Parallelize job posting

Speed up posting jobs into openQA and dashboard database

Current implementation post jobs in serial and every post must be
finished before posting another. Jobs itself don't depend on order
or on another jobs so is pretty safe to post more jobs in parallel.

openqabot/openqabot.py

@@ -1,10 +1,12 @@
 # Copyright SUSE LLC
 # SPDX-License-Identifier: MIT
 from argparse import Namespace
+from concurrent.futures import ThreadPoolExecutor, wait
 from logging import getLogger
 from os import environ
 
 from openqabot.dashboard import put
+
 from .errors import PostOpenQAError
 from .loader.config import get_onearch, load_metadata
 from .loader.qem import get_incidents
@@ -66,7 +68,8 @@ def __call__(self):
 
         else:
             log.info("Triggering %d products in openQA", len(post))
-            for job in post:
+
+            def poster(job):
                 log.info("Triggering %s", str(job))
                 try:
                     self.post_openqa(job["openqa"])
@@ -75,6 +78,9 @@ def __call__(self):
                 else:
                     self.post_qem(job["qem"], job["api"])
 
+            with ThreadPoolExecutor() as executor:
+                wait([executor.submit(poster, job) for job in post])
+
         log.info("End of bot run")
 
         return 0