[GraphBolt] support both pydantic 1.x and 2.x (#6411)

Co-authored-by: Hongzhi (Steve), Chen <chenhongzhi.nkcs@gmail.com>

python/dgl/graphbolt/__init__.py

@@ -28,14 +28,14 @@ from .utils import (
 
 def load_graphbolt():
     """Load Graphbolt C++ library"""
-    version = torch.__version__.split("+", maxsplit=1)[0]
+    vers = torch.__version__.split("+", maxsplit=1)[0]
 
     if sys.platform.startswith("linux"):
-        basename = f"libgraphbolt_pytorch_{version}.so"
+        basename = f"libgraphbolt_pytorch_{vers}.so"
     elif sys.platform.startswith("darwin"):
-        basename = f"libgraphbolt_pytorch_{version}.dylib"
+        basename = f"libgraphbolt_pytorch_{vers}.dylib"
     elif sys.platform.startswith("win"):
-        basename = f"graphbolt_pytorch_{version}.dll"
+        basename = f"graphbolt_pytorch_{vers}.dll"
     else:
         raise NotImplementedError("Unsupported system: %s" % sys.platform)
 

python/dgl/graphbolt/impl/ondisk_metadata.py

@@ -5,6 +5,8 @@ from typing import Any, Dict, List, Optional
 
 import pydantic
 
+from ...utils import version
+
 __all__ = [
     "OnDiskFeatureDataFormat",
     "OnDiskTVTSetData",
@@ -80,6 +82,11 @@ class OnDiskTaskData(pydantic.BaseModel, extra="allow"):
     test_set: Optional[List[OnDiskTVTSet]] = []
     extra_fields: Optional[Dict[str, Any]] = {}
 
+    # As pydantic 2.0 has changed the API of validators, we need to use
+    # different validators for different versions to be compatible with
+    # previous versions.
+    if version.parse(pydantic.__version__) >= version.parse("2.0"):
+
         @pydantic.model_validator(mode="before")
         @classmethod
         def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
@@ -90,6 +97,18 @@ class OnDiskTaskData(pydantic.BaseModel, extra="allow"):
                     values["extra_fields"][key] = values.pop(key)
             return values
 
+    else:
+
+        @pydantic.root_validator(pre=True)
+        @classmethod
+        def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
+            """Build extra fields."""
+            for key in list(values.keys()):
+                if key not in ["train_set", "validation_set", "test_set"]:
+                    values["extra_fields"] = values.get("extra_fields", {})
+                    values["extra_fields"][key] = values.pop(key)
+            return values
+
 
 class OnDiskMetaData(pydantic.BaseModel):
     """Metadata specification in YAML.

tests/python/pytorch/graphbolt/impl/test_ondisk_dataset.py

@@ -1582,7 +1582,9 @@ def test_OnDiskDataset_load_graph():
         dataset.yaml_data["graph_topology"]["type"] = "fake_type"
         with pytest.raises(
             pydantic.ValidationError,
-            match="Input should be 'CSCSamplingGraph'",
+            # As error message diffs in pydantic 1.x and 2.x, we just match
+            # keyword only.
+            match="'CSCSamplingGraph'",
         ):
             dataset.load()