Merge pull request #194 from scrapinghub/more-predictable-strptime-wi…

…th-formats

More predictable strptime like functionality when using date_formats

dateparser/date.py

@@ -343,10 +343,13 @@ def get_date_data(self, date_string, date_formats=None):
             {'date_obj': datetime.datetime(2000, 3, 23, 14, 21), 'period': 'day'}
 
         """
-        try:
-            date_string = date_string.strip()
-        except AttributeError:
+        if not(isinstance(date_string, six.text_type) or isinstance(date_string, six.string_types)):
             raise TypeError('Input type must be str or unicode')
+
+        res = parse_with_formats(date_string, date_formats or [])
+        if res['date_obj']:
+            return res
+
         if self._settings.NORMALIZE:
            date_string = normalize_unicode(date_string)
 

tests/test_date.py

@@ -365,6 +365,8 @@ def test_get_date_data_should_not_strip_timezone_info(self, date_string):
         param(date_string="14 giu 13", date_formats=["%y %B %d"], expected_result=datetime(2014, 6, 13)),
         param(date_string="14_luglio_15", date_formats=["%y_%B_%d"], expected_result=datetime(2014, 7, 15)),
         param(date_string="14_LUGLIO_15", date_formats=["%y_%B_%d"], expected_result=datetime(2014, 7, 15)),
+        param(date_string="02/12/2014 \xe0 15:08", date_formats=["%d/%m/%Y \xe0 %H:%M"], expected_result=datetime(2014, 12, 2, 15, 8)),
+        param(date_string="10.01.2016, 20:35", date_formats=["%d.%m.%Y, %H:%M"], expected_result=datetime(2016, 1, 10, 20, 35)),
     ])
     def test_parse_date_using_format(self, date_string, date_formats, expected_result):
         self.given_local_tz_offset(0)