docs: document float_precision=18 trade-off; add double_val round-tri…

…p test Signed-off-by: abhijeet-dhumal <abhijeetdhumal652@gmail.com>
franciscojavierarceo · May 28, 2026 · Feb 25, 2026 · Mar 2, 2026 · Mar 10, 2026 · Mar 10, 2026
commit c559ac5e09345abaaea5d73acef05f3e8c8244c2
@@ -6,13 +6,36 @@
 
 import logging
 from datetime import datetime, timezone
-from typing import Any, Dict, Optional
+from typing import Any, Callable, Dict, Optional
+
+from starlette.responses import Response
 
 from feast.protos.feast.serving.ServingService_pb2 import GetOnlineFeaturesResponse
 from feast.protos.feast.types.Value_pb2 import Value
 
 logger = logging.getLogger(__name__)
 
+try:
+    import orjson
+
+    def _make_json_response(data: Dict[str, Any]) -> Response:
+        return Response(
+            content=orjson.dumps(data),
+            media_type="application/json",
+        )
+
+except ImportError:
+    import json
+
+    def _make_json_response(data: Dict[str, Any]) -> Response:  # type: ignore[misc]
+        return Response(
+            content=json.dumps(data).encode(),
+            media_type="application/json",
+        )
+
+
+_make_json_response: Callable[[Dict[str, Any]], Response]
+
 # FieldStatus enum mapping (protos/feast/serving/ServingService.proto)
 _STATUS_NAMES: Dict[int, str] = {
     0: "INVALID",
@@ -24,7 +47,17 @@
 
 
 def convert_response_to_dict(response: GetOnlineFeaturesResponse) -> Dict[str, Any]:
-    """Convert GetOnlineFeaturesResponse to dict (matches proto_json.patch() format)."""
+    """Convert GetOnlineFeaturesResponse to a JSON-serializable dict.
+
+    Matches the structure produced by MessageToDict(proto, preserving_proto_field_name=True)
+    with proto_json.patch() applied, with one intentional difference:
+
+    - double_val fields are returned as Python float objects (json.dumps uses Python 3.1+
+      shortest round-trip form, ~15-17 sig digits) rather than 18 fixed significant digits
+      (float_precision=18). Values are numerically identical; only the JSON string length
+      may differ. This is safe for all ML feature types and avoids unnecessary precision
+      overhead.
+    """
     result: Dict[str, Any] = {
         "results": [
             {

@@ -448,6 +448,36 @@ def test_float_val_precision_matches_message_to_dict(self):
             == standard_result["results"][0]["values"]
         )
 
+    def test_double_val_precision(self):
+        """double_val is returned as a Python float (shortest round-trip form).
+
+        The upstream code passed float_precision=18 to MessageToDict, which forced 18
+        significant digits for doubles. Our implementation returns native Python floats
+        serialized by json.dumps using Python 3.1+ shortest-round-trip representation
+        (~15–17 sig digits). The value is identical when round-tripped through float64;
+        the only difference is how many trailing digits appear in the JSON string.
+        This is an intentional trade-off for speed and is safe for all ML feature values.
+        """
+        import json
+        import struct
+
+        # Use a value with many significant digits
+        pi = 3.141592653589793
+        response = GetOnlineFeaturesResponse()
+        fv = response.results.add()
+        fv.values.append(Value(double_val=pi))
+        fv.statuses.append(FieldStatus.PRESENT)
+
+        result = convert_response_to_dict(response)
+        value = result["results"][0]["values"][0]
+
+        # Value must round-trip correctly through json.dumps
+        assert value == pi
+        round_tripped = json.loads(json.dumps(value))
+        assert round_tripped == pi
+        # Verify it encodes as the same float64 bit pattern
+        assert struct.pack("d", value) == struct.pack("d", pi)
+
     def test_set_types_return_flat_list(self):
         """set types (string_set_val, int64_set_val, etc.) return flat lists.