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Learn how to effectively use GitHub secrets in your Python script to protect sensitive information like tokens and credentials.
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How to Securely Include GitHub Secrets in Your Python Script

As developers, we often find ourselves needing to store sensitive information, such as API tokens, in our code. Sharing this information, especially in a public repository, can lead to significant security vulnerabilities. If you've ever accidentally pushed sensitive data to GitHub, you're not alone! Thankfully, GitHub provides a feature called GitHub Secrets to help manage this problem.

In this guide, we'll walk you through how to correctly include GitHub secrets in your Python scripts to prevent unwanted exposure of your sensitive tokens.

The Problem: Exposing Your Bot Token

Imagine you've created a Discord bot using discord.py or pycord and you want to move your project to GitHub for easier collaboration and version control. However, you accidentally push your bot token to the repository. Although you managed to get it reset by Discord, it's clear that you need a safer way to manage your secrets.

Understanding GitHub Secrets

GitHub Secrets enable you to store sensitive information securely within your GitHub repository. By using secrets, you ensure that sensitive credentials are not hardcoded into your source code, providing an extra layer of security.

The Solution: Accessing Secrets in Your Python Script

Let’s examine how you can utilize GitHub secrets in your workflow. Here's the basic structure of your project:

Your Python Script

You have a basic Python script (test.py) where you try to access the secret token:

[[See Video to Reveal this Text or Code Snippet]]

GitHub Actions Workflow

In your GitHub Actions workflow (workflow.yml), you attempt to pass this secret to your script:

[[See Video to Reveal this Text or Code Snippet]]

Identifying the Error

When you run this workflow, you may encounter the following error:

[[See Video to Reveal this Text or Code Snippet]]

This error occurs because your script is trying to access an environment variable that doesn't match the name provided in the workflow. In your workflow, you've assigned the secret to the variable TOKEN, but your Python code looks for SECRET.

Fixing the Issue

You have two options to resolve this:

Change the Environment Variable Name: Update your GitHub Actions workflow to pass the secret variable as SECRET, like this:

[[See Video to Reveal this Text or Code Snippet]]

Update Your Python Code: Alternatively, change your Python code to look for TOKEN instead of SECRET:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

Using GitHub Secrets is crucial for maintaining the security of your applications. By ensuring that sensitive data is never hardcoded into your source code, you protect yourself from potential breaches.

Final Thoughts

Remember to always double-check the names of your environment variables in your scripts and your workflow files. With the correct setup, your secrets will remain secure, allowing you to focus on building great applications without worry.

Next Steps

Review your project's sensitive data management practices.

Set up additional GitHub Secrets for other sensitive information.

Explore more about GitHub Actions to automate your workflows further.

By implementing these practices, you’ll not only keep your tokens safe but also improve your overall coding habits.

If you found this guide helpful, feel free to share it with other developers who might be struggling with the same issue!