Merge pull request #849 from singnet/development

Development

.github/workflows/sonar.yml

@@ -0,0 +1,18 @@
+on: 
+  push:
+    branches:
+      - master
+      - development
+
+name: Sonar Analysis Workflow
+jobs:
+  sonarQubeTrigger:
+    name: SonarQube Trigger
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@master
+    - name: SonarQube Scan
+      uses: kitabisa/sonarqube-action@master
+      with:
+        host: ${{ secrets.SONAR_HOST }}
+        login: ${{ secrets.SONAR_TOKEN }}

.gitignore

@@ -83,9 +83,6 @@ src/assets/images/ThirdPartyServices/*
 #storybook
 storybook-static/
 
-#workflows
-.github/
-
 # macbook files
 .DS_Store
 

sonar-project.properties

@@ -0,0 +1,4 @@
+sonar.projectKey=marketplace-dapp
+sonar.projectName=marketplace-dapp
+sonar.projectVersion=0.0.1
+sonar.sources=.

src/Redux/actionCreators/ServiceDetailsActions.js

@@ -10,6 +10,7 @@ import { LoaderContent } from "../../utility/constants/LoaderContent";
 export const UPDATE_SERVICE_DETAILS = "UPDATE_SERVICE_DETAILS";
 export const RESET_SERVICE_DETAILS = "RESET_SERVICE_DETAILS";
 export const UPDATE_FREE_CALLS_INFO = "UPDATE_FREE_CALLS_INFO";
+export const UPDATE_TRAINING_DETAILS = "UPDATE_TRAINING_DETAILS";
 
 const resetServiceDetails = dispatch => {
   dispatch({ type: RESET_SERVICE_DETAILS });
@@ -53,6 +54,28 @@ const fetchMeteringDataSuccess = usageData => dispatch => {
   });
 };
 
+const fetchTrainingModelSuccess = serviceTrainingData => dispatch => {
+  dispatch({ type: UPDATE_TRAINING_DETAILS, payload: serviceTrainingData });
+};
+
+const fetchServiceTrainingDataAPI = async(orgId, serviceId)=>{
+  try{
+  const dataForUrl = await fetchServiceDetailsAPI(orgId, serviceId);
+  const url = `${dataForUrl.data.groups[0].endpoints[0].endpoint}/servicemethoddetails`;
+  const response = await fetch(url);
+  return response.json();
+  }
+  catch(error){
+    return {};
+  }
+};
+
+export const fetchTrainingModel = (orgId, serviceId) => async dispatch =>{
+  const serviceTrainingData = await fetchServiceTrainingDataAPI(orgId, serviceId);
+  dispatch(fetchTrainingModelSuccess(serviceTrainingData));
+
+};
+
 const meteringAPI = (token, orgId, serviceId, groupId, userId) => {
   const apiName = APIEndpoints.USER.name;
   const apiPath = APIPaths.FREE_CALL_USAGE;

src/Redux/reducers/ServiceDetailsReducer.js

@@ -7,6 +7,7 @@ import map from "lodash/map";
 const InitialServiceDetails = {
   details: {},
   freeCallsUsed: "",
+  detailsTraining: {},
 };
 
 const serviceDetailsReducer = (state = InitialServiceDetails, action) => {
@@ -20,6 +21,9 @@ const serviceDetailsReducer = (state = InitialServiceDetails, action) => {
     case serviceDetailsActions.UPDATE_FREE_CALLS_INFO: {
       return { ...state, freeCallsUsed: action.payload };
     }
+    case serviceDetailsActions.UPDATE_TRAINING_DETAILS: {
+      return { ...state, detailsTraining: action.payload };
+    }
     default: {
       return state;
     }

src/assets/thirdPartyServices/index.js

@@ -54,7 +54,7 @@ const FBProphetForecastService = lazy(() => import("./snet/fbprophet-forecast"))
 const CovidDetection = lazy(() => import("./rejuve/covid-detection"));
 const BinaryClassification = lazy(() => import("./nunet-org/binary-classification"));
 const UclnlpService = lazy(() => import("./nunet-org/uclnlp-service"));
-//const FakeNewsScoreService = lazy(() => import("./nunet-org/fake-news-score-service"));
+const FakeNewsScoreService = lazy(() => import("./nunet-org/fake_news_score_service"));
 //ADD_CONSTANTS_HERE
 
 class ThirdPartyCustomUIComponents {
@@ -160,7 +160,7 @@ addSnetCustomUI("fbprophet-forecast", FBProphetForecastService);
 addRejuveCustomUI("covid-detection", CovidDetection);
 addNunetCustomUI("binary-classification-service", BinaryClassification);
 addNunetCustomUI("uclnlp-service", UclnlpService);
-//addNunetCustomUI("fake-news-score-service", FakeNewsScoreService);
+addNunetCustomUI("fake-news-score-service", FakeNewsScoreService);
 
 //TODO remove before deploying to mainnet
 addOrg2CustomUI("freecall", ExampleService);

src/assets/thirdPartyServices/nunet-org/fake_news_score_service/fake_news_score.proto

@@ -0,0 +1,27 @@
+syntax = "proto3";
+
+message InputFNS {
+    string headline = 1;
+    string body = 2;
+    string call_id = 3;
+    string tracer_info = 4;
+}
+
+message Score {
+    string stance = 1;
+    double agree = 2;
+    double disagree = 3; 
+    double discuss = 4;
+    double unrelated = 5;
+}
+
+message Resp {
+    string response =1;
+}
+
+service FakeNewsScore {
+    rpc fn_score_calc(InputFNS) returns (Resp) {}
+}
+
+
+//TODO: warning -- upstream code change (SNET)