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

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-LAN- 2025-09-15 13:06:33 +08:00 • committed by GitHub
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394 changed files with 2555 additions and 2792 deletions
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16
api/tests/integration_tests/model_runtime/__mock/plugin_model.py
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@ -5,8 +5,6 @@ from decimal import Decimal
from json import dumps
# import monkeypatch
from typing import Optional
from core.model_runtime.entities.common_entities import I18nObject
from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage
from core.model_runtime.entities.message_entities import AssistantPromptMessage, PromptMessage, PromptMessageTool
@ -113,8 +111,8 @@ class MockModelClass(PluginModelClient):
@staticmethod
def generate_function_call(
tools: Optional[list[PromptMessageTool]],
) -> Optional[AssistantPromptMessage.ToolCall]:
tools: list[PromptMessageTool] | None,
) -> AssistantPromptMessage.ToolCall | None:
if not tools or len(tools) == 0:
return None
function: PromptMessageTool = tools[0]
@ -157,7 +155,7 @@ class MockModelClass(PluginModelClient):
def mocked_chat_create_sync(
model: str,
prompt_messages: list[PromptMessage],
tools: Optional[list[PromptMessageTool]] = None,
tools: list[PromptMessageTool] | None = None,
) -> LLMResult:
tool_call = MockModelClass.generate_function_call(tools=tools)
@ -186,7 +184,7 @@ class MockModelClass(PluginModelClient):
def mocked_chat_create_stream(
model: str,
prompt_messages: list[PromptMessage],
tools: Optional[list[PromptMessageTool]] = None,
tools: list[PromptMessageTool] | None = None,
) -> Generator[LLMResultChunk, None, None]:
tool_call = MockModelClass.generate_function_call(tools=tools)
@ -241,9 +239,9 @@ class MockModelClass(PluginModelClient):
model: str,
credentials: dict,
prompt_messages: list[PromptMessage],
model_parameters: Optional[dict] = None,
tools: Optional[list[PromptMessageTool]] = None,
stop: Optional[list[str]] = None,
model_parameters: dict | None = None,
tools: list[PromptMessageTool] | None = None,
stop: list[str] | None = None,
stream: bool = True,
):
return MockModelClass.mocked_chat_create_stream(model=model, prompt_messages=prompt_messages, tools=tools)