Adding Description to the Susi AI Skills

Susi skill CMS is an editor to write and edit skill easily. It follows an API-centric approach where the Susi server acts as API server and a web front-end act as the client for the API and provides the user interface. A skill is a set of intents. One text file represents one skill, it may contain several intents which all belong together. All the skills are stored in Susi Skill Data repository and the schema is as following.

Using this, one can access any skill based on four tuples parameters model, group, language, skill. To know what a skill is about we needed to add a !description operator which identifies the text as a description for the skill. Let’s check out how to achieve it.Susi Skill class provides parser methods for the set of intents, given as text files.

 public static JSONObject readEzDSkill(BufferedReader br) throws JSONException {}
if (line.startsWith("!") && (thenpos = line.indexOf(':')) > 0) {
        String head = line.substring(1, thenpos).trim().toLowerCase();
       String tail = line.substring(thenpos + 1).trim();
if (head.equals("description")) {
   description =tail;
    }
}
 if (description.length() > 0) intent.put("description", description); 

The method readEzDSkill parses the skill txt file, it checks if a line starts with ‘!description’ (‘bang operator with description’) it then stores the content in string variable description.
If a description is found in a skill, it is recorded and put into Json Array of intents.

private final Map<String, Set<String>> skillDescriptions; 
 if (intent.getDescription() !=null) {
  Set<String> descriptions = this.skillDescriptions.get(intent.getSkill());
  if (descriptions == null) {
     descriptions = new LinkedHashSet<>();
     this.skillDescriptions.put(intent.getSkill(), descriptions);
   }
   descriptions.add(intent.getDescription());
}

SusiMind class  process this json and stores the description in a map of skill path and description. This map is used by DescriptionSkillService to list descriptions for all the skills given its model, group and language. For adding the description servlet we need to inherit the service class from AbstractAPIHandler and implement APIhandler interface.In Susi Server, an abstract class AbstractAPIHandler extending HttpServelets and implementing API handler interface is provided.

 @Override
    public BaseUserRole getMinimalBaseUserRole() { return BaseUserRole.ANONYMOUS; }

    @Override
    public JSONObject getDefaultPermissions(BaseUserRole baseUserRole) {
        return null;
    }

    @Override
    public String getAPIPath() {
        return "/cms/getDescriptionSkill.json";
    }

The getAPIPath() methods sets the API endpoint path, it gets appended to base path which is 127.0.0.1:4000/cms/getDescriptionSkill.json for local host. The getMinimalBaseRole method tells the minimum Userrole required to access this servlet it can also be ADMIN, USER. In our case it is Anonymous. A User need not log in to access this endpoint.
Next, we implement serviceimpl method which gives us the desired response in JSON format.

@Override
    public ServiceResponse serviceImpl(Query call, HttpServletResponse response, Authorization rights, final JsonObjectWithDefault permissions) {
        String model = call.get("model", "");
        String group = call.get("group", "");
        String language = call.get("language", "");
        JSONObject descriptions = new JSONObject(true);
            for (Map.Entry<String, Set<String>> entry : DAO.susi.getSkillDescriptions().entrySet()) {
                String path = entry.getKey();
  if ((model.length() == 0 || path.indexOf("/" + model + "/") > 0) &&(group.length() == 0 || path.indexOf("/" + group + "/") > 0) &&(language.length() == 0 || path.indexOf("/" + language + "/") > 0)) {
      descriptions.put(path, entry.getValue());
   }
            }
            JSONObject json = new JSONObject(true)
                    .put("model", model)
                    .put("group", group)
                    .put("language", language)
                    .put("descriptions", descriptions);
        return new ServiceResponse(json);
    }

We can get the required parameters through a call.get() method where the first parameter is the key for which we want to get the value and second parameter is the default value. If the path contains the desired language, group and model, we return it as a response otherwise an error message is displayed. To check the response go to http://api.susi.ai/cms/getDescriptionSkill.json?model=general&group=knowledge&language=en or http://127.0.0.1:4000/cms/getDescriptionSkill.json.

This is how getDescriptionSkill service works. To add a description to the skill visit susi_skill_data, the storage place for susi skills. For more information and complete code take a look at Susi server and join gitter chat channel for discussions.

Resources

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Getting Response Feedback In SUSI.AI Web Chat

The SUSI.AI Web Chat provides responses for various queries, but the quality of responses it not always the best possible. Machine learning and deep learning algorithms will help us to solve this step by step. In order to implement machine learning, we need feedback mechanisms. The first step in this direction is to provide users with a way to give feedback to responses with a “thumbs up” or “thumbs down”. In this blog, I explain how we fetch the feedback of responses from the server.

