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Run Distributed Release Audit Tool (DRAT) on all codefest generated code and report out on license statistics #9
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The following codebases were analyzed using DRAT https://github.com/NSF-Polar-Cyberinfrastructure/datavis-hackathon.git Reports are available at the following ZIP https://www.dropbox.com/s/w5pn6fp8tms9m60/nsf_polar_hackathon.zip?dl=0 Advice on how to interpret the report can be found at https://github.com/chrismattmann/drat/wiki/Interacting-with-DRAT Notes Binaries Archives Standards Apache Generated Unknown |
Unapproved licenses
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@r4space @chrismattmann check this out |
@chrismattmann feel free to close off if you feel the task has been completed. The remainder of the work is to get ALv2.0 over everything else. |
Some more stats folks. Using cloc I managed to obtain the following which is rather nice
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Thanks @lewismc this is great! Let's leave this open as I want all sessions to remain showing on the website. Thank you this is perfect! |
DRAT (https://github.com/chrismattmann/drat/) is a release audit tool that takes Apache RAT and turns it into a Map Reduce style system for large and heterogeneous code bases where RAT falls flat on its face. RAT is unable to easily differentiate between different file MIME types and tries to do license analysis on e.g., binary files unless specified through complex white lists and black lists. DRAT on the other hand, improves upon RAT by taking Apache Tika, partitioning the code base by MIME type, constructing a Solr4 catalog of the code, and then farming out a large Map Reduce style job wherein which the Mapper is a N-sized (configurable, set initially to 100) set of files of the same MIME type, partitioned across machines using Apache OODT, and the reducer is the RAT log aggregator that combines each Mapped RAT job's intermediate RAT log output.
DRAT has been run on the DARPA XDATA code base (~50K thousand files, 10s of M of lines of code), and the Computational Infrastructure for Geodynamics (CIG) (~500K thousand files, 100s of M of lines of code) and scales well, is easy to use and the software can be run on a single machine with an existing OS or ran using Vagrant and vagrant up as a virtual machine.
This task will involve deploying DRAT, and then running it across the code bases to perform a license analysis and to report out on the results at the end of the hackathon. Patches and improvements to DRAT are welcomed as well.
Continuation of issue from Open Science Codefest: NCEAS/open-science-codefest#27
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