Prometheus

class gordo.server.prometheus.metrics.GordoServerPrometheusMetrics(args_labels: Iterable[Tuple[str, str]] | None = None, info: Dict[str, str] | None = None, ignore_paths: Iterable[str] | None = None, registry: CollectorRegistry | None = None)

Bases: object

Container for encapsulating all Prometheus related logic The simplest way to use with preexisting Flask application:

>>> from flask import Flask
>>> from prometheus_client.registry import CollectorRegistry
>>> app = Flask("test")
>>> @app.route('/hello')
... def hello():
...     return 'Hello, World'
>>> prometheus_metrics = GordoServerPrometheusMetrics(registry=CollectorRegistry())
>>> prometheus_metrics.prepare_app(app)

init_labels()

static main_label_values(req: Request, resp: Response)

main_labels = ('method', 'path', 'status_code')

prefix = 'gordo_server'

prepare_app(app: Flask)

request_label_values(req: Request, resp: Response)

gordo.server.prometheus.metrics.create_registry()

gordo.server.prometheus.metrics.current_time()

gordo.server.prometheus.metrics.to_status_code(response_status)

gordo.server.prometheus.metrics.url_rule_to_str(url_rule)

gordo.server.prometheus.server.build_app() → Flask

Creating Flask application in order to serve all Prometheus metrics

Returns:

Flask

gordo.server.prometheus.gunicorn_config.child_exit(server, worker)