Description:
REDMetricsTracker 0.1.1
RED-Metrics-Tracker
Simple RED Metrics tracker able to instrument flask views using prometheus metrics.
Install
With pip, of course:
pip install red-metrics-tracker
Instrumenting
Tracking all methods and exceptions for all requests on a view:
app = flask.Flask(__name__)
@app.route("/endpoint")
@FlaskRedMetricsTracker.track()
def do_things():
...
return "OK"
Limiting metrics tracking to specific methods:
@app.route("/endpoint", methods=["POST", "GET", "PUT", "DELETE"])
@FlaskRedMetricsTracker.track(methods=["POST", "DELETE"])
def do_things():
...
return "OK"
Limiting to specific exceptions:
@app.route("/endpoint/<condition>")
@FlaskRedMetricsTracker.track(exceptions=MySpecialException)
def do_things():
...
if condition == "throw":
raise MySpecialException
return "OK"
Filters may be combined, of course:
@app.route("/endpoint/<condition>", methods=["POST", "GET", "DELETE"])
@FlaskRedMetricsTracker.track(methods=["GET", "POST"]exceptions=MySpecialException)
def do_things():
...
if condition == "throw":
raise MySpecialException
return "OK"
Exposition
Feel free to use prometheus_client to run an http_server serving a /metrics endpoint at its
configured port.
For the people who’d like the /metrics endpoint to be part of their flask app, there’s a blueprint
for that:
import flask
from red import metrics_blueprint
app = flask.Flask(__name__)
app.register_blueprint(metrics_blueprint)
Metrics are now available at you app’s url under the /metrics endpoint.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
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