def fetchAndConvertToDCAT(self,
graph,
portal_ref,
portal_api,
snapshot,
activity,
format="ttl"):
logger.debug('Fetching CKAN portal via RDF endpoint: ' + portal_api)
with no_ssl_verification():
graph.parse(portal_api, format=format)
cur = graph.value(predicate=RDF.type,
object=namespaces['hydra'].PagedCollection)
next_page = graph.value(subject=cur,
predicate=namespaces['hydra'].nextPage)
page = 0
while next_page:
page += 1
if page % 10 == 0:
logger.debug('Processed pages:' + str(page))
p = str(next_page)
g = rdflib.Graph()
g.parse(p, format=format)
next_page = g.value(subject=URIRef(next_page),
predicate=namespaces['hydra'].nextPage)
graph.parse(p, format=format)
logger.debug('Total pages:' + str(page))
logger.info('Fetching finished')
for d in graph.subjects(RDF.type, DCAT.Dataset):
quality.add_quality_measures(d, graph, activity)
def fetchAndConvertToDCAT(self, graph, portal_ref, portal_api, snapshot,
activity):
with no_ssl_verification():
graph = rdflib.Graph()
graph.parse(portal_api, format="xml")
for d in graph.subjects(RDF.type, DCAT.Dataset):
quality.add_quality_measures(d, graph, activity)
def fetchAndConvertToDCAT(self, graph, portal_ref, portal_api, snapshot,
activity):
url = portal_api + "?format=text/turtle&query="
query = """
construct {?dataset a dcat:Dataset} {
?dataset a dcat:Dataset.
}
"""
limit = 10000
offset = 0
download_url = url + urllib.parse.quote(query + " OFFSET " +
str(offset) + " LIMIT " +
str(limit))
tmpgraph = rdflib.Graph()
tmpgraph.parse(download_url, format='ttl')
datasets = [d for d in tmpgraph.subjects(RDF.type, DCAT.Dataset)]
with no_ssl_verification():
while len(datasets) > 0:
for dataset_uri in tmpgraph.subjects(RDF.type, DCAT.Dataset):
construct_query = """
CONSTRUCT {{ <{0}> ?p ?o. ?o ?q ?r}}
WHERE {{
<{0}> a dcat:Dataset.
<{0}> ?p ?o
OPTIONAL {{?o ?q ?r}}
}}
""".format(str(dataset_uri))
ds_url = url + urllib.parse.quote(construct_query)
graph.parse(ds_url, format='ttl')
graph.add((portal_ref, DCAT.dataset, dataset_uri))
graph.add((dataset_uri, RDF.type, DCAT.Dataset))
quality.add_quality_measures(dataset_uri, graph, activity)
offset += limit
download_url = url + urllib.parse.quote(query + " OFFSET " +
str(offset) +
" LIMIT " + str(limit))
tmpgraph = rdflib.Graph()
tmpgraph.parse(download_url, format='ttl')
datasets = [
d for d in tmpgraph.subjects(RDF.type, DCAT.Dataset)
]
def fetchAndConvertToDCAT(self,
graph,
portal_ref,
portal_api,
snapshot,
activity,
dcat=True):
api = urllib.parse.urljoin(portal_api,
'/api/1/datasets/?page_size=100')
processed = set([])
with no_ssl_verification():
while True:
resp = requests.get(api, verify=False)
if resp.status_code != requests.codes.ok:
# TODO wait? appropriate message
pass
res = resp.json()
# returns a list of datasets
if not res or 'data' not in res:
break
for datasetJSON in res['data']:
if 'id' not in datasetJSON:
continue
datasetID = datasetJSON['id']
if datasetID not in processed:
processed.add(datasetID)
dataset_ref = graph_from_data_gouv_fr(
graph, datasetJSON, portal_api)
graph.add((portal_ref, DCAT.dataset, dataset_ref))
quality.add_quality_measures(dataset_ref, graph,
activity)
if len(processed) % 1000 == 0:
logger.info("ProgressDSFetch: " + portal_api +
", processed= " + str(len(processed)))
if 'next_page' in res and res['next_page']:
api = res['next_page']
else:
break
def fetchAndConvertToDCAT(self, graph, portal_ref, portal_api, snapshot,
activity):
start = 0
rows = 10000
processed = set([])
with no_ssl_verification():
while True:
query = '/api/datasets/1.0/search?rows=' + str(
rows) + '&start=' + str(start)
resp = requests.get(urllib.parse.urljoin(portal_api, query),
verify=False)
res = resp.json()
datasets = res['datasets']
if datasets:
rows = len(datasets) if start == 0 else rows
start += rows
for datasetJSON in datasets:
if 'datasetid' not in datasetJSON:
continue
datasetID = datasetJSON['datasetid']
if datasetID not in processed:
dataset_ref = graph_from_opendatasoft(
graph, datasetJSON, portal_api)
graph.add((portal_ref, DCAT.dataset, dataset_ref))
quality.add_quality_measures(
dataset_ref, graph, activity)
processed.add(datasetID)
