def get_provdoc(format,infile):
if format == "json":
return ProvDocument.deserialize(infile)
elif format == "xml":
return ProvDocument.deserialize(infile,format='xml')
else:
print "Error: unsupported format (xml and json are supported"
def provRead(source, format=None):
from prov.model import ProvDocument
from prov.serializers import Registry
Registry.load_serializers()
serializers = Registry.serializers.keys()
if format:
try:
ret = ProvDocument.deserialize(source=source,
format=format.lower())
return ret
except Exception as e:
log.error(e)
raise TypeError(e)
for format in serializers:
source.seek(0)
try:
return ProvDocument.deserialize(source=source, format=format)
except:
pass
else:
raise TypeError("Could not read from the source. To get a proper "
"error message, specify the format with the 'format' "
"parameter.")
def read(source, format=None):
"""
Convenience function returning a ProvDocument instance.
It does a lazy format detection by simply using try/except for all known
formats. The deserializers should fail fairly early when data of the
wrong type is passed to them thus the try/except is likely cheap. One
could of course also do some more advanced format auto-detection but I am
not sure that is necessary.
The downside is that no proper error messages will be produced, use the
format parameter to get the actual traceback.
"""
# Lazy imports to not globber the namespace.
from prov.model import ProvDocument
from prov.serializers import Registry
Registry.load_serializers()
serializers = Registry.serializers.keys()
if format:
return ProvDocument.deserialize(source=source, format=format.lower())
for format in serializers:
try:
return ProvDocument.deserialize(source=source, format=format)
except:
pass
else:
raise TypeError("Could not read from the source. To get a proper "
"error message, specify the format with the 'format' "
"parameter.")
def get_provdoc(format, infile):
if format == "json":
return ProvDocument.deserialize(infile)
elif format == "xml":
return ProvDocument.deserialize(infile, format='xml')
else:
print "Error: unsupported format (xml and json are supported"
def test_loading_all_json(self):
# self.assertFalse(fails, 'Failed to load/round-trip %d JSON files (%s)' % (len(fails), ', '.join(fails)))
# Code for debugging the failed tests
for filename in self.fails:
# Reload the failed files
filepath = self.json_path + filename
# os.rename(json_path + filename, json_path + filename + '-fail')
with open(filepath) as json_file:
logger.info("Loading %s...", filepath)
g1 = ProvDocument.deserialize(json_file)
json_str = g1.serialize(indent=4)
g2 = ProvDocument.deserialize(content=json_str)
self.assertEqual(g1, g2, 'Round-trip JSON encoding/decoding failed: %s.' % filename)
def setUp(self):
self.json_path = os.path.dirname(os.path.abspath(__file__)) + '/json/'
filenames = os.listdir(self.json_path)
self.fails = []
for filename in filenames:
if filename.endswith('.json'):
with open(self.json_path + filename) as json_file:
try:
g1 = ProvDocument.deserialize(json_file)
json_str = g1.serialize(indent=4)
g2 = ProvDocument.deserialize(content=json_str)
self.assertEqual(g1, g2, 'Round-trip JSON encoding/decoding failed: %s.' % filename)
except:
self.fails.append(filename)
def testLoadAllJSON(self):
# self.assertFalse(fails, 'Failed to load/round-trip %d JSON files (%s)' % (len(fails), ', '.join(fails)))
logging.basicConfig(level=logging.DEBUG)
# Code for debugging the failed tests
for filename in self.fails:
# Reload the failed files
filepath = self.json_path + filename
# os.rename(json_path + filename, json_path + filename + '-fail')
with open(filepath) as json_file:
logger.info("Loading %s...", filepath)
g1 = ProvDocument.deserialize(json_file)
json_str = g1.serialize(indent=4)
g2 = ProvDocument.deserialize(content=json_str)
self.assertEqual(g1, g2, 'Round-trip JSON encoding/decoding failed: %s.' % filename)
def main(auth_json_path, full_provenance=False):
with open(auth_json_path, 'r') as f:
auth_json = json.load(f)
api_token = auth_json['services']['cityofbostondataportal']['token']
username = '******'#auth_json['services']['cityofbostondataportal']['username']
mongo_pass = '******' #auth_json['services']['cityofbostondataportal']['username']
database_helper = database_helpers.DatabaseHelper(username=username, password=mongo_pass)
bdp_api = bdp_query.BDPQuery(api_token=api_token)
