fintic-tracker/database_caller.py

# Copyright (C) 2020 Fintic, finticofficial@gmail.com
#
# This file is part of Fintic project, developed by Neythen Treloar and Justin Dunn
#
# This code can not be copied and/or distributed without the express
# permission of Fintic

import random
import pickle
import finnhub
import time
import csv
import pytz
from datetime import datetime, timedelta
import subprocess
import json
import urllib.request
import datetime as dt
import sys, os, base64, hashlib, hmac, select
import requests
from pycoingecko import CoinGeckoAPI
from newsapi import NewsApiClient
import traceback 
from geopy import geocoders 
from multiprocessing import Process

try:
    time.sleep(80)
    f = open('csv/last_updates.json', 'r')
    last_updates = json.load(f)
    f.close()
    last_updates['stocks']['force'] = True
    last_updates['prepost']['force'] = True
    last_updates['sports_l']['force'] = True
    last_updates['market']['force'] = True
    f = open('csv/last_updates.json', 'w')
    json.dump(last_updates, f)
    f.close()    
except:
    pass

try:
    f = open('csv/scheduler.json', 'r')
    schedules = json.load(f)
    f.close()
    
    shutdown_schedule_hour = schedules['shutdown']['hour']
    shutdown_schedule_minute = schedules['shutdown']['minute']
    
    reboot_schedule_hour = schedules['reboot']['hour']
    reboot_schedule_minute = schedules['reboot']['minute']
    
    timezone = schedules['timezone']
    shutdown_enabled = schedules['shutdown']['enabled']
    reboot_enabled = schedules['reboot']['enabled']
except:
    shutdown_schedule_hour = "00"
    shutdown_schedule_minute = "00"
    
    reboot_schedule_hour = "00"
    reboot_schedule_minute = "00"
    
    timezone = "GMT"
    shutdown_enabled = False
    reboot_enabled = False


def getInput(Block=False):
    if Block or select.select([sys.stdin], [], [], 0) == ([sys.stdin], [], []):
        msg = sys.stdin.read(1)
        #sys.stdin.flush()
    else:
        msg = ''
    return msg

def emptyInfo(symbols, stock_info):
    update = False
    for symbol in symbols:
        if stock_info[symbol] == -1: # stock with no info
            update = True
    return update
    
def updateUpdate(NY_time):
    NY_str = NY_time.strftime("%d/%m/%Y %H:%M:%S")
    f = open('csv/last_update.csv', 'w+')
    f.write(NY_str + '\n')
    f.close()



# def updateStocks(api_key, logf):
#     try:
#         f = open('csv/stocks_settings.json', 'r')
#         all_stocks_settings = json.load(f)
#         f.close()
#         stock_info = all_stocks_settings['symbols']
#         symbols = list(stock_info.keys())
     
#         url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/stocks?symbols='
        
#         for symbol in symbols:
#             url += symbol + ','
            
#         url += '&apiKey=' + api_key
#         response = requests.get(url)
#         data = response.json()
        
#        # stock_info = {}
#         if len(data) > 0:
#             for symbol in symbols:
#                 for stock in data:
#                     if stock['symbol'] == symbol:
#                         stock_info[stock['symbol']] = {'current': stock['price'], 'change': stock['change_since'], 'percent_change':stock['percent']}
                    
#             all_stocks_settings['symbols'] = stock_info
#             f = open('csv/stocks_settings.json', 'w+')
#             json.dump(all_stocks_settings, f)
#             f.close()
        
#     except:
#         pass
        #logf = open('log.txt', "a")
        #exc_type, exc_obj, exc_tb = sys.exc_info()
        #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
        #logf.write(str(e))
        #logf.write('. file: ' + fname)
        #logf.write('. line: ' +  str(exc_tb.tb_lineno))
        #logf.write('. type: ' +  str(exc_type))
        #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
        #logf.close()

        
def getCookiesnCrumb():

    headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'}
    cookie_url = 'https://finance.yahoo.com'
    crumb_url = 'https://query1.finance.yahoo.com/v1/test/getcrumb'

    session = requests.Session()
    session.get(cookie_url, headers=headers)
    crumb = session.get(crumb_url, headers=headers).content.decode('utf-8')

    with open('session.txt', 'wb') as f:
        pickle.dump(session, f)
    with open('crumb.txt', 'w') as f:
        f.write(crumb)


def human_format(num):
    num = float('{:.3g}'.format(num))
    magnitude = 0
    while abs(num) >= 1000:
        magnitude += 1
        num /= 1000.0
    return '{}{}'.format('{:f}'.format(num).rstrip('0').rstrip('.'), ['', 'K', 'M', 'B', 'T'][magnitude])


def updateStocks(api_key, logf):
   
    try:
        try:
            f = open('csv/stocks_settings.json', 'r')
            all_stocks_settings = json.load(f)
            f.close()
        except:
            all_stocks_settings = {"feature": "Stocks", "speed": "medium", "speed2": "medium", "animation": "down", "percent": False, "point": True, "logos": True, "chart": False, "title": True, "symbols": {"AAPL": {"current": "164.02", "change": "-1.59", "percent_change": "-0.97"}, "MSFT": {"current": "288.29", "change": "-1.32", "percent_change": "-0.46"}, "GOOG": {"current": "2586.74", "change": "-34.01", "percent_change": "-1.31"}, "NFLX": {"current": "380.52", "change": "-7.59", "percent_change": "-1.99"}}, "prepost": False, "lohivol": False}

        stock_info = all_stocks_settings['symbols']
        symbols = list(stock_info.keys())
     
        headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'}

        # url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/stocks?symbols='
        url1 = 'https://query1.finance.yahoo.com/v7/finance/quote?fields=regularMarketPrice,regularMarketChangePercent,regularMarketChange,regularMarketDayHigh,regularMarketDayLow,regularMarketVolume&region=US&lang=en-US&symbols='
        url2 = 'https://cloud.iexapis.com/v1/stock/market/batch?&types=quote&token=pk_aff870df1a984daa9dd43c71801c1936&symbols='
        url = random.choice([url1, url2])

        for symbol in symbols:
            url += symbol + ','
        # url += '&apiKey=' + api_key
       
        if 'cloud.iexapis.com' in url:
            response = requests.get(url, headers=headers)
            data = response.json()
            if len(data) > 0:
                for symbol in symbols:
                    try:
                        stock_info[data[symbol]['quote']['symbol']] = {'current': str(data[symbol]['quote']['latestPrice']), 'change': str(data[symbol]['quote']['change']), 'percent_change': str(data[symbol]['quote']['changePercent'] * 100), 'day_low': str(data[symbol]['quote']['low']), 'day_high': str(data[symbol]['quote']['high']), 'volume': str(human_format(data[symbol]['quote']['latestVolume']))}
                    except:
                        pass
                all_stocks_settings['symbols'] = stock_info
                with open('csv/stocks_settings.json', 'w+') as f:
                    json.dump(all_stocks_settings, f)

        elif 'query1.finance.yahoo.com/v7' in url:
            url = url.replace('BRK.A', 'BRK-A').replace('BRK.B', 'BRK-B')
            response = requests.get(url, headers=headers)
            data = response.json()
            if "'error': {'code'" in str(data):        
                while True:
                    try:
                        with open('session.txt', 'rb') as f:
                            session = pickle.load(f)
                        with open('crumb.txt', 'r') as f:
                            crumb = f.read()
                    except:
                        getCookiesnCrumb()
                        with open('session.txt', 'rb') as f:
                            session = pickle.load(f)
                        with open('crumb.txt', 'r') as f:
                            crumb = f.read()
                    params = {'crumb': crumb}

                    data = session.get(url, headers=headers, params=params).json()

                    if "'error': {'code'" not in str(data):
                        break
                    else:
                        getCookiesnCrumb()
                        time.sleep(5)
           # stock_info = {}
            if len(data) > 0:
                for symbol in symbols:
                    try:
                        for stock in data['quoteResponse']['result']:
                            if stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B') == symbol:
                                stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')] = {'current': str(stock['regularMarketPrice']), 'change': str(stock['regularMarketChange']), 'percent_change': str(stock['regularMarketChangePercent']), 'day_low': str(stock['regularMarketDayLow']), 'day_high': str(stock['regularMarketDayHigh']), 'volume': str(human_format(stock['regularMarketVolume']))}
                    except:
                        pass
                all_stocks_settings['symbols'] = stock_info
                with open('csv/stocks_settings.json', 'w+') as f:
                    json.dump(all_stocks_settings, f)
    except:
        pass
        #logf = open('log.txt', "a")
        #exc_type, exc_obj, exc_tb = sys.exc_info()
        #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
        #logf.write(str(e))
        #logf.write('. file: ' + fname)
        #logf.write('. line: ' +  str(exc_tb.tb_lineno))
        #logf.write('. type: ' +  str(exc_type))
        #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
        #logf.close()
        

def updateStocksPrePost(api_key, logf):
    try:
        f = open('csv/stocks_settings.json', 'r')
        all_stocks_settings = json.load(f)
        f.close()
        stock_info = all_stocks_settings['symbols']
        symbols = list(stock_info.keys())

        #KEEP THIS JUST IN CASE V7 GOES DOWN prepost_url = 'https://query2.finance.yahoo.com/v6/finance/quote?symbols='
        prepost_url = 'https://query2.finance.yahoo.com/v6/finance/quote?symbols='
        for symbol in symbols:
            prepost_url += symbol + ','

        prepost_url += '&fields=regularMarketPreviousClose,regularMarketPrice,preMarketPrice,preMarketChangePercent,regularMarketChangePercent,regularMarketChange,preMarketChange,postMarketPrice,postMarketChange,postMarketChangePercent&region=US&lang=en-US'

        headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'}

        prepost = requests.get(prepost_url.replace('BRK.A', 'BRK-A').replace('BRK.B', 'BRK-B'), headers=headers).json()
        if "'error': {'code'" in str(prepost):        
            while True:
                try:
                    with open('session.txt', 'rb') as f:
                        session = pickle.load(f)
                    with open('crumb.txt', 'r') as f:
                        crumb = f.read()
                except:
                    getCookiesnCrumb()
                    with open('session.txt', 'rb') as f:
                        session = pickle.load(f)
                    with open('crumb.txt', 'r') as f:
                        crumb = f.read()
                params = {'crumb': crumb}

                prepost = session.get(prepost_url.replace('v6','v7').replace('BRK.A', 'BRK-A').replace('BRK.B', 'BRK-B'), headers=headers, params=params).json()

                if "'error': {'code'" not in str(prepost):
                    break
                else:
                    getCookiesnCrumb()
                    time.sleep(5)
        
        prepost_data = prepost['quoteResponse']['result']
        time_now = datetime.now(pytz.timezone('America/New_York')).strftime("%H:%M EST")

