总览

rasa opensource 和 enterprise的关系

image

  1. Opensource 提供基础的话术搭建和运行服务
  2. Rasa Pro 提供分析、安全和可视化能力
  3. Rasa X 提供了易用的低代码用户接口

架构图

image

  1. 蓝色是 rasa opensource
  2. 紫色是 rasa enterprise
  3. 橘色是 第三方中间件

后面主要考虑先学习 rasa opensource，然后根据需要涉及到 rasa enterprise。
参考：https://rasa.com/docs/rasa

开始了

安装

rasa是python项目。正常玩的话，就用pip安装即可。

pip3 install rasa

生成的目录如下

-> % tree
.
├── actions
│   ├── actions.py
│   ├── __init__.py
│   └── __pycache__
│       ├── actions.cpython-310.pyc
│       └── __init__.cpython-310.pyc
├── config.yml
├── credentials.yml
├── data
│   ├── nlu.yml
│   ├── rules.yml
│   └── stories.yml
├── domain.yml
├── endpoints.yml
├── models
│   └── 20240626-133941-obliging-boundary.tar.gz
└── tests
    └── test_stories.yml

自己需要开发的话，用源码安装。这里用了poetry而不是pip安装。poetry适合在什么场合使用？相比pip有什么异同？后续学习的坑又增加了。

curl -sSL https://install.python-poetry.org | python3 -
git clone https://github.com/RasaHQ/rasa.git
cd rasa
poetry install

python3.10版本，如果涉及cryptography，还需要安装 rustc/cargo。貌似和加密相关。
rasa默认的某些模型，依赖spacy/mitie，如果需要开发也要安装。

Hello world

rasa的hello world实际上是搭建一个话术(或者说是bot/agent都行)。

rasa init

Cheat Sheet#

Command Effect
rasa init Creates a new project with example training data, actions, and config files.
rasa train Trains a model using your NLU data and stories, saves trained model in./models.
rasa interactive Starts an interactive learning session to create new training data by chatting to your assistant.
rasa shell Loads your trained model and lets you talk to your assistant on the command line.
rasa run Starts a server with your trained model.
rasa run actions Starts an action server using the Rasa SDK.
rasa visualize Generates a visual representation of your stories.
rasa test Tests a trained Rasa model on any files starting withtest_.
rasa test e2e Runs end-to-end testing fully integrated with the action server that serves as acceptance testing.
rasa data split nlu Performs a 80/20 split of your NLU training data.
rasa data split stories Do the same asrasa data split nlu, but for your stories data.
rasa data convert Converts training data between different formats.
rasa data migrate Migrates 2.0 domain to 3.0 format.
rasa data validate Checks the domain, NLU and conversation data for inconsistencies.
rasa export Exports conversations from a tracker store to an event broker.
rasa evaluate markers Extracts markers from an existing tracker store.
rasa marker upload Upload marker configurations to Analytics Data Pipeline
rasa license Display licensing information.
rasa -h Shows all available commands.

模型训练

rasa train

会在models目录下生成对应模型

模型测试

rasa interactive