if full_provenance:
with open(plan_json, 'w') as f:
f.write(json.dumps({}))
setup_crime_incidents(database_helper, bdp_api, full_provenance=full_provenance)
setup_property_assessment(database_helper, bdp_api, full_provenance=full_provenance)
setup_boston_public_schools(database_helper, bdp_api, full_provenance=full_provenance)
setup_hospital_locations(database_helper, bdp_api, full_provenance=full_provenance)
setup_crime_centroids(database_helper, full_provenance=full_provenance)
setup_hospital_distances(database_helper, full_provenance=full_provenance)
setup_crime_knn(database_helper, full_provenance=full_provenance)
setup_home_value_model(database_helper, full_provenance=full_provenance)
setup_hospital_scatter(database_helper, full_provenance=full_provenance)
setup_school_distances(database_helper, full_provenance=full_provenance)
setup_school_scatter(database_helper, full_provenance=full_provenance)
if full_provenance:
with open(plan_json, 'r') as f:
prov_doc = ProvDocument.deserialize(f)
dot = prov_to_dot(prov_doc)
dot.write_svg(prov_svg)
def extract_pg_data(filepath: Path):
prov_doc = ProvDocument.deserialize(filepath)
n_balls_collected = 0
pokemons_strength = dict()
pokemons_captured = []
pokemons_disposed = []
strength_captured_avg = -1
strength_disposed_avg = -1
for record in prov_doc.get_records(ProvElement):
if isinstance(record, ProvEntity):
ent_id = str(record.identifier)
if "pokemons" in ent_id:
strength_values = record.get_attribute(PGO_strength) # type: set
strength = (
next(iter(strength_values)) if strength_values else 0
) # type: int
pokemon_id = ent_id[:-2]
if ent_id.endswith(".0"):
pokemons_captured.append(pokemon_id)
if strength and (pokemon_id not in pokemons_strength):
pokemons_strength[pokemon_id] = strength
elif isinstance(record, ProvActivity):
act_id = str(record.identifier)
if "collectballs" in act_id:
n_balls_collected += 1
for record in prov_doc.get_records(ProvInvalidation):
ent_id = str(record.args[0])
pokemon_id = ent_id[:-2]
pokemons_disposed.append(pokemon_id)
n_pokemons_captured = len(pokemons_captured)
n_pokemons_disposed = len(pokemons_disposed)
if pokemons_captured:
strength_captured_avg = np.mean(
[
pokemons_strength[pokemon_id]
for pokemon_id in pokemons_captured
if pokemon_id in pokemons_strength
]
)
if pokemons_disposed:
strength_disposed_avg = np.mean(
[
pokemons_strength[pokemon_id]
for pokemon_id in pokemons_disposed
if pokemon_id in pokemons_strength
]
)
return (
n_balls_collected,
n_pokemons_captured,
n_pokemons_disposed,
strength_captured_avg,
strength_disposed_avg,
)
def primer():
a = ProvDocument()
script_path = os.path.dirname(os.path.abspath( __file__ )) #
with open(str(script_path) + "/output.json") as json_file:
line = json_file.readline()
a = a.deserialize(content=line)
return a
def main(auth_json_path, full_provenance=False):
with open(auth_json_path, 'r') as f:
auth_json = json.load(f)
api_token = auth_json['services']['cityofbostondataportal']['token']
username = auth_json['services']['cityofbostondataportal']['username']
mongo_pass = auth_json['services']['cityofbostondataportal']['password']
database_helper = database_helpers.DatabaseHelper(username=username, password=mongo_pass)
bdp_api = bdp_query.BDPQuery(api_token=api_token)
if full_provenance:
with open(plan_json, 'w') as f:
f.write(json.dumps({}))
setup_crime_incidents(database_helper, bdp_api, full_provenance=full_provenance)
setup_property_assessment(database_helper, bdp_api, full_provenance=full_provenance)
setup_boston_public_schools(database_helper, bdp_api, full_provenance=full_provenance)
setup_hospital_locations(database_helper, bdp_api, full_provenance=full_provenance)
setup_crime_centroids(database_helper, full_provenance=full_provenance)
setup_hospital_distances(database_helper, full_provenance=full_provenance)
setup_crime_knn(database_helper, full_provenance=full_provenance)
setup_home_value_model(database_helper, full_provenance=full_provenance)
setup_hospital_scatter(database_helper, full_provenance=full_provenance)
setup_school_distances(database_helper, full_provenance=full_provenance)
setup_school_scatter(database_helper, full_provenance=full_provenance)
if full_provenance:
with open(plan_json, 'r') as f:
prov_doc = ProvDocument.deserialize(f)
dot = prov_to_dot(prov_doc)
dot.write_svg(prov_svg)
def primer():