        if len(prepost_data) > 0:
            for symbol in symbols:
                try:
                    for stock in prepost_data:
                        if stock['symbol'] == symbol:
                            stock_info[stock['symbol']] = {"time_now":time_now}
                            try:
                                stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')]['Pre-market'] = {'preprice': '%.2f' % stock['preMarketPrice'],
                                                           'prechange': '%.2f' % stock['preMarketChange'],
                                                           'prepercent': '%.2f' % stock['preMarketChangePercent']}
                            except:
                                try:
                                    stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')]['Pre-market'] = {'preprice': '%.2f' % stock['postMarketPrice'],
                                                               'prechange': '%.2f' % 0,
                                                               'prepercent': '%.2f' % 0}                                
                                except:
                                    stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')]['Pre-market'] = {'preprice': '%.2f' % stock['regularMarketPrice'],
                                                               'prechange': '%.2f' % 0,
                                                               'prepercent': '%.2f' % 0}
                            try:
                                stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')]['Post-market'] = {'postprice': '%.2f' % stock['postMarketPrice'],
                                                                          'postchange': '%.2f' % stock['postMarketChange'],
                                                                          'postpercent': '%.2f' % stock['postMarketChangePercent']}
                            except:
                                stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')]['Post-market'] = {'postprice': '%.2f' % stock['regularMarketPrice'],
                                                                          'postchange': '%.2f' % 0,
                                                                          'postpercent': '%.2f' % 0}
                except:
                    pass
                all_stocks_settings['symbols'] = stock_info

            with open('csv/prepost_settings.json', 'w+') as f:
                json.dump(all_stocks_settings['symbols'], f)
    except:
        pass
        
        
def updateCommodities(api_key, logf):
 
    try:
        try:
            f = open('csv/commodities_settings.json', 'r')
            all_commodities_settings = json.load(f)
            f.close()
        except:
            all_commodities_settings = {"feature": "Stocks", "speed": "fast", "speed2": "fast", "animation": "down", "percent": True, "point": True, "logos": True, "chart": False, "title": True, "symbols": {"BRENTOIL": {"current": "123.053", "unit": "bbl", "24hr_change": "1.0150", "percent_change": "0.83"}, "WTIOIL": {"current": "121.588", "unit": "bbl", "24hr_change": "0.8902", "percent_change": "0.74"}, "XAU": {"current": "1821.205", "unit": "oz", "24hr_change": "4.0045", "percent_change": "0.22"}, "XAG": {"current": "21.1034", "unit": "oz", "24hr_change": "-0.0550", "percent_change": "-0.26"}, "XCU": {"current": "0.2633", "unit": "oz", "24hr_change": "-0.0006", "percent_change": "-0.22"}, "NG": {"current": "8.6595", "unit": "mmbtu", "24hr_change": "-0.0236", "percent_change": "-0.27"}, "WHEAT": {"current": "393.123", "unit": "ton", "24hr_change": "-1.2642", "percent_change": "-0.32"}, "COTTON": {"current": "1.4494", "unit": "lb", "24hr_change": "0.0004", "percent_change": "0.03"}, "RICE": {"current": "16.3849", "unit": "cwt", "24hr_change": "0.0093", "percent_change": "0.06"}, "SUGAR": {"current": "0.1866", "unit": "lb", "24hr_change": "-0.0007", "percent_change": "-0.40"}, "COCOA": {"current": "2374.074", "unit": "ton", "24hr_change": "2.5206", "percent_change": "0.11"}, "LUMBER": {"current": "527.842", "unit": "oz", "24hr_change": "0.2641", "percent_change": "0.05"}, "SOYBEAN": {"current": "17.1621", "unit": "bu", "24hr_change": "0.0270", "percent_change": "0.16"}}}
        
        commodity_info = all_commodities_settings['symbols']
        symbols = list(commodity_info.keys())        
        
        url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/commodities?symbols='
        
        for symbol in symbols:
            url += symbol + ','
            
        url += '&apiKey=' + api_key
        response = requests.get(url)
        data = response.json()
      

        commodity_info = {}
        if len(data) > 0:
            for symbol in symbols:
                for commodity in data: 
                    if commodity['symbol'] == symbol:
                        commodity_info[commodity['symbol']] = {'current': commodity['price'], 'unit': commodity['unit'], '24hr_change': commodity['price_over_24hr'], 'percent_change': commodity['percent_over_24hr']}
                   
            all_commodities_settings['symbols'] = commodity_info

            with open('csv/commodities_settings.json', 'w+') as f:
                json.dump(all_commodities_settings, f)
        
    except:
        pass
        
        #logf = open('log.txt', "a")
        #exc_type, exc_obj, exc_tb = sys.exc_info()
        #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
        #logf.write(str(e))
        #logf.write('. file: ' + fname)
        #logf.write('. line: ' +  str(exc_tb.tb_lineno))
        #logf.write('. type: ' +  str(exc_type))
        #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
        #logf.close()
        
    
def updateMovies(api_key, logf):

    try:
        f = open('csv/movie_settings.json', 'r')
        all_settings = json.load(f)
        f.close()
    except:
        all_settings = {"feature": "Movies", "speed": "fast", "speed2": "fast", "animation": "continuous", "category": "Popular All", "title": True, "movies": [{"title": "Avatar: The Way of Water", "language": "EN", "votes": "8.1", "date": "2022-12-14", "media_type": "Movie", "genre": ["Sci-Fi", "Action", "Adventure"], "backdrop": "198vrF8k7mfQ4FjDJsBmdQcaiyq.jpg", "logo": "https://image.tmdb.org/t/p/w500/198vrF8k7mfQ4FjDJsBmdQcaiyq.jpg"}, {"title": "Violent Night", "language": "EN", "votes": "7.3", "date": "2022-11-30", "media_type": "Movie", "genre": ["Action", "Comedy", "Crime", "Thriller"], "backdrop": "g9Kb3RaLjsybI1jpqHQ3QZTCYpB.jpg", "logo": "https://image.tmdb.org/t/p/w500/g9Kb3RaLjsybI1jpqHQ3QZTCYpB.jpg"}, {"title": "Avatar", "language": "EN", "votes": "7.5", "date": "2009-12-15", "media_type": "Movie", "genre": ["Action", "Adventure", "Fantasy", "Sci-Fi"], "backdrop": "Yc9q6QuWrMp9nuDm5R8ExNqbEq.jpg", "logo": "https://image.tmdb.org/t/p/w500/Yc9q6QuWrMp9nuDm5R8ExNqbEq.jpg"}, {"title": "The Banshees of Inisherin", "language": "EN", "votes": "7.7", "date": "2022-10-21", "media_type": "Movie", "genre": ["Drama", "Comedy"], "backdrop": "9Md4CqzUGDtK5oEkRRvozLkGc9d.jpg", "logo": "https://image.tmdb.org/t/p/w500/9Md4CqzUGDtK5oEkRRvozLkGc9d.jpg"}, {"title": "Wednesday", "language": "EN", "votes": "8.8", "date": "2022-11-23", "media_type": "Tv", "genre": ["Sci-Fi & Fantasy", "Mystery", "Comedy"], "backdrop": "iHSwvRVsRyxpX7FE7GbviaDvgGZ.jpg", "logo": "https://image.tmdb.org/t/p/w500/iHSwvRVsRyxpX7FE7GbviaDvgGZ.jpg"}, {"title": "1923", "language": "EN", "votes": "8.8", "date": "2022-12-18", "media_type": "Tv", "genre": ["Drama", "Western"], "backdrop": "9I6LgZ5110ycg4pyobJxGTFWFCF.jpg", "logo": "https://image.tmdb.org/t/p/w500/9I6LgZ5110ycg4pyobJxGTFWFCF.jpg"}, {"title": "The Recruit", "language": "EN", "votes": "7.2", "date": "2022-12-16", "media_type": "Tv", "genre": ["Drama", "Crime"], "backdrop": "rey2eh6752C2UbGYRileKk1PVTo.jpg", "logo": "https://image.tmdb.org/t/p/w500/rey2eh6752C2UbGYRileKk1PVTo.jpg"}, {"title": "Black Adam", "language": "EN", "votes": "7.2", "date": "2022-10-19", "media_type": "Movie", "genre": ["Action", "Fantasy", "Sci-Fi"], "backdrop": "bQXAqRx2Fgc46uCVWgoPz5L5Dtr.jpg", "logo": "https://image.tmdb.org/t/p/w500/bQXAqRx2Fgc46uCVWgoPz5L5Dtr.jpg"}, {"title": "Nanny", "language": "EN", "votes": "5.4", "date": "2022-11-23", "media_type": "Movie", "genre": ["Horror", "Drama"], "backdrop": "nfuPlOK6ywGzKGb0yf7VJKyTFWb.jpg", "logo": "https://image.tmdb.org/t/p/w500/nfuPlOK6ywGzKGb0yf7VJKyTFWb.jpg"}, {"title": "Tom Clancys Jack Ryan", "language": "EN", "votes": "7.7", "date": "2018-08-30", "media_type": "Tv", "genre": ["Action & Adventure", "Drama", "War & Politics"], "backdrop": "6ovk8nrrSmN1ieT14zBAxcHbMU7.jpg", "logo": "https://image.tmdb.org/t/p/w500/6ovk8nrrSmN1ieT14zBAxcHbMU7.jpg"}, {"title": "High Heat", "language": "EN", "votes": "6.5", "date": "2022-12-16", "media_type": "Movie", "genre": ["Action", "Comedy", "Crime"], "backdrop": "gjNM0odqkq5F7V58OjfTxPJ9p9Z.jpg", "logo": "https://image.tmdb.org/t/p/w500/gjNM0odqkq5F7V58OjfTxPJ9p9Z.jpg"}, {"title": "A Not So Merry Christmas", "language": "ES", "votes": "4.8", "date": "2022-12-20", "media_type": "Movie", "genre": ["Comedy"], "backdrop": "8uyJzaiGbiezZ9K48Cy5wXeqnYw.jpg", "logo": "https://image.tmdb.org/t/p/w500/8uyJzaiGbiezZ9K48Cy5wXeqnYw.jpg"}, {"title": "Guillermo del Toros Pinocchio", "language": "EN", "votes": "8.5", "date": "2022-11-09", "media_type": "Movie", "genre": ["Animation", "Fantasy", "Drama"], "backdrop": "e782pDRAlu4BG0ahd777n8zfPzZ.jpg", "logo": "https://image.tmdb.org/t/p/w500/e782pDRAlu4BG0ahd777n8zfPzZ.jpg"}, {"title": "His Dark Materials", "language": "EN", "votes": "8.0", "date": "2019-11-03", "media_type": "Tv", "genre": ["Sci-Fi & Fantasy", "Drama"], "backdrop": "dGOhplPZTL0SKyb0ocTFBHIuKUC.jpg", "logo": "https://image.tmdb.org/t/p/w500/dGOhplPZTL0SKyb0ocTFBHIuKUC.jpg"}, {"title": "The Fabelmans", "language": "EN", "votes": "7.8", "date": "2022-11-11", "media_type": "Movie", "genre": ["Drama", "Comedy"], "backdrop": "6

    if all_settings['category'] == 'Popular Movies':
        url = 'https://api.themoviedb.org/3/trending/movie/day?'
        movieGenre_url = 'https://api.themoviedb.org/3/genre/movie/list?api_key=' + api_key + '&language=en-US'
        movieGenre_response = requests.get(movieGenre_url)
        movie_genres = movieGenre_response.json()

    elif all_settings['category'] == 'Popular TV':
        url = 'https://api.themoviedb.org/3/trending/tv/day?'
        tvGenre_url = 'https://api.themoviedb.org/3/genre/tv/list?api_key=' + api_key + '&language=en-US'
        tvGenre_response = requests.get(tvGenre_url)
        tv_genres = tvGenre_response.json()

    elif all_settings['category'] == 'Popular All':
        url = 'https://api.themoviedb.org/3/trending/all/day?'
        movieGenre_url = 'https://api.themoviedb.org/3/genre/movie/list?api_key=' + api_key + '&language=en-US'
        movieGenre_response = requests.get(movieGenre_url)
        movie_genres = movieGenre_response.json()
        tvGenre_url = 'https://api.themoviedb.org/3/genre/tv/list?api_key=' + api_key + '&language=en-US'
        tvGenre_response = requests.get(tvGenre_url)
        tv_genres = tvGenre_response.json()

