def build_schema(self):
fields = get_detail_schema(
DataSet(), 'dataset', lambda x: x.show_in_detail )
fields['datapointFile'] = get_schema_fieldinformation(
'datapoint_file','')
fields['safVersion'] = get_schema_fieldinformation('saf_version','')
fields['screeningFacility'] = get_schema_fieldinformation(
'screening_facility','')
schema['fields'] = OrderedDict(sorted(
fields.items(), key=lambda x: x[0]))
return schema
metadata = read_metadata(book.sheet_by_name('Meta'))
try:
extant_dataset = DataSet.objects.get(
facility_id=metadata['facility_id'])
if (extant_dataset):
logger.warn('deleting extant dataset for facility id: %r' %
metadata['facility_id'])
extant_dataset.delete()
except ObjectDoesNotExist, e:
pass
except Exception, e:
logger.exception('on delete of extant dataset: %r' %
metadata['facility_id'])
raise
dataset = DataSet(**metadata)
logger.info('dataset to save %s' % dataset)
dataset.save()
logger.debug('read data columns...')
col_to_definitions = read_datacolumns(book)
small_molecule_col = None
col_to_dc_map = {}
for i, dc_definition in enumerate(col_to_definitions):
dc_definition['dataset'] = dataset
if (not 'display_order' in dc_definition
or dc_definition['display_order'] == None):
dc_definition['display_order'] = i
datacolumn = DataColumn(**dc_definition)
datacolumn.save()
