mirror of
https://github.com/camptocamp/odoo-cloud-platform.git
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David Gallay
6f17f3c9e9
Shared gauges mixed data between parallel requests and between databases. This also avoids cleaning up stale series.
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
# Copyright 2016 Camptocamp SA
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# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl.html)
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import logging
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from prometheus_client import REGISTRY, Gauge, generate_latest
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from odoo.http import Controller, request, route
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_logger = logging.getLogger(__name__)
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# Gauges must be instantiated only once per process, registering the same
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# metric name twice raises a "Duplicated timeseries" error.
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_GAUGES = {}
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def _get_gauge(name, documentation, label_names, registry=REGISTRY):
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gauge = _GAUGES.get(name)
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if gauge is None:
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gauge = Gauge(name, documentation, label_names, registry=registry)
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_GAUGES[name] = gauge
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return gauge
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class PrometheusController(Controller):
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@route("/metrics", auth="public")
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def metrics(self):
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# REGISTRY holds the in-process metrics (request latency, longpolling)
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output = generate_latest(REGISTRY)
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try:
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records = request.env["prometheus.metric"].sudo().search([])
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registry = records._build_prometheus_registry()
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output += generate_latest(registry)
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except Exception:
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_logger.exception("Could not publish the gathered Prometheus metrics")
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return output
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