fix: QAGenerationChain隐藏preset question

src/backend/bisheng/template/frontend_node/chains.py

@@ -166,8 +166,12 @@ def format_field(field: TemplateField, name: Optional[str] = None) -> None:
             field.show = True
             field.field_type = 'function'
             field.name = 'atransform'
-        if name in ['QAGenerationChain', 'QAGenerationChainV2'] and field.name in ['k', 'chunk_size']:
-            field.show = True
+        if name in ['QAGenerationChain', 'QAGenerationChainV2']:
+            if field.name in ['k', 'chunk_size']:
+                field.show = True
+            elif field.name =='input_node':
+                field.show = False
+
 
 
 class SeriesCharacterChainNode(FrontendNode):

src/bisheng-langchain/bisheng_langchain/chains/qa_generation/base.py

@@ -104,47 +104,19 @@ def _call(
         docs = self.text_splitter.create_documents([contents])
         # len(qa) = min(len(docs), self.k)
         logger.info(f"Split {len(docs)} documents. Gen qa num: min({len(docs)}, {self.k}).")
-
-<<<<<<< feat/rag_optimize
-        qa = []
-        for doc in docs:
-            results = self.llm_chain.generate([{"text": doc.page_content}], run_manager=run_manager)
-            res = results.generations[0]
-=======
-        results = self.llm_chain.generate(
-            [{"text": d.page_content} for d in docs], run_manager=run_manager
-        )
         qa = ''
         qa_i = 0
-        for res in results.generations:
->>>>>>> feat/0.3.1.5
+        for doc in docs:
             try:
-                # response = json.loads(parse_json(res[0].text))
+                results = self.llm_chain.generate([{"text": doc.page_content}], run_manager=run_manager)
+                res = results.generations[0]
                 qa += res[0].text
                 qa_i += 1
             except Exception as e:
-                logger.error(f"Failed to parse response: {res[0].text}. Error: {e}")
+                logger.error(f"Failed to parse response Error: {e}")
                 continue
-
-            if self.k is not None:
-                if qa_i >= self.k:
-                    break
-
-        # results = self.llm_chain.generate(
-        #     [{"text": d.page_content} for d in docs], run_manager=run_manager
-        # )
-        # qa = []
-        # for res in results.generations:
-        #     try:
-        #         response = json.loads(parse_json(res[0].text))
-        #         qa.append(response)
-        #     except Exception as e:
-        #         logger.error(f"Failed to parse response: {res[0].text}. Error: {e}")
-        #         continue
-
-        #     if self.k is not None:
-        #         if len(qa) >= self.k:
-        #             break
+            if self.k is not None and qa_i >= self.k:
+                break
         return {self.output_key: qa}
 
     async def _acall(