a = ProvDocument()
script_path = os.path.dirname(os.path.abspath(__file__)) #
with open(str(script_path) + "/output.json") as json_file:
line = json_file.readline()
a = a.deserialize(content=line)
return a
def count_flatprovenancetypes_for_graphs(
dataset_path: Path,
graph_filenames: Collection[str],
level: int,
including_primitives_types: bool,
) -> Tuple[List[Dict[int, Dict[str, int]]], List[List[float]]]:
logger.debug(
"Calculating flat provenance types up to level %s (with application types: %s) for %d graphs...",
level,
including_primitives_types,
len(graph_filenames),
)
results = [] # type: List[Dict[int, Dict[str, int]]]
timings = [] # type: List[List[float]]
for graph_filename in graph_filenames:
filepath = dataset_path / graph_filename
prov_doc = ProvDocument.deserialize(filepath)
durations = [] # type: List[float]
features = dict() # type: Dict[int, Dict[str, int]]
for h in range(level + 1):
timer = Timer(verbose=False)
with timer:
fp_types = calculate_flat_provenance_types(
prov_doc, h, including_primitives_types
)
# counting only the last level
features[h] = count_fp_types(fp_types[h].values())
durations.append(timer.interval)
results.append(features)
timings.append(durations)
return results, timings
def __init__(self, database_helper, full_provenance=False):
"""
Initializes the provenance for the mjclawar_rarshad project
Parameters
----------
database_helper: DatabaseHelper
full_provenance: bool
Returns
-------
"""
assert isinstance(database_helper, DatabaseHelper)
self.database_helper = database_helper
if full_provenance:
self.prov_doc = ProvDocument.deserialize(dir_info.plan_json)
else:
self.prov_doc = ProvDocument()
self.prov_doc.add_namespace(mcras.BDP_NAMESPACE.name,
mcras.BDP_NAMESPACE.link)
self.prov_doc.add_namespace(mcras.ALG_NAMESPACE.name,
mcras.ALG_NAMESPACE.link)
self.prov_doc.add_namespace(mcras.DAT_NAMESPACE.name,
mcras.DAT_NAMESPACE.link)
self.prov_doc.add_namespace(mcras.LOG_NAMESPACE.name,
mcras.LOG_NAMESPACE.link)
self.prov_doc.add_namespace(mcras.ONT_NAMESPACE.name,
mcras.ONT_NAMESPACE.link)
def test_get_document_as_json(self):
example = examples.primer_example()
document_id = self.provapi.create_document_from_prov(example)
prov_str = self.provapi.get_document_as_json(document_id)
self.assertIsNotNone(prov_str)
self.assertIsInstance(prov_str, str)
prov_document_reverse = ProvDocument.deserialize(content=prov_str,
format="json")
self.assertEqual(prov_document_reverse, example)
def from_xml(xml_str=None):
"""
Try to convert a xml string into a ProvDocument
:param xml_str: The xml string
:type xml_str: str
:return: The Prov document
:rtype: ProvDocument
"""
if xml_str is None:
raise NoDocumentException()
return ProvDocument.deserialize(source=xml_str, format='xml')
def viz_turtle(source=None, content=None, img_file=None, **kwargs):
prov_doc = ProvDocument.deserialize(source=source,
content=content,
format='rdf',
rdf_format='turtle')
# TODO : show attributes has optional arg
dot = prov_to_dot(prov_doc,
use_labels=True,
show_element_attributes=False,
show_relation_attributes=False)
dot.write_png(img_file)
def form_string(content):
"""
Take a string or BufferedReader as argument and transform the string into a ProvDocument
:param content: Takes a sting or BufferedReader
:return:ProvDocument
"""
if isinstance(content, ProvDocument):
return content
elif isinstance(content, BufferedReader):
content = reduce(lambda total, a: total + a, content.readlines())
if type(content) is six.binary_type:
content_str = content[0:15].decode()
if content_str.find("{") > -1:
return ProvDocument.deserialize(content=content, format='json')
if content_str.find('<?xml') > -1:
return ProvDocument.deserialize(content=content, format='xml')
elif content_str.find('document') > -1:
return ProvDocument.deserialize(content=content, format='provn')
raise ParseException("Unsupported input type {}".format(type(content)))
def prov(self, format='json', filename=None):
if self.prov_url is None:
raise APIException('no provenance information found')
response = self.adama.utils.request(self.prov_url, format=format)
if format in ('json', 'sources'):
return response.json()
elif format == 'prov-n':
return response.text
elif format == 'prov':
return ProvDocument.deserialize(
content=json.dumps(response.json()))
elif format == 'png':
return png(response.content, filename)
