def _show(self):
schemas = [
("Dataset", scheming_dataset_schemas()),
("Group", scheming_group_schemas()),
("Organization", scheming_organization_schemas()),
]
for n, s in schemas:
print n, "schemas:"
if s is None:
print " plugin not loaded or schema not specified\n"
continue
if not s:
print " no schemas"
for typ in sorted(s):
print " * " + json.dumps(typ)
field_names = ('dataset_fields', 'fields', 'resource_fields')
for field_name in field_names:
if s[typ].get(field_name):
if field_name == 'resource_fields':
print " * " + json.dumps("resource")
for field in s[typ][field_name]:
print " - " + json.dumps(field['field_name']),
print scheming_language_text(field.get('label'))
print
def _show(self):
schemas = [
("Dataset", scheming_dataset_schemas()),
("Group", scheming_group_schemas()),
("Organization", scheming_organization_schemas()),
]
for n, s in schemas:
print n, "schemas:"
if s is None:
print " plugin not loaded or schema not specified\n"
continue
if not s:
print " no schemas"
for typ in sorted(s):
print " * " + json.dumps(typ)
field_names = ('dataset_fields', 'fields', 'resource_fields')
for field_name in field_names:
if s[typ].get(field_name):
if field_name == 'resource_fields':
print " * " + json.dumps("resource")
for field in s[typ][field_name]:
print " - " + json.dumps(field['field_name'])
print
def _show(self):
for n, s in (
("Dataset", scheming_dataset_schemas()),
("Group", scheming_group_schemas()),
("Organization", scheming_organization_schemas()),
):
print n, "schemas:"
if s is None:
print " plugin not loaded\n"
continue
if not s:
print " no schemas"
for typ in sorted(s):
print " * " + json.dumps(typ)
for field in s[typ]['fields']:
print " - " + json.dumps(field['field_name'])
print
def _show(self):
for n, s in (
("Dataset", scheming_dataset_schemas()),
("Group", scheming_group_schemas()),
("Organization", scheming_organization_schemas()),
):
print n, "schemas:"
if s is None:
print " plugin not loaded\n"
continue
if not s:
print " no schemas"
for typ in sorted(s):
print " * " + json.dumps(typ)
for field in s[typ]['fields']:
print " - " + json.dumps(field['field_name'])
print
def choose_type(self):
context = {
'model': model,
'session': model.Session,
'user': g.user,
'auth_user_obj': g.userobj
}
# Package needs to have a organization group in the call to
# check_access and also to save it
try:
logic.check_access('package_create', context)
except logic.NotAuthorized:
abort(403, _('Unauthorized to create a package'))
errors = {}
error_summary = {}
if 'POST' == request.method:
try:
dataset_type = request.params['type']
except KeyError:
errors = {'type': [_('Dataset type must be provided')]}
error_summary = {
key.title(): value[0]
for key, value in errors.items()
}
else:
return h.redirect_to(
'spc_dataset.new', package_type=dataset_type
)
options = [
{
'text': schema['about'],
'value': schema['dataset_type']
} for schema in
sorted(scheming_helpers.scheming_dataset_schemas().values())
]
data = {
'form_vars': {
'options': options,
'error_summary': error_summary,
'errors': errors,
},
'form_snippet': 'package/snippets/choose_type_form.html'
}
return render('package/choose_type.html', data)
def get_dataset_types():
lc = ckanapi.LocalCKAN()
types = lc.action.package_search(
q='*:*',
rows=0,
facet='true',
**{"facet.field": ["dataset_type"]}
)['search_facets']['dataset_type']['items']
schemas = scheming_dataset_schemas()
result = {}
for schema in schemas:
result[schema] = {'title': schemas[schema]['catalog_type_label'], 'count': 0}
for type in types:
if schema == type['name']:
result[schema]['count'] = type['count']
break
return sorted(result.iteritems(), key=lambda type: type[1], reverse=True)
def get_dataset_types():
lc = ckanapi.LocalCKAN()
types = lc.action.package_search(
q='*:*', rows=0, facet='true',
**{"facet.field":
["dataset_type"]})['search_facets']['dataset_type']['items']
schemas = scheming_dataset_schemas()
result = {}
for schema in schemas:
result[schema] = {
'title': schemas[schema]['catalog_type_label'],
'count': 0
}
for type in types:
if schema == type['name']:
result[schema]['count'] = type['count']
break
return sorted(result.iteritems(), key=lambda type: type[1], reverse=True)
def configure(self, config_):
self.dataset_types = OrderedDict([
(schema['dataset_type'], schema['about'])
for schema in scheming_helpers.scheming_dataset_schemas().values()
])
self.member_countries = OrderedDict([
(choice['value'], choice['label'])
for choice in scheming_helpers.scheming_get_preset(
'member_countries')['choices']
])
filepath = os.path.join(os.path.dirname(__file__), 'data/eez.json')
if os.path.isfile(filepath):
with open(filepath) as file:
logger.debug('Updating EEZ list')
collection = json.load(file)
spc_utils.eez.update(collection['features'])
toolkit.add_ckan_admin_tab(config_, 'search_queries.index',
'Search Queries')
toolkit.add_ckan_admin_tab(config_, 'ingest.index', 'Ingest')
def scheming_dataset_schema_list(context, data_dict):
"""
Return a list of dataset types customized with the scheming extension
"""
return list(scheming_dataset_schemas())
def scheming_dataset_schema_list(context, data_dict):
'''
Return a list of dataset types customized with the scheming extension
'''
return list(scheming_dataset_schemas())