Implement a runs endpoint that can return workflow runs or tasks (#1708)
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@@ -1387,6 +1387,48 @@ class AgentDB:
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)
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return None
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async def get_all_runs(
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self, organization_id: str, page: int = 1, page_size: int = 10, status: list[WorkflowRunStatus] | None = None
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) -> list[WorkflowRun | Task]:
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try:
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async with self.Session() as session:
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# temporary limit to 10 pages
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if page > 10:
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return []
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limit = page * page_size
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workflow_run_query = select(WorkflowRunModel).filter(
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WorkflowRunModel.organization_id == organization_id
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)
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if status:
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workflow_run_query = workflow_run_query.filter(WorkflowRunModel.status.in_(status))
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workflow_run_query = workflow_run_query.order_by(WorkflowRunModel.created_at.desc()).limit(limit)
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workflow_run_query_result = (await session.scalars(workflow_run_query)).all()
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workflow_runs = [
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convert_to_workflow_run(run, debug_enabled=self.debug_enabled) for run in workflow_run_query_result
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]
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task_query = select(TaskModel).filter(TaskModel.organization_id == organization_id)
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if status:
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task_query = task_query.filter(TaskModel.status.in_(status))
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task_query = task_query.order_by(TaskModel.created_at.desc()).limit(limit)
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task_query_result = (await session.scalars(task_query)).all()
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tasks = [convert_to_task(task, debug_enabled=self.debug_enabled) for task in task_query_result]
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runs = workflow_runs + tasks
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runs.sort(key=lambda x: x.created_at, reverse=True)
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lower = (page - 1) * page_size
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upper = page * page_size
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return runs[lower:upper]
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except SQLAlchemyError:
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LOG.error("SQLAlchemyError", exc_info=True)
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raise
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async def get_workflow_run(self, workflow_run_id: str, organization_id: str | None = None) -> WorkflowRun | None:
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try:
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async with self.Session() as session:
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