fix: ruff checker on github format

src/backend/base/langflow/api/utils.py

@@ -13,8 +13,6 @@ from langflow.services.database.models.flow import Flow
 from langflow.services.store.schema import StoreComponentCreate
 from langflow.services.store.utils import get_lf_version_from_pypi
 
-import uuid
-
 if TYPE_CHECKING:
     from langflow.graph.vertex.base import Vertex
     from langflow.services.database.models.flow.model import Flow
@@ -24,9 +22,7 @@ API_WORDS = ["api", "key", "token"]
 
 
 def has_api_terms(word: str):
-    return "api" in word and (
+    return "api" in word and ("key" in word or ("token" in word and "tokens" not in word))
-        "key" in word or ("token" in word and "tokens" not in word)
-    )
 
 
 def remove_api_keys(flow: dict):
@@ -36,11 +32,7 @@ def remove_api_keys(flow: dict):
             node_data = node.get("data").get("node")
             template = node_data.get("template")
             for value in template.values():
-                if (
+                if isinstance(value, dict) and has_api_terms(value["name"]) and value.get("password"):
-                    isinstance(value, dict)
-                    and has_api_terms(value["name"])
-                    and value.get("password")
-                ):
                     value["value"] = None
 
     return flow
@@ -61,9 +53,7 @@ def build_input_keys_response(langchain_object, artifacts):
             input_keys_response["input_keys"][key] = value
     # If the object has memory, that memory will have a memory_variables attribute
     # memory variables should be removed from the input keys
-    if hasattr(langchain_object, "memory") and hasattr(
+    if hasattr(langchain_object, "memory") and hasattr(langchain_object.memory, "memory_variables"):
-        langchain_object.memory, "memory_variables"
-    ):
         # Remove memory variables from input keys
         input_keys_response["input_keys"] = {
             key: value
@@ -73,9 +63,7 @@ def build_input_keys_response(langchain_object, artifacts):
         # Add memory variables to memory_keys
         input_keys_response["memory_keys"] = langchain_object.memory.memory_variables
 
-    if hasattr(langchain_object, "prompt") and hasattr(
+    if hasattr(langchain_object, "prompt") and hasattr(langchain_object.prompt, "template"):
-        langchain_object.prompt, "template"
-    ):
         input_keys_response["template"] = langchain_object.prompt.template
 
     return input_keys_response
@@ -114,11 +102,7 @@ def raw_frontend_data_is_valid(raw_frontend_data):
 def is_valid_data(frontend_node, raw_frontend_data):
     """Check if the data is valid for processing."""
 
-    return (
+    return frontend_node and "template" in frontend_node and raw_frontend_data_is_valid(raw_frontend_data)
-        frontend_node
-        and "template" in frontend_node
-        and raw_frontend_data_is_valid(raw_frontend_data)
-    )
 
 
 def update_template_values(frontend_template, raw_template):
@@ -192,9 +176,7 @@ async def check_langflow_version(component: StoreComponentCreate):
 
     langflow_version = get_lf_version_from_pypi()
     if langflow_version is None:
-        raise HTTPException(
+        raise HTTPException(status_code=500, detail="Unable to verify the latest version of Langflow")
-            status_code=500, detail="Unable to verify the latest version of Langflow"
-        )
     elif langflow_version != component.last_tested_version:
         warnings.warn(
             f"Your version of Langflow ({component.last_tested_version}) is outdated. "
@@ -224,16 +206,12 @@ def format_elapsed_time(elapsed_time: float) -> str:
         return f"{minutes} {minutes_unit}, {seconds} {seconds_unit}"
 
