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fix score_threshold_enabled name (#1626)

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Co-authored-by: jyong <jyong@dify.ai>
This commit is contained in:
Jyong
2023-11-27 15:34:45 +08:00
committed by GitHub
parent 603e55f252
commit 74b2260ba6
8 changed files with 19 additions and 19 deletions
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8
api/core/orchestrator_rule_parser.py
View File

@@ -40,7 +40,7 @@ default_retrieval_model = {
'reranking_model_name': ''
},
'top_k': 2,
'score_threshold_enable': False
'score_threshold_enabled': False
}
class OrchestratorRuleParser:
@@ -220,8 +220,8 @@ class OrchestratorRuleParser:
# top_k = self._dynamic_calc_retrieve_k(dataset=dataset, top_k=top_k, rest_tokens=rest_tokens)
score_threshold = None
score_threshold_enable = retrieval_model_config.get("score_threshold_enable")
if score_threshold_enable:
score_threshold_enabled = retrieval_model_config.get("score_threshold_enabled")
if score_threshold_enabled:
score_threshold = retrieval_model_config.get("score_threshold")
tool = DatasetRetrieverTool.from_dataset(
@@ -239,7 +239,7 @@ class OrchestratorRuleParser:
dataset_ids=dataset_ids,
tenant_id=kwargs['tenant_id'],
top_k=dataset_configs.get('top_k', 2),
score_threshold=dataset_configs.get('score_threshold', 0.5) if dataset_configs.get('score_threshold_enable', False) else None,
score_threshold=dataset_configs.get('score_threshold', 0.5) if dataset_configs.get('score_threshold_enabled', False) else None,
callbacks=[DatasetToolCallbackHandler(conversation_message_task)],
conversation_message_task=conversation_message_task,
return_resource=return_resource,

4
api/core/tool/dataset_multi_retriever_tool.py
View File

@@ -24,7 +24,7 @@ default_retrieval_model = {
'reranking_model_name': ''
},
'top_k': 2,
'score_threshold_enable': False
'score_threshold_enabled': False
}
@@ -216,7 +216,7 @@ class DatasetMultiRetrieverTool(BaseTool):
'embeddings': embeddings,
'score_threshold': retrieval_model[
'score_threshold'] if retrieval_model[
'score_threshold_enable'] else None,
'score_threshold_enabled'] else None,
'top_k': self.top_k,
'reranking_model': retrieval_model[
'reranking_model'] if retrieval_model[

8
api/core/tool/dataset_retriever_tool.py
View File

@@ -25,7 +25,7 @@ default_retrieval_model = {
'reranking_model_name': ''
},
'top_k': 2,
'score_threshold_enable': False
'score_threshold_enabled': False
}
@@ -110,7 +110,7 @@ class DatasetRetrieverTool(BaseTool):
'query': query,
'top_k': self.top_k,
'score_threshold': retrieval_model['score_threshold'] if retrieval_model[
'score_threshold_enable'] else None,
'score_threshold_enabled'] else None,
'reranking_model': retrieval_model['reranking_model'] if retrieval_model[
'reranking_enable'] else None,
'all_documents': documents,
@@ -129,7 +129,7 @@ class DatasetRetrieverTool(BaseTool):
'search_method': retrieval_model['search_method'],
'embeddings': embeddings,
'score_threshold': retrieval_model['score_threshold'] if retrieval_model[
'score_threshold_enable'] else None,
'score_threshold_enabled'] else None,
'top_k': self.top_k,
'reranking_model': retrieval_model['reranking_model'] if retrieval_model[
'reranking_enable'] else None,
@@ -148,7 +148,7 @@ class DatasetRetrieverTool(BaseTool):
model_name=retrieval_model['reranking_model']['reranking_model_name']
)
documents = hybrid_rerank.rerank(query, documents,
retrieval_model['score_threshold'] if retrieval_model['score_threshold_enable'] else None,
retrieval_model['score_threshold'] if retrieval_model['score_threshold_enabled'] else None,
self.top_k)
else:
documents = []