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test_typeinference.py
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test_typeinference.py
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#!/usr/bin/env python
import datetime
from types import NoneType
import unittest
from csvkit import typeinference
from csvkit.exceptions import InvalidValueForTypeException, InvalidValueForTypeListException
class TestNormalizeType(unittest.TestCase):
def test_nulls(self):
self.assertEqual((NoneType, [None, None, None, None, None, None]), typeinference.normalize_column_type([u'n/a', u'NA', u'.', u'null', u'none', u'']))
def test_nulls_coerce(self):
self.assertEqual((NoneType, [None, None, None, None, None, None]), typeinference.normalize_column_type([u'n/a', u'NA', u'.', u'null', u'none', u''], normal_type=NoneType))
def test_nulls_coerce_fail(self):
try:
typeinference.normalize_column_type([u'n/a', u'NA', u'.', u'1.7', u'none', u''], normal_type=NoneType)
except InvalidValueForTypeException, e:
self.assertEqual(e.index, 3)
self.assertEqual(e.value, '1.7')
self.assertEqual(e.normal_type, NoneType)
else:
raise AssertionError('Expected InvalidValueForTypeException')
def test_ints(self):
self.assertEqual((int, [1, -87, 418000000, None]), typeinference.normalize_column_type([u'1', u'-87', u'418000000', u'']))
def test_ints_coerce(self):
self.assertEqual((int, [1, -87, 418000000, None]), typeinference.normalize_column_type([u'1', u'-87', u'418000000', u''], normal_type=int))
def test_ints_coerce_fail(self):
try:
typeinference.normalize_column_type([u'1', u'-87', u'418000000', u'', u'TRUE'], normal_type=int)
except InvalidValueForTypeException, e:
self.assertEqual(e.index, 4)
self.assertEqual(e.value, 'TRUE')
self.assertEqual(e.normal_type, int)
else:
raise AssertionError('Expected InvalidValueForTypeException')
def test_padded_ints(self):
self.assertEqual((unicode, [u'0001', u'0997', u'8.7', None]), typeinference.normalize_column_type([u'0001', u'0997', u'8.7', u'']))
def test_padded_ints_coerce(self):
self.assertEqual((unicode, [u'0001', u'0997', u'8.7', None]), typeinference.normalize_column_type([u'0001', u'0997', u'8.7', u''], normal_type='unicode'))
def test_padded_ints_coerce_fail(self):
try:
typeinference.normalize_column_type([u'0001', u'0997', u'8.7', u''], normal_type=int)
except InvalidValueForTypeException, e:
self.assertEqual(e.index, 0)
self.assertEqual(e.value, '0001')
self.assertEqual(e.normal_type, int)
else:
raise AssertionError('Expected InvalidValueForTypeException')
def test_comma_ints(self):
self.assertEqual((int, [1, -87, 418000000, None]), typeinference.normalize_column_type([u'1', u'-87', u'418,000,000', u'']))
def test_floats(self):
self.assertEqual((float, [1.01, -87.413, 418000000.0, None]), typeinference.normalize_column_type([u'1.01', u'-87.413', u'418000000.0', u'']))
def test_floats_coerce(self):
self.assertEqual((float, [1.01, -87.413, 418000000.0, None]), typeinference.normalize_column_type([u'1.01', u'-87.413', u'418000000.0', u''], normal_type=float))
def test_floats_coerce_fail(self):
try:
typeinference.normalize_column_type([u'1', u'-87.413', u'418000000.0', u'Hello, world!'], normal_type=float)
except InvalidValueForTypeException, e:
self.assertEqual(e.index, 3)
self.assertEqual(e.value, 'Hello, world!')
