diff --git a/chunk.py b/chunk.py
index fed0ce3..1ee2dfd 100644
--- a/chunk.py
+++ b/chunk.py
@@ -1,28 +1,48 @@
 from ragflow_sdk import RAGFlow
 
-api_key = "ragflow-I5ZDNjMWNhNTdlMjExZjBiOTEwMzI0ZT"
-base_url = "http://192.168.107.165:8099"
+#api_key = "ragflow-I5ZDNjMWNhNTdlMjExZjBiOTEwMzI0ZT"
+#base_url = "http://192.168.107.165:8099"
+base_url = "http://localhost"
+api_key = "ragflow-MyMjM2ODE2NThlMTExZjBiMzJlNzY5Mj"
 
 rag_object = RAGFlow(api_key=api_key, base_url=base_url)
 #dataset = rag_object.create_dataset(name="kb_1")
 
+datasets = rag_object.list_datasets()
+#dataset = rag_object.list_datasets(name="kb_1")
+dataset = rag_object.list_datasets(name="制度")
 
-dataset = rag_object.list_datasets(name="kb_1")
 dataset = dataset[0]
 
 # filename1 = "ragflow.txt"
 # blob = open(filename1 , "rb").read()
 # dataset.upload_documents([{"display_name":filename1,"blob":blob}])
-for doc in dataset.list_documents( page=0, page_size=12):
-    print(doc)
-    print("=========================================")
+# for doc in dataset.list_documents( page=0, page_size=12):
+#     print(doc)
+#     print("=========================================")
 
 
-doc = dataset.list_documents(name= 'ragflow.txt')
+doc = dataset.list_documents(name= '科技创新管理办法（试行）.pdf')
 doc = doc[0]
-doc.update({"parser_config": {"chunk_token_count": 256}})
-chunk = doc.add_chunk(content="xxxxxxx")
-print(doc)
+# doc.update({"parser_config": {"chunk_token_count": 256}})
+file_path ="G:\\11\\ragflow_api_test\\1.txt"
+with open(file_path, 'r', encoding='utf-8') as file:
+    file_content = file.read()
+for num,txt_chunk in enumerate(file_content.split('\n\n')):
+    print(f"处理文本块: {txt_chunk[:30]}...")  # 打印前30个字符以示例
+
+    if txt_chunk.strip():  # 确保不是空行
+        chunk = doc.add_chunk(content=txt_chunk)
+        print(f"第{num+1} Chunk添加成功! ID: {chunk.id}")
+
+
+
+# content = '''
+# 第二章 部门职责>第六条 【财务管理部】
+# （一） 配合投标相关费用的办理工作；
+# （二） 负责提供投标所需的相关财务资料。'''
+# chunk = doc.add_chunk(content=content)
+# print(f"Chunk添加成功! ID: {chunk.id}")
 #dataset.upload_documents([{"display_name": "1.txt", "blob": open('1.txt',"rb").read()}])
 
 # 查询所有知识库