🔨 refactor(endpoints.py): remove unused get_flow_from_token function and HTTPBearer import

🐛 fix(endpoints.py): add check for flow data before processing
🔨 refactor(process.py): add type hints to process_tweaks function
The get_flow_from_token function and HTTPBearer import are removed as they are not used in the code. A check for flow data is added before processing to avoid errors when the flow data is None. The process_tweaks function is updated to include type hints for the graph_data and tweaks parameters.

src/backend/langflow/api/v1/endpoints.py

@@ -3,7 +3,6 @@ from langflow.processing.process import process_graph_cached, process_tweaks
 from langflow.utils.logger import logger
 
 from fastapi import APIRouter, Depends, HTTPException
-from fastapi.security import HTTPBearer
 
 from langflow.api.v1.schemas import (
     PredictRequest,
@@ -17,20 +16,6 @@ from sqlmodel import Session
 # build router
 router = APIRouter(tags=["Base"])
 
-security = HTTPBearer()
-
-
-def get_flow_from_token(
-    bearer: HTTPBearer = Depends(security), session: Session = Depends(get_session)
-) -> str:
-    # Extract the token, which is the flow_id in this case
-    flow_id = bearer.credentials
-    # Check if the flow_id exists in the database
-    flow = session.get(Flow, flow_id)
-    if flow is None:
-        raise HTTPException(status_code=401, detail="Invalid token")
-    return flow
-
 
 @router.get("/all")
 def get_all():
@@ -51,6 +36,9 @@ async def predict_flow(
         flow = session.get(Flow, flow_id)
         if flow is None:
             raise ValueError(f"Flow {flow_id} not found")
+
+        if flow.data is None:
+            raise ValueError(f"Flow {flow_id} has no data")
         graph_data = flow.data
         if predict_request.tweaks:
             graph_data = process_tweaks(graph_data, predict_request.tweaks)

src/backend/langflow/processing/process.py

@@ -172,7 +172,7 @@ def load_flow_from_json(path: str, build=True):
     return graph
 
 
-def process_tweaks(graph_data: dict, tweaks: dict):
+def process_tweaks(graph_data: Dict, tweaks: Dict):
     """This function is used to tweak the graph data using the node id and the tweaks dict"""
     # the tweaks dict is a dict of dicts
     # the key is the node id and the value is a dict of the tweaks