我正在尝试使用 httpapi 和 json 数据来训练模型,这就是代码。
import requests
import json
data = {
"config": "language: en\npipeline:\n- name: WhitespaceTokenizer\n- name: RegexFeaturizer\n- name: LexicalSyntacticFeaturizer\n- name: CountVectorsFeaturizer\n- name: CountVectorsFeaturizer\nanalyzer: \"char_wb\"\nmin_ngram: 1\nmax_ngram: 4\n- name: DIETClassifier\nepochs: 100\n- name: EntitySynonymMapper\n- name: ResponseSelector\nepochs: 100",
"nlu": json.dumps({
"rasa_nlu_data": {
"regex_features": [],
"entity_synonyms": [],
"common_examples": [
{
"text": "i m looking for a place to eat",
"intent": "restaurant_search",
"entities": []
},
{
"text": "I want to grab lunch",
"intent": "restaurant_search",
"entities": []
},
{
"text": "I am searching for a dinner spot",
"intent": "restaurant_search",
"entities": []
},
]
}
}),
"force": False,
"save_to_default_model_directory": True
}
r = requests.post('http://localhost:5005/model/train', json=data)
它给了我 500 错误。以下是错误日志:
2020-09-30 07:40:37,511 [DEBUG] Traceback (most recent call last):
File "/home/Documents/practice/rasa/test1/venv/lib/python3.6/site-packages/rasa/server.py", line 810, in train
None, functools.partial(train_model, **info)
File "/usr/lib/python3.6/concurrent/futures/thread.py", line 56, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/Documents/practice/rasa/test1/venv/lib/python3.6/site-packages/rasa/train.py", line 50, in train
additional_arguments=additional_arguments,
File "uvloop/loop.pyx", line 1456, in uvloop.loop.Loop.run_until_complete
File "/home/Documents/practice/rasa/test1/venv/lib/python3.6/site-packages/rasa/train.py", line 83, in train_async
config, domain, training_files
File "/home/Documents/practice/rasa/test1/venv/lib/python3.6/site-packages/rasa/importers/importer.py", line 79, in load_from_config
config = io_utils.read_config_file(config_path)
File "/home/Documents/practice/rasa/test1/venv/lib/python3.6/site-packages/rasa/utils/io.py", line 188, in read_config_file
content = read_yaml(read_file(filename))
File "/home/Documents/practice/rasa/test1/venv/lib/python3.6/site-packages/rasa/utils/io.py", line 124, in read_yaml
return yaml_parser.load(content) or {}
File "/home/Documents/practice/rasa/test1/venv/lib/python3.6/site-packages/ruamel/yaml/main.py", line 343, in load
return constructor.get_single_data()
File "/home/Documents/practice/rasa/test1/venv/lib/python3.6/site-packages/ruamel/yaml/constructor.py", line 111, in get_single_data
node = self.composer.get_single_node()
File "_ruamel_yaml.pyx", line 706, in _ruamel_yaml.CParser.get_single_node
File "_ruamel_yaml.pyx", line 724, in _ruamel_yaml.CParser._compose_document
File "_ruamel_yaml.pyx", line 775, in _ruamel_yaml.CParser._compose_node
File "_ruamel_yaml.pyx", line 891, in _ruamel_yaml.CParser._compose_mapping_node
File "_ruamel_yaml.pyx", line 904, in _ruamel_yaml.CParser._parse_next_event
ruamel.yaml.parser.ParserError: while parsing a block mapping
in "<unicode string>", line 1, column 1
did not find expected key
in "<unicode string>", line 11, column 1
当我使用终端命令和 json 文件训练模型时,它训练成功。我想我缺少/model/train api 所需的一些格式。有人可以告诉我我哪里出错了吗?
我正在使用 rasa 版本 1.10.14。
先感谢您。