def test_dataset_compatibility_mode(self):
contents = self._get_file_contents('dataset.rdf')
p = RDFParser(profiles=['euro_dcat_ap'], compatibility_mode=True)
p.parse(contents)
datasets = [d for d in p.datasets()]
eq_(len(datasets), 1)
dataset = datasets[0]
def _get_extra_value(key):
v = [
extra['value'] for extra in dataset['extras']
if extra['key'] == key
]
return v[0] if v else None
eq_(_get_extra_value('dcat_issued'), u'2012-05-10')
eq_(_get_extra_value('dcat_modified'), u'2012-05-10T21:04:00')
eq_(_get_extra_value('dcat_publisher_name'),
'Publishing Organization for dataset 1')
eq_(_get_extra_value('dcat_publisher_email'), '*****@*****.**')
eq_(_get_extra_value('language'), 'ca,en,es')
def test_dataset_turtle_1(self):
contents = self._get_file_contents('dataset_deri.ttl')
p = RDFParser(profiles=['euro_dcat_ap'])
p.parse(contents, _format='n3')
datasets = [d for d in p.datasets()]
eq_(len(datasets), 1)
dataset = datasets[0]
eq_(dataset['title'], 'Abandoned Vehicles')
eq_(len(dataset['resources']), 1)
resource = dataset['resources'][0]
eq_(resource['name'], u'CSV distribution of: Abandoned Vehicles')
eq_(
resource['url'],
u'http://data.london.gov.uk/datafiles/environment/abandoned-vehicles-borough.csv'
)
eq_(resource['uri'],
u'http://data.london.gov.uk/dataset/Abandoned_Vehicles/csv')
def test_dataset_json_ld_1(self):
contents = self._get_file_contents('catalog_pod.jsonld')
p = RDFParser(profiles=['euro_dcat_ap'])
p.parse(contents, _format='json-ld')
datasets = [d for d in p.datasets()]
eq_(len(datasets), 1)
dataset = datasets[0]
extras = dict((e['key'], e['value']) for e in dataset['extras'])
eq_(dataset['title'], 'U.S. Widget Manufacturing Statistics')
eq_(extras['contact_name'], 'Jane Doe')
eq_(extras['contact_email'], 'mailto:[email protected]')
eq_(extras['publisher_name'], 'Widget Services')
eq_(extras['publisher_email'], '*****@*****.**')
eq_(len(dataset['resources']), 4)
resource = [
r for r in dataset['resources'] if r['name'] == 'widgets.csv'
][0]
eq_(resource['name'], u'widgets.csv')
eq_(
resource['url'],
u'https://data.agency.gov/datasets/widgets-statistics/widgets.csv')
eq_(
resource['download_url'],
u'https://data.agency.gov/datasets/widgets-statistics/widgets.csv')
def test_parse_data_different_format(self):
data = '''
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
<http://example.org> a rdfs:SomeClass ;
rdfs:label "Some label" .
'''
p = RDFParser()
eq_(len(p.g), 0)
p.parse(data, _format='n3')
eq_(len(p.g), 2)
def test_parse_without_pagination(self):
data = '''<?xml version="1.0" encoding="utf-8" ?>
<rdf:RDF
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#">
<rdfs:SomeClass rdf:about="http://example.org">
<rdfs:label>Some label</rdfs:label>
</rdfs:SomeClass>
</rdf:RDF>
'''
p = RDFParser()
p.parse(data)
eq_(p.next_page(), None)
def test_catalog_xml_rdf(self):
contents = self._get_file_contents('catalog.rdf')
p = RDFParser(profiles=['euro_dcat_ap'])
p.parse(contents)
datasets = [d for d in p.datasets()]
eq_(len(datasets), 2)
dataset = (datasets[0] if datasets[0]['title'] == 'Example dataset 1'
else datasets[1])
eq_(dataset['title'], 'Example dataset 1')
eq_(len(dataset['resources']), 3)
eq_(len(dataset['tags']), 2)
def test_parse_pagination_last_page(self):
data = '''<?xml version="1.0" encoding="utf-8" ?>
<rdf:RDF
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#"
xmlns:hydra="http://www.w3.org/ns/hydra/core#">
<hydra:PagedCollection rdf:about="http://example.com/catalog.xml?page=3">
