feat: compact durable logs and refine framework routing

modelhub_submmit_api/market_intelligence.py

@@ -22,7 +22,7 @@ DEFAULT_FRAMEWORK_MIN_SAMPLES = 300
 DEFAULT_GPU_MIN_RECENT_TERMINALS = 20
 DEFAULT_FRAMEWORK_MIN_WILSON = 0.05
 DEFAULT_COMMUNITY_WINDOW_DAYS = 30
-DEFAULT_COMMUNITY_MAX_MODELS = 2000
+DEFAULT_COMMUNITY_MAX_MODELS = 200
 DEFAULT_COMMUNITY_HYDRATE_PER_REFRESH = 50
 NEW_FRAMEWORK_PROMOTION_MARGIN = 1.10
 ERROR_RETRY_SECONDS = 300
@@ -248,6 +248,16 @@ class MarketIntelligenceManager:
         else:
             state = self._base_state(gpus, tasks, now)
 
+        community_sample = state.get("communitySample") or {}
+        if isinstance(community_sample, dict) and len(community_sample) > DEFAULT_COMMUNITY_MAX_MODELS:
+            cutoff = now - timedelta(days=DEFAULT_COMMUNITY_WINDOW_DAYS)
+            ordered = sorted(
+                community_sample.items(),
+                key=lambda item: parse_datetime((item[1] or {}).get("updateTime")) or cutoff,
+                reverse=True,
+            )
+            state["communitySample"] = dict(ordered[:DEFAULT_COMMUNITY_MAX_MODELS])
+
         queue_due = not _fresh(
             state.get("queueUpdatedAt"),
             now=now,