    url += 'api_key=' + api_key
    response = requests.get(url)
    data = response.json()

    this_out = []
    logo_files = []

    if len(data) > 0:
        movies = data['results']

        for movie in movies:

            if movie['media_type'] == 'movie':
                movie_id = movie['id']
                box_office_url = 'https://api.themoviedb.org/3/movie/' + str(movie_id) + '?api_key=' + api_key
                box_office_response = requests.get(box_office_url)
                box_office_data = box_office_response.json()
                budget = human_format(box_office_data['budget'])
                revenue = human_format(box_office_data['revenue'])
            else:
                budget = '0'
                revenue = '0'

            movie_language = movie['original_language']
            movie_votes = movie['vote_average']
            movie_votes = "{:.1f}".format(movie_votes)
            try:
                movie_titles = movie['title']
                movie_date = movie['release_date']
            except KeyError:
                movie_titles = movie['name']
                movie_date = movie['first_air_date']
            movie_type = movie['media_type']
            movie_genre = movie['genre_ids']
            movie_logo = 'https://image.tmdb.org/t/p/w500' + movie['backdrop_path']
            genrefinal = []

            if all_settings['category'] == 'Popular Movies':
                for i in movie_genre:
                    for genre in movie_genres['genres']:
                        if genre['name'] == 'Science Fiction':
                            genre['name'] = 'Sci-Fi'
                        if i == genre['id']:
                            i = genre['name']
                            genrefinal.append(i)
            elif all_settings['category'] == 'Popular TV':
                for i in movie_genre:
                    for genre in tv_genres['genres']:
                        if i == genre['id']:
                            i = genre['name']
                            genrefinal.append(i)
            elif all_settings['category'] == 'Popular All':
                if movie['media_type'] == 'movie':
                    for i in movie_genre:
                        for genre in movie_genres['genres']:
                            if genre['name'] == 'Science Fiction':
                                genre['name'] = 'Sci-Fi'
                            if i == genre['id']:
                                i = genre['name']
                                genrefinal.append(i)
                elif movie['media_type'] == 'tv':
                    for i in movie_genre:
                        for genre in tv_genres['genres']:
                            if i == genre['id']:
                                i = genre['name']
                                genrefinal.append(i)

            this_out.append({'title':movie_titles,
                             'language':movie_language.upper(),
                             'votes':str(movie_votes),
                             'date':movie_date,
                             'media_type':movie_type.capitalize(),
                             'genre':genrefinal,
                             'budget':budget,
                             'revenue':revenue,
                             'backdrop':movie['backdrop_path'][1:],
                             'logo': movie_logo
            })

            logo_files.append(movie['backdrop_path'][1:])

            if movie['backdrop_path'][1:] not in os.listdir('logos/movies/'):
                urllib.request.urlretrieve(movie_logo,'logos/movies/' + movie['backdrop_path'])
                time.sleep(0.5)

        for file in os.listdir('logos/movies/'):
            if file not in logo_files:
                os.remove('logos/movies/'+file)

    all_settings['movies'] = this_out

    with open('csv/movie_settings.json', 'w+') as f:
        json.dump(all_settings, f)
 

def updateIpo(api_key, logf):

    day = datetime.now(pytz.utc).strftime("%Y-%m-%d")
    dt = datetime.strptime(day, "%Y-%m-%d")

    start = (dt - timedelta(days=dt.weekday()))
    start_date = start.strftime("%Y-%m-%d")

    end = start + timedelta(days=21)
    end_date = end.strftime("%Y-%m-%d")

    ipo_url = 'https://finnhub.io/api/v1/calendar/ipo?from='+start_date+'&to='+end_date+'&token='+api_key

    try:
        f = open('csv/ipo_settings.json', 'r')
        ipo_settings = json.load(f)
        f.close()
    except:
        ipo_settings = {"feature": "IPO", "speed": "medium", "speed2": "medium", "animation": "down", "title": True, "symbols": ["No Data"]}

    data = requests.get(ipo_url)
    all_ipo = data.json()

    ipo_list = []

    try:
        if len(all_ipo['ipoCalendar']) > 0:
            for ipo in all_ipo['ipoCalendar']:
                try:
                    shares = human_format(ipo['numberOfShares'])
                except:
                    shares = 'N/A'
                try:
                    sharesvalue = human_format(ipo['totalSharesValue'])
                except:
                    sharesvalue = 'N/A'

                ipo_list.append({
                    'date':ipo['date'],
                    'name':ipo['name'],
                    'shares':shares,
                    'price':ipo['price'],
                    'status':ipo['status'],
                    'symbol':ipo['symbol'],
                    'sharesvalue':sharesvalue
                })
        else:
            ipo_list = ['No Data']
    except:
        ipo_list = ['No Data']
            
    ipo_settings['symbols'] = ipo_list
    with open('csv/ipo_settings.json', 'w+') as f:
        json.dump(ipo_settings, f)

        
def updateIndices(api_key, logf):
 
    try:
        try: 
            f = open('csv/indices_settings.json', 'r')
            all_indices_settings = json.load(f)
            f.close()
        except:
            all_indices_settings = {"feature": "Stocks", "speed": "fast", "speed2": "slow", "animation": "up", "percent": True, "point": True, "logos": True, "chart": False, "title": True, "symbols": {"^HSI": {"name": "HSI", "current": "18083.06", "point_change": "1003.55", "percent_change": "5.88"}, "^GSPC": {"name": "S&P 500", "current": "3790.93", "point_change": "112.50", "percent_change": "3.06"}, "^RUT": {"name": "RUSSELL 2000", "current": "1775.77", "point_change": "66.90", "percent_change": "3.91"}, "^GDAXI": {"name": "DAX", "current": "12648.95", "point_change": "-21.53", "percent_change": "-0.17"}, "^FTSE": {"name": "FTSE 100", "current": "7058.68", "point_change": "-27.82", "percent_change": "-0.39"}, "^FCHI": {"name": "CAC 40", "current": "6031.45", "point_change": "-8.24", "percent_change": "-0.14"}, "399001.SZ": {"name": "SZSE", "current": "10778.61", "point_change": "-140.83", "percent_change": "-1.29"}, "^STOXX50E": {"name": "STOXX 50", "current": "3476.55", "point_change": "-7.93", "percent_change": "-0.23"}, "^AXJO": {"name": "ASX 200", "current": "6815.70", "point_change": "116.40", "percent_change": "1.74"}, "^DJI": {"name": "DOW JONES", "current": "30316.32", "point_change": "825.43", "percent_change": "2.80"}, "^STOXX": {"name": "STOXX 600", "current": "402.33", "point_change": "-0.70", "percent_change": "-0.17"}}}
        
        index_info = all_indices_settings['symbols']
        symbols = list(index_info.keys())        
        
        url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/indices?symbols='
        
        for symbol in symbols:
            url += symbol + ','
            
        url += '&apiKey=' + api_key
        response = requests.get(url)
        data = response.json()
      

        index_info = {}
        if len(data) > 0:
            for symbol in symbols:
                for index in data: 
                    if index['symbol'] == symbol:
                        index_info[index['symbol']] = {'name': index['name'], 'current': index['price'], 'point_change': index['change'], 'percent_change': index['percent_change']}
                   
            all_indices_settings['symbols'] = index_info
            with open('csv/indices_settings.json', 'w+') as f:
                json.dump(all_indices_settings, f)
        
    except:
        pass
        
        #logf = open('log.txt', "a")
        #exc_type, exc_obj, exc_tb = sys.exc_info()
        #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
        #logf.write(str(e))
        #logf.write('. file: ' + fname)
        #logf.write('. line: ' +  str(exc_tb.tb_lineno))
        #logf.write('. type: ' +  str(exc_type))
        #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
        #logf.close()
        
        
        
def updateCrypto(api_key, logf):

    try:
        try:
            f = open('csv/crypto_settings.json', 'r')
            all_crypto_settings = json.load(f)
            f.close()
        except:
            all_crypto_settings = {"feature": "Stocks", "speed": "medium","speed2": "medium", "animation": "down", "percent": False, "point": True, "logos": True, "chart": False, "title": True, "lohivol": False, "symbols": {"ETH,USD": {"current": "2629.32", "24hr_change": "-27.6432", "percent_change": "-1.04"}, "BTC,USD": {"current": "38161.00", "24hr_change": "-50.8386", "percent_change": "-0.13"}, "BNB,USD": {"current": "372.57", "24hr_change": "0.4140", "percent_change": "0.11"}, "ADA,BTC": {"current": "0.0000", "24hr_change": "-0.0000", "percent_change": "-3.74"}}}
        
        coin_info = all_crypto_settings['symbols']
        symbol_base = list(coin_info.keys())
        
        symbols = [sb.split(',')[0] for sb in symbol_base]
        bases = [sb.split(',')[1] for sb in symbol_base]
        unique_bases = list(set(bases))
        
        url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/crypto?symbols='
        
        for i,s in enumerate(symbols):
            url += bases[i] + '-' + s + ','
        url = url[:-1] #remove last comma
        url += '&apiKey=' + api_key
   
        response = requests.get(url)
        data = response.json()
    
        coin_info = {}
        if len(data) > 0:
            for sb in symbol_base:
                for i,d in enumerate(data): 
                    
                    symbol = d['symbol']
                    base = d['currency']
                    
                    if symbol.upper() + ',' + base.upper() == sb:
                    
                        coin_info[symbol.upper() + ',' + base.upper()] = {'current': d['price'], '24hr_change': d['price_over_24hr'], 'percent_change': d['percent_over_24hr'], 'volume': human_format(d['volume']), 'day_low': d['day_low'], 'day_high': d['day_high']}
                   
            all_crypto_settings['symbols'] = coin_info
            with open('csv/crypto_settings.json', 'w+') as f:
                json.dump(all_crypto_settings, f)
        
    except:
        pass
        #logf = open('log.txt', "a")
        #exc_type, exc_obj, exc_tb = sys.exc_info()
        #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
        #logf.write(str(e))
        #logf.write('. file: ' + fname)
        #logf.write('. line: ' +  str(exc_tb.tb_lineno))
        #logf.write('. type: ' +  str(exc_type))
        #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
        #logf.close()

def updateForex(api_key, logf):

    try:
        try:
            f = open('csv/forex_settings.json', 'r')
            all_forex_settings = json.load(f)
            f.close()
        except:
            all_forex_settings = {"feature": "Stocks", "speed": "medium", "speed2": "medium", "animation": "down", "percent": False, "point": True, "logos": True, "chart": False, "title": True, "symbols": {"EUR,USD": {"current": "1.1334", "24hr_change": "-0.0003", "percent_change": "0.00"}, "USD,JPY": {"current": "114.960", "24hr_change": "0.1600", "percent_change": "0.14"}, "GBP,USD": {"current": "1.3577", "24hr_change": "-0.0031", "percent_change": "-0.23"}, "USD,CHF": {"current": "0.9198", "24hr_change": "0.0029", "percent_change": "0.32"}}}
        
        forex_info = all_forex_settings['symbols']
        symbol_base = list(forex_info.keys())
        
        symbols = [sb.split(',')[0] for sb in symbol_base]
        bases = [sb.split(',')[1] for sb in symbol_base]
        unique_bases = list(set(bases))
        
