Ejemplo n.º 1
0
 def test_create_name_for_output_file(self):
     comparable_a = Compare()
     comparable_b = Compare()
     comparable_a.file_name = "my_first_file"
     comparable_b.file_name = "my_second_file"
     Compare.output_path = "./"
     data_exporter.create_name_for_output_file(comparable_a, comparable_b)
     my_string = "F1_" + comparable_a.file_name + "_F2_" + comparable_a.file_name
     assert Compare.output_file_name.find(my_string)
 def test_check_for_delimiter(self):
     comparable = Compare()
     comparable.file_name = os.path.join(self.MOCK_DATA_DIR,
                                         "simple_csv_file.csv")
     comparable.encoding = "utf-8"
     comparable.delimiter = ","
     assert input_validator.check_for_delimiter(comparable) is None
 def test_check_for_input_file_existence_when_file_exist(self, mock_isfile):
     comparator_obj = Compare()
     comparator_obj.file_name = mock_input_dict.parameter_for_input_file_existence[
         "file_1_name"]
     mock_isfile.return_value = True
     assert input_validator.check_for_input_file_existence(
         comparator_obj) is None
 def test_check_for_non_comma_delimiter(self):
     comparable = Compare()
     comparable.file_name = os.path.join(self.MOCK_DATA_DIR,
                                         "none_csv_file.txt")
     comparable.encoding = "utf-8"
     comparable.delimiter = ","
     with pytest.raises(AppErrorHandler):
         input_validator.check_for_delimiter(comparable)
 def test_get_file_encoding_for_failing_encoding_cases(self):
     failing_encoding_names = self.create_mock_data_file_for_encoding_types(
         "failing_encoding_names.csv")
     comparator_obj = Compare()
     for encoding_val in failing_encoding_names:
         with pytest.raises(AppErrorHandler):
             mock_file_path = os.path.join(self.MOCK_DATA_DIR,
                                           f'{encoding_val}.csv')
             comparator_obj.file_name = mock_file_path
             input_validator.set_file_encoding(comparator_obj)
 def test_check_for_output_file_write_access_when_file_is_not_writeable(
         self, mock_os_access):
     comparator_obj = Compare()
     comparator_obj.file_name = mock_input_dict.parameter_for_input_file_existence[
         "file_1_name"]
     mock_os_access.return_value = False
     with pytest.raises(AppErrorHandler):
         input_validator.check_for_file_write_access(comparator_obj)
         mock_os_access.assert_called_once_with(
             f'os.access({comparator_obj}, os.W_OK)')
 def test_check_for_input_file_existence_when_file_does_not_exist(
         self, mock_isfile):
     comparator_obj = Compare()
     comparator_obj.file_name = mock_input_dict.parameter_for_input_file_existence[
         "file_1_name"]
     mock_isfile.return_value = False
     with pytest.raises(AppErrorHandler):
         input_validator.check_for_input_file_existence(comparator_obj)
         mock_isfile.assert_called_once_with(
             f'os.path.isfile({comparator_obj})')
    def comparable(self, request):
        f_path, f_name = os.path.split(os.path.abspath(__file__))
        mock_data_dir = os.path.join(f_path, os.pardir, 'mock_data')
        comparable_obj = Compare()
        for name in request.param:
            setattr(comparable_obj, name, request.param[name])

        if "file_name" in request.param:
            comparable_obj.file_name = os.path.join(mock_data_dir, f'{request.param["file_name"]}')

        return comparable_obj
 def test_verify_file_encoding_when_can_detect_encoding(self):
     not_able_to_detect_encoding_names = self.create_mock_data_file_for_encoding_types(
         "failing_encoding_names.csv")
     comparator_obj = Compare()
     for encoding_val in not_able_to_detect_encoding_names:
         mock_file_path = os.path.join(self.MOCK_DATA_DIR,
                                       f'{encoding_val}.csv')
         comparator_obj.file_name = mock_file_path
         comparator_obj.encoding = encoding_val
         assert input_validator.check_for_file_encoding(
             comparator_obj) is None
 def test_verify_file_encoding_when_can_not_detect_encoding(self):
     not_able_to_detect_encoding_names = self.create_mock_data_file_for_encoding_types(
         "failing_encoding_names.csv")
     comparator_obj = Compare()
     for encoding_val in not_able_to_detect_encoding_names:
         with pytest.raises(AppErrorHandler):
             mock_file_path = os.path.join(self.MOCK_DATA_DIR,
                                           f'{encoding_val}.csv')
             comparator_obj.file_name = mock_file_path
             comparator_obj.encoding = 'ascii'
             input_validator.check_for_file_encoding(comparator_obj)
    def test_get_file_encoding_for_most_of_the_cases(self):
        import codecs
        passing_encoding_names = self.create_mock_data_file_for_encoding_types(
            "encoding_names.csv")
        rows = self.MOCK_DATA.split('\n')
        comparator_obj = Compare()

