⚡ Bolt: Fix O(N) memory leak in NZB parsing#14
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Modified `parse_nzb_message_ids` in `verify_nzb.py` to ensure `elem.clear()` is called for all elements during `ET.iterparse`, not just `<segment>` elements. This prevents the entire XML DOM tree from accumulating in memory for large NZB files. Co-authored-by: xbmc4lyfe <273732874+xbmc4lyfe@users.noreply.github.com>
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📝 WalkthroughSummary by CodeRabbit
WalkthroughThe PR refactors ChangesNZB XML Parsing Loop Refactor
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~3 minutes Poem
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💡 What:
Modified
parse_nzb_message_idsinverify_nzb.pyto ensureelem.clear()is called unconditionally for all elements duringET.iterparse, instead of skipping it usingcontinuefor non-segment elements.🎯 Why:
Python's
xml.etree.ElementTree.iterparsebuilds the entire XML tree in memory by default. When parsing large XML files (like massive NZB files), failing to callelem.clear()on every element causes an O(N) memory leak, which can lead to excessive memory usage and potential Out-Of-Memory (OOM) errors.📊 Impact:
Changes memory usage of
parse_nzb_message_idsfrom O(N) (proportional to file size) to O(1) (constant footprint, only tracking current depth). In testing with a dummy NZB file containing 100,000 segments, peak memory usage dropped from ~126.8 MB to ~14.8 MB (~88% reduction).🔬 Measurement:
Run
python3 -m unittest discover teststo confirm parsing still works correctly without regressions. Observe memory usage withtracemallocwhen parsing extremely large NZB files.PR created automatically by Jules for task 3747044600554132148 started by @xbmc4lyfe