Fixed test logs metrics

pytest_tests/testsuites/metrics/test_logs_metrics.py

@@ -31,21 +31,52 @@ class TestLogsMetrics(ClusterTestBase):
     def check_metrics_in_node(self, cluster_node: ClusterNode, restart_time: datetime, log_priority: str = None, **metrics_greps):
         current_time = datetime.now(timezone.utc)
         counter_metrics = get_metrics_value(cluster_node, **metrics_greps)
-        counter_logs = self.get_count_logs_by_level(cluster_node, metrics_greps.get("level"), restart_time, current_time, log_priority)
-        assert counter_logs == counter_metrics, f"counter_logs: {counter_logs}, counter_metrics: {counter_metrics} in node: {cluster_node}"
+        # counter_logs = self.get_count_logs_by_level(cluster_node, metrics_greps.get("level"), restart_time, current_time, log_priority)
+        counter_logs = self.get_logs_count_by_level(cluster_node, metrics_greps.get("level"), restart_time, current_time, log_priority)
+        if counter_metrics + counter_logs < 1000:
+            assert (
+                counter_logs == counter_metrics
+            ), f"counter_logs: {counter_logs}, counter_metrics: {counter_metrics} in node: {cluster_node}"
+        else:
+            assert self.are_numbers_similar(
+                counter_logs, counter_metrics
+            ), f"counter_logs: {counter_logs}, counter_metrics: {counter_metrics} in node: {cluster_node}"
 
     @staticmethod
-    def get_count_logs_by_level(cluster_node: ClusterNode, log_level: str, after_time: datetime, until_time: datetime, log_priority: str):
-        count_logs = 0
+    def are_numbers_similar(num1, num2, tolerance_percentage=1):
+        """
+        if difference of numbers is less than permissible deviation than numbers are similar
+        """
+        # Calculate the permissible deviation
+        average = (num1 + num2) / 2
+        tolerance = average * (tolerance_percentage / 100)
+
+        # Calculate the real difference
+        difference = abs(num1 - num2)
+        return difference <= tolerance
+
+    @staticmethod
+    def get_logs_count_by_level(node: ClusterNode, level: str, since: datetime, until: datetime, priority: str):
         try:
-            logs = cluster_node.host.get_filtered_logs(
-                log_level, unit="frostfs-storage", since=after_time, until=until_time, priority=log_priority
+            result = node.host.get_filtered_logs(
+                filter_regex=level, unit="frostfs-storage", since=since, until=until, priority=priority, calc_count=True
             )
-            result = re.findall(rf"Z\s+{log_level}\s+", logs)
-            count_logs += len(result)
-        except RuntimeError as e:
-            ...
-        return count_logs
+            return int(result)
+        except Exception as e:
+            return e
+
+    # @staticmethod
+    # def get_count_logs_by_level(cluster_node: ClusterNode, log_level: str, after_time: datetime, until_time: datetime, log_priority: str):
+    #     count_logs = 0
+    #     try:
+    #         logs = cluster_node.host.get_filtered_logs(
+    #             log_level, unit="frostfs-storage", since=after_time, until=until_time, priority=log_priority
+    #         )
+    #         result = re.findall(rf"Z\s+{log_level}\s+", logs)
+    #         count_logs += len(result)
+    #     except RuntimeError as e:
+    #         ...
+    #     return count_logs
 
     @allure.title("Metrics for the log counter")
     def test_log_counter_metrics(self, cluster_state_controller: ClusterStateController, revert_all):
@@ -56,12 +87,22 @@ class TestLogsMetrics(ClusterTestBase):
         with reporter.step(f"Check metrics count logs with level 'info'"):
             self.check_metrics_in_node(
                 node,
-                restart_time,
+                restart_time=restart_time,
                 log_priority="6..6",
                 command="frostfs_node_logger_entry_count",
                 level="info",
                 dropped="false",
             )
 
+        with reporter.step(f"Check metrics count logs with level 'error'"):
+            self.check_metrics_in_node(
+                node,
+                restart_time=restart_time,
+                log_priority="3..3",
+                command="frostfs_node_logger_entry_count",
+                level="error",
+                dropped="false",
+            )
+
         with reporter.step(f"Check metrics count logs with level 'error'"):
             self.check_metrics_in_node(node, restart_time, command="frostfs_node_logger_entry_count", level="error", dropped="false")