 
-async def build_graph_from_db(
+async def build_graph_from_db(flow_id: str, session: Session, chat_service: "ChatService"):
-    flow_id: str, session: Session, chat_service: "ChatService"
-):
     """Build and cache the graph."""
     flow: Optional[Flow] = session.get(Flow, flow_id)
     if not flow or not flow.data:
         raise ValueError("Invalid flow ID")
-    graph = Graph.from_payload(
+    graph = Graph.from_payload(flow.data, flow_id, flow_name=flow.name, user_id=str(flow.user_id))
-        flow.data, flow_id, flow_name=flow.name, user_id=str(flow.user_id)
-    )
     for vertex_id in graph._has_session_id_vertices:
         vertex = graph.get_vertex(vertex_id)
         if vertex is None:
@@ -307,14 +285,10 @@ async def get_next_runnable_vertices(
     """
     async with chat_service._cache_locks[flow_id] as lock:
         graph.remove_from_predecessors(vertex_id)
-        direct_successors_ready = [
+        direct_successors_ready = [v for v in vertex.successors_ids if graph.is_vertex_runnable(v)]
-            v for v in vertex.successors_ids if graph.is_vertex_runnable(v)
-        ]
         if not direct_successors_ready:
             # No direct successors ready, look for runnable predecessors of successors
-            next_runnable_vertices = graph.find_runnable_predecessors_for_successors(
+            next_runnable_vertices = graph.find_runnable_predecessors_for_successors(vertex_id)
-                vertex_id
-            )
         else:
             next_runnable_vertices = direct_successors_ready
 

src/backend/base/langflow/components/vectorstores/Cassandra.py

@@ -5,7 +5,6 @@ from langchain_community.vectorstores import Cassandra
 from langflow.base.vectorstores.model import LCVectorStoreComponent
 from langflow.helpers.data import docs_to_data
 from langflow.io import (
-    BoolInput,
     DropdownInput,
     HandleInput,
     IntInput,

src/backend/base/langflow/components/vectorstores/Couchbase.py

@@ -5,7 +5,7 @@ from langchain_community.vectorstores import CouchbaseVectorStore
 
 from langflow.base.vectorstores.model import LCVectorStoreComponent
 from langflow.helpers.data import docs_to_data
-from langflow.io import BoolInput, HandleInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
+from langflow.io import HandleInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
 from langflow.schema import Data
 
 

src/backend/base/langflow/components/vectorstores/Pinecone.py

@@ -5,7 +5,6 @@ from langchain_pinecone import Pinecone
 from langflow.base.vectorstores.model import LCVectorStoreComponent
 from langflow.helpers.data import docs_to_data
 from langflow.io import (
-    BoolInput,
     DropdownInput,
     HandleInput,
     IntInput,

src/backend/base/langflow/components/vectorstores/Qdrant.py

@@ -5,7 +5,6 @@ from langchain_community.vectorstores import Qdrant
 from langflow.base.vectorstores.model import LCVectorStoreComponent
 from langflow.helpers.data import docs_to_data
 from langflow.io import (
-    BoolInput,
     DropdownInput,
     HandleInput,
     IntInput,

src/backend/base/langflow/components/vectorstores/Upstash.py

@@ -4,7 +4,7 @@ from langchain_community.vectorstores import UpstashVectorStore
 
 from langflow.base.vectorstores.model import LCVectorStoreComponent
 from langflow.helpers.data import docs_to_data
-from langflow.io import BoolInput, HandleInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
+from langflow.io import HandleInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
 from langflow.schema import Data
 
 

src/backend/base/langflow/components/vectorstores/Vectara.py

@@ -5,7 +5,7 @@ from langchain_community.vectorstores import Vectara
 
 from langflow.base.vectorstores.model import LCVectorStoreComponent
 from langflow.helpers.data import docs_to_data
-from langflow.io import BoolInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
+from langflow.io import IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
 from langflow.schema import Data
 
 

src/backend/base/langflow/components/vectorstores/pgvector.py

@@ -4,7 +4,7 @@ from langchain_community.vectorstores import PGVector
 
 from langflow.base.vectorstores.model import LCVectorStoreComponent
 from langflow.helpers.data import docs_to_data
-from langflow.io import BoolInput, HandleInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
+from langflow.io import HandleInput, IntInput, StrInput, SecretStrInput, DataInput, MultilineInput
 from langflow.schema import Data