        for encoding_val in passing_encoding_names:
            mock_file_path = os.path.join(self.MOCK_DATA_DIR,
                                          f'{encoding_val}.csv')
            comparator_obj.file_name = mock_file_path
            input_validator.set_file_encoding(comparator_obj)
            with codecs.open(mock_file_path,
                             'r',
                             encoding=comparator_obj.encoding) as f:
                for line in f:
                    assert line.strip() in rows
Ejemplo n.º 12
0
 def test_extract_file_name_from_path_long_name(self):
     comparable = Compare()
     comparable.file_name = "/path/to/directory/" \
                            "this_is_a_very_long_file_name_that_must_be_truncated.csv"
     actual = data_exporter.extract_file_name_from_path(comparable)
     assert "this_is_a_very_" == actual
Ejemplo n.º 13
0
 def test_extract_file_name_from_path(self):
     comparable = Compare()
     comparable.file_name = "/path/to/directory/my_file.csv"
     actual = data_exporter.extract_file_name_from_path(comparable)
     assert "my_file_csv" == actual
 def test_check_for_file_size_to_not_be_zero_for_small_file(
         self, file_name):
     comparable = Compare()
     comparable.file_name = os.path.join(self.MOCK_DATA_DIR, f'{file_name}')
     assert input_validator.check_for_file_size(comparable) is None
 def test_get_file_encoding(self, file_name, expected_encoding):
     my_data_path = os.path.join(self.MOCK_DATA_DIR, file_name)
     comparator_obj = Compare()
     comparator_obj.file_name = my_data_path
     input_validator.set_file_encoding(comparator_obj)
     assert comparator_obj.encoding == expected_encoding.lower()
 def test_get_file_encoding_when_file_is_empty(self, file_name):
     my_data_path = os.path.join(self.MOCK_DATA_DIR, file_name)
     comparator_obj = Compare()
     comparator_obj.file_name = my_data_path
     with pytest.raises(AppErrorHandler):
         assert input_validator.set_file_encoding(comparator_obj)
Ejemplo n.º 17
0
    def test_create_the_entire_excel_file(self):
        comparable_1 = Compare()
        comparable_2 = Compare()

        comparable_1.order = 0

        comparable_1.start_column = 1
        comparable_1.end_column = 12
        comparable_1.index_column_start = 1
        comparable_1.index_column_end = 1
        comparable_1.checked_column_start = 2
        comparable_1.checked_column_end = 3
        comparable_1.not_checked_column_start = 4
        comparable_1.not_checked_column_end = 5
        comparable_1.disjunctive_column_start = 6
        comparable_1.disjunctive_column_end = 7
        comparable_1.duplicate_column_start = 8
        comparable_1.duplicate_column_end = 9
        comparable_1.unnamed_column_start = 10
        comparable_1.unnamed_column_end = 11

        comparable_1.file_name = "/path/to.my/file/my_first_file___1.csv"
        comparable_1.header = [
            {
                "column_name": "id",
                "column_location": 1,
                "column_type": "index"
            },
            {
                "column_name": "first_name",
                "column_location": 2,
                "column_type": "not_checked"
            },
            {
                "column_name": "last_name(@duplicate)",
                "column_location": 3,
                "column_type": "duplicate"
            },
            {
                "column_name": "last_name(@duplicate)",
                "column_location": 4,
                "column_type": "duplicate"
            },
            {
                "column_name": "requirement1",
                "column_location": 5,
                "column_type": "mapped"
            },
            {
                "column_name": "requirement2",
                "column_location": 6,
                "column_type": "mapped"
            },
            {
                "column_name": "alternate_name",
                "column_location": 7,
                "column_type": "not_checked"
            },
            {
                "column_name": "@unnamed",
                "column_location": 8,
                "column_type": "unnamed"
            },
            {
                "column_name": "@unnamed",
                "column_location": 9,
                "column_type": "unnamed"
            },
            {
                "column_name": "some_name(@NotFound)",
                "column_location": 10,
                "column_type": "disjunctive"
            },
            {
                "column_name": "some_name(@NotFound)",
                "column_location": 11,
                "column_type": "disjunctive"
            },
        ]
        comparable_1.index_column_name = [{
            "column_name": "id",
            "column_location": 1,
            "column_type": ""
        }]

