fix(agent): stabilize sandboxed streaming workflows

.opencode/skills/workflow/service-area-analysis/scripts/service_area_partition.py

@@ -29,6 +29,13 @@ COLORS = [
     "rgba(204,153,204,0.7)", "rgba(153,153,153,0.7)"
 ]
 
+
+def norm_time(t):
+    """把 ISO8601 字符串归一化为 UTC 的 ISO 字符串，用于跨时区比较"""
+    from datetime import datetime
+    return datetime.fromisoformat(t.replace("Z", "+00:00")).astimezone(
+        __import__("datetime").timezone.utc).isoformat()
+
 def load_json(path, label):
     print(f"Loading {label}...", file=sys.stderr)
     with open(path) as f:
@@ -63,11 +70,12 @@ def main():
 
     # --- Step 3: Load link flow at target time ---
     ldata = load_json(args.links, "link flows")["data"]
-    target_links = [l for l in ldata if l["time"] == args.target_time]
+    target_ts = norm_time(args.target_time)
+    target_links = [l for l in ldata if norm_time(l["time"]) == target_ts]
     flow_direction = {}
     pipe_flow = {}
     for l in target_links:
-        lid = l["id"]
+        lid = l.get("link_id") or l.get("id")
         flow_val = l["flow"]
         pipe_flow[lid] = abs(flow_val)
         if lid in pipe_topology:
@@ -81,11 +89,11 @@ def main():
 
     # --- Step 4: Load node data at target time ---
     ndata = load_json(args.nodes, "node data")["data"]
-    target_nodes = [n for n in ndata if n["time"] == args.target_time]
+    target_nodes = [n for n in ndata if norm_time(n["time"]) == target_ts]
     node_pressure = {}
     node_demand = {}
     for n in target_nodes:
-        nid = n["id"]
+        nid = n.get("node_id") or n.get("id")
         node_pressure[nid] = n.get("pressure", 0)
         node_demand[nid] = n.get("actual_demand", 0)
     print(f"  {len(target_nodes)} nodes", file=sys.stderr)