        targets = ','.join(symbols)
        url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/forex?symbols='
        for i,s in enumerate(symbols):
            url += s + '-' + bases[i] + ','
        url = url[:-1] #remove last comma
        url += '&apiKey=' + api_key
            
        response = requests.get(url)
        data = response.json()

        if len(data) > 0:
            c_dict = {}
            for sb in symbol_base:
                for d in data:
                    if d['uid'].replace('/',',') == sb:
                        c_dict[d['uid'].replace('/',',')] = {'current': d['rate'], '24hr_change': d['rate_over_24hr'], 'percent_change':d['percent_over_24hr']}
            
            all_forex_settings['symbols'] = c_dict
            
            with open('csv/forex_settings.json', 'w+') as f:
                json.dump(all_forex_settings,  f)
    except:
        pass
        #logf = open('log.txt', "a")
        #exc_type, exc_obj, exc_tb = sys.exc_info()
        #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
        #logf.write(str(e))
        #logf.write('. file: ' + fname)
        #logf.write('. line: ' +  str(exc_tb.tb_lineno))
        #logf.write('. type: ' +  str(exc_type))
        #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
        #logf.close()

        
def updateEconomic(api_key, logf):
    
    try:
        with open('csv/economic_settings.json','r') as f:
            all_economic_settings = json.load(f)
    except:
        all_economic_settings = {"feature": "Economic Calendar", "speed": "medium", "speed2": "medium", "animation": "up", "importance": "Med - High", "title": True, "timezone": "US/Eastern", "countries": ["United States"], "events": []} 

    try:
        url = 'https://economic-calendar.tradingview.com/events'
        headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'}
        country_codes = {
            'United States':'US', 'Canada':'CA', 'Hong Kong':'HK', 'China':'CN', 'Germany':'DE','France':'FR', 'Italy':'IT', 'Singapore':'SG',
            'South Korea':'KR', 'Japan':'JP', 'Australia':'AU', 'New Zealand':'NZ', 'India':'IN', 'Switzerland':'CH', 'United Kingdom':'GB',
            'Spain':'ES', 'Portugal':'PT', 'Netherlands':'NL', 'Belgium':'BE', 'Austria':'AT', 'Denmark':'DK', 'Turkey':'TR', 'Brazil':'BR',
            'Mexico':'MX', 'Sweden':'SE', 'Finland':'FI', 'Norway':'NO', 'Taiwan':'TW', 'Indonesia':'ID', 'Philippines':'PH', 'Thailand':'TH',
            'South Africa':'ZA'}

        country = all_economic_settings['countries']
        if all_economic_settings['importance'] == 'Low - High':
            importance = -1
        elif all_economic_settings['importance'] == 'Med - High':
            importance = 0
        elif all_economic_settings['importance'] == 'High':
            importance = 1
        country_codes_list = [country_codes[c] for c in country]
        result = ",".join(country_codes_list)
        timezone = pytz.timezone(all_economic_settings['timezone'])
        date_local = datetime.now(timezone)
        date_local = (date_local - timedelta(hours=2)).strftime('%Y-%m-%dT%H:%M:00')
        #date_local = datetime.now(timezone).strftime('%Y-%m-%dT00:00:00')
        date_local2 = datetime.now(timezone).strftime('%Y-%m-%dT23:59:00')
        date_from = timezone.localize(datetime.strptime(date_local,'%Y-%m-%dT%H:%M:%S')).astimezone(pytz.timezone('GMT')).strftime('%Y-%m-%dT%H:%M:%S.000Z')
        date_to = timezone.localize(datetime.strptime(date_local2,'%Y-%m-%dT%H:%M:%S')).astimezone(pytz.timezone('GMT')).strftime('%Y-%m-%dT%H:%M:%S.000Z')

        params = {
            'from': date_from,
            'to': date_to,
            'countries': result,
            'minImportance': importance
        }

        data = requests.get(url, params=params, headers=headers).json()
        events = []

        try:
            for each in data['result']:
                try:
                    time = pytz.timezone('GMT').localize(datetime.strptime(each['date'], '%Y-%m-%dT%H:%M:%S.%fZ')).astimezone(timezone).strftime('%a %m/%d %H:%M%p')
                    if datetime.now(timezone).strftime('%a %m/%d %H:%M%p') >= time:
                        happened = True
                    else:
                        happened = False
                    try:
                        unit = str(each['unit'])
                    except:
                        unit = ''
                    try:
                        scale = str(each['scale'])
                    except:
                        scale = ''
                    if scale != '':
                        if each['actual'] != '' and each['actual'] is not None:
                            each['actual'] = str(each['actual']) + scale
                        if each['previous'] != '' and each['previous'] is not None:
                            each['previous'] = str(each['previous']) + scale
                        if each['forecast'] != '' and each['forecast'] is not None:
                            each['forecast'] = str(each['forecast']) + scale
                    if unit != '' and scale != '':
                        if each['actual'] != '' and each['actual'] is not None:
                            each['actual'] = str(each['actual']) + ' ' + unit
                        if each['previous'] != '' and each['previous'] is not None:
                            each['previous']= str(each['previous']) + ' ' + unit
                        if each['forecast'] != '' and each['forecast'] is not None:
                            each['forecast'] = str(each['forecast']) + ' ' + unit
                    elif unit != '' and scale == '':
                        if each['actual'] != '' and each['actual'] is not None:
                            each['actual'] = str(each['actual']) + unit
                        if each['previous'] != '' and each['previous'] is not None:
                            each['previous']= str(each['previous']) + unit
                        if each['forecast'] != '' and each['forecast'] is not None:
                            each['forecast'] = str(each['forecast']) + unit

                    events.append({
                        'title':each['title'],
                        'indicator':each['indicator'],
                        'period':each['period'],
                        'country':each['country'],
                        'importance':each['importance'],
                        'time':time,
                        'actual':each['actual'],
                        'previous':each['previous'],
                        'forecast':each['forecast'],
                        'happened': happened
                    })
                except:
                    pass
        except:
            pass
        all_economic_settings['events'] = events
        with open('csv/economic_settings.json', 'w+') as f:
            json.dump(all_economic_settings, f)
    except:
        pass
    

def updateJokes(api_key, logf):
    try:
        with open('csv/jokes_settings.json', 'r') as f:
            jokes_settings = json.load(f)
    except:
        jokes_settings = {"feature": "Jokes", "speed": "medium", "speed2": "medium", "animation": "up", "title": True, "safe": True, "categories": ["Any"], "blacklist": [], "amount": "5", "jokes": []}
    try:
        if 'Any' in jokes_settings['categories']:
            categories = 'Any'
        else:
            categories = ','.join(jokes_settings['categories'])
        blacklist = ','.join(jokes_settings['blacklist'])
        amount = jokes_settings['amount']
        jokes_settings['jokes'] = []

        joke_url = 'https://v2.jokeapi.dev/joke/'+categories+'?amount='+amount
        if blacklist != '':
            joke_url = 'https://v2.jokeapi.dev/joke/'+categories+ '?blacklistFlags=' + blacklist + '&amount='+amount
        if jokes_settings['safe']:
            joke_url += '&safe-mode'

        get_jokes = requests.get(joke_url)
        all_jokes = get_jokes.json()

        for each_joke in all_jokes['jokes']:
            jokes_settings['jokes'].append(each_joke)

        with open('csv/jokes_settings.json', 'w') as f:
            json.dump(jokes_settings,f)
    except:
        pass


def updateMarket(api_key, logf):
    try: 
        try:
            f = open('csv/market_settings.json', 'r')
            all_market_settings = json.load(f)
            f.close()
        except:
            all_market_settings = {"feature": "Gainers, Losers, Active", "speed": "medium", "speed2": "medium", "animation": "up", "percent": True, "point": True, "logos": True, "chart": False, "title": True, "lohivol": False, "categories": ["Top Gainers", "Top Losers", "Most Active"], "gainers": {}, "losers": {}, "mostactive": {}}

        try:
            f = open('csv/sector_settings.json', 'r')
            all_sector_settings = json.load(f)
            f.close()
        except:
            all_sector_settings = {"feature": "Sector Performance", "speed": "medium", "speed2": "medium", "animation": "up", "logos": True, "title": True, "sectors": ["Energy", "Financials", "Real Estate", "Technology"], "data": {}}

        headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'}
        url = 'https://cloud.iexapis.com/stable/stock/market/overview?token=pk_aff870df1a984daa9dd43c71801c1936&'
        data = requests.get(url, headers=headers).json()

        mostactive = data['mostactive']
        gainers = data['gainers']
        losers = data['losers']
        sectors = data['sectorPerformance']
        all_market_settings['losers'] = {}
        all_market_settings['gainers'] = {}
        all_market_settings['mostactive'] = {}
        all_sector_settings['data'] = {}
        
        try:
            for item in losers:
                all_market_settings['losers'][item['symbol']] = {
                    "current": str(item['latestPrice']),
                    "change": str(item['change']),
                    "percent_change": str(item['changePercent'] * 100),
                    "day_low": str(item['low']),
                    "day_high": str(item['high']),
                    "volume": human_format(item['latestVolume'])
                }
        except:
            pass
        try:
            for item in gainers:
                all_market_settings['gainers'][item['symbol']] = {
                    "current": str(item['latestPrice']),
                    "change": str(item['change']),
                    "percent_change": str(item['changePercent'] * 100),
                    "day_low": str(item['low']),
                    "day_high": str(item['high']),
                    "volume": human_format(item['latestVolume'])
                }
        except:
            pass
        try:
            for item in mostactive:
                all_market_settings['mostactive'][item['symbol']] = {
                    "current": str(item['latestPrice']),
                    "change": str(item['change']),
                    "percent_change": str(item['changePercent'] * 100),
                    "day_low": str(item['low']),
                    "day_high": str(item['high']),
                    "volume": human_format(item['latestVolume'])
                }
        except:
            pass
        try:
            for item in sectors:
                all_sector_settings['data'][item['name']] = {
                    "current": str(item['performance'] * 100),
                    "name": str(item['name']),
                    "symbol": str(item['symbol'])
                }
        except:
            pass

        with open('csv/market_settings.json', 'w+') as f:
            json.dump(all_market_settings, f)
        with open('csv/sector_settings.json', 'w+') as f:
            json.dump(all_sector_settings, f)

    except:
        pass


def updateNews(api_key, logf):
    try:
        try:
            f = open('csv/news_settings.json', 'r')
            all_settings = json.load(f)
            f.close()
        except:
            all_settings = {"feature": "News", "speed": "medium", "speed2": "medium", "animation": "down", "country": "US", "category": "General", "title": True, "headlines": [], "use_category": True, "use_country": False, "num_headlines": "10"}

        if all_settings['use_country']:
            if all_settings['country'] == 'Worldwide':
                url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news_worldwide?'
            else:
                c_dict = {'United States':'US', 'Australia':'AU', 'Canada': 'CA', 'Great Britain':'GB', 'New Zealand':'NZ', 'Ireland':'IE', 'Singapore':'SG', 'South Africa': 'ZA', 'Germany': 'DE', 'Hong Kong': 'HK', 'Japan': 'JP', 'South Korea': 'KR', 'China': 'CN', 'France': 'FR', 'India': 'IN', 'Italy': 'IT', 'Switzerland': 'CH', 'Netherlands': 'NL', 'Spain': 'ES', 'Brazil': 'BR', 'Portugal': 'PT'}
                cc = c_dict[all_settings['country']]
                url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?country={}'.format(cc)
        elif all_settings['use_category']:
            url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?category={}'.format(all_settings['category'])
        
