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fix: chat question for mcp
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@@ -66,9 +66,10 @@ class LLMService:
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if not aimodel and aimodel[0]:
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raise Exception("No available AI model configuration found")
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history_records: List[ChatRecord] = list(filter(lambda r: True if r.first_chat != True else False,
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list_records(session=self.session, current_user=current_user,
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chart_id=chat_question.chat_id)))
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history_records: List[ChatRecord] = list(
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map(lambda x: ChatRecord(**x.model_dump()), filter(lambda r: True if r.first_chat != True else False,
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list_records(session=self.session, current_user=current_user,
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chart_id=chat_question.chat_id))))
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# get schema
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if ds:
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chat_question.db_schema = get_table_schema(session=self.session, ds=ds)
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@@ -291,7 +292,6 @@ class LLMService:
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full_text = ''
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res = self.llm.stream(datasource_msg)
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for chunk in res:
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print(chunk)
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if isinstance(chunk, dict):
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full_text += chunk['content']
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yield chunk['content']
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@@ -553,9 +553,12 @@ def run_task(llm_service: LLMService, session: SessionDep, in_chat: bool = True)
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# select datasource if datasource is none
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if not llm_service.ds:
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ds_res = llm_service.select_datasource()
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if in_chat:
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for chunk in ds_res:
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for chunk in ds_res:
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print(chunk)
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if in_chat:
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yield orjson.dumps({'content': chunk, 'type': 'datasource-result'}).decode() + '\n\n'
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if in_chat:
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yield orjson.dumps({'id': llm_service.ds.id, 'datasource_name': llm_service.ds.name,
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'engine_type': llm_service.ds.type_name, 'type': 'datasource'}).decode() + '\n\n'
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