# 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): 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']} print(stock_info) 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): #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(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 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(api_key): 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): #'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' 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): 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()) 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 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): 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) 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[0].keys(): teams = [] for d in all_data[0][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 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): 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) 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) #events = [] #for league in all_data.keys(): #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'] = all_data 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): #read user settings to decide which sprots to update updateLeagueTables(api_key) updateLeagueEvents(api_key,'livescore') updateLeagueEvents(api_key,'past') updateLeagueEvents(api_key,'upcoming') 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): updateStocks(api_key) updateCrypto(api_key) updateForex(api_key) updateNews(api_key) updateSports(api_key) if weather_key: updateWeather(weather_key) 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('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() 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]))) 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() update_processes = [] try: while True: NY_time = datetime.now(NY_zone).replace(tzinfo=None) msg = getInput() if msg == 'A': update_process = Process(target = updateAll, args = (api_key,weather_key)) update_process.start() update_processes.append(update_process) stock_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") last_updates['stocks'] = stock_time last_updates['crypto'] = stock_time last_updates['weather'] = stock_time last_updates['news'] = stock_time last_updates['sports'] = stock_time CET_time = datetime.now(CET_zone) forex_time = CET_time.strftime("%d/%m/%Y %H:%M:%S") last_updates['forex'] = forex_time NY_time = datetime.now(NY_zone).replace(tzinfo=None) #stocks stock_time = datetime.strptime(last_updates['stocks'], "%d/%m/%Y %H:%M:%S") stock_frequency = update_frequencies['stocks'] diff = (NY_time - stock_time).total_seconds()/60 #minutes if diff >= update_frequencies['stocks'] or msg == 's': stock_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") last_updates['stocks'] = stock_time #updateStocks(api_key) update_process = Process(target = updateStocks, args = (api_key,)) update_process.start() update_processes.append(update_process) # 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(api_key) last_updates['crypto'] = crypto_time update_process = Process(target = updateCrypto, args = (api_key,)) update_process.start() update_processes.append(update_process) # 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(weather_key) last_updates['weather'] = weather_time update_process = Process(target = updateWeather, args = (weather_key,)) update_process.start() update_processes.append(update_process) # 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(api_key) last_updates['news'] = news_time update_process = Process(target = updateNews, args = (api_key,)) update_process.start() update_processes.append(update_process) # 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(api_key) last_updates['sports'] = sports_time update_process = Process(target = updateSports, args = (api_key,)) 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'], "%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(api_key) update_process = Process(target = updateForex, args = (api_key,)) update_process.start() update_processes.append(update_process) json.dump(last_updates, open('csv/last_updates.json', 'w+')) for process in update_processes: if not process.is_alive(): process.join() process.terminate() 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])))