Fix compute visualization results from operators

fiftyone/server/decorators.py

@@ -5,11 +5,14 @@
 | `voxel51.com <https://voxel51.com/>`_
 |
 """
+
+from json import JSONEncoder
 import traceback
 import typing as t
 import logging
 
 from bson import json_util
+import numpy as np
 
 from fiftyone.core.utils import run_sync_task
 
@@ -18,6 +21,23 @@
 from starlette.requests import Request
 
 
+class Encoder(JSONEncoder):
+    def default(self, o):
+        if isinstance(o, np.floating):
+            return float(o)
+
+        if isinstance(o, np.integer):
+            return int(o)
+
+        return JSONEncoder.default(self, o)
+
+
+async def create_response(response: dict):
+    return Response(
+        await run_sync_task(lambda: json_util.dumps(response, cls=Encoder))
+    )
+
+
 def route(func):
     async def wrapper(
         endpoint: HTTPEndpoint, request: Request, *args
@@ -30,9 +50,8 @@ async def wrapper(
             if isinstance(response, Response):
                 return response
 
-            return Response(
-                await run_sync_task(lambda: json_util.dumps(response))
-            )
+            return await create_response(response)
+
         except Exception as e:
             logging.exception(e)
             return JSONResponse(

tests/unittests/server_decorators_tests.py

@@ -0,0 +1,32 @@
+"""
+FiftyOne Server decorators.
+
+| Copyright 2017-2024, Voxel51, Inc.
+| `voxel51.com <https://voxel51.com/>`_
+|
+"""
+
+import unittest
+
+import numpy as np
+
+from fiftyone.server.decorators import create_response
+
+
+class TestNumPyResponse(unittest.IsolatedAsyncioTestCase):
+    async def test_numpy_response(self):
+        await create_response(
+            {
+                "float16": np.array([16.0], dtype=np.float16),
+                "float32": np.array([32.0], dtype=np.float32),
+                "float64": np.array([64.0], dtype=np.float64),
+                "int8": np.array([8], dtype=np.int8),
+                "int16": np.array([8], dtype=np.int16),
+                "int32": np.array([8], dtype=np.int32),
+                "int64": np.array([8], dtype=np.int64),
+                "uint8": np.array([8], dtype=np.uint8),
+                "uint6": np.array([8], dtype=np.uint16),
+                "uint32": np.array([8], dtype=np.uint32),
+                "uint64": np.array([8], dtype=np.uint64),
+            }
+        )