Detect unknown licenses #1675 #2592
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Signed-off-by: akugarg <akanksha.garg2k@gmail.com>
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pombredanne
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Signed-off-by: akugarg <akanksha.garg2k@gmail.com>
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This should add some tests on licenses that ideally scancode would never add (some proprietary/sdk licenses), to check the accuracy of unknown license detection. Linking some of them here: |
Rather than using a function argument Signed-off-by: Philippe Ombredanne <pombredanne@nexb.com>
Signed-off-by: Philippe Ombredanne <pombredanne@nexb.com>
Signed-off-by: Philippe Ombredanne <pombredanne@nexb.com>
Signed-off-by: Philippe Ombredanne <pombredanne@nexb.com>
This is a batch of misc. license detection rules and a new license. These have been mostly found thanks to the upcoming unknown license detection. Signed-off-by: Philippe Ombredanne <pombredanne@nexb.com>
This makes it available in the CLI Signed-off-by: Philippe Ombredanne <pombredanne@nexb.com>
Signed-off-by: Philippe Ombredanne <pombredanne@nexb.com>
This is cleaner and more composable than old-style interpolation Signed-off-by: Philippe Ombredanne <pombredanne@nexb.com>
Add split_weak_matches() function to pre-filter weak unknown matches. Make unknown matches eligible for filter_spurious_matches() and lower minimum density to 0.6=5 for longer matches. Move the call for filter_spurious_matches() earlier in the refine pipeline. Add new filter_invalid_contained_unknown_matches() function to discard unknown matches found inside the matched queryregion of larger regular matches Extract get_full_qspan_matched_text() function from get_full_matched_text() for improve reusability. This is designed to be called when crafting new rules absed on a match (which is what is done with unknown matches). Use format for matched license text highlight This is cleaner and more composable than old-style interpolation. Improve debug tracing of matched texts. Apply other minor refactoring and doc impropvements Signed-off-by: Philippe Ombredanne <pombredanne@nexb.com>
Create unique rule id based on a checksum of the rule content
Also improve key phrases parsing for dnagling {{ {{ braces.
Signed-off-by: Philippe Ombredanne <pombredanne@nexb.com>
Create proper synthethic Rule and LicenseMatch on match and return a match or None. Include unknown licenses matching as an option to Index.match Add tests Use shorter ngrams of length 6 rather than 7 for better sensitivity This is balanced by the addition of filters: - Filter weak unknown matches at match time - Filter out several weak unknown ngrams at index time Signed-off-by: Philippe Ombredanne <pombredanne@nexb.com>
Signed-off-by: Philippe Ombredanne <pombredanne@nexb.com>
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@akugarg @AyanSinhaMahapatra your review is welcomed! |
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Note that you can ignore most of the rules additions, they should have been in another PR, but I could not resist adding them... I forced an unknown licenses detection on our whole test suite and this helped spots several issues that I fixed on the fly. :P |
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Note that this is NOT YET returned in the API and outputs Signed-off-by: Philippe Ombredanne <pombredanne@nexb.com>
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I am merging now. Your feedback is still mucho welcomed on the refinements, |
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Signed-off-by: akugarg akanksha.garg2k@gmail.com
This PR introduces a new and effective way for detection of unknown licenses by making use of n-grams.
Refer #1675 for more details.
Tasks
Run tests locally to check for errors.