Prom PG test setup

docker-compose.yml

services: 
  prom:
    image: prom/prometheus
    ports:
      - 9090:9090
    volumes:
      - ./prom.yml:/prom.yml
    command:
      - '--config.file=/prom.yml'

  pushgateway:
    image: prom/pushgateway
    ports: 
      - 9091:9091

  grafana:
    image: grafana/grafana
    ports:
      - 3000:3000
    environment:
      - GF_SECURITY_ADMIN_PASSWORD=veryverysecure
    depends_on:
      - prom

main.py

#!/usr/bin/env python3
# pip install prometheus_client
from prometheus_client import (
    Summary,
    Counter,
    push_to_gateway,
    CollectorRegistry,
    Gauge,
    Info,
)


registry = CollectorRegistry()
request_time = Summary(
    "request_processing_seconds",
    "Time spent",
    ["animal", "color"],  # Labels
    registry=registry,
)
execution_counter = Counter(
    "executions",
    "Number of executions",
    ["animal", "color"],  # Labels
    registry=registry,
)
last_success = Gauge(
    "job_last_success_unixtime",
    "Last time a batch job successfully finished",
    registry=registry,
)
data_type_info = Info("data_type", "Datatype for execution", registry=registry)

with request_time.labels(instance="localhost:123", color="blue", animal="fish").time():
    data_type_info.info({"animal": "fish", "color": "blue"})
    execution_counter.labels(instance="localhost:123", animal="fish", color="blue").inc()

last_success.set_to_current_time()
push_to_gateway("localhost:9091", job="cli_execution", registry=registry, timeout=1)

prom.yml

global:
  evaluation_interval: 15s
  scrape_interval: 15s
  scrape_timeout: 15s

scrape_configs:
  - job_name: scrape_pushgateway
    honor_labels: true
    metrics_path: /metrics
    scheme: http
    static_configs:
      - targets: ["pushgateway:9091"]