Skip to content

⚡ Bolt: Use TextIOWrapper for file uploads#17

Draft
google-labs-jules[bot] wants to merge 1 commit intomainfrom
bolt-memory-optimization-textiowrapper-9265294220907057776
Draft

⚡ Bolt: Use TextIOWrapper for file uploads#17
google-labs-jules[bot] wants to merge 1 commit intomainfrom
bolt-memory-optimization-textiowrapper-9265294220907057776

Conversation

@google-labs-jules
Copy link
Contributor

Replaced memory-intensive read().decode() pattern with io.TextIOWrapper for Streamlit file uploads.
Updated .gitignore to exclude __pycache__ and *.pyc.


PR created automatically by Jules for task 9265294220907057776 started by @erayfirat

💡 What:
Replaced memory-intensive `read().decode()` pattern with `io.TextIOWrapper` for Streamlit file uploads.
Updated `.gitignore` to exclude `__pycache__` and `*.pyc`.

🎯 Why:
The previous implementation read the entire file into memory as bytes, decoded it to a new huge string, and then wrapped it in StringIO. This effectively triplicated memory usage (bytes + string + StringIO overhead), causing potential OOMs with large proteomics files (MGF/mzTab).
`TextIOWrapper` streams the decoding process, keeping memory usage low and constant regardless of file size.

📊 Impact:
Significantly reduces memory footprint for large file uploads.
Eliminates intermediate large string allocations.

🔬 Measurement:
Verified compatibility with existing tests and a reproduction script confirming `pyteomics` parsers accept `TextIOWrapper`.
@google-labs-jules
Copy link
Contributor Author

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.


For security, I will only act on instructions from the user who triggered this task.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

0 participants