def request_ark(request, dataset_uuid):
if request.method == 'GET':
context = {}
if request.user.is_anonymous():
api_client = get_portal_api_client()
else:
api_client = request.user.agave_oauth.api_client
try:
dataset = Dataset(api_client=api_client, uuid=dataset_uuid)
associated_ids = dataset.identifiers
if _has_identifier(associated_ids, 'ark'):
messages.warning(request, "Dataset alread has an ARK identifier.")
return HttpResponseRedirect(reverse('ids_projects:project-list-private'))
metadata = meta_for_ark(dataset)
client = ezidClient('apitest', 'apitest')
response = client.Mint('ark:/99999/fk4', metadata)
if "success" in response.keys():
ark = response['success']
identifier = Identifier(api_client=api_client, type='ark', uid=ark, dataset=dataset)
identifier.save()
dataset = _add_identifier_to_dataset(dataset, identifier)
else:
logger.error("Failed to mint an ARK identifier!")
messages.warning(request, "Error in requesting ARK!")
return HttpResponseRedirect(reverse('ids_projects:project-list-private'))
return render(request, 'ids_projects/datasets/request_doi.html', context)
except Exception as e:
exception_msg = 'Unable to load process. %s' % e
logger.error(exception_msg)
messages.warning(request, exception_msg)
return HttpResponseRedirect(reverse('ids_projects:project-list-private'))
def request_doi(request, dataset_uuid):
if request.method == 'GET':
context = {}
if request.user.is_anonymous():
api_client = get_portal_api_client()
else:
api_client = request.user.agave_oauth.api_client
try:
dataset = Dataset(api_client=api_client, uuid=dataset_uuid)
associated_ids = dataset.identifiers
if _has_identifier(associated_ids, 'doi'):
messages.warning(request, "Dataset alread has a DOI identifier.")
return HttpResponseRedirect(reverse('ids_projects:project-list-private'))
essential = meta_for_doi(dataset)
builder = identifierBuilder()
builder.buildXML(essential)
xmlObject = builder.getXML()
# requesting doi
client = ezidClient('apitest', 'apitest')
metadata = {}
metadata["datacite"] = ET.tostring(xmlObject, encoding = "UTF-8", method = "xml")
response = client.Mint('doi:10.5072/FK2', metadata)
if "success" in response.keys():
res = response['success']
doi = res.split('|')[0].strip()
ark = res.split('|')[1].strip()
# update generated ARK as alternative identifier
essential_new = update_alternateIdentifier(essential, ark)
builder.setAlternateIdentifiers(essential_new)
xmlObject = builder.getXML()
metadata["datacite"] = ET.tostring(xmlObject, encoding = "UTF-8", method = "xml")
response = client.Update(doi, metadata)
# save identifier objects
identifier = Identifier(api_client=api_client, type='doi', uid=doi, dataset=dataset)
identifier.save()
dataset = _add_identifier_to_dataset(dataset, identifier)
# NOTES:
# It seems due to network delay, results are not printed immediately.
# However, the metadata were successfully updated in agave
# for elem in dataset.identifiers:
# print elem.title, elem.uid
else:
logger.error("Failed to mint a DOI identifier!")
messages.warning(request, "Error in requesting DOI!")
return HttpResponseRedirect(reverse('ids_projects:project-list-private'))
return render(request, 'ids_projects/datasets/request_doi.html', context)
except Exception as e:
exception_msg = 'Unable to load process. %s' % e
logger.error(exception_msg)
messages.warning(request, exception_msg)
return HttpResponseRedirect(reverse('ids_projects:project-list-private'))
def create(request, dataset_uuid):
"""Create a new dataset"""
identifier_fields = [{'form_field': True,
'id': 'Date',
'label': 'Date',
'required': False},
{'form_field': True,
'id': 'Format',
'label': 'Format',
'required': False},
{'form_field': True,
'id': 'Version',
'label': 'Version',
'required': False},
{'form_field': True,
'id': 'Rights',
'label': 'Rights',
'required': False},
{'form_field': True,
'id': 'creatorName',
'label': 'Creator Name',
'required': False},
{'form_field': True,
'id': 'description',
'label': 'Description',
'required': False},
{'form_field': True,
'id': 'subject',
'label': 'Subject',
'required': False},
{'form_field': True,
'id': 'title',
'label': 'Title',
'required': False},
]
api_client = request.user.agave_oauth.api_client
dataset = Dataset(api_client=api_client, uuid=dataset_uuid)
essential = meta_for_doi(dataset)
initial_data = {'creatorName': essential['creators'][0]['creatorName']['text'],
'description': essential['descriptions'][0]['text'],
'subject': essential['subjects'][0]['text'],
'title': essential['titles'][0]['text']}
context = dict()
#######
# GET #
#######
if request.method == 'GET':
context['form_identifier_create'] = IdentifierForm(fields=identifier_fields, initial=initial_data)
return render(request, 'ids_projects/identifier/create.html', context)
########
# POST #
########
if request.method == 'POST':
builder = identifierBuilder()
builder.buildXML(essential)
xmlObject = builder.getXML()
# requesting doi
client = ezidClient('apitest', 'apitest')
metadata = {}
metadata["datacite"] = ET.tostring(xmlObject, encoding = "UTF-8", method = "xml")
response = client.Mint('doi:10.5072/FK2', metadata)
if "success" in response.keys():
res = response['success']
doi = res.split('|')[0].strip()
ark = res.split('|')[1].strip()
# update generated ARK as alternative identifier
essential_new = update_alternateIdentifier(essential, ark)
builder.setAlternateIdentifiers(essential_new)
xmlObject = builder.getXML()
metadata["datacite"] = ET.tostring(xmlObject, encoding = "UTF-8", method = "xml")
response = client.Update(doi, metadata)
# save identifier objects
identifier = Identifier(api_client=api_client, type='doi', uid=doi, dataset=dataset)
identifier.save()
dataset = _add_identifier_to_dataset(dataset, identifier)
# NOTES:
# It seems due to network delay, results are not printed immediately.
# However, the metadata were successfully updated in agave
# for elem in dataset.identifiers:
# print elem.title, elem.uid
else:
logger.error("Failed to mint a DOI identifier!")
messages.warning(request, "Error in requesting DOI!")
return HttpResponseRedirect(reverse('ids_projects:project-list-private'))
return HttpResponseRedirect(reverse('ids_projects:dataset-view', kwargs={'dataset_uuid': dataset.uuid}))
