Fix some issues in API (#2902)

### What problem does this PR solve?

Fix some issues in API

### Type of change

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

Co-authored-by: liuhua <10215101452@stu.ecun.edu.cn>

sdk/python/ragflow/modules/dataset.py

@@ -1,78 +1,78 @@
-from typing import Optional, List
-
-from transformers.models.bloom.modeling_bloom import bloom_gelu_back
-
-from .document import Document
-
-from .base import Base
-
-
-class DataSet(Base):
-    class ParserConfig(Base):
-        def __init__(self, rag, res_dict):
-            self.chunk_token_count = 128
-            self.layout_recognize = True
-            self.delimiter = '\n!?。；！？'
-            self.task_page_size = 12
-            super().__init__(rag, res_dict)
-
-    def __init__(self, rag, res_dict):
-        self.id = ""
-        self.name = ""
-        self.avatar = ""
-        self.tenant_id = None
-        self.description = ""
-        self.language = "English"
-        self.embedding_model = ""
-        self.permission = "me"
-        self.document_count = 0
-        self.chunk_count = 0
-        self.parse_method = "naive"
-        self.parser_config = None
-        for k in list(res_dict.keys()):
-            if k not in self.__dict__:
-                res_dict.pop(k)
-        super().__init__(rag, res_dict)
-
-    def update(self, update_message: dict):
-        res = self.put(f'/dataset/{self.id}',
-                        update_message)
-        res = res.json()
-        if res.get("code") != 0:
-            raise Exception(res["message"])
-
-    def upload_documents(self,document_list: List[dict]):
-        url = f"/dataset/{self.id}/document"
-        files = [("file",(ele["name"],ele["blob"])) for ele in document_list]
-        res = self.post(path=url,json=None,files=files)
-        res = res.json()
-        if res.get("code") != 0:
-            raise Exception(res.get("message"))
-
-    def list_documents(self, id: str = None, keywords: str = None, offset: int =1, limit: int = 1024, orderby: str = "create_time", desc: bool = True):
-        res = self.get(f"/dataset/{self.id}/info",params={"id": id,"keywords": keywords,"offset": offset,"limit": limit,"orderby": orderby,"desc": desc})
-        res = res.json()
-        documents = []
-        if res.get("code") == 0:
-            for document in res["data"].get("docs"):
-                documents.append(Document(self.rag,document))
-            return documents
-        raise Exception(res["message"])
-
-    def delete_documents(self,ids: List[str] = None):
-        res = self.rm(f"/dataset/{self.id}/document",{"ids":ids})
-        res = res.json()
-        if res.get("code") != 0:
-            raise Exception(res["message"])
-
-    def async_parse_documents(self,document_ids):
-        res = self.post(f"/dataset/{self.id}/chunk",{"document_ids":document_ids})
-        res = res.json()
-        if res.get("code") != 0:
-            raise Exception(res.get("message"))
-
-    def async_cancel_parse_documents(self,document_ids):
-        res = self.rm(f"/dataset/{self.id}/chunk",{"document_ids":document_ids})
-        res = res.json()
-        if res.get("code") != 0:
-            raise Exception(res.get("message"))
+from typing import Optional, List
+
+from transformers.models.bloom.modeling_bloom import bloom_gelu_back
+
+from .document import Document
+
+from .base import Base
+
+
+class DataSet(Base):
+    class ParserConfig(Base):
+        def __init__(self, rag, res_dict):
+            self.chunk_token_count = 128
+            self.layout_recognize = True
+            self.delimiter = '\n!?。；！？'
+            self.task_page_size = 12
+            super().__init__(rag, res_dict)
+
+    def __init__(self, rag, res_dict):
+        self.id = ""
+        self.name = ""
+        self.avatar = ""
+        self.tenant_id = None
+        self.description = ""
+        self.language = "English"
+        self.embedding_model = ""
+        self.permission = "me"
+        self.document_count = 0
+        self.chunk_count = 0
+        self.chunk_method = "naive"
+        self.parser_config = None
+        for k in list(res_dict.keys()):
+            if k not in self.__dict__:
+                res_dict.pop(k)
+        super().__init__(rag, res_dict)
+
+    def update(self, update_message: dict):
+        res = self.put(f'/dataset/{self.id}',
+                        update_message)
+        res = res.json()
+        if res.get("code") != 0:
+            raise Exception(res["message"])
+
+    def upload_documents(self,document_list: List[dict]):
+        url = f"/dataset/{self.id}/document"
+        files = [("file",(ele["name"],ele["blob"])) for ele in document_list]
+        res = self.post(path=url,json=None,files=files)
+        res = res.json()
+        if res.get("code") != 0:
+            raise Exception(res.get("message"))
+
+    def list_documents(self, id: str = None, keywords: str = None, offset: int =1, limit: int = 1024, orderby: str = "create_time", desc: bool = True):
+        res = self.get(f"/dataset/{self.id}/info",params={"id": id,"keywords": keywords,"offset": offset,"limit": limit,"orderby": orderby,"desc": desc})
+        res = res.json()
+        documents = []
+        if res.get("code") == 0:
+            for document in res["data"].get("docs"):
+                documents.append(Document(self.rag,document))
+            return documents
+        raise Exception(res["message"])
+
+    def delete_documents(self,ids: List[str] = None):
+        res = self.rm(f"/dataset/{self.id}/document",{"ids":ids})
+        res = res.json()
+        if res.get("code") != 0:
+            raise Exception(res["message"])
+
+    def async_parse_documents(self,document_ids):
+        res = self.post(f"/dataset/{self.id}/chunk",{"document_ids":document_ids})
+        res = res.json()
+        if res.get("code") != 0:
+            raise Exception(res.get("message"))
+
+    def async_cancel_parse_documents(self,document_ids):
+        res = self.rm(f"/dataset/{self.id}/chunk",{"document_ids":document_ids})
+        res = res.json()
+        if res.get("code") != 0:
+            raise Exception(res.get("message"))