Feat: Add support for document meta fields update through api (#5120)

### What problem does this PR solve?

add support for update document meta data through  api
### Type of change

- [x] New Feature (non-breaking change which adds functionality)

Co-authored-by: wenju.li <wenju.li@deepctr.cn>
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>

api/apps/sdk/doc.py

@@ -255,6 +255,10 @@ def update_doc(tenant_id, dataset_id, document_id):
                 )
         if not DocumentService.update_by_id(document_id, {"name": req["name"]}):
             return get_error_data_result(message="Database error (Document rename)!")
+        if "meta_fields" in req:
+            if not isinstance(req["meta_fields"], dict):
+                return get_error_data_result(message="meta_fields must be a dictionary")
+            DocumentService.update_meta_fields(document_id, req["meta_fields"])
 
         informs = File2DocumentService.get_by_document_id(document_id)
         if informs:

api/db/services/document_service.py

@@ -372,6 +372,10 @@ class DocumentService(CommonService):
                     "progress_msg": "Task is queued...",
                     "process_begin_at": get_format_time()
                     })
+    @classmethod
+    @DB.connection_context()
+    def update_meta_fields(cls, doc_id, meta_fields):
+        return cls.update_by_id(doc_id, {"meta_fields": meta_fields})
 
     @classmethod
     @DB.connection_context()

docs/references/python_api_reference.md

@@ -262,6 +262,7 @@ A dictionary representing the attributes to update, with the following keys:
   - `"email"`: Email
   - `"knowledge_graph"`: Knowledge Graph  
     Ensure your LLM is properly configured on the **Settings** page before selecting this. Please also note that Knowledge Graph consumes a large number of Tokens!
+  - `"meta_fields"`: `dict[str, Any]` The meta fields of the dataset.
 
 #### Returns
 

sdk/python/ragflow_sdk/modules/document.py

@@ -49,6 +49,9 @@ class Document(Base):
         super().__init__(rag, res_dict)
 
     def update(self, update_message: dict):
+        if "meta_fields" in update_message:
+            if not isinstance(update_message["meta_fields"], dict):
+                raise Exception("meta_fields must be a dictionary")
         res = self.put(f'/datasets/{self.dataset_id}/documents/{self.id}',
                        update_message)
         res = res.json()