Fix: Add Knowledge Base Document Parsing Status Check (#5966)

When creating and updating chats, add a check for the parsing status of
knowledge base documents. Ensure that all documents have been parsed
before allowing chat creation to improve user experience and system
stability.

**Main Changes:**

- Add document parsing status check logic in `chat.py`.
- Implement the `is_parsed_done` method in `knowledgebase_service.py`.
- Prevent chat creation when documents are being parsed or parsing has
failed.

### What problem does this PR solve?

fix this bug：https://github.com/infiniflow/ragflow/issues/5960

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

Co-authored-by: wenju.li <wenju.li@deepctr.cn>

api/apps/sdk/chat.py

@@ -40,6 +40,12 @@ def create(tenant_id):
         kb = kbs[0]
         if kb.chunk_num == 0:
             return get_error_data_result(f"The dataset {kb_id} doesn't own parsed file")
+        
+        # Check if all documents in the knowledge base have been parsed
+        is_done, error_msg = KnowledgebaseService.is_parsed_done(kb_id)
+        if not is_done:
+            return get_error_data_result(error_msg)
+    
     kbs = KnowledgebaseService.get_by_ids(ids) if ids else []
     embd_ids = [TenantLLMService.split_model_name_and_factory(kb.embd_id)[0] for kb in kbs]  # remove vendor suffix for comparison
     embd_count = list(set(embd_ids))
@@ -176,6 +182,12 @@ def update(tenant_id, chat_id):
                 kb = kbs[0]
                 if kb.chunk_num == 0:
                     return get_error_data_result(f"The dataset {kb_id} doesn't own parsed file")
+                
+                # Check if all documents in the knowledge base have been parsed
+                is_done, error_msg = KnowledgebaseService.is_parsed_done(kb_id)
+                if not is_done:
+                    return get_error_data_result(error_msg)
+                
             kbs = KnowledgebaseService.get_by_ids(ids)
             embd_ids = [TenantLLMService.split_model_name_and_factory(kb.embd_id)[0] for kb in kbs]  # remove vendor suffix for comparison
             embd_count = list(set(embd_ids))

api/db/services/knowledgebase_service.py

@@ -22,6 +22,42 @@ from peewee import fn
 class KnowledgebaseService(CommonService):
     model = Knowledgebase
 
+    @classmethod
+    @DB.connection_context()
+    def is_parsed_done(cls, kb_id):
+        """
+        Check if all documents in the knowledge base have completed parsing
+        
+        Args:
+            kb_id: Knowledge base ID
+            
+        Returns:
+            If all documents are parsed successfully, returns (True, None)
+            If any document is not fully parsed, returns (False, error_message)
+        """
+        from api.db import TaskStatus
+        from api.db.services.document_service import DocumentService
+        
+        # Get knowledge base information
+        kbs = cls.query(id=kb_id)
+        if not kbs:
+            return False, "Knowledge base not found"
+        kb = kbs[0]
+        
+        # Get all documents in the knowledge base
+        docs, _ = DocumentService.get_by_kb_id(kb_id, 1, 1000, "create_time", True, "")
+        
+        # Check parsing status of each document
+        for doc in docs:
+            # If document is being parsed, don't allow chat creation
+            if doc['run'] == TaskStatus.RUNNING.value or doc['run'] == TaskStatus.CANCEL.value or doc['run'] == TaskStatus.FAIL.value:
+                return False, f"Document '{doc['name']}' in dataset '{kb.name}' is still being parsed. Please wait until all documents are parsed before starting a chat."
+            # If document is not yet parsed and has no chunks, don't allow chat creation
+            if doc['run'] == TaskStatus.UNSTART.value and doc['chunk_num'] == 0:
+                return False, f"Document '{doc['name']}' in dataset '{kb.name}' has not been parsed yet. Please parse all documents before starting a chat."
+        
+        return True, None
+
     @classmethod
     @DB.connection_context()
     def list_documents_by_ids(cls,kb_ids):