Added CustomOpenaiCallback to ensure exclusive access to nested data.

scrapegraphai/graphs/base_graph.py

@@ -4,8 +4,8 @@
 import time
 import warnings
 from typing import Tuple
-from langchain_community.callbacks import get_openai_callback
 from ..telemetry import log_graph_execution
+from ..utils import CustomOpenAiCallbackManager
 
 class BaseGraph:
     """
@@ -52,6 +52,7 @@ def __init__(self, nodes: list, edges: list, entry_point: str, use_burr: bool =
         self.entry_point = entry_point.node_name
         self.graph_name = graph_name
         self.initial_state = {}
+        self.callback_manager = CustomOpenAiCallbackManager()
 
         if nodes[0].node_name != entry_point.node_name:
             # raise a warning if the entry point is not the first node in the list
@@ -154,7 +155,7 @@ def _execute_standard(self, initial_state: dict) -> Tuple[dict, list]:
                             except Exception as e:
                                 schema = None
 
-            with get_openai_callback() as cb:
+            with self.callback_manager.exclusive_get_openai_callback() as cb:
                 try:
                     result = current_node.execute(state)
                 except Exception as e:
@@ -176,23 +177,24 @@ def _execute_standard(self, initial_state: dict) -> Tuple[dict, list]:
                 node_exec_time = time.time() - curr_time
                 total_exec_time += node_exec_time
 
-                cb_data = {
-                    "node_name": current_node.node_name,
-                    "total_tokens": cb.total_tokens,
-                    "prompt_tokens": cb.prompt_tokens,
-                    "completion_tokens": cb.completion_tokens,
-                    "successful_requests": cb.successful_requests,
-                    "total_cost_USD": cb.total_cost,
-                    "exec_time": node_exec_time,
-                }
-
-                exec_info.append(cb_data)
-
-                cb_total["total_tokens"] += cb_data["total_tokens"]
-                cb_total["prompt_tokens"] += cb_data["prompt_tokens"]
-                cb_total["completion_tokens"] += cb_data["completion_tokens"]
-                cb_total["successful_requests"] += cb_data["successful_requests"]
-                cb_total["total_cost_USD"] += cb_data["total_cost_USD"]
+                if cb is not None:
+                    cb_data = {
+                        "node_name": current_node.node_name,
+                        "total_tokens": cb.total_tokens,
+                        "prompt_tokens": cb.prompt_tokens,
+                        "completion_tokens": cb.completion_tokens,
+                        "successful_requests": cb.successful_requests,
+                        "total_cost_USD": cb.total_cost,
+                        "exec_time": node_exec_time,
+                    }
+
+                    exec_info.append(cb_data)
+
+                    cb_total["total_tokens"] += cb_data["total_tokens"]
+                    cb_total["prompt_tokens"] += cb_data["prompt_tokens"]
+                    cb_total["completion_tokens"] += cb_data["completion_tokens"]
+                    cb_total["successful_requests"] += cb_data["successful_requests"]
+                    cb_total["total_cost_USD"] += cb_data["total_cost_USD"]
 
             if current_node.node_type == "conditional_node":
                 current_node_name = result

scrapegraphai/utils/__init__.py

@@ -17,3 +17,4 @@
 from .screenshot_scraping.text_detection import detect_text
 from .tokenizer import num_tokens_calculus
 from .split_text_into_chunks import split_text_into_chunks
+from .custom_openai_callback import CustomOpenAiCallbackManager

scrapegraphai/utils/custom_openai_callback.py

@@ -0,0 +1,17 @@
+import threading
+from contextlib import contextmanager
+from langchain_community.callbacks import get_openai_callback
+
+class CustomOpenAiCallbackManager:
+    _lock = threading.Lock()
+
+    @contextmanager
+    def exclusive_get_openai_callback(self):
+        if CustomOpenAiCallbackManager._lock.acquire(blocking=False):
+            try:
+                with get_openai_callback() as cb:
+                    yield cb
+            finally:
+                CustomOpenAiCallbackManager._lock.release()
+        else:
+            yield None