Exposes applipy metrics in prometheus format
Project description
Applipy Prometheus Metrics
pip install applipy_prometheus
Exposes applipy metrics in prometheus format as an HTTP endpoint with path /metrics
.
Usage
Add the applipy_prometheus.PrometheusModule
to your application. Optionally,
define through which http server to expose the /metrics
endpoint, if no name
is given it defaults to the anonymous server:
# dev.yaml
app:
name: demo
modules:
- applipy_prometheus.PrometheusModule
http.servers:
- name: internal
host: 0.0.0.0
port: 8080
prometheus.server_name: internal
To run this test just install applipy_prometheus
and pyyaml
and run the applipy application:
pip install applipy_prometheus pyyaml
python -m applipy
You can now query http://0.0.0.0:8080/metrics and you should see some metrics for that endpoint (you'll have to query it twice to see metrics).
This module uses
applipy_metrics
's registry to
load the metrics and generate the Prometheus document.
Metrics Endpoint Wrapper
This library also comes with MetricsWrapper
. It is an
applipy_http.EndpointWrapper
that can be bound to your APIs and will automatically measure the request time
and store it as a summary with name applipy_web_request_duration_seconds
.
By default, the library will add the MetricsWrapper
to the API that registers
the endpoint /metrics
, named prometheus
, and the anonymous API, the one
that is bound without named parameters. This functionalities can be disabled by
setting the configuration values prometheus.observe_prometheus_api
and
prometheus.observe_anonymous_api
to false
.
A named API is one that is registered with named parameters like so:
bind(with_names(Api, 'api_name'))
.
The anonymous API has no named parameters and is usually registered like so:bind(Api)
.
You can also tell the module to add the MetricsWrapper
to you named APIs by
setting the configuration value prometheus.api_names
to a list containing the
names of you named APIs.
In the case your API is registered with multiple parameter names, the one that applies for the wrapper is the name for the
wrappers
parameter.
The wrapper has
priority
100
.
The metrics are tagged by default with:
method
: HTTP request method (i.e.GET
,POST
, etc.)path
: path of the endpoint handling the requestserver
: name of the server handling the request (anonymous server is empty string)status
: status code of the response
On top of that, a dictionary is added to the Context
with the key
metrics.tags
where you can add custom tags to the metric.
Example
Full prometheus module config
All keys and their default values:
prometheus:
server_name: null
observe_prometheus_api: true
observe_anonymous_api: true
api_names: []
Endpoint with custom metric tag
# myendpoint.py
from aiohttp import web
from applipy_http import Endpoint
class MyEndpoint(Endpoint):
async def get(self, req, ctx):
ctx['metrics.tags']['custom_tag'] = 'value'
return web.Response(body='Ok')
def path(self):
return '/'
Usage with anonymous API
# mymodule.py
from applipy import Module
from applipy_http import Api, HttpModule, Endpoint, PathFormatter
from applipy_inject import with_names
from applipy_prometheus import MetricsWrapper
from myendpoint import MyEndpoint
class MyModule(Module):
def configure(self, bind, register):
bind(Endpoint, MyEndpoint)
bind(PathFormatter)
bind(Api)
@classmethod
def depends_on(cls):
return HttpModule,
# dev.yaml
app:
name: test
modules: [mymodule.MyModule]
http.servers:
- host: 0.0.0.0
port: 8080
Usage with named API
# mymodule.py
from applipy import Module
from applipy_http import Api, HttpModule, Endpoint, PathFormatter
from applipy_inject import with_names
from applipy_prometheus import MetricsWrapper
from myendpoint import MyEndpoint
class MyModule(Module):
def configure(self, bind, register):
bind(Endpoint, MyEndpoint, name='myApi')
bind(PathFormatter, name='myApi')
bind(with_names(Api, 'myApi'))
@classmethod
def depends_on(cls):
return HttpModule,
# dev.yaml
app:
name: test
modules: [mymodule.MyModule]
http.servers:
- host: 0.0.0.0
port: 8080
prometheus:
api_names: [myApi]
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