feat: reserve queue capacity for recent models

modelhub_submmit_api/daily_runner.py

@@ -85,6 +85,18 @@ def build_parser() -> argparse.ArgumentParser:
         default=0,
         help="Maximum tasks to submit in one run (0 means unlimited)",
     )
+    parser.add_argument(
+        "--old-model-queue-threshold",
+        type=int,
+        default=int(os.getenv("MODELHUB_OLD_MODEL_QUEUE_THRESHOLD", "80")),
+        help=argparse.SUPPRESS,
+    )
+    parser.add_argument(
+        "--recent-model-days",
+        type=int,
+        default=int(os.getenv("MODELHUB_RECENT_MODEL_DAYS", "7")),
+        help=argparse.SUPPRESS,
+    )
     parser.add_argument("--disable-candidate-preflight", action="store_true", help=argparse.SUPPRESS)
     parser.add_argument("--llm-classifier-endpoint", default=os.getenv("MODELHUB_LLM_CLASSIFIER_ENDPOINT"), help=argparse.SUPPRESS)
     parser.add_argument("--llm-classifier-model", default=os.getenv("MODELHUB_LLM_CLASSIFIER_MODEL"), help=argparse.SUPPRESS)
@@ -240,6 +252,8 @@ def make_wave_namespace(base_args: argparse.Namespace, wave: WaveSpec) -> argpar
         capacity_probe_interval_cycles=getattr(base_args, "capacity_probe_interval_cycles", 3),
         submit_concurrency=getattr(base_args, "submit_concurrency", 1),
         max_submits_per_run=getattr(base_args, "max_submits_per_run", 0),
+        old_model_queue_threshold=getattr(base_args, "old_model_queue_threshold", 80),
+        recent_model_days=getattr(base_args, "recent_model_days", 7),
         disable_candidate_preflight=getattr(base_args, "disable_candidate_preflight", False),
         llm_classifier_endpoint=getattr(base_args, "llm_classifier_endpoint", None),
         llm_classifier_model=getattr(base_args, "llm_classifier_model", None),