Issues of Rasa Init

Rasa Open Source
1

Hi, When I ran the following command in virtual environment: rasa init --no-prompt I got the following exception:

Welcome to Rasa! 🤖

To get started quickly, an initial project will be created.
If you need some help, check out the documentation at https://rasa.com/docs/rasa.

Created project directory at '/home/wilson'.
Finished creating project structure.
Training an initial model...
Training Core model...
Traceback (most recent call last):
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/registry.py", line 21, in policy_from_module_path
    module_path, lookup_path="rasa.core.policies.registry"
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/utils/common.py", line 184, in class_from_module_path
    m = importlib.import_module(lookup_path)
  File "/usr/lib/python3.6/importlib/__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 994, in _gcd_import
  File "<frozen importlib._bootstrap>", line 971, in _find_and_load
  File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 665, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 678, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/policies/registry.py", line 5, in <module>
    from rasa.core.policies.embedding_policy import EmbeddingPolicy
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/policies/embedding_policy.py", line 24, in <module>
    from rasa.utils import train_utils
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/utils/train_utils.py", line 9, in <module>
    from tensor2tensor.models.transformer import (
  File "/home/wilson/venv/lib/python3.6/site-packages/tensor2tensor/models/__init__.py", line 36, in <module>
    from tensor2tensor.models import mtf_transformer2
  File "/home/wilson/venv/lib/python3.6/site-packages/tensor2tensor/models/mtf_transformer2.py", line 23, in <module>
    from mesh_tensorflow.transformer import moe
  File "/home/wilson/venv/lib/python3.6/site-packages/mesh_tensorflow/transformer/__init__.py", line 23, in <module>
    import mesh_tensorflow.transformer.dataset
  File "/home/wilson/venv/lib/python3.6/site-packages/mesh_tensorflow/transformer/dataset.py", line 94, in <module>
    import tensorflow_datasets as tfds
  File "/home/wilson/venv/lib/python3.6/site-packages/tensorflow_datasets/__init__.py", line 46, in <module>
    from tensorflow_datasets.core import tf_compat
  File "/home/wilson/venv/lib/python3.6/site-packages/tensorflow_datasets/core/__init__.py", line 25, in <module>
    from tensorflow_datasets.core.dataset_builder import BeamBasedBuilder
  File "/home/wilson/venv/lib/python3.6/site-packages/tensorflow_datasets/core/dataset_builder.py", line 35, in <module>
    from tensorflow_datasets.core import download
  File "/home/wilson/venv/lib/python3.6/site-packages/tensorflow_datasets/core/download/__init__.py", line 19, in <module>
    from tensorflow_datasets.core.download.download_manager import DownloadConfig
  File "/home/wilson/venv/lib/python3.6/site-packages/tensorflow_datasets/core/download/download_manager.py", line 34, in <module>
    from tensorflow_datasets.core.download import downloader
  File "/home/wilson/venv/lib/python3.6/site-packages/tensorflow_datasets/core/download/downloader.py", line 33, in <module>
    from requests.utils import extract_zipped_paths
ImportError: cannot import name 'extract_zipped_paths'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/policies/ensemble.py", line 320, in from_dict
    constr_func = registry.policy_from_module_path(policy_name)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/registry.py", line 24, in policy_from_module_path
    raise ImportError("Cannot retrieve policy from path '{}'".format(module_path))
ImportError: Cannot retrieve policy from path 'MemoizationPolicy'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/wilson/venv/bin/rasa", line 11, in <module>
    sys.exit(main())
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/__main__.py", line 76, in main
    cmdline_arguments.func(cmdline_arguments)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/cli/scaffold.py", line 195, in run
    init_project(args, path)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/cli/scaffold.py", line 113, in init_project
    print_train_or_instructions(args, path)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/cli/scaffold.py", line 50, in print_train_or_instructions
    args.model = rasa.train(domain, config, training_files, output)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/train.py", line 40, in train
    kwargs=kwargs,
  File "uvloop/loop.pyx", line 1417, in uvloop.loop.Loop.run_until_complete
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/train.py", line 91, in train_async
    kwargs,
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/train.py", line 175, in _train_async_internal
    kwargs=kwargs,
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/train.py", line 210, in _do_training
    kwargs=kwargs,
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/train.py", line 339, in _train_core_with_validated_data
    kwargs=kwargs,
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/train.py", line 42, in train
    policies = config.load(policy_config)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/config.py", line 28, in load
    return PolicyEnsemble.from_dict(config_data)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/policies/ensemble.py", line 328, in from_dict
    "".format(policy_name)
rasa.core.policies.ensemble.InvalidPolicyConfig: Module for policy 'MemoizationPolicy' could not be loaded. Please make sure the name is a valid policy.
Error in sys.excepthook:
Traceback (most recent call last):
  File "/usr/lib/python3/dist-packages/apport_python_hook.py", line 63, in apport_excepthook
    from apport.fileutils import likely_packaged, get_recent_crashes
  File "/usr/lib/python3/dist-packages/apport/__init__.py", line 5, in <module>
    from apport.report import Report
  File "/usr/lib/python3/dist-packages/apport/report.py", line 30, in <module>
    import apport.fileutils
  File "/usr/lib/python3/dist-packages/apport/fileutils.py", line 23, in <module>
    from apport.packaging_impl import impl as packaging
  File "/usr/lib/python3/dist-packages/apport/packaging_impl.py", line 23, in <module>
    import apt
  File "/usr/lib/python3/dist-packages/apt/__init__.py", line 23, in <module>
    import apt_pkg
ModuleNotFoundError: No module named 'apt_pkg'

