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<class 'rasa_nlu.train.TrainingException'>: 'str' object has no attribute 'get'

See original GitHub issue

Hi, I’m running RASA NLU and CORE as separate processes: NLU = python -mrasa_nlu.server -c config_spacy.json --path models/nlu/ CORE = python run_rasa_core.py -d models/dialogue/ -u RasaNLUHttpInterpreter

I’ve populated data into a rasaui Agent. Went to the Training section and hit Start Training. this makes rasa_nlu throw an exception:

2018-04-26 23:01:45+0300 [-] 2018-04-26 23:01:45 ERROR    rasa_nlu.train - Failed to train project 'PROJECT_NAME'.
2018-04-26 23:01:45+0300 [-] Traceback (most recent call last):
2018-04-26 23:01:45+0300 [-]   File "/Users/jbar/venv/cubics-bot/lib/python3.6/site-packages/rasa_nlu/train.py", line 114, in do_train_in_worker
2018-04-26 23:01:45+0300 [-]     component_builder)
2018-04-26 23:01:45+0300 [-]   File "/Users/jbar/venv/cubics-bot/lib/python3.6/site-packages/rasa_nlu/train.py", line 136, in do_train
2018-04-26 23:01:45+0300 [-]     trainer = Trainer(cfg, component_builder)
2018-04-26 23:01:45+0300 [-]   File "/Users/jbar/venv/cubics-bot/lib/python3.6/site-packages/rasa_nlu/model.py", line 146, in __init__
2018-04-26 23:01:45+0300 [-]     components.validate_requirements(cfg.component_names)
2018-04-26 23:01:45+0300 [-]   File "/Users/jbar/venv/cubics-bot/lib/python3.6/site-packages/rasa_nlu/config.py", line 146, in component_names
2018-04-26 23:01:45+0300 [-]     return [c.get("name") for c in self.pipeline]
2018-04-26 23:01:45+0300 [-]   File "/Users/jbar/venv/cubics-bot/lib/python3.6/site-packages/rasa_nlu/config.py", line 146, in <listcomp>
2018-04-26 23:01:45+0300 [-]     return [c.get("name") for c in self.pipeline]
2018-04-26 23:01:45+0300 [-] AttributeError: 'str' object has no attribute 'get'
2018-04-26 23:01:45+0300 [-] 2018-04-26 23:01:45 WARNING  rasa_nlu.data_router - [Failure instance: Traceback (failure with no frames): <class 'rasa_nlu.train.TrainingException'>: 'str' object has no attribute 'get'
2018-04-26 23:01:45+0300 [-] ]

Rasa-NLU config:

{
  "project": "PROJECT_NAME",
  "pipeline": [
    "nlp_spacy",
    "tokenizer_spacy",
    "intent_entity_featurizer_regex",
    "intent_featurizer_spacy",
    "ner_crf",
    "ner_synonyms",
    "intent_classifier_sklearn",
    "ner_spacy"
  ],
  "path": "./models/nlu",
  "port": 5000,
  "data": "./data/PROJECT_NAME-small.json",
  "language": "en",
  "log_level": "DEBUG",
  "fixed_model_name": "MODEL_NAME_support"
}

Please advise, Yarden

Issue Analytics

State:
Created 5 years ago
Comments:9 (1 by maintainers)

Top GitHub Comments

2reactions

sandy130794commented, Dec 30, 2018

Hi, I am using RASA_NLU version: 0.14.0a1

config file:

pipeline:

name: “nlp_spacy”
name: “tokenizer_spacy”
name: “ner_duckling_http” url: “http://localhost:8000” dimensions: [“time”, “phone-number”, “url”, “email”]
name: “ner_crf”
name: “ner_synonyms”
name: “intent_featurizer_count_vectors”
name: “intent_classifier_tensorflow_embedding” intent_tokenization_flag: true intent_split_symbol: “,”

I am running RASA_NLU server: python -m rasa_nlu.server -c config/config_file.yml --path /models_storing_path/

<class ‘rasa_nlu.train.TrainingException’>: <TrainingException instance at 0x7fa6ea462ee8 with str error: 2018-12-30 10:30:07+0530 [-] Traceback (most recent call last): 2018-12-30 10:30:07+0530 [-] File “/home/anaconda3/lib/python3.6/site-packages/twisted/python/reflect.py”, line 448, in safe_str 2018-12-30 10:30:07+0530 [-] return str(o) 2018-12-30 10:30:07+0530 [-] TypeError: str returned non-string (type int) 2018-12-30 10:30:07+0530 [-] > 2018-12-30 10:30:07+0530 [-] ] 2018-12-30 10:30:07+0530 [-] Unhandled Error Traceback (most recent call last): File “/home/anaconda3/lib/python3.6/site-packages/twisted/internet/defer.py”, line 501, in errback self._startRunCallbacks(fail) File “/home/anaconda3/lib/python3.6/site-packages/twisted/internet/defer.py”, line 568, in _startRunCallbacks self._runCallbacks() File “/home/anaconda3/lib/python3.6/site-packages/twisted/internet/defer.py”, line 654, in _runCallbacks current.result = callback(current.result, *args, **kw) File “/home/anaconda3/lib/python3.6/site-packages/twisted/internet/defer.py”, line 1475, in gotResult _inlineCallbacks(r, g, status) — <exception caught here> — File “/home/anaconda3/lib/python3.6/site-packages/twisted/internet/defer.py”, line 1416, in _inlineCallbacks result = result.throwExceptionIntoGenerator(g) File “/home/anaconda3/lib/python3.6/site-packages/twisted/python/failure.py”, line 491, in throwExceptionIntoGenerator return g.throw(self.type, self.value, self.tb) File “/home/rasa_nlu/rasa_nlu/server.py”, line 360, in train returnValue(json_to_string({“error”: “{}”.format(e)})) builtins.TypeError: str returned non-string (type int)

