def run(self):
# Running this task doesn't delete anything from CKAN itself - so require --force flag to be sent to run it
if not self.force:
raise Exception('Warning: this class does not delete CKAN records. Use --force to run it.')
# Build a dict of all modules and collections
# We then retrieve the appropriate collection from the records module name (AudTable)
# Exclude the MongoDeleteTask though
collections = {cls.module: cls(None).get_collection() for cls in MongoTask.__subclasses__()}
ke_data = KEParser(self.input().open('r'), file_path=self.input().path, schema_file=self.keemu_schema_file)
for record in self.iterate_data(ke_data):
module = record.get('AudTable')
irn = record.get('AudKey')
try:
collection = collections[module]
except KeyError:
log.debug('Skipping eaudit record for %s' % module)
# We do not have a collection for this module - skip to next record
continue
else:
log.info('Deleting record %s(%s)' % (module, irn))
self.delete(collection, irn)
self.mark_complete()
def run(self):
# Running this task doesn't delete anything from CKAN itself - so require --force flag to be sent to run it
if not self.force:
raise Exception(
'Warning: this class does not delete CKAN records. Use --force to run it.'
)
# Build a dict of all modules and collections
# We then retrieve the appropriate collection from the records module name (AudTable)
# Exclude the MongoDeleteTask though
collections = {
cls.module: cls(None).get_collection()
for cls in MongoTask.__subclasses__()
}
ke_data = KEParser(self.input().open('r'),
file_path=self.input().path,
schema_file=self.keemu_schema_file)
for record in self.iterate_data(ke_data):
module = record.get('AudTable')
irn = record.get('AudKey')
try:
collection = collections[module]
except KeyError:
log.debug('Skipping eaudit record for %s' % module)
# We do not have a collection for this module - skip to next record
continue
else:
log.info('Deleting record %s(%s)' % (module, irn))
self.delete(collection, irn)
self.mark_complete()
def process_record(self, data):
# Only import if it's one of the record types we want
record_type = data.get('ColRecordType', 'Missing')
if record_type in self.excluded_types:
log.debug('Skipping record %s: Excluded type %s', data['irn'],
record_type)
raise InvalidRecordException
# Make sure the UUID is valid
guid = data.get('AdmGUIDPreferredValue', None)
if guid:
try:
UUID(guid, version=4)
except ValueError:
# print 'Skipping: not a valid UUID'
# Value error - not a valid hex code for a UUID.
# continue
print 'ERROR: ', guid
raise InvalidRecordException
# If we don't have collection department, skip it
if not data.get('ColDepartment', None):
raise InvalidRecordException
date_inserted = data.get('AdmDateInserted', None)
# Some records have an invalid AdmDateInserted=20-09-27
# As we need this for the stats, we need to skip them - just checking against date length as it's much quicker
if not date_inserted or len(DATE_FORMAT) != len(date_inserted):
log.error('Skipping record %s: invalid AdmDateInserted %s',
data['irn'], date_inserted)
raise InvalidRecordException
# For now, the mongo aggregator cannot handle int / bool in $concat
# So properties that are used in dynamicProperties need to be cast as strings
for i in [
'DnaTotalVolume', 'FeaCultivated', 'MinMetRecoveryWeight',
'MinMetWeightAsRegistered'
]:
if i in data:
data[i] = str(data[i])
# If record is a CITES species, mark cites = True
scientific_name = data.get('DarScientificName', None)
if scientific_name and scientific_name in self.cites_species:
data['cites'] = True
# For the embargo date, we're going to use the latest of NhmSecEmbargoDate and NhmSecEmbargoExtensionDate
# So loop through, convert to timestamp.
embargo_list = []
for f in ['NhmSecEmbargoDate', 'NhmSecEmbargoExtensionDate']:
if data.get(f):
ts = self.date_to_timestamp(data.get(f))
else:
ts = 0
embargo_list.append(ts)
# Set the Real Embargo data to the largest embargo or extension date
data['RealEmbargoDate'] = max(embargo_list)
return super(MongoCatalogueTask, self).process_record(data)