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Intermediate Research Software Development: Common Issues, Fixes & Tips

Here is a list of issues previous participants of the course encountered and some tips to help you with troubleshooting.

Command Line/Git Bash Issues

Python Hangs in Git Bash

Hanging issues with trying to run Python 3 in Git Bash on Windows (i.e. typing python in the shell, which causes it to just hang with no error message or output). The solution appears to be to use winpty - a Windows software package providing an interface similar to a Unix pty-master for communicating with Windows command line tools. Inside the shell type alias python='winpty python.exe'. This alias will be valid for the duration of the shell session. For a more permanent solution, from the shell do: echo "alias python='winpty python.exe'" >> ~/.bashrc (and from there on remember to invoke Python as python or whatever command you aliased it to). Read more details on the issue at Stack Overflow or Superuser.

Customising Command Line Prompt

Minor annoyance with the ultra long prompt command line sometimes gives you - if you do not want a reminder of the current working directory, you can just set it to $ by typing the following in your command line: export PS1="$ ". More details on command line prompt customisation can be found in this guide.

Git/GitHub Issues

Creating a GitHub Key Without ‘Workflow’ Authorisation Scope

If learner creates a GitHub authentication token but forgets to check ‘workflow’ scope (to allow the token to be used to update GitHub Action workflows) they will get the following error when trying to push a new workflow (when adding the pytest action in Section 2) to GitHub:

! [remote rejected] test-suite -> test-suite (refusing to allow an OAuth App to create or update workflow `.github/workflows/main.yml` without `workflow` scope`

The solution is to generate a new token with the correct scope/usage permissions and clear the local credential cache (if that’s where the token has been saved). In same cases, simply clearing credential cache was not enough and updating to Git 2.29 was needed.

Python, pip, venv & Installing Packages Issues

Issues with Numpy (and Potentially Other Packages) on New M1 Macs

When using numpy installed via pip on a command line on a new Apple M1 Mac, you get a failed installation with the error:

… mach-o file, but is an incompatible architecture (have ‘x86_64’, need ‘arm64e’). …

Numpy is a package heavily optimised for performance, and many parts of it are written in C and compiled for specific architectures, such as Intel (x86_64, x86_32, etc.) or Apple’s M1 (arm64e). In this instance, pip is obtaining a version of numpy with the incorrect compiled binaries, instead of the ones needed for Apple’s M1 Mac. One way that was found to work was to install numpy via PyCharm into your environment instead, which seems able to determine the correct packages to download and install.

Python installed from the AZ Artifact Store

Python installed from the AZ Artifact Store may not be accessible as python3 from the command line, but worked fine when invoked python.

Installing Packages With pip Issue - Proxy Needed

If you encounter issues when trying to install packages with pip, AstraZeneca users may need to use the proxy. This will probably be the case if you are either in the office, or using the Global VPN. If you are working from home you may need to unset the proxy. In order to get pip to use the proxy, you need to add an additional parameter when installing packages with pip:

pip3 install --proxy <AZ-proxy-url> <name of package>

To keep these settings permanently, you may want to add the following to your .zshrc/.bashrc file to avoid having to specify the proxy for each session, and restart your command line terminal:

# call set_proxies to set proxies and unset_proxies to remove them
set_proxies() {
export {http,https,ftp}_proxy='<AZ-proxy-url>'
export {HTTP,HTTPS,FTP}_PROXY='<AZ-proxy-url>'
export NO_PROXY=localhost,,,,,,.<AZ-proxy-url>, <AZ-proxy-url>

unset_proxies() {
export {http,https,ftp}_proxy=
export NO_PROXY=

Installing Packages With pip - AZ Artifact Store vs. PyPI

AZ Artifact Store is only used for internal AZ PyPi packages and none of the packages used in the course are that so no need to use the AZ Artifact Store for the course at all.

PyCharm Issues

Using GitBash from PyCharm

To embed Git Bash in PyCharm as external tool and work with it in PyCharm window, from Settings select “Tools->Terminal->Shell path” and enter “C:\Program Files\Git\bin\sh.exe” --login. See more details on Stack Overflow.

Virtual Environments Issue "no such option: –build-dir"

Using PyCharm to add a package to a virtual environment created from the command line using venv can fail with error "no such option: –build-dir", which appears to be caused by the latest version of pip (20.3) where the flag -build-dir was removed but is required by PyCharm to install packages. A workaround is to:

See the issue for more details. This issue seems to only occur with older versions of PyCharm - recent versions should be fine.

Invalid YAML Issue

If YAML is copy+pasted from the course material, it might not get pasted correctly in PyCharm and some extra indentation may occur. Annoyingly, PyCharm won’t flag this up as invalid YAML and learners may get all sort of different issues and errors with these files - e.g. ‘actions must start with run or uses’ with GitHub Actions workflows.

An example of incorrect extra indentation:

    - name: foo
      uses: bar

Instead of

  - name: foo
    uses: bar