Original exception was:
Traceback (most recent call last):
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/registry.py", line 21, in policy_from_module_path
    module_path, lookup_path="rasa.core.policies.registry"
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/utils/common.py", line 184, in class_from_module_path
    m = importlib.import_module(lookup_path)
  File "/usr/lib/python3.6/importlib/__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 994, in _gcd_import
  File "<frozen importlib._bootstrap>", line 971, in _find_and_load
  File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 665, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 678, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/policies/registry.py", line 5, in <module>
    from rasa.core.policies.embedding_policy import EmbeddingPolicy
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/policies/embedding_policy.py", line 24, in <module>
    from rasa.utils import train_utils
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/utils/train_utils.py", line 9, in <module>
    from tensor2tensor.models.transformer import (
  File "/home/wilson/venv/lib/python3.6/site-packages/tensor2tensor/models/__init__.py", line 36, in <module>
    from tensor2tensor.models import mtf_transformer2
  File "/home/wilson/venv/lib/python3.6/site-packages/tensor2tensor/models/mtf_transformer2.py", line 23, in <module>
    from mesh_tensorflow.transformer import moe
  File "/home/wilson/venv/lib/python3.6/site-packages/mesh_tensorflow/transformer/__init__.py", line 23, in <module>
    import mesh_tensorflow.transformer.dataset
  File "/home/wilson/venv/lib/python3.6/site-packages/mesh_tensorflow/transformer/dataset.py", line 94, in <module>
    import tensorflow_datasets as tfds
  File "/home/wilson/venv/lib/python3.6/site-packages/tensorflow_datasets/__init__.py", line 46, in <module>
    from tensorflow_datasets.core import tf_compat
  File "/home/wilson/venv/lib/python3.6/site-packages/tensorflow_datasets/core/__init__.py", line 25, in <module>
    from tensorflow_datasets.core.dataset_builder import BeamBasedBuilder
  File "/home/wilson/venv/lib/python3.6/site-packages/tensorflow_datasets/core/dataset_builder.py", line 35, in <module>
    from tensorflow_datasets.core import download
  File "/home/wilson/venv/lib/python3.6/site-packages/tensorflow_datasets/core/download/__init__.py", line 19, in <module>
    from tensorflow_datasets.core.download.download_manager import DownloadConfig
  File "/home/wilson/venv/lib/python3.6/site-packages/tensorflow_datasets/core/download/download_manager.py", line 34, in <module>
    from tensorflow_datasets.core.download import downloader
  File "/home/wilson/venv/lib/python3.6/site-packages/tensorflow_datasets/core/download/downloader.py", line 33, in <module>
    from requests.utils import extract_zipped_paths
ImportError: cannot import name 'extract_zipped_paths'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/policies/ensemble.py", line 320, in from_dict
    constr_func = registry.policy_from_module_path(policy_name)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/registry.py", line 24, in policy_from_module_path
    raise ImportError("Cannot retrieve policy from path '{}'".format(module_path))
ImportError: Cannot retrieve policy from path 'MemoizationPolicy'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/wilson/venv/bin/rasa", line 11, in <module>
    sys.exit(main())
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/__main__.py", line 76, in main
    cmdline_arguments.func(cmdline_arguments)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/cli/scaffold.py", line 195, in run
    init_project(args, path)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/cli/scaffold.py", line 113, in init_project
    print_train_or_instructions(args, path)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/cli/scaffold.py", line 50, in print_train_or_instructions
    args.model = rasa.train(domain, config, training_files, output)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/train.py", line 40, in train
    kwargs=kwargs,
  File "uvloop/loop.pyx", line 1417, in uvloop.loop.Loop.run_until_complete
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/train.py", line 91, in train_async
    kwargs,
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/train.py", line 175, in _train_async_internal
    kwargs=kwargs,
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/train.py", line 210, in _do_training
    kwargs=kwargs,
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/train.py", line 339, in _train_core_with_validated_data
    kwargs=kwargs,
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/train.py", line 42, in train
    policies = config.load(policy_config)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/config.py", line 28, in load
    return PolicyEnsemble.from_dict(config_data)
  File "/home/wilson/venv/lib/python3.6/site-packages/rasa/core/policies/ensemble.py", line 328, in from_dict
    "".format(policy_name)
rasa.core.policies.ensemble.InvalidPolicyConfig: Module for policy 'MemoizationPolicy' could not be loaded. Please make sure the name is a valid policy.
(venv) wilson@wilson-VirtualBox:~$

