Feat/pydantic serialization

HISTORY.md

@@ -1,5 +1,8 @@
 # cloudpathlib Changelog
 
+## UNRELEASED
+- Added support for Pydantic serialization (Issue [#537](https://github.com/drivendataorg/cloudpathlib/issues/537), PR [#538](https://github.com/drivendataorg/cloudpathlib/pull/538))
+
 ## v0.23.0 (2025-10-07)
 
 - Added support for Python 3.14 (Issue [#529](https://github.com/drivendataorg/cloudpathlib/issues/529), PR [#530](https://github.com/drivendataorg/cloudpathlib/pull/530))

cloudpathlib/anypath.py

@@ -48,6 +48,10 @@ def __get_pydantic_core_schema__(cls, _source_type: Any, _handler):
             return core_schema.no_info_after_validator_function(
                 cls.validate,
                 core_schema.any_schema(),
+                serialization=core_schema.plain_serializer_function_ser_schema(
+                    lambda x: str(x),
+                    return_schema=core_schema.str_schema(),
+                ),
             )
         except ImportError:
             return None

cloudpathlib/cloudpath.py

@@ -1593,6 +1593,10 @@ def __get_pydantic_core_schema__(cls, _source_type: Any, _handler):
             return core_schema.no_info_after_validator_function(
                 cls.validate,
                 core_schema.any_schema(),
+                serialization=core_schema.plain_serializer_function_ser_schema(
+                    lambda x: str(x),
+                    return_schema=core_schema.str_schema(),
+                ),
             )
         except ImportError:
             return None

docs/docs/integrations.md

@@ -14,6 +14,8 @@ class MyModel(BaseModel):
 inst = MyModel(s3_file="s3://mybucket/myfile.txt")
 inst.s3_file
 #> S3Path('s3://mybucket/myfile.txt')
+inst.model_dump_json()
+#> '{"s3_file":"s3://mybucket/myfile.txt"}'
 ```
 
 This also works with the `AnyPath` polymorphic class. Inputs will get dispatched and instantiated as the appropriate class.
@@ -32,6 +34,23 @@ fancy1.path
 fancy2 = FancyModel(path="mydir/myfile.txt")
 fancy2.path
 #> PosixPath('mydir/myfile.txt')
+fancy2.model_dump_json()
+#> '{"path":"mydir/myfile.txt"}'
+```
+
+As seen above, the default serialization uses the URI but Pydantic supports custom serializers.
+
+```python
+from typing import Annotated
+from cloudpathlib import S3Path
+from pydantic import BaseModel, PlainSerializer
+
+class MyModel(BaseModel):
+    s3_file: Annotated[S3Path, PlainSerializer(lambda x: x.as_url())]
+
+inst = MyModel(s3_file="s3://mybucket/myfile.txt")
+inst.model_dump_json()
+#> '{"s3_file":"https://mybucket.s3.amazonaws.com/myfile.txt"}'
 ```
 
 ---

tests/test_integrations.py

@@ -14,9 +14,11 @@ class PydanticModel(BaseModel):
 
     obj = PydanticModel(cloud_path=cp)
     assert obj.cloud_path == cp
+    assert obj.model_dump_json() == f'{{"cloud_path":"{cp}"}}'
 
     obj = PydanticModel(cloud_path=str(cp))
     assert obj.cloud_path == cp
+    assert obj.model_dump_json() == f'{{"cloud_path":"{cp}"}}'
 
     with pytest.raises(ValidationError):
         _ = PydanticModel(cloud_path=0)
@@ -30,9 +32,11 @@ class PydanticModel(BaseModel):
 
     obj = PydanticModel(any_path=cp)
     assert obj.any_path == cp
+    assert obj.model_dump_json() == f'{{"any_path":"{cp}"}}'
 
     obj = PydanticModel(any_path=str(cp))
     assert obj.any_path == cp
+    assert obj.model_dump_json() == f'{{"any_path":"{cp}"}}'
 
     obj = PydanticModel(any_path=Path("a/b/c"))
     assert obj.any_path == Path("a/b/c")