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author | David Robillard <d@drobilla.net> | 2020-04-26 15:19:56 +0200 |
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committer | David Robillard <d@drobilla.net> | 2020-04-26 15:19:56 +0200 |
commit | 3f6602ff5569b8c7ff8521c34992d99030a1bb8d (patch) | |
tree | 3761c0d524347b8f95bc75ae824234e9dde6871d | |
parent | bd6a2fd6a7cca2655df9e3ade341ae5fc4e11805 (diff) | |
download | lv2-3f6602ff5569b8c7ff8521c34992d99030a1bb8d.tar.xz |
Add tests for specification manifests
-rw-r--r-- | wscript | 27 |
1 files changed, 27 insertions, 0 deletions
@@ -471,6 +471,10 @@ def test_vocabularies(check, specs, files): rdf = rdflib.Namespace('http://www.w3.org/1999/02/22-rdf-syntax-ns#') rdfs = rdflib.Namespace('http://www.w3.org/2000/01/rdf-schema#') + # Check if this is a stable LV2 release to enable additional tests + version_tuple = tuple(map(int, VERSION.split("."))) + is_stable = version_tuple[1] % 2 == 0 and version_tuple[2] % 2 == 0 + # Check that extended documentation is not in main specification file for spec in specs: path = str(spec.abspath()) @@ -490,6 +494,29 @@ def test_vocabularies(check, specs, files): check(lambda: not has_statement(None, lv2.documentation, None), name = name + ".ttl does not contain lv2:documentation") + # Check specification manifests + for spec in specs: + path = str(spec.abspath()) + manifest_path = os.path.join(path, 'manifest.ttl') + manifest_model = rdflib.ConjunctiveGraph() + manifest_model.parse(manifest_path, format='n3') + + uri = manifest_model.value(None, rdf.type, lv2.Specification) + minor = manifest_model.value(uri, lv2.minorVersion, None) + micro = manifest_model.value(uri, lv2.microVersion, None) + check(lambda: uri is not None, + name = manifest_path + " has a lv2:Specification") + check(lambda: minor is not None, + name = manifest_path + " has a lv2:minorVersion") + check(lambda: micro is not None, + name = manifest_path + " has a lv2:microVersion") + + if is_stable: + check(lambda: int(minor) > 0, + name = manifest_path + " has even non-zero minor version") + check(lambda: int(micro) % 2 == 0, + name = manifest_path + " has even micro version") + # Load everything into one big model model = rdflib.ConjunctiveGraph() for f in files: |