33 lines
1.8 KiB
Python
33 lines
1.8 KiB
Python
from aliyunsdkcore.client import AcsClient
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from aliyunsdkcore.acs_exception.exceptions import ClientException
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from aliyunsdkcore.acs_exception.exceptions import ServerException
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from aliyunsdkcms.request.v20190101.DescribeMetricLastRequest import DescribeMetricLastRequest
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from datetime import datetime
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from units import consul_kv
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import json
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def exporter(vendor,account,region):
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ak,sk = consul_kv.get_aksk(vendor,account)
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client_redismonit = AcsClient(ak, sk, region)
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request_redismonit = DescribeMetricLastRequest()
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request_redismonit.set_accept_format('json')
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request_redismonit.set_Namespace("acs_kvstore")
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metric_name_dict = {"CpuUsage":["# HELP redis_cpu_util CPU使用率","# TYPE redis_cpu_util gauge"],
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"MemoryUsage":["# HELP redis_mem_util 内存使用率","# TYPE redis_mem_util gauge"],
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"ConnectionUsage":["# HELP redis_conn_util 连接数使用率","# TYPE redis_conn_util gauge"],
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"IntranetInRatio":["# HELP redis_netin_util 写入带宽使用率","# TYPE redis_netin_util gauge"],
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"IntranetOutRatio":["# HELP redis_netout_util 读取带宽使用率","# TYPE redis_netout_util gauge"]
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}
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for i in metric_name_dict.keys():
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request_redismonit.set_MetricName(i)
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response_redismonit = json.loads(client_redismonit.do_action_with_exception(request_redismonit))
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instance = json.loads(response_redismonit["Datapoints"])
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prom_metric_name = metric_name_dict[i][0].split()[2]
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for j in instance:
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iid,max,ts = j["instanceId"],j["Maximum"],j["timestamp"]
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metric_name_dict[i].append(f'{prom_metric_name}{{iid="{iid}"}} {float(max)} {ts}')
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prom_metric_list = []
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for x in metric_name_dict.values():
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prom_metric_list = prom_metric_list + x
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return prom_metric_list
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