The Complete Guide to Visualizing and Analyzing Git Commit Statistics with Assayo

Nov 7, 2020 | Data Science

Welcome to the world of git commit visualization! Whether you’re a team lead, an IT auditor, or a curious developer, understanding the patterns in your git data can be immensely beneficial. In this guide, we will show you how to harness the power of Assayo to visualize and analyze your git commit statistics.

Table of Contents

How to Quickly View the Number of Commits?

To quickly check the number of commits in your repository, navigate to the root directory of your project and run the following command:

git shortlog -s -n -e

How to Create a Local Report Using Libraries?

Creating a local report can be done using various libraries depending on your programming preference:

  • NodeJS: Run the command npx assayo in your terminal.
  • PHP: Use the command composer require bakhirevassayo and after, run vendor/bin/assayo.
  • Python: Install Assayo using pipx install assayo.

These commands will generate a report that contains essential statistics about your repository in the .assayo folder.

How to Concatenate Authors?

To merge different email addresses of the same author, you’ll need to create a .mailmap file in the root directory. Here’s a quick example:

Alex B alex@mail.uk
Alex B alex@mail.uk alex@gov.tk
Alex B alex@mail.uk bakhirev@ya.kz

For more details about formatting the file, visit Git Mailmap Documentation.

How to Export Data from Git?

To export your git data, run the following command in your project’s root directory:

git --no-pager log --raw --numstat --oneline --all --reverse --date=iso-strict --pretty=format:%ad%aN%aE%s log.txt

This will create a log.txt file containing your repository’s commit history, which is useful for building reports.

Troubleshooting

While using Assayo, you might encounter some hiccups along the way. Here are some common issues and their solutions:

  • If you’re using PowerShell on Windows and find that your output encoding isn’t correct, change it by executing:
  • [Console]::OutputEncoding = [System.Text.Encoding]::UTF8
  • Ensure your Docker container running Assayo is accessible. If you can’t connect, verify that port 80 is free and not being used by another service.
  • Should you face issues with displaying reports, confirm that the data in your log files is correctly formatted and not corrupt.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Conclusion

Visualizing and analyzing git commit statistics can unveil critical insights into your projects and team dynamics. With Assayo, you can effortlessly manage your git data and visualize it in a user-friendly manner. Try out the commands and explore the power of your git history!

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