fix DataFrame Pydantic compatibility

pandera/typing/pandas.py

@@ -29,6 +29,7 @@
     SeriesBase,
 )
 from pandera.typing.formats import Formats
+from pandera.config import config_context
 
 try:
     from typing import get_args
@@ -191,12 +192,28 @@ def _get_schema_model(cls, field):
         def __get_pydantic_core_schema__(
             cls, _source_type: Any, _handler: GetCoreSchemaHandler
         ) -> core_schema.CoreSchema:
-            schema_model = get_args(_source_type)[0]
+            with config_context(validation_enabled=False):
+                schema_model = _source_type().__orig_class__.__args__[0]
+                schema = schema_model.to_schema()
+            type_map = {
+                "str": core_schema.str_schema(),
+                "int64": core_schema.int_schema(),
+                "float64": core_schema.float_schema(),
+                "bool": core_schema.bool_schema(),
+                "datetime64[ns]": core_schema.datetime_schema()
+            }
             return core_schema.no_info_plain_validator_function(
-                functools.partial(
+                    functools.partial(
                     cls.pydantic_validate,
                     schema_model=schema_model,
                 ),
+                json_schema_input_schema=core_schema.list_schema(
+                core_schema.typed_dict_schema(
+                    {
+                        i:core_schema.typed_dict_field(type_map[str(j.dtype)]) for i,j in schema.columns.items()
+                    },
+                )
+            )
             )
 
     else: