如何对rasa nlu培训师进行CURL调用

时间:2017-07-05 05:17:35

标签: curl meteor rasa-nlu

我在xxxx端口上运行rasa nlu培训师。我想从我的应用程序(流星)到rasa nlu培训师打电话给不同来源的nlu培训师。我想到了对nlu培训师的卷曲请求,但我们怎么能用curl命令进行rasa nlu training的源标志?

或者我是否有另一种选择来为我的流星应用程序提供动态源路径的rasa nlu培训师? 请指导我。

1 个答案:

答案 0 :(得分:0)

  

As mentioned in their official documentation,你可以制作cURL   使用 / train 端点向RASA NLU请求。它是一个HTTP POST   请求,所以请确保将语料库作为请求体发送。

$ curl -XPOST localhost:5000/train?project=my_project -d @data/examples/rasa/demo-rasa.json

或者,你可以这样做:

创建一个批处理文件,用于训练RASA,如TrainRASA.bat,它将具有以下python命令:

cd <Your Path>
python -m rasa_nlu.train -c config_spacy.json

按如下方式生成config_spacy.json文件:

{
    "project": "Travel",
    "pipeline": "spacy_sklearn",
    "language": "en",
    "num_threads": 1,
    "max_training_processes": 1,
    "path": "C:\\Users\\Kunal\\Desktop\\RASA\\models",
    "response_log": "C:\\Users\\Kunal\\Desktop\\RASA\\log",
    "config": "C:\\Users\\Kunal\\Desktop\\RASA\\config_spacy.json",
    "log_level": "INFO",
    "port": 5000,
    "data": "C:\\Users\\Kunal\\Desktop\\RASA\\data\\FlightBotFinal.json",
    "emulate": "luis",
    "spacy_model_name": "en",
    "token": null,
    "cors_origins": ["*"],
    "aws_endpoint_url": null
  }

现在制作一个C#Web API来训练您的RASA模型,如下所示:

[HttpGet]
[Route("api/TrainRASA")]
[EnableCors("*", "*", "*")]
public Task TrainRASA([FromUri] string BatchFilePath, [FromUri] string BatchFileDirectory)
{
            try
            {
             return Task.Run(() => 
              {
                ProcessStartInfo startInfo = new ProcessStartInfo()
                {
                    FileName = BatchFilePath,
                    CreateNoWindow = false,
                    UseShellExecute = true,
                    WindowStyle = ProcessWindowStyle.Normal,
                    WorkingDirectory = BatchFileDirectory
                };

                // Start the process with the info we specified.
                // Call WaitForExit and then the using-statement will close.
                using (System.Diagnostics.Process exeProcess = System.Diagnostics.Process.Start(startInfo))
                {
                    exeProcess.WaitForExit();
                }
           });
         }
            catch (Exception ex)
            {
                throw;
            }
}

现在只需从Chrome发送一个HTTP GET,将批处理文件目录作为参数传递。