chore: rebuild project due to codegen change (#518)

Author: stainless-app[bot]

README.md

@@ -2,7 +2,7 @@
 
 [![PyPI version](https://img.shields.io/pypi/v/finch-api.svg)](https://pypi.org/project/finch-api/)
 
-The Finch Python library provides convenient access to the Finch REST API from any Python 3.7+
+The Finch Python library provides convenient access to the Finch REST API from any Python 3.8+
 application. The library includes type definitions for all request params and response fields,
 and offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx).
 
@@ -429,7 +429,7 @@ print(finch.__version__)
 
 ## Requirements
 
-Python 3.7 or higher.
+Python 3.8 or higher.
 
 ## Contributing
 

pyproject.toml

@@ -16,11 +16,10 @@ dependencies = [
     "sniffio",
     "cached-property; python_version < '3.8'",
 ]
-requires-python = ">= 3.7"
+requires-python = ">= 3.8"
 classifiers = [
   "Typing :: Typed",
   "Intended Audience :: Developers",
-  "Programming Language :: Python :: 3.7",
   "Programming Language :: Python :: 3.8",
   "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
@@ -139,7 +138,7 @@ filterwarnings = [
 # there are a couple of flags that are still disabled by
 # default in strict mode as they are experimental and niche.
 typeCheckingMode = "strict"
-pythonVersion = "3.7"
+pythonVersion = "3.8"
 
 exclude = [
     "_dev",

src/finch/_compat.py

@@ -2,7 +2,7 @@
 
 from typing import TYPE_CHECKING, Any, Union, Generic, TypeVar, Callable, cast, overload
 from datetime import date, datetime
-from typing_extensions import Self
+from typing_extensions import Self, Literal
 
 import pydantic
 from pydantic.fields import FieldInfo
@@ -137,9 +137,11 @@ def model_dump(
     exclude_unset: bool = False,
     exclude_defaults: bool = False,
     warnings: bool = True,
+    mode: Literal["json", "python"] = "python",
 ) -> dict[str, Any]:
-    if PYDANTIC_V2:
+    if PYDANTIC_V2 or hasattr(model, "model_dump"):
         return model.model_dump(
+            mode=mode,
             exclude=exclude,
             exclude_unset=exclude_unset,
             exclude_defaults=exclude_defaults,

src/finch/_models.py

@@ -37,6 +37,7 @@
     PropertyInfo,
     is_list,
     is_given,
+    json_safe,
     lru_cache,
     is_mapping,
     parse_date,
@@ -279,8 +280,8 @@ def model_dump(
             Returns:
                 A dictionary representation of the model.
             """
-            if mode != "python":
-                raise ValueError("mode is only supported in Pydantic v2")
+            if mode not in {"json", "python"}:
+                raise ValueError("mode must be either 'json' or 'python'")
             if round_trip != False:
                 raise ValueError("round_trip is only supported in Pydantic v2")
             if warnings != True:
@@ -289,7 +290,7 @@ def model_dump(
                 raise ValueError("context is only supported in Pydantic v2")
             if serialize_as_any != False:
                 raise ValueError("serialize_as_any is only supported in Pydantic v2")
-            return super().dict(  # pyright: ignore[reportDeprecated]
+            dumped = super().dict(  # pyright: ignore[reportDeprecated]
                 include=include,
                 exclude=exclude,
                 by_alias=by_alias,
@@ -298,6 +299,8 @@ def model_dump(
                 exclude_none=exclude_none,
             )
 
+            return cast(dict[str, Any], json_safe(dumped)) if mode == "json" else dumped
+
         @override
         def model_dump_json(
             self,

src/finch/_utils/__init__.py

@@ -6,6 +6,7 @@
     is_list as is_list,
     is_given as is_given,
     is_tuple as is_tuple,
+    json_safe as json_safe,
     lru_cache as lru_cache,
     is_mapping as is_mapping,
     is_tuple_t as is_tuple_t,

src/finch/_utils/_transform.py

@@ -173,6 +173,11 @@ def _transform_recursive(
         # Iterable[T]
         or (is_iterable_type(stripped_type) and is_iterable(data) and not isinstance(data, str))
     ):
+        # dicts are technically iterable, but it is an iterable on the keys of the dict and is not usually
+        # intended as an iterable, so we don't transform it.
+        if isinstance(data, dict):
+            return cast(object, data)
+
         inner_type = extract_type_arg(stripped_type, 0)
         return [_transform_recursive(d, annotation=annotation, inner_type=inner_type) for d in data]
 
@@ -186,7 +191,7 @@ def _transform_recursive(
         return data
 
     if isinstance(data, pydantic.BaseModel):
-        return model_dump(data, exclude_unset=True)
+        return model_dump(data, exclude_unset=True, mode="json")
 
     annotated_type = _get_annotated_type(annotation)
     if annotated_type is None:
@@ -324,7 +329,7 @@ async def _async_transform_recursive(
         return data
 
     if isinstance(data, pydantic.BaseModel):
-        return model_dump(data, exclude_unset=True)
+        return model_dump(data, exclude_unset=True, mode="json")
 
     annotated_type = _get_annotated_type(annotation)
     if annotated_type is None:

src/finch/_utils/_utils.py

@@ -16,6 +16,7 @@
     overload,
 )
 from pathlib import Path
+from datetime import date, datetime
 from typing_extensions import TypeGuard
 
