rozbudowa serwera, i pliku modele.py
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@ -17,28 +17,23 @@ const Hero = () => {
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//przez listener nanoszący zawodników na boisko. 1 - strzelec , 2 - bramkarz , 3 - obronca, 4 - napasnik. zmienna przez aktywacje przycskówk bb1, bb2, bb3 i bb4
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let active_bbt = "bbt1";
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let number_of_defenders = 0;
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let number_of_strikers = 0;
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let number_of_goalkeepers = 0;
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var numer_od_shooters = 0;
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var eX = " ";
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const [number_of_defenders, setNumberOfDevenders] = useState(0);
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const [number_of_strikers, setNumberOfStrikers] = useState(0)
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const [number_of_goalkeepers, setNumberOfGoalkeppers] = useState(0);
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const [number_of_shooters,setNumberOfShooters] = useState(0);
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// zmienne globalne bedace danymi wejsciowymi do modelu
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var shooterX = 12;
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var shooterY = 12;
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var shooter = [0,0]
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var goalkeeper = [0,0]
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var stricers = new Array;
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var defenders = new Array;
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var bodyPart = "";
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var technique = "";
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var actionType = "";
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var shooterPossition = "";
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const [bodyPart,setBodyPart] = useState('prawa');
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const [technique,setTechnique] = useState('zwykly');
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const [actionType,setActionType] = useState('pozycyjny');
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const [shooterPossition,setPossition] = useState('napastnik');
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//zamiana procentowych pozycji na kartezyjskie
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function konwerturX(x){
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@ -59,16 +54,6 @@ const Hero = () => {
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document.getElementById(a).style.background = "#00CC66";
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active_bbt = a
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}
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function changeLeg(a){
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document.getElementById("bbt5").style.background = "#99FFCC";
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document.getElementById("bbt6").style.background = "#99FFCC";
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document.getElementById("bbt7").style.background = "#99FFCC";
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document.getElementById("bbt8").style.background = "#99FFCC";
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document.getElementById(a).style.background = "#00CC66";
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Leg_bbt = a
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}
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// Reset Boiska
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function resetField() {
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@ -84,10 +69,10 @@ const Hero = () => {
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players.forEach(function(element) {
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list.removeChild(element);
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})
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number_of_defenders = 0
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number_of_strikers = 0
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number_of_goalkeepers = 0
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numer_od_shooters = 0
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setNumberOfDevenders(0);
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setNumberOfStrikers(0)
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setNumberOfGoalkeppers(0)
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setNumberOfShooters(0)
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}
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@ -101,13 +86,13 @@ const Hero = () => {
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list.removeChild(player)
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bojo.removeChild(ball)
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if(possition == 1){
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number_of_goalkeepers = 0
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setNumberOfGoalkeppers(0)
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}else if(possition == 2){
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number_of_defenders = number_of_defenders -1 ;
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setNumberOfDevenders(number_of_defenders-1) ;
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}else if (possition == 3){
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number_of_strikers = number_of_strikers -1 ;
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setNumberOfStrikers(number_of_strikers-1) ;
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}else if(possition == 0){
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numer_od_shooters = 0
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setNumberOfShooters(0)
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}
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}
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@ -115,21 +100,6 @@ const Hero = () => {
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function loadPlayers(){
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var players = document.querySelectorAll('.player')
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//zgranie informacji z list
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var bodyPartList = document.getElementById('bodyPartList')
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var actionTypeList = document.getElementById('actionTypeList')
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var possitionList = document.getElementById('possitionList')
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var shootTypeList = document.getElementById('shootTypeList')
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bodyPart = bodyPartList.getAttribute('value')
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alert(bodyPart)
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actionType = actionTypeList.value
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shooterPossition = possitionList.value
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technique = shootTypeList.value
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// wyczyszczenie list zawierajacych lokalizacje zawodnikow
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defenders = []
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stricers = []
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@ -260,15 +230,15 @@ const Hero = () => {
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})
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}
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// // Wyłanie zapytania do serwera
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function sentQuestion() {
