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89 lines
3.0 KiB
Python
89 lines
3.0 KiB
Python
import http.client
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import json
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import time
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import logging
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from prometheus_client import CollectorRegistry, Gauge, multiprocess, generate_latest
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logger = logging.getLogger(__name__)
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UNIT_CONNECTIONS_ACCEPTED_TOTAL = Gauge(
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"unit_connections_accepted_total",
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"",
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multiprocess_mode="livesum",
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)
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UNIT_CONNECTIONS_ACTIVE = Gauge(
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"unit_connections_active",
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"",
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multiprocess_mode="livesum",
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)
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UNIT_CONNECTIONS_CLOSED = Gauge(
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"unit_connections_closed",
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"",
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multiprocess_mode="livesum",
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)
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UNIT_CONNECTIONS_IDLE = Gauge(
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"unit_connections_idle",
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"",
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multiprocess_mode="livesum",
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)
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UNIT_CONNECTIONS_TOTAL = Gauge(
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"unit_requests_total",
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"",
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multiprocess_mode="livesum",
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)
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UNIT_PROCESSES_RUNNING_GAUGE = Gauge(
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"unit_application_processes_running", "", multiprocess_mode="livesum", labelnames=["application"]
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)
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UNIT_PROCESSES_STARTING_GAUGE = Gauge(
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"unit_application_processes_starting", "", multiprocess_mode="livesum", labelnames=["application"]
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)
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UNIT_PROCESSES_IDLE_GAUGE = Gauge(
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"unit_application_processes_idle", "", multiprocess_mode="livesum", labelnames=["application"]
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)
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UNIT_REQUESTS_ACTIVE_GAUGE = Gauge(
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"unit_application_requests_active", "", multiprocess_mode="livesum", labelnames=["application"]
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)
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def application(environ, start_response):
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retries = 5
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try:
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connection = http.client.HTTPConnection("localhost:8181")
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connection.request("GET", "/status")
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response = connection.getresponse()
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statj = json.loads(response.read())
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except Exception:
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if retries > 0:
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retries -= 1
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time.sleep(1)
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return application(environ, start_response)
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else:
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raise
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finally:
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try:
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connection.close()
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except Exception as e:
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logger.exception("Failed to close connection to unit: ", e)
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UNIT_CONNECTIONS_ACCEPTED_TOTAL.set(statj["connections"]["accepted"])
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UNIT_CONNECTIONS_ACTIVE.set(statj["connections"]["active"])
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UNIT_CONNECTIONS_IDLE.set(statj["connections"]["idle"])
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UNIT_CONNECTIONS_CLOSED.set(statj["connections"]["closed"])
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UNIT_CONNECTIONS_TOTAL.set(statj["requests"]["total"])
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for app in statj["applications"].keys():
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UNIT_PROCESSES_RUNNING_GAUGE.labels(application=app).set(statj["applications"][app]["processes"]["running"])
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UNIT_PROCESSES_STARTING_GAUGE.labels(application=app).set(statj["applications"][app]["processes"]["starting"])
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UNIT_PROCESSES_IDLE_GAUGE.labels(application=app).set(statj["applications"][app]["processes"]["idle"])
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UNIT_REQUESTS_ACTIVE_GAUGE.labels(application=app).set(statj["applications"][app]["requests"]["active"])
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start_response("200 OK", [("Content-Type", "text/plain")])
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# Create the prometheus multi-process metric registry here
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# This will aggregate metrics we send from the Django app
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# We prepend our unit metrics here.
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registry = CollectorRegistry()
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multiprocess.MultiProcessCollector(registry)
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yield generate_latest(registry)
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