def test_parse_european_frequencies_as_url(self, freq, expected):
assert frequency_from_rdf(str(freq)) == expected
def test_parse_european_frequencies_as_resource(self, freq, expected):
g = Graph()
resource = RdfResource(g, freq)
assert frequency_from_rdf(resource) == expected
def test_parse_european_frequencies(self, freq, expected):
assert frequency_from_rdf(freq) == expected
def test_parse_dublin_core_frequencies_as_url(self, freq, expected):
assert frequency_from_rdf(str(freq)) == expected
def test_parse_dublin_core_frequencies(self, freq, expected):
assert frequency_from_rdf(freq) == expected
def process(self, item):
response = self.get_action('package_show', id=item.remote_id)
data = self.validate(response['result'], self.schema)
if type(data) == list:
data = data[0]
# Fix the remote_id: use real ID instead of not stable name
item.remote_id = data['id']
# Skip if no resource
if not len(data.get('resources', [])):
msg = 'Dataset {0} has no record'.format(item.remote_id)
raise HarvestSkipException(msg)
dataset = self.get_dataset(item.remote_id)
# Core attributes
if not dataset.slug:
dataset.slug = data['name']
dataset.title = data['title']
dataset.description = parse_html(data['notes'])
# Detect license
default_license = dataset.license or License.default()
dataset.license = License.guess(data['license_id'],
data['license_title'],
default=default_license)
dataset.tags = [t['name'] for t in data['tags'] if t['name']]
dataset.created_at = data['metadata_created']
dataset.last_modified = data['metadata_modified']
dataset.extras['ckan:name'] = data['name']
temporal_start, temporal_end = None, None
spatial_geom, spatial_zone = None, None
for extra in data['extras']:
key = extra['key']
value = extra['value']
if value is None or (isinstance(value, str) and not value.strip()):
# Skip empty extras
continue
elif key == 'spatial':
# GeoJSON representation (Polygon or Point)
spatial_geom = json.loads(value)
elif key == 'spatial-text':
# Textual representation of the extent / location
qs = GeoZone.objects(db.Q(name=value) | db.Q(slug=value))
qs = qs.valid_at(datetime.now())
if qs.count() == 1:
spatial_zone = qs.first()
else:
dataset.extras['ckan:spatial-text'] = value
log.debug('spatial-text value not handled: %s', value)
elif key == 'spatial-uri':
# Linked Data URI representing the place name
dataset.extras['ckan:spatial-uri'] = value
log.debug('spatial-uri value not handled: %s', value)
elif key == 'frequency':
# Update frequency
freq = frequency_from_rdf(value)
if freq:
dataset.frequency = freq
elif value in UPDATE_FREQUENCIES:
dataset.frequency = value
else:
dataset.extras['ckan:frequency'] = value
log.debug('frequency value not handled: %s', value)
# Temporal coverage start
elif key == 'temporal_start':
temporal_start = daterange_start(value)
# Temporal coverage end
elif key == 'temporal_end':
temporal_end = daterange_end(value)
else:
dataset.extras[extra['key']] = value
if spatial_geom or spatial_zone:
dataset.spatial = SpatialCoverage()
if spatial_zone:
dataset.spatial.zones = [spatial_zone]
if spatial_geom:
if spatial_geom['type'] == 'Polygon':
coordinates = [spatial_geom['coordinates']]
elif spatial_geom['type'] == 'MultiPolygon':
coordinates = spatial_geom['coordinates']
else:
raise HarvestException('Unsupported spatial geometry')
dataset.spatial.geom = {
'type': 'MultiPolygon',
'coordinates': coordinates
}
if temporal_start and temporal_end:
dataset.temporal_coverage = db.DateRange(
start=temporal_start,
end=temporal_end,
)
# Remote URL
dataset.extras['remote_url'] = self.dataset_url(data['name'])
if data.get('url'):
try:
url = uris.validate(data['url'])
except uris.ValidationError:
dataset.extras['ckan:source'] = data['url']
else:
# use declared `url` as `remote_url` if any
dataset.extras['remote_url'] = url
# Resources
for res in data['resources']:
if res['resource_type'] not in ALLOWED_RESOURCE_TYPES:
continue
try:
resource = get_by(dataset.resources, 'id', UUID(res['id']))
except Exception:
log.error('Unable to parse resource ID %s', res['id'])
continue
if not resource:
resource = Resource(id=res['id'])
dataset.resources.append(resource)
resource.title = res.get('name', '') or ''
resource.description = parse_html(res.get('description'))
resource.url = res['url']
resource.filetype = 'remote'
resource.format = res.get('format')
resource.mime = res.get('mimetype')
resource.hash = res.get('hash')
resource.created = res['created']
resource.modified = res['last_modified']
resource.published = resource.published or resource.created
return dataset
