```
import prometheus_client as prom, Guage
import random
import time
pool={'pool_name': 'testing-prom-tool','member_name': 'promtest',
'mem_port': '443', 'mem_address': 'xx.xx.xx.xx', 'mem_state': 'down'}
# 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 label names ### I was
able to populate all the keys from the dictionary using the pool. keys())
f5_prom_test =
prom.Guage('f5_test','f5_node_status',('pool_name','member_name','mem_port','mem_address','mem_state'))
prom.start_http_server(1234)
While True:
process_request()
f5_prom_test.labels(pool.get('pool_name'),pool.get('member_name'),pool.get('mem_port'),pool.get('mem_address'),pool.get('mem_state'))
#f5_prom.labels(**pool), this works as well
```
I can see metrics are registered when I curl -K http://localhost:1234.
Somehow the metrics are not saved in the Prometheus. I can't view the data
whenever I stop the python script in grafana, and there is no historical
data held in the Prometheus tsdb to view on the Prometheus web URL
```
curl -K http://localhost:1234
f5_test{mem_address="xx.xx.xx.xxx",mem_name="test-server",pool_name"=testpool",mem_port="5443",mem_state="down"}
```
Here is my `prometheus.yml` for custom python Prometheus collector for pool
data
```
- job_name: 'python-exporter
scrape_interval: 5s
static_configs:
- targets: ['hostname:1234']
```
I can view the data only when I use the python script; later, that data is
not saved in Prometheus. I'm not using any custom registry
, How to save registered data in /metrics to Prometheus using
prometheus_client? I already changed my retention period of Prometheus tsdb
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