Moreover, my rasa version is:

(venv) wilson@wilson-VirtualBox:~$ pip show rasa
---
Metadata-Version: 2.1
Name: rasa
Version: 1.3.9
Summary: Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Home-page: https://rasa.com
Author: Rasa Technologies GmbH
Author-email: hi@rasa.com
Installer: pip
License: Apache 2.0
Location: /home/wilson/venv/lib/python3.6/site-packages
Requires: colorhash, tensorflow-probability, kafka-python, python-telegram-bot, numpy, coloredlogs, mattermostwrapper, python-engineio, gast, tensorflow, webexteamssdk, attrs, tqdm, redis, simplejson, setuptools, pykwalify, packaging, pytz, scipy, networkx, pika, aiohttp, ruamel.yaml, pydot, SQLAlchemy, requests, sklearn-crfsuite, python-dateutil, jsonpickle, matplotlib, jsonschema, twilio, terminaltables, sanic, questionary, PyJWT, tensor2tensor, apscheduler, gevent, rasa-sdk, sanic-jwt, scikit-learn, slackclient, rocketchat-API, fbmessenger, boto3, colorclass, async-generator, sanic-cors, pymongo, absl-py, scikit-learn, python-socketio
Classifiers:
  Development Status :: 4 - Beta
  Intended Audience :: Developers
  License :: OSI Approved :: Apache Software License
  Programming Language :: Python
  Programming Language :: Python :: 3.5
  Programming Language :: Python :: 3.6
  Programming Language :: Python :: 3.7
  Topic :: Software Development :: Libraries
Entry-points:
  [console_scripts]
  rasa = rasa.__main__:main
You are using pip version 8.1.1, however version 19.3.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
(venv) wilson@wilson-VirtualBox:~$

Please advise. Thanks.