def get_bundle(self, document_id, bundle_id, prov_format=ProvDocument):
if prov_format == ProvDocument:
extension = 'json'
else:
extension = prov_format
r = self._request('get', "/documents/%i/bundles/%i.%s" % (document_id, bundle_id, extension),
headers=self.headers)
if prov_format == ProvDocument:
return ProvDocument.deserialize(content=r.content)
else:
return r.content
def from_json(json=None):
"""
Try to convert a json string into a document
:param json: The json str
:type json: str
:return: Prov Document
:rtype: prov.model.ProvDocument
:raise: NoDocumentException
"""
if json is None:
raise NoDocumentException()
return ProvDocument.deserialize(source=json, format='json')
def from_provn(provn_str=None):
"""
Try to convert a provn string into a ProvDocument
:param provn_str: The string to convert
:type provn_str: str
:return: The Prov document
:rtype: ProvDocument
:raises: NoDocumentException
"""
if provn_str is None:
raise NoDocumentException()
return ProvDocument.deserialize(source=provn_str, format='provn')
def prov(self, format='json', filename=None):
if self.prov_url is None:
raise APIException('no provenance information found')
response = self.adama.utils.request(self.prov_url, format=format)
if format in ('json', 'sources'):
return response.json()
elif format == 'prov-n':
return response.text
elif format == 'prov':
return ProvDocument.deserialize(
content=json.dumps(response.json()))
elif format == 'png':
return png(response.content, filename)
def get_document_prov(self, document_id, prov_format=ProvDocument):
if prov_format == ProvDocument:
extension = 'json'
else:
extension = prov_format
r = self._request('get',
"/documents/%i.%s" % (document_id, extension),
headers=self.headers)
if prov_format == ProvDocument:
return ProvDocument.deserialize(content=r.content)
else:
return r.content
def testAllExamples(self):
num_graphs = len(examples.tests)
logger.info('PROV-JSON round-trip testing %d example provenance graphs', num_graphs)
counter = 0
for name, graph in examples.tests:
counter += 1
logger.info('%d. Testing the %s example', counter, name)
g1 = graph()
logger.debug('Original graph in PROV-N\n%s', g1.get_provn())
# json_str = g1.get_provjson(indent=4)
json_str = g1.serialize(indent=4)
logger.debug('Original graph in PROV-JSON\n%s', json_str)
g2 = ProvDocument.deserialize(content=json_str)
logger.debug('Graph decoded from PROV-JSON\n%s', g2.get_provn())
self.assertEqual(g1, g2, 'Round-trip JSON encoding/decoding failed: %s.' % name)
def test_get_document_as_json(self):
"""
try to get the document as json
:return:
"""
self.clear_database()
example = examples.primer_example()
document_id = self.provapi.save_document_from_prov(example)
prov_str = self.provapi.get_document_as_json(document_id)
self.assertIsNotNone(prov_str)
self.assertIsInstance(prov_str, str)
prov_document_reverse = ProvDocument.deserialize(content=prov_str,
format="json")
self.assertEqual(prov_document_reverse, example)
def build_grakel_graphs(graphs: pd.DataFrame, dataset_path: Path):
if "grakel_graphs" in graphs.columns:
# nothing to do
return graphs # unchanged
# expecting a "graphfile" column in the input DataFrame
grakel_graphs = []
for graph_filename in graphs.graph_file:
filepath = dataset_path / graph_filename
# load the file
prov_doc = ProvDocument.deserialize(filepath)
prov_graph = prov_to_graph(prov_doc) # type: nx.MultiDiGraph
grakel_graphs.append(graph_from_prov_networkx_graph(prov_graph))
graphs["grakel_graphs"] = grakel_graphs
return graphs
def get_document(self, doc_id, format=None, flattened=False, view=None):
"""Returns a ProvBundle object of the document with the ID provided or raises ApiNotFoundError"""
extension = format if format is not None else 'json'
view = "/views/%s" % view if view in ['data', 'process', 'responsibility'] else ""
url = "documents/%d%s%s.%s" % (doc_id, "/flattened" if flattened else "", view, extension)
response = self.request(url, raw=True)
if format is None:
# Try to decode it as a ProvDocument
result = ProvDocument.deserialize(content=response)
else:
# return the raw response
result = response
return result
def test_unifying(self):
# This is a very trivial test just to exercise the unified() function
# TODO: Create a proper unification test
json_path = os.path.dirname(os.path.abspath(__file__)) + '/unification/'
filenames = os.listdir(json_path)
