# Rasa Training falls via HTTP api, Message unclear **URL:** \ **Category:** Rasa Open Source\ **Created:** [November 13, 2020, 9:18pm UTC](https://forum.rasa.com/t/rasa-training-falls-via-http-api-message-unclear/36993 "2020-11-13T21:18:27Z")\ **Posts on this page:** 1\ **Showing post:** 1
**Author:** ![Martinbe1io](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/martinbe1io/32/11820_2.png) [@Martinbe1io](https://forum.rasa.com/u/Martinbe1io)\ **Post date:** [November 13, 2020, 9:18pm UTC](https://forum.rasa.com/t/rasa-training-falls-via-http-api-message-unclear/36993/1 "2020-11-13T21:18:28Z")
Hi, i‘m Stuck with the http api in Version 2 as the Training Starts but Aborts without a clear error Message. Direct Training with the command Line works, i filed a case at github, got a First response but since 2 weeks no Progress. Anyone here who can Help me? > > > \*\*Rasa version\*\*: > > Version: class InlineResponse200 > > { version: 1.10.3 minimum…CompatibleVersion: 1.10.0 } > > \*\*Rasa SDK version\*\* (if used & relevant): > > Generated JAVA Source with openapi spec here \[https://rasa.com/docs/rasa/spec/rasa.yml\](https://rasa.com/docs/rasa/spec/rasa.yml) > > \*\*Rasa X version\*\* (if used & relevant): n/a > > \*\*Python version\*\*: n/a - rasa helm charts for kubrerenetes > > \*\*Operating system\*\* (windows, osx, ...): n/a - rasa helm charts for kubrerenetes > > \*\*Issue\*\*: > > Connection to Api is ok, when I try to train a model I get an error without clear notice what's wrong. Setting up > > JSONTrainingRequest trainingRequest = new JSONTrainingRequest(); > trainingRequest.setNlu(cleanrasanlu); > trainingRequest.setConfig(cleanrasaconfig); > trainingRequest.setStories(cleanrasastories); > trainingRequest.setDomain(cleanrasadomain); > trainingRequest.saveToDefaultModelDirectory(true); > trainingRequest.force(false); > > ObjectMapper m = new ObjectMapper(); > log.info("start training: {}", m.writeValueAsString(trainingRequest)); > > ApiResponse\ f = trainapi.trainModelWithHttpInfo(trainingRequest,true,false); > List\ filenames = f.getHeaders().get("filename"); > log.info("trainthread {} training result={}", getName(), filenames.get(0)); > > find the values within traingRequest Structure here > > {"domain":"version: \\"2.0\\"\\n\\nintents:\\n - affirm\\n - deny\\n - greet\\n - thankyou\\n - goodbye\\n - search\_concerts\\n - search\_venues\\n - compare\_reviews\\n - bot\_challenge\\n - nlu\_fallback\\n - how\_to\_get\_started\\n\\n\\nsession\_config:\\n session\_expiration\_time: 60 # value in minutes\\n carry\_over\_slots\_to\_new\_session: true","config":"language: en\\n\\npipeline:\\n - name: \\"WhitespaceTokenizer\\"\\n - name: \\"RegexFeaturizer\\"\\n - name: \\"LexicalSyntacticFeaturizer\\"\\n - name: \\"CountVectorsFeaturizer\\"\\n - name: \\"CountVectorsFeaturizer\\"\\n analyzer: \\"char\_wb\\"\\n min\_ngram: 1\\n max\_ngram: 4\\n - name: \\"DIETClassifier\\"\\n epochs: 100\\n - name: FallbackClassifier\\n threshold: 0.4\\n ambiguity\_threshold: 0.1\\n - name: \\"EntitySynonymMapper\\"\\n\\npolicies:\\n - name: TEDPolicy\\n max\_history: 5\\n epochs: 200\\n batch\_size: 50\\n max\_training\_samples: 300\\n - name: MemoizationPolicy\\n - name: RulePolicy","nlu":"version: \\"2.0\\"\\nnlu:\\n - intent: