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@ -55,7 +55,8 @@ class PipelineGenerator(BaseAppGenerator):
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streaming: Literal[True],
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call_depth: int,
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workflow_thread_pool_id: Optional[str],
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) -> Mapping[str, Any] | Generator[Mapping | str, None, None] | None: ...
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) -> Mapping[str, Any] | Generator[Mapping | str, None, None] | None:
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...
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@overload
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def generate(
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@ -69,7 +70,8 @@ class PipelineGenerator(BaseAppGenerator):
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streaming: Literal[False],
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call_depth: int,
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workflow_thread_pool_id: Optional[str],
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) -> Mapping[str, Any]: ...
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) -> Mapping[str, Any]:
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...
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@overload
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def generate(
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@ -83,7 +85,8 @@ class PipelineGenerator(BaseAppGenerator):
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streaming: bool,
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call_depth: int,
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workflow_thread_pool_id: Optional[str],
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) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None]]: ...
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) -> Union[Mapping[str, Any], Generator[Mapping | str, None, None]]:
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...
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def generate(
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self,
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@ -184,7 +187,7 @@ class PipelineGenerator(BaseAppGenerator):
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)
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if invoke_from == InvokeFrom.DEBUGGER:
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return self._generate(
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flask_app=current_app._get_current_object(),# type: ignore
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flask_app=current_app._get_current_object(), # type: ignore
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context=contextvars.copy_context(),
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pipeline=pipeline,
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workflow_id=workflow.id,
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@ -199,6 +202,7 @@ class PipelineGenerator(BaseAppGenerator):
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else:
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# run in child thread
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context = contextvars.copy_context()
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@copy_current_request_context
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def worker_with_context():
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# Run the worker within the copied context
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@ -222,24 +226,25 @@ class PipelineGenerator(BaseAppGenerator):
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worker_thread.start()
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# return batch, dataset, documents
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return {
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"batch": batch,
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"dataset": PipelineDataset(
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id=dataset.id,
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name=dataset.name,
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description=dataset.description,
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chunk_structure=dataset.chunk_structure,
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).model_dump(),
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"documents": [PipelineDocument(
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id=document.id,
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position=document.position,
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data_source_info=json.loads(document.data_source_info) if document.data_source_info else None,
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name=document.name,
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indexing_status=document.indexing_status,
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error=document.error,
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enabled=document.enabled,
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).model_dump() for document in documents
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]
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}
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"batch": batch,
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"dataset": PipelineDataset(
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id=dataset.id,
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name=dataset.name,
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description=dataset.description,
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chunk_structure=dataset.chunk_structure,
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).model_dump(),
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"documents": [PipelineDocument(
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id=document.id,
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position=document.position,
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data_source_info=json.loads(document.data_source_info) if document.data_source_info else None,
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name=document.name,
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indexing_status=document.indexing_status,
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error=document.error,
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enabled=document.enabled,
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).model_dump() for document in documents
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]
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}
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def _generate(
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self,
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*,
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@ -268,6 +273,7 @@ class PipelineGenerator(BaseAppGenerator):
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:param streaming: is stream
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:param workflow_thread_pool_id: workflow thread pool id
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"""
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print("jin ru la 1")
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for var, val in context.items():
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var.set(val)
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@ -279,6 +285,7 @@ class PipelineGenerator(BaseAppGenerator):
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saved_user = g._login_user
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with flask_app.app_context():
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# Restore user in new app context
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print("jin ru la 2")
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if saved_user is not None:
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from flask import g
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@ -306,6 +313,7 @@ class PipelineGenerator(BaseAppGenerator):
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application_generate_entity=application_generate_entity,
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workflow_thread_pool_id=workflow_thread_pool_id,
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)
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# new thread
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worker_thread = threading.Thread(
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target=worker_with_context
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@ -396,7 +404,7 @@ class PipelineGenerator(BaseAppGenerator):
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)
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return self._generate(
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flask_app=current_app._get_current_object(),# type: ignore
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flask_app=current_app._get_current_object(), # type: ignore
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pipeline=pipeline,
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workflow=workflow,
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user=user,
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@ -479,7 +487,7 @@ class PipelineGenerator(BaseAppGenerator):
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)
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return self._generate(
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flask_app=current_app._get_current_object(),# type: ignore
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flask_app=current_app._get_current_object(), # type: ignore
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pipeline=pipeline,
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workflow=workflow,
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user=user,
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@ -506,6 +514,7 @@ class PipelineGenerator(BaseAppGenerator):
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:param workflow_thread_pool_id: workflow thread pool id
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:return:
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"""
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print("jin ru la 3")
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for var, val in context.items():
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var.set(val)
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from flask import g
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