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How to use mock_metric_alarm_details method in localstack

Best Python code snippet using localstack_python

test_cloudwatch.py

Source:test_cloudwatch.py

...76        |TEST_3 | - - - - -    | INSUFFICIENT_DATA| Retain state| ALARM     | OK            | 3                    |77        |TEST_4 | 0 X X - X    | ALARM            | ALARM       | ALARM     | ALARM         | 0                    |78        |TEST_5 | - - X - -    | ALARM            | Retain state| ALARM     | OK            | 2 -> Premature alarm |79        """80        def mock_metric_alarm_details(alarm_arn):81            details = {82                "AlarmName": "test-alarm",83                "StateValue": initial_state,84                "TreatMissingData": treat_missing,85                "DatapointsToAlarm": 3,86                "EvaluationPeriods": 3,87                "Period": 5,88                "ComparisonOperator": "LessThanThreshold",89                "Threshold": 2,90            }91            return details92        def mock_collect_metric_data(alarm_details, client):93            if metric_data == self.TEST_1_DATA:94                return [2.5, None, 1, None, 1.7]95            if metric_data == self.TEST_2_DATA:96                return [3.0, None, None, None, None]97            if metric_data == self.TEST_3_DATA:98                return [None, None, None, None, None]99            if metric_data == self.TEST_4_DATA:100                return [3.0, 1.5, 1.0, None, 1.5]101            if metric_data == self.TEST_5_DATA:102                return [None, None, 1.0, None, None]103        run_and_assert_calculate_alarm_state(104            mock_metric_alarm_details, mock_collect_metric_data, expected_calls, expected_state105        )106    @pytest.mark.parametrize(107        "initial_state,expected_state,expected_calls,treat_missing,metric_data",108        [109            # 0 - X - X110            ("OK", "ALARM", 1, "missing", TEST_1_M_OF_N),111            ("OK", "ALARM", 1, "ignore", TEST_1_M_OF_N),112            ("OK", "ALARM", 1, "breaching", TEST_1_M_OF_N),113            ("OK", "ALARM", 1, "notBreaching", TEST_1_M_OF_N),114            # 0 0 X 0 X115            ("OK", "ALARM", 1, "missing", TEST_2_M_OF_N),116            ("OK", "ALARM", 1, "ignore", TEST_2_M_OF_N),117            ("OK", "ALARM", 1, "breaching", TEST_2_M_OF_N),118            ("OK", "ALARM", 1, "notBreaching", TEST_2_M_OF_N),119            # 0 - X - -120            ("INSUFFICIENT_DATA", "OK", 1, "missing", TEST_3_M_OF_N),121            ("INSUFFICIENT_DATA", "OK", 1, "ignore", TEST_3_M_OF_N),122            ("INSUFFICIENT_DATA", "ALARM", 1, "breaching", TEST_3_M_OF_N),123            ("INSUFFICIENT_DATA", "OK", 1, "notBreaching", TEST_3_M_OF_N),124            # - - - - 0125            ("INSUFFICIENT_DATA", "OK", 1, "missing", TEST_4_M_OF_N),126            ("INSUFFICIENT_DATA", "OK", 1, "ignore", TEST_4_M_OF_N),127            ("INSUFFICIENT_DATA", "ALARM", 1, "breaching", TEST_4_M_OF_N),128            ("INSUFFICIENT_DATA", "OK", 1, "notBreaching", TEST_4_M_OF_N),129            # - - - X -130            ("INSUFFICIENT_DATA", "ALARM", 1, "missing", TEST_5_M_OF_N),131            ("INSUFFICIENT_DATA", "INSUFFICIENT_DATA", 0, "ignore", TEST_5_M_OF_N),132            ("INSUFFICIENT_DATA", "ALARM", 1, "breaching", TEST_5_M_OF_N),133            ("INSUFFICIENT_DATA", "OK", 1, "notBreaching", TEST_5_M_OF_N),134        ],135    )136    def test_calculate_alarm_state_2_out_of_3(137        self, initial_state, expected_state, expected_calls, treat_missing, metric_data138    ):139        """140        Tests Table 2 depicted in the docs: https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/AlarmThatSendsEmail.html#alarm-evaluation141        Datapoints to Alarm = 2 and Evaluation Periods = 3142        Cloudwatch uses 5 latest datapoints for evaluation:143        0 = ok144        X = breaking threshold145        - = no data available146        |Test          | Data points  | MISSING          | IGNORE      | BREACHING | NOT BREACHING | # missing datapoints |147        |--------------|--------------|------------------|-------------|-----------|---------------| ---------------------|148        |TEST_1_M_OF_N | 0 - X - X    | ALARM            | ALARM       | ALARM     | ALARM         | 0                    |149        |TEST_2_M_OF_N | 0 0 X 0 X    | ALARM            | ALARM       | ALARM     | ALARM         | 0                    |150        |TEST_3_M_OF_N | 0 - X - -    | OK               | OK          | ALARM     | OK            | 1                    |151        |TEST_4_M_OF_N | - - - - 0    | OK               | OK          | ALARM     | OK            | 2                    |152        |TEST_5_M_OF_N | - - - X -    | ALARM            | Retain state| ALARM     | OK            | 2 -> Premature alarm |153        """154        def mock_metric_alarm_details(alarm_arn):155            details = {156                "AlarmName": "test-alarm",157                "StateValue": initial_state,158                "TreatMissingData": treat_missing,159                "DatapointsToAlarm": 2,160                "EvaluationPeriods": 3,161                "Period": 5,162                "ComparisonOperator": "LessThanThreshold",163                "Threshold": 2,164            }165            return details166        def mock_collect_metric_data(alarm_details, client):167            if metric_data == self.TEST_1_M_OF_N:168                return [2.5, None, 1, None, 1.7]169            if metric_data == self.TEST_2_M_OF_N:170                return [3.0, 4.0, 1.0, 3.5, 1.5]171            if metric_data == self.TEST_3_M_OF_N:172                return [4.0, None, 1.2, None, None]173            if metric_data == self.TEST_4_M_OF_N:174                return [None, None, None, None, 8]175            if metric_data == self.TEST_5_M_OF_N:176                return [None, None, None, 1.0, None]177        run_and_assert_calculate_alarm_state(178            mock_metric_alarm_details, mock_collect_metric_data, expected_calls, expected_state179        )180    def test_calculate_alarm_state_with_datapoints_value_zero(self):181        def mock_metric_alarm_details(alarm_arn):182            details = {183                "AlarmName": "test-alarm",184                "StateValue": "OK",185                "TreatMissingData": "notBreaching",186                "EvaluationPeriods": 1,187                "Period": 5,188                "ComparisonOperator": "LessThanThreshold",189                "Threshold": 1,190            }191            return details192        def mock_collect_metric_data(alarm_details, client):193            return [0.0, None, 0.0]194        run_and_assert_calculate_alarm_state(195            mock_metric_alarm_details, mock_collect_metric_data, 1, "ALARM"...

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