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import logging
import os
import threading
import time
import traceback
import gunicorn
import gunicorn.app.base
from flask import Flask
from prometheus_client import make_wsgi_app
from werkzeug.middleware.dispatcher import DispatcherMiddleware
from pebble import concurrent
from prometheus_client.core import REGISTRY, InfoMetricFamily
from concurrent.futures import TimeoutError
from prometheus_flask_exporter.multiprocess import GunicornInternalPrometheusMetrics
from prometheus_client import Counter
class StandaloneApplication(gunicorn.app.base.BaseApplication):
def __init__(self, app, options=None):
self.options = options or {}
self.application = app
super().__init__()
def load_config(self):
config = {key: value for key, value in self.options.items()
if key in self.cfg.settings and value is not None}
for key, value in config.items():
self.cfg.set(key.lower(), value)
def load(self):
return self.application
class CustomCollector:
def collect(self):
info = InfoMetricFamily('xxxx', 'xxxxxx')
info.add_metric(labels='version',
value={
'version': 'xxxxx',
'loglevel': 'xxx',
'root': 'xxxx',
'workers': 'xxxx',
'ip': 'xxxxx',
'port': 'xxx',
'config_name': 'xxxx',
'mode': 'xx',
'debug': 'xxx',
'node': 'xxx',
'pod': 'xxx',
'pid': str(os.getpid())
}
)
yield info
thread_sum = Counter('thread_count',
'Total count of the thread application.',
['pod', 'node', 'mode'])
def add_metric_thread(count=False):
if count:
thread_sum.labels(mode='mode', node='NODE', pod='POD').inc(count)
else:
thread_sum.labels(mode='mode', node='NODE', pod='POD')
def when_ready(server):
GunicornInternalPrometheusMetrics.start_http_server_when_ready(8080)
def child_exit(server, worker):
GunicornInternalPrometheusMetrics.mark_process_dead_on_child_exit(worker.pid)
def thread_function():
@concurrent.process(timeout=300)
def job():
open_threads = threading.active_count()
add_metric_thread(open_threads)
print(f'How thread Open .: {open_threads}')
print(f'run_threaded - {threading.current_thread()}')
time.sleep(20)
while True:
time.sleep(10)
future = job()
try:
future.result() # blocks until results are ready
except TimeoutError as error:
logging.error(f'Job timeout of 5 minute {error.args[1]}')
except Exception:
logging.error(f' job - {traceback.format_exc()}')
def init():
print('Thread - starting')
thread = threading.Thread(target=thread_function, daemon=True)
thread.start()
add_metric_thread()
def create_app():
app = Flask(__name__)
metrics.init_app(app)
# Add prometheus wsgi middleware to route /metrics requests
app.wsgi_app = DispatcherMiddleware(app.wsgi_app, {
'/metrics': make_wsgi_app(registry=REGISTRY)
})
init()
@app.route('/test')
def main():
return 'Ok'
return app
REGISTRY.register(CustomCollector())
metrics = GunicornInternalPrometheusMetrics.for_app_factory(
path='/metrics',
static_labels={'node': 'xxx', 'pod': 'xx', 'version': 'xx'},
registry=REGISTRY
)
if __name__ == '__main__':
options = {
'bind': ['0.0.0.0:9200'],
'workers': 4,
'loglevel': 'debug'
}
std_app = StandaloneApplication(create_app(), options)
std_app.run()
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