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///Dziwny Blad
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loadPlayers()
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alert(bodyPart)
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if (numer_od_shooters > 0) {
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if (number_of_shooters == 1) {
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// Użyj backticksów zamiast zwykłych cudzysłowów
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fetch(`http://127.0.0.1:5000/get_model?shooter=${shooter}&goalkeeper=${goalkeeper}&defenders=${defenders}&strickers=${stricers}&bodyPart=4${bodyPart}&technique=${technique}&actionType=${actionType}&shooterPossition=${shooterPossition}`).then(
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fetch(`http://127.0.0.1:5000/get_model?shooter=${shooter}&goalkeeper=${goalkeeper}&defenders=${defenders}&strickers=${stricers}&bodyPart=${bodyPart}&technique=${technique}&actionType=${actionType}&shooterPossition=${shooterPossition}`).then(
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res => res.json()
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).then(
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data => {
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@ -307,11 +277,11 @@ const Hero = () => {
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//dodanie zawodnika do listy oraz punktu do mapy w zaleznosci od aktywnosci przycisku 1,2,3 lub 4
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if(active_bbt=="bbt1"){
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if(numer_od_shooters < 1 ){
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if(number_of_shooters < 1 ){
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addPlayer(0,ball)
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bojo.appendChild(ball)
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ball.style.background = "#fc0303"
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numer_od_shooters = numer_od_shooters + 1
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setNumberOfShooters(number_of_shooters+1)
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}else{alert("mozesz dodac tylko jednego strzelca")}
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}else if(active_bbt == "bbt2"){
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@ -319,19 +289,19 @@ const Hero = () => {
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addPlayer(1,ball)
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bojo.appendChild(ball)
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ball.style.background = "#03e7fc"
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number_of_goalkeepers = number_of_goalkeepers + 1
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setNumberOfGoalkeppers(number_of_goalkeepers+1)
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}else{alert("mozesz dodac tylko jednego bramkarza")}
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}else if(active_bbt == "bbt3"){
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if(number_of_defenders <= 10){
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addPlayer(2,ball);
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number_of_defenders = number_of_defenders +1;
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setNumberOfDevenders(number_of_defenders+1)
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bojo.appendChild(ball)
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ball.style.background = "#0324fc"
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}else{alert("maksymalna liczba obroncow")}
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}else if(active_bbt == "bbt4"){
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if(number_of_strikers <= 10){
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addPlayer(3,ball);
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number_of_strikers = number_of_strikers + 1;
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setNumberOfStrikers(number_of_strikers+1);
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bojo.appendChild(ball)
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ball.style.background = "#fc6703"
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}else{alert("maksymalna liczba napastnikow")}
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@ -369,17 +339,22 @@ const Hero = () => {
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<div className="top-bar">
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<form className="dropdown" id = "bodyPartList">
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<select className="dropbtn">
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<select className="dropbtn"
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onChange={event => setBodyPart(event.target.value)}
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defaultValue={bodyPart}>
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<option value = "prawa">Noga Prawa</option>
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<option value = "lewa">Noga Lewa</option>
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<option value = "glowa">Głowa</option>
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<option value = "inna" >Inna</option>
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</select>
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</select>
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</form>
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<form className="dropdown" id = "shootTypeList">
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<select className="dropbtn">
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<select className="dropbtn" onChange={event => setTechnique(event.target.value)}
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defaultValue = {technique}>
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<option value="zwykly"> Zwykły </option>
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<option value = "voley"> Wolej </option>
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<option value = "pol-voley"> Półwolej </option>
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@ -390,8 +365,8 @@ const Hero = () => {
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</select>
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</form>
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<form className="dropdown" id = "actionTypeList">
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<form className="dropdown" id = "actionTypeList" onChange={event => setActionType(event.target.value)}
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defaultValue={technique}>
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<select className="dropbtn">
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<option value = "pozycyjny"> Atak Pozycyjny </option>
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<option value = "wolny"> Rzut Wolny </option>
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@ -400,9 +375,9 @@ const Hero = () => {
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<option value="rozpoczecie"> Rozpoczęcie </option>
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</select>
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</form>
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<form className="dropdown" id = "possitionList">
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<form className="dropdown" id = "possitionList"
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onChange={event => setPossition(event.target.value)}
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defaultValue={shooterPossition}>
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<select className="dropbtn">
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<option value= "napastnik" > Napastnik </option>
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<option value = "bramkarz"> Bramkarz </option>
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Binary file not shown.
