I'm using the Visual Studio Code Remote - Containers extension with a customized DockerFile. It is based on https://github.com/microsoft/vscode-dev-containers/blob/master/containers/python-3/.devcontainer/Dockerfile but uses a different base image and doesn't try to pip install from requirements.txt.
When I build the container in vscode, with PostCreateCommand set to "python --version", the following errors appears in the dev containers terminal output:
Run: docker exec -w /workspaces/media-classifier dd5e552b4f113ecf74504cc6d3aed3ca1727b4a172645515392c4632b7c45b81 /bin/sh -c python --version
/bin/sh: 1: python: not found
postCreateCommand "python --version" failed.
I've tried using the same setting value for PostCreateCommand (python --version) using both the standard python3 container and the python3 anaconda container and they both successfully output the python version.
I've also tried setting PostCreateCommand to the following values, which all produce the same 'not found' error:
pip --version conda --version
When the container has started, I'm successfully able to use python, pip and conda so they are definitely installed.
Dockerfile
FROM microsoft/cntk:2.6-cpu-python3.5
# Configure apt and install packages
RUN apt-get update \
&& apt-get -y install --no-install-recommends apt-utils 2>&1 \
#
# Verify git, process tools, lsb-release (common in install instructions for CLIs) installed
&& apt-get -y install git procps lsb-release \
# Clean up
&& apt-get autoremove -y \
&& apt-get clean -y \
&& rm -rf /var/lib/apt/lists/*
devcontainer.json
{
"name": "CNTK Python3.5",
"context": "..",
"dockerFile": "Dockerfile",
// Uncomment the next line if you want to publish any ports.
// "appPort": [],
// Uncomment the next line to run commands after the container is created.
"postCreateCommand": "python --version",
"extensions": [
"ms-python.python",
"neuron.neuron-ipe"
],
"settings": {
"python.pythonPath": "/opt/conda/bin/python",
"python.linting.pylintEnabled": true,
"python.linting.enabled": true
}
}
I'm expecting PostCreateCommand to execute successfully and output the python version installed in whichever anaconda environment is active at the time.
