def test_create_from_dict(self):
workTest = WorkRecord.createFromDict(**{
'title': 'A Title',
'uuid': '0000000-0000-0000-0000-00000000000'
})
self.assertIsInstance(workTest, WorkRecord)
self.assertEqual(workTest.title, 'A Title')
def readFromClassify(workXML, workUUID):
"""Parse Classify XML document into a object that complies with the
SFR data model. Accepts a single XML document and returns a WorkRecord."""
logger.debug('Parsing Returned Work')
work = workXML.find('.//work', namespaces=NAMESPACE)
start = workXML.find('.//start', namespaces=NAMESPACE)
oclcTitle = work.get('title')
oclcNo = Identifier('oclc', work.text, 1)
owiNo = Identifier('owi', work.get('owi'), 1)
if OutputManager.checkRecentQueries('lookup/{}/{}/{}'.format(
'owi', work.get('owi'), start.text
)) is True:
raise DataError('Work {} with OWI {} already classified'.format(
workUUID, work.get('owi')
))
measurements = []
for measure in ['editions', 'holdings', 'eholdings']:
measurements.append(Measurement(
measure,
work.get(measure),
1,
MEASUREMENT_TIME,
work.text
))
authors = workXML.findall('.//author', namespaces=NAMESPACE)
authorList = list(map(parseAuthor, authors))
editions = workXML.findall('.//edition', namespaces=NAMESPACE)
editionList = loadEditions(editions)
headings = workXML.findall('.//heading', namespaces=NAMESPACE)
headingList = list(map(parseHeading, headings))
workDict = {
'title': oclcTitle,
'agents': authorList,
'instances': editionList,
'subjects': headingList,
'identifiers': [
oclcNo,
owiNo
],
'measurements': measurements
}
instanceCount = int(work.get('editions', 0))
return WorkRecord.createFromDict(**workDict), instanceCount, work.text