Скачать или смотреть Resolving Google Drive Upload Issues with Pygsheets and Service Accounts

Learn how to fix the `403 Error` when uploading files to Google Drive using `Pygsheets` and a service account. Style your uploads for success!
---
This video is based on the question https://stackoverflow.com/q/71209179/ asked by the user 'Morello' ( https://stackoverflow.com/u/12595421/ ) and on the answer https://stackoverflow.com/a/71328630/ provided by the user 'Morello' ( https://stackoverflow.com/u/12595421/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Pygsheets: cannot upload more than 200-ish files to Drive with Google Service Account. Get 403 Error

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Resolving Google Drive Upload Issues with Pygsheets and Service Accounts

If you’re using Pygsheets to manage Google Spreadsheets and Drive work from Python and finding yourself stuck hitting a wall with a 403 error after uploading more than 200 files, you’re not alone. This frustrating issue can prevent you from efficiently handling large uploads to your company Drive. Understanding why this error occurs and how to fix it can help you avoid these obstacles in your workflow.

The Problem: 403 Error with Google Drive Uploads

When attempting to upload more than about 200 files using a Google Service Account within the Pygsheets library, you encounter the following error message:

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

This indicates that the daily limits for unauthenticated use have been exceeded. Despite taking measures like waiting 10 seconds between requests, the limits can still become a bottleneck.

Potential Causes

1. File Name Issues

One common cause for upload failures is problematic characters in file names. For example, it's been noted that if a file name contains the apostrophe (') character, it may cause your script to fail unexpectedly. Handling these characters properly is essential to success.

2. Service Account Limitations

Even though service accounts can often access and upload files efficiently, they do have certain quota restrictions. Be sure to check if your account might be exceeding these limits.

The Solution: A Step-by-Step Guide

Step 1: Identify File Name Issues

If your script fails at a specific file:

Check the name for any unusual characters, especially characters such as ' or other symbols.

Implement a quick fix by using Regular Expressions (RegEx) to sanitize file names before uploading. For example:

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

Step 2: Adjust Your Upload Logic

Ensure that your upload function is organized in a way that can handle retries or skip problematic files gracefully. For example:

Wrap the upload call in a try-except block.

Log the files that fail for further investigation.

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

Step 3: Monitor Quotas in Cloud Console

Conduct regular checks in the Google Cloud Console to monitor usage of quotas related to your service account. If frequently reaching limits:

Analyze the upload methods you're using.

Consider batching your uploads to reduce the number of requests sent.

Step 4: Test with Client Secret

If you continue experiencing issues, try using an OAuth client secret instead of a service account. This can sometimes bypass certain restrictions tied specifically to service accounts.

Conclusion

By handling file name issues and optimizing your upload strategies, you can mitigate the frustrations associated with Pygsheets and Google Drive uploads. Remember to monitor your quota usage to ensure smooth operations when dealing with larger file sets.

Next time you encounter a 403 Error during uploads, apply these solutions and streamline your Google Drive operations effortlessly.