Handles case where input was series with time index

So we need to fix the inputs and introspecting them. This is
a quick fix to not fail when someone applies the SDK to the
quick start example.

ui/sdk/src/hamilton_sdk/tracking/utils.py

@@ -44,6 +44,10 @@ def make_json_safe(item: Union[dict, list, str, float, int, bool]) -> Any:
         return make_json_safe(dataclasses.asdict(item))
     elif isinstance(item, Enum):
         return item.value  # Convert enum to its corresponding value
+    elif hasattr(item, "to_json"):
+        # we convert to json string and then deserialize it so that
+        # it's not a string in the UI.
+        return json.loads(item.to_json())
     elif hasattr(item, "to_dict"):
         return make_json_safe(item.to_dict())
     else:

ui/sdk/tests/tracking/test_utils.py

@@ -95,12 +95,29 @@ def test_make_json_safe_with_pandas_dataframe():
             "F": "foo",
         }
     )
-    utils.make_json_safe(input_dataframe)
+    actual = utils.make_json_safe(input_dataframe)
+    assert actual == {
+        "A": {"0": 1.0, "1": 1.0, "2": 1.0, "3": 1.0},
+        "B": {"0": 1357084800000, "1": 1357084800000, "2": 1357084800000, "3": 1357084800000},
+        "C": {"0": 1.0, "1": 1.0, "2": 1.0, "3": 1.0},
+        "D": {"0": 3, "1": 3, "2": 3, "3": 3},
+        "E": {"0": "test", "1": "train", "2": "test", "3": "train"},
+        "F": {"0": "foo", "1": "foo", "2": "foo", "3": "foo"},
+    }
 
 
 def test_make_json_safe_with_pandas_series():
-    input_series = pd.Series(["a", "b", "c", "d"])
-    utils.make_json_safe(input_series)
+    index = pd.date_range("2022-01-01", periods=6, freq="w")
+    input_series = pd.Series([1, 10, 50, 100, 200, 400], index=index)
+    actual = utils.make_json_safe(input_series)
+    assert actual == {
+        "1641081600000": 1,
+        "1641686400000": 10,
+        "1642291200000": 50,
+        "1642896000000": 100,
+        "1643500800000": 200,
+        "1644105600000": 400,
+    }
 
 
 def test_make_json_safe_with_file_object(tmp_path):