add project tag

config.yaml.tpl

@@ -61,6 +61,8 @@ tencent_instances:
     memory_usage_factor: 1
     # 数据库类型，主库(master)or从库(slave), 默认master
     type: master
+    # 所属项目，默认gengmei, 选项 [gengmei/alpha]
+    project: gengmei
 
   instance_id2:
     name: instance_name2

exporter.py

@@ -57,11 +57,11 @@ class TencentExporter(Exporter):
             metricname = metric['name']
             factor = metric.get('factor', None)
             avg_metric_family = GaugeMetricFamily(metricname, metricname, labels=[
-                'rds_name', 'type', 'service_provider'
+                'rds_name', 'type', 'service_provider', 'project'
             ])
             with_factor_metricname = '{}_with_factor'.format(metricname)
             with_factor_metric_family = GaugeMetricFamily(with_factor_metricname, with_factor_metricname, labels=[
-                'rds_name', 'type', 'service_provider'
+                'rds_name', 'type', 'service_provider', 'project'
             ])
 
             for instance_data in instance_data_list:
@@ -70,12 +70,13 @@ class TencentExporter(Exporter):
                 instance = self.instances[instance_id]
                 instance_name = instance['name']
                 instance_type = instance.get('type', 'master')
+                instance_project = instance.get('project', 'gengmei')
                 # 当前queryname，当前rds实例的因子，若没有配置，默认为1
                 rds_factor = instance.get(factor, 1)
                 for value in timestamp_value_dict.values():
-                    avg_metric_family.add_metric([instance_name, instance_type, service_provider], value)
+                    avg_metric_family.add_metric([instance_name, instance_type, service_provider, instance_project], value)
                     with_factor_metric_family.add_metric(
-                        ['{}*{}'.format(instance_name,rds_factor), instance_type, service_provider], 
+                        ['{}*{}'.format(instance_name,rds_factor), instance_type, service_provider, instance_project],
                         value*rds_factor)
             metrics_to_export.extend([avg_metric_family, with_factor_metric_family])