create_interpreter.sh

+#!/bin/bash
+
+SOURCE_PATH="${BASH_SOURCE[0]:-${(%):-%x}}"
+
+RELATIVE_PATH="$(dirname "$SOURCE_PATH")"
+ABSOLUTE_PATH="$(realpath "${RELATIVE_PATH}")"
+source "${ABSOLUTE_PATH}"/config.sh
+
+echo the name is "$ENV_NAME"
+
+echo "Setting up the python interpreter script in the following dir: " "~/.local/share/python/interpreter/${ENV_NAME}"
+
+mkdir -p ~/.local/share/python/interpreter/"${ENV_NAME}"
+
+echo '
+#!/bin/bash
+source "'"${ABSOLUTE_PATH}"'"/activate.sh  2> /dev/null > /dev/null
+python "$@"
+' > ~/.local/share/python/interpreter/"${ENV_NAME}"/python
+
+chmod a+x ~/.local/share/python/interpreter/"${ENV_NAME}"/python

readme.md

@@ -43,6 +43,8 @@ source <path_to_venv>/activate.sh
 The script `create_kernel.sh` will create a kernel json file in the user's home directory that can be found
 by Jupyter and a helper script in the virtual environment folder.
 
+The script `create_interpreter.sh` creates a python interpreter wrapper script in the user's home directory (`~/.local/share/python/interpreter/<venv_name>/python`).
+You can set this newly created wrapper script as python interpreter in your favorite IDE for remote development and debugging. See further instructions [here](https://gitlab.jsc.fz-juelich.de/niesel1/howtos-ai/-/blob/main/RemoteDebuggingWithVSCode.ipynb).
 
 
 # Intended Workflow
@@ -52,3 +54,4 @@ by Jupyter and a helper script in the virtual environment folder.
 4. Edit `setup.sh` and `activate.sh` to add extra steps for custom modules.
 5. Create the environment with `bash setup.sh`.
 6. Create a kernel with `bash create_kernel.sh`.
+7. Create a python interpreter wrapper with `create_interpreter.sh`.