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r2
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@ -53,6 +53,7 @@ from services.entities.knowledge_entities.knowledge_entities import (
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)
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from services.entities.knowledge_entities.rag_pipeline_entities import (
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KnowledgeBaseUpdateConfiguration,
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KnowledgeConfiguration,
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RagPipelineDatasetCreateEntity,
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)
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from services.errors.account import InvalidActionError, NoPermissionError
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@ -495,11 +496,11 @@ class DatasetService:
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@staticmethod
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def update_rag_pipeline_dataset_settings(session: Session,
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dataset: Dataset,
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knowledge_base_setting: KnowledgeBaseUpdateConfiguration,
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knowledge_configuration: KnowledgeConfiguration,
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has_published: bool = False):
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if not has_published:
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dataset.chunk_structure = knowledge_base_setting.chunk_structure
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index_method = knowledge_base_setting.index_method
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dataset.chunk_structure = knowledge_configuration.chunk_structure
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index_method = knowledge_configuration.index_method
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dataset.indexing_technique = index_method.indexing_technique
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if index_method == "high_quality":
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model_manager = ModelManager()
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@ -519,26 +520,26 @@ class DatasetService:
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dataset.keyword_number = index_method.economy_setting.keyword_number
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else:
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raise ValueError("Invalid index method")
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dataset.retrieval_model = knowledge_base_setting.retrieval_setting.model_dump()
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dataset.retrieval_model = knowledge_configuration.retrieval_setting.model_dump()
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session.add(dataset)
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else:
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if dataset.chunk_structure and dataset.chunk_structure != knowledge_base_setting.chunk_structure:
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if dataset.chunk_structure and dataset.chunk_structure != knowledge_configuration.chunk_structure:
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raise ValueError("Chunk structure is not allowed to be updated.")
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action = None
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if dataset.indexing_technique != knowledge_base_setting.index_method.indexing_technique:
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if dataset.indexing_technique != knowledge_configuration.index_method.indexing_technique:
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# if update indexing_technique
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if knowledge_base_setting.index_method.indexing_technique == "economy":
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if knowledge_configuration.index_method.indexing_technique == "economy":
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raise ValueError("Knowledge base indexing technique is not allowed to be updated to economy.")
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elif knowledge_base_setting.index_method.indexing_technique == "high_quality":
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elif knowledge_configuration.index_method.indexing_technique == "high_quality":
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action = "add"
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# get embedding model setting
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try:
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model_manager = ModelManager()
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embedding_model = model_manager.get_model_instance(
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tenant_id=current_user.current_tenant_id,
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provider=knowledge_base_setting.index_method.embedding_setting.embedding_provider_name,
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provider=knowledge_configuration.index_method.embedding_setting.embedding_provider_name,
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model_type=ModelType.TEXT_EMBEDDING,
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model=knowledge_base_setting.index_method.embedding_setting.embedding_model_name,
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model=knowledge_configuration.index_method.embedding_setting.embedding_model_name,
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)
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dataset.embedding_model = embedding_model.model
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dataset.embedding_model_provider = embedding_model.provider
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@ -607,9 +608,9 @@ class DatasetService:
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except ProviderTokenNotInitError as ex:
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raise ValueError(ex.description)
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elif dataset.indexing_technique == "economy":
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if dataset.keyword_number != knowledge_base_setting.index_method.economy_setting.keyword_number:
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dataset.keyword_number = knowledge_base_setting.index_method.economy_setting.keyword_number
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dataset.retrieval_model = knowledge_base_setting.retrieval_setting.model_dump()
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if dataset.keyword_number != knowledge_configuration.index_method.economy_setting.keyword_number:
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dataset.keyword_number = knowledge_configuration.index_method.economy_setting.keyword_number
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dataset.retrieval_model = knowledge_configuration.retrieval_setting.model_dump()
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session.add(dataset)
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session.commit()
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if action:
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@ -47,7 +47,7 @@ from models.workflow import (
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WorkflowType,
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)
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from services.dataset_service import DatasetService
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from services.entities.knowledge_entities.rag_pipeline_entities import KnowledgeBaseUpdateConfiguration, PipelineTemplateInfoEntity
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from services.entities.knowledge_entities.rag_pipeline_entities import KnowledgeBaseUpdateConfiguration, KnowledgeConfiguration, PipelineTemplateInfoEntity
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from services.errors.app import WorkflowHashNotEqualError
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from services.rag_pipeline.pipeline_template.pipeline_template_factory import PipelineTemplateRetrievalFactory
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@ -262,7 +262,6 @@ class RagPipelineService:
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session: Session,
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pipeline: Pipeline,
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account: Account,
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knowledge_base_setting: KnowledgeBaseUpdateConfiguration,
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) -> Workflow:
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draft_workflow_stmt = select(Workflow).where(
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Workflow.tenant_id == pipeline.tenant_id,
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@ -291,16 +290,23 @@ class RagPipelineService:
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# commit db session changes
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session.add(workflow)
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# update dataset
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dataset = pipeline.dataset
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if not dataset:
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raise ValueError("Dataset not found")
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DatasetService.update_rag_pipeline_dataset_settings(
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session=session,
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dataset=dataset,
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knowledge_base_setting=knowledge_base_setting,
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has_published=pipeline.is_published
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)
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graph = workflow.graph_dict
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nodes = graph.get("nodes", [])
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for node in nodes:
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if node.get("data", {}).get("type") == "knowledge_index":
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knowledge_configuration = node.get("data", {}).get("knowledge_configuration", {})
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knowledge_configuration = KnowledgeConfiguration(**knowledge_configuration)
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# update dataset
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dataset = pipeline.dataset
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if not dataset:
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raise ValueError("Dataset not found")
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DatasetService.update_rag_pipeline_dataset_settings(
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session=session,
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dataset=dataset,
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knowledge_configuration=knowledge_configuration,
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has_published=pipeline.is_published
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)
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# return new workflow
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return workflow
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