if len(processed) % 1000 == 0:
logger.info("ProgressDSFetch: " + portal_api +
", processed= " +
str(len(processed)))
else:
break
def fetchAndConvertToDCAT(self, graph, portal_ref, portal_api, snapshot,
activity):
api = urllib.parse.urljoin(portal_api, '/api/')
page = 1
processed = set([])
with no_ssl_verification():
while True:
resp = requests.get(urllib.parse.urljoin(
api, '/views/metadata/v1?page=' + str(page)),
verify=False)
if resp.status_code != requests.codes.ok:
# TODO wait? appropriate message
pass
res = resp.json()
# returns a list of datasets
if not res:
break
for datasetJSON in res:
if 'id' not in datasetJSON:
continue
datasetID = datasetJSON['id']
if datasetID not in processed:
dataset_ref = convert_socrata(graph, datasetJSON,
portal_api)
graph.add((portal_ref, DCAT.dataset, dataset_ref))
quality.add_quality_measures(dataset_ref, graph,
activity)
processed.add(datasetID)
if len(processed) % 1000 == 0:
logger.info("ProgressDSFetch: " + portal_api +
", processed= " + str(len(processed)))
page += 1
def dataset_to_ttl(datasetdata, graph, portal_uri, portal_api, portal_software,
activity):
dataset_ref = dataset_converter.dict_to_dcat(datasetdata, graph,
portal_uri, portal_api,
portal_software)
quality.add_quality_measures(dataset_ref, graph, activity)
def fetchAndConvertToDCAT(self,
graph,
portal_ref,
portal_api,
snapshot,
activity,
timeout_attempts=5,
timeout=24 * 60 * 60):
starttime = time.time()
start = 0
rows = 1000
total = 0
processed_ids = set([])
processed_names = set([])
try:
with no_ssl_verification():
session = requests.Session()
session.verify = False
api = ckanapi.RemoteCKAN(portal_api,
get_only=True,
session=session)
response = api.action.package_search(rows=0)
total = response["count"]
# TODO store total
while True:
response = self._get_datasets(api, timeout_attempts, rows,
start)
#print Portal.apiurl, start, rows, len(processed)
datasets = response["results"] if response else None
if datasets:
rows = len(datasets)
start += rows
for datasetJSON in datasets:
datasetID = datasetJSON['id']
try:
if datasetID not in processed_ids:
converter = CKANConverter(
graph, portal_api)
dataset_ref = converter.graph_from_ckan(
datasetJSON)
graph.add((portal_ref, DCAT.dataset,
dataset_ref))
quality.add_quality_measures(
dataset_ref, graph, activity)
processed_ids.add(datasetID)
processed_names.add(datasetJSON['name'])
now = time.time()
if now - starttime > timeout:
raise TimeoutError(
"Timeout of " + portal_api +
" and " + str(timeout) +
" seconds", timeout)
except Exception as e:
logger.error("CKANDSFetchDatasetBatchError: " +
str(e))
rows = min([int(rows * 1.2), 1000])
else:
break
except TimeoutError as e:
raise e
except Exception as e:
logger.error("CKANDSFetchBatchError " + portal_api + ": " + str(e))
if len(processed_ids) != total:
logger.info("Not all datasets processed: fetched=" +
str(len(processed_ids)) + ", total=" + str(total))
try:
package_list, status = getPackageList(portal_api)
tt = len(package_list)
if total == 0:
# TODO store total tt
pass
# TODO parameter:
NOT_SUPPORTED_PENALITY = 100
TIMEOUT_PENALITY = 100
not_supported_count = 0
timeout_counts = 0
for entity in package_list:
#WAIT between two consecutive GET requests
if entity not in processed_ids and entity not in processed_names:
time.sleep(random.uniform(0.5, 1))
try:
resp, status = getPackage(apiurl=portal_api,
id=entity)
if resp:
data = resp
processed_names.add(entity)
converter = CKANConverter(graph, portal_api)
dataset_ref = converter.graph_from_ckan(data)
graph.add(
(portal_ref, DCAT.dataset, dataset_ref))
quality.add_quality_measures(
dataset_ref, graph, activity)
if entity not in processed_ids:
processed_ids.add(entity)
except Exception as e:
logger.error('fetchDS: ' + str(e))
# if we get too much exceptions we assume this is not supported
not_supported_count += 1
if not_supported_count > NOT_SUPPORTED_PENALITY:
return
now = time.time()
if now - starttime > timeout:
raise TimeoutError(
"Timeout of " + portal_api + " and " +
str(timeout) + " seconds", timeout)
except Exception as e:
if len(processed_ids) == 0 or isinstance(e, TimeoutError):
raise e
