def test_parse(self):
good = open(GOOD_CSV, 'r')
bad = open(BAD_CSV, 'r')
header = open(HEADER_ONLY_CSV, 'r')
empty = open(EMPTY_CSV, 'r')
blank = open(BLANK_CSV, 'r')
result = parse_csv.parse(good)
self.assertTrue(isinstance(result, list))
self.assertEqual(3, len(result))
self.assertTrue(isinstance(result[0], dict))
self.assertEqual(3, len(result[0]))
self.assertRaises(ValueError, parse_csv.parse, header)
self.assertRaises(Exception, parse_csv.parse, empty)
# Just confirm that zip is producing the appropriately sized
# dictionaries
result = parse_csv.parse(bad)
for item in result[:-1]:
self.assertEqual(3, len(item))
self.assertEqual(2, len(result[3]))
# Lets make sure it appropriately handles CSV's with blank values
result = parse_csv.parse(blank)
self.assertEqual(3, len(result))
for item in result:
self.assertEqual(3, len(item))
def test_parse(self):
good = open(GOOD_CSV, 'r')
bad = open(BAD_CSV, 'r')
header = open(HEADER_ONLY_CSV, 'r')
empty = open(EMPTY_CSV, 'r')
blank = open(BLANK_CSV, 'r')
result = parse_csv.parse(good)
self.assertTrue(isinstance(result, list))
self.assertEqual(3, len(result))
self.assertTrue(isinstance(result[0], dict))
self.assertEqual(3, len(result[0]))
self.assertRaises(ValueError, parse_csv.parse, header)
self.assertRaises(Exception, parse_csv.parse, empty)
# Just confirm that zip is producing the appropriately sized
# dictionaries
result = parse_csv.parse(bad)
for item in result[:-1]:
self.assertEqual(3, len(item))
self.assertEqual(2, len(result[3]))
# Lets make sure it appropriately handles CSV's with blank values
result = parse_csv.parse(blank)
self.assertEqual(3, len(result))
for item in result:
self.assertEqual(3, len(item))
will become a tag-value in FluidDB.
The default version of this function in flimp will attempt to cast the
value into something appropriate - see
flimp.parser.csv_parser.clean_row_item for the source.
"""
# We just want to make sure we return None for empty values. By default
# flimp will ignore tags with None as a value (this can be overridden)
value = item.strip()
if value:
return value
else:
return None
csv_file = open("data.csv", "r")
data = parse_csv.parse(csv_file, clean_header, clean_row_item)
"""
Given the following CSV file:
' Header 1 ':'Header 2':'Header 3/4'
A: B :C
X::Z
and the functions defined above then parse_csv.parse will produce something
like this:
[
{
'Header_3-4': 'C',
'Header_2': 'B',
The default version of this function in flimp will attempt to cast the
value into something appropriate - see
flimp.parser.csv_parser.clean_row_item for the source.
"""
# We just want to make sure we return None for empty values. By default
# flimp will ignore tags with None as a value (this can be overridden)
value = item.strip()
if value:
return value
else:
return None
csv_file = open("data.csv", "r")
data = parse_csv.parse(csv_file, clean_header, clean_row_item)
"""
Given the following CSV file:
' Header 1 ':'Header 2':'Header 3/4'
A: B :C
X::Z
and the functions defined above then parse_csv.parse will produce something
like this:
[
{
'Header_3-4': 'C',
'Header_2': 'B',
'Header_1': 'A'
