# Rasa2.0.0rc2 - No configuration file was provided to the TrainingDataImporter
**URL:** https://forum.rasa.com/t/rasa2-0-0rc2-no-configuration-file-was-provided-to-the-trainingdataimporter/35381
**Category:** Rasa Open Source
**Created:** [October 1, 2020, 4:58pm UTC](https://forum.rasa.com/t/rasa2-0-0rc2-no-configuration-file-was-provided-to-the-trainingdataimporter/35381 "2020-10-01T16:58:28Z")
**Posts on this page:** 3
**Page:** 1
### Author:  [@aryatejas2](https://forum.rasa.com/u/aryatejas2)
#### Post date: [October 1, 2020, 4:58pm UTC](https://forum.rasa.com/t/rasa2-0-0rc2-no-configuration-file-was-provided-to-the-trainingdataimporter/35381/1 "2020-10-01T16:58:28Z")
Hello!
I am creating a chatbot with rasa 2.0.0rc2 with my own data.
The data was originally in markdown format, which I converted to .yml format using “rasa data convert” command and manually, both.
I figured the ConveRTTokenizer was discontinued so I used WhitespaceTokenizer in config.yml.
On training the bot with my own data on I get a warning:
> You either need to add a response phrase or correct the intent for this example in your training data. If you intend to use Response Selector in the pipeline, the training may fail.
Nevertheless, the NLU and Core trains and the models are saved.
I started rasa shell to have a conversation with the chatbot. On sending a message to the chatbot I get the following error:
> ```
> ERROR** asyncio - Task exception was never retrieved
>
> future: exception=IndexError('list index out of range')>
>
> ```
The traceback is:
> File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/core/channels/rest.py”, line 47, in on\_message\_wrapper await on\_new\_message(message) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/core/channels/channel.py”, line 84, in handler await app.agent.handle\_message(\*args, \*\*kwargs) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/core/agent.py”, line 518, in handle\_message return await processor.handle\_message(message) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/core/processor.py”, line 83, in handle\_message tracker = await self.log\_message(message, should\_save\_tracker=False) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/core/processor.py”, line 236, in log\_message await self.\_handle\_message\_with\_tracker(message, tracker) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/core/processor.py”, line 499, in \_handle\_message\_with\_tracker parse\_data = await self.parse\_message(message, tracker) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/core/processor.py”, line 478, in parse\_message text, message.message\_id, tracker, metadata=message.metadata File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/core/interpreter.py”, line 145, in parse result = self.interpreter.parse(text) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/nlu/model.py”, line 400, in parse component.process(message, \*\*self.context) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/nlu/selectors/response\_selector.py”, line 382, in process self.\_resolve\_intent\_response\_key(top\_label) or top\_label[INTENT\_NAME\_KEY] File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/nlu/selectors/response\_selector.py”, line 363, in \_resolve\_intent\_response\_key search\_key = util.template\_key\_to\_intent\_response\_key(key) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/shared/nlu/training\_data/util.py”, line 145, in template\_key\_to\_intent\_response\_key print(“HERE=======\>”, template\_key.split(UTTER\_PREFIX)[1]) IndexError: list index out of range
Then I went on to test the rasa components using the command “rasa test nlu/core”. The results are as follows:
- rasa test nlu gives error. The traceback is: File “/Users/nutxa36/.pyenv/versions/rasa2.0.0rc2/bin/rasa”, line 8, in sys.exit(main()) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/ **main**.py”, line 113, in main cmdline\_arguments.func(cmdline\_arguments) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/cli/test.py”, line 159, in run\_nlu\_test test\_nlu(model\_path, nlu\_data, output, vars(args)) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/test.py”, line 183, in test\_nlu run\_evaluation(nlu\_data, nlu\_model, output\_directory=output\_directory, \*\*kwargs) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/nlu/test.py”, line 1489, in run\_evaluation interpreter, test\_data File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/nlu/test.py”, line 1310, in get\_eval\_data result = interpreter.parse(example.get(TEXT), only\_output\_properties=False) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/nlu/model.py”, line 400, in parse component.process(message, \*\*self.context) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/nlu/selectors/response\_selector.py”, line 382, in process self.\_resolve\_intent\_response\_key(top\_label) or top\_label[INTENT\_NAME\_KEY] File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/nlu/selectors/response\_selector.py”, line 363, in \_resolve\_intent\_response\_key search\_key = util.template\_key\_to\_intent\_response\_key(key) File “/Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/shared/nlu/training\_data/util.py”, line 145, in template\_key\_to\_intent\_response\_key print(“HERE=======\>”, template\_key.split(UTTER\_PREFIX)[1]) IndexError: list index out of range
- rasa test core runs successfully
I then went on to validate my data with the command "rasa data validate -vv. The debugging log is as follows:
> 2020-10-01 12:51:24 **DEBUG** rasa.shared.nlu.training\_data.loading - Training data format of ‘data/nlu.yml’ is ‘rasa\_yml’.
>
> 2020-10-01 12:51:24 **DEBUG** rasa.shared.nlu.training\_data.loading - Training data format of ‘data/responses.yml’ is ‘rasa\_yml’.
>
> 2020-10-01 12:51:24 **DEBUG** rasa.shared.nlu.training\_data.loading - Training data format of ‘data/rules.yml’ is ‘unk’.
