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Chore: correct inconsistent logging and typo (#25945)

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This commit is contained in:
Yongtao Huang
2025-09-19 10:36:16 +08:00
committed by GitHub
parent b2d8a7eaf1
commit b3dafd913b
4 changed files with 12 additions and 14 deletions
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14
api/services/rag_pipeline/rag_pipeline.py
View File

@@ -1327,14 +1327,14 @@ class RagPipelineService:
"""
Retry error document
"""
document_pipeline_excution_log = (
document_pipeline_execution_log = (
db.session.query(DocumentPipelineExecutionLog)
.where(DocumentPipelineExecutionLog.document_id == document.id)
.first()
)
if not document_pipeline_excution_log:
if not document_pipeline_execution_log:
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:
raise ValueError("Pipeline not found")
# convert to app config
@@ -1346,10 +1346,10 @@ class RagPipelineService:
workflow=workflow,
user=user,
args={
"inputs": document_pipeline_excution_log.input_data,
"start_node_id": document_pipeline_excution_log.datasource_node_id,
"datasource_type": document_pipeline_excution_log.datasource_type,
"datasource_info_list": [json.loads(document_pipeline_excution_log.datasource_info)],
"inputs": document_pipeline_execution_log.input_data,
"start_node_id": document_pipeline_execution_log.datasource_node_id,
"datasource_type": document_pipeline_execution_log.datasource_type,
"datasource_info_list": [json.loads(document_pipeline_execution_log.datasource_info)],
"original_document_id": document.id,
},
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
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
if not doc_form:
return self._transfrom_to_empty_pipeline(dataset)
return self._transform_to_empty_pipeline(dataset)
retrieval_model = dataset.retrieval_model
pipeline_yaml = self._get_transform_yaml(doc_form, datasource_type, indexing_technique)
# deal dependencies
@@ -263,7 +263,7 @@ class RagPipelineTransformService:
logger.debug("Installing missing pipeline plugins %s", 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(
tenant_id=dataset.tenant_id,
name=dataset.name,