Regards, Wilson

2

Hi @wilson, I guess it is related to ImportError: cannot import name 'extract_zipped_paths'. I installed rasa 1.3.9 myself and run rasa init --no-prompt and everything was working as expected.

Is your request package up-to-date? Can you maybe try to remove it and install it again?

3

Hi Tanja,

I am new to Rasa and Python. Please let me know how to update the request package. Thanks.

Regards, Wilson

4

Execute the following in your virtualenv.

pip uninstall requests
pip install requests
5

Hi Tanja,

Thank for your info. After upgrading requests, I still stuck in rasa init command.
Details:

(venv) wilson@wilson-VirtualBox:~$  pip uninstall requests
Not uninstalling requests at /usr/lib/python3/dist-packages, outside environment /home/wilson/venv
Can't uninstall 'requests'. No files were found to uninstall.
(venv) wilson@wilson-VirtualBox:~$  pip install requests
Requirement already satisfied: requests in /usr/lib/python3/dist-packages (2.9.1)
(venv) wilson@wilson-VirtualBox:~$ rasa init --no-prompt
File "/home/wilson/venv/lib/python3.6/site-packages/requests_async/sessions.py", line 13, in <module>
    from requests.utils import requote_uri, rewind_body
ImportError: cannot import name 'rewind_body'

I am using Ubuntu 16. Please help.

Regards, Wilson

6

Did you try removing your virtualenv and to

  1. create a new virtualenv based on python3.6, e.g. virtualenv -p python3.6 rasaenv if you are using virtualenv
  2. activate virtualenv
  3. install rasa via pip3 install rasa-x --extra-index-url https://pypi.rasa.com/simple

Sometimes it helps to create a new virtualenv to avoid conflicting versions. Does it help?

7

Hi Tanja,

I have a similar problem with the policies (and other errors). I made the three steps you wrote here and I found no issues. When I tried again to run rasa init --no-prompt, it comes out this:

