from huaweicloudsdkcore.auth.credentials import BasicCredentials from huaweicloudsdkces.v1.region.ces_region import CesRegion from huaweicloudsdkces.v1 import * from datetime import datetime from units import consul_kv def exporter(vendor,account,region): ak,sk = consul_kv.get_aksk(vendor,account) credentials = BasicCredentials(ak, sk) client = CesClient.new_builder() \ .with_credentials(credentials) \ .with_region(CesRegion.value_of(region)) \ .build() metric_name_dict = {"cpu_usage":["# HELP redis_cpu_util CPU使用率","# TYPE redis_cpu_util gauge"], "memory_usage":["# HELP redis_mem_util 内存使用率","# TYPE redis_mem_util gauge"], "keyspace_hits_perc":["# HELP redis_hits_util 缓存命中率","# TYPE redis_hits_util gauge"], "total_connections_received":["# HELP redis_newconn_count 每分钟新建的连接数","# TYPE redis_newconn_count gauge"], "rx_controlled":["# HELP redis_rx_controlled 每分钟被流控的次数","# TYPE redis_rx_controlled gauge"], "is_slow_log_exist":["# HELP redis_slow_log 慢日志情况","# TYPE redis_slow_log gauge"], } metric_body_list = [] now = int(datetime.now().timestamp()*1000) redis_list = consul_kv.get_services_list_by_region(f'{vendor}_{account}_redis',region) for i in metric_name_dict.keys(): for id in redis_list: metric_body_list.append(MetricInfo(namespace="SYS.DCS",metric_name=i,dimensions=[MetricsDimension(name="dcs_instance_id",value=id)])) request = BatchListMetricDataRequest() request.body = BatchListMetricDataRequestBody(to=now,_from=now-180000,filter="max",period="1",metrics=metric_body_list) response = client.batch_list_metric_data(request).to_dict() for i in response['metrics']: id= i['dimensions'][0]['value'] try: value = i['datapoints'][-1]['max'] ts = i['datapoints'][-1]['timestamp'] except: value = -1 ts = now metric = i['metric_name'] prom_metric_name = metric_name_dict[metric][0].split()[2] metric_name_dict[metric].append(f'{prom_metric_name}{{iid="{id}"}} {float(value)} {ts}') prom_metric_list = [] for x in metric_name_dict.values(): prom_metric_list = prom_metric_list + x return prom_metric_list