feat: Introduce WorkflowExecution Domain Entity and Repository, Replace WorkflowRun Direct Usage, and Unify Stream Response Logic (#20067)
Signed-off-by: -LAN- <laipz8200@outlook.com>
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91
api/core/workflow/entities/workflow_execution_entities.py
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91
api/core/workflow/entities/workflow_execution_entities.py
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"""
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Domain entities for workflow execution.
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Models are independent of the storage mechanism and don't contain
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implementation details like tenant_id, app_id, etc.
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"""
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from collections.abc import Mapping
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from datetime import UTC, datetime
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from enum import StrEnum
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from typing import Any, Optional
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from pydantic import BaseModel, Field
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class WorkflowType(StrEnum):
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"""
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Workflow Type Enum for domain layer
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"""
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WORKFLOW = "workflow"
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CHAT = "chat"
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class WorkflowExecutionStatus(StrEnum):
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RUNNING = "running"
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SUCCEEDED = "succeeded"
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FAILED = "failed"
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STOPPED = "stopped"
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PARTIAL_SUCCEEDED = "partial-succeeded"
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class WorkflowExecution(BaseModel):
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"""
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Domain model for workflow execution based on WorkflowRun but without
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user, tenant, and app attributes.
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"""
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id: str = Field(...)
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workflow_id: str = Field(...)
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workflow_version: str = Field(...)
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sequence_number: int = Field(...)
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type: WorkflowType = Field(...)
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graph: Mapping[str, Any] = Field(...)
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inputs: Mapping[str, Any] = Field(...)
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outputs: Optional[Mapping[str, Any]] = None
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status: WorkflowExecutionStatus = WorkflowExecutionStatus.RUNNING
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error_message: str = Field(default="")
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total_tokens: int = Field(default=0)
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total_steps: int = Field(default=0)
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exceptions_count: int = Field(default=0)
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started_at: datetime = Field(...)
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finished_at: Optional[datetime] = None
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@property
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def elapsed_time(self) -> float:
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"""
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Calculate elapsed time in seconds.
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If workflow is not finished, use current time.
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"""
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end_time = self.finished_at or datetime.now(UTC).replace(tzinfo=None)
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return (end_time - self.started_at).total_seconds()
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@classmethod
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def new(
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cls,
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*,
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id: str,
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workflow_id: str,
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sequence_number: int,
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type: WorkflowType,
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workflow_version: str,
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graph: Mapping[str, Any],
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inputs: Mapping[str, Any],
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started_at: datetime,
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) -> "WorkflowExecution":
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return WorkflowExecution(
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id=id,
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workflow_id=workflow_id,
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sequence_number=sequence_number,
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type=type,
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workflow_version=workflow_version,
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graph=graph,
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inputs=inputs,
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status=WorkflowExecutionStatus.RUNNING,
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started_at=started_at,
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)
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