Prometheus 如何使用 start_http_server 在多进程应用程序中公开指标

Pav*_*tov 6 python multiprocessing multiprocess prometheus

如何使用 start_http_server 公开多进程应用程序中的指标

我在互联网上找到了很多gunicorn的例子,但我想使用start_http_server

我应该如何处理下面的代码才能使其正常工作?

from multiprocessing import Process
import time, os
from prometheus_client import start_http_server, multiprocess, CollectorRegistry, Counter


MY_COUNTER = Counter('my_counter', 'Description of my counter')
os.environ["PROMETHEUS_MULTIPROC_DIR"] = "tmp"

def f():
    print("+1")
    MY_COUNTER.inc()

if __name__ == '__main__':
    start_http_server(8000)
    p = Process(target=f, args=())
    a = p.start()
    p2 = Process(target=f, args=())
    p2.start()
    time.sleep(1)
    print("collect")
    registry = CollectorRegistry()
    data = multiprocess.MultiProcessCollector(registry)
    while True:
        time.sleep(1)
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pot*_*non 12

我也在想同样的事情,解决方案就像你想象的那么简单。

更新了您的示例代码以使其正常工作:


from multiprocessing import Process
import shutil
import time, os
from prometheus_client import start_http_server, multiprocess, CollectorRegistry, Counter


# ensure variable exists, and ensure defined folder is clean on start
prome_stats = os.environ["PROMETHEUS_MULTIPROC_DIR"]
if os.path.exists(prome_stats):
    shutil.rmtree(prome_stats)
os.mkdir(prome_stats)

MY_COUNTER = Counter('my_counter', 'Description of my counter')

def f():
    while True:
        time.sleep(1)
        print("+1")
        MY_COUNTER.inc()

if __name__ == '__main__':

    # pass the registry to server
    registry = CollectorRegistry()
    multiprocess.MultiProcessCollector(registry)
    start_http_server(8000, registry=registry)

    p = Process(target=f, args=())
    a = p.start()
    p2 = Process(target=f, args=())
    p2.start()

    print("collect")

    while True:
        time.sleep(1)

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localhost:8000/metrics
# HELP my_counter_total Multiprocess metric
# TYPE my_counter_total counter
my_counter_total 16.0
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