Dont exceeed the number of pubsub messages per pub request.

src/clusterfuzz/_internal/base/tasks/__init__.py

@@ -15,6 +15,7 @@
 
 import contextlib
 import datetime
+import itertools
 import json
 import random
 import threading
@@ -48,6 +49,8 @@
 MAX_LEASED_TASKS_LIMIT = 1000
 MAX_TASKS_LIMIT = 100000
 
+MAX_PUBSUB_MESSAGES_PER_REQ = 1000
+
 # Various variables for task leasing and completion times (in seconds).
 TASK_COMPLETION_BUFFER = 90 * 60
 TASK_CREATION_WAIT_INTERVAL = 2 * 60
@@ -653,8 +656,9 @@ def bulk_add_tasks(tasks, queue=None, eta_now=False):
 
   pubsub_client = pubsub.PubSubClient()
   pubsub_messages = [task.to_pubsub_message() for task in tasks]
-  pubsub_client.publish(
-      pubsub.topic_name(utils.get_application_id(), queue), pubsub_messages)
+  topic_name = pubsub.topic_name(utils.get_application_id(), queue)
+  for batch in utils.batched(pubsub_messages, MAX_PUBSUB_MESSAGES_PER_REQ):
+    pubsub_client.publish(topic_name, batch)
 
 
 def add_task(command,

src/clusterfuzz/_internal/base/utils.py

@@ -1020,3 +1020,22 @@ def cpu_count():
 
   return environment.get_value('CPU_COUNT_OVERRIDE',
                                multiprocessing.cpu_count())
+
+
+def batched(iterator, batch_size):
+  """Implementation of itertools.py's batched that was added after
+  Python3.11."""
+  # TODO(metzman): Replace this with itertools.batched.
+  assert batch_size > -1
+  idx = 0
+  batch = []
+  for item in iterator:
+    idx += 1
+    batch.append(item)
+    if idx == batch_size:
+      idx = 0
+      yield batch
+      batch = []
+
+  if batch:
+    yield batch

src/clusterfuzz/_internal/fuzzing/corpus_manager.py

@@ -663,7 +663,8 @@ def get_proto_corpus(bucket_name,
   # again.
   if max_download_urls is not None:
     urls = itertools.islice(urls, max_download_urls)
-  corpus_urls = dict(storage.sign_urls_for_existing_files(urls, include_delete_urls))
+  corpus_urls = dict(
+      storage.sign_urls_for_existing_files(urls, include_delete_urls))
 
   upload_urls = storage.get_arbitrary_signed_upload_urls(
       gcs_url, num_uploads=max_upload_urls)

src/clusterfuzz/_internal/google_cloud_utils/batch.py

@@ -104,24 +104,6 @@ def create_uworker_main_batch_job(module, job_type, input_download_url):
   return result[0]
 
 
-def _bunched(iterator, bunch_size):
-  """Implementation of itertools.py's batched that was added after Python3.7."""
-  # TODO(metzman): Replace this with itertools.batched.
-  assert bunch_size > -1
-  idx = 0
-  bunch = []
-  for item in iterator:
-    idx += 1
-    bunch.append(item)
-    if idx == bunch_size:
-      idx = 0
-      yield bunch
-      bunch = []
-
-  if bunch:
-    yield bunch
-
-
 def create_uworker_main_batch_jobs(batch_tasks: List[BatchTask]):
   """Creates batch jobs."""
   job_specs = collections.defaultdict(list)
@@ -135,7 +117,8 @@ def create_uworker_main_batch_jobs(batch_tasks: List[BatchTask]):
 
   logs.info('Batching utask_mains.')
   for spec, input_urls in job_specs.items():
-    for input_urls_portion in _bunched(input_urls, MAX_CONCURRENT_VMS_PER_JOB):
+    for input_urls_portion in utils.batched(input_urls,
+                                            MAX_CONCURRENT_VMS_PER_JOB):
       jobs.append(_create_job(spec, input_urls_portion))
 
   return jobs