połaczaenie bE

app/src/components/Hero.jsx

@@ -19,6 +19,9 @@ const Hero = () => {
   let number_of_defenders = 0;
   let number_of_strikers = 0;
 
+  let shooterX = 0;
+  let shooterY = 0;
+
   // zmienne globalne bedace danymi wejsciowymi do modelu
 
 
@@ -60,14 +63,16 @@ const Hero = () => {
       if (ball) {
           var x = ball.style.left;
           var y = ball.style.top;
-          var query = "http://localhost:5000/LRegresion" + x + "&" + y
+          var query = "http://localhost:5000/LRegresion" + shooterX + "&" + shooterY
-          
           fetch(query).then(
+            res=> res.json() 
+          ).then(
             data => {
-            setData(data) 
+              setData(data)
-            console.log(data)
+              console.log(data)
             }
-            )
+          )
+          alert(data.response)    
       } else {
           alert('Piłka nie jest obecnie na boisku.');
       }
@@ -75,17 +80,23 @@ const Hero = () => {
 
   /* Funkcja dodająca listener do boiska*/
   function boiskoListener(){
+
       var x = event.clientX - footballField.getBoundingClientRect().left;
       var y = event.clientY - footballField.getBoundingClientRect().top;
+      shooterX = (x * 105)/600
+      shooterY = ((400 - y) * 69)/ 400
+
       // Przypadek kiedy zaznaczamy strzelca
       if(active_bbt == "bbt1"){
         var existingBall = document.querySelector('.football');
+
         if (!existingBall) {
             var ball = document.createElement('div');
             ball.className = 'football';
             ball.style.left = x + 'px';
             ball.style.top = y + 'px';
             footballField.appendChild(ball);
+
         } else {
             alert('Możesz dodać tylko jedną piłkę!');
         }

app/src/flask-server/server.py

@@ -15,12 +15,12 @@ def members():
 
 @app.route("/LRegresion<x>&<y>")
 def LRegresion(x,y):
-    
-    x = int(x[0:2])
-    y = int(y[0:2])
 
-    response = LogisticRegression_predict_proba(9.23, -2.24, 9.5, 13.67, 13, 3, 0, 1, 0)
+    x = round(x,2)
-    return {"response":[str(response),"proces"]}
+    y = round(y,2)
+
+    response = LogisticRegression_predict_proba(x, y, 9.5, 13.67, 13, 3, 0, 1, 0)
+    return {"response":[str(response)]}
 
 # uruchomienie serwera
 if __name__ == "__main__":