GraphComponentException: Error running graph component for node train_UnexpecTEDIntentPolicy2.

[sentry]

We think this is due to intent not in domain file. Do we not catch this with validation? Try to reproduce and see if we can provide better error message.

Sentry Issue: RASA-OPEN-SOURCE-HAN

ValueError: 'act_greeting' is not in list (3 additional frame(s) were not displayed) ... File "rasa\core\policies\policy.py", line 242, in _featurize_for_training state_features, label_ids, entity_tags = self.featurizer.featurize_trackers( File "rasa\core\featurizers\tracker_featurizers.py", line 333, in featurize_trackers label_ids = self._convert_labels_to_ids(trackers_as_labels, domain) File "rasa\core\featurizers\tracker_featurizers.py", line 903, in _convert_labels_to_ids label_ids = [ File "rasa\core\featurizers\tracker_featurizers.py", line 904, in [domain.intents.index(intent) for intent in tracker_intents] File "rasa\core\featurizers\tracker_featurizers.py", line 904, in [domain.intents.index(intent) for intent in tracker_intents]

GraphComponentException: Error running graph component for node train_UnexpecTEDIntentPolicy2. (17 additional frame(s) were not displayed) ... File "rasa\model_training.py", line 170, in train return _train_graph( File "rasa\model_training.py", line 237, in _train_graph trainer.train( File "rasa\engine\training\graph_trainer.py", line 108, in train graph_runner.run(inputs=

{PLACEHOLDER_IMPORTER: importer}

) File "rasa\engine\runner\dask.py", line 106, in run dask_result = dask.get(run_graph, run_targets) File "rasa\engine\graph.py", line 468, in call raise GraphComponentException(

[iamsuperdev]

Operation defined at: (most recent call last)

File "C:\Users\Root\anaconda3\envs\rasa2\lib\runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,

File "C:\Users\Root\anaconda3\envs\rasa2\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)

File "C:\Users\Root\anaconda3\envs\rasa2\Scripts\rasa.exe_main_.py", line 7, in
sys.exit(main())

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa_main_.py", line 119, in main
cmdline_arguments.func(cmdline_arguments)

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\cli\train.py", line 59, in
train_parser.set_defaults(func=lambda args: run_training(args, can_exit=True))

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\cli\train.py", line 91, in run_training
training_result = train_all(

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\api.py", line 105, in train
return train(

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\model_training.py", line 160, in train
return _train_graph(

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\model_training.py", line 234, in _train_graph
trainer.train(

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\engine\training\graph_trainer.py", line 105, in train
graph_runner.run(inputs={PLACEHOLDER_IMPORTER: importer})

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\engine\runner\dask.py", line 101, in run
dask_result = dask.get(run_graph, run_targets)

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 553, in get_sync
return get_async(

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 495, in get_async
fire_tasks(chunksize)

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 490, in fire_tasks
fut = submit(batch_execute_tasks, each_args)

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 538, in submit
fut.set_result(fn(*args, **kwargs))

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 234, in batch_execute_tasks
return [execute_task(*a) for a in it]

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 234, in
return [execute_task(*a) for a in it]

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 220, in execute_task
result = _execute_task(task, data)

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\core.py", line 119, in _execute_task
return func(*(_execute_task(a, cache) for a in args))

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\engine\graph.py", line 464, in call
output = self._fn(self._component, **run_kwargs)

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\nlu\classifiers\diet_classifier.py", line 920, in train
self.model.fit(

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\keras\utils\traceback_utils.py", line 64, in error_handler
return fn(*args, **kwargs)

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\utils\tensorflow\temp_keras_modules.py", line 388, in fit
tmp_logs = self.train_function(iterator)

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\keras\engine\training.py", line 878, in train_function
return step_function(self, iterator)

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\keras\engine\training.py", line 867, in step_function
outputs = model.distribute_strategy.run(run_step, args=(data,))

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\keras\engine\training.py", line 860, in run_step
outputs = model.train_step(data)

File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\utils\tensorflow\models.py", line 151, in train_step
prediction_gradients = tape.gradient(prediction_loss, self.trainable_variables)

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "C:\Users\Root\anaconda3\envs\rasa2\lib\runpy.py", line 194, in _run_module_as_main
return run_code(code, main_globals, None,
File "C:\Users\Root\anaconda3\envs\rasa2\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "C:\Users\Root\anaconda3\envs\rasa2\Scripts\rasa.exe_main.py", line 7, in
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa_main.py", line 119, in main
cmdline_arguments.func(cmdline_arguments)
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\cli\train.py", line 59, in
train_parser.set_defaults(func=lambda args: run_training(args, can_exit=True))
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\cli\train.py", line 91, in run_training
training_result = train_all(
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\api.py", line 105, in train
return train(
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\model_training.py", line 160, in train
return _train_graph(
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\model_training.py", line 234, in _train_graph
trainer.train(
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\engine\training\graph_trainer.py", line 105, in train
graph_runner.run(inputs={PLACEHOLDER_IMPORTER: importer})
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\engine\runner\dask.py", line 101, in run
dask_result = dask.get(run_graph, run_targets)
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 553, in get_sync
return get_async(
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 496, in get_async
for key, res_info, failed in queue_get(queue).result():
File "C:\Users\Root\anaconda3\envs\rasa2\lib\concurrent\futures_base.py", line 437, in result
return self.__get_result()
File "C:\Users\Root\anaconda3\envs\rasa2\lib\concurrent\futures_base.py", line 389, in __get_result
raise self._exception
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 538, in submit
fut.set_result(fn(*args, **kwargs))
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 234, in batch_execute_tasks
return [execute_task(*a) for a in it]
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 234, in
return [execute_task(a) for a in it]
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 225, in execute_task
result = pack_exception(e, dumps)
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\local.py", line 220, in execute_task
result = _execute_task(task, data)
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\dask\core.py", line 119, in _execute_task
return func((_execute_task(a, cache) for a in args))
File "C:\Users\Root\anaconda3\envs\rasa2\lib\site-packages\rasa\engine\graph.py", line 471, in call
raise GraphComponentException(
rasa.engine.exceptions.GraphComponentException: Error running graph component for node train_DIETClassifier5.

[kaleaniket]

Hello,

I am getting the same error. Is there any update on how to resolve it?

[atulrajdutta]

I am getting same issue.
@sara-tagger Can you please help us?