Tests for coverage and sqlalchemy

* avoid connection issues
* Add tests for coverage (coordinate)

fastapi/encoders.py

@@ -38,7 +38,7 @@ try:
     from pydantic_extra_types import coordinate
 
     encoders_by_extra_type: dict[type[Any], Callable[[Any], Any]] = {
-        coordinate.Coordinate: str,
+        coordinate.Coordinate: lambda o: {"latitude": o.latitude, "longitude": o.longitude},
         et_color.Color: str,
     }
 except ImportError:
@@ -328,6 +328,24 @@ def jsonable_encoder(
                 encoded_dict[encoded_key] = encoded_value
         return encoded_dict
 
+    # Check if it's a named tuple, and if so, encode it as a dict (instead of a list) if `named_tuple_as_dict` is `True`.
+    if (
+        named_tuple_as_dict
+        and getattr(obj, "_asdict", None) is not None
+        and callable(obj._asdict)
+    ):
+        return jsonable_encoder(
+            obj._asdict(),
+            include=include,
+            exclude=exclude,
+            by_alias=by_alias,
+            exclude_unset=exclude_unset,
+            exclude_defaults=exclude_defaults,
+            exclude_none=exclude_none,
+            custom_encoder=custom_encoder,
+            sqlalchemy_safe=sqlalchemy_safe,
+        )
+
     # Note that we check for `Sequence` and not `list` because we want to support any kind of sequence, like `list`, `tuple`, `set`, etc.
     # Also, we check that it's not a `bytes` object, because `bytes` is also a `Sequence`, but we want to rely on the TYPE_ENCODERS for `bytes` and avoid code duplication.
     if isinstance(obj, (Sequence, GeneratorType)) and not isinstance(obj, bytes):
@@ -348,23 +366,6 @@ def jsonable_encoder(
             )
         return encoded_list
 
-    if (
-        named_tuple_as_dict
-        and getattr(obj, "_asdict", None) is not None
-        and callable(obj._asdict)
-    ):
-        return jsonable_encoder(
-            obj._asdict(),
-            include=include,
-            exclude=exclude,
-            by_alias=by_alias,
-            exclude_unset=exclude_unset,
-            exclude_defaults=exclude_defaults,
-            exclude_none=exclude_none,
-            custom_encoder=custom_encoder,
-            sqlalchemy_safe=sqlalchemy_safe,
-        )
-
     if type(obj) in encoders_by_extra_type:
         return encoders_by_extra_type[type(obj)](obj)
     if type(obj) in ENCODERS_BY_TYPE:

tests/test_jsonable_encoder.py

@@ -1,5 +1,5 @@
 import warnings
-from collections import deque
+from collections import deque, namedtuple
 from collections.abc import Sequence
 from dataclasses import dataclass
 from datetime import datetime, timezone
@@ -7,7 +7,7 @@ from decimal import Decimal
 from enum import Enum
 from math import isinf, isnan
 from pathlib import PurePath, PurePosixPath, PureWindowsPath
-from typing import Optional, TypedDict, Union
+from typing import NamedTuple, Optional, TypedDict, Union
 
 import pytest
 from fastapi._compat import Undefined
@@ -326,4 +326,104 @@ def test_encode_sequence():
             return len(self._items)
 
     seq = SequenceModel(["item1", "item2", "item3"])
+    assert len(seq) == 3
     assert jsonable_encoder(seq) == ["item1", "item2", "item3"]
+
+
+def test_encode_bytes():
+    assert jsonable_encoder(b"hello") == "hello"
+
+
+def test_encode_bytes_in_dict():
+    data = {"content": b"hello", "name": "test"}
+    assert jsonable_encoder(data) == {"content": "hello", "name": "test"}
+
+
+def test_encode_list_of_bytes():
+    data = [b"hello", b"world"]
+    assert jsonable_encoder(data) == ["hello", "world"]
+
+
+def test_encode_generator():
+    def gen():
+        yield 1
+        yield 2
+        yield 3
+
+    assert jsonable_encoder(gen()) == [1, 2, 3]
+
+
+def test_encode_generator_of_bytes():
+    def gen():
+        yield b"hello"
+        yield b"world"
+
+    assert jsonable_encoder(gen()) == ["hello", "world"]
+
+
+def test_encode_named_tuple_as_list():
+    Point = namedtuple("Point", ["x", "y"])
+    p = Point(1, 2)
+    assert jsonable_encoder(p) == [1, 2]
+
+
+def test_encode_named_tuple_as_dict():
+    Point = namedtuple("Point", ["x", "y"])
+    p = Point(1, 2)
+    assert jsonable_encoder(p, named_tuple_as_dict=True) == {"x": 1, "y": 2}
+
+
+def test_encode_typed_named_tuple_as_list():
+    class Point(NamedTuple):
+        x: int
+        y: int
+
+    p = Point(1, 2)
+    assert jsonable_encoder(p) == [1, 2]
+
+
+def test_encode_typed_named_tuple_as_dict():
+    class Point(NamedTuple):
+        x: int
+        y: int
+
+    p = Point(1, 2)
+    assert jsonable_encoder(p, named_tuple_as_dict=True) == {"x": 1, "y": 2}
+
+
+def test_encode_sqlalchemy_safe_filters_sa_keys():
+    data = {"name": "test", "_sa_instance_state": "internal"}
+    assert jsonable_encoder(data, sqlalchemy_safe=True) == {"name": "test"}
+    assert jsonable_encoder(data, sqlalchemy_safe=False) == {
+        "name": "test",
+        "_sa_instance_state": "internal",
+    }
+
+
+def test_encode_sqlalchemy_row_as_list():
+    sa = pytest.importorskip("sqlalchemy")
+    engine = sa.create_engine("sqlite:///:memory:")
+    with engine.connect() as conn:
+        row = conn.execute(sa.text("SELECT 1 AS x, 2 AS y")).fetchone()
+    engine.dispose()
+    assert row is not None
+    assert jsonable_encoder(row) == [1, 2]
+
+
+def test_encode_sqlalchemy_row_as_dict():
+    sa = pytest.importorskip("sqlalchemy")
+    engine = sa.create_engine("sqlite:///:memory:")
+    with engine.connect() as conn:
+        row = conn.execute(sa.text("SELECT 1 AS x, 2 AS y")).fetchone()
+    engine.dispose()
+    assert row is not None
+    assert jsonable_encoder(row, named_tuple_as_dict=True) == {"x": 1, "y": 2}
+
+
+def test_encode_pydantic_extra_types_coordinate():
+    coordinate = pytest.importorskip("pydantic_extra_types.coordinate")
+    coord = coordinate.Coordinate(latitude=1.0, longitude=2.0)
+    assert jsonable_encoder(coord) != str(coord)
+    assert jsonable_encoder(coord) == {"latitude": 1.0, "longitude": 2.0}
+
+