chore(RetrievalQAWithSourcesChain.py): reorder imports to improve readability and maintain consistency

chore(AZLyricsLoader.py): reorder imports to improve readability and maintain consistency

chore(AirbyteJSONLoader.py): reorder imports to improve readability and maintain consistency

chore(CoNLLULoader.py): add import for List from typing module to fix type hinting

chore(CollegeConfidentialLoader.py): add import for List from typing module to fix type hinting

chore(EverNoteLoader.py): reorder imports to improve readability and maintain consistency

chore(FacebookChatLoader.py): add import for List from typing module to fix type hinting

chore(GitbookLoader.py): reorder imports to improve readability and maintain consistency

chore(HNLoader.py): add import for List from typing module to fix type hinting

chore(IMSDbLoader.py): add import for List from typing module to fix type hinting

chore(TextLoader.py): reorder imports to improve readability and maintain consistency

chore(CohereEmbeddings.py): change default value of cohere_api_key parameter to an empty string

chore(OpenAIEmbeddings.py): change default values of allowed_special, disallowed_special, chunk_size, embedding_ctx_length, max_retries, show_progress_bar, skip_empty, and tikToken_enable parameters to their respective types

src/backend/langflow/components/chains/RetrievalQAWithSourcesChain.py

@@ -1,6 +1,7 @@
 from typing import Optional
 
-from langchain.chains import BaseQAWithSourcesChain, RetrievalQAWithSourcesChain
+from langchain.chains import RetrievalQAWithSourcesChain
+from langchain.chains.qa_with_sources.base import BaseQAWithSourcesChain
 from langchain.chains.combine_documents.base import BaseCombineDocumentsChain
 
 from langflow import CustomComponent

src/backend/langflow/components/documentloaders/AZLyricsLoader.py

@@ -1,6 +1,6 @@
 from langflow import CustomComponent
 from langflow.field_typing import Document
-from typing import Optional, Dict
+from typing import List, Optional, Dict
 from langchain_community.document_loaders.azlyrics import AZLyricsLoader
 
 
@@ -15,7 +15,7 @@ class AZLyricsLoaderComponent(CustomComponent):
             "web_path": {"display_name": "Web Page", "type": "str", "required": True, "show": True},
         }
 
-    def build(self, metadata: Optional[Dict] = None, web_path: str = "") -> Document:
+    def build(self, metadata: Optional[Dict] = None, web_path: str = "") -> List[Document]:
         documents = AZLyricsLoader(web_path=web_path).load()
         if metadata:
             for document in documents:

src/backend/langflow/components/documentloaders/AirbyteJSONLoader.py

@@ -1,6 +1,6 @@
 from langflow import CustomComponent
 from langflow.field_typing import Document
-from typing import Optional, Dict
+from typing import List, Optional, Dict
 from langchain_community.document_loaders.airbyte_json import AirbyteJSONLoader
 
 
@@ -26,7 +26,7 @@ class AirbyteJSONLoaderComponent(CustomComponent):
             },
         }
 
-    def build(self, file_path: str, metadata: Optional[Dict] = None) -> Document:
+    def build(self, file_path: str, metadata: Optional[Dict] = None) -> List[Document]:
         documents = AirbyteJSONLoader(file_path=file_path).load()
         if metadata:
             for document in documents:

src/backend/langflow/components/documentloaders/CoNLLULoader.py

@@ -1,3 +1,4 @@
+from typing import List
 from langflow import CustomComponent
 from langchain.docstore.document import Document
 from langchain_community.document_loaders.conllu import CoNLLULoader
@@ -24,7 +25,7 @@ class CoNLLULoaderComponent(CustomComponent):
             },
         }
 
-    def build(self, file_path: str, metadata: dict) -> Document:
+    def build(self, file_path: str, metadata: dict) -> List[Document]:
         documents = CoNLLULoader(file_path=file_path).load()
         if metadata:
             for document in documents:

src/backend/langflow/components/documentloaders/CollegeConfidentialLoader.py

@@ -1,6 +1,6 @@
 from langflow import CustomComponent
 from langchain.docstore.document import Document
-from typing import Optional
+from typing import Optional, List
 from langchain_community.document_loaders.college_confidential import CollegeConfidentialLoader
 
 
@@ -17,7 +17,7 @@ class CollegeConfidentialLoaderComponent(CustomComponent):
             "web_path": {"display_name": "Web Page", "required": True},
         }
 
-    def build(self, web_path: str, metadata: Optional[dict] = {}) -> Document:
+    def build(self, web_path: str, metadata: Optional[dict] = {}) -> List[Document]:
         documents = CollegeConfidentialLoader(web_path=web_path).load()
         if metadata:
             for document in documents:

src/backend/langflow/components/documentloaders/EverNoteLoader.py

@@ -1,6 +1,6 @@
 from langflow import CustomComponent
 from langflow.field_typing import Document
-from typing import Optional, Dict
+from typing import List, Optional, Dict
 from langchain_community.document_loaders.evernote import EverNoteLoader
 
 
@@ -27,7 +27,7 @@ class EverNoteLoaderComponent(CustomComponent):
             },
         }
 
