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fix: validate wheel files in a RAM friendly way #183

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fix: validate wheel files in a RAM friendly way #183

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ralbertazzi
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See python-poetry/poetry#7983

Content validation of a wheel record currently loads the entire file in memory with a self._zipfile.read(item). This is extremely inefficient from big wheels (the well known PyTorch has now >2 GB wheel files) and leads to an extremely high RAM consumption. This PR fixes this behaviour by reading the zip file content in a buffered way, as other parts of the codebase are already doing. Unfortunately this required a small change to some signatures.

f"In {self._zipfile.filename}, hash / size of {item.filename} didn't match RECORD"
)
with self._zipfile.open(item, "r") as stream:
if not record.validate(cast("BinaryIO", stream), item.file_size):
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(straying into changes beyond the scope of this MR: but so far as I can see this repository could use IO[bytes] everywhere it currently uses BinaryIO which would save some casting)

@pradyunsg
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I've filed #185 for this to have an issue associated with the PR; in case there's any high-level details to discuss. There likely aren't but it can't hurt to have an issue to close and drive not-PR-specific discussions into.

Other than that, I don't think making a backwards incompatible change is necessary here -- I've filed #186 that does not contain backwards incompatible API changes and instead adds a new method and deprecates the (problematic) RecordEntry.validate(data) method.

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3 participants