You are currently viewing Server Side Implement of Usage Analytics of a Skill in SUSI.AI

Server Side Implement of Usage Analytics of a Skill in SUSI.AI

Which skills are being used most frequently in SUSI.AI? And which are rarely used? Such statistics are needed to give proper responses from the most used skills.

So when the user sends a query to SUSI, it searches for the best-suited skill to respond to that query. The usage count of that skill is incremented accordingly with the date.

Storage of Skill Usage Data

  1. Create a skillUsage.json file to store the stats and make a JSONTray object for that in file.
  2. Modify the file to check which skill is being currently used for the response and write the skill usage stats to skillUsage.json.The function updateUsageData takes the skillPath in parameter and splits it from slash character. Thus the model name, group name, language name and skill name can be obtained. Then it searches for the date in the JSON file. If it exists then its count value is increased by 1, else a new object is inserted in the JSON file that contains the date and the corresponding usage count.

public void updateUsageData(String skillPath) {
    Boolean dateExists = false;
    for (int i = 0; i<usageData.length(); i++) {
        JSONObject dayUsage = usageData.getJSONObject(i);
        if (dayUsage.get("date").equals(today)){
            dayUsage.put("count", dayUsage.getInt("count")+1+"");
            dateExists = true;

API to access the Skill Usage Data

  1. Create file to return the usage stats stored in skillUsage.json. It runs at the endponit – /cms/getSkillUage.json and mining role required to access this API is anonymous. It simply reads the data stored in skillUsage.json file and returns it.
JsonTray skillRating = DAO.skillUsage;
JSONObject  languageName = groupName.getJSONObject(language_name);
if (languageName.has(skill_name)) {
    JSONArray skillUsage = languageName.getJSONArray(skill_name);
    result.put("skill_name", skill_name);
    result.put("skill_usage", skillUsage);
    result.put("accepted", true);
    result.put("message", "Skill usage fetched");
    return new ServiceResponse(result);
  1. Add the API file to skillUsage.json
services = new Class[]{
	//Skill usage data

So now we know which skills are being used at what rate and make the required changes like server scaling, adding more accuracy to the feature etc. We can expand these stats to country wise or device wise usage distribution.



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