        url += '&apiKey=' + api_key
        response = requests.get(url)
        data = response.json()
   
        if len(data) > 0:
            max_headlines = int(all_settings['num_headlines'])
            #load user settings
            headlines = data[:max_headlines]
            headline_sources = [headline['source'] for headline in headlines]  
            headline_titles = [headline['title'] for headline in headlines]
            
            headline_times = [headline['publishedAt'] for headline in headlines]
            
            headlines = list(zip(headline_titles, headline_sources, headline_times))
    
            all_settings['headlines'] = headlines
            
            with open('csv/news_settings.json', 'w+') as f:
                json.dump(all_settings, f)        
    except:
        pass
        #logf = open('log.txt', "a")
        #exc_type, exc_obj, exc_tb = sys.exc_info()
        #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
        #logf.write(str(e))
        #logf.write('. file: ' + fname)
        #logf.write('. line: ' +  str(exc_tb.tb_lineno))
        #logf.write('. type: ' +  str(exc_type))
        #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
        #logf.close()

    
def updateWeather(api_key, logf):

    try:
        gn = geocoders.GeoNames(username='fintic')
        weather_codes = {
            0: ['Clear', 'Clear sky'],
            1: ['Clouds', 'few clouds'], 2: ['Clouds', 'scattered clouds'], 3: ['Clouds', 'overcast clouds'],
            45: ['Fog', 'Fog'], 48: ['Fog', 'depositing rime fog'],
            51: ['Drizzle', 'Light'], 53: ['Drizzle', 'moderate'], 55: ['Drizzle', 'dense'], 56: ['Drizzle', 'light'], 57: ['Drizzle', 'dense'],
            61: ['Rain', 'light rain'], 63: ['Rain', 'moderate rain'], 65: ['Rain', 'very heavy rain'],
            66: ['Rain', 'freezing rain'], 67: ['Rain', 'freezing rain'],
            71: ['Snow', 'slight'], 73: ['Snow', 'moderate'], 75: ['Snow', 'heavy'], 77: ['Snow', 'Snow grains'], 85: ['Snow', 'slight'], 86: ['Snow', 'heavy'],
            80: ['Rain', 'light intensity shower rain'], 81: ['Rain', 'shower rain'], 82: ['Rain', 'heavy intensity shower rain'],
            95: ['Thunderstorm', 'Slight or moderate'], 96: ['Thunderstorm', 'slight hail'], 99: ['Thunderstorm', 'heavy hail']
        }
        try:
            f = open('csv/daily_weather.json', 'r')
            all_daily_settings = json.load(f)
            f.close()
        except:
            all_daily_settings = {"feature": "Current Weather", "speed": "medium", "animation": "down", "temp": "celsius", "wind_speed": "miles/hour", "colour": "white", "city_colour": "yellow", "title": True, "locations": {"Hong Kong": [{"main_weather": "Thunderstorm", "description": "Slight or moderate", "min_temp": 28.2, "max_temp": 30.8, "temp": 30.4, "rain_chance": 17, "humidity": 77, "wind_speed": 11.1, "uv": 5.3, "clouds": 100, "wind_direction": 193, "visibility": 10000}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 27.9, "max_temp": 32.3}, {"main_weather": "Thunderstorm", "description": "Slight or moderate", "min_temp": 27.7, "max_temp": 31.2}, {"main_weather": "Thunderstorm", "description": "Slight or moderate", "min_temp": 28.1, "max_temp": 31.5}, {"main_weather": "Rain", "description": "light intensity shower rain", "min_temp": 28.5, "max_temp": 31.1}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 28.9, "max_temp": 31.5}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 29.0, "max_temp": 31.9}]}, "current_weather": False, "speed2": "medium"}
        try:
            f = open('csv/current_weather.json', 'r')
            all_current_settings = json.load(f)
            f.close()
        except:
            all_current_settings = {"feature": "Current Weather", "speed": "medium", "animation": "down", "temp": "celsius", "wind_speed": "miles/hour", "colour": "white", "city_colour": "yellow", "title": True, "locations": {"Hong Kong": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 30.4, "min_temp": 28.2, "max_temp": 30.8, "feels_like": 36.0, "humidity": 77, "clouds": 100, "visibility": 10000, "uv": 5.3, "rain_chance": 17, "wind_speed": 11.1, "wind_direction": 193, "is_day": 1}}, "current_weather": True, "speed2": "medium"}

        current_locations = list(all_current_settings['locations'].keys())
        daily_locations = list(all_daily_settings['locations'].keys())
        all_locations = list(set(current_locations + daily_locations))

        current_weathers = {}
        daily_weathers = {}

        for location in all_locations:
            loc = gn.geocode(location)
            current_weather = {}

            lat = loc.latitude
            lon = loc.longitude
            url = 'https://api.open-meteo.com/v1/forecast?latitude={}&longitude={}&hourly=apparent_temperature,temperature_2m,relativehumidity_2m,precipitation_probability,weathercode,cloudcover,visibility,windspeed_10m,winddirection_10m,uv_index,is_day&daily=weathercode,temperature_2m_max,temperature_2m_min&current_weather=true&timezone=UTC'.format(lat, lon)
            r = requests.get(url).json()

            times = r['hourly']['time']
            hour_now = datetime.now(pytz.utc).strftime('%Y-%m-%dT%H:00')
            index_pos = times.index(hour_now)

            main_weather_code = r['hourly']['weathercode'][index_pos]
            current_weather['main_weather'] = weather_codes[main_weather_code][0]
            current_weather['description'] = weather_codes[main_weather_code][1]
            current_weather['temp'] = r['hourly']['temperature_2m'][index_pos]
            current_weather['min_temp'] = r['daily']['temperature_2m_min'][0]
            current_weather['max_temp'] = r['daily']['temperature_2m_max'][0]
            current_weather['feels_like'] = r['hourly']['apparent_temperature'][index_pos]
            current_weather['humidity'] = r['hourly']['relativehumidity_2m'][index_pos]
            current_weather['clouds'] = r['hourly']['cloudcover'][index_pos]
            if r['hourly']['visibility'][index_pos] > 10000:
                current_weather['visibility'] = 10000
            else:
                current_weather['visibility'] = r['hourly']['visibility'][index_pos]
            current_weather['uv'] = r['hourly']['uv_index'][index_pos]
            current_weather['rain_chance'] = r['hourly']['precipitation_probability'][index_pos]
            current_weather['wind_speed'] = r['hourly']['windspeed_10m'][index_pos]
            current_weather['wind_direction'] = r['hourly']['winddirection_10m'][index_pos]
            current_weather['is_day'] = r['hourly']['is_day'][index_pos]

            if location in current_locations:
                current_weathers[location] = current_weather

            daily_weather = []
            daily = r['daily']

            for i in range(0,7):
                dct = {}
                daily_weather_code = daily['weathercode'][i]
                dct['main_weather'] = weather_codes[daily_weather_code][0]
                dct['description'] = weather_codes[daily_weather_code][1]
                dct['min_temp'] = daily['temperature_2m_min'][i]
                dct['max_temp'] = daily['temperature_2m_max'][i]
                daily_weather.append(dct)

            # add relevant urrent information to first day in daily
            daily_weather[0]['temp'] = current_weather['temp']
            daily_weather[0]['rain_chance'] = current_weather['rain_chance']
            daily_weather[0]['humidity'] = current_weather['humidity']
            daily_weather[0]['wind_speed'] = current_weather['wind_speed']
            daily_weather[0]['uv'] = current_weather['uv']
            daily_weather[0]['clouds'] = current_weather['clouds']
            daily_weather[0]['wind_speed'] = current_weather['wind_speed']
            daily_weather[0]['wind_direction'] = current_weather['wind_direction']
            daily_weather[0]['visibility'] = current_weather['visibility']

            if location in daily_locations:
                daily_weathers[location] = daily_weather

        all_current_settings['locations'] = current_weathers
        all_daily_settings['locations'] = daily_weathers

        with open('csv/current_weather.json', 'w+') as f:
            json.dump(all_current_settings, f)

        with open("csv/daily_weather.json", 'w+') as f:
            json.dump(all_daily_settings, f)

    except:
        pass
        #logf = open('log.txt', "a")
        #exc_type, exc_obj, exc_tb = sys.exc_info()
        #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
        #logf.write(str(e))
        #logf.write('. file: ' + fname)
        #logf.write('. line: ' +  str(exc_tb.tb_lineno))
        #logf.write('. type: ' +  str(exc_type))
        #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
        #logf.close()

        
def updateLeagueTables(api_key, logf):

    url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/sports?stats='
    try:
        try:
            f = open('csv/league_tables.json', 'r')
            all_settings = json.load(f)
            f.close()
        except:
            all_settings = {"feature": "Sports (Team Stats)", "speed": "medium", "speed2": "medium","animation": "down", "title": True, "top20": 20, "leagues": {'NFL':[]}}
        
        leagues = all_settings['leagues'].keys()
        leagues_info = {}
        
        for league in leagues:
            if league == 'PREMIERLEAGUE':
                url += 'PREMIERLEAGUE,'
            else:
                url += league + ','
            
        url = url[:-1] # remove last comma 
        url += '&apiKey=' + api_key
        r = requests.get(url)
          
        all_data = r.json()
        
        for i,l in enumerate(all_data):
            league = list(l.keys())[0]
            teams = []
            if league == 'pga' or league == 'lpga':
                logo_files = []
                for d in all_data[i][league]:
                    del d['_id'], d['updated']
                    teams.append(d)
                    try:
                        if d['country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'):
                            urllib.request.urlretrieve(d['country'], 'logos/ufc_countries/' + d['country'].split('/')[-1].split('&')[0])
                    except:
                        pass
                    try:
                        if league == 'pga':
                            if d['photo'].split('/')[-1].split('&')[0] not in os.listdir('logos/pga_rank/'):
                                urllib.request.urlretrieve(d['photo'],'logos/pga_rank/' + d['photo'].split('/')[-1].split('&')[0])
                        elif league == 'lpga':
                            if d['photo'].split('/')[-1] not in os.listdir('logos/lpga_rank/'):
                                urllib.request.urlretrieve(d['photo'],'logos/lpga_rank/' + d['photo'].split('/')[-1])
                    except:
                        pass
                    try:
                        if league == 'pga':
                            logo_files.append(d['photo'].split('/')[-1].split('&')[0])
                        elif league == 'lpga':
                            logo_files.append(d['photo'].split('/')[-1])
                    except:
                        pass
                if league == 'pga':
                    for file in os.listdir('logos/pga_rank/'):
                        if file not in logo_files:
                            os.remove('logos/pga_rank/'+ file)
                elif league == 'lpga':
                    for file in os.listdir('logos/lpga_rank/'):
                        if file not in logo_files:
                            os.remove('logos/lpga_rank/'+ file)
            else:
                for d in all_data[i][league]:
                    team = {}
                    team['name'] = d['strTeam']
                    team['wins'] = d['intWin']
                    team['loss'] = d['intLoss']
                    team['draw'] = d['intDraw']
                    #team['played'] = d['intPlayed']
                    team['standing'] = d['intRank']
                    #team['points'] = d['intPoints']
                    teams.append(team)

