def ingest_tsv(filepath):
log.info('ingesting %s as tsv file', filepath)
save_file_metadata(filepath, status='parsing', filetype='tsv')
with open(filepath, 'rU') as fid:
reader = csv.reader(fid, delimiter='\t')
header = reader.next()
log.debug("%d columns: %s", len(header), ", ".join(header))
if len(header) == 0:
raise ValueError('header row must contain at least one column')
keys = [normalize_column_name(h) for h in header]
def parse(row):
if len(keys) == len(row):
return dict(zip(keys, row))
parsed = [parse(row) for row in reader]
parsed = [v for v in parsed if v is not None]
header = [{'raw': h, 'key': k} for h, k in itertools.izip(header, keys)]
for h in header:
data = [p[h['key']] for p in parsed]
if all(is_boolean(d) for d in data):
h['datatype'] = 'boolean'
elif all(is_numeric(d) for d in data):
h['datatype'] = 'numeric'
else:
h['datatype'] = 'string'
save_file_metadata(filepath, headers=header)
return parsed
def test_neg_booelans( self ):
self.assertFalse( util.is_boolean( "True" ) )
self.assertFalse( util.is_boolean( "abcd" ) )
def test_positive_types( self ):
self.assertTrue( util.is_string( "abcd" ) )
self.assertTrue( util.is_boolean( True ) )
self.assertTrue( util.is_integer( 1234 ) )
self.assertTrue( util.is_list( [1,2,3,4]) )
self.assertTrue( util.is_dict( {"foo":"bar"} ) )