self.assertEqual(e.normal_type, float)
else:
raise AssertionError('Expected InvalidValueForTypeException')
def test_comma_floats(self):
self.assertEqual((float, [1.01, -87.413, 418000000.0, None]), typeinference.normalize_column_type([u'1.01', u'-87.413', u'418,000,000.0', u'']))
def test_strings(self):
self.assertEqual((unicode, [u'Chicago Tribune', u'435 N Michigan ave', u'Chicago, IL', None]), typeinference.normalize_column_type([u'Chicago Tribune', u'435 N Michigan ave', u'Chicago, IL', u'']))
def test_strings_with_nulls(self):
self.assertEqual((unicode, [u'A', None, u'C', None]), typeinference.normalize_column_type([u'A', u'', u'C', None], blanks_as_nulls=True))
def test_strings_with_blanks(self):
self.assertEqual((unicode, [u'A', u'', u'C', None]), typeinference.normalize_column_type([u'A', u'', u'C', None], blanks_as_nulls=False))
def test_strings_coerce(self):
self.assertEqual((unicode, [u'Chicago Tribune', u'435 N Michigan ave', u'Chicago, IL', None]), typeinference.normalize_column_type([u'Chicago Tribune', u'435 N Michigan ave', u'Chicago, IL', u''], normal_type=unicode))
def test_ints_floats(self):
self.assertEqual((float, [1.01, -87, 418000000, None]), typeinference.normalize_column_type([u'1.01', u'-87', u'418000000', u'']))
def test_mixed(self):
self.assertEqual((unicode, [u'Chicago Tribune', u'-87.413', u'418000000', None]), typeinference.normalize_column_type([u'Chicago Tribune', u'-87.413', u'418000000', u'']))
def test_booleans(self):
self.assertEqual((bool, [False, True, False, True, None]), typeinference.normalize_column_type([u'False', u'TRUE', u'FALSE', u'yes', u'']))
def test_booleans_coerce(self):
self.assertEqual((bool, [False, True, False, True, None]), typeinference.normalize_column_type([u'False', u'TRUE', u'FALSE', u'yes', u''], normal_type=bool))
def test_booleans_coerce_fail(self):
try:
typeinference.normalize_column_type([u'False', u'TRUE', u'FALSE', u'17', u''], normal_type=bool)
except InvalidValueForTypeException, e:
self.assertEqual(e.index, 3)
self.assertEqual(e.value, '17')
self.assertEqual(e.normal_type, bool)
else:
raise AssertionError('Expected InvalidValueForTypeException')
def test_datetimes(self):
self.assertEqual((datetime.datetime, [datetime.datetime(2008, 1, 1, 4, 40, 0), datetime.datetime(2010, 1, 27, 3, 45, 0), datetime.datetime(2008, 3, 1, 16, 14, 45), None]), typeinference.normalize_column_type([u'Jan 1, 2008 at 4:40 AM', u'2010-01-27T03:45:00', u'3/1/08 16:14:45', u'']))
def test_datetimes_coerce(self):
self.assertEqual((datetime.datetime, [datetime.datetime(2008, 1, 1, 4, 40, 0), datetime.datetime(2010, 1, 27, 3, 45, 0), datetime.datetime(2008, 3, 1, 16, 14, 45), None]), typeinference.normalize_column_type([u'Jan 1, 2008 at 4:40 AM', u'2010-01-27T03:45:00', u'3/1/08 16:14:45', u''], normal_type=datetime.datetime))
def test_datetimes_coerce_fail(self):
try:
typeinference.normalize_column_type([u'Jan 1, 2008 at 4:40 AM', u'2010-01-27T03:45:00', u'3/1/08 16:14:45', u'4:45 AM'], normal_type=datetime.datetime)
except InvalidValueForTypeException, e:
self.assertEqual(e.index, 3)
self.assertEqual(e.value, '4:45 AM')
self.assertEqual(e.normal_type, datetime.datetime)
else:
raise AssertionError('Expected InvalidValueForTypeException')
def test_dates(self):
self.assertEqual((datetime.date, [datetime.date(2008, 1, 1), datetime.date(2010, 1, 27), datetime.date(2008, 3, 1), None]), typeinference.normalize_column_type([u'Jan 1, 2008', u'2010-01-27', u'3/1/08', u'']))
def test_dates_coerce(self):
self.assertEqual((datetime.date, [datetime.date(2008, 1, 1), datetime.date(2010, 1, 27), datetime.date(2008, 3, 1), None]), typeinference.normalize_column_type([u'Jan 1, 2008', u'2010-01-27', u'3/1/08', u''], normal_type=datetime.date))
def test_dates_coerce_fail(self):
try:
typeinference.normalize_column_type([u'Jan 1, 2008 at 4:40 AM', u'2010-01-27T03:45:00', u'3/1/08 16:14:45', u'4:45 AM'], normal_type=datetime.datetime)
except InvalidValueForTypeException, e:
self.assertEqual(e.index, 3)
self.assertEqual(e.value, '4:45 AM')
self.assertEqual(e.normal_type, datetime.datetime)
