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 finnhub
import time
import csv
import pytz
from datetime import datetime, timedelta
import json
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 

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 updateStocksFinhubb():
    max_stocks = 200
    finnhubsandboxAPIkey = "sandbox_c24qddqad3ickpckgg8g" #Finnhub
    finnhubAPIkey = "c24qddqad3ickpckgg80" #Finnhub
    finnhubClient = finnhub.Client(api_key=finnhubAPIkey)
    

    symbols, stock_info = readJSON('csv/tickers.csv', max_stocks)
    try:
        quotes = [finnhubClient.quote(symbol) for symbol in symbols]
        current_prices = [quote['c'] for quote in quotes]
        opening_prices = [quote['o'] for quote in quotes]
       


        CSV = open('csv/tickers.csv', 'w+')
        CSV.write('name,current,opening\n')
        for i, symbol in enumerate(symbols):
        
            CSV.write(symbol + ',' + str(current_prices[i]) + ',' +  str(opening_prices[i]) + '\n')
        CSV.close()
        

            
    except Exception as e:
        
        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])))

def updateStocks():
   
    
    try:
       

        max_stocks = 200

        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())
        print(symbols)
    
        url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/stocks?symbols='
        
        for symbol in symbols:
            url += symbol + ','
        response = requests.get(url)
        data = response.json()
       
            
        stock_info = {}
        
        for stock in data:
            stock_info[stock['symbol']] = {'current': stock['price'], 'opening': float(stock['price']) - float(stock['change_since'])}
        
        
        all_stocks_settings['symbols'] = stock_info
        
       
      
        json.dump(all_stocks_settings, open('csv/stocks_settings.json', 'w+'))
        
    except Exception as e:
        
        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])))
        

def updateCrypto():
    
    
    #cypto_info['symbol, base'].keys() = ['current','24hr change']
    try:
        
        
        url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/crypto?symbols=ETH-BTC'
        
        
        response = requests.get(url)
        data = response.json()
        print(data)
        sys.exit()
       
            
        stock_info = {}
        
        for stock in data:
            stock_info[stock['symbol']] = {'current': stock['price'], 'opening': float(stock['price']) - float(stock['change_since'])}
        
        
        coingecko_client = CoinGeckoAPI()
    
        f = open('csv/crypto_settings.json', 'r')
        all_crypto_settings = json.load(f)
        f.close()
        
        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))
       
       
        
        coins = []
        
        # coingecko rate limited me from calling this too often
        #coin_list = coingecko_client.get_coins_list()
        #json.dump(coin_list, open('csv/coin_list.json', 'w+'))
        
        f = open('coin_list.json', 'r')
        coin_list = json.load(f)
        f.close()
        
        # this might be super slow as coin_list is large
        for s in symbols:
            for c in coin_list:
                if c['symbol'].upper() == s and c['id'] != 'binance-peg-cardano': # hackaround for two coins with symbol ada:
                    coins.append(c['id'])
       
        crypto_info = {}
        print(coins)
        response = coingecko_client.get_price(ids=','.join(coins), vs_currencies = unique_bases, include_24hr_change=True)
        
        #print(response)
        
        
        for i,sb in enumerate(symbol_base):
            #coin_info[name] = [symbol, base]
            #info = coin_info[coin]
            #CSV.write(info[0] + ',' + coin + ',' + info[1] + ',' +str(response[coin][info[1]]) + ',' +  str(response[coin]['usd_24h_change']) + '\n')
            crypto_info[sb] = {'current':response[coins[i]][bases[i].lower()], '24hr_change':response[coins[i]]['usd_24h_change']}
            
        all_crypto_settings['symbols'] = crypto_info
        
        json.dump(all_crypto_settings, open('csv/crypto_settings.json', 'w+'))
        
    except Exception as e:
        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])))

def updateForex():
    
    
    
    try:
        f = open('csv/forex_settings.json', 'r')
        all_forex_settings = json.load(f)
        f.close()
        