            leagues_info[league.upper()] = teams
        
        all_settings['leagues'] = leagues_info
        with open("csv/league_tables.json".format(league), 'w+') as f:
            json.dump(all_settings, f)        
    except:
        pass
        #logf = open('log.txt', "a")
        #exc_type, exc_obj, exc_tb = sys.exc_info()
        #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
        #logf.write(str(e))
        #logf.write('. file: ' + fname)
        #logf.write('. line: ' +  str(exc_tb.tb_lineno))
        #logf.write('. type: ' +  str(exc_type))
        #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
        #logf.close()


def updatePLtime():

    f = open('csv/live_games.json')

    try:
        all_settings = json.load(f)
        f.close()

        try:
            for league in all_settings['leagues']:
                if league == 'PREMIERLEAGUE':
                    subprocess.run(["sudo", "pkill", "-f", "live_pl.py"], shell=False)
                    premierleague = subprocess.Popen(["python3", "live_pl.py"], shell=False)
        except:
            pass
    except:
        pass
        
        
def updateLeagueEvents(api_key, time, logf):

    url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/sports?{}='.format(time)
    
    try:
        if time == 'past':
            f = open('csv/past_games.json')
        elif time == 'upcoming':
            f = open('csv/upcoming_games.json')
        elif time == 'livescore':
            f = open('csv/live_games.json')
        all_settings = json.load(f)
        f.close()
    except:
        if time == 'past':
            all_settings = {"feature": "Sports (Past Games)", "speed2": "medium", "speed": "medium", "animation": "down", "title": True, "leagues": {"NFL": []}}
        elif time == 'upcoming':
            all_settings = {"feature": "Sports (Upcoming Games)", "speed": "medium", "speed2": "medium", "animation": "down", "title": True, "leagues": {"NFL": [{"date": "2021-11-22", "time": "01:20:00", "round": "11", "home_team": "Los Angeles Chargers", "home_score": "41", "away_team": "Pittsburgh Steelers", "away_score": "37"}]}}
        elif time == 'livescore':
            all_settings = {"feature": "Sports (Live Games)", "speed": "medium", "speed2": "medium", "animation": "down", "title": True, "leagues": {}}

    try:
        if time == 'livescore':
            try:
                leagues_info = {}
                for league in all_settings['leagues']:
                    events = []
                    if league == 'NFL':
                        subprocess.run(["sudo", "pkill", "-f", "live_nfl.py"], shell=False)
                        nfl = subprocess.Popen(["python3", "live_nfl.py"], shell=False)
                        events.append('Filled')
                        leagues_info[league.upper()] = events
                    if league == 'NBA':
                        subprocess.run(["sudo", "pkill", "-f", "live_nba.py"], shell=False)
                        nba = subprocess.Popen(["python3", "live_nba.py"], shell=False)
                        events.append('Filled')
                        leagues_info[league.upper()] = events
                    if league == 'NHL':
                        subprocess.run(["sudo", "pkill", "-f", "live_nhl.py"], shell=False)
                        nhl = subprocess.Popen(["python3", "live_nhl.py"], shell=False)
                        events.append('Filled')
                        leagues_info[league.upper()] = events
                    if league == 'MLB':
                        subprocess.run(["sudo", "pkill", "-f", "live_mlb.py"], shell=False)
                        mlb = subprocess.Popen(["python3", "live_mlb.py"], shell=False)
                        events.append('Filled')
                        leagues_info[league.upper()] = events
                    if league == 'PREMIERLEAGUE':
                        subprocess.run(["sudo", "pkill", "-f", "live_pl.py"], shell=False)
                        premierleague = subprocess.Popen(["python3", "live_pl.py"], shell=False)
                        events.append('Filled')
                        leagues_info[league.upper()] = events
                    if league == 'MLS':
                        subprocess.run(["sudo", "pkill", "-f", "live_mls.py"], shell=False)
                        mls = subprocess.Popen(["python3", "live_mls.py"], shell=False)
                        events.append('Filled')
                        leagues_info[league.upper()] = events

                all_settings['leagues'] = leagues_info

                with open('csv/live_games.json', 'w+') as f:
                    json.dump(all_settings,  f)
            except:
                pass

        else:        

            leagues = all_settings['leagues'].keys()
            leagues_info = {}
           
            for league in leagues:
                
                if league == 'PREMIERLEAGUE':
                    url += 'PREMIERLEAGUE,'
                else:
                    url += league + ','
            url = url[:-1] # remove last comma 
            url += '&apiKey=' + api_key
            
            r = requests.get(url)
            
            all_data = r.json()
            
            for league in all_data.keys():
                ten_or_fifteen = slice(None)
                events = []
                if (league == 'PGA') or (league == 'LPGA') or (league == 'PGA_EU') or (league == 'LIV') or (league == 'F1') or (league == 'NASCAR'):
                    if time == 'past':
                        ten_or_fifteen = slice(2)
                    else:
                        ten_or_fifteen = slice(3)
                else:
                    ten_or_fifteen = slice(None)
                    
                if league == 'UFC':
                    event = all_data['UFC'][0]
                    events.append(event)
                    if time == 'upcoming':
                        try:
                            logo_files = []
                            for each in all_data['UFC'][0]['fights']:
                                try:
                                    if each['fighter1pic'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc/'):
                                        urllib.request.urlretrieve(each['fighter1pic'],'logos/ufc/' + each['fighter1pic'].split('/')[-1].split('&')[0])
                                except:
                                    pass
                                try:
                                    if each['fighter2pic'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc/'):
                                        urllib.request.urlretrieve(each['fighter2pic'],'logos/ufc/' + each['fighter2pic'].split('/')[-1].split('&')[0])
                                except:
                                    pass
                                try:
                                    logo_files.append(each['fighter2pic'].split('/')[-1].split('&')[0])
                                except:
                                    pass
                                try:
                                    logo_files.append(each['fighter1pic'].split('/')[-1].split('&')[0])
                                except:
                                    pass
                                #country flags
                                try:
                                    if each['fighter1country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'):
                                        urllib.request.urlretrieve(each['fighter1country'], 'logos/ufc_countries/' + each['fighter1country'].split('/')[-1].split('&')[0])
                                except:
                                    pass
                                try:
                                    if each['fighter2country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'):
                                        urllib.request.urlretrieve(each['fighter2country'], 'logos/ufc_countries/' + each['fighter2country'].split('/')[-1].split('&')[0])
                                except:
                                    pass

                            for file in os.listdir('logos/ufc/'):
                                if file not in logo_files:
                                    os.remove('logos/ufc/'+ file)
                        except:
                            pass
                    elif time == 'past':
                        try:
                            logo_files = []
                            for each in all_data['UFC'][0]['fights']:
                                try:
                                    if each['fighter1pic'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_past/'):
                                        urllib.request.urlretrieve(each['fighter1pic'],'logos/ufc_past/' + each['fighter1pic'].split('/')[-1].split('&')[0])
                                except:
                                    pass
                                try:
                                    if each['fighter2pic'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_past/'):
                                        urllib.request.urlretrieve(each['fighter2pic'],'logos/ufc_past/' + each['fighter2pic'].split('/')[-1].split('&')[0])
                                except:
                                    pass
                                try:
                                    logo_files.append(each['fighter2pic'].split('/')[-1].split('&')[0])
                                except:
                                    pass
                                try:
                                    logo_files.append(each['fighter1pic'].split('/')[-1].split('&')[0])
                                except:
                                    pass
                                #country flags
                                try:
                                    if each['fighter1country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'):
                                        urllib.request.urlretrieve(each['fighter1country'], 'logos/ufc_countries/' + each['fighter1country'].split('/')[-1].split('&')[0])
                                except:
                                    pass
                                try:
                                    if each['fighter2country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'):
                                        urllib.request.urlretrieve(each['fighter2country'], 'logos/ufc_countries/' + each['fighter2country'].split('/')[-1].split('&')[0])
                                except:
                                    pass

                            for file in os.listdir('logos/ufc_past/'):
                                if file not in logo_files:
                                    os.remove('logos/ufc_past/'+ file)
                        except:
                            pass
                else:
                    for d in all_data[league][ten_or_fifteen]:
                        event = {}
                        event['date'] = d['dateEvent']
                        try:
                            event['date2'] = d['dateEvent2']
                        except:
                            pass
                        
                        if time == 'live':
                            event['progess'] = d['strProgress']
                            event['status'] = d['strStatus']
                        else:
                            if (league == 'PGA') or (league == 'LPGA') or (league == 'PGA_EU') or (league == 'LIV') or (league == 'F1') or (league == 'NASCAR'):
                                event['date'] = d['dateEvent']
                                try:
                                    event['date2'] = d['dateEvent2']
                                except:
                                    pass
                                try:
                                    event['total_yards'] = d['total_yards']
                                    event['shots_par'] = d['shots_par']
                                    event['purse'] = d['purse']
                                except:
                                    pass
                                event['event'] = d['strEvent'].replace("\u2019","'")
                                event['venue'] = d['strVenue'].replace("\u2019","'")
                                event['city'] = d['strCity'].replace("\u2019","'")
                                event['country'] = d['strCountry']
                                event['season'] = d['strSeason']
                            else:
                                event['round'] = d['intRound']
                                event['time'] = d['strTime']
                                event['home_team'] = d['strHomeTeam']
                                event['away_team'] = d['strAwayTeam']
                        
                        if time != 'upcoming':
                            if (league == 'PGA') or (league == 'LPGA') or (league == 'PGA_EU'):
                                # event['golf_standings'] = d['strResult']
                                event['golf_rankings'] = d['player_results']
                                for player in event['golf_rankings']:
                                    try:
                                        if player['country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'):
                                            urllib.request.urlretrieve(player['country'], 'logos/ufc_countries/' + player['country'].split('/')[-1].split('&')[0])
                                    except:
                                        pass
                                # rank = ['n1', 'n2', 'n3', 'n4', 'n5', 'n6', 'n7', 'n8', 'n9', 'n10', 'T1', 'T2', 'T3', 'T4', 'T5',
                                #         'T6', 'T7', 'T8', 'T9', 'T10']
                                # def convert(string):
                                #     string = repr(string).replace('/', '')
                                #     li = list(string.split('\\'))
                                #     return li

                                # str3 = convert(event['golf_standings'])

                                # players = []


                                # for each in str3:
                                #     each = each.replace('nT', 'T', 1)
                                #     if each[:2] in rank:
                                #         try:
                                #             first_space = each.find(' ', 1)
                                #             second_space = each.find(' ', 4)
                                #             first_name = each[first_space:second_space].lstrip()
                                #             initial = first_name[0] + '.'
                                #             each = each.replace(first_name,initial)
                                #         except:
                                #             pass
                                #         interator = each.find('-')
                                #         if interator < 0:
                                #             interator = 0
                                #         interator2 = each[interator:interator + 3]
                                #         result = each.split(interator2, 1)[0] + interator2
                                #         players.append(result.rstrip())

                                # event['golf_standings'] = players


                            elif (league == 'LIV'):
                                # event['golf_standings'] = d['strResult']
                                event['golf_rankings'] = d['player_results']
                                for player in event['golf_rankings']:
                                    try:
                                        if player['country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'):
                                            urllib.request.urlretrieve(player['country'], 'logos/ufc_countries/' + player['country'].split('/')[-1].split('&')[0])
                                    except:
                                        pass
                                # rank = ['n1', 'n2', 'n3', 'n4', 'n5', 'n6', 'n7', 'n8', 'n9', 'n10', 'T1', 'T2', 'T3', 'T4', 'T5',
                                        # 'T6', 'T7', 'T8', 'T9', 'T10']
                                # def convert(string):
                                #     string = repr(string).replace('/', '')
                                #     li = list(string.split('\\'))
                                #     return li