greet\\n examples: |\\n - hi\\n - hello\\n - how are you\\n - good morning\\n - good evening\\n - hey\\n\\n - intent: goodbye\\n examples: |\\n - bye\\n - goodbye\\n - ciao\\n\\n - intent: thankyou\\n examples: |\\n - thanks\\n - thank you\\n - thanks friend\\n\\n - intent: search\_concerts\\n examples: |\\n - Find me some good concerts\\n - Show me concerts\\n - search concerts\\n\\n - intent: search\_venues\\n examples: |\\n - Find me some good venues\\n - Show me venues\\n - search venues\\n\\n - intent: compare\_reviews\\n examples: |\\n - compare reviews\\n - show me a comparison of the reviews\\n\\n - intent: how\_to\_get\_started\\n examples: |\\n - how do I get started\\n - what can I do\\n - start\\n\\n - intent: affirm\\n examples: |\\n - yes\\n - yeah\\n - yep\\n\\n - intent: deny\\n examples: |\\n - nope\\n - no\\n - absolutely not\\n ","stories":"#","force":false,"save\_to\_default\_model\_directory":true} > > \*\*Error (including full traceback)\*\*: > > \<-- HTTP/1.1 500 Internal Server Error (93ms) > Connection: keep-alive > Keep-Alive: 5 > Content-Length: 221 > Content-Type: application/json > OkHttp-Sent-Millis: 1603780528856 > OkHttp-Received-Millis: 1603780528948 > > {"version":"1.10.3","status":"failure","message":"An unexpected error occurred during training. Error: expected str, bytes or os.PathLike object, not NoneType","reason":"TrainingError","details":{},"help":null,"code":500} > \<-- END HTTP (221-byte body) > \\[2020-10-27 07:35:28,949\]\-\\[pool-22-thread-1\]\ ERROR io.be1.circular.messageprocessing.MessageProcessorRasaNLU - trainthread RASANLU exception=io.be1.circular.messageprocessing.rasaclient.ApiException: Internal Server Error stack=io.be1.circular.messageprocessing.rasaclient.ApiException: Internal Server Error > at io.be1.circular.my-app//io.be1.circular.messageprocessing.rasaclient.ApiClient.handleResponse(ApiClient.java:925) > at io.be1.circular.my-app//io.be1.circular.messageprocessing.rasaclient.ApiClient.execute(ApiClient.java:841) > at io.be1.circular.my-app//io.be1.circular.messageprocessing.rasaclient.api.ModelApi.trainModelWithHttpInfo(ModelApi.java:938) > at io.be1.circular.my-app//io.be1.circular.messageprocessing.MessageProcessorRasaNLU.lambda$starttrainthread$0(MessageProcessorRasaNLU.java:320) > at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515) > at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264) > at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1130) > at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:630) > at java.base/java.lang.Thread.run(Thread.java:832) > > \\[2020-10-27 07:35:28,949\]\-\\[pool-22-thread-1\]\ INFO io.be1.circular.messageprocessing.MessageProcessorRasaNLU - trainthread RASANLU stoped thread: pool-22-thread-1 duration=0sec > \<-- HTTP/1.1 200 OK (42ms) > > \*\*Command or request that led to error\*\*: > > --\> POST \[http://rasa-x-1603718536-rasa-production.rasa.svc.cluster.local:5005/model/train?save\_to\_default\_model\_directory=true&force\_training=false&token=rasaToken\](http://rasa-x-1603718536-rasa-production.rasa.svc.cluster.local:5005/model/train?save\_to\_default\_model\_directory=true&force\_training=false&token=rasaToken) HTTP/1.1 > Content-Type: application/json; charset=utf-8 > Content-Length: 2046 > Accept: application/json > User-Agent: Swagger-Codegen/1.0.0/java > > {"domain":"version: \\"2.0\\"\\n\\nintents:\\n - affirm\\n - deny\\n - greet\\n - thankyou\\n - goodbye\\n - search\_concerts\\n - search\_venues\\n - compare\_reviews\\n - bot\_challenge\\n - nlu\_fallback\\n - how\_to\_get\_started\\n\\n\\nsession\_config:\\n session\_expiration\_time: 60 # value in minutes\\n carry\_over\_slots\_to\_new\_session: true","config":"language: en\\n\\npipeline:\\n - name: \\"WhitespaceTokenizer\\"\\n - name: \\"RegexFeaturizer\\"\\n - name: \\"LexicalSyntacticFeaturizer\\"\\n - name: \\"CountVectorsFeaturizer\\"\\n - name: \\"CountVectorsFeaturizer\\"\\n analyzer: \\"char\_wb\\"\\n min\_ngram: 1\\n max\_ngram: 4\\n - name: \\"DIETClassifier\\"\\n epochs: 100\\n - name: FallbackClassifier\\n threshold: 0.4\\n ambiguity\_threshold: 0.1\\n - name: \\"EntitySynonymMapper\\"\\n\\npolicies:\\n - name: TEDPolicy\\n max\_history: 5\\n epochs: 200\\n batch\_size: 50\\n max\_training\_samples: 300\\n - name: MemoizationPolicy\\n - name: RulePolicy","nlu":"version: \\"2.0\\"\\nnlu:\\n - intent: greet\\n examples: |\\n - hi\\n - hello\\n - how are you\\n - good morning\\n - good evening\\n - hey\\n\\n - intent: goodbye\\n examples: |\\n - bye\\n - goodbye\\n - ciao\\n\\n - intent: thankyou\\n examples: |\\n - thanks\\n - thank you\\n - thanks friend\\n\\n - intent: search\_concerts\\n examples: |\\n - Find me some good concerts\\n - Show me concerts\\n - search concerts\\n\\n - intent: search\_venues\\n examples: |\\n - Find me some good venues\\n - Show me venues\\n - search venues\\n\\n - intent: compare\_reviews\\n examples: |\\n - compare reviews\\n - show me a comparison of the reviews\\n\\n - intent: how\_to\_get\_started\\n examples: |\\n - how do I get started\\n - what can I do\\n - start\\n\\n - intent: affirm\\n examples: |\\n - yes\\n - yeah\\n - yep\\n\\n - intent: deny\\n examples: |\\n - nope\\n - no\\n - absolutely not\\n ","stories":"#","force":false,"save\_to\_default\_model\_directory":true} > > --\> END POST (2046-byte body) > \<-- HTTP/1.1 200 OK (19ms) > > \*\*Content of configuration file (config.yml)\*\* (if relevant): > > \language: en > > pipeline: > > \* name: "WhitespaceTokenizer" > \* name: "RegexFeaturizer" > \* name: "LexicalSyntacticFeaturizer" > \* name: "CountVectorsFeaturizer" > \* name: "CountVectorsFeaturizer" > analyzer: "char\_wb" > min\_ngram: 1 > max\_ngram: 4 > \* name: "DIETClassifier" > epochs: 100 > \* name: FallbackClassifier > threshold: 0.4 > ambiguity\_threshold: 0.1 > \* name: "EntitySynonymMapper" > > policies: > > \* name: TEDPolicy > max\_history: 5 > epochs: 200 > batch\_size: 50 > max\_training\_samples: 300 > \* name: MemoizationPolicy > \* name: RulePolicy\ > > \*\*Content of domain file (domain.yml)\*\* (if relevant): > > \version: "2.0" > > intents: > > \* affirm > \* deny > \* greet > \* thankyou > \* goodbye > \* search\_concerts > \* search\_venues > \* compare\_reviews > \* bot\_challenge > \* nlu\_fallback > \* how\_to\_get\_started > > session\_config: > session\_expiration\_time: 60 # value in minutes > carry\_over\_slots\_to\_new\_session: true\ Thx Martin --- _[View the full topic](https://forum.rasa.com/t/rasa-training-falls-via-http-api-message-unclear/36993)._