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@ -1,6 +1,7 @@
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from joblib import load
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import pandas as pd
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from math import sqrt
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import math
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# Funkcja zwraca prawdopodobieństwo zdobycia gola
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def LogisticRegression_predict_proba(position_x, position_y, distance_to_goalM, angle, match_minute, Number_Intervening_Opponents, Number_Intervening_Teammates, isFoot, isHead):
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@ -89,25 +90,22 @@ def xgboost_predict_proba(minute, position_name, shot_body_part_name, shot_techn
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#XgBoost_2
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def xgboost_predict_proba_v2(minute, position_name, shot_body_part_name, shot_technique_name,
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shot_type_name, shot_first_time, shot_one_on_one,
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shot_aerial_won, shot_deflected, shot_open_goal,
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shot_follows_dribble, shot_redirect, x1, y1,
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number_of_players_opponents, number_of_players_teammates,
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angle, distance):
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model = load('xgboost.joblib')
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X_new = pd.DataFrame(columns=['minute', 'position_name', 'shot_body_part_name', 'shot_technique_name',
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'shot_type_name', 'shot_first_time', 'shot_one_on_one',
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'shot_aerial_won', 'shot_deflected', 'shot_open_goal',
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'shot_follows_dribble', 'shot_redirect', 'x1', 'y1',
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'number_of_players_opponents', 'number_of_players_teammates',
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'angle', 'distance', 'x_player_opponent_Goalkeeper',
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'x_player_opponent_8', 'x_player_opponent_1', 'x_player_opponent_2',
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'x_player_opponent_3', 'x_player_teammate_1', 'x_player_opponent_4',
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'x_player_opponent_5', 'x_player_opponent_6', 'x_player_teammate_2',
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'x_player_opponent_9', 'x_player_opponent_10', 'x_player_opponent_11',
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'x_player_teammate_3', 'x_player_teammate_4', 'x_player_teammate_5',
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def xgboost_predict_proba_v2(shooter,goalkeeper,teamMatesList,opponentsList, minute,position_name,shot_body_part_name,
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shot_technique_name,shot_type_name,shot_first_time,shot_aerial_won,shot_deflected,shot_open_goal,
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shot_follows_dribble,shot_redirect, shot_kick_off):
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model = load('xgboost.joblib')
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X_new = pd.DataFrame(columns=['minute', 'position_name', 'shot_body_part_name',
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'shot_technique_name','shot_type_name', 'shot_first_time',
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'shot_one_on_one','shot_aerial_won', 'shot_deflected',
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'shot_open_goal','shot_follows_dribble', 'shot_redirect',
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'x1', 'y1','number_of_players_opponents',
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'number_of_players_teammates','angle', 'distance',
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'x_player_opponent_Goalkeeper',
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'x_player_opponent_1', 'x_player_opponent_2','x_player_opponent_3',
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'x_player_opponent_4','x_player_opponent_5', 'x_player_opponent_6',
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'x_player_teammate_2','x_player_opponent_9', 'x_player_opponent_10',
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'x_player_opponent_11','x_player_teammate_1',
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'x_player_teammate_3', 'x_player_teammate_4','x_player_teammate_5',
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'x_player_teammate_6', 'x_player_teammate_7', 'x_player_teammate_8',
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'x_player_teammate_9', 'x_player_teammate_10',
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'y_player_opponent_Goalkeeper', 'y_player_opponent_8',
