chore: Add pylint for DB-GPT rag lib (#1267)

dbgpt/rag/knowledge/string.py

@@ -1,3 +1,4 @@
+"""String Knowledge."""
 from typing import Any, List, Optional
 
 from dbgpt.rag.chunk import Document
@@ -5,22 +6,23 @@ from dbgpt.rag.knowledge.base import ChunkStrategy, Knowledge, KnowledgeType
 
 
 class StringKnowledge(Knowledge):
-    """String Knowledge"""
+    """String Knowledge."""
 
     def __init__(
         self,
-        text: str = None,
+        text: str = "",
         knowledge_type: KnowledgeType = KnowledgeType.TEXT,
         encoding: Optional[str] = "utf-8",
         loader: Optional[Any] = None,
         **kwargs: Any,
     ) -> None:
-        """Initialize with Knowledge arguments.
+        """Create String knowledge parameters.
+
         Args:
-            text:(str) text
-            knowledge_type:(KnowledgeType) knowledge type
-            encoding:(encoding) csv encoding
-            loader:(loader) loader
+            text(str): text
+            knowledge_type(KnowledgeType): knowledge type
+            encoding(str): encoding
+            loader(Any): loader
         """
         self._text = text
         self._type = knowledge_type
@@ -28,21 +30,25 @@ class StringKnowledge(Knowledge):
         self._encoding = encoding
 
     def _load(self) -> List[Document]:
-        """load raw text from loader"""
+        """Load raw text from loader."""
         metadata = {"source": "raw text"}
         docs = [Document(content=self._text, metadata=metadata)]
         return docs
 
     @classmethod
     def support_chunk_strategy(cls) -> List[ChunkStrategy]:
+        """Return support chunk strategy."""
         return [
             ChunkStrategy.CHUNK_BY_SIZE,
             ChunkStrategy.CHUNK_BY_SEPARATOR,
         ]
 
+    @classmethod
     def default_chunk_strategy(cls) -> ChunkStrategy:
+        """Return default chunk strategy."""
         return ChunkStrategy.CHUNK_BY_SIZE
 
     @classmethod
     def type(cls):
+        """Return knowledge type."""
         return KnowledgeType.TEXT