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

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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
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-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
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18
api/core/workflow/entities/node_entities.py
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@@ -1,5 +1,5 @@
from collections.abc import Mapping
from typing import Any, Optional
from typing import Any
from pydantic import BaseModel
@@ -14,16 +14,16 @@ class NodeRunResult(BaseModel):
status: WorkflowNodeExecutionStatus = WorkflowNodeExecutionStatus.RUNNING
inputs: Optional[Mapping[str, Any]] = None # node inputs
process_data: Optional[Mapping[str, Any]] = None # process data
outputs: Optional[Mapping[str, Any]] = None # node outputs
metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None # node metadata
llm_usage: Optional[LLMUsage] = None # llm usage
inputs: Mapping[str, Any] | None = None # node inputs
process_data: Mapping[str, Any] | None = None # process data
outputs: Mapping[str, Any] | None = None # node outputs
metadata: Mapping[WorkflowNodeExecutionMetadataKey, Any] | None = None # node metadata
llm_usage: LLMUsage | None = None # llm usage
edge_source_handle: Optional[str] = None # source handle id of node with multiple branches
edge_source_handle: str | None = None # source handle id of node with multiple branches
error: Optional[str] = None # error message if status is failed
error_type: Optional[str] = None # error type if status is failed
error: str | None = None # error message if status is failed
error_type: str | None = None # error type if status is failed
# single step node run retry
retry_index: int = 0

6
api/core/workflow/entities/workflow_execution.py
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@@ -8,7 +8,7 @@ implementation details like tenant_id, app_id, etc.
from collections.abc import Mapping
from datetime import datetime
from enum import StrEnum
from typing import Any, Optional
from typing import Any
from pydantic import BaseModel, Field
@@ -45,7 +45,7 @@ class WorkflowExecution(BaseModel):
graph: Mapping[str, Any] = Field(...)
inputs: Mapping[str, Any] = Field(...)
outputs: Optional[Mapping[str, Any]] = None
outputs: Mapping[str, Any] | None = None
status: WorkflowExecutionStatus = WorkflowExecutionStatus.RUNNING
error_message: str = Field(default="")
@@ -54,7 +54,7 @@ class WorkflowExecution(BaseModel):
exceptions_count: int = Field(default=0)
started_at: datetime = Field(...)
finished_at: Optional[datetime] = None
finished_at: datetime | None = None
@property
def elapsed_time(self) -> float:

28
api/core/workflow/entities/workflow_node_execution.py
View File

@@ -9,7 +9,7 @@ and don't contain implementation details like tenant_id, app_id, etc.
from collections.abc import Mapping
from datetime import datetime
from enum import StrEnum
from typing import Any, Optional
from typing import Any
from pydantic import BaseModel, Field
@@ -77,41 +77,41 @@ class WorkflowNodeExecution(BaseModel):
# NOTE: For referencing the persisted record, use `id` rather than `node_execution_id`.
# While `node_execution_id` may sometimes be a UUID string, this is not guaranteed.
# In most scenarios, `id` should be used as the primary identifier.
node_execution_id: Optional[str] = None
node_execution_id: str | None = None
workflow_id: str # ID of the workflow this node belongs to
workflow_execution_id: Optional[str] = None # ID of the specific workflow run (null for single-step debugging)
workflow_execution_id: str | None = None # ID of the specific workflow run (null for single-step debugging)
# --------- Core identification fields ends ---------
# Execution positioning and flow
index: int # Sequence number for ordering in trace visualization
predecessor_node_id: Optional[str] = None # ID of the node that executed before this one
predecessor_node_id: str | None = None # ID of the node that executed before this one
node_id: str # ID of the node being executed
node_type: NodeType # Type of node (e.g., start, llm, knowledge)
title: str # Display title of the node
# Execution data
inputs: Optional[Mapping[str, Any]] = None # Input variables used by this node
process_data: Optional[Mapping[str, Any]] = None # Intermediate processing data
outputs: Optional[Mapping[str, Any]] = None # Output variables produced by this node
inputs: Mapping[str, Any] | None = None # Input variables used by this node
process_data: Mapping[str, Any] | None = None # Intermediate processing data
outputs: Mapping[str, Any] | None = None # Output variables produced by this node
# Execution state
status: WorkflowNodeExecutionStatus = WorkflowNodeExecutionStatus.RUNNING # Current execution status
error: Optional[str] = None # Error message if execution failed
error: str | None = None # Error message if execution failed
elapsed_time: float = Field(default=0.0) # Time taken for execution in seconds
# Additional metadata
metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None # Execution metadata (tokens, cost, etc.)
metadata: Mapping[WorkflowNodeExecutionMetadataKey, Any] | None = None # Execution metadata (tokens, cost, etc.)
# Timing information
created_at: datetime # When execution started
finished_at: Optional[datetime] = None # When execution completed
finished_at: datetime | None = None # When execution completed
def update_from_mapping(
self,
inputs: Optional[Mapping[str, Any]] = None,
process_data: Optional[Mapping[str, Any]] = None,
outputs: Optional[Mapping[str, Any]] = None,
metadata: Optional[Mapping[WorkflowNodeExecutionMetadataKey, Any]] = None,
inputs: Mapping[str, Any] | None = None,
process_data: Mapping[str, Any] | None = None,
outputs: Mapping[str, Any] | None = None,
metadata: Mapping[WorkflowNodeExecutionMetadataKey, Any] | None = None,
):
"""
Update the model from mappings.