from flask import Flask
from prometheus_flask_exporter import PrometheusMetrics
app = Flask(__name__)
metrics = PrometheusMetrics(app)
@app.route('/')
def main():
    return 'OK'

from flask import Flask, request
from prometheus_flask_exporter import PrometheusMetrics
app = Flask(__name__)
# group by endpoint rather than path
metrics = PrometheusMetrics(app, group_by='endpoint')
@app.route('/collection/:collection_id/item/:item_id')
@metrics.counter(
    'cnt_collection', 'Number of invocations per collection', labels={
        'collection': lambda: request.view_args['collection_id'],
        'status': lambda resp: resp.status_code
    })
def get_item_from_collection(collection_id, item_id):
    pass

app = Flask(__name__)
metrics = PrometheusMetrics(app)
@app.route('/')
def main():
    pass  # requests tracked by default
@app.route('/skip')
@metrics.do_not_track()
def skip():
    pass  # default metrics are not collected
# custom metric to be applied to multiple endpoints
common_counter = metrics.counter(
    'by_endpoint_counter', 'Request count by endpoints',
    labels={'endpoint': lambda: request.endpoint}
)
@app.route('/common/one')
@common_counter
def endpoint_one():
    pass  # tracked by the custom and the default metrics
@app.route('/common/two')
@common_counter
def endpoint_two():
    pass  # also tracked by the custom and the default metrics
# register additional default metrics
metrics.register_default(
    metrics.counter(
        'by_path_counter', 'Request count by request paths',
        labels={'path': lambda: request.path}
    )
)

scrape_configs:
  - job_name: 'example'
    dns_sd_configs:
      - names: ['app']
        port: 5000
        type: A
        refresh_interval: 5s

from flask import Flask, request
from prometheus_flask_exporter import PrometheusMetrics
app = Flask(__name__)
metrics = PrometheusMetrics(app, path=None)
...
metrics.start_http_server(5099)