chore: add ast-grep rule to convert Optional[T] to T | None (#25560)

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
This commit is contained in:
-LAN-
2025-09-15 13:06:33 +08:00
committed by GitHub
parent 2e44ebe98d
commit bab4975809
394 changed files with 2555 additions and 2792 deletions

View File

@@ -1,7 +1,6 @@
import base64
import uuid
from collections.abc import Sequence
from typing import Optional
from unittest import mock
import pytest
@@ -47,7 +46,7 @@ class MockTokenBufferMemory:
self.history_messages = history_messages or []
def get_history_prompt_messages(
self, max_token_limit: int = 2000, message_limit: Optional[int] = None
self, max_token_limit: int = 2000, message_limit: int | None = None
) -> Sequence[PromptMessage]:
if message_limit is not None:
return self.history_messages[-message_limit * 2 :]

View File

@@ -1,6 +1,5 @@
import contextvars
import threading
from typing import Optional
import pytest
from flask import Flask
@@ -29,7 +28,7 @@ def login_app(app: Flask) -> Flask:
login_manager.init_app(app)
@login_manager.user_loader
def load_user(user_id: str) -> Optional[User]:
def load_user(user_id: str) -> User | None:
if user_id == "test_user":
return User("test_user")
return None

View File

@@ -1,5 +1,4 @@
import datetime
from typing import Optional
# Mock redis_client before importing dataset_service
from unittest.mock import Mock, call, patch
@@ -37,7 +36,7 @@ class DocumentBatchUpdateTestDataFactory:
enabled: bool = True,
archived: bool = False,
indexing_status: str = "completed",
completed_at: Optional[datetime.datetime] = None,
completed_at: datetime.datetime | None = None,
**kwargs,
) -> Mock:
"""Create a mock document with specified attributes."""

View File

@@ -1,5 +1,5 @@
import datetime
from typing import Any, Optional
from typing import Any
# Mock redis_client before importing dataset_service
from unittest.mock import Mock, create_autospec, patch
@@ -24,9 +24,9 @@ class DatasetUpdateTestDataFactory:
description: str = "old_description",
indexing_technique: str = "high_quality",
retrieval_model: str = "old_model",
embedding_model_provider: Optional[str] = None,
embedding_model: Optional[str] = None,
collection_binding_id: Optional[str] = None,
embedding_model_provider: str | None = None,
embedding_model: str | None = None,
collection_binding_id: str | None = None,
**kwargs,
) -> Mock:
"""Create a mock dataset with specified attributes."""