>
> 2020-10-01 12:51:24 **DEBUG** rasa.shared.nlu.training\_data.loading - Training data format of ‘data/stories.yml’ is ‘unk’.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.importers.autoconfig - No configuration file was provided to the TrainingDataImporter.
>
> 2020-10-01 12:51:25 **DEBUG** pykwalify.compat - Using yaml library: /Users/nutxa36/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/ruamel/yaml/ **init**.py
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.nlu.training\_data.loading - Training data format of ‘data/nlu.yml’ is ‘rasa\_yml’.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.nlu.training\_data.loading - Training data format of ‘data/responses.yml’ is ‘rasa\_yml’.
>
> 2020-10-01 12:51:25 **INFO** rasa.validator - Validating intents…
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘back’ is listed in the domain file, but is not found in the NLU training data.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘more\_questions’ is listed in the domain file, but is not found in the NLU training data.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘next\_question’ is listed in the domain file, but is not found in the NLU training data.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘nlu\_fallback’ is listed in the domain file, but is not found in the NLU training data.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘no\_more\_questions’ is listed in the domain file, but is not found in the NLU training data.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘out\_of\_scope’ is listed in the domain file, but is not found in the NLU training data.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘restart’ is listed in the domain file, but is not found in the NLU training data.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘session\_start’ is listed in the domain file, but is not found in the NLU training data.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘welcome’ is listed in the domain file, but is not found in the NLU training data.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘affirm’ is not used in any story.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘back’ is not used in any story.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘deny’ is not used in any story.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘nlu\_fallback’ is not used in any story.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘out\_of\_scope’ is not used in any story.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘restart’ is not used in any story.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘session\_start’ is not used in any story.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The intent ‘welcome’ is not used in any story.
>
> 2020-10-01 12:51:25 **INFO** rasa.validator - Validating uniqueness of intents and stories…
>
> 2020-10-01 12:51:25 **INFO** rasa.validator - Validating utterances…
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The utterance ‘utter\_cheer\_up’ is not used in any story.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The utterance ‘utter\_default’ is not used in any story.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The utterance ‘utter\_happy’ is not used in any story.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.validator - The utterance ‘utter\_did\_that\_help’ is not used in any story.
>
> 2020-10-01 12:51:25 **INFO** rasa.validator - Story structure validation…
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.core.generator - Number of augmentation rounds is 0
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.core.generator - Starting data generation round 0 … (with 1 trackers)
>
> Processed story blocks: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00\<00:00, 2761.05it/s, # trackers=1]
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.core.generator - Finished phase (10 training samples found).
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.core.generator - Data generation rounds finished.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.core.generator - Found 0 unused checkpoints
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.core.generator - Found 10 training trackers.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.core.generator - Starting data generation round 0 … (with 1 trackers)
>
> Processed rules: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00\<00:00, 2923.88it/s, # trackers=1]
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.core.generator - Finished phase (2 training samples found).
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.core.generator - Data generation rounds finished.
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.core.generator - Found 0 unused checkpoints
>
> 2020-10-01 12:51:25 **DEBUG** rasa.shared.core.generator - Found 2 training trackers.
>
> 2020-10-01 12:51:25 **INFO** rasa.core.training.story\_conflict - Considering the preceding 7 turns for conflict analysis.
>
> 2020-10-01 12:51:25 **INFO** rasa.validator - No story structure conflicts found.
>
> 2020-10-01 12:51:25 **DEBUG** urllib3.connectionpool - Starting new HTTPS connection (1): [api.segment.io:443](http://api.segment.io:443)
>
> 2020-10-01 12:51:26 **DEBUG** urllib3.connectionpool - [https://api.segment.io:443](https://api.segment.io:443) “POST /v1/track HTTP/1.1” 200 21
From this, I figure out that TrainingDataImporter is not getting the config.yml. I did some digging in the rasa code and my observations are:
- In /Users/username/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/shared/importers/autoconfig.py,
get\_configuration(
```
config_file_path: Text, training_type: Optional[TrainingType] = TrainingType.BOTH
```
) → Dict[Text, Any] method should be getting config\_file\_path, which is basically our config.yml. It is not getting the path.
- In /Users/username/.pyenv/versions/3.7.8/envs/rasa2.0.0rc2/lib/python3.7/site-packages/rasa/shared/importers/importer.py, class TrainingDataImporter has following methods which are not yet implemented:
I believe the methods not yet implemented might be the cause or incorrect method call somewhere in the package leads to TrainingDataImporter not getting the config.yml
I would be grateful if someone could share your thoughts with me regarding this matter. Thanks in advance!
---
### Author:  [@amn41](https://forum.rasa.com/u/amn41)
#### Post date: [October 3, 2020, 1:12pm UTC](https://forum.rasa.com/t/rasa2-0-0rc2-no-configuration-file-was-provided-to-the-trainingdataimporter/35381/2 "2020-10-03T13:12:59Z")
hi @aryatejas2 - it looks like your training data isn’t formatted correctly, and it’s throwing an error and therefore not reading the config. Were you able to resolve this? We should make Rasa throw a more informative error (something we’re planning for the 2.0 release)
---
### Author:  [@aryatejas2](https://forum.rasa.com/u/aryatejas2)
#### Post date: [October 9, 2020, 7:18pm UTC](https://forum.rasa.com/t/rasa2-0-0rc2-no-configuration-file-was-provided-to-the-trainingdataimporter/35381/3 "2020-10-09T19:18:08Z")
Hello @amn41,
Thanks for your response. This resolved the mentioned issue!