LSR/main.py

from fcl_parser import FCLParser
import skfuzzy.control as ctrl
import pandas as pd

teams = pd.read_csv('teams_list.csv')
matches = pd.read_csv('matches_list.csv')

not_in_df = ['Podbeskidzie']
matches_input = []
for i in range(0,matches.shape[0]):
    team1 = matches['Team1'][i][:-1]
    team2 = matches['Team2'][i][1:-1]
    gameweek = matches['Gameweek'][i]
    if((team1 not in not_in_df) and (team2 not in not_in_df)):
        try:
            form_1 = teams.loc[ (teams['Team'] == team1) & (teams['Gameweek'] == gameweek)].Form.values[0]
            temp_1 = teams.loc[ (teams['Team'] == team1) & (teams['Gameweek'] == gameweek)].Points.values[0]
            form_2 = teams.loc[ (teams['Team'] == team2) & (teams['Gameweek'] == gameweek)].Form.values[0]
            temp_2 = teams.loc[ (teams['Team'] == team2) & (teams['Gameweek'] == gameweek)].Points.values[0]
        except:
            print(team1 + team2 + str(gameweek))

        points = temp_1 - temp_2

        temp = teams.loc[ (teams['Team'] == team1) & (teams['Gameweek'] == gameweek)].Result.values[0]
        ground_truth = 0
        if(temp == 'W'):
            ground_truth = -1
        elif(temp == 'D'):
            ground_truth = 0
        else:
            ground_truth = 1
        matches_input.append([form_1, form_2, points, ground_truth])

p = FCLParser()    # Create the parser
p.read_fcl_file('worker.fcl')

cs1 = ctrl.ControlSystem(p.rules)
module = ctrl.ControlSystemSimulation(cs1)
predictions = []
for i in range(0,matches.shape[0]):
    module.input['form1'] = matches_input[i][0]
    module.input['form2'] = matches_input[i][1]
    module.input['points'] = matches_input[i][2]
    module.compute()
    x = module.output['result']
    x = float("{:.4f}".format(x))

    #y = int(round(x))
    if x > 0.2:
        y = 1
    elif x < -0.2:
        y = -1
    else:
        y = 0
    predictions.append(y)
    print("|FCL: " +str(x) + "|ROUND: " + str(y) + "|GROUND: " + str(matches_input[i][3]) + "|PKT DIFFERENCE: " + str(matches_input[i][2])+'|')

num = 0
cor = 0
for i in range(0,matches.shape[0]):
    if(predictions[i]==matches_input[i][3]):
        cor+=1
        num+=1
    else:
        num+=1
print(float(cor/num))