(...)
Created project directory at '/home/somedirectory'.
Finished creating project structure.
Training an initial model...
Training Core model...
Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/rasa/core/registry.py", line 21, in policy_from_module_path
    module_path, lookup_path="rasa.core.policies.registry"
  File "/usr/local/lib/python3.6/dist-packages/rasa/utils/common.py", line 184, in class_from_module_path
    m = importlib.import_module(lookup_path)
  File "/usr/lib/python3.6/importlib/__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 994, in _gcd_import
  File "<frozen importlib._bootstrap>", line 971, in _find_and_load
  File "<frozen importlib._bootstrap>", line 955, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 665, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 678, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "/usr/local/lib/python3.6/dist-packages/rasa/core/policies/registry.py", line 5, in <module>
    from rasa.core.policies.embedding_policy import EmbeddingPolicy
  File "/usr/local/lib/python3.6/dist-packages/rasa/core/policies/embedding_policy.py", line 24, in <module>
    from rasa.utils import train_utils
  File "/usr/local/lib/python3.6/dist-packages/rasa/utils/train_utils.py", line 9, in <module>
    from tensor2tensor.models.transformer import (
  File "/usr/local/lib/python3.6/dist-packages/tensor2tensor/models/__init__.py", line 61, in <module>
    from tensor2tensor.models.research import rl
  File "/usr/local/lib/python3.6/dist-packages/tensor2tensor/models/research/rl.py", line 24, in <module>
    from tensor2tensor.data_generators import gym_env
  File "/usr/local/lib/python3.6/dist-packages/tensor2tensor/data_generators/gym_env.py", line 33, in <module>
    from tensor2tensor.rl import gym_utils
  File "/usr/local/lib/python3.6/dist-packages/tensor2tensor/rl/gym_utils.py", line 26, in <module>
    from PIL import Image
  File "/usr/lib/python3/dist-packages/PIL/Image.py", line 66, in <module>
    from PIL import _imaging as core
ImportError: cannot import name '_imaging'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/rasa/core/policies/ensemble.py", line 320, in from_dict
    constr_func = registry.policy_from_module_path(policy_name)
  File "/usr/local/lib/python3.6/dist-packages/rasa/core/registry.py", line 24, in policy_from_module_path
    raise ImportError("Cannot retrieve policy from path '{}'".format(module_path))
ImportError: Cannot retrieve policy from path 'MemoizationPolicy'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/bin/rasa", line 8, in <module>
    sys.exit(main())
  File "/usr/local/lib/python3.6/dist-packages/rasa/__main__.py", line 76, in main
    cmdline_arguments.func(cmdline_arguments)
  File "/usr/local/lib/python3.6/dist-packages/rasa/cli/scaffold.py", line 195, in run
    init_project(args, path)
  File "/usr/local/lib/python3.6/dist-packages/rasa/cli/scaffold.py", line 113, in init_project
    print_train_or_instructions(args, path)
  File "/usr/local/lib/python3.6/dist-packages/rasa/cli/scaffold.py", line 50, in print_train_or_instructions
    args.model = rasa.train(domain, config, training_files, output)
  File "/usr/local/lib/python3.6/dist-packages/rasa/train.py", line 45, in train
    kwargs=kwargs,
  File "uvloop/loop.pyx", line 1417, in uvloop.loop.Loop.run_until_complete
  File "/usr/local/lib/python3.6/dist-packages/rasa/train.py", line 96, in train_async
    kwargs,
  File "/usr/local/lib/python3.6/dist-packages/rasa/train.py", line 182, in _train_async_internal
    kwargs=kwargs,
  File "/usr/local/lib/python3.6/dist-packages/rasa/train.py", line 217, in _do_training
    kwargs=kwargs,
  File "/usr/local/lib/python3.6/dist-packages/rasa/train.py", line 346, in _train_core_with_validated_data
    kwargs=kwargs,
  File "/usr/local/lib/python3.6/dist-packages/rasa/core/train.py", line 43, in train
    policies = config.load(policy_config)
  File "/usr/local/lib/python3.6/dist-packages/rasa/core/config.py", line 28, in load
    return PolicyEnsemble.from_dict(config_data)
  File "/usr/local/lib/python3.6/dist-packages/rasa/core/policies/ensemble.py", line 328, in from_dict
    "".format(policy_name)
rasa.core.policies.ensemble.InvalidPolicyConfig: Module for policy 'MemoizationPolicy' could not be loaded. Please make sure the name is a valid policy.

It still creates the project directory, but then come all of these. By checking the version comes out this:

(rasavenv) devugees@devugees-fbw-8-10:~$ pip show rasa
Name: rasa
Version: 1.4.0
Summary: Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Home-page: https://rasa.com
Author: Rasa Technologies GmbH
Author-email: hi@rasa.com
License: Apache 2.0
Location: /usr/local/lib/python3.6/dist-packages
Requires: python-engineio, sanic-jwt, boto3, aiohttp, jsonschema, mattermostwrapper, questionary, tensorflow-probability, sanic-cors, slackclient, numpy, absl-py, async-generator, kafka-python, pydot, tensorflow, networkx, sanic, tqdm, packaging, python-socketio, pykwalify, rasa-sdk, setuptools, jsonpickle, pika, scikit-learn, colorclass, webexteamssdk, tensor2tensor, scipy, fbmessenger, twilio, terminaltables, PyJWT, apscheduler, ruamel.yaml, rocketchat-API, matplotlib, requests, scikit-learn, gast, sklearn-crfsuite, colorhash, pytz, coloredlogs, pymongo, python-dateutil, python-telegram-bot, attrs, SQLAlchemy, gevent, redis
Required-by: rasa-x

Any help on this, I appreciate it.

Best regards,

8

Hi Tanja,

Thank for your useful commands. They work.

However, I encountered another problem when I tested the simple chatbot by following Rasa Tutorial.

