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Fix API retrieval error. (#4408)

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### What problem does this PR solve?

#4403

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
This commit is contained in:
Kevin Hu 2025-01-08 11:27:46 +08:00 committed by GitHub
parent b7ce4e7e62
commit 3d66d78304
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1 changed files with 4 additions and 8 deletions
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12
api/apps/sdk/doc.py
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@ -20,7 +20,7 @@ from api.db.services.dialog_service import keyword_extraction
from rag.app.qa import rmPrefix, beAdoc
from rag.nlp import rag_tokenizer
from api.db import LLMType, ParserType
from api.db.services.llm_service import TenantLLMService
from api.db.services.llm_service import TenantLLMService, LLMBundle
from api import settings
import xxhash
import re
@ -1331,18 +1331,14 @@ def retrieval_test(tenant_id):
e, kb = KnowledgebaseService.get_by_id(kb_ids[0])
if not e:
return get_error_data_result(message="Dataset not found!")
embd_mdl = TenantLLMService.model_instance(
kb.tenant_id, LLMType.EMBEDDING.value, llm_name=kb.embd_id
)
embd_mdl = LLMBundle(kb.tenant_id, LLMType.EMBEDDING, llm_name=kb.embd_id)
rerank_mdl = None
if req.get("rerank_id"):
rerank_mdl = TenantLLMService.model_instance(
kb.tenant_id, LLMType.RERANK.value, llm_name=req["rerank_id"]
)
rerank_mdl = LLMBundle(kb.tenant_id, LLMType.RERANK, llm_name=req["rerank_id"])
if req.get("keyword", False):
chat_mdl = TenantLLMService.model_instance(kb.tenant_id, LLMType.CHAT)
chat_mdl = LLMBundle(kb.tenant_id, LLMType.CHAT)
question += keyword_extraction(chat_mdl, question)
retr = settings.retrievaler if kb.parser_id != ParserType.KG else settings.kg_retrievaler