chore: import upstream snapshot with attribution

code_review_graph/eval/benchmarks/flow_completeness.py

@@ -0,0 +1,36 @@
+"""Flow completeness benchmark: evaluates entry point detection and flow tracing."""
+
+from __future__ import annotations
+
+import logging
+from pathlib import Path
+
+logger = logging.getLogger(__name__)
+
+
+def run(repo_path: Path, store, config: dict) -> list[dict]:
+    """Run flow completeness benchmark."""
+    from code_review_graph.flows import store_flows, trace_flows
+
+    flows = trace_flows(store)
+    count = store_flows(store, flows)
+
+    # Get detected entry point names
+    detected_entries = set()
+    for flow in flows:
+        detected_entries.add(flow.get("entry_point") or flow.get("name", ""))
+
+    known = set(config.get("entry_points", []))
+    found = sum(1 for ep in known if any(ep in d for d in detected_entries))
+
+    depths = [f.get("depth", 0) for f in flows]
+
+    return [{
+        "repo": config["name"],
+        "known_entry_points": len(known),
+        "detected_entry_points": found,
+        "recall": round(found / max(len(known), 1), 3),
+        "detected_flows": count,
+        "avg_flow_depth": round(sum(depths) / max(len(depths), 1), 1),
+        "max_flow_depth": max(depths, default=0),
+    }]