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75 lines
2.1 KiB
Python
75 lines
2.1 KiB
Python
"""
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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 __future__ import annotations
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from collections.abc import Mapping
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from datetime import datetime
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from typing import Any
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from pydantic import BaseModel, Field
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from dify_graph.enums import WorkflowExecutionStatus, WorkflowType
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from libs.datetime_utils import naive_utc_now
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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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workflow_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: Mapping[str, Any] | None = 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: datetime | None = 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 naive_utc_now()
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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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workflow_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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workflow_type=workflow_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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