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feat(processing): add unblob dedicated temporary directory handling #1222
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This is problematic for programs using unblob as library, as these variables remain set in the hosting process's environment. We should set and reset them in a tighter scope.
For example,
Processor.process_task
looks like a fine candidate, as it by default will spawn child processes, not poisoning the caller's environment at all (given they useprocess_num > 1
).Another possibility is doing this at
process_file
level, but it still affects the hosting process unfortunately, but at least we can restore the variables upon returning from the function.There was a problem hiding this comment.
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Done. Also implemented tests in
test_necessary_resources_can_be_created_in_sandbox
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I do not see the original comment being resolved in the code - below I can find the env variables being set, but not restored, and here
atexit.register
still being used.Have you pushed your changes?
I am also not sure how it would landlock to a
/tmp/call-specific-tempdir
if used as a library on the second call with anotherExtractionConfig
.One solution I can think of is
process_file
forking in case of landlock, setting the environment variables in the fork, and cleaning up the temporary directory when the fork exits. Since the environment variables would be set in the child, they need no restoring.(actually multiprocessing should be used somehow, as https://docs.python.org/3/library/os.html#os.fork has many problems and known not to work on macos)