Refactor process method to align it with endpoint logic (#1700)

* Refactor Graph class to improve parallel processing in base.py

* Fix type hint for run_id parameter in set_run_id method

src/backend/base/langflow/graph/graph/base.py

@@ -1,5 +1,7 @@
 import asyncio
+import uuid
 from collections import defaultdict, deque
+from functools import partial
 from itertools import chain
 from typing import TYPE_CHECKING, Callable, Coroutine, Dict, Generator, List, Optional, Type, Union
 
@@ -16,6 +18,7 @@ from langflow.graph.vertex.types import ChatVertex, FileToolVertex, LLMVertex, R
 from langflow.interface.tools.constants import FILE_TOOLS
 from langflow.schema import Record
 from langflow.schema.schema import INPUT_FIELD_NAME, InputType
+from langflow.services.deps import get_chat_service
 
 if TYPE_CHECKING:
     from langflow.graph.schema import ResultData
@@ -164,13 +167,14 @@ class Graph:
             raise ValueError("Run ID not set")
         return self._run_id
 
-    def set_run_id(self, run_id: str):
+    def set_run_id(self, run_id: str | uuid.UUID):
         """
         Sets the ID of the current run.
 
         Args:
             run_id (str): The run ID.
         """
+        run_id = str(run_id)
         for vertex in self.vertices:
             self.state_manager.subscribe(run_id, vertex.update_graph_state)
         self._run_id = run_id
@@ -748,31 +752,53 @@ class Graph:
     async def process(self, start_component_id: Optional[str] = None) -> "Graph":
         """Processes the graph with vertices in each layer run in parallel."""
 
-        self.sort_vertices(start_component_id=start_component_id)
+        first_layer = self.sort_vertices(start_component_id=start_component_id)
-        vertices_layers = self.sorted_vertices_layers
         vertex_task_run_count: Dict[str, int] = {}
-        for layer_index, layer in enumerate(vertices_layers):
+        to_process = deque(first_layer)
+        layer_index = 0
+        chat_service = get_chat_service()
+        run_id = uuid.uuid4()
+        self.set_run_id(run_id)
+        while to_process:
+            current_batch = list(to_process)  # Copy current deque items to a list
+            to_process.clear()  # Clear the deque for new items
             tasks = []
-            for vertex_id in layer:
+            for vertex_id in current_batch:
                 vertex = self.get_vertex(vertex_id)
+                lock = chat_service._cache_locks[self.run_id]
+                set_cache_coro = partial(chat_service.set_cache, flow_id=self.run_id)
                 task = asyncio.create_task(
-                    vertex.build(),
+                    self.build_vertex(
+                        lock=lock,
+                        set_cache_coro=set_cache_coro,
+                        vertex_id=vertex_id,
+                        user_id=None,
+                        inputs_dict={},
+                    ),
                     name=f"{vertex.display_name} Run {vertex_task_run_count.get(vertex_id, 0)}",
                 )
                 tasks.append(task)
                 vertex_task_run_count[vertex_id] = vertex_task_run_count.get(vertex_id, 0) + 1
+
             logger.debug(f"Running layer {layer_index} with {len(tasks)} tasks")
-            await self._execute_tasks(tasks)
+            next_runnable_vertices = await self._execute_tasks(tasks)
+            to_process.extend(next_runnable_vertices)
+
         logger.debug("Graph processing complete")
         return self
 
-    async def _execute_tasks(self, tasks):
+    async def _execute_tasks(self, tasks: List[asyncio.Task]) -> List[str]:
         """Executes tasks in parallel, handling exceptions for each task."""
         results = []
         for i, task in enumerate(asyncio.as_completed(tasks)):
             try:
                 result = await task
-                results.append(result)
+                if isinstance(result, tuple) and len(result) == 7:
+                    # Get the next runnable vertices
+                    next_runnable_vertices = result[0]
+                    results.extend(next_runnable_vertices)
+                else:
+                    raise ValueError(f"Invalid result: {result}")
             except Exception as e:
                 # Log the exception along with the task name for easier debugging
                 # task_name = task.get_name()