<hydra:totalItems rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">245</hydra:totalItems>
<hydra:lastPage>http://example.com/catalog.xml?page=3</hydra:lastPage>
<hydra:itemsPerPage rdf:datatype="http://www.w3.org/2001/XMLSchema#integer">100</hydra:itemsPerPage>
<hydra:firstPage>http://example.com/catalog.xml?page=1</hydra:firstPage>
<hydra:previousPage>http://example.com/catalog.xml?page=2</hydra:previousPage>
</hydra:PagedCollection>
</rdf:RDF>
'''
p = RDFParser()
p.parse(data)
eq_(p.next_page(), None)
def gather_stage(self, harvest_job):
log.debug('In IAESTRDFHarvester gather_stage')
rdf_format = None
if harvest_job.source.config:
rdf_format = json.loads(harvest_job.source.config).get("rdf_format")
# Get file contents of first page
next_page_url = harvest_job.source.url
guids_in_source = []
object_ids = []
last_content_hash = None
while next_page_url:
for harvester in p.PluginImplementations(IIAESTRDFHarvester):
next_page_url, before_download_errors = harvester.before_download(next_page_url, harvest_job)
for error_msg in before_download_errors:
self._save_gather_error(error_msg, harvest_job)
if not next_page_url:
return []
content, rdf_format = self._get_content_and_type(next_page_url, harvest_job, 1, content_type=rdf_format)
content_hash = hashlib.md5()
if content:
content_hash.update(content)
if last_content_hash:
if content_hash.digest() == last_content_hash.digest():
log.warning('Remote content was the same even when using a paginated URL, skipping')
break
else:
last_content_hash = content_hash
# TODO: store content?
for harvester in p.PluginImplementations(IIAESTRDFHarvester):
content, after_download_errors = harvester.after_download(content, harvest_job)
for error_msg in after_download_errors:
self._save_gather_error(error_msg, harvest_job)
if not content:
return []
# TODO: profiles conf
parser = RDFParser()
try:
parser.parse(content, _format=rdf_format)
except RDFParserException, e:
self._save_gather_error('Error parsing the RDF file: {0}'.format(e), harvest_job)
return []
log.warning('Parser complete.')
try:
for dataset in parser.datasets():
if not dataset.get('name'):
dataset['name'] = self._gen_new_name(dataset['title'])
log.warning('Generando dataset: {0}'.format(dataset['name']) )
# Unless already set by the parser, get the owner organization (if any)
# from the harvest source dataset
if not dataset.get('owner_org'):
source_dataset = model.Package.get(harvest_job.source.id)
if source_dataset.owner_org:
dataset['owner_org'] = source_dataset.owner_org
# Try to get a unique identifier for the harvested dataset
guid = self._get_guid(dataset)
if not guid:
self._save_gather_error('Could not get a unique identifier for dataset: {0}'.format(dataset),
harvest_job)
continue
dataset['extras'].append({'key': 'guid', 'value': guid})
guids_in_source.append(guid)
obj = HarvestObject(guid=guid, job=harvest_job,
content=json.dumps(dataset))
obj.save()
object_ids.append(obj.id)
except Exception, e:
self._save_gather_error('Error when processsing dataset: %r / %s' % (e, traceback.format_exc()),
harvest_job)
return []
def test_dataset_all_fields(self):
contents = self._get_file_contents('dataset.rdf')
p = RDFParser(profiles=['euro_dcat_ap'])
p.parse(contents)
datasets = [d for d in p.datasets()]
eq_(len(datasets), 1)
dataset = datasets[0]
# Basic fields
eq_(dataset['title'], u'Zimbabwe Regional Geochemical Survey.')
eq_(
dataset['notes'],
u'During the period 1982-86 a team of geologists from the British Geological Survey ...'
