Integrated with Articulate UI.

BotSharp.Core/Engines/BotTrainer.cs

@@ -57,7 +57,7 @@ namespace BotSharp.Core.Engines
 
             var settings = new PipeSettings
             {
-                ProjectDir = Path.Combine(options.AgentDir),
+                ProjectDir = options.AgentDir,
                 AlgorithmDir = Path.Combine(AppDomain.CurrentDomain.GetData("ContentRootPath").ToString(), "Algorithms")
             };
 

BotSharp.RestApi/Rasa/ParseController.cs

@@ -47,7 +47,7 @@ namespace BotSharp.RestApi.Rasa
                 body = reader.ReadToEnd();
             }
 
-            if(request ==null && !String.IsNullOrEmpty(body))
+            if(request.Project ==null && !String.IsNullOrEmpty(body))
             {
                 request = JsonConvert.DeserializeObject<RasaRequestModel>(body);
             }

BotSharp.RestApi/Rasa/StatusController.cs

@@ -36,6 +36,7 @@ namespace BotSharp.RestApi.Rasa
         {
             var status = new RasaStatusModel();
             status.AvailableProjects = JObject.FromObject(new { });
+            status.MaxTrainingProcesses = 1;
 
             // scan dir, get all models
             var projectPath = Path.Combine(AppDomain.CurrentDomain.GetData("DataPath").ToString(), "Projects");

BotSharp.RestApi/Rasa/TrainController.cs

@@ -10,6 +10,7 @@ using System.Collections.Generic;
 using System.IO;
 using System.Linq;
 using System.Text;
+using System.Text.RegularExpressions;
 using System.Threading.Tasks;
 
 namespace BotSharp.RestApi.Rasa
@@ -48,8 +49,24 @@ namespace BotSharp.RestApi.Rasa
                 body = reader.ReadToEnd();
             }
 
-            var rasa_nlu_data = JsonConvert.DeserializeObject<RasaTrainRequestModel>(body);
+            string lang = Regex.Match(body, @"language:.+")?.Value;
+            if (!String.IsNullOrEmpty(lang))
+            {
+                lang = lang.Substring(11, 2);
+            }
+            string data = Regex.Match(body, @"data:([\s\S]*)")?.Value;
+            if (String.IsNullOrEmpty(data))
+            {
+                data = body;
+            }
+            else
+            {
+                data = data.Substring(6);
+            }
+
+            var rasa_nlu_data = JsonConvert.DeserializeObject<RasaTrainRequestModel>(data);
             rasa_nlu_data.Model = model;
+            rasa_nlu_data.Project = project;
             var trainResult = await Train(rasa_nlu_data, project);
 
             return trainResult;
@@ -73,6 +90,12 @@ namespace BotSharp.RestApi.Rasa
             }
 
             // Save raw data to file, then parse it to Agent instance.
+            var metaFileName = Path.Combine(modelPath, "meta.json");
+            System.IO.File.WriteAllText(metaFileName, JsonConvert.SerializeObject(new AgentImportHeader
+            {
+                Name = project,
+                Platform = "Rasa"
+            }));
             // in order to unify the process.
             var fileName = Path.Combine(modelPath, "corpus.json");
 
@@ -85,7 +108,11 @@ namespace BotSharp.RestApi.Rasa
 
             var agent = _platform.LoadAgentFromFile(modelPath);
 
-            var info = await trainer.Train(agent, new BotTrainOptions { Model = request.Model });
+            var info = await trainer.Train(agent, new BotTrainOptions
+            {
+                AgentDir = projectPath,
+                Model = request.Model
+            });
 
             return Ok(new { info = info.Model });
         }

README.rst

@@ -22,12 +22,22 @@ Some Features
 * Support for multiple data request and response formats such as Rasa NLU and Dialogflow.
 * Integrate with popular social platforms like Facebook Messenger, Slack and Telegram.
 
+Quick Started
+-------------
+You can use docker compose to run BotSharp quickly, make sure you've got `Docker`_ installed.
+::
+
+ PS D:\BotSharp\> docker-compose -f docker-compose-articulateui.yml up
+
+Point your web browser at http://localhost:3000 and enjoy BotSharp with Articulate-UI.
+
+
 Documents
 ---------
 Read the docs: https://botsharp.readthedocs.io
 
 Github Wiki: https://github.com/Oceania2018/BotSharp/wiki
 
-
+.. _Docker: https://www.docker.com
 .. _Rasa UI: https://github.com/paschmann/rasa-ui
 .. _Articulate UI: https://spg.ai/projects/articulate

docs/installation.rst

@@ -6,8 +6,17 @@ If you want to use the `RASA UI`_ as a front end, you can use the rasaui-specifi
 
 Docker Composer
 ^^^^^^^^^^^^^^^
-Integrate with `Rasa UI`_, you can use docker compose to run.
-Make sure you've got `Docker`_ installed.
+You can use docker compose to run, make sure you've got `Docker`_ installed.
+
+1. Integrate with `Articulate UI`_
+
+::
+
+ PS D:\BotSharp\> docker-compose -f docker-compose-articulateui.yml up
+
+Point your web browser at http://localhost:3000 and enjoy Articulate-UI with BotSharp.
+
+2. Integrate with `Rasa UI`_, you can use docker compose to run.
 
 ::