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from Source.Predict import predict | |
from flask import Flask, render_template, jsonify, request | |
import requests | |
import pandas as pd | |
import numpy as np | |
# update past picks | |
try: | |
predict.update_past_predictions() | |
except KeyError as e: | |
print("Couldn't update past predictions.") | |
# get week, season | |
week, season = predict.get_week() | |
app = Flask(__name__) | |
app.secret_key = 'green-flounder' | |
games = predict.get_games()[['Date','Away Team','Home Team']] | |
def index(): | |
return render_template('index.html') | |
def get_games(): | |
return jsonify(games.to_dict(orient='records')) | |
def submit_games(): | |
data = request.json | |
data = pd.DataFrame(data).replace('', np.nan).dropna() | |
home_teams = data['HomeTeam'].values | |
away_teams = data['AwayTeam'].values | |
ou_lines = data['OverUnderLine'].values | |
moneylines = [] | |
over_unders = [] | |
for home,away,total in zip(home_teams,away_teams,ou_lines): | |
moneyline, over_under = predict.predict(home,away,season,week,total) | |
moneylines.append(moneyline) | |
over_unders.append(over_under) | |
return jsonify({'moneylines': moneylines, | |
'over_unders': over_unders}) | |
if __name__ == '__main__': | |
app.run(host='0.0.0.0', port='7860') |