:/# source activate dev_env
(dev_env) root@3db861098892:/# exit
exit
dparkar@mymachine:~/src/dev/setupsdk$ docker run -it 3c0299dfbe57 source activate dev_env
[FATAL tini (7)] exec source failed: No such file or directory
dparkar@mymachine:~/src/dev/setupsdk$ docker run -it 3c0299dfbe57 /bin/bash source activate dev_env
/bin/bash: source: No such file or directory
dparkar@mymachine:~/src/dev/setupsdk$ docker run -it 3c0299dfbe57 /bin/bash "source activate dev_env"
/bin/bash: source activate dev_env: No such file or directory
dparkar@mymachine:~/src/dev/setupsdk$ docker run -it 3c0299dfbe57 /bin/bash -c "source activate dev_env"
dparkar@mymachine:~/src/dev/setupsdk$
正如您在上面看到的，当我在容器中时，我可以成功运行“ source activate dev_env”，并且环境会切换。但是我希望在启动容器时自动发生这种情况。
在构建期间，这也会在Dockerfile中发生。同样，我不确定这是否也有效果。
答案 0 :(得分：0)
对于与运行时相关的任何事情，都应使用命令modelfit1 <- lm(y~b0+b1*x+e, data=d)
modelfit1
# Call:
# lm(formula = y ~ b0 + b1 * x + e, data = d)
# Coefficients:
# (Intercept) b0 b1 x e b1:x
# 0.19331 NA NA -0.06752 0.02240 NA
summary(modelfit1)
# Call:
# lm(formula = y ~ b0 + b1 * x + e, data = d)
# Residuals:
# Min 1Q Median 3Q Max
# -2.5006 -0.4786 -0.1425 0.6211 1.8488
# Coefficients: (3 not defined because of singularities)
# Estimate Std. Error t value Pr(>|t|)
# (Intercept) 0.19331 0.25013 0.773 0.450
# b0 NA NA NA NA
# b1 NA NA NA NA
# x -0.06752 0.21720 -0.311 0.760
# e 0.02240 0.20069 0.112 0.912
# b1:x NA NA NA NA
# Residual standard error: 1.115 on 17 degrees of freedom
# Multiple R-squared: 0.006657, Adjusted R-squared: -0.1102
# F-statistic: 0.05697 on 2 and 17 DF, p-value: 0.9448
。
在CMD之后键入的任何内容都只会在映像创建时运行，而不是在您实际运行容器时运行。
在图像创建过程结束时，用于运行此类命令的外壳已关闭，从而在这种情况下无法持续进行环境激活。
这样，您的其他行可能如下所示：
RUN
CMD ["conda activate <your-env-name> && <other commands>"]
是激活环境后在运行时可能需要的其他命令。
答案 1 :(得分：0)
这个docker build文件对我有用。
# start with miniconda image
FROM continuumio/miniconda3
# setting the working directory
WORKDIR /usr/src/app
# Copy the file from your host to your current location in container
COPY . /usr/src/app
# Run the command inside your image filesystem to create an environment and name it in the requirements.yml file, in this case "myenv"
RUN conda env create --file requirements.yml
# Activate the environment named "myenv" with shell command
SHELL ["conda", "run", "-n", "myenv", "/bin/bash", "-c"]
# Make sure the environment is activated by testing if you can import flask or any other package you have in your requirements.yml file
RUN echo "Make sure flask is installed:"
RUN python -c "import flask"
# exposing port 8050 for interaction with local host
EXPOSE 8050
#Run your application in the new "myenv" environment
CMD ["conda", "run", "-n", "myenv", "python", "app.py"]