feat: Add python bytes to array type conversion support proto (#3874)

* feat: add redis sentinel support format lint

Signed-off-by: snowron <[email protected]>
Signed-off-by: Rob Howley <[email protected]>

* chore: Bump pyarrow

Bumps [pyarrow](https://github.com/apache/arrow) from 6.0.0 to 14.0.1.
- [Commits](apache/arrow@go/arrow/v6.0.0...apache-arrow-14.0.1)

---
updated-dependencies:
- dependency-name: pyarrow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>
Signed-off-by: Rob Howley <[email protected]>

* fix: upgrade the pyarrow to latest v14.0.1 for CVE-2023-47248.

Signed-off-by: Shuchu Han <[email protected]>
Signed-off-by: Rob Howley <[email protected]>

* feat: add bytes to array type conversion in python -> proto

Signed-off-by: Rob Howley <[email protected]>

* ignore type like in other proto val assignments

Signed-off-by: Rob Howley <[email protected]>

* run black

Signed-off-by: Rob Howley <[email protected]>

* floats can also appear as ints

Signed-off-by: Rob Howley <[email protected]>

---------

Signed-off-by: snowron <[email protected]>
Signed-off-by: Rob Howley <[email protected]>
Signed-off-by: dependabot[bot] <[email protected]>
Signed-off-by: Shuchu Han <[email protected]>
Co-authored-by: snowron <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Shuchu Han <[email protected]>
Co-authored-by: Rob Howley <[email protected]>

sdk/python/feast/type_map.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import json
 from collections import defaultdict
 from datetime import datetime, timezone
 from typing import (
@@ -297,7 +298,7 @@ def _type_err(item, dtype):
         None,
     ),
     ValueType.FLOAT: ("float_val", lambda x: float(x), None),
-    ValueType.DOUBLE: ("double_val", lambda x: x, {float, np.float64}),
+    ValueType.DOUBLE: ("double_val", lambda x: x, {float, np.float64, int, np.int_}),
     ValueType.STRING: ("string_val", lambda x: str(x), None),
     ValueType.BYTES: ("bytes_val", lambda x: x, {bytes}),
     ValueType.BOOL: ("bool_val", lambda x: x, {bool, np.bool_, int, np.int_}),
@@ -353,6 +354,19 @@ def _python_value_to_proto_value(
                 feast_value_type
             ]
 
+            # Bytes to array type conversion
+            if isinstance(sample, (bytes, bytearray)):
+                # Bytes of an array containing elements of bytes not supported
+                if feast_value_type == ValueType.BYTES_LIST:
+                    raise _type_err(sample, ValueType.BYTES_LIST)
+
+                json_value = json.loads(sample)
+                if isinstance(json_value, list):
+                    if feast_value_type == ValueType.BOOL_LIST:
+                        json_value = [bool(item) for item in json_value]
+                    return [ProtoValue(**{field_name: proto_type(val=json_value)})]  # type: ignore
+                raise _type_err(sample, valid_types[0])
+
             if sample is not None and not all(
                 type(item) in valid_types for item in sample
             ):
@@ -631,6 +645,7 @@ def redshift_to_feast_value_type(redshift_type_as_str: str) -> ValueType:
         "varchar": ValueType.STRING,
         "timestamp": ValueType.UNIX_TIMESTAMP,
         "timestamptz": ValueType.UNIX_TIMESTAMP,
+        "super": ValueType.BYTES,
         # skip date, geometry, hllsketch, time, timetz
     }
 

sdk/python/tests/unit/test_type_map.py

@@ -48,3 +48,35 @@ def test_python_values_to_proto_values_bool(values):
     converted = feast_value_type_to_python_type(protos[0])
 
     assert converted is bool(values[0])
+
+
+@pytest.mark.parametrize(
+    "values, value_type, expected",
+    (
+        (np.array([b"[1,2,3]"]), ValueType.INT64_LIST, [1, 2, 3]),
+        (np.array([b"[1,2,3]"]), ValueType.INT32_LIST, [1, 2, 3]),
+        (np.array([b"[1.5,2.5,3.5]"]), ValueType.FLOAT_LIST, [1.5, 2.5, 3.5]),
+        (np.array([b"[1.5,2.5,3.5]"]), ValueType.DOUBLE_LIST, [1.5, 2.5, 3.5]),
+        (np.array([b'["a","b","c"]']), ValueType.STRING_LIST, ["a", "b", "c"]),
+        (np.array([b"[true,false]"]), ValueType.BOOL_LIST, [True, False]),
+        (np.array([b"[1,0]"]), ValueType.BOOL_LIST, [True, False]),
+        (np.array([None]), ValueType.STRING_LIST, None),
+        ([b"[1,2,3]"], ValueType.INT64_LIST, [1, 2, 3]),
+        ([b"[1,2,3]"], ValueType.INT32_LIST, [1, 2, 3]),
+        ([b"[1.5,2.5,3.5]"], ValueType.FLOAT_LIST, [1.5, 2.5, 3.5]),
+        ([b"[1.5,2.5,3.5]"], ValueType.DOUBLE_LIST, [1.5, 2.5, 3.5]),
+        ([b'["a","b","c"]'], ValueType.STRING_LIST, ["a", "b", "c"]),
+        ([b"[true,false]"], ValueType.BOOL_LIST, [True, False]),
+        ([b"[1,0]"], ValueType.BOOL_LIST, [True, False]),
+        ([None], ValueType.STRING_LIST, None),
+    ),
+)
+def test_python_values_to_proto_values_bytes_to_list(values, value_type, expected):
+    protos = python_values_to_proto_values(values, value_type)
+    converted = feast_value_type_to_python_type(protos[0])
+    assert converted == expected
+
+
+def test_python_values_to_proto_values_bytes_to_list_not_supported():
+    with pytest.raises(TypeError):
+        _ = python_values_to_proto_values([b"[]"], ValueType.BYTES_LIST)