# 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 from multiprocessing import Process 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): print('STOCKS') 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 + ',' url += '&apiKey=' + api_key response = requests.get(url) data = response.json() #print(response) #print(dir(response)) #print(len(data)) 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 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(api_key, logf): print('CRYPTO') #cypto_info['symbol, base'].keys() = ['current','24hr change'] try: 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)) 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 #print(url) response = requests.get(url) data = response.json() #print(url) #print(data) 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']} all_crypto_settings['symbols'] = coin_info f = open('csv/crypto_settings.json', 'w+') json.dump(all_crypto_settings, f) f.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 updateForex(api_key, logf): print('FOREX') 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) 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: #print(data) 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 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(api_key, logf): #'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' print('NEWS') try: all_settings = json.load(open('csv/news_settings.json', 'r')) 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'} 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() #print(data) 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)) #print(headlines) 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(api_key, logf): print('WEATHER') max_cities = 30 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()) print(current_locations, daily_locations) all_locations = list(set(current_locations + daily_locations)) print(all_locations) currents = [] dailys = [] 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'] currents.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'] dailys.append(daily_weather) current_weathers = {} daily_weathers = {} for l in current_locations: for i,loc in enumerate(all_locations): if l == loc: current_weathers[location] = currents[i] for l in daily_locations: for i,loc in enumerate(all_locations): if l == loc: daily_weathers[location] = dailys[i] all_current_settings['locations'] = current_weathers all_daily_settings['locations'] = daily_weathers #print(all_current_settings, all_daily_settings) 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, logf): print('LEAGUE TABLES') url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/sports?stats=' try: f = open('csv/league_tables.json', 'r') all_settings = json.load(f) #print(all_settings['leagues'].keys()) f.close() 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() #print('key', [all_data[i].keys() for i in range(len(all_data))]) #print('key', all_data.keys()) for i,l in enumerate(all_data): #print(l) league = list(l.keys())[0] #print('league', league, list(l.keys())) teams = [] 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 #print(all_settings['leagues'].keys()) 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, time, logf): print('LEAGUE EVENTS', time) url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/sports?{}='.format(time) 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') try: all_settings = json.load(f) #print(all_settings['leagues'].keys()) f.close() 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() #print(all_data) for league in all_data.keys(): events = [] for d in all_data[league]: event = {} event['date'] = d['dateEvent'] if time == 'live': event['progess'] = d['strProgress'] event['status'] = d['strStatus'] else: event['round'] = d['intRound'] event['time'] = d['strTime'] event['home_team'] = d['strHomeTeam'] event['away_team'] = d['strAwayTeam'] if time != 'upcoming': event['away_score'] = d['intAwayScore'] event['home_score'] = d['intHomeScore'] events.append(event) leagues_info[league.upper()] = events all_settings['leagues'] = leagues_info #print(all_settings['leagues'].keys()) 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(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=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 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) if __name__ == '__main__': logf = open("log.txt", "a") t = time.time() update_frequencies = {'stocks':1, 'crypto':5, 'forex':60, 'news':120, 'weather': 120, 'sports': 1440} #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 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]))) t = time.time() update_processes = [] try: while True: try: f = open('csv/last_updates.json', 'r') last_updates = json.load(f) f.close() except: last_updates = {"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}} 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=0, 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) # 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) # 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) diff = (NY_time - sports_time).total_seconds()/60 #minutes if last_updates['sports_l']['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_l']['time'] = sports_time last_updates['sports_l']['force'] = False update_process = Process(target = updateLeagueEvents, args = (api_key, 'livescore',logf)) 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) print('Number active database caller processes', len(update_processes)) time.sleep(10) except Exception as e: print(e) raise 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])))