On asking a query like tell me a quote, Susi responses with following message:

Now the user can rate the response by pressing thumbs up or thumbs down button. We store this response on the server. For getting this count of feedback we use the following endpoint:

BASE_URL+'/cms/getSkillRating.json?'+'model='+model+'&group='+group+'&skill='+skill;

Here:

  • BASE_URL: Base URL of our server: http://api.susi.ai/
  • model: Model of the skill from which response is fetched. For example “general”.
  • group: The group of the skill from which response is fetched. For example “entertainment”.
  • skill: name of the skill from which response is fetched. For example “quotes”.

We make an ajax call to the server to fetch the data:

$.ajax({
          url: getFeedbackEndPoint,
          dataType: 'jsonp',
          crossDomain: true,
          timeout: 3000,
          async: false,
          success: function (data) {
            console.log(getFeedbackEndPoint)
            console.log(data);
            if(data.accepted) {
              let positiveCount = data.skill_rating.positive;
              let negativeCount = data.skill_rating.negative;
              receivedMessage.positiveFeedback = positiveCount;
              receivedMessage.negativeFeedback = negativeCount;
            }

}

In the success function, we receive the data, which is in jsonp format. We parse this to get the desired result and store it in variable positiveCount and negativeCount. An example of data response is :

In the client, we can get value corresponding to positive and negative key as follows :

let positiveCount = data.skill_rating.positive;
let negativeCount = data.skill_rating.negative;

This way we can fetch the positive and negative counts corresponding to a particular response. This data can be used in many ways, for example:

  • It can be used to display the number of positive and negative count next to the thumbs:

  • It can be used in machine learning algorithms to improve the response that SUSI.AI provides.

Resources:

Testing Link:

http://chat.susi.ai/

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Handling Change of Password of SUSI.AI Account

In this blog, we will talk about a very special case, where the user changes his password to his current one only, in other words, the user enters the same password in both current password and new password. This case is now being handled by SUSI.AI server.

Considering the example of SUSI.AI Web Chat, we have following dialog when the user tries to change his/her password:

Here the user can add his/her current password and new password. When the new password meets the minimum conditions (minimum 6 characters), then the user can press CHANGE button.

We make ajax call to the server with the following endpoint:

BASE_URL+'/aaa/changepassword.json?'+
            'changepassword=' + email +
            '&password=' + this.state.passwordValue +
            '&newpassword=' + this.state.newPasswordValue +
            '&access_token='+cookies.get('loggedIn');

Here we have 4 parameters:

  • changepassword: This takes the email of the current user
  • password: This is the password of the current user, which is saved in the state named “passwordValue”
  • newpassword: This is the new password which the user enters
  • access_token: These are access tokens which are fetched from cookies. These are defined on login and are deleted on logout.

This is now handled on the server by a file named PasswordChangeService.java. Here we have to check whether the newpassword and password matches or not.

In this file, we have a function named serviceImpl with return type ServiceResponse and takes in an argument: Query post (Query is the return type). The query is not the only argument, Please read from the file from resources mentioned below for all the argument. To handle our case we just need to work with the post.

We extract the password, newpassword and email as follows:

String useremail = post.get("changepassword", null);
String password = post.get("password", null);
String newpassword = post.get("newpassword",null);

So to simply handle the case where password and newpassword matches, we define an if block in java and compare these two parameters as follows:

if(password.equals(newpassword)){
            result.put("message", "Your current password and new password matches");
            result.put("accepted", false);
            return new ServiceResponse(result);
}

Here we put the message as “Your current password and new password matches” and make the accepted flag of result JSON as false. After this, we return the ServiceResponse.

Now in our web chat client, the ajax call is as follows:

$.ajax({
                url: changePasswordEndPoint,
                dataType: 'jsonp',
                crossDomain: true,
                timeout: 3000,
                async: false,
                statusCode: {
                    422: function() {
                      let msg = 'Invalid Credentials. Please check your Email or Password.';
                      let state = this.state;
                      state.msg = msg;
                      this.setState(state);
                    }
                },
                success: function (response) {
                    let msg = response.message+'\n Please login again.';
                    let state = this.state;
                    state.msg = msg;
                    state.success = true;
                    state.msgOpen = true;
                    this.setState(state);
                }.bind(this),
                error: function(jqXHR, textStatus, errorThrown) {
                    let msg = 'Failed. Try Again';
                    if (status === 'timeout') {
                      msg = 'Please check your internet connection';
                    }
                    let state = this.state;
                    state.msg = msg;
                    state.msgOpen = true;
                    this.setState(state);
                }.bind(this)
            });

In our success method of ajax call,  we receive the JSON response in a variable named response and store this in the state in variable msg and set the state of success equal to true. We then use the state and message to handle accordingly.

Our JSON object when both password and new password are same:

So this is how clients can handle accordingly to the message received from the server instead of doing this on their own end.

Resources

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