Update process.py with import statements and formatting improvements

src/backend/langflow/processing/process.py

@@ -7,6 +7,9 @@ from langchain.schema import AgentAction, Document
 from langchain_community.vectorstores import VectorStore
 from langchain_core.messages import AIMessage
 from langchain_core.runnables.base import Runnable
+from loguru import logger
+from pydantic import BaseModel
+
 from langflow.graph.graph.base import Graph
 from langflow.graph.vertex.base import Vertex
 from langflow.interface.custom.custom_component import CustomComponent
@@ -17,8 +20,6 @@ from langflow.interface.run import (
 )
 from langflow.services.deps import get_session_service
 from langflow.services.session.service import SessionService
-from loguru import logger
-from pydantic import BaseModel
 
 
 def fix_memory_inputs(langchain_object):
@@ -146,7 +147,9 @@ async def process_runnable(runnable: Runnable, inputs: Union[dict, List[dict]]):
     elif isinstance(inputs, dict) and hasattr(runnable, "ainvoke"):
         result = await runnable.ainvoke(inputs)
     else:
-        raise ValueError(f"Runnable {runnable} does not support inputs of type {type(inputs)}")
+        raise ValueError(
+            f"Runnable {runnable} does not support inputs of type {type(inputs)}"
+        )
     # Check if the result is a list of AIMessages
     if isinstance(result, list) and all(isinstance(r, AIMessage) for r in result):
         result = [r.content for r in result]
@@ -155,7 +158,9 @@ async def process_runnable(runnable: Runnable, inputs: Union[dict, List[dict]]):
     return result
 
 
-async def process_inputs_dict(built_object: Union[Chain, VectorStore, Runnable], inputs: dict):
+async def process_inputs_dict(
+    built_object: Union[Chain, VectorStore, Runnable], inputs: dict
+):
     if isinstance(built_object, Chain):
         if inputs is None:
             raise ValueError("Inputs must be provided for a Chain")
@@ -190,7 +195,9 @@ async def process_inputs_list(built_object: Runnable, inputs: List[dict]):
     return await process_runnable(built_object, inputs)
 
 
-async def generate_result(built_object: Union[Chain, VectorStore, Runnable], inputs: Union[dict, List[dict]]):
+async def generate_result(
+    built_object: Union[Chain, VectorStore, Runnable], inputs: Union[dict, List[dict]]
+):
     if isinstance(inputs, dict):
         result = await process_inputs_dict(built_object, inputs)
     elif isinstance(inputs, List) and isinstance(built_object, Runnable):
@@ -222,7 +229,9 @@ async def process_graph_cached(
     if clear_cache:
         session_service.clear_session(session_id)
     if session_id is None:
-        session_id = session_service.generate_key(session_id=session_id, data_graph=data_graph)
+        session_id = session_service.generate_key(
+            session_id=session_id, data_graph=data_graph
+        )
     # Load the graph using SessionService
     session = await session_service.load_session(session_id, data_graph)
     graph, artifacts = session if session else (None, None)
@@ -258,14 +267,34 @@ async def build_graph_and_generate_result(
     return Result(result=result, session_id=session_id)
 
 
-def validate_input(graph_data: Dict[str, Any], tweaks: Dict[str, Dict[str, Any]]) -> List[Dict[str, Any]]:
+async def run_graph(
+    graph: Union["Graph", dict],
+    session_id: str,
+    inputs: Optional[Union[dict, List[dict]]] = None,
+    artifacts: Optional[Dict[str, Any]] = None,
+    session_service: Optional[SessionService] = None,
+):
+    """Run the graph and generate the result"""
+    if isinstance(graph, dict):
+        graph = Graph.from_payload(graph)
+    outputs = await graph.run(inputs)
+    if session_id and session_service:
+        session_service.update_session(session_id, (graph, artifacts))
+    return outputs
+
+
+def validate_input(
+    graph_data: Dict[str, Any], tweaks: Dict[str, Dict[str, Any]]
+) -> List[Dict[str, Any]]:
     if not isinstance(graph_data, dict) or not isinstance(tweaks, dict):
         raise ValueError("graph_data and tweaks should be dictionaries")
 
     nodes = graph_data.get("data", {}).get("nodes") or graph_data.get("nodes")
 
     if not isinstance(nodes, list):
-        raise ValueError("graph_data should contain a list of nodes under 'data' key or directly under 'nodes' key")
+        raise ValueError(
+            "graph_data should contain a list of nodes under 'data' key or directly under 'nodes' key"
+        )
 
     return nodes
 
@@ -274,7 +303,9 @@ def apply_tweaks(node: Dict[str, Any], node_tweaks: Dict[str, Any]) -> None:
     template_data = node.get("data", {}).get("node", {}).get("template")
 
     if not isinstance(template_data, dict):
-        logger.warning(f"Template data for node {node.get('id')} should be a dictionary")
+        logger.warning(
+            f"Template data for node {node.get('id')} should be a dictionary"
+        )
         return
 
     for tweak_name, tweak_value in node_tweaks.items():
@@ -289,7 +320,9 @@ def apply_tweaks_on_vertex(vertex: Vertex, node_tweaks: Dict[str, Any]) -> None:
             vertex.params[tweak_name] = tweak_value
 
 
-def process_tweaks(graph_data: Dict[str, Any], tweaks: Dict[str, Dict[str, Any]]) -> Dict[str, Any]:
+def process_tweaks(
+    graph_data: Dict[str, Any], tweaks: Dict[str, Dict[str, Any]]
+) -> Dict[str, Any]:
     """
     This function is used to tweak the graph data using the node id and the tweaks dict.
 
@@ -310,7 +343,9 @@ def process_tweaks(graph_data: Dict[str, Any], tweaks: Dict[str, Dict[str, Any]]
             if node_tweaks := tweaks.get(node_id):
                 apply_tweaks(node, node_tweaks)
         else:
-            logger.warning("Each node should be a dictionary with an 'id' key of type str")
+            logger.warning(
+                "Each node should be a dictionary with an 'id' key of type str"
+            )
 
     return graph_data
 
@@ -322,6 +357,8 @@ def process_tweaks_on_graph(graph: Graph, tweaks: Dict[str, Dict[str, Any]]):
             if node_tweaks := tweaks.get(node_id):
                 apply_tweaks_on_vertex(vertex, node_tweaks)
         else:
-            logger.warning("Each node should be a Vertex with an 'id' attribute of type str")
+            logger.warning(
+                "Each node should be a Vertex with an 'id' attribute of type str"
+            )
 
     return graph