Ran pydantic update tool on clem files

Author: stephen-riggs

src/murfey/server/api/clem.py

@@ -10,7 +10,7 @@
 
 from backports.entry_points_selectable import entry_points
 from fastapi import APIRouter
-from pydantic import BaseModel, validator
+from pydantic import BaseModel, field_validator
 from sqlalchemy.exc import NoResultFound
 from sqlmodel import Session, select
 
@@ -707,10 +707,8 @@ class AlignAndMergeParams(BaseModel):
     flatten: Literal["mean", "min", "max", ""] = ""
     align_across: Literal["enabled", ""] = ""
 
-    @validator(
-        "images",
-        pre=True,
-    )
+    @field_validator("images", mode="before")
+    @classmethod
     def parse_stringified_list(cls, value):
         if isinstance(value, str):
             try:

src/murfey/workflows/clem/register_align_and_merge_results.py

@@ -7,7 +7,7 @@
 from pathlib import Path
 from typing import Optional
 
-from pydantic import BaseModel, validator
+from pydantic import BaseModel, field_validator
 from sqlmodel import Session
 
 from murfey.util.db import CLEMImageSeries
@@ -24,10 +24,8 @@ class AlignAndMergeResult(BaseModel):
     align_across: Optional[str] = None
     composite_image: Path
 
-    @validator(
-        "image_stacks",
-        pre=True,
-    )
+    @field_validator("image_stacks", mode="before")
+    @classmethod
     def parse_stringified_list(cls, value):
         if isinstance(value, str):
             try:

src/murfey/workflows/clem/register_preprocessing_results.py

@@ -13,7 +13,7 @@
 from ast import literal_eval
 from pathlib import Path
 
-from pydantic import BaseModel, validator
+from pydantic import BaseModel, field_validator
 from sqlmodel import Session, select
 
 from murfey.server import _transport_object
@@ -221,10 +221,8 @@ class TIFFPreprocessingResult(BaseModel):
     number_of_members: int
     parent_tiffs: list[Path]
 
-    @validator(
-        "parent_tiffs",
-        pre=True,
-    )
+    @field_validator("parent_tiffs", mode="before")
+    @classmethod
     def parse_stringified_list(cls, value):
         if isinstance(value, str):
             try: