Пример #1
0
    async def route_metrics(graph, request: Request, call_next):
        response = await call_next(request)

        if getattr(request.state, "request_info", None):
            request_info: RequestInfo = request.state.request_info

            key = "route"
            tags = [
                f"endpoint:{request_info.operation}",
                "backend_type:microcosm_fastapi",
            ]
            if request_info.status_code is not None:
                graph.metrics.increment(
                    name_for(
                        key,
                        "call",
                        "count",
                    ),
                    tags=tags + [
                        f"classifier:{normalize_status_code(request_info.status_code)}"
                    ],
                )

            if request_info.timing.get("elapsed_time"):
                elapsed_ms = request_info.timing["elapsed_time"]
                graph.metrics.histogram(
                    name_for(key),
                    elapsed_ms,
                    tags=tags,
                )

        return response
Пример #2
0
def publish():
    """
    Publish a metric (for testing).

    """
    args = parse_args()
    statsd = create_statsd_client(args)

    if args.action == "increment":
        statsd.increment(name_for(getuser(), args.action))
    elif args.action == "histogram":
        statsd.histogram(name_for(getuser(), args.action), 1.0)

    try:
        # wait a little to allow the delivery of the metric before we exit
        sleep(1.0)
    except KeyboardInterrupt:
        pass
Пример #3
0
 def wrapper(*args, **kwargs):
     start_time = time()
     try:
         return func(*args, **kwargs)
     finally:
         end_time = time()
         graph.metrics.histogram(
             name_for(name),
             end_time - start_time,
             tags=tags,
         )
Пример #4
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 def wrapper(*args, **kwargs):
     classifier = classifier_cls(func)
     try:
         return classifier(*args, **kwargs)
     finally:
         if classifier.label is not None:
             graph.metrics.increment(
                 name_for(
                     name,
                     classifier.label,
                     "count",
                 ),
                 tags=tags,
             )
Пример #5
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 def test_naming_simple(self):
     assert_that(name_for("foo"), is_(equal_to("foo")))
Пример #6
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 def test_naming(self):
     assert_that(name_for("foo", "bar"), is_(equal_to("foo.bar")))