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Chore: correct inconsistent logging and typo (#25945)

This commit is contained in:
Yongtao Huang 2025-09-19 10:36:16 +08:00 committed by GitHub
parent b2d8a7eaf1
commit b3dafd913b
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4 changed files with 12 additions and 14 deletions
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4
api/core/repositories/sqlalchemy_workflow_node_execution_repository.py
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@ -417,12 +417,10 @@ class SQLAlchemyWorkflowNodeExecutionRepository(WorkflowNodeExecutionRepository)
if db_model is not None: if db_model is not None:
offload_data = db_model.offload_data offload_data = db_model.offload_data
else: else:
db_model = self._to_db_model(domain_model) db_model = self._to_db_model(domain_model)
offload_data = [] offload_data = db_model.offload_data
offload_data = db_model.offload_data
if domain_model.inputs is not None: if domain_model.inputs is not None:
result = self._truncate_and_upload( result = self._truncate_and_upload(
domain_model.inputs, domain_model.inputs,

2
api/core/workflow/graph_engine/layers/execution_limits.py
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@ -147,4 +147,4 @@ class ExecutionLimitsLayer(GraphEngineLayer):
self.logger.debug("Abort command sent to engine") self.logger.debug("Abort command sent to engine")
except Exception: except Exception:
self.logger.exception("Failed to send abort command: %s") self.logger.exception("Failed to send abort command")

14
api/services/rag_pipeline/rag_pipeline.py
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@ -1327,14 +1327,14 @@ class RagPipelineService:
""" """
Retry error document Retry error document
""" """
document_pipeline_excution_log = ( document_pipeline_execution_log = (
db.session.query(DocumentPipelineExecutionLog) db.session.query(DocumentPipelineExecutionLog)
.where(DocumentPipelineExecutionLog.document_id == document.id) .where(DocumentPipelineExecutionLog.document_id == document.id)
.first() .first()
) )
if not document_pipeline_excution_log: if not document_pipeline_execution_log:
raise ValueError("Document pipeline execution log not found") raise ValueError("Document pipeline execution log not found")
pipeline = db.session.query(Pipeline).where(Pipeline.id == document_pipeline_excution_log.pipeline_id).first() pipeline = db.session.query(Pipeline).where(Pipeline.id == document_pipeline_execution_log.pipeline_id).first()
if not pipeline: if not pipeline:
raise ValueError("Pipeline not found") raise ValueError("Pipeline not found")
# convert to app config # convert to app config
@ -1346,10 +1346,10 @@ class RagPipelineService:
workflow=workflow, workflow=workflow,
user=user, user=user,
args={ args={
"inputs": document_pipeline_excution_log.input_data, "inputs": document_pipeline_execution_log.input_data,
"start_node_id": document_pipeline_excution_log.datasource_node_id, "start_node_id": document_pipeline_execution_log.datasource_node_id,
"datasource_type": document_pipeline_excution_log.datasource_type, "datasource_type": document_pipeline_execution_log.datasource_type,
"datasource_info_list": [json.loads(document_pipeline_excution_log.datasource_info)], "datasource_info_list": [json.loads(document_pipeline_execution_log.datasource_info)],
"original_document_id": document.id, "original_document_id": document.id,
}, },
invoke_from=InvokeFrom.PUBLISHED, invoke_from=InvokeFrom.PUBLISHED,

6
api/services/rag_pipeline/rag_pipeline_transform_service.py
View File

@ -38,11 +38,11 @@ class RagPipelineTransformService:
indexing_technique = dataset.indexing_technique indexing_technique = dataset.indexing_technique
if not datasource_type and not indexing_technique: if not datasource_type and not indexing_technique:
return self._transfrom_to_empty_pipeline(dataset) return self._transform_to_empty_pipeline(dataset)
doc_form = dataset.doc_form doc_form = dataset.doc_form
if not doc_form: if not doc_form:
return self._transfrom_to_empty_pipeline(dataset) return self._transform_to_empty_pipeline(dataset)
retrieval_model = dataset.retrieval_model retrieval_model = dataset.retrieval_model
pipeline_yaml = self._get_transform_yaml(doc_form, datasource_type, indexing_technique) pipeline_yaml = self._get_transform_yaml(doc_form, datasource_type, indexing_technique)
# deal dependencies # deal dependencies
@ -263,7 +263,7 @@ class RagPipelineTransformService:
logger.debug("Installing missing pipeline plugins %s", need_install_plugin_unique_identifiers) logger.debug("Installing missing pipeline plugins %s", need_install_plugin_unique_identifiers)
PluginService.install_from_marketplace_pkg(tenant_id, need_install_plugin_unique_identifiers) PluginService.install_from_marketplace_pkg(tenant_id, need_install_plugin_unique_identifiers)
def _transfrom_to_empty_pipeline(self, dataset: Dataset): def _transform_to_empty_pipeline(self, dataset: Dataset):
pipeline = Pipeline( pipeline = Pipeline(
tenant_id=dataset.tenant_id, tenant_id=dataset.tenant_id,
name=dataset.name, name=dataset.name,