Loading src/kpi_manager/service/KpiValueComposer.py +1 −1 Original line number Diff line number Diff line Loading @@ -86,7 +86,7 @@ class KpiValueComposer: sub_names = kpi_value = "" for line in lines: try: if pattern.search(line) and not line.startswith("# HELP") and not line.startswith("# TYPE"): if pattern.search(line) and not line.startswith("# HELP") and not line.startswith("# TYPE") and not 'device="lo"' in line: (kpi_name, kpi_value) = line.split(" ") if kpi_name.endswith('}'): (kpi_name, sub_names) = kpi_name.replace('}','').split('{') Loading src/kpi_manager/service/KpiWriter.py +13 −6 Original line number Diff line number Diff line Loading @@ -76,18 +76,25 @@ class KpiWriter: @staticmethod def write_metric_to_promtheus(event): event = ast.literal_eval(event) # converted into dict print("New recevied event: {:}".format(event['kpi_description'])) print("New recevied event: {:}".format(event)) event_kpi_name = event['kpi_description'] if event_kpi_name in KPIs_TO_SEARCH: PROM_METRICS[event_kpi_name].labels( tag1 = "test tag value", tag2 = "test tag value" ).set(event['kpi_value']) kpi_id = event['kpi_id'], kpi_sample_type = event['kpi_sample_type'], device_id = event['device_id'], endpoint_id = event['endpoint_id'], service_id = event['service_id'], slice_id = event['slice_id'], connection_id = event['connection_id'], link_id = event['link_id'] ).set(float(event['kpi_value'])) time.sleep(0.05) @staticmethod def create_prom_metrics_name(): metric_tags = ["tag1", "tag2"] metric_tags = ['kpi_id','kpi_sample_type','device_id', 'endpoint_id','service_id','slice_id','connection_id','link_id'] for metric_key in KPIs_TO_SEARCH: metric_name = metric_key metric_description = "description of " + str(metric_key) Loading @@ -95,7 +102,7 @@ class KpiWriter: PROM_METRICS[metric_key] = Gauge ( metric_name, metric_description, metric_tags, registry=KAFKA_REGISTERY ) print("Metric pushed to Prometheus: {:}".format(PROM_METRICS[metric_key])) # print("Metric pushed to Prometheus: {:}".format(PROM_METRICS[metric_key])) except ValueError as e: if 'Duplicated timeseries' in str(e): print("Metric {:} is already registered. Skipping.".format(metric_name)) Loading
src/kpi_manager/service/KpiValueComposer.py +1 −1 Original line number Diff line number Diff line Loading @@ -86,7 +86,7 @@ class KpiValueComposer: sub_names = kpi_value = "" for line in lines: try: if pattern.search(line) and not line.startswith("# HELP") and not line.startswith("# TYPE"): if pattern.search(line) and not line.startswith("# HELP") and not line.startswith("# TYPE") and not 'device="lo"' in line: (kpi_name, kpi_value) = line.split(" ") if kpi_name.endswith('}'): (kpi_name, sub_names) = kpi_name.replace('}','').split('{') Loading
src/kpi_manager/service/KpiWriter.py +13 −6 Original line number Diff line number Diff line Loading @@ -76,18 +76,25 @@ class KpiWriter: @staticmethod def write_metric_to_promtheus(event): event = ast.literal_eval(event) # converted into dict print("New recevied event: {:}".format(event['kpi_description'])) print("New recevied event: {:}".format(event)) event_kpi_name = event['kpi_description'] if event_kpi_name in KPIs_TO_SEARCH: PROM_METRICS[event_kpi_name].labels( tag1 = "test tag value", tag2 = "test tag value" ).set(event['kpi_value']) kpi_id = event['kpi_id'], kpi_sample_type = event['kpi_sample_type'], device_id = event['device_id'], endpoint_id = event['endpoint_id'], service_id = event['service_id'], slice_id = event['slice_id'], connection_id = event['connection_id'], link_id = event['link_id'] ).set(float(event['kpi_value'])) time.sleep(0.05) @staticmethod def create_prom_metrics_name(): metric_tags = ["tag1", "tag2"] metric_tags = ['kpi_id','kpi_sample_type','device_id', 'endpoint_id','service_id','slice_id','connection_id','link_id'] for metric_key in KPIs_TO_SEARCH: metric_name = metric_key metric_description = "description of " + str(metric_key) Loading @@ -95,7 +102,7 @@ class KpiWriter: PROM_METRICS[metric_key] = Gauge ( metric_name, metric_description, metric_tags, registry=KAFKA_REGISTERY ) print("Metric pushed to Prometheus: {:}".format(PROM_METRICS[metric_key])) # print("Metric pushed to Prometheus: {:}".format(PROM_METRICS[metric_key])) except ValueError as e: if 'Duplicated timeseries' in str(e): print("Metric {:} is already registered. Skipping.".format(metric_name))