vdk-impala: support also pydantic 1.0

Make sure vdk-impala works with pydantic 1.0 as this is still used and
some libraries do not support the new version.

In hindsight I probably should have pinned to 1.0 only . But I did not
and it's good idea to support the new version otherwise at some point in
the future it will cause conflicts and problems as other library
adopted.

projects/vdk-plugins/vdk-impala/src/vdk/plugin/impala/templates/load/versioned/00-versioned-definition.py

@@ -3,8 +3,6 @@
 from typing import List
 
 from pydantic import BaseModel
-from pydantic import field_validator
-from pydantic import FieldValidationInfo
 from vdk.api.job_input import IJobInput
 from vdk.plugin.impala.templates.template_arguments_validator import (
     TemplateArgumentsValidator,
@@ -25,11 +23,9 @@ class LoadVersionedParams(BaseModel):
     active_to_column: str = "active_to"
     active_to_max_value: str = "9999-12-31"
 
-    @field_validator("tracked_columns")
-    def tracked_columns_subset_of_value_columns(
-        cls, tracked_columns: List[str], values: FieldValidationInfo, **kwargs
+    def _validate_tracked_columns_subset_of_value_columns(
+        self, tracked_columns: List[str], value_columns: List[str]
     ):
-        value_columns = values.data["value_columns"]
         if type(value_columns) == list and not tracked_columns:
             raise ValueError("The list must contain at least one column")
         if type(value_columns) == list == type(value_columns) and not set(
@@ -38,7 +34,33 @@ def tracked_columns_subset_of_value_columns(
             raise ValueError(
                 "All elements in the list must be also present in `value_columns`"
             )
-        return tracked_columns
+
+    try:
+        from pydantic import field_validator
+        from pydantic import FieldValidationInfo
+
+        @field_validator("tracked_columns", allow_reuse=True)
+        def tracked_columns_subset_of_value_columns(
+            cls, tracked_columns: List[str], values: FieldValidationInfo, **kwargs
+        ):
+            value_columns = values.data["value_columns"]
+            self._validate_tracked_columns_subset_of_value_columns(
+                tracked_columns, value_columns
+            )
+            return tracked_columns
+
+    except ImportError:
+        from pydantic import validator
+
+        @validator("tracked_columns", allow_reuse=True)
+        def tracked_columns_subset_of_value_columns(
+            cls, tracked_columns, values, **kwargs
+        ):
+            value_columns = values.get("value_columns")
+            self._validate_tracked_columns_subset_of_value_columns(
+                tracked_columns, value_columns
+            )
+            return tracked_columns
 
 
 class LoadVersioned(TemplateArgumentsValidator):