hz/ebiz-dify-ai
1
0
Fork 0
mirror of http://112.124.100.131/huang.ze/ebiz-dify-ai.git synced 2025-12-15 22:06:52 +08:00
Code Issues Packages Projects Releases Wiki Activity

chore(lint): cleanup repeated cause exception in logging.exception replaced by helpful message (#10425)

Browse Source
This commit is contained in:
Bowen Liang
2024-11-15 15:41:40 +08:00
committed by GitHub
parent db1d2aaff5
commit 51db59622c
47 changed files with 83 additions and 72 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
api/core/model_runtime/model_providers/azure_ai_studio/rerank/rerank.py
View File

@@ -103,7 +103,7 @@ class AzureRerankModel(RerankModel):
return RerankResult(model=model, docs=rerank_documents)
except Exception as e:
logger.exception(f"Exception in Azure rerank: {e}")
logger.exception(f"Failed to invoke rerank model, model: {model}")
raise
def validate_credentials(self, model: str, credentials: dict) -> None:

2
api/core/model_runtime/model_providers/sagemaker/rerank/rerank.py
View File

@@ -113,7 +113,7 @@ class SageMakerRerankModel(RerankModel):
return RerankResult(model=model, docs=rerank_documents)
except Exception as e:
logger.exception(f"Exception {e}, line : {line}")
logger.exception(f"Failed to invoke rerank model, model: {model}")
def validate_credentials(self, model: str, credentials: dict) -> None:
"""

2
api/core/model_runtime/model_providers/sagemaker/speech2text/speech2text.py
View File

@@ -78,7 +78,7 @@ class SageMakerSpeech2TextModel(Speech2TextModel):
json_obj = json.loads(json_str)
asr_text = json_obj["text"]
except Exception as e:
logger.exception(f"failed to invoke speech2text model, {e}")
logger.exception(f"failed to invoke speech2text model, model: {model}")
raise CredentialsValidateFailedError(str(e))
return asr_text

2
api/core/model_runtime/model_providers/sagemaker/text_embedding/text_embedding.py
View File

@@ -117,7 +117,7 @@ class SageMakerEmbeddingModel(TextEmbeddingModel):
return TextEmbeddingResult(embeddings=all_embeddings, usage=usage, model=model)
except Exception as e:
logger.exception(f"Exception {e}, line : {line}")
logger.exception(f"Failed to invoke text embedding model, model: {model}, line: {line}")
def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
"""