Troubleshoot

Sometimes Dfetch may not behave as expected. This could be because it relies on standard command-line tools such as git to be available on your system. This section will help you diagnose problems and understand what is happening behind the scenes.

Step 1: Check your environment

Before anything else, it’s helpful to see which tools Dfetch can detect on your system. This shows missing or incompatible dependencies. Run:

$ dfetch environment

Compare the output to the expected tools your commands require.

Step 2: Use verbose mode

If a specific Dfetch command gives unexpected results, run it with the -v flag to see exactly what Dfetch is doing:

$ dfetch -v import

Verbose output shows each command Dfetch executes and its result, making it easier to spot errors, missing tools, or other issues. There can be various issues with for instance contacting or authenticating with the remote repository or with local settings. By running the git or svn command in isolation the issue can be shown more clearly.

Step 3: Reporting issues

If you cannot resolve a problem, we’re happy to help! Check for any existing GitHub Issues. When reporting an issue, please include:

  1. The output of dfetch environment

  2. The verbose output of the failing command (dfetch -v <command>)

  3. Your operating system and shell information

You can report issues via:

Security issues

If you discover a security vulnerability in Dfetch, please let us know right away and don’t post a public issue. You can report issues by opening a confidential issue via GitHub Security Advisories. See GitHub’s private vulnerability reporting for more info. If you have no contact please contact us through the mail listed in the pyproject.toml.