                                # try:
                                #     str3 = convert(event['golf_standings'].split('--------------------------------------')[0])
                                #     strTeams = convert(event['golf_standings'].split('--------------------------------------')[1])
                                # except:
                                #     pass

                                # players = []
                                # teams = []

                                # try:
                                #     for each in str3:
                                #         each = each.replace('nT', 'T', 1)
                                #         if each[:2] in rank:
                                #             try:
                                #                 first_space = each.find(' ', 1)
                                #                 second_space = each.find(' ', 4)
                                #                 first_name = each[first_space:second_space].lstrip()
                                #                 initial = first_name[0] + '.'
                                #                 each = each.replace(first_name,initial)
                                #             except:
                                #                 pass
                                #             interator = each.find('-')
                                #             if interator < 0:
                                #                 interator = 0
                                #             interator2 = each[interator:interator + 3]
                                #             result = each.split(interator2, 1)[0] + interator2
                                #             players.append(result.rstrip())

                                #     for each in strTeams:
                                #         each = each.replace('nT', 'T', 1)
                                #         if each[:2] in rank:
                                #             each = each.split('GC')
                                #             score = each[1].rfind(' ')
                                #             score2 = each[1][score:score+4]
                                #             each2 = each[0] + score2
                                #             teams.append(each2)
                                # except:
                                #     pass

                                # event['golf_standings'] = [players] + [teams]
                            else:
                                event['away_score'] = d['intAwayScore']
                                event['home_score'] = d['intHomeScore']

                        events.append(event)
                leagues_info[league.upper()] = events
            all_settings['leagues'] = leagues_info

            with open("csv/{}_games.json".format(time), 'w+') as f:
                json.dump(all_settings,  f)
    except:
        pass

      

def updateSports(api_key, logf):
    #read user settings to decide which sprots to update
   
    updateLeagueTables(api_key, logf)
    
    updateLeagueEvents(api_key,'livescore', logf) 
    updateLeagueEvents(api_key,'past', logf) 
    updateLeagueEvents(api_key,'upcoming', logf) 




def checkStocks(last_update, update_frequency):
    NY_time = datetime.now(NY_zone).replace(tzinfo=None)
    opening = NY_time.replace(hour=9, minute=30, second=0, microsecond=0).replace(tzinfo=None)
    closing = NY_time.replace(hour=16, minute=5, second=0, microsecond=0).replace(tzinfo=None)
    
    
    f = open('csv/stocks_settings.json', 'r')
    all_stocks_settings = json.load(f)
    f.close()
    stock_info = all_stocks_settings['symbols']
    symbols = list(stock_info.keys())
    
    updated = False

    diff = (NY_time - last_update).total_seconds()/60 #minutes
    if opening < NY_time < closing and datetime.today().weekday() < 5: # we need to do real time updating
        
        
        if diff >= update_frequency:
            updated = True
            
        
        
    elif emptyInfo(symbols, stock_info): # if theres any empty stocks
        updated = True
        
        
    
    else:
        # update if last update was before the previous days closing
        yday_closing = closing - dt.timedelta(days=1)
        yday_str = yday_closing.strftime("%d/%m/%Y %H:%M:%S")
        yday_closing = datetime.strptime(yday_str, "%d/%m/%Y %H:%M:%S")
        
        if last_update < yday_closing:
            updated = True
            
            
    return updated


def updateAll(api_key, weather_key, logf):
    updateStocks(api_key, logf)

    updateCrypto(api_key, logf)

    updateForex(api_key, logf)

    updateNews(api_key, logf)
 
    updateSports(api_key, logf)
    
    if weather_key:
        updateWeather(weather_key, logf)
    
    
past_espn_time = True
past_pl_time = True
    
    
if __name__ == '__main__':
    logf = open("log.txt", "a")
    
    t = time.time()
    
    update_frequencies = {'stocks':2, 'crypto':7, 'forex':60, 'news':120, 'weather': 120, 'sports': 1440, 'commodities': 15, 'indices': 15, 'movies': 1440, 'ipo': 1440, 'prepost': 15, 'economic': 15, 'jokes': 15, 'market': 5} #minutes

    NY_zone = pytz.timezone('America/New_York')
    CET_zone = pytz.timezone('EST')

    NY_time = datetime.now(NY_zone)

    CET_time = datetime.now(CET_zone)
    
    NY_str = NY_time.strftime("%d/%m/%Y %H:%M:%S")
    CET_str = NY_time.strftime("%d/%m/%Y %H:%M:%S")
    
    #f = open('csv/last_updates.json', 'w+')
    #update_times = {'stocks':NY_str, 'crypto':NY_str, 'news':NY_str, 'weather': NY_str, 'forex': CET_str} # all in NY time apart from forex in CET
    #json.dump(update_times, f)
    #f.close()
    
    f = open('api_keys.txt')
    
    api_keys = f.readlines()
    api_key = api_keys[0].strip()
    

    try:
        weather_key = api_keys[1].strip()
    except Exception as e:
        weather_key = False
#         logf = open('log.txt', "a")
#         exc_type, exc_obj, exc_tb = sys.exc_info()
#         fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
#         logf.write(str(e))
#         logf.write('. file: ' + fname)
#         logf.write('. line: ' +  str(exc_tb.tb_lineno))
#         logf.write('. type: ' +  str(exc_type))
#         logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
#         logf.close()
    
    try:
        movie_key = open('movie_api_key.txt').readlines()[0]
    except Exception as e:
        movie_key = False
    
    try:
        ipo_key = open('ipo_api_key.txt').readlines()[0]
    except Exception as e:
        ipo_key = False
    
    t = time.time()
    update_processes = []
    
#     try:
#         time.sleep(60)
#         f = open('csv/last_updates.json', 'r')
#         last_updates = json.load(f)
#         f.close()
#         last_updates['stocks']['force'] = True
#         #last_updates['weather']['force'] = True
#         f = open('csv/last_updates.json', 'w')
#         json.dump(last_updates, f)
#         f.close()    
#     except:
#         pass
    
    
    
    try:
        while True:
            try:
                f = open('csv/last_updates.json', 'r')
                last_updates = json.load(f)
                f.close()
                
            except:
                last_updates = {"scheduler":{"force": False}, "stocks": {"time": "06/03/2022 04:12:09", "force": True}, "crypto": {"time": "06/03/2022 04:10:39", "force": True}, 
                "news": {"time": "06/03/2022 04:07:09", "force": True}, "weather": {"time": "06/03/2022 04:08:20", "force": True}, 
                "forex": {"time": "06/03/2022 03:54:02", "force": True}, "sports_l": {"time": "06/03/2022 04:10:09", "force": True}, 
                "sports_p": {"time": "06/03/2022 04:10:09", "force": True},
                "sports_u": {"time": "06/03/2022 04:10:09", "force": True},"sports_t": {"time": "06/03/2022 04:10:09", "force": True}, "commodities": {"time": "06/03/2022 04:10:09", "force": True}, "indices": {"time": "06/03/2022 04:10:09", "force": True}, "movies": {"time": "06/03/2022 04:10:09", "force": True}, "ipo": {"time": "06/03/2022 04:10:09", "force": True},
                "prepost": {"time": "06/03/2022 04:10:09", "force": True}, "economic": {"time": "06/03/2022 04:10:09", "force": True}, "jokes": {"time": "06/03/2022 04:10:09", "force": True}, "market": {"time": "06/03/2022 04:10:09", "force": True}, "sector": {"time": "06/03/2022 04:10:09", "force": True}}

            try:
                if last_updates['scheduler']['force']:
                    try:
                        f = open('csv/scheduler.json','r')
                        schedules = json.load(f)
                        f.close()
                        shutdown_schedule_hour = schedules['shutdown']['hour']
                        shutdown_schedule_minute = schedules['shutdown']['minute']
                        
                        reboot_schedule_hour = schedules['reboot']['hour']
                        reboot_schedule_minute = schedules['reboot']['minute']
                        
                        timezone = schedules['timezone']
                        shutdown_enabled = schedules['shutdown']['enabled']
                        reboot_enabled = schedules['reboot']['enabled']
                    except:
                        shutdown_schedule_hour = "00"
                        shutdown_schedule_minute = "00"
    
                        reboot_schedule_hour = "00"
                        reboot_schedule_minute = "00"
    
                        timezone = "GMT"
                        shutdown_enabled = False
                        reboot_enabled = False
                    last_updates['scheduler']['force'] = False
            except:
                pass
#SHUTDOWN
            try:
                if datetime.now(pytz.timezone(timezone)).strftime("%H:%M") == shutdown_schedule_hour+':'+shutdown_schedule_minute and shutdown_enabled:
                    os.system('sudo shutdown now')
            except:
                pass
#REBOOT
            try:
                if datetime.now(pytz.timezone(timezone)).strftime("%H:%M") == reboot_schedule_hour+':'+reboot_schedule_minute and reboot_enabled:
                    os.system('sudo reboot')
            except:
                pass
         
 
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
         
            #msg = getInput()
            
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            #stocks
            
            stock_time = datetime.strptime(last_updates['stocks']['time'], "%d/%m/%Y %H:%M:%S")
            stock_frequency = update_frequencies['stocks']
            diff = (NY_time - stock_time).total_seconds()/60 #minutes
            
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            opening = NY_time.replace(hour=9, minute=30, second=0, microsecond=0).replace(tzinfo=None)
            closing = NY_time.replace(hour=16, minute=5, second=0, microsecond=0).replace(tzinfo=None)
            stock_open = opening < NY_time < closing and datetime.today().weekday() <= 4 
            
            if last_updates['stocks']['force'] or (diff >= update_frequencies['stocks'] and stock_open):# or msg == 's':
                stock_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                last_updates['stocks']['time'] = stock_time
                last_updates['stocks']['force'] = False
                #updateStocks(api_key)
                update_process = Process(target = updateStocks, args = (api_key,logf))
                update_process.start()
                update_processes.append(update_process)

            NY_time1 = datetime.now(NY_zone).replace(tzinfo=None)
            NY_time2 = datetime.now(NY_zone).replace(tzinfo=None)
            #prepost 

            preopen = NY_time1.replace(hour=4, minute=0, second=0, microsecond=0).replace(tzinfo=None)
            preclose = NY_time1.replace(hour=9, minute=30, second=0, microsecond=0).replace(tzinfo=None)
            
            postopen = NY_time2.replace(hour=16, minute=0, second=0, microsecond=0).replace(tzinfo=None)
            postclose = NY_time2.replace(hour=20, minute=20, second=0, microsecond=0).replace(tzinfo=None)

            prepost_frequency = update_frequencies['prepost']
            prepost_time = datetime.strptime(last_updates['prepost']['time'], "%d/%m/%Y %H:%M:%S")

            pre_open = preopen < NY_time1 < preclose and NY_time1.weekday() <= 4 
            post_open = postopen < NY_time2 < postclose and NY_time2.weekday() <= 4 

            diff1 = (NY_time1 - prepost_time).total_seconds()/60 #minutes
            diff2 = (NY_time2 - prepost_time).total_seconds()/60 #minutes

            if (last_updates['prepost']['force']) or (diff1 >= update_frequencies['prepost'] and pre_open) or (diff2 >= update_frequencies['prepost'] and post_open):
                prepost_time = NY_time1.strftime("%d/%m/%Y %H:%M:%S")
                last_updates['prepost']['time'] = prepost_time
                last_updates['prepost']['force'] = False
                update_process = Process(target = updateStocksPrePost, args = (api_key,logf))
                update_process.start()
                update_processes.append(update_process)
                
