背景形容
如图 想要取到 url get申请的值，应用prometheus blackbox 无奈获取，所以思考应用flask自定义exporter 获取
install 库
pip install prometheus_client flask
from atexit import registerimport mimetypesimport requestsfrom prometheus_client.core import CollectorRegistryfrom prometheus_client import Gauge, Counter, Info, Enum, generate_latest, start_http_serverfrom flask import Response, Flaskmeeting_useroom_url = 'http://10.31.140.24:9000/meeting_use_count/2'json_meeting_count = requests.get(meeting_useroom_url)dic_meeting_count = json_meeting_count.json()meeting_totalroom_url = 'http://10.31.140.24:9000/meeting_rooms'json_totalroom_count = requests.get(meeting_totalroom_url)dic_totalroom_count = json_totalroom_count.json()meeting_totalpersion_url = 'http://10.31.140.24:9000/meeting_persions'json_totalpersion_count = requests.get(meeting_totalpersion_url)dic_totalpersion_count = json_totalpersion_count.json()# 获取源数据，数据源能够是任意接口、数据库、文件等def get_qcloud_data(): data = { 'meeting_count': int(dic_meeting_count), 'room_count': int(dic_totalroom_count), 'persion_count': int(dic_totalpersion_count), 'cbs': 2, 'clb': 3 } return data# 设置metrics# Prometheus提供4种类型Metrics：Counter, Gauge, Summary和Histogram# Counter 累加器，只有inc办法,定义方法指标名，形容，默认增长值是1# Gauge 可任意设置，比方cpu、内存、磁盘等指标，定义方法，指标名，形容，标签# Histogram 分桶统计，对每个桶的数据进行统计# Summary 分位统计，对每个值进行统计registry = CollectorRegistry(auto_describe=False)product_meeting_count = Gauge('product_meeting_count', 'product_usage_meeting_count', ['product'], registry=registry)product_room_count = Gauge('product_room_count', 'product_usage_room_count', ['product'], registry=registry)product_persion_count = Gauge('product_persion_count', 'product_usage_persion_count', ['product'], registry=registry)product_cbs = Gauge('product_cbs', 'product_usage_cbs', ['product'], registry=registry)product_clb = Gauge('product_clb', 'product_usage_clb', ['product'], registry=registry)app = Flask(__name__)@app.route("/metrics")def main(): data = get_qcloud_data() for key, value in data.items(): if key == 'meeting_count': product_meeting_count.labels(product=key).set(value) elif key == 'room_count': product_room_count.labels(product=key).set(value) elif key == 'persion_count': product_persion_count.labels(product=key).set(value) elif key == 'cbs': product_cbs.labels(product=key).set(value) elif key == 'clb': product_clb.labels(product=key).set(value) return Response(generate_latest(registry), mimetype="text/plain")@app.route('/')def index(): print(dic_meeting_count, dic_totalpersion_count, dic_totalroom_count) return "welecome to qcloud export"if __name__ == "__main__": app.run(host="0.0.0.0", port=9117)