for filename in filenames:
if not filename.endswith('.json'):
continue
filepath = json_path + filename
with open(filepath) as json_file:
logger.info('Testing unifying: %s', filename)
logger.debug("Loading %s...", filepath)
document = ProvDocument.deserialize(json_file)
flattened = document.flattened()
unified = flattened.unified()
self.assertLess(len(unified.get_records()), len(flattened.get_records()))
def test_decoding_unicode_value(self):
unicode_char = u'\u2019'
json_content = u'''{
"prefix": {
"ex": "http://www.example.org"
},
"entity": {
"ex:unicode_char": {
"prov:label": "%s"
}
}
}''' % unicode_char
prov_doc = ProvDocument.deserialize(content=json_content, format='json')
e1 = prov_doc.get_record('ex:unicode_char')[0]
self.assertIn(unicode_char, e1.get_attribute('prov:label'))
def test_decoding_unicode_value(self):
unicode_char = u'\u2019'
rdf_content = u'''
@prefix ex: <http://www.example.org/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xml: <http://www.w3.org/XML/1998/namespace> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
ex:unicode_char a prov:Entity ;
rdfs:label "%s"^^xsd:string .
''' % unicode_char
prov_doc = ProvDocument.deserialize(content=rdf_content,
format='rdf', rdf_format='turtle')
e1 = prov_doc.get_record('ex:unicode_char')[0]
self.assertIn(unicode_char, e1.get_attribute('prov:label'))
def assertRoundTripEquivalence(self, prov_doc, msg=None):
if self.FORMAT is None:
# This is a dummy test, just return
return
with io.BytesIO() as stream:
prov_doc.serialize(destination=stream, format=self.FORMAT, indent=4)
stream.seek(0, 0)
prov_doc_new = ProvDocument.deserialize(source=stream, format=self.FORMAT)
stream.seek(0, 0)
# Assume UTF-8 encoding which is forced by the particular
# PROV XML implementation and should also work for the PROV
# JSON implementation.
msg_extra = "'%s' serialization content:\n%s" % (self.FORMAT, stream.read().decode("utf-8"))
msg = "\n".join((msg, msg_extra)) if msg else msg_extra
self.assertEqual(prov_doc, prov_doc_new, msg)
def test_decoding_unicode_value(self):
unicode_char = u'\u2019'
json_content = u'''{
"prefix": {
"ex": "http://www.example.org"
},
"entity": {
"ex:unicode_char": {
"prov:label": "%s"
}
}
}''' % unicode_char
prov_doc = ProvDocument.deserialize(content=json_content,
format='json')
e1 = prov_doc.get_record('ex:unicode_char')[0]
self.assertIn(unicode_char, e1.get_attribute('prov:label'))
def test_decoding_unicode_value(self):
unicode_char = u'\u2019'
rdf_content = u'''
@prefix ex: <http://www.example.org/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xml: <http://www.w3.org/XML/1998/namespace> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
ex:unicode_char a prov:Entity ;
rdfs:label "%s"^^xsd:string .
''' % unicode_char
prov_doc = ProvDocument.deserialize(content=rdf_content,
format='rdf', rdf_format='turtle')
e1 = prov_doc.get_record('ex:unicode_char')[0]
self.assertIn(unicode_char, e1.get_attribute('prov:label'))
def assertRoundTripEquivalence(self, prov_doc, msg=None):
if self.FORMAT is None:
# This is a dummy test, just return
return
with io.BytesIO() as stream:
prov_doc.serialize(destination=stream, format=self.FORMAT, indent=4)
stream.seek(0, 0)
prov_doc_new = ProvDocument.deserialize(source=stream,
format=self.FORMAT)
stream.seek(0, 0)
# Assume UTF-8 encoding which is forced by the particular
# PROV XML implementation and should also work for the PROV
# JSON implementation.
msg_extra = u"'%s' serialization content:\n%s" % (
self.FORMAT, stream.read().decode("utf-8"))
msg = u'\n'.join((msg, msg_extra)) if msg else msg_extra
self.assertEqual(prov_doc, prov_doc_new, msg)
def test_decoding_unicode_value(self):
unicode_char = "\u2019"
json_content = (
"""{
"prefix": {
"ex": "http://www.example.org"
},
"entity": {
"ex:unicode_char": {
"prov:label": "%s"
}
}
}"""
% unicode_char
)
prov_doc = ProvDocument.deserialize(content=json_content, format="json")
e1 = prov_doc.get_record("ex:unicode_char")[0]
self.assertIn(unicode_char, e1.get_attribute("prov:label"))
def test_decoding_unicode_value(self):
unicode_char = "\u2019"
rdf_content = (
"""
@prefix ex: <http://www.example.org/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xml: <http://www.w3.org/XML/1998/namespace> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
ex:unicode_char a prov:Entity ;
rdfs:label "%s"^^xsd:string .
