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非法操作andautofix-ci[bot]
ce26b22970
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
55 lines
2.4 KiB
Python
55 lines
2.4 KiB
Python
"""Hydrate the legacy generator's ORM inputs in a bounded repository read.
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The shared generator still requires App/Workflow/actor models. Remove this
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compatibility boundary when its invocation contract accepts detached values.
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"""
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from datetime import datetime
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from typing import Protocol
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from sqlalchemy.orm import Session, sessionmaker
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from core.app.apps.workflow.app_generator import WorkflowAppGenerator
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from core.app.entities.app_invoke_entities import InvokeFrom
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from core.app.layers.pause_state_persist_layer import PauseStateLayerConfig
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from models.account import Account
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from models.model import App, EndUser
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from models.workflow import Workflow
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from services.trigger.execution_layer import TriggerPostLayer
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from services.trigger.execution_store import TriggerExecution, TriggerExecutionStore
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from services.workflow_execution_identity import build_workflow_execution_identity
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from services.workflow_run_agg import WorkflowRunAgg
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class TriggerExecutionModels(Protocol):
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def get_execution_models(self, execution: TriggerExecution) -> tuple[App, Workflow, Account | EndUser]: ...
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class WorkflowTriggerExecutionGateway:
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def __init__(
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self, *, models: TriggerExecutionModels, logs: TriggerExecutionStore, session_factory: sessionmaker[Session]
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) -> None:
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self._models = models
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self._logs = logs
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self._session_factory = session_factory
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def run(self, execution: TriggerExecution, started_at: datetime) -> None:
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app_model, workflow, actor = self._models.get_execution_models(execution)
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generator = WorkflowAppGenerator(execution_driver=WorkflowRunAgg.run)
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generator.generate(
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app_model=app_model,
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workflow=workflow,
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user=actor,
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execution_identity=build_workflow_execution_identity(actor),
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args={"inputs": dict(execution.data.inputs), "files": list(execution.data.files)},
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invoke_from=InvokeFrom.SERVICE_API,
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streaming=False,
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call_depth=0,
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triggered_from=execution.data.trigger_from,
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root_node_id=execution.data.root_node_id,
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graph_engine_layers=[TriggerPostLayer(logs=self._logs, log=execution.log, start_time=started_at)],
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pause_state_config=PauseStateLayerConfig(
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session_factory=self._session_factory, state_owner_user_id=workflow.created_by
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),
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)
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