WIP: Adapter to aid in debugging issues

examples/notebook_debug/example_error.py

@@ -0,0 +1,11 @@
+def input_function() -> int:
+    return 2
+
+
+def output_function(input_function: int) -> int:
+    return input_function + 1
+
+
+def error_function(input_function: int, output_function: int, input: int) -> int:
+    raise ValueError("This is an error")
+    return input_function + output_function + input

examples/notebook_debug/notebook_debugger_plugin.py

@@ -0,0 +1,100 @@
+import inspect
+import logging
+from typing import Any, Callable, Dict, Optional
+
+from hamilton import lifecycle
+
+try:
+    import cloudpickle as pickle
+except ImportError:
+    import pickle
+
+logger = logging.getLogger(__name__)
+
+
+template = """
+try:
+    import cloudpickle as pickle
+except ImportError:
+    import pickle
+
+import {module_name}  # we load this for imports
+
+# let's load the inputs
+with open('{node_name}_inputs.pkl', 'rb') as f:
+    inputs = pickle.load(f)
+
+# the function that errored
+{function_to_debug}
+
+
+# run the function
+{func_name}(**inputs)
+"""
+
+
+class NotebookErrorDebugger(lifecycle.NodeExecutionHook):
+
+    def run_before_node_execution(
+        self,
+        *,
+        node_name: str,
+        node_tags: Dict[str, Any],
+        node_kwargs: Dict[str, Any],
+        node_return_type: type,
+        task_id: Optional[str],
+        run_id: str,
+        node_input_types: Dict[str, Any],
+        **future_kwargs: Any,
+    ):
+        pass
+
+    def run_after_node_execution(
+        self,
+        *,
+        node_name: str,
+        node_tags: Dict[str, Any],
+        node_kwargs: Dict[str, Any],
+        node_return_type: type,
+        result: Any,
+        error: Optional[Exception],
+        success: bool,
+        task_id: Optional[str],
+        run_id: str,
+        originating_function: Callable,
+        **future_kwargs: Any,
+    ):
+        """
+        This function will create the follow in the case of a failure:
+
+        1. It will pickle of the inputs to the function.
+        2. It will create a file with the following:
+            a. it will import the module the function is from -- to cover any imports that need to exist.
+            b. it will load the pickled inputs.
+            c. it will have the code of the function that errored so you can debug it.
+            d. it will then also list python version, hamilton version, and any other relevant package versions for
+            the user to install / have.
+        2. It will then print out where this data has been saved for the user to then debug.
+        """
+        if not success:
+            # pickle the inputs
+            with open(f"{node_name}_inputs.pkl", "wb") as f:
+                pickle.dump(node_kwargs, f)
+            # create a file with the function and the inputs
+            with open(f"{node_name}_debug.py", "w") as f:
+                f.write(
+                    template.format(
+                        module_name=node_tags.get("module"),
+                        node_name=node_name,
+                        function_to_debug=inspect.getsource(originating_function),
+                        func_name=originating_function.__name__,
+                    )
+                )
+            # print out where the data has been saved
+            message = (
+                f"Inputs to {node_name} have been saved to {node_name}_inputs.pkl\n"
+                f"The function that errored has been saved to {node_name}_debug.py\n"
+                f"Please run the function in {node_name}_debug.py to debug the error."
+            )
+            logger.warning(message)
+            # TODO: create file with python requirements for pickle to work...

examples/notebook_debug/run.py

@@ -0,0 +1,8 @@
+if __name__ == "__main__":
+    import example_error
+    from notebook_debugger_plugin import NotebookErrorDebugger
+
+    from hamilton import driver
+
+    dr = driver.Builder().with_modules(example_error).with_adapters(NotebookErrorDebugger()).build()
+    dr.execute(["error_function"], inputs={"input": 4})

hamilton/lifecycle/api.py

@@ -1,7 +1,18 @@
 import abc
 from abc import ABC
 from types import ModuleType
-from typing import TYPE_CHECKING, Any, Collection, Dict, List, Optional, Tuple, Type, final
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    Callable,
+    Collection,
+    Dict,
+    List,
+    Optional,
+    Tuple,
+    Type,
+    final,
+)
 
 from hamilton import graph_types, node
 
@@ -224,6 +235,7 @@ def run_after_node_execution(
         success: bool,
         task_id: Optional[str],
         run_id: str,
+        originating_function: Callable,
         **future_kwargs: Any,
     ):
         """Hook that is executed post node execution.
@@ -265,6 +277,7 @@ def post_node_execute(
             task_id=task_id,
             success=success,
             run_id=run_id,
+            originating_function=node_.originating_functions[0],
         )