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@ -120,32 +118,100 @@ def xgboost_predict_proba_v2(minute, position_name, shot_body_part_name, shot_te
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'y_player_teammate_10', 'x_player_opponent_7', 'y_player_opponent_7',
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'x_player_teammate_Goalkeeper', 'y_player_teammate_Goalkeeper',
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'shot_kick_off'])
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X_new.loc[len(X_new.index)] = [minute, position_name, shot_body_part_name, shot_technique_name,
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shot_type_name, shot_first_time, shot_one_on_one,
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shot_aerial_won, shot_deflected, shot_open_goal,
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shot_follows_dribble, shot_redirect, x1, y1,
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number_of_players_opponents, number_of_players_teammates,
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angle, distance, x_player_opponent_Goalkeeper,
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x_player_opponent_8, x_player_opponent_1, x_player_opponent_2,
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x_player_opponent_3, x_player_teammate_1, x_player_opponent_4,
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x_player_opponent_5, x_player_opponent_6, x_player_teammate_2,
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x_player_opponent_9, x_player_opponent_10, x_player_opponent_11,
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x_player_teammate_3, x_player_teammate_4, x_player_teammate_5,
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x_player_teammate_6, x_player_teammate_7, x_player_teammate_8,
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x_player_teammate_9, x_player_teammate_10,
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y_player_opponent_Goalkeeper, y_player_opponent_8,
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y_player_opponent_1, y_player_opponent_2, y_player_opponent_3,
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y_player_teammate_1, y_player_opponent_4, y_player_opponent_5,
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y_player_opponent_6, y_player_teammate_2, y_player_opponent_9,
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y_player_opponent_10, y_player_opponent_11, y_player_teammate_3,
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y_player_teammate_4, y_player_teammate_5, y_player_teammate_6,
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y_player_teammate_7, y_player_teammate_8, y_player_teammate_9,
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y_player_teammate_10, x_player_opponent_7, y_player_opponent_7,
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shooter = konwertujDoListy(shooter)
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teamMatesList = konwertujDoListy(teamMatesList)
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opponentsList = konwertujDoListy(opponentsList)
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goalkeeper = konwertujDoListy(goalkeeper)
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# obliczenie katu oraz odleglosci
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angle = loc2angle(x = shooter[0], y = shooter[1])
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print("kat: " + str(angle))
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distance = loc2distance(x = shooter[0], y = shooter[1])
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print("dystans: " + str(distance))
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#Sortowanie list zawodnikow
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teamMatesList = sortNearestToShooter(teamMatesList,shooter= shooter)
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opponentsList = sortNearestToShooter(opponentsList, shooter=shooter)
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# Obliczenie ilosci zawosników
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teamMatesList = zmienWMaciez(teamMatesList)
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opponentsList = zmienWMaciez(opponentsList)
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number_of_players_opponents = len(teamMatesList)
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number_of_players_teammates = len(opponentsList)
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# Bramkarz
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x_player_opponent_Goalkeeper = goalkeeper[0]
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y_player_opponent_Goalkeeper = goalkeeper[1]
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# Uproszczona funkcja trzeba rozbudowac
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shot_one_on_one = True if number_of_players_opponents == 1 else False
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# TeamMate goalkeppe
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x_player_teammate_Goalkeeper = None
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y_player_teammate_Goalkeeper = None