else:
raise AssertionError('Expected InvalidValueForTypeException')
def test_times(self):
self.assertEqual((datetime.time, [datetime.time(4, 40, 0), datetime.time(3, 45, 0), datetime.time(16, 14, 45), None]), typeinference.normalize_column_type([u'4:40 AM', u'03:45:00', u'16:14:45', u'']))
def test_times_coerce(self):
self.assertEqual((datetime.time, [datetime.time(4, 40, 0), datetime.time(3, 45, 0), datetime.time(16, 14, 45), None]), typeinference.normalize_column_type([u'4:40 AM', u'03:45:00', u'16:14:45', u''], normal_type=datetime.time))
def test_times_coerce_fail(self):
try:
typeinference.normalize_column_type([u'4:40 AM', u'03:45:00', u'16:14:45', u'1,000,000'], normal_type=datetime.time)
except InvalidValueForTypeException, e:
self.assertEqual(e.index, 3)
self.assertEqual(e.value, '1,000,000')
self.assertEqual(e.normal_type, datetime.time)
else:
raise AssertionError('Expected InvalidValueForTypeException')
def test_dates_and_times(self):
self.assertEqual((unicode, [u'Jan 1, 2008', u'2010-01-27', u'16:14:45', None]), typeinference.normalize_column_type([u'Jan 1, 2008', u'2010-01-27', u'16:14:45', u'']))
def test_datetimes_and_dates(self):
self.assertEqual((datetime.datetime, [datetime.datetime(2008, 1, 1, 4, 40, 0), datetime.datetime(2010, 1, 27, 3, 45, 0), datetime.datetime(2008, 3, 1, 0, 0, 0), None]), typeinference.normalize_column_type([u'Jan 1, 2008 at 4:40 AM', u'2010-01-27T03:45:00', u'3/1/08', u'']))
def test_datetimes_and_dates_coerce(self):
self.assertEqual((datetime.datetime, [datetime.datetime(2008, 1, 1, 4, 40, 0), datetime.datetime(2010, 1, 27, 3, 45, 0), datetime.datetime(2008, 3, 1, 0, 0, 0), None]), typeinference.normalize_column_type([u'Jan 1, 2008 at 4:40 AM', u'2010-01-27T03:45:00', u'3/1/08', u''], normal_type=datetime.datetime))
def test_datetimes_and_times(self):
self.assertEqual((unicode, [u'Jan 1, 2008 at 4:40 AM', u'2010-01-27T03:45:00', u'16:14:45', None]), typeinference.normalize_column_type([u'Jan 1, 2008 at 4:40 AM', u'2010-01-27T03:45:00', u'16:14:45', u'']))
def test_jeremy_singer_vine_datetimes(self):
"""
This obscure test named after Jeremy Singer-Vine, who discovered it.
"""
self.assertEqual((unicode, [u'P', u'H', u'H']), typeinference.normalize_column_type([u'P', u'H', u'H']))
def test_normalize_table(self):
expected_types = [unicode, int, float, NoneType]
data = [
[u'a', u'1', u'2.1', u''],
[u'b', u'5', u'4.1'],
[u'c', u'100', u'100.9999', u''],
[u'd', u'2', u'5.3', u'']
]
types, columns = typeinference.normalize_table(data)
self.assertEqual(4, len(types))
self.assertEqual(4, len(columns))
for i, tup in enumerate(zip(columns, types, expected_types)):
c, t, et = tup
self.assertEqual(et, t)
for row, normalized in zip(data, c):
if t is NoneType:
self.assertTrue(normalized is None)
else:
self.assertEqual(t(row[i]), normalized)
def test_normalize_table_known_types(self):
normal_types = [unicode, int, float, NoneType]
data = [
[u'a', u'1', u'2.1', u''],
[u'b', u'5', u'4.1'],
[u'c', u'100', u'100.9999', u''],
[u'd', u'2', u'5.3', u'']
]
types, columns = typeinference.normalize_table(data, normal_types)
self.assertEqual(4, len(types))
self.assertEqual(4, len(columns))
for i, tup in enumerate(zip(columns, types, normal_types)):
c, t, et = tup
self.assertEqual(et, t)
for row, normalized in zip(data, c):
if t is NoneType:
self.assertTrue(normalized is None)
else:
self.assertEqual(t(row[i]), normalized)
def test_normalize_table_known_types_invalid(self):
normal_types = [bool, int, int, NoneType]
data = [
[u'a', u'1', u'2.1', u''],
[u'b', u'5', u'4.1'],
[u'c', u'100', u'100.9999', u''],
[u'd', u'2', u'5.3', u'']
]
try:
typeinference.normalize_table(data, normal_types, accumulate_errors=True)
self.assertEqual(True, False)
except InvalidValueForTypeListException, e:
self.assertEqual(len(e.errors), 2)
self.assertEqual(e.errors[0].index, 0)
self.assertEqual(e.errors[0].value, 'a')
self.assertEqual(e.errors[0].normal_type, bool)
self.assertEqual(e.errors[2].index, 0)
self.assertEqual(e.errors[2].value, '2.1')
self.assertEqual(e.errors[2].normal_type, int)