        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)
        
        data = []
        for base in unique_bases:
            url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/forex?base={}&targets='.format(base)+targets
            response = requests.get(url)
            data.extend(response.json())
        
        
        

        c_dict = {}
        
        for i, sb in enumerate(symbol_base):
            
            # check symbol base has data and if so add it to c_dict
            for d in data:
                
                if d['uid'] == bases[i] + '/' + symbols[i]:
                    c_dict[sb] = {'current': d['rate'], '24hr_change': d['rate_over_24hr']}
        
     
        
        
        all_forex_settings['symbols'] = c_dict
        json.dump(all_forex_settings,  open( "csv/forex_settings.json", 'w+' ))
    except Exception as e:
        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])))


def updateNews():
    
    #'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?category=technology'
    #'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?country=GB'
    #'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?lang=en'
    
    max_per_cat = 10
    try:
        
        all_settings = json.load(open('csv/news_settings.json', 'r'))
        
        
        try:
            
            url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?country={}'.format(all_settings['country'])
            response = requests.get(url)
            data = response.json()
            
            #load user settings
            headlines = data
        except Exception as e:
            print('news ettings not used', e)
            #if no settings just get top headlines
            headlines = newsapi.get_top_headlines()
            
        headline_titles = [headline['title'] for headline in headlines['articles']]
        headline_sources = [headline['source']['name'] for headline in headlines['articles']]
        headline_times = [headline['publishedAt']for headline in headlines['articles']]
        
        headlines = list(zip(headline_titles, headline_sources, headline_times))
        all_settings['headlines'] = headlines
        
        json.dump(all_settings, open('csv/news_settings.json', 'w+'))
        
            
        
    except Exception as e:
        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])))

    
def updateWeather():
    max_cities = 30
    api_key =  'a9476947fa1a2f712076453bec4a0df5'
    try:
        gn = geocoders.GeoNames(username='fintic')
        
        f = open('csv/daily_weather.json', 'r')
        all_daily_settings = json.load(f)
        f.close()
        
        f = open('csv/current_weather.json', 'r')
        all_current_settings = json.load(f)
        f.close()
        
        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_list = []
        daily_list = []
        
        
        
        for location in all_locations:
            loc = gn.geocode(location)
            current_weather = {}
            
            lat = loc.latitude
            lon = loc.longitude
            url = 'https://api.openweathermap.org/data/2.5/onecall?lat={}&units=metric&lon={}&appid={}'.format(lat, lon, api_key)
            r = requests.get(url)
           
            weather = r.json()['current']
            
            current_weather['main_weather'] = weather['weather'][0]['main']
            current_weather['description'] = weather['weather'][0]['description']
            current_weather['temp'] = weather['temp']
            current_weather['min_temp'] = r.json()['daily'][0]['temp']['min']
            current_weather['max_temp'] = r.json()['daily'][0]['temp']['max']
            current_weather['feels_like'] = weather['feels_like']
            current_weather['humidity'] = weather['humidity']
            current_weather['clouds'] = weather['clouds']
            current_weather['wind_speed'] = weather['wind_speed']
            current_weather['wind_direction'] = weather['wind_deg']
            current_weather['visibility'] = weather['visibility']
            current_weather['uv'] = weather['uvi']
            current_weather['rain_chance'] =  r.json()['hourly'][0]['pop']
            
            
            if location in current_locations:
                current_list.append(current_weather)
            
            daily_weather = []
            daily = r.json()['daily']
            
            for day in daily:
                dct = {}
                dct['main_weather'] = day['weather'][0]['main']
                dct['description'] = day['weather'][0]['description']
                dct['min_temp'] = day['temp']['min']
                dct['max_temp'] = day['temp']['max']
                daily_weather.append(dct)
                
