def _insert_genomic_set_from_row(row, csv_filename, timestamp):
"""Creates a new GenomicSet object from a CSV row.
Raises:
DataError if the row is invalid.
Returns:
A new GenomicSet.
"""
genomic_set_name = row[CsvColumns.GENOMIC_SET_NAME],
set_dao = GenomicSetDao()
genomic_set_version = set_dao.get_new_version_number(genomic_set_name)
kwargs = dict(
genomicSetName=genomic_set_name,
genomicSetCriteria=row[CsvColumns.GENOMIC_SET_CRITERIA],
genomicSetFile=csv_filename,
genomicSetFileTime=timestamp,
genomicSetStatus=GenomicSetStatus.UNSET,
genomicSetVersion=genomic_set_version,
)
genomic_set = GenomicSet(**kwargs)
set_dao.insert(genomic_set)
return genomic_set
def _create_fake_genomic_set(self, genomic_set_name, genomic_set_criteria,
genomic_set_filename):
now = clock.CLOCK.now()
genomic_set = GenomicSet()
genomic_set.genomicSetName = genomic_set_name
genomic_set.genomicSetCriteria = genomic_set_criteria
genomic_set.genomicSetFile = genomic_set_filename
genomic_set.genomicSetFileTime = now
genomic_set.genomicSetStatus = GenomicSetStatus.INVALID
set_dao = GenomicSetDao()
genomic_set.genomicSetVersion = set_dao.get_new_version_number(
genomic_set.genomicSetName)
set_dao.insert(genomic_set)
return genomic_set