Reputation: 53
I try to use prometheus_client for export RabbitMQ metrics. I have a problem with decorator functions.
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#from prometheus_client import start_http_server, Summary
import prometheus_client as prom
import random
import time
import pika
queue_name = [
"capt",
"dev-capt",
"myBeautifullTest"
]
def get_metric(qname):
queue_descriptor = channel.queue_declare(qname, durable=True)
queue_len = queue_descriptor.method.message_count
return float(queue_len)
params = pika.ConnectionParameters(
host='rabbitmq1.local',
port=5672,
credentials=pika.credentials.PlainCredentials('guest11', 'guest22'),
)
connection = pika.BlockingConnection(parameters=params)
channel = connection.channel()
i = prom.Info("RMQPE", "RabbitMQ Prometheus Exporter")
i.info({'version': '0.0.1'})
# Create a metric to track time spent and requests made.
REQUEST_TIME = prom.Summary('request_processing_seconds', 'Time spent processing request')
# Decorate function with metric.
@REQUEST_TIME.time()
def process_request():
"""A dummy function that takes some time."""
time.sleep(1)
RABBIT_QUEUE = prom.Gauge('rabbitmq_test_exporter', 'queue_length' , ['queue_name'], multiprocess_mode = 'all')
for qname in queue_name:
queue_descriptor = channel.queue_declare(qname, durable=True)
queue_len = queue_descriptor.method.message_count
RABBIT_QUEUE.labels(qname).set(queue_len)
@RABBIT_QUEUE.track_inprogress()
def f():
pass
with RABBIT_QUEUE.track_inprogress():
pass
if __name__ == '__main__':
# Start up the server to expose the metrics.
prom.start_http_server(27015) # Yes, CS port :)
# Generate some requests.
while True:
process_request()
f()
I have a message:
andrey@xps:~/prj/python3/rmq$ ./prj2.py Traceback (most recent call last): File "./prj2.py", line 56, in @RABBIT_QUEUE.track_inprogress() File "/usr/local/lib/python3.8/dist-packages/prometheus_client/metrics.py", line 372, in track_inprogress self._raise_if_not_observable() File "/usr/local/lib/python3.8/dist-packages/prometheus_client/metrics.py", line 66, in _raise_if_not_observable raise ValueError('%s metric is missing label values' % str(self._type)) ValueError: gauge metric is missing label values
I need 3 metrics. Maybe more.
If I remove the decorator, my code is working, but I haven't updated values.
Please help.
Thank you.
Upvotes: 0
Views: 7056
Reputation: 53
SOLVED!
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#from prometheus_client import start_http_server, Summary
import prometheus_client as prom
import random
import time
import pika
queue_name = [
"capt",
"dev-capt",
"myBeautifullTest"
]
params = pika.ConnectionParameters(
host='rabbitmq1.local',
port=5672,
credentials=pika.credentials.PlainCredentials('guest11', 'guest22'),
)
connection = pika.BlockingConnection(parameters=params)
channel = connection.channel()
i = prom.Info("RMQPE", "RabbitMQ Prometheus Exporter")
i.info({'version': '0.0.1'})
# Create a metric to track time spent and requests made.
REQUEST_TIME = prom.Summary('request_processing_seconds', 'Time spent processing request')
# Decorate function with metric.
@REQUEST_TIME.time()
def process_request():
time.sleep(1)
if __name__ == '__main__':
# name documentation labelnames
RABBIT_QUEUE = prom.Gauge('rabbitmq_test_exporter', 'queue_length', labelnames=['queue_name'])
prom.start_http_server(27015)
while True:
process_request()
for qname in queue_name:
queue_descriptor = channel.queue_declare(qname, durable=True)
queue_len = queue_descriptor.method.message_count
RABBIT_QUEUE.labels(qname).set(queue_len)
Upvotes: 3