            # crypto
            crypto_time = datetime.strptime(last_updates['crypto']['time'], "%d/%m/%Y %H:%M:%S")
            
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            diff = (NY_time - crypto_time).total_seconds()/60 #minutes
          
            if last_updates['crypto']['force'] or diff >= update_frequencies['crypto']:# or msg == 'c':
                crypto_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                #updateCrypto(api_key, logf)
                last_updates['crypto']['time'] = crypto_time
                last_updates['crypto']['force'] = False
                update_process = Process(target = updateCrypto, args = (api_key,logf))
                update_process.start()
                update_processes.append(update_process)
  

            # commodities
            commodities_time = datetime.strptime(last_updates['commodities']['time'], "%d/%m/%Y %H:%M:%S")

            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            diff = (NY_time - commodities_time).total_seconds()/60 #minutes

            if last_updates['commodities']['force'] or diff >= update_frequencies['commodities']:# or msg == 'c':
                commodities_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                #updateCrypto(api_key, logf)

                last_updates['commodities']['time'] = commodities_time
                last_updates['commodities']['force'] = False
                update_process = Process(target = updateCommodities, args = (api_key,logf))
                update_process.start()
                update_processes.append(update_process)

                
            # economic calendar
            economic_time = datetime.strptime(last_updates['economic']['time'], "%d/%m/%Y %H:%M:%S")
           
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            diff = (NY_time - economic_time).total_seconds()/60 #minutes
           
            if last_updates['economic']['force'] or diff >= update_frequencies['economic']:# or msg == 'c':
                economic_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")               
                last_updates['economic']['time'] = economic_time
                last_updates['economic']['force'] = False
                update_process = Process(target = updateEconomic, args = (api_key,logf))
                update_process.start()
                update_processes.append(update_process)

            
            # market
            market_time = datetime.strptime(last_updates['market']['time'], "%d/%m/%Y %H:%M:%S")
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            diff = (NY_time - market_time).total_seconds()/60 #minutes
            
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            opening = NY_time.replace(hour=9, minute=30, second=0, microsecond=0).replace(tzinfo=None)
            closing = NY_time.replace(hour=16, minute=20, second=0, microsecond=0).replace(tzinfo=None)
            stock_open = opening < NY_time < closing and datetime.today().weekday() <= 4 
            
            if last_updates['market']['force'] or (diff >= update_frequencies['market'] and stock_open):# or msg == 'c':
                market_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                last_updates['market']['time'] = market_time
                last_updates['market']['force'] = False
                last_updates['sector']['time'] = market_time
                last_updates['sector']['force'] = False
                update_process = Process(target = updateMarket, args = (api_key,logf))
                update_process.start()
                update_processes.append(update_process)

            
            
            # jokes
            jokes_time = datetime.strptime(last_updates['jokes']['time'], "%d/%m/%Y %H:%M:%S")
           
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            diff = (NY_time - jokes_time).total_seconds()/60 #minutes
           
            if last_updates['jokes']['force'] or diff >= update_frequencies['jokes']:# or msg == 'c':
                jokes_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")               
                last_updates['jokes']['time'] = jokes_time
                last_updates['jokes']['force'] = False
                update_process = Process(target = updateJokes, args = (api_key,logf))
                update_process.start()
                update_processes.append(update_process)
            
                
            # indices
            indices_time = datetime.strptime(last_updates['indices']['time'], "%d/%m/%Y %H:%M:%S")

            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            diff = (NY_time - indices_time).total_seconds()/60 #minutes

            if last_updates['indices']['force'] or diff >= update_frequencies['indices']:# or msg == 'c':
                indices_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")               
                
                last_updates['indices']['time'] = indices_time
                last_updates['indices']['force'] = False
                update_process = Process(target = updateIndices, args = (api_key,logf))
                update_process.start()
                update_processes.append(update_process)        
        
        
            # movies
            movies_time = datetime.strptime(last_updates['movies']['time'], "%d/%m/%Y %H:%M:%S")

            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            diff = (NY_time - movies_time).total_seconds()/60 #minutes

            if last_updates['movies']['force'] or diff >= update_frequencies['movies']:
                movies_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                last_updates['movies']['time'] = movies_time
                last_updates['movies']['force'] = False
                update_process = Process(target = updateMovies, args = (movie_key,logf))
                update_process.start()
                update_processes.append(update_process)
        
        
            # ipos
            ipo_time = datetime.strptime(last_updates['ipo']['time'], "%d/%m/%Y %H:%M:%S")

            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            diff = (NY_time - ipo_time).total_seconds()/60 #minutes

            if last_updates['ipo']['force'] or diff >= update_frequencies['ipo']:
                ipo_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                last_updates['ipo']['time'] = ipo_time
                last_updates['ipo']['force'] = False
                update_process = Process(target = updateIpo, args = (ipo_key,logf))
                update_process.start()
                update_processes.append(update_process)
        
        
            # weather
            weather_time = datetime.strptime(last_updates['weather']['time'], "%d/%m/%Y %H:%M:%S")

            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            diff = (NY_time - weather_time).total_seconds()/60 #minutes
            if last_updates['weather']['force'] or diff >= update_frequencies['weather']:# or msg == 'w':
                weather_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                
                #updateWeather(weather_key)
                last_updates['weather']['time'] = weather_time
                last_updates['weather']['force'] = False
                update_process = Process(target = updateWeather, args = (weather_key,logf))
                update_process.start()
                update_processes.append(update_process)
                
                
            # news
            news_time = datetime.strptime(last_updates['news']['time'], "%d/%m/%Y %H:%M:%S")
           
            
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            diff = (NY_time - news_time).total_seconds()/60 #minutes
            if last_updates['news']['force'] or diff >= update_frequencies['news']:# or msg == 'n':
                news_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                #updateNews(api_key)
                last_updates['news']['time'] = news_time
                last_updates['news']['force'] = False
                update_process = Process(target = updateNews, args = (api_key,logf))
                update_process.start()
                update_processes.append(update_process)
            
            
            
             
    
   
            # sports upcoming
            sports_time = datetime.strptime(last_updates['sports_u']['time'], "%d/%m/%Y %H:%M:%S")
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            diff = (NY_time - sports_time).total_seconds()/60 #minutes
            if last_updates['sports_u']['force'] or diff >= update_frequencies['sports']:# or msg == 'S':
                sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                #updateSports(api_key)
                last_updates['sports_u']['time'] = sports_time
                last_updates['sports_u']['force'] = False
                update_process = Process(target = updateLeagueEvents, args = (api_key,'upcoming',logf))
                update_process.start()
                update_processes.append(update_process)
            
            # sports live
            sports_time = datetime.strptime(last_updates['sports_l']['time'], "%d/%m/%Y %H:%M:%S")
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            espn_time = "17:00Z"
            espn_time_est = "12:00"
            # if datetime.now(pytz.utc).strftime("%H:%MZ") < espn_time:
            if datetime.now(pytz.timezone('America/New_York')).strftime("%H:%M") < espn_time_est:
                past_espn_time = True
            if last_updates['sports_l']['force'] or (datetime.now(pytz.timezone('America/New_York')).strftime("%H:%M") >= espn_time_est and past_espn_time):# or msg == 'S':
            # if last_updates['sports_l']['force'] or (datetime.now(pytz.utc).strftime("%H:%MZ") >= espn_time and past_espn_time):# or msg == 'S':
                sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                last_updates['sports_l']['time'] = sports_time
                last_updates['sports_l']['force'] = False
                past_espn_time = False
                update_process = Process(target = updateLeagueEvents, args = (api_key, 'livescore',logf))
                update_process.start()
                update_processes.append(update_process)

            #sports live (premier league)
            pl_time = "12:00Z"
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            sports_time = datetime.strptime(last_updates['sports_l']['time'], "%d/%m/%Y %H:%M:%S")
            if datetime.now(pytz.utc).strftime("%H:%MZ") < pl_time:
                past_pl_time = True
            if datetime.now(pytz.utc).strftime("%H:%MZ") >= pl_time and past_pl_time:# or msg == 'S':
                sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                past_pl_time = False
                last_updates['sports_l']['time'] = sports_time
                last_updates['sports_l']['force'] = False
                update_process = Process(target = updatePLtime)
                update_process.start()
                update_processes.append(update_process)
                
            # sports past
            sports_time = datetime.strptime(last_updates['sports_p']['time'], "%d/%m/%Y %H:%M:%S")
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            diff = (NY_time - sports_time).total_seconds()/60 #minutes
            if last_updates['sports_p']['force'] or diff >= update_frequencies['sports']:# or msg == 'S':
                sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                #updateSports(api_key)
                last_updates['sports_p']['time'] = sports_time
                last_updates['sports_p']['force'] = False
                update_process = Process(target = updateLeagueEvents, args = (api_key,'past',logf))
                update_process.start()
                update_processes.append(update_process)
            
            # sports table
            sports_time = datetime.strptime(last_updates['sports_t']['time'], "%d/%m/%Y %H:%M:%S")
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
            diff = (NY_time - sports_time).total_seconds()/60 #minutes
            if last_updates['sports_t']['force'] or diff >= update_frequencies['sports']:# or msg == 'S':
                sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                #updateSports(api_key)
                last_updates['sports_t']['time'] = sports_time
                last_updates['sports_t']['force'] = False
                update_process = Process(target = updateLeagueTables, args = (api_key,logf))
                update_process.start()
                update_processes.append(update_process)
            
            
                
            #forex updates once every 24hours at 1700 CET
            
            # update if last update was before the previous days closing
            forex_time = datetime.strptime(last_updates['forex']['time'], "%d/%m/%Y %H:%M:%S")
            CET_time = datetime.now(CET_zone).replace(tzinfo=None)
            yday_update = (CET_time.replace(hour=17, minute=00, second=0, microsecond=0) - dt.timedelta(days=1)).replace(tzinfo=None)
            diff = (CET_time.replace(tzinfo=None) - forex_time).total_seconds()/60
            
            opening = CET_time.replace(hour=17, minute=0, second=0, microsecond=0).replace(tzinfo=None)
            
            #forex updates between 5pm sunday and 5pm friday every hour
            forex_open = datetime.today().weekday() < 4 or (datetime.today().weekday() == 6 and CET_time > opening) or (datetime.today().weekday() == 4 and CET_time < opening)
                
            if last_updates['forex']['force'] or (diff >= update_frequencies['forex'] and forex_open):# or msg == 'f':
                forex_time = CET_time.strftime("%d/%m/%Y %H:%M:%S")
                last_updates['forex']['time'] = forex_time  
                last_updates['forex']['force'] = False
                #updateForex(api_key)
                update_process = Process(target = updateForex, args = (api_key,logf))
                update_process.start()
                update_processes.append(update_process)
                
            f = open('csv/last_updates.json', 'w+')
            json.dump(last_updates, f)
            f.close()
            for process in update_processes:
                if not process.is_alive():
                    process.join()
                    process.terminate()
                    update_processes.remove(process)
        
            time.sleep(10)
       
    except:
        pass
#         logf = open('log.txt', "a")
#         exc_type, exc_obj, exc_tb = sys.exc_info()
#         fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
#         logf.write(str(e))
#         logf.write('. file: ' + fname)
#         logf.write('. line: ' +  str(exc_tb.tb_lineno))
#         logf.write('. type: ' +  str(exc_type))
#         logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
#         logf.close()