"""
% unicode_char
)
prov_doc = ProvDocument.deserialize(
content=rdf_content, format="rdf", rdf_format="turtle"
)
e1 = prov_doc.get_record("ex:unicode_char")[0]
self.assertIn(unicode_char, e1.get_attribute("prov:label"))
def count_flatprovenancetypes_for_graphs(
dataset_path: Path,
graph_filenames: Collection[str],
level: int,
including_primitives_types: bool,
counting_wdf_as_two: bool = False,
ignored_types: FrozenSet[str] = ϕ,
) -> Tuple[List[Dict[int, Dict[FlatProvenanceType, int]]], List[List[float]]]:
logger.debug(
"Producing linear provenance types up to level %s "
"(with application types: %s, counting derivations as 2-length edges: %s) "
"for %d graphs...",
level,
including_primitives_types,
counting_wdf_as_two,
len(graph_filenames),
)
results = [] # type: List[Dict[int, Dict[FlatProvenanceType, int]]]
timings = [] # type: List[List[float]]
for graph_filename in graph_filenames:
filepath = dataset_path / graph_filename
prov_doc = ProvDocument.deserialize(filepath)
durations = [] # type: List[float]
features = dict() # type: Dict[int, Dict[FlatProvenanceType, int]]
for h in range(level + 1):
timer = Timer(verbose=False)
with timer:
fp_types = calculate_flat_provenance_types(
prov_doc,
h,
including_primitives_types,
counting_wdf_as_two,
ignored_types=ignored_types,
)
# counting only the last level
features[h] = Counter(fp_types[h].values())
durations.append(timer.interval)
results.append(features)
timings.append(durations)
return results, timings
def calculate_provenance_features_for_file(filepath: Path) -> list:
# Calculate Provenance Network Metrics (22) and number of edge types
try:
# load the file
prov_doc = ProvDocument.deserialize(filepath)
except Exception as e:
logger.error("Cannot deserialize %s", filepath)
raise e
try:
timer = Timer(verbose=False)
with timer:
# counting the record types
rec_type_counts = count_record_types(prov_doc)
prov_rel_cols = [
rec_type_counts[rec_type] if rec_type in rec_type_counts else 0
for rec_type in PROV_RELATION_NAMES
]
mv5 = version5(prov_doc, flat=True) # calculate
return mv5[:-4] + prov_rel_cols + [timer.interval]
except Exception as e:
logger.error("Cannot calculate metrics for %s", filepath)
raise e
def __init__(self, database_helper, full_provenance=False):
"""
Initializes the provenance for the mjclawar_rarshad project
Parameters
----------
database_helper: DatabaseHelper
full_provenance: bool
Returns
-------
"""
assert isinstance(database_helper, DatabaseHelper)
self.database_helper = database_helper
if full_provenance:
self.prov_doc = ProvDocument.deserialize(dir_info.plan_json)
else:
self.prov_doc = ProvDocument()
self.prov_doc.add_namespace(mcras.BDP_NAMESPACE.name, mcras.BDP_NAMESPACE.link)
self.prov_doc.add_namespace(mcras.ALG_NAMESPACE.name, mcras.ALG_NAMESPACE.link)
self.prov_doc.add_namespace(mcras.DAT_NAMESPACE.name, mcras.DAT_NAMESPACE.link)
self.prov_doc.add_namespace(mcras.LOG_NAMESPACE.name, mcras.LOG_NAMESPACE.link)
self.prov_doc.add_namespace(mcras.ONT_NAMESPACE.name, mcras.ONT_NAMESPACE.link)
def assertPROVJSONRoundTripEquivalence(self, prov_doc, msg=None):
json_str = prov_doc.serialize(indent=4)
prov_doc_new = ProvDocument.deserialize(content=json_str)
self.assertEqual(prov_doc, prov_doc_new, msg)