            #add relevant urrent information to first day in daily
            daily_weather[0]['temp'] = 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_list.append(daily_weather)
        
        current_weathers = {}
        daily_weathers = {}
            
        for i,loc in enumerate(current_locations):
            current_weathers[loc] = current_list[i]
            
        for i,loc in enumerate(daily_locations):
            daily_weathers[loc] = daily_list[i]
        
        all_current_settings['locations'] = current_weathers
        all_daily_settings['locations'] = daily_weathers
        
        json.dump( all_current_settings,  open( "csv/current_weather.json", 'w+' ))
        json.dump( all_daily_settings,  open( "csv/daily_weather.json", 'w+' ))
    
    except Exception as e:
        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])))
            
        
def updateLeagueTables(api_key, league_ids):
    
    
    try:
        f = open('csv/league_tables.json', 'r')
        all_settings = json.load(f)
        f.close()
        
        leagues = all_settings['leagues'].keys()
        leagues_info = {}
        for league in leagues:
            league_id = league_ids[league]
            url = 'https://www.thesportsdb.com/api/v1/json/{}/lookuptable.php?l={}&s=2020-2021'.format(api_key, league_id)  
            
            r = requests.get(url)
            try:
                all_data = r.json()
            except Exception as e: # there is no data available 
                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.write(url)
                continue
                
                
                
                
            teams = []
            
            
            for i in range(len(all_data['table'])):
                team = {}
                
               
                    
                team['name'] = all_data['table'][i]['strTeam']
                team['wins'] = all_data['table'][i]['intWin']
                team['loss'] = all_data['table'][i]['intLoss']
                team['draw'] = all_data['table'][i]['intDraw']
                team['played'] = all_data['table'][i]['intPlayed']
                team['standing'] = all_data['table'][i]['intRank']
                team['points'] = all_data['table'][i]['intPoints']
                
                teams.append(team)
            leagues_info[league] = teams
        all_settings['leagues'] = leagues_info
        json.dump(all_settings,  open( "csv/league_tables.json".format(league), 'w+' ))
    except Exception as e:
        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])))

    
def updateLeagueEvents(api_key, league_ids, time):
    
    if time == 'past':
        url ='https://www.thesportsdb.com/api/v1/json/{}/eventspastleague.php?id={}' #last 15 events on the league (premium only)
        f = open('csv/past_games.json')
    elif time == 'upcoming':
        url ='https://www.thesportsdb.com/api/v1/json/{}/eventsnextleague.php?id={}' #next 15 events on the league (premium only)
        f = open('csv/upcoming_games.json')
    elif time == 'live':
        f = open('csv/live_games.json')
        url = 'https://thesportsdb.com/api/v2/json/{}/livescore.php?l={}' 
        
        
    
    try:
        all_settings = json.load(f)
        f.close()
        leagues = all_settings['leagues'].keys()
        leagues_info = {}
        for league in leagues:
            league_id = league_ids[league]
            url = url.format(api_key, league_id)  
            
            r = requests.get(url)
            try:
                all_data = r.json()
            except Exception as e: # there is no data available 
                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.write(url)
                continue
                
            
            
            events = []
            
            if not all_data['events'] is None:
                
                for i in range(len(all_data['events'])):
                    event = {}
                    event['date'] = all_data['events'][i]['dateEvent']
                    
                    if time == 'live':
                        event['time'] = all_data['events'][i]['strEventTime']
                        event['progess'] = all_data['events'][i]['strProgress']
                        event['status'] = all_data['events'][i]['strStatus']
                    else:
                        event['time'] = all_data['events'][i]['strTime']
                        event['round'] = all_data['events'][i]['intRound']
                    event['home_team'] = all_data['events'][i]['strHomeTeam']
                    event['home_score'] = all_data['events'][i]['intHomeScore']
                    event['away_team'] = all_data['events'][i]['strAwayTeam']
                    event['away_score'] = all_data['events'][i]['intAwayScore']
                    
                    events.append(event)
            leagues_info[league] = events
        all_settings['leagues'] = leagues_info
        
        json.dump(all_settings,  open( "csv/{}_games.json".format(time), 'w+' ))
    except Exception as e:
        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])))
      

def updateSports():
    #read user settings to decide which sprots to update
    api_key = '97436974'
    
