def _parse_results_set_info(self):
result_elem = extract_elem(self.parser.xml, ['SearchResults'])
self.total = extract_attrib(result_elem, ['@numberOfRecordsMatched'])
self.subtotal = extract_attrib(result_elem,
['@numberOfRecordsReturned'])
self.schema = extract_attrib(result_elem, ['@recordSchema'])
def parse(self):
output = {}
urls = set()
if 'service' in self.identify:
service = {
"object_id": generate_uuid_urn(),
"dcterms:title": extract_attrib(self.parser.xml, ['@name']),
"rdf:type": "UNIDATA:THREDDS {0}".format(
extract_attrib(self.parser.xml, ['@version'])),
"bcube:dateCreated":
self.harvest_details.get('harvest_date', ''),
"bcube:lastUpdated":
self.harvest_details.get('harvest_date', ''),
"relationships": [],
"urls": []
}
url_sha = generate_sha_urn(self.url)
urls.add(url_sha)
original_url = self._generate_harvest_manifest(**{
"bcube:hasUrlSource": "Harvested",
"bcube:hasConfidence": "Good",
"vcard:hasURL": self.url,
"object_id": url_sha
})
service['urls'].append(original_url)
# NOTE: this is not the sha from the url
service['relationships'].append(
{
"relate": "bcube:originatedFrom",
"object_id": url_sha
}
)
# deal with the "dataset"
service_bases = self.parser.xml.xpath(
'//*[local-name()="service" and @base != ""]'
)
self.service_bases = {
s.attrib.get('name'): s.attrib.get('base') for s in service_bases
}
# if 'dataset' in self.identify:
# # TODO: this is really not right but it is not
# # a proper web service so meh
# datasets = self._parse_datasets()
# # if 'metadata' in self.identify:
# # self.description['metadata'] = self._parse_metadata()
output['services'] = [service]
self.description = tidy_dict(output)
def _parse_keywords(self, elem):
'''
for each descriptiveKeywords block
in an identification block
'''
keywords = []
for key_elem in extract_elems(elem, ['descriptiveKeywords']):
# TODO: split these up (if *-delimited in some way)
terms = extract_items(
key_elem,
['MD_Keywords', 'keyword', 'CharacterString'])
key_type = extract_attrib(
key_elem,
['MD_Keywords', 'type', 'MD_KeywordTypeCode', '@codeListValue']
)
thesaurus = extract_item(
key_elem,
[
'MD_Keywords',
'thesaurusName',
'CI_Citation',
'title',
'CharacterString'
]
)
if terms:
keywords.append(
tidy_dict({
"object_id": generate_uuid_urn(),
"dc:partOf": thesaurus,
"bcube:hasType": key_type,
"bcube:hasValue": terms
})
)
# TODO: add the Anchor element handling
# ['descriptiveKeywords', 'MD_Keywords', 'keyword', 'Anchor']
# add a generic set for the iso topic category
isotopics = extract_items(
elem, ['topicCategory', 'MD_TopicCategoryCode'])
if isotopics:
keywords.append(
tidy_dict({
"object_id": generate_uuid_urn(),
"dc:partOf": 'IsoTopicCategories',
"bcube:hasValue": isotopics
})
)
return keywords
def _handle_operations(self):
elems = extract_elems(self.elem,
['containsOperations', 'SV_OperationMetadata'])
ops = []
for e in elems:
op = {}
op['name'] = extract_item(e, ['operationName', 'CharacterString'])
op['method'] = extract_attrib(e,
['DCP', 'DCPList', '@codeListValue'])
op['url'] = extract_item(
e, ['connectPoint', 'CI_OnlineResource', 'linkage', 'URL'])
op['parameters'] = [
self._handle_parameter(pe)
for pe in extract_elems(e, ['parameters', 'SV_Parameter'])
]
ops.append(op)
return ops
def _parse_keywords(self, elem):
'''
for each descriptiveKeywords block
in an identification block
'''
keywords = []
for key_elem in extract_elems(elem, ['descriptiveKeywords']):
# TODO: split these up (if *-delimited in some way)
terms = extract_items(
key_elem, ['MD_Keywords', 'keyword', 'CharacterString'])
key_type = extract_attrib(key_elem, [
'MD_Keywords', 'type', 'MD_KeywordTypeCode', '@codeListValue'
])
thesaurus = extract_item(key_elem, [
'MD_Keywords', 'thesaurusName', 'CI_Citation', 'title',
'CharacterString'
])
if terms:
keywords.append(
tidy_dict({
"object_id": generate_uuid_urn(),
"dc:partOf": thesaurus,
"bcube:hasType": key_type,
"bcube:hasValue": terms
}))
# TODO: add the Anchor element handling
# ['descriptiveKeywords', 'MD_Keywords', 'keyword', 'Anchor']
# add a generic set for the iso topic category
isotopics = extract_items(elem,
['topicCategory', 'MD_TopicCategoryCode'])
if isotopics:
keywords.append(
tidy_dict({
"object_id": generate_uuid_urn(),
"dc:partOf": 'IsoTopicCategories',
"bcube:hasValue": isotopics
}))
return keywords
def _handle_operations(self):
elems = extract_elems(
self.elem,
['containsOperations', 'SV_OperationMetadata'])
ops = []
for e in elems:
op = {}
op['name'] = extract_item(
e,
['operationName', 'CharacterString'])
op['method'] = extract_attrib(
e,
['DCP', 'DCPList', '@codeListValue'])
op['url'] = extract_item(
e,
['connectPoint', 'CI_OnlineResource', 'linkage', 'URL'])
op['parameters'] = [
self._handle_parameter(pe) for pe in
extract_elems(e, ['parameters', 'SV_Parameter'])]
ops.append(op)
return ops
def _parse_results_set_info(self):
result_elem = extract_elem(self.parser.xml, ['SearchResults'])
self.total = extract_attrib(result_elem, ['@numberOfRecordsMatched'])
self.subtotal = extract_attrib(result_elem, ['@numberOfRecordsReturned'])
self.schema = extract_attrib(result_elem, ['@recordSchema'])