        comparable_2.header = [
            {
                "column_name": "id",
                "column_location": 1,
                "column_type": "index"
            },
            {
                "column_name": "first_name",
                "column_location": 2,
                "column_type": "not_checked"
            },
            {
                "column_name": "last_name(@duplicate.4)",
                "column_location": 4,
                "column_type": "duplicate"
            },
            {
                "column_name": "last_name(@duplicate.3)",
                "column_location": 3,
                "column_type": "duplicate"
            },
            {
                "column_name": "requirement1",
                "column_location": 5,
                "column_type": "mapped"
            },
            {
                "column_name": "requirement2",
                "column_location": 6,
                "column_type": "mapped"
            },
            {
                "column_name": "alternate_name",
                "column_location": 7,
                "column_type": "not_checked"
            },
            {
                "column_name": "@unnamed.8",
                "column_location": 8,
                "column_type": "unnamed"
            },
            {
                "column_name": "@unnamed.9",
                "column_location": 9,
                "column_type": "unnamed"
            },
            {
                "column_name": "some_name(@NotFound.10)",
                "column_location": 10,
                "column_type": "disjunctive"
            },
            {
                "column_name": "some_name(@NotFound.11)",
                "column_location": 11,
                "column_type": "disjunctive"
            },
        ]

        comparable_2.index_column_name = [{
            "column_name": "id",
            "column_location": 1,
            "column_type": ""
        }]

        comparable_2.order = 1
        comparable_2.start_column = 12
        comparable_2.end_column = 22

        comparable_2.index_column_start = 12
        comparable_2.index_column_end = 12
        comparable_2.checked_column_start = 13
        comparable_2.checked_column_end = 14
        comparable_2.not_checked_column_start = 15
        comparable_2.not_checked_column_end = 16
        comparable_2.disjunctive_column_start = 17
        comparable_2.disjunctive_column_end = 18
        comparable_2.duplicate_column_start = 19
        comparable_2.duplicate_column_end = 20
        comparable_2.unnamed_column_start = 21
        comparable_2.unnamed_column_end = 22

        comparable_2.hide_duplicate_columns = True
        comparable_2.hide_unnamed_columns = True
        comparable_2.hide_disjunctive_columns = True

        comparable_2.file_name = "/path/to.my/file/my_second_file__2.csv"

        Compare.output_path = "./"
        Compare.worksheet_name = "Master"

        data_exporter.create_name_for_output_file(comparable_1, comparable_2)
        data_exporter.create_excel_workbook()
        data_exporter.create_excel_worksheet()
        data_exporter.add_local_excel_format([comparable_1, comparable_2])
        data_exporter.apply_column_general_format([comparable_1, comparable_2])
        data_exporter.write_file_name_label()
        data_exporter.write_file_name_title([comparable_1, comparable_2])
        data_exporter.write_column_type_label()
        data_exporter.write_index_column_type_title(
            [comparable_1, comparable_2])
        data_exporter.write_checked_column_type_title(
            [comparable_1, comparable_2])
        data_exporter.write_not_checked_column_type_title(
            [comparable_1, comparable_2])
        data_exporter.write_disjunctive_column_type_title(
            [comparable_1, comparable_2])
        data_exporter.write_duplicate_column_type_title(
            [comparable_1, comparable_2])
        data_exporter.write_unnamed_column_type_title(
            [comparable_1, comparable_2])

        data_exporter.apply_checked_column_hide_condition(
            [comparable_1, comparable_2])
        data_exporter.apply_not_checked_column_hide_condition(
            [comparable_1, comparable_2])
        data_exporter.apply_disjunctive_column_hide_condition(
            [comparable_1, comparable_2])
        data_exporter.apply_duplicate_column_hide_condition(
            [comparable_1, comparable_2])
        data_exporter.apply_unnamed_column_hide_condition(
            [comparable_1, comparable_2])

        data_exporter.write_column_name_label()
        data_exporter.write_index_column_name([comparable_1, comparable_2])
        data_exporter.write_checked_column_name([comparable_1, comparable_2])
        data_exporter.write_not_checked_column_name(
            [comparable_1, comparable_2])
        data_exporter.write_disjunctive_column_name(
            [comparable_1, comparable_2])
        data_exporter.write_duplicate_column_name([comparable_1, comparable_2])
        data_exporter.write_unnamed_column_name([comparable_1, comparable_2])
        data_exporter.close_excel_workbook()
 def test_check_for_file_size_to_not_be_zero_for_empty_file(
         self, file_name):
     comparable = Compare()
     comparable.file_name = os.path.join(self.MOCK_DATA_DIR, f'{file_name}')
     with pytest.raises(AppErrorHandler):
         input_validator.check_for_file_size(comparable)