2018-12-30 10:30:07+0530 [-] “127.0.0.1” - - [30/Dec/2018:05:00:07 +0000] “POST /train?project=tester&model=test HTTP/1.1” 500 3798 “-” “Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36” 2018-12-30 10:31:07+0530 [-] Timing out client: IPv4Address(type=‘TCP’, host=‘127.0.0.1’, port=52292)

I dont understand what is the issue “rasa_nlu.train.TrainingException” and –> File “/home/rasa_nlu/rasa_nlu/server.py”, line 360, in train returnValue(json_to_string({“error”: “{}”.format(e)})) builtins.TypeError: str returned non-string (type int)

but when I run docker server it is working and model is built. Can someone help me with this.

0reactions

TaraRavindracommented, May 6, 2019

Hi, I am using RASA_NLU version: 0.14.0a1

config file:

pipeline:

name: “nlp_spacy”

name: “tokenizer_spacy”

name: “ner_duckling_http” url: “http://localhost:8000” dimensions: [“time”, “phone-number”, “url”, “email”]

name: “ner_crf”

name: “ner_synonyms”

name: “intent_featurizer_count_vectors”

name: “intent_classifier_tensorflow_embedding” intent_tokenization_flag: true intent_split_symbol: “,”

I am running RASA_NLU server: python -m rasa_nlu.server -c config/config_file.yml --path /models_storing_path/

<class ‘rasa_nlu.train.TrainingException’>: <TrainingException instance at 0x7fa6ea462ee8 with str error: 2018-12-30 10:30:07+0530 [-] Traceback (most recent call last): 2018-12-30 10:30:07+0530 [-] File “/home/anaconda3/lib/python3.6/site-packages/twisted/python/reflect.py”, line 448, in safe_str 2018-12-30 10:30:07+0530 [-] return str(o) 2018-12-30 10:30:07+0530 [-] TypeError: str returned non-string (type int) 2018-12-30 10:30:07+0530 [-] > 2018-12-30 10:30:07+0530 [-] ] 2018-12-30 10:30:07+0530 [-] Unhandled Error Traceback (most recent call last): File “/home/anaconda3/lib/python3.6/site-packages/twisted/internet/defer.py”, line 501, in errback self._startRunCallbacks(fail) File “/home/anaconda3/lib/python3.6/site-packages/twisted/internet/defer.py”, line 568, in _startRunCallbacks self._runCallbacks() File “/home/anaconda3/lib/python3.6/site-packages/twisted/internet/defer.py”, line 654, in _runCallbacks current.result = callback(current.result, *args, **kw) File “/home/anaconda3/lib/python3.6/site-packages/twisted/internet/defer.py”, line 1475, in gotResult _inlineCallbacks(r, g, status)

File “/home/anaconda3/lib/python3.6/site-packages/twisted/internet/defer.py”, line 1416, in _inlineCallbacks result = result.throwExceptionIntoGenerator(g) File “/home/anaconda3/lib/python3.6/site-packages/twisted/python/failure.py”, line 491, in throwExceptionIntoGenerator return g.throw(self.type, self.value, self.tb) File “/home/rasa_nlu/rasa_nlu/server.py”, line 360, in train returnValue(json_to_string({“error”: “{}”.format(e)})) builtins.TypeError: str returned non-string (type int)

2018-12-30 10:30:07+0530 [-] “127.0.0.1” - - [30/Dec/2018:05:00:07 +0000] “POST /train?project=tester&model=test HTTP/1.1” 500 3798 “-” “Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36” 2018-12-30 10:31:07+0530 [-] Timing out client: IPv4Address(type=‘TCP’, host=‘127.0.0.1’, port=52292)

I dont understand what is the issue “rasa_nlu.train.TrainingException” and –> File “/home/rasa_nlu/rasa_nlu/server.py”, line 360, in train returnValue(json_to_string({“error”: “{}”.format(e)})) builtins.TypeError: str returned non-string (type int)

but when I run docker server it is working and model is built. Can someone help me with this.