test: verify workflow run details

backend-fastapi/scripts/verify_ai_agent_admin.py

@@ -75,6 +75,30 @@ def _unwrap(payload: Any) -> Any:
     return payload
 
 
+async def _find_completed_issue_run(
+    client: ApiClient,
+    workflow_id: str,
+    issue: str,
+) -> dict[str, Any]:
+    runs_data = _unwrap(await client.get("/api/ai/workflow/runs?page=1&pageSize=50"))
+    runs = runs_data.get("items", runs_data) if isinstance(runs_data, dict) else runs_data
+    candidates = [
+        run
+        for run in runs
+        if run.get("workflow_id") == workflow_id and run.get("status") == "completed"
+    ]
+    issue_text = issue.lower()
+    for run in candidates:
+        run_detail = _unwrap(await client.get(f"/api/ai/workflow/runs/{run['id']}"))
+        searchable = " ".join(
+            _preview(run_detail.get(key), 2000)
+            for key in ("inputs", "outputs", "execution_log")
+        ).lower()
+        if issue_text in searchable:
+            return run_detail
+    raise RuntimeError(f"completed run not found for issue: {issue}")
+
+
 async def verify(args: argparse.Namespace) -> int:
     base_url = args.base_url.rstrip("/")
     client = ApiClient(base_url=base_url, timeout=args.timeout)
@@ -116,19 +140,7 @@ async def verify(args: argparse.Namespace) -> int:
     if workflow.get("status") != "published":
         raise RuntimeError(f"workflow is not published: {workflow.get('status')}")
 
-    runs_data = _unwrap(await client.get("/api/ai/workflow/runs?page=1&pageSize=20"))
-    runs = runs_data.get("items", runs_data) if isinstance(runs_data, dict) else runs_data
-    matching_runs = [
-        run
-        for run in runs
-        if run.get("workflow_id") == workflow.get("id")
-        and run.get("status") == "completed"
-        and args.issue.lower() in _preview(run.get("inputs"), 1000).lower()
-    ]
-    if not matching_runs:
-        raise RuntimeError(f"completed run not found for issue: {args.issue}")
-
-    run_detail = _unwrap(await client.get(f"/api/ai/workflow/runs/{matching_runs[0]['id']}"))
+    run_detail = await _find_completed_issue_run(client, workflow.get("id"), args.issue)
     execution_log = run_detail.get("execution_log") or []
     if len(execution_log) < args.min_steps:
         raise RuntimeError(f"execution log too short: {len(execution_log)} < {args.min_steps}")