Merge branch 'feature/rag2' into develop

* feature/rag2:
  [add] batch add chunk for v1
  [fix] index_not_found_exception
  [fix] delete chunk refresh index
  [fix] es vector
  [fix] file upload
  no message
  [add] import qa chunks
  [add] task log
  [fix] qa cache
  [add] batch chunk.  qa_prompt set
  [modify] rag qa chunk

api/app/schemas/chunk_schema.py

@@ -20,13 +20,26 @@ class ChunkCreate(BaseModel):
 
     @property
     def chunk_content(self) -> str:
-        """
-        Get the actual content string regardless of input type
-        """
+        """Get the actual content string regardless of input type"""
         if isinstance(self.content, QAChunk):
-            return f"question: {self.content.question} answer: {self.content.answer}"
+            return self.content.question  # QA 模式下 page_content 存 question
         return self.content
 
+    @property
+    def is_qa(self) -> bool:
+        return isinstance(self.content, QAChunk)
+
+    @property
+    def qa_metadata(self) -> dict:
+        """返回 QA 相关的 metadata 字段"""
+        if isinstance(self.content, QAChunk):
+            return {
+                "chunk_type": "qa",
+                "question": self.content.question,
+                "answer": self.content.answer,
+            }
+        return {}
+
 
 class ChunkUpdate(BaseModel):
     content: Union[str, QAChunk] = Field(
@@ -35,13 +48,26 @@ class ChunkUpdate(BaseModel):
 
     @property
     def chunk_content(self) -> str:
-        """
-        Get the actual content string regardless of input type
-        """
+        """Get the actual content string regardless of input type"""
         if isinstance(self.content, QAChunk):
-            return f"question: {self.content.question} answer: {self.content.answer}"
+            return self.content.question  # QA 模式下 page_content 存 question
         return self.content
 
+    @property
+    def is_qa(self) -> bool:
+        return isinstance(self.content, QAChunk)
+
+    @property
+    def qa_metadata(self) -> dict:
+        """返回 QA 相关的 metadata 字段"""
+        if isinstance(self.content, QAChunk):
+            return {
+                "chunk_type": "qa",
+                "question": self.content.question,
+                "answer": self.content.answer,
+            }
+        return {}
+
 
 class ChunkRetrieve(BaseModel):
     query: str
@@ -51,3 +77,8 @@ class ChunkRetrieve(BaseModel):
     vector_similarity_weight: float | None = Field(None)
     top_k: int | None = Field(None)
     retrieve_type: RetrieveType | None = Field(None)
+
+
+class ChunkBatchCreate(BaseModel):
+    """批量创建 chunk"""
+    items: list[ChunkCreate] = Field(..., min_length=1, description="chunk 列表")