def test__percent_recent(self) -> None: # Arrange data = copy.deepcopy(SAMPLE_DATA_RECENT) # Act output = pypistats._percent(data) # Assert assert output == SAMPLE_DATA_RECENT
def test__percent_one_row(self) -> None: # Arrange data = copy.deepcopy(SAMPLE_DATA_ONE_ROW) # Act output = pypistats._percent(data) # Assert assert output == SAMPLE_DATA_ONE_ROW
def test__percent_recent(self): # Arrange data = copy.deepcopy(SAMPLE_DATA_RECENT) # Act output = pypistats._percent(data) # Assert self.assertEqual(output, SAMPLE_DATA_RECENT)
def test__percent_one_row(self): # Arrange data = copy.deepcopy(SAMPLE_DATA_ONE_ROW) # Act output = pypistats._percent(data) # Assert self.assertEqual(output, SAMPLE_DATA_ONE_ROW)
def test__percent(self) -> None: # Arrange data = [ { "category": "2.7", "downloads": 63749 }, { "category": "3.6", "downloads": 35274 }, { "category": "2.6", "downloads": 51 }, { "category": "3.2", "downloads": 2 }, ] expected_output = [ { "category": "2.7", "percent": "64.34%", "downloads": 63749 }, { "category": "3.6", "percent": "35.60%", "downloads": 35274 }, { "category": "2.6", "percent": "0.05%", "downloads": 51 }, { "category": "3.2", "percent": "0.00%", "downloads": 2 }, ] # Act output = pypistats._percent(data) # Assert assert output == expected_output
def test__colourify(self) -> None: # Arrange data = [ { "category": "2.7", "downloads": 1 }, { "category": "3.5", "downloads": 10 }, { "category": "3.10", "downloads": 89 }, ] expected_output = [ # red { "category": "2.7", "downloads": 1, "percent": "\x1b[31m1.00%\x1b[0m" }, # yellow { "category": "3.5", "downloads": 10, "percent": "\x1b[33m10.00%\x1b[0m" }, # green { "category": "3.10", "downloads": 89, "percent": "\x1b[32m89.00%\x1b[0m" }, { "category": "Total", "downloads": 100 }, ] data = pypistats._percent(data) data = pypistats._grand_total(data) # Act output = pypistats._colourify(data) # Assert assert output == expected_output