[0.11.4] - 2020-01-32

Fixed

• Fixed Issue #040
• Fixed badly-formatted dates in the changelog

Added

• Added ability for pySHACL to track and monitor its evaluation path during validation
  • This allows for the validator to detect two different scenarios:
    • A recursive shape has triggered an infinitely-recursive validation, back out
    • Evaluation Path too deep (error generated, prevents python recursion depth errors)
• Added a test for Issue #40

v0.11.3 postrelease bugfix

Fixed

• Fixed Issue #036

Added

• Added test for #036

Changed

• Nodes defined as TargetNode by a SHACL Shape no longer is required to be present in the DataGraph.

Incremental fixes

Fixed

• Fixed Issue #032
• Stringification of Focus Node, and Value Node in the results text string now works correctly
  • This is an old bug, that has been around since the first versions of pySHACL
  • Manifests when the DataGraph is a different graph than the ShapesGraph
  • Recent change from using Graphs by default to using Datasets by default helped to expose this bug
  • Thanks to @jameshowison for reporting the bug

Changed

• Stringification of a blank node now operates on a rdflib.Graph only, rather than a Dataset.
  • Added mechanism to extract the correct named graph from a dataset when stringifying a blank node.
• Added a workaround for a json-ld loader bug where the namespace_manager for named graphs within a conjunctive graph
  is set to the parent conjunctive graph.
  • This necessary workaround was exposed only after changing the blank node stringification above.
    (Fixing one bug exposed another bug!)

Announcement

• This is the final version with Python v3.5 support
  • Versions 0.12.0 and above will have newer package management and dependency management, and will
    require Python v3.6+.

OWL-RL update

Changed

• Bumped min OWL-RL version to 5.2.1 to bring in some new bugfixes
• Corrected some tiny typos in readme

We're nearly there

• This is a big release, building up to the major 1.0 release.
• Expect some issues, there will be 0.9.9.postX releases with just bug fixes between now and 1.0

Added

• Major new feature. Added the ability to pass in an extra ontology document which gets parsed and mixed with the data graph before pre-inferencing. This helps in the cases where the target data graph contains a data snippet which can only be fully expanded with the help of an external ontology document containing RDFS and OWL axioms.
  • Use ont_graph=path_to_graph in the python module or
  • Use -e or --ont-graph on the command line utility to take advantage of this feature.
• SHACL graph or ONT graph can now be a Web URL, rather than a file path.
  • This works from the module validator entrypoint or the commandline tool.
• Added built in tests for issue#14 and for the commandline tool.
• Added new details to the README about the above new features.
• Added coverage statistics to the README.
• Started adding some hopefully-informative debugging output messages when debug mode is turned on. More to come.

Changed

• Pre-inferencing can now only ever be run once per Validator instance, this is an attempt to prevent running
  pre-inferencing multiple times unnecessarily.
• Internal shapes lookup cache is now stored in the ShapesGraph instance, rather than in a global static class
  variable on the Shape class
• Fixed some bugs in the examples code, thanks @johannesloetzsch!
• Lots of code coverage specific changes, and comments where we can improve coverage.