-    def build(self, file_path: str, metadata: Optional[Dict] = None) -> Document:
+    def build(self, file_path: str, metadata: Optional[Dict] = None) -> List[Document]:
         documents = EverNoteLoader(file_path=file_path).load()
         if metadata:
             for document in documents:

src/backend/langflow/components/documentloaders/FacebookChatLoader.py

@@ -1,6 +1,6 @@
 from langflow import CustomComponent
 from langchain.docstore.document import Document
-from typing import Optional, Dict
+from typing import List, Optional, Dict
 from langchain_community.document_loaders.facebook_chat import FacebookChatLoader
 
 
@@ -26,8 +26,8 @@ class FacebookChatLoaderComponent(CustomComponent):
             },
         }
 
-    def build(self, file_path: str, metadata: Optional[Dict] = None) -> Document:
-        documents = FacebookChatLoader(file_path=file_path).load()
+    def build(self, file_path: str, metadata: Optional[Dict] = None) -> List[Document]:
+        documents = FacebookChatLoader(path=file_path).load()
         if metadata:
             for document in documents:
                 if not document.metadata:

src/backend/langflow/components/documentloaders/GitbookLoader.py

@@ -1,6 +1,6 @@
 from langflow import CustomComponent
 from langflow.field_typing import Document
-from typing import Optional, Dict
+from typing import List, Optional, Dict
 from langchain_community.document_loaders.gitbook import GitbookLoader
 
 
@@ -21,7 +21,7 @@ class GitbookLoaderComponent(CustomComponent):
             },
         }
 
-    def build(self, metadata: Optional[Dict] = None, web_page: str = "") -> Document:
+    def build(self, metadata: Optional[Dict] = None, web_page: str = "") -> List[Document]:
         documents = GitbookLoader(web_page=web_page).load()
         if metadata:
             for document in documents:

src/backend/langflow/components/documentloaders/HNLoader.py

@@ -1,6 +1,7 @@
 from langflow import CustomComponent
-from typing import Optional, Dict
+from typing import List, Optional, Dict
 from langchain_community.document_loaders.hn import HNLoader
+from langflow.field_typing import Document
 
 
 class HNLoaderComponent(CustomComponent):
@@ -17,7 +18,7 @@ class HNLoaderComponent(CustomComponent):
         self,
         web_path: str,
         metadata: Optional[Dict] = None,
-    ) -> HNLoader:
+    ) -> List[Document]:
         documents = HNLoader(web_path=web_path).load()
         if metadata:
             for document in documents:

src/backend/langflow/components/documentloaders/IMSDbLoader.py

@@ -2,7 +2,7 @@ from langflow import CustomComponent
 from langflow.field_typing import Document
 from langchain_community.document_loaders.imsdb import IMSDbLoader
 
-from typing import Dict, Optional
+from typing import Dict, List, Optional
 
 
 class IMSDbLoaderComponent(CustomComponent):
@@ -19,7 +19,7 @@ class IMSDbLoaderComponent(CustomComponent):
         self,
         metadata: Optional[Dict] = None,
         web_path: str = "",
-    ) -> Document:
+    ) -> List[Document]:
         documents = IMSDbLoader(web_path=web_path).load()
         if metadata:
             for document in documents:

src/backend/langflow/components/documentloaders/TextLoader.py

@@ -1,5 +1,5 @@
 from langflow import CustomComponent
-from langchain.data_connections import Document
+from langflow.field_typing import Document
 from typing import Optional, Dict
 
 

src/backend/langflow/components/embeddings/CohereEmbeddings.py

@@ -21,7 +21,7 @@ class CohereEmbeddingsComponent(CustomComponent):
     def build(
         self,
         request_timeout: Optional[float] = None,
-        cohere_api_key: str = None,
+        cohere_api_key: str = "",
         max_retries: Optional[int] = None,
         model: str = "embed-english-v2.0",
         truncate: Optional[str] = None,

src/backend/langflow/components/embeddings/OpenAIEmbeddings.py

@@ -68,13 +68,13 @@ class OpenAIEmbeddingsComponent(CustomComponent):
         self,
         default_headers: Optional[Dict[str, str]] = None,
         default_query: Optional[NestedDict] = {},
-        allowed_special: Optional[List[str]] = [],
+        allowed_special: List[str] = [],
         disallowed_special: List[str] = ["all"],
-        chunk_size: Optional[int] = 1000,
+        chunk_size: int = 1000,
         client: Optional[Any] = None,
         deployment: str = "text-embedding-ada-002",
-        embedding_ctx_length: Optional[int] = 8191,
-        max_retries: Optional[int] = 6,
+        embedding_ctx_length: int = 8191,
+        max_retries: int = 6,
         model: str = "text-embedding-ada-002",
         model_kwargs: NestedDict = {},
         openai_api_base: Optional[str] = None,
@@ -84,9 +84,9 @@ class OpenAIEmbeddingsComponent(CustomComponent):
         openai_organization: Optional[str] = None,
         openai_proxy: Optional[str] = None,
         request_timeout: Optional[float] = None,
-        show_progress_bar: Optional[bool] = False,
-        skip_empty: Optional[bool] = False,
-        tikToken_enable: Optional[bool] = True,
+        show_progress_bar: bool = False,
+        skip_empty: bool = False,
+        tikToken_enable: bool = True,
         tiktoken_model_name: Optional[str] = None,
     ) -> Union[OpenAIEmbeddings, Callable]:
         return OpenAIEmbeddings(