)
eq_(dataset['url'], 'http://dataset.info.org')
eq_(dataset['version'], '2.3')
eq_(dataset['license_id'], 'cc-nc')
# Tags
eq_(sorted(dataset['tags'], key=lambda k: k['name']),
[{
'name': u'exploration'
}, {
'name': u'geochemistry'
}, {
'name': u'geology'
}])
# Extras
def _get_extra_value(key):
v = [
extra['value'] for extra in dataset['extras']
if extra['key'] == key
]
return v[0] if v else None
def _get_extra_value_as_list(key):
value = _get_extra_value(key)
return json.loads(value) if value else []
# Simple values
eq_(_get_extra_value('issued'), u'2012-05-10')
eq_(_get_extra_value('modified'), u'2012-05-10T21:04:00')
eq_(_get_extra_value('identifier'),
u'9df8df51-63db-37a8-e044-0003ba9b0d98')
eq_(_get_extra_value('version_notes'), u'New schema added')
eq_(_get_extra_value('temporal_start'), '1905-03-01')
eq_(_get_extra_value('temporal_end'), '2013-01-05')
eq_(_get_extra_value('frequency'), 'http://purl.org/cld/freq/daily')
eq_(_get_extra_value('spatial_uri'),
'http://publications.europa.eu/mdr/authority/country/ZWE')
eq_(_get_extra_value('publisher_uri'),
'http://orgs.vocab.org/some-org')
eq_(_get_extra_value('publisher_name'),
'Publishing Organization for dataset 1')
eq_(_get_extra_value('publisher_email'), '*****@*****.**')
eq_(_get_extra_value('publisher_url'), 'http://some.org')
eq_(_get_extra_value('publisher_type'),
'http://purl.org/adms/publishertype/NonProfitOrganisation')
eq_(_get_extra_value('contact_name'), 'Point of Contact')
eq_(_get_extra_value('contact_email'), 'mailto:[email protected]')
eq_(_get_extra_value('access_rights'), 'public')
eq_(_get_extra_value('provenance'), 'Some statement about provenance')
eq_(_get_extra_value('dcat_type'), 'test-type')
# Lists
eq_(sorted(_get_extra_value_as_list('language')),
[u'ca', u'en', u'es'])
eq_(sorted(_get_extra_value_as_list('theme')), [
u'Earth Sciences', u'http://eurovoc.europa.eu/100142',
u'http://eurovoc.europa.eu/209065'
])
eq_(sorted(_get_extra_value_as_list('conforms_to')),
[u'Standard 1', u'Standard 2'])
eq_(sorted(_get_extra_value_as_list('alternate_identifier')),
[u'alternate-identifier-1', u'alternate-identifier-2'])
eq_(sorted(_get_extra_value_as_list('documentation')),
[u'http://dataset.info.org/doc1', u'http://dataset.info.org/doc2'])
eq_(sorted(_get_extra_value_as_list('related_resource')), [
u'http://dataset.info.org/related1',
u'http://dataset.info.org/related2'
])
eq_(sorted(_get_extra_value_as_list('has_version')), [
u'https://data.some.org/catalog/datasets/derived-dataset-1',
u'https://data.some.org/catalog/datasets/derived-dataset-2'
])
eq_(sorted(_get_extra_value_as_list('is_version_of')),
[u'https://data.some.org/catalog/datasets/original-dataset'])
eq_(sorted(_get_extra_value_as_list('source')), [
u'https://data.some.org/catalog/datasets/source-dataset-1',
u'https://data.some.org/catalog/datasets/source-dataset-2'
])
eq_(sorted(_get_extra_value_as_list('sample')), [
u'https://data.some.org/catalog/datasets/9df8df51-63db-37a8-e044-0003ba9b0d98/sample'
])
# Dataset URI
eq_(
_get_extra_value('uri'),
u'https://data.some.org/catalog/datasets/9df8df51-63db-37a8-e044-0003ba9b0d98'
)
# Resources
eq_(len(dataset['resources']), 1)
resource = dataset['resources'][0]
# Simple values
eq_(resource['name'], u'Some website')
eq_(resource['description'], u'A longer description')
eq_(resource['format'], u'HTML')
eq_(resource['mimetype'], u'text/html')
eq_(resource['issued'], u'2012-05-11')
eq_(resource['modified'], u'2012-05-01T00:04:06')
eq_(resource['status'], u'http://purl.org/adms/status/Completed')
eq_(resource['hash'], u'4304cf2e751e6053c90b1804c89c0ebb758f395a')
eq_(resource['hash_algorithm'],
u'http://spdx.org/rdf/terms#checksumAlgorithm_sha1')
# Lists
for item in [
('documentation', [
u'http://dataset.info.org/distribution1/doc1',
u'http://dataset.info.org/distribution1/doc2'
]),
('language', [u'ca', u'en', u'es']),
('conforms_to', [u'Standard 1', u'Standard 2']),
]:
eq_(sorted(json.loads(resource[item[0]])), item[1])
# These two are likely to need clarification
eq_(resource['license'],
u'http://creativecommons.org/licenses/by-nc/2.0/')
eq_(resource['rights'], u'Some statement about rights')
eq_(resource['url'], u'http://www.bgs.ac.uk/gbase/geochemcd/home.html')
assert 'download_url' not in resource
eq_(resource['size'], 12323)
# Distribution URI
eq_(
resource['uri'],
u'https://data.some.org/catalog/datasets/9df8df51-63db-37a8-e044-0003ba9b0d98/1'
)