Remove not needed methods

server/planning/tests/__init__.py

@@ -17,15 +17,3 @@ def setup_test_user(self):
         user = {"_id": ObjectId()}
         self.app.data.insert("users", [user])
         g.user = user
-
-    async def setUp(self):
-        """
-        Set up the test case by entering the application's asynchronous context.
-        This ensures all tests run within the same app context, avoiding repetitive
-        boilerplate and allowing automatic resource cleanup, even if a test fails.
-
-        Using `enterAsyncContext` ensures the app context (`self.app.app_context()`)
-        is properly exited after each test.
-        """
-
-        self.ctx = await self.enterAsyncContext(self.app.app_context())

server/planning/types/event.py

@@ -1,5 +1,3 @@
-from copy import deepcopy
-from typing_extensions import Self
 from pydantic import Field
 from datetime import datetime
 from typing import Annotated, Any
@@ -9,7 +7,6 @@
 from superdesk.utc import utcnow
 from superdesk.core.resources import fields, dataclass, Dataclass
 from superdesk.core.resources.validators import validate_data_relation_async
-from superdesk.utils import merge_dicts_deep
 
 from .base import BasePlanningModel
 from .event_dates import EventDates, OccurStatus
@@ -275,21 +272,3 @@ class EventResourceModel(BasePlanningModel, LockFieldsMixin):
 
     related_items: list[RelatedItem] = Field(default_factory=list)
     failed_planned_ids: list[str] = Field(default_factory=list)
-
-    def clone_with(self, updates: dict[str, Any]) -> Self:
-        """
-        Deeply clones the instance and applies updates with proper validation.
-
-        Addresses limitations of Pydantic's `model_copy`, which doesn't handle
-        nested data classes or validate updates the given updates.
-
-        Args:
-            updates (dict[str, Any]): Attributes to update in the cloned instance.
-
-        Returns:
-            Self: A new instance with the applied updates.
-        """
-
-        cloned_data = deepcopy(self.to_dict())
-        cloned_data = dict(merge_dicts_deep(cloned_data, updates))
-        return self.from_dict(cloned_data)