⚡ Bolt: Optimize file loading with streaming I/O#24
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Replaces high-memory file reading in `app.py` with `io.TextIOWrapper` streaming. This avoids loading the entire file content into memory as bytes and decoding it to a huge string, reducing peak memory usage for large MGF and mzTab files. - Wraps `streamlit.UploadedFile` (BytesIO) with `io.TextIOWrapper`. - Adds regression test `tests/test_streaming_io.py`. - Updates `.jules/bolt.md` with performance learning. Co-authored-by: erayfirat <59361860+erayfirat@users.noreply.github.com>
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This PR optimizes the file loading process in the Streamlit app.
Previously, uploaded files were fully read into memory and decoded into a string before being passed to
StringIO.This doubled the memory requirement for the file content.
The new implementation uses
io.TextIOWrapperto stream the decoding directly from the binary buffer, significantly reducing memory overhead for large files.Verified with new regression tests ensuring
pyteomicsparsers handle the wrapper correctly.PR created automatically by Jules for task 14364393844080854706 started by @erayfirat