# 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 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['sports_l']['force'] = True f = open('csv/last_updates.json', 'w') json.dump(last_updates, f) f.close() except: pass 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: 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()) 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 updateCommodities(api_key, logf): try: f = open('csv/commodities_settings.json', 'r') all_commodities_settings = json.load(f) f.close() 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 f = open('csv/commodities_settings.json', 'w+') json.dump(all_commodities_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 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 updateMovies(api_key, logf): f = open('csv/movie_settings.json', 'r') all_settings = json.load(f) f.close() 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 f = open('csv/movie_settings.json', 'w+') json.dump(all_settings, f) f.close() 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 f = open('csv/ipo_settings.json', 'r') ipo_settings = json.load(f) f.close() 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 f = open('csv/ipo_settings.json', 'w+') json.dump(ipo_settings, f) f.close() def updateIndices(api_key, logf): try: f = open('csv/indices_settings.json', 'r') all_indices_settings = json.load(f) f.close() 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 f = open('csv/indices_settings.json', 'w+') json.dump(all_indices_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 updateCrypto(api_key, logf): 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 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']} all_crypto_settings['symbols'] = coin_info f = open('csv/crypto_settings.json', 'w+') json.dump(all_crypto_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 updateForex(api_key, logf): 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: 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 f = open( "csv/forex_settings.json", 'w+' ) json.dump(all_forex_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 updateNews(api_key, logf): try: f = open('csv/news_settings.json', 'r') all_settings = json.load(f) f.close() 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 f = open('csv/news_settings.json', 'w+') json.dump(all_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 updateWeather(api_key, logf): 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_weathers = {} daily_weathers = {} 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_weathers[location] = 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_weathers[location] = daily_weather all_current_settings['locations'] = current_weathers all_daily_settings['locations'] = daily_weathers f = open( "csv/current_weather.json", 'w+' ) json.dump( all_current_settings, f) f.close() f = open( "csv/daily_weather.json", 'w+' ) json.dump( all_daily_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 updateLeagueTables(api_key, logf): 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() for i,l in enumerate(all_data): league = list(l.keys())[0] 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 f = open