Merge pull request ceph#58961 from NitzanMordhai/wip-nitzan-dencoder-test-forward-incompat-fix

workunit/dencoder: dencoder test forward incompat fix

Reviewed-by: Casey Bodley <[email protected]>

Author: yuriw

ceph-object-corpus

@@ -61,7 +61,7 @@ def process_type(file_path, type):
             cmd_determ = [CEPH_DENCODER, "type", type, "is_deterministic"]
             determ_res = subprocess.run(cmd_determ, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
              # Check if the command failed
-            if determ_res.returncode != 0:
+            if determ_res.returncode != 0 and determ_res.returncode != 1:
                 error_message = determ_res.stderr.decode().strip()
                 debug_print(f"Error running command: {error_message}")
                 return 1
@@ -222,7 +222,7 @@ def check_backward_compat():
                 version_name = version.name
                 _backward_compat[version_name] = {}
                 type_dir = archive_dir / version_name / "forward_incompat"
-                if type_dir.exists() and type_dir.is_dir():
+                if type_dir.exists():
                     for type_entry in type_dir.iterdir():
                         if type_entry.is_dir():
                             type_name = type_entry.name
@@ -243,7 +243,8 @@ def check_backward_compat():
 
 def process_batch(batch):
     results = []
-    with concurrent.futures.ThreadPoolExecutor() as executor:
+    max_workers = 15
+    with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
         futures = [
             executor.submit(
                 test_object_wrapper, batch_type, vdir, arversion, current_ver
@@ -259,7 +260,8 @@ def process_batch(batch):
 
 # Create a generator that processes batches asynchronously
 def async_process_batches(task_batches):
-    with concurrent.futures.ProcessPoolExecutor() as executor:
+    max_workers = 10
+    with concurrent.futures.ProcessPoolExecutor(max_workers=max_workers) as executor:
         futures = [executor.submit(process_batch, batch) for batch in task_batches]
         for future in concurrent.futures.as_completed(futures):
             yield future.result()