Increase security and reformat

core/workspace/sampling.py

@@ -74,7 +74,9 @@ def downsample_points(points: list[dict], density: str = "medium") -> list[dict]
         if bucket_ms <= 0:
             passthrough.append(
                 {
-                    "x": datetime.fromtimestamp(ts_ms / 1000, tz=timezone.utc).isoformat(),
+                    "x": datetime.fromtimestamp(
+                        ts_ms / 1000, tz=timezone.utc
+                    ).isoformat(),
                     "y": row.get("y"),
                     "ts_ms": ts_ms,
                 }
@@ -116,12 +118,18 @@ def downsample_points(points: list[dict], density: str = "medium") -> list[dict]
     if not output:
         return []
     # Preserve first/last and reduce to density cap if still too large.
-    cap = int(DENSITY_POINT_CAPS.get(str(density or "").strip().lower(), DENSITY_POINT_CAPS["medium"]))
+    cap = int(
+        DENSITY_POINT_CAPS.get(
+            str(density or "").strip().lower(), DENSITY_POINT_CAPS["medium"]
+        )
+    )
     compact = _compress_to_target(output, cap)
     return compact
 
 
-def compact_snapshot_rows(snapshot_rows: list[dict], now_ts_ms: int, cutoff_ts_ms: int) -> set[int]:
+def compact_snapshot_rows(
+    snapshot_rows: list[dict], now_ts_ms: int, cutoff_ts_ms: int
+) -> set[int]:
     """
     Returns IDs to keep using the same age-bucket policy as graph sampling.
     Old rows below cutoff are dropped; remaining rows keep one representative