    
    
    league_ids = {'Premier League':'4328', 'NHL':'4380', 'NBA':'4387', 'NFL':'4391'}
    updateLeagueTables(api_key, league_ids)
    
    updateLeagueEvents(api_key, league_ids, 'live') 
    updateLeagueEvents(api_key, league_ids, 'past') 
    updateLeagueEvents(api_key, league_ids, 'upcoming') 

    

    'https://www.thesportsdb.com/api/v1/json/{}/eventsnext.php?id=133602'.format(api_key)  # next five events by team ID (paid)  use this for upcoming team games
    
    #url = 'https://www.thesportsdb.com/api/v1/json/{}/eventsseason.php?id=4328&s=2020-2021'.format(api_key) # all past events in premier league 
    
    url = 'https://www.thesportsdb.com/api/v2/json/{}/livescore.php?l=4380'.format(api_key)  #live scores


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=0, 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
            updateStocks()
        
        
    elif emptyInfo(symbols, stock_info): # if theres any empty stocks
        updated = True
        updateStocks()
        
    
    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
            updateStocks()
            
    return updated


def updateAll():
    updateStocks()
    updateCrypto()
    updateForex()
    updateNews()
    updateSports()
    updateWeather()
    
            
if __name__ == '__main__':
    logf = open("log.txt", "a")
    
    t = time.time()
    
    
    
    updateNews()
    sys.exit()
    
    
    
    
    newsapi = NewsApiClient(api_key='cf08652bd17647b89aaf469a1a8198a9')
    

    update_frequencies = {'stocks':1, 'crypto':5, 'forex':60, 'news':120, 'weather': 120, 'sports': 120} #minutes

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

    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()
  
   
    try:
        f = open('csv/last_updates.json', 'r')
        last_updates = json.load(f)
        f.close()
        
    except:
        last_updates = {"stocks": "27/06/2021 07:05:39", "crypto": "27/06/2021 07:05:39", "news": "27/06/2021 07:05:39", "weather": "27/06/2021 07:05:39", "forex": "27/06/2021 07:05:39", "sports": "27/06/2021 07:05:39"} 
    
    t = time.time()

    try:
        while True:
            
            
            NY_time = datetime.now(NY_zone).replace(tzinfo=None)
         
            msg = getInput()
            if msg == 'A':
                updateAll()
            
            #stocks
            stock_time = datetime.strptime(last_updates['stocks'], "%d/%m/%Y %H:%M:%S")
            stock_frequency = update_frequencies['stocks']
            if checkStocks(stock_time, stock_frequency) or msg == 's':
                stock_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                last_updates['stocks'] = stock_time
                updateStocks()
                
            # crypto
            crypto_time = datetime.strptime(last_updates['crypto'], "%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 diff >= update_frequencies['crypto'] or msg == 'c':
                crypto_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                updateCrypto()
                last_updates['crypto'] = crypto_time
                    
                    
            # weather
            weather_time = datetime.strptime(last_updates['weather'], "%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 diff >= update_frequencies['weather'] or msg == 'w':
                weather_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                updateWeather()
                last_updates['weather'] = weather_time
                
                
            # news
            news_time = datetime.strptime(last_updates['news'], "%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 diff >= update_frequencies['news'] or msg == 'n':
                news_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                updateNews()
                last_updates['news'] = news_time
                
            # sports
            sports_time = datetime.strptime(last_updates['sports'], "%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 diff >= update_frequencies['sports'] or msg == 'S':
                sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
                updateSports()
                last_updates['sports'] = sports_time
                
            #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'], "%d/%m/%Y %H:%M:%S")
            CET_time = datetime.now(CET_zone)
            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 forex_time < yday_update or msg == 'f' or (diff >= update_frequencies['forex'] and forex_open):
                forex_time = CET_time.strftime("%d/%m/%Y %H:%M:%S")
                last_updates['forex'] = forex_time  
                updateForex()
                
         
            json.dump(last_updates, open('csv/last_updates.json', 'w+'))
       
                
    except Exception as e: 
        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])))