Rasa基础--常用控制台命令篇

目录

命令列表

Rasa init  创建新项目

Rasa train 训练rasa模型

可选择的参数

rasa run

更多解释详见

---

命令列表

命令	简介
rasa init	使用示例训练数据，操作和配置文件创建一个新项目。位于空目录下运行即可
rasa train	使用您的NLU数据和故事来训练模型，并将训练后的模型保存在中./models。
rasa interactive	开始一个交互式学习会话，以通过聊天创建新的训练数据。
rasa shell	加载经过训练的模型，并允许您在命令行上与助手交谈。
rasa run	使用训练有素的模型启动Rasa服务器。有关详细信息，请参见配置HTTP API文档。
rasa run actions	使用Rasa SDK启动动作服务器。
rasa visualize	可视化故事。
rasa test	使用您的测试NLU数据和故事测试经过训练的Rasa模型。
rasa data split nlu	根据指定的百分比对NLU数据进行拆分。
rasa data convert nlu	在不同格式之间转换NLU训练数据。
rasa export	将对话从跟踪商店存储到事件代理。
rasa x	在本地启动RasaX。
rasa -h	显示所有可用命令。

Rasa init  创建新项目

在空目录加运行即可创建一下文件，一个简单的rasa项目

Rasa train 训练rasa模型

该命令同时训练Rasa NLU和Rasa Core模型。如果只想训练NLU或Core模型，则可以运行下面代码。如果训练数据和配置未更改，Rasa将自动跳过训练core或NLU。

rasa train nlu 
rasa train core

rasa train会将经过训练的模型存储在定义的目录中--out。默认情况下，模型名称为.tar.gz。如果要使用不同的名称命名模型，可以使用来指定名称--fixed-model-name。

可选择的参数

usage: rasa train [-h] [-v] [-vv] [--quiet] [--data DATA [DATA ...]]
                  [-c CONFIG] [-d DOMAIN] [--out OUT]
                  [--augmentation AUGMENTATION] [--debug-plots]
                  [--num-threads NUM_THREADS]
                  [--fixed-model-name FIXED_MODEL_NAME] [--persist-nlu-data]
                  [--force]
                  {core,nlu} ...

positional arguments:
  {core,nlu}
    core                Trains a Rasa Core model using your stories.
    nlu                 Trains a Rasa NLU model using your NLU data.

optional arguments:
  -h, --help            show this help message and exit
  --data DATA [DATA ...]
                        Paths to the Core and NLU data files. (default:
                        ['data'])
  -c CONFIG, --config CONFIG
                        The policy and NLU pipeline configuration of your bot.
                        (default: config.yml)
  -d DOMAIN, --domain DOMAIN
                        Domain specification (yml file). (default: domain.yml)
  --out OUT             Directory where your models should be stored.
                        (default: models)
  --augmentation AUGMENTATION
                        How much data augmentation to use during training.
                        (default: 50)
  --debug-plots         If enabled, will create plots showing checkpoints and
                        their connections between story blocks in a file
                        called `story_blocks_connections.html`. (default:
                        False)
  --num-threads NUM_THREADS
                        Maximum amount of threads to use when training.
                        (default: 1)
  --fixed-model-name FIXED_MODEL_NAME
                        If set, the name of the model file/directory will be
                        set to the given name. (default: None)
  --persist-nlu-data    Persist the nlu training data in the saved model.
                        (default: False)
  --force               Force a model training even if the data has not
                        changed. (default: False)

Python Logging Options:
  -v, --verbose         Be verbose. Sets logging level to INFO. (default:
                        None)
  -vv, --debug          Print lots of debugging statements. Sets logging level
                        to DEBUG. (default: None)
  --quiet               Be quiet! Sets logging level to WARNING. (default:
                        None)

rasa run

启动rasa的服务

usage: rasa run [-h] [-v] [-vv] [--quiet] [-m MODEL] [--log-file LOG_FILE]
                [--endpoints ENDPOINTS] [-p PORT] [-t AUTH_TOKEN]
                [--cors [CORS [CORS ...]]] [--enable-api]
                [--response-timeout RESPONSE_TIMEOUT]
                [--remote-storage REMOTE_STORAGE]
                [--ssl-certificate SSL_CERTIFICATE]
                [--ssl-keyfile SSL_KEYFILE] [--ssl-ca-file SSL_CA_FILE]
                [--ssl-password SSL_PASSWORD] [--credentials CREDENTIALS]
                [--connector CONNECTOR] [--jwt-secret JWT_SECRET]
                [--jwt-method JWT_METHOD]
                {actions} ... [model-as-positional-argument]

positional arguments:
  {actions}
    actions             Runs the action server.
  model-as-positional-argument
                        Path to a trained Rasa model. If a directory is
                        specified, it will use the latest model in this
                        directory. (default: None)

optional arguments:
  -h, --help            show this help message and exit
  -m MODEL, --model MODEL
                        Path to a trained Rasa model. If a directory is
                        specified, it will use the latest model in this
                        directory. (default: models)
  --log-file LOG_FILE   Store logs in specified file. (default: None)
  --endpoints ENDPOINTS
                        Configuration file for the model server and the
                        connectors as a yml file. (default: None)

Python Logging Options:
  -v, --verbose         Be verbose. Sets logging level to INFO. (default:
                        None)
  -vv, --debug          Print lots of debugging statements. Sets logging level
                        to DEBUG. (default: None)
  --quiet               Be quiet! Sets logging level to WARNING. (default:
                        None)

Server Settings:
  -p PORT, --port PORT  Port to run the server at. (default: 5005)
  -t AUTH_TOKEN, --auth-token AUTH_TOKEN
                        Enable token based authentication. Requests need to
                        provide the token to be accepted. (default: None)
  --cors [CORS [CORS ...]]
                        Enable CORS for the passed origin. Use * to whitelist
                        all origins. (default: None)
  --enable-api          Start the web server API in addition to the input
                        channel. (default: False)
  --response-timeout RESPONSE_TIMEOUT
                        Maximum time a response can take to process (sec).
                        (default: 3600)
  --remote-storage REMOTE_STORAGE
                        Set the remote location where your Rasa model is
                        stored, e.g. on AWS. (default: None)
  --ssl-certificate SSL_CERTIFICATE
                        Set the SSL Certificate to create a TLS secured
                        server. (default: None)
  --ssl-keyfile SSL_KEYFILE
                        Set the SSL Keyfile to create a TLS secured server.
                        (default: None)
  --ssl-ca-file SSL_CA_FILE
                        If your SSL certificate needs to be verified, you can
                        specify the CA file using this parameter. (default:
                        None)
  --ssl-password SSL_PASSWORD
                        If your ssl-keyfile is protected by a password, you
                        can specify it using this paramer. (default: None)

Channels:
  --credentials CREDENTIALS
                        Authentication credentials for the connector as a yml
                        file. (default: None)
  --connector CONNECTOR
                        Service to connect to. (default: None)

JWT Authentication:
  --jwt-secret JWT_SECRET
                        Public key for asymmetric JWT methods or shared
                        secretfor symmetric methods. Please also make sure to
                        use --jwt-method to select the method of the
                        signature, otherwise this argument will be ignored.
                        (default: None)
  --jwt-method JWT_METHOD
                        Method used for the signature of the JWT
                        authentication payload. (default: HS256)

更多解释详见

https://rasa.com/docs/rasa/user-guide/command-line-interface/#id2