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#Reszta Zawodnikow
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print("AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA")
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print(X_new.head)
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X_new.loc[len(X_new.index)] = [minute, position_name, shot_body_part_name,
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shot_technique_name,shot_type_name, shot_first_time,
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shot_one_on_one,shot_aerial_won, shot_deflected,
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shot_open_goal,shot_follows_dribble, shot_redirect,
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shooter[0], shooter[1],number_of_players_opponents,
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number_of_players_teammates,angle, distance,
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x_player_opponent_Goalkeeper,
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opponentsList[0][0], opponentsList[1][0], opponentsList[2][0],
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opponentsList[3][0], opponentsList[4][0], opponentsList[5][0],
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opponentsList[6][0], opponentsList[7][0], teamMatesList[8][0],
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opponentsList[9][0], opponentsList[10][0],
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teamMatesList[0][0], teamMatesList[1][0], teamMatesList[2][0],
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teamMatesList[3][0], teamMatesList[4][0], teamMatesList[5][0],
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teamMatesList[6][0], teamMatesList[7][0],teamMatesList[8][0],
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teamMatesList[9][0],
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y_player_opponent_Goalkeeper,
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opponentsList[0][1], opponentsList[1][1], opponentsList[2][1],
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opponentsList[3][1], opponentsList[4][1],opponentsList[5][1],
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opponentsList[6][1], opponentsList[7][1], opponentsList[8][1],
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opponentsList[9][1], opponentsList[10][1],
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teamMatesList[0][1],teamMatesList[1][1], teamMatesList[2][1],
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teamMatesList[4][1],teamMatesList[5][1], teamMatesList[6][1], teamMatesList[7][1],
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teamMatesList[8][1], teamMatesList[9][1],
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x_player_teammate_Goalkeeper, y_player_teammate_Goalkeeper,
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shot_kick_off]
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return model.predict_proba(X_new)[0][1].round(2)
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return model.predict_proba(X_new)[0][1].round(2)
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# Pomocnicze Funkcje
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def sortNearestToShooter(playerList, shooter):
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|
||||
return playerList
|
||||
|
||||
|
||||
def loc2distance(x, y):
|
||||
return math.sqrt(x**2 + (y - 34)**2)
|
||||
|
||||
def loc2locdistance(x1, y1, x2, y2):
|
||||
return math.sqrt((x1 - x2)**2 + (y1 - y2)**2)
|
||||
|
||||
def loc2angle(x, y):
|
||||
rads = math.atan(7.32 * x / (x**2 + (y - 34)**2 - (7.32/2)**2))
|
||||
rads = math.pi + rads if rads < 0 else rads
|
||||
deg = math.degrees(rads)
|
||||
return deg
|
||||
|
||||
def konwertujDoListy(listaString):
|
||||
listaString = listaString.split(",")
|
||||
listaFloat = []
|
||||
for elem in listaString:
|
||||
listaFloat.append(float(elem))
|
||||
return listaFloat
|
||||
|
||||
def zmienWMaciez(lista):
|
||||
maciez = []
|
||||
for i in range(0,len(lista),2):
|
||||
player = [lista[i],lista[i+1]]
|
||||
maciez.append(player)
|
||||
if(len(maciez) < 10):
|
||||
for i in range(len(maciez),11,1):
|
||||
maciez.append([None,None])
|
||||
return maciez
|
||||
|
|
@ -0,0 +1,48 @@
|
|||
from modele import zmienWMaciez,xgboost_predict_proba_v2,konwertujDoListy
|
||||
|
||||
|
||||
#zmien maciez test
|
||||
'''
|
||||
lista = [2,3,43,12,323,12,23,43,54,90]
|
||||
print(zmienWMaciez(lista))
|
||||
lista = zmienWMaciez(lista)
|
||||
print(lista[3][0])
|
||||
print(lista[3][1])
|
||||
print(lista[0][0])
|
||||
'''
|
||||
|
||||
'''
|
||||
string = "49.27,49.73,48.49,34.75,19.95,28.44"
|
||||
|
||||
string = konwertujDoListy(string)
|
||||
print(string)
|
||||
print(string[3])
|
||||
|
||||
string = zmienWMaciez(string)
|
||||
print(string)
|
||||
'''
|
||||
'''
|
||||
a = ['minute', 'position_name', 'shot_body_part_name', 'shot_technique_name',
|
||||
'shot_type_name', 'shot_first_time', 'shot_one_on_one',
|
||||
'shot_aerial_won', 'shot_deflected', 'shot_open_goal',
|
||||
'shot_follows_dribble', 'shot_redirect', 'x1', 'y1',
