Le suivi des précalculs peut engendrer des erreurs

Exemple d'erreur :

File "/app/public/./v1/lda.py", line 131, in <module>
  push_to_gateway('*************', job=job_name, registry=registry)
File "/usr/local/lib/python3.9/site-packages/prometheus_client/exposition.py", line 527, in push_to_gateway
  _use_gateway('PUT', gateway, job, registry, grouping_key, timeout, handler)
File "/usr/local/lib/python3.9/site-packages/prometheus_client/exposition.py", line 619, in _use_gateway
  handler(
File "/usr/local/lib/python3.9/site-packages/prometheus_client/exposition.py", line 379, in handle
  resp = build_opener(base_handler).open(request, timeout=timeout)
File "/usr/local/lib/python3.9/urllib/request.py", line 523, in open
  response = meth(req, response)
File "/usr/local/lib/python3.9/urllib/request.py", line 632, in http_response
  response = self.parent.error(
File "/usr/local/lib/python3.9/urllib/request.py", line 561, in error
  return self._call_chain(*args)
File "/usr/local/lib/python3.9/urllib/request.py", line 494, in _call_chain
  result = func(*args)
File "/usr/local/lib/python3.9/urllib/request.py", line 641, in http_error_default
  raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 503: Service Unavailable

Suggestion : utiliser un try - except - pass. Cela aurait l'avantage de faire tourner le précalcul même lorsque la machine jobs-metrics est indisponible ET de faire fonctionner les tests sur github.

Start in /app/public/./v1/lda.py around line 131, where push_to_gateway sends precalculation metrics to jobs-metrics. Reproduce or inspect the HTTP 503 failure, then run the repository tests on GitHub. Done means the precalculation continues when the metrics service is unavailable and the tests pass.