So I built a docker image file and now when I try to run it , it gives me the error :
Failed to run image. Error: (HTTP code 400) unexpected - failed to create task for container: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: exec: "jupyter": executable file not found in $PATH: unknown
Dockerfile :
FROM python:3.10-slim-bullseye
WORKDIR /project_dir
RUN apt-get update \
&& apt-get install -y build-essential unzip \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
RUN pip install kaggle
COPY requirements.txt /project_dir/
RUN pip install --no-cache-dir -r requirements.txt
COPY kaggle.json /root/.kaggle/kaggle.json
RUN chmod 600 /root/.kaggle/kaggle.json
RUN kaggle datasets download -d odins0n/ucf-crime-dataset -p /app/kaggle_dataset/ \
&& unzip /app/kaggle_dataset/ucf-crime-dataset.zip -d /app/kaggle_dataset/ \
&& rm /app/kaggle_dataset/ucf-crime-dataset.zip
COPY . /project_dir/
CMD ["jupyter", "notebook", "--ip='*'", "--port=8888", "--no-browser", "--allow-root"]
So now I have to modify my dockerfile and include pip install jupyter in it.
Now I want to know if there is any way by which I can speed up the build process or straight up skip it and directly install Jupyter in the container.
A container is a running image. You can add anything to a container but these changes are not persistent. In this case you want to persist your correction so you have to rebuild the image; in other words you have to modify the image, not the container. This is how Docker works. Once you have a correct image you can create containers from it in any environment.
Note, however, that the Docker build cache will help you to speed up the build process: the lines of the Dockerfile that precede your correction will be executed quickly after the first build.