chore(internal): codegen related update (#52)

Author: stainless-app[bot]

README.md

@@ -235,12 +235,14 @@ Note that requests that time out are [retried twice by default](#retries).
 
 We use the standard library [`logging`](https://docs.python.org/3/library/logging.html) module.
 
-You can enable logging by setting the environment variable `ASKTABLE_LOG` to `debug`.
+You can enable logging by setting the environment variable `ASKTABLE_LOG` to `info`.
 
 ```shell
-$ export ASKTABLE_LOG=debug
+$ export ASKTABLE_LOG=info
 ```
 
+Or to `debug` for more verbose logging.
+
 ### How to tell whether `None` means `null` or missing
 
 In an API response, a field may be explicitly `null`, or missing entirely; in either case, its value is `None` in this library. You can differentiate the two cases with `.model_fields_set`:

pyproject.toml

@@ -14,7 +14,6 @@ dependencies = [
     "anyio>=3.5.0, <5",
     "distro>=1.7.0, <2",
     "sniffio",
-    "cached-property; python_version < '3.8'",
 ]
 requires-python = ">= 3.8"
 classifiers = [

src/asktable/_compat.py

@@ -145,7 +145,8 @@ def model_dump(
             exclude=exclude,
             exclude_unset=exclude_unset,
             exclude_defaults=exclude_defaults,
-            warnings=warnings,
+            # warnings are not supported in Pydantic v1
+            warnings=warnings if PYDANTIC_V2 else True,
         )
     return cast(
         "dict[str, Any]",
@@ -213,9 +214,6 @@ def __set_name__(self, owner: type[Any], name: str) -> None: ...
         # __set__ is not defined at runtime, but @cached_property is designed to be settable
         def __set__(self, instance: object, value: _T) -> None: ...
 else:
-    try:
-        from functools import cached_property as cached_property
-    except ImportError:
-        from cached_property import cached_property as cached_property
+    from functools import cached_property as cached_property
 
     typed_cached_property = cached_property

tests/test_models.py

@@ -561,6 +561,14 @@ class Model(BaseModel):
             m.model_dump(warnings=False)
 
 
+def test_compat_method_no_error_for_warnings() -> None:
+    class Model(BaseModel):
+        foo: Optional[str]
+
+    m = Model(foo="hello")
+    assert isinstance(model_dump(m, warnings=False), dict)
+
+
 def test_to_json() -> None:
     class Model(BaseModel):
         foo: Optional[str] = Field(alias="FOO", default=None)