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对会话软件构建框架 Rasa Core 官方教程有困难，我用心看 Justina Petraityte 的教程。你可以在 Github 上找到我按照教程重新编码的所有文件。但是，当尝试启动train_online.py文件时，真正的对话聊天机器人能够发送消息，似乎存在编码问题：

这是文件：

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals

import logging

from rasa_core.agent import Agent
from rasa_core.channels.console import ConsoleInputChannel
from rasa_core.interpreter import RegexInterpreter
from rasa_core.policies.keras_policy import KerasPolicy
from rasa_core.policies.memoization import MemoizationPolicy
from rasa_core.interpreter import RasaNLUInterpreter

logger = logging.getLogger(__name__)


def run_weather_online(input_channel, interpreter,
                          domain_file="weather_domain.yml",
                          training_data_file='data/stories.md'):
    agent = Agent(domain_file,
                  policies=[MemoizationPolicy(), KerasPolicy()],
                  interpreter=interpreter)

    agent.train_online(training_data_file,
                       input_channel=input_channel,
                       max_history=2,
                       batch_size=50,
                       epochs=200,
                       max_training_samples=300)

    return agent


if __name__ == '__main__':
    logging.basicConfig(level="INFO")
    nlu_interpreter = RasaNLUInterpreter('./models/nlu/default/weathernlu')
    run_weather_online(ConsoleInputChannel(), nlu_interpreter)

然而出现了以下错误：

(MoodbotEnv) mike@mike-thinks:~/Programing/Rasa_tutorial/moodbot4$ python train_online.py 
INFO:rasa_nlu.components:Added 'nlp_spacy' to component cache. Key 'nlp_spacy-en'.
Traceback (most recent call last):
  File "/home/mike/Programing/Rasa_tutorial/moodbot4/MoodbotEnv/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py", line 508, in _unpickle
    obj = unpickler.load()
  File "/usr/lib/python3.5/pickle.py", line 1039, in load
    dispatch[key[0]](self)
  File "/usr/lib/python3.5/pickle.py", line 1177, in load_binstring
    self.append(self._decode_string(data))
  File "/usr/lib/python3.5/pickle.py", line 1159, in _decode_string
    return value.decode(self.encoding, self.errors)
UnicodeDecodeError: 'ascii' codec can't decode byte 0x89 in position 36: ordinal not in range(128)

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

Traceback (most recent call last):
  File "train_online.py", line 37, in <module>
    nlu_interpreter = RasaNLUInterpreter('./models/nlu/default/weathernlu')
  File "/home/mike/Programing/Rasa_tutorial/moodbot4/MoodbotEnv/lib/python3.5/site-packages/rasa_core/interpreter.py", line 221, in __init__
    self._load_interpreter()
  File "/home/mike/Programing/Rasa_tutorial/moodbot4/MoodbotEnv/lib/python3.5/site-packages/rasa_core/interpreter.py", line 237, in _load_interpreter
    self.interpreter = Interpreter.load(self.model_directory)
  File "/home/mike/Programing/Rasa_tutorial/moodbot4/MoodbotEnv/lib/python3.5/site-packages/rasa_nlu/model.py", line 276, in load
    skip_validation)
  File "/home/mike/Programing/Rasa_tutorial/moodbot4/MoodbotEnv/lib/python3.5/site-packages/rasa_nlu/model.py", line 303, in create
    model_metadata, **context)
  File "/home/mike/Programing/Rasa_tutorial/moodbot4/MoodbotEnv/lib/python3.5/site-packages/rasa_nlu/components.py", line 398, in load_component
    cached_component, **context)
  File "/home/mike/Programing/Rasa_tutorial/moodbot4/MoodbotEnv/lib/python3.5/site-packages/rasa_nlu/registry.py", line 131, in load_component_by_name
    return component_clz.load(model_dir, metadata, cached_component, **kwargs)
  File "/home/mike/Programing/Rasa_tutorial/moodbot4/MoodbotEnv/lib/python3.5/site-packages/rasa_nlu/extractors/crf_entity_extractor.py", line 313, in load
    ent_tagger = joblib.load(model_file)
  File "/home/mike/Programing/Rasa_tutorial/moodbot4/MoodbotEnv/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py", line 578, in load
    obj = _unpickle(fobj, filename, mmap_mode)
  File "/home/mike/Programing/Rasa_tutorial/moodbot4/MoodbotEnv/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py", line 523, in _unpickle
    raise new_exc
ValueError: You may be trying to read with python 3 a joblib pickle generated with python 2. This feature is not supported by joblib.

我知道这意味着不完全支持跨 python 版本的兼容性，但我不明白为什么以及我能做些什么来应对它。

只是为了告诉自己，我尝试明确地使用 Python 2 启动代码：它给了我：

(MoodbotEnv) mike@mike-thinks:~/Programing/Rasa_tutorial/moodbot4$ python2 train_online.py 
Traceback (most recent call last):
  File "train_online.py", line 37, in <module>
    nlu_interpreter = RasaNLUInterpreter('./models/nlu/default/weathernlu')
  File "/home/mike/.local/lib/python2.7/site-packages/rasa_core/interpreter.py", line 219, in __init__
    self._load_interpreter()
  File "/home/mike/.local/lib/python2.7/site-packages/rasa_core/interpreter.py", line 234, in _load_interpreter
    from rasa_nlu.config import RasaNLUConfig
ImportError: cannot import name RasaNLUConfig

这是他们已经在这里处理的一个问题，但就我的 rasa-core 版本是最新版本之一而言，这是出乎意料的。

我认为问题在于 RasaNLUInterpreter 模块已在此处更改为另一个。

域文件内容：

action_factory: null
action_names:
- utter_greet
- utter_goodbye
- utter_ask_location
- action_weather
actions:
- utter_greet
- utter_goodbye
- utter_ask_location
- actions.ActionWeather
config:
  store_entities_as_slots: true
entities:
- location
intents:
- greet
- goodbye
- inform
slots:
  location:
    initial_value: null
    type: rasa_core.slots.TextSlot
templates:
  utter_ask_location:
  - text: In what location?
  utter_goodbye:
  - text: Talk to you later.
  - text: Bye bye :(
  utter_greet:
  - text: Hello! How can I help?
topics: []

Rasa 核心版本：

(MoodbotEnv) mike@mike-thinks:~/Programing/Rasa_tutorial/moodbot4$ pip list :
...
rasa-core (0.9.0a3)
rasa-nlu (0.12.3)

蟒蛇版本：

(MoodbotEnv) mike@mike-thinks:~/Programing/Rasa_tutorial/moodbot4$ python -V 
Python 3.5.2

操作系统：Linux 16.04

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1 回答 1

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我在 Windows 10 上的 python 3.5 中运行时遇到了类似的问题。对我有用的是在 python 3.7 中创建一个新的环境。

于 2018-12-19T13:13:16.387 回答