 import sniffio
@@ -395,3 +396,19 @@ def lru_cache(*, maxsize: int | None = 128) -> Callable[[CallableT], CallableT]:
         maxsize=maxsize,
     )
     return cast(Any, wrapper)  # type: ignore[no-any-return]
+
+
+def json_safe(data: object) -> object:
+    """Translates a mapping / sequence recursively in the same fashion
+    as `pydantic` v2's `model_dump(mode="json")`.
+    """
+    if is_mapping(data):
+        return {json_safe(key): json_safe(value) for key, value in data.items()}
+
+    if is_iterable(data) and not isinstance(data, (str, bytes, bytearray)):
+        return [json_safe(item) for item in data]
+
+    if isinstance(data, (datetime, date)):
+        return data.isoformat()
+
+    return data

tests/test_client.py

@@ -810,7 +810,7 @@ class Model(BaseModel):
             [3, "", 0.5],
             [2, "", 0.5 * 2.0],
             [1, "", 0.5 * 4.0],
-            [-1100, "", 7.8],  # test large number potentially overflowing
+            [-1100, "", 8],  # test large number potentially overflowing
         ],
     )
     @mock.patch("time.time", mock.MagicMock(return_value=1696004797))
@@ -1697,7 +1697,7 @@ class Model(BaseModel):
             [3, "", 0.5],
             [2, "", 0.5 * 2.0],
             [1, "", 0.5 * 4.0],
-            [-1100, "", 7.8],  # test large number potentially overflowing
+            [-1100, "", 8],  # test large number potentially overflowing
         ],
     )
     @mock.patch("time.time", mock.MagicMock(return_value=1696004797))

tests/test_models.py

@@ -520,19 +520,15 @@ class Model(BaseModel):
     assert m3.to_dict(exclude_none=True) == {}
     assert m3.to_dict(exclude_defaults=True) == {}
 
-    if PYDANTIC_V2:
-
-        class Model2(BaseModel):
-            created_at: datetime
+    class Model2(BaseModel):
+        created_at: datetime
 
-        time_str = "2024-03-21T11:39:01.275859"
-        m4 = Model2.construct(created_at=time_str)
-        assert m4.to_dict(mode="python") == {"created_at": datetime.fromisoformat(time_str)}
-        assert m4.to_dict(mode="json") == {"created_at": time_str}
-    else:
-        with pytest.raises(ValueError, match="mode is only supported in Pydantic v2"):
-            m.to_dict(mode="json")
+    time_str = "2024-03-21T11:39:01.275859"
+    m4 = Model2.construct(created_at=time_str)
+    assert m4.to_dict(mode="python") == {"created_at": datetime.fromisoformat(time_str)}
+    assert m4.to_dict(mode="json") == {"created_at": time_str}
 
+    if not PYDANTIC_V2:
         with pytest.raises(ValueError, match="warnings is only supported in Pydantic v2"):
             m.to_dict(warnings=False)
 
@@ -558,9 +554,6 @@ class Model(BaseModel):
     assert m3.model_dump(exclude_none=True) == {}
 
     if not PYDANTIC_V2:
-        with pytest.raises(ValueError, match="mode is only supported in Pydantic v2"):
-            m.model_dump(mode="json")
-
         with pytest.raises(ValueError, match="round_trip is only supported in Pydantic v2"):
             m.model_dump(round_trip=True)
 

tests/test_transform.py

@@ -177,17 +177,32 @@ class DateDict(TypedDict, total=False):
     foo: Annotated[date, PropertyInfo(format="iso8601")]
 
 
+class DatetimeModel(BaseModel):
+    foo: datetime
+
+
+class DateModel(BaseModel):
+    foo: Optional[date]
+
+
 @parametrize
 @pytest.mark.asyncio
 async def test_iso8601_format(use_async: bool) -> None:
     dt = datetime.fromisoformat("2023-02-23T14:16:36.337692+00:00")
+    tz = "Z" if PYDANTIC_V2 else "+00:00"
     assert await transform({"foo": dt}, DatetimeDict, use_async) == {"foo": "2023-02-23T14:16:36.337692+00:00"}  # type: ignore[comparison-overlap]
+    assert await transform(DatetimeModel(foo=dt), Any, use_async) == {"foo": "2023-02-23T14:16:36.337692" + tz}  # type: ignore[comparison-overlap]
 
     dt = dt.replace(tzinfo=None)
     assert await transform({"foo": dt}, DatetimeDict, use_async) == {"foo": "2023-02-23T14:16:36.337692"}  # type: ignore[comparison-overlap]
+    assert await transform(DatetimeModel(foo=dt), Any, use_async) == {"foo": "2023-02-23T14:16:36.337692"}  # type: ignore[comparison-overlap]
 
     assert await transform({"foo": None}, DateDict, use_async) == {"foo": None}  # type: ignore[comparison-overlap]
+    assert await transform(DateModel(foo=None), Any, use_async) == {"foo": None}  # type: ignore
     assert await transform({"foo": date.fromisoformat("2023-02-23")}, DateDict, use_async) == {"foo": "2023-02-23"}  # type: ignore[comparison-overlap]
+    assert await transform(DateModel(foo=date.fromisoformat("2023-02-23")), DateDict, use_async) == {
+        "foo": "2023-02-23"
+    }  # type: ignore[comparison-overlap]
 
 
 @parametrize