|
||||
'number_of_players_opponents', 'number_of_players_teammates',
|
||||
'angle', 'distance', 'x_player_opponent_Goalkeeper',
|
||||
'x_player_opponent_1', 'x_player_opponent_2','x_player_opponent_3', 'x_player_opponent_4',
|
||||
'x_player_opponent_5', 'x_player_opponent_6', 'x_player_teammate_2',
|
||||
'x_player_opponent_9', 'x_player_opponent_10', 'x_player_opponent_11','x_player_teammate_1'
|
||||
'x_player_teammate_3', 'x_player_teammate_4', 'x_player_teammate_5',
|
||||
'x_player_teammate_6', 'x_player_teammate_7', 'x_player_teammate_8',
|
||||
'x_player_teammate_9', 'x_player_teammate_10',
|
||||
'y_player_opponent_Goalkeeper', 'y_player_opponent_8',
|
||||
'y_player_opponent_1', 'y_player_opponent_2', 'y_player_opponent_3',
|
||||
'y_player_teammate_1', 'y_player_opponent_4', 'y_player_opponent_5',
|
||||
'y_player_opponent_6', 'y_player_teammate_2', 'y_player_opponent_9',
|
||||
'y_player_opponent_10', 'y_player_opponent_11', 'y_player_teammate_3',
|
||||
'y_player_teammate_4', 'y_player_teammate_5', 'y_player_teammate_6',
|
||||
'y_player_teammate_7', 'y_player_teammate_8', 'y_player_teammate_9',
|
||||
'y_player_teammate_10', 'x_player_opponent_7', 'y_player_opponent_7',
|
||||
'x_player_teammate_Goalkeeper', 'y_player_teammate_Goalkeeper',
|
||||
'shot_kick_off']
|
||||
print(len(a))
|
||||
'''
|
||||
|
|
@ -1,32 +1,12 @@
|
|||
from flask import Flask, request, jsonify
|
||||
from flask_cors import CORS
|
||||
from modele.modele import LogisticRegression_predict_proba, xgboost_predict_proba, xgboost_predict_proba_v2
|
||||
import math
|
||||
|
||||
app = Flask(__name__)
|
||||
|
||||
CORS(app)
|
||||
app.config['CORS_HEADERS'] = 'Content-Type'
|
||||
|
||||
def loc2angle(x, y):
|
||||
rads = math.atan(7.32 * x / (x**2 + (y - 34)**2 - (7.32/2)**2))
|
||||
rads = math.pi + rads if rads < 0 else rads
|
||||
deg = math.degrees(rads)
|
||||
return deg
|
||||
|
||||
def loc2distance(x, y):
|
||||
return math.sqrt(x**2 + (y - 34)**2)
|
||||
|
||||
def loc2locdistance(x1, y1, x2, y2):
|
||||
return math.sqrt((x1 - x2)**2 + (y1 - y2)**2)
|
||||
|
||||
#Konwertuje string zawierajacy liczby odzielone , i konwertuje do float
|
||||
def konwertujDoListy(listaString):
|
||||
listaString = listaString.split(",")
|
||||
listaFloat = []
|
||||
for elem in listaString:
|
||||
listaFloat.append(float(elem))
|
||||
return listaFloat
|
||||
# zapytanie o regresje logistyczną na podstawie pozycji piłki
|
||||
|
||||
# @app.route("/LRegresion<x>&<y>")
|
||||
|
|
@ -35,21 +15,13 @@ def get_model():
|
|||
|
||||
# Pozycja strzelca
|
||||
shooter = request.args.get('shooter')
|
||||
shooter = konwertujDoListy(shooter)
|
||||
|
||||
print("wprowadzone dane:")
|
||||
print("x strzelca: " + str(shooter[0]))
|
||||
print("y strzelca: " + str(shooter[1]))
|
||||
print("strzelec: " + shooter)
|
||||
|
||||
if shooter[0] is None and shooter[1] is None:
|
||||
return jsonify({"error": "Brak wymaganych parametrów"}), 400
|
||||
# Kąt oraz dystans od bramki
|
||||
angle = loc2angle(x = shooter[0], y = shooter[1])
|
||||
dist = loc2distance(x = shooter[0], y = shooter[1])
|
||||
|
||||
print("kąt: " + str(angle))
|
||||
print("dystans: " + str(dist) )
|
||||
|
||||
|
||||
# Elementy z list: czesc ciała,rodzaj uderzenia,pozycja strzelca oraz typ akcji
|
||||
|
||||
position_name = request.args.get('shooter')
|
||||
|
|
@ -66,28 +38,27 @@ def get_model():
|
|||
|
||||
teamMatesList = request.args.get('defenders')
|
||||
opponentsList = request.args.get('strickers')
|
||||
|
||||
teamMatesList = konwertujDoListy(teamMatesList)
|
||||
opponentsList = konwertujDoListy(opponentsList)
|
||||
|
||||
print("wspolrzedne obroncow: " + teamMatesList)
|
||||
print("wspolrzedne przeciwnikow: " + opponentsList)
|
||||
|
||||
|
||||
# Bramkarz
|
||||
goalkepper = request.args.get('goalkeeper')
|
||||
goalkepper = konwertujDoListy(goalkepper)
|
||||
goalkepper = "2,2"
|
||||
#goalkepper = request.args.get('goalkeeper')
|
||||
|
||||
print("bramkarz: " + str(goalkepper) )
|
||||
|
||||
|
||||
response = xgboost_predict_proba_v2(minute = 20, position_name = position_name, shot_body_part_name = body_part, shot_technique_name = technique,
|
||||
response = xgboost_predict_proba_v2(shooter = shooter,
|
||||
opponentsList = opponentsList, teamMatesList = teamMatesList ,minute = 20, position_name = position_name, shot_body_part_name = body_part, shot_technique_name = technique,
|
||||
shot_type_name = acionType, shot_first_time = False,
|
||||
shot_aerial_won = False, shot_deflected = False, shot_open_goal = False,
|
||||
shot_follows_dribble = False, shot_redirect = False, shooter = shooter,
|
||||
opponentsList = opponentsList, teamMatesList = teamMatesList,
|
||||
angle = angle, distance = dist)
|
||||
shot_follows_dribble = False, shot_redirect = False, shot_kick_off = False, goalkeeper= goalkepper
|
||||
)
|
||||
|
||||
#print(response)
|
||||
res = str(response)
|
||||
#return {"response":res}
|
||||
#return {"response":res}
|
||||
return jsonify({"response":res})
|
||||
|
||||
""""
|
||||
|
|
|
|||
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Reference in New Issue