Details: 2019-10-29 09:57:44 INFO root - Starting Rasa server on http://localhost:5005 2019-10-29 09:57:50 INFO absl - Entry Point [tensor2tensor.envs.tic_tac_toe_env:TicTacToeEnv] registered with id [T2TEnv-TicTacToeEnv-v0] Bot loaded. Type a message and press enter (use ‘/stop’ to exit): Your input -> hi
2019-10-29 09:58:02 ERROR asyncio - Task exception was never retrieved future: <Task finished coro=<configure_app..run_cmdline_io() done, defined at /home/wilson/rasaenv/lib/python3.6/site-packages/rasa/core/run.py:123> exception=ClientConnectorError(ConnectionKey(host=‘localhost’, port=5005, is_ssl=False, ssl=None, proxy=None, proxy_auth=None, proxy_headers_hash=None), ConnectionRefusedError(111, ‘Connection refused’))> Traceback (most recent call last): File “/home/wilson/rasaenv/lib/python3.6/site-packages/aiohttp/connector.py”, line 936, in _wrap_create_connection return await self._loop.create_connection(*args, **kwargs) # type: ignore # noqa File “uvloop/loop.pyx”, line 1927, in create_connection File “uvloop/loop.pyx”, line 1906, in uvloop.loop.Loop.create_connection ConnectionRefusedError: [Errno 111] Connection refused

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

Traceback (most recent call last): File “/home/wilson/rasaenv/lib/python3.6/site-packages/rasa/core/run.py”, line 127, in run_cmdline_io server_url=constants.DEFAULT_SERVER_FORMAT.format(“http”, port) File “/home/wilson/rasaenv/lib/python3.6/site-packages/rasa/core/channels/console.py”, line 135, in record_messages async for response in bot_responses: File “/home/wilson/rasaenv/lib/python3.6/site-packages/rasa/core/channels/console.py”, line 98, in send_message_receive_stream async with session.post(url, json=payload, raise_for_status=True) as resp: File “/home/wilson/rasaenv/lib/python3.6/site-packages/aiohttp/client.py”, line 1012, in aenter self._resp = await self._coro File “/home/wilson/rasaenv/lib/python3.6/site-packages/aiohttp/client.py”, line 483, in _request timeout=real_timeout File “/home/wilson/rasaenv/lib/python3.6/site-packages/aiohttp/connector.py”, line 523, in connect proto = await self._create_connection(req, traces, timeout) File “/home/wilson/rasaenv/lib/python3.6/site-packages/aiohttp/connector.py”, line 859, in _create_connection req, traces, timeout) File “/home/wilson/rasaenv/lib/python3.6/site-packages/aiohttp/connector.py”, line 1004, in _create_direct_connection raise last_exc File “/home/wilson/rasaenv/lib/python3.6/site-packages/aiohttp/connector.py”, line 986, in _create_direct_connection req=req, client_error=client_error) File “/home/wilson/rasaenv/lib/python3.6/site-packages/aiohttp/connector.py”, line 943, in _wrap_create_connection raise client_error(req.connection_key, exc) from exc aiohttp.client_exceptions.ClientConnectorError: Cannot connect to host localhost:5005 ssl:default [Connection refused]

I had googled but could not find any solution. Please advise.

Regards, Wilson

9

Hi Tanja,

I finally solved my Rasa Shell problem by running the following command in virtual environment: sudo apt-get upgrade

Thanks a lot.

Regards, Wilson

10

I did It. But still I get Error.

Training Core model… Traceback (most recent call last): File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\core\registry.py”, line 21, in policy_from_module_path module_path, lookup_path=“rasa.core.policies.registry” File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\utils\common.py”, line 208, in class_from_module_path m = importlib.import_module(lookup_path) File “C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.7_3.7.1776.0_x64__qbz5n2kfra8p0\lib\importlib_init_.py”, line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File “”, line 1006, in _gcd_import File “”, line 983, in _find_and_load File “”, line 967, in _find_and_load_unlocked File “”, line 677, in load_unlocked File “”, line 728, in exec_module File “”, line 219, in call_with_frames_removed File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\core\policies\registry.py”, line 5, in from rasa.core.policies.embedding_policy import EmbeddingPolicy File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\core\policies\embedding_policy.py”, line 22, in from rasa.utils import train_utils File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\utils\train_utils.py”, line 8, in from sklearn.model_selection import train_test_split File "c:\users\user\desktop\testbot\venv\lib\site-packages\sklearn_init.py", line 64, in from .base import clone File “c:\users\user\desktop\testbot\venv\lib\site-packages\sklearn\base.py”, line 14, in from .utils.fixes import signature File "c:\users\user\desktop\testbot\venv\lib\site-packages\sklearn\utils_init.py", line 16, in from .fixes import Sequence as Sequence File “c:\users\user\desktop\testbot\venv\lib\site-packages\sklearn\utils\fixes.py”, line 85, in from scipy.special import boxcox # noqa File "c:\users\user\desktop\testbot\venv\lib\site-packages\scipy\special_init.py", line 634, in from . import _ufuncs ImportError: DLL load failed: The specified module could not be found.

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\core\policies\ensemble.py”, line 320, in from_dict constr_func = registry.policy_from_module_path(policy_name) File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\core\registry.py”, line 24, in policy_from_module_path raise ImportError(f"Cannot retrieve policy from path ‘{module_path}’") ImportError: Cannot retrieve policy from path ‘MemoizationPolicy’

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File “C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.7_3.7.1776.0_x64__qbz5n2kfra8p0\lib\runpy.py”, line 193, in run_module_as_main “main”, mod_spec) File “C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.7_3.7.1776.0_x64__qbz5n2kfra8p0\lib\runpy.py”, line 85, in run_code exec(code, run_globals) File "C:\Users\User\Desktop\TestBot\venv\Scripts\rasa.exe_main.py", line 9, in File "c:\users\user\desktop\testbot\venv\lib\site-packages\rasa_main.py", line 76, in main cmdline_arguments.func(cmdline_arguments) File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\cli\scaffold.py”, line 197, in run init_project(args, path) File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\cli\scaffold.py”, line 115, in init_project print_train_or_instructions(args, path) File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\cli\scaffold.py”, line 52, in print_train_or_instructions args.model = rasa.train(domain, config, training_files, output) File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\train.py”, line 50, in train additional_arguments=additional_arguments, File “C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.7_3.7.1776.0_x64__qbz5n2kfra8p0\lib\asyncio\base_events.py”, line 583, in run_until_complete return future.result() File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\train.py”, line 101, in train_async additional_arguments, File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\train.py”, line 188, in _train_async_internal additional_arguments=additional_arguments, File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\train.py”, line 223, in _do_training additional_arguments=additional_arguments, File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\train.py”, line 361, in _train_core_with_validated_data additional_arguments=additional_arguments, File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\core\train.py”, line 44, in train policies = config.load(policy_config) File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\core\config.py”, line 28, in load return PolicyEnsemble.from_dict(config_data) File “c:\users\user\desktop\testbot\venv\lib\site-packages\rasa\core\policies\ensemble.py”, line 331, in from_dict “”.format(policy_name) rasa.core.policies.ensemble.InvalidPolicyConfig: Module for policy ‘MemoizationPolicy’ could not be loaded. Please make sure the name is a valid policy. Help please

12

conda create -n rasaenv python=3.7 anaconda ---- > set python 3.7

conda install tensorflow==2.1.0 -----> install tensorflow 2.1.0

pip install rasa==1.9.0 --> install rasa 1.9.0 version

these steps works for me.

13

Screenshot from 2021-04-12 12-47-00
Screenshot from 2021-04-12 12-47-001920×1080 341 KB

If I give command like this : rasa train but it gives below error: No training data given. Please provide stories and NLU data in order to train a Rasa model using the ‘–data’ argument.

if I give command like this: python -m rasa train core -s data/stories.md -d domain.yml --config config.yml

Then it show error like this: rasa.core.policies.ensemble.InvalidPolicyConfig: Module for policy ‘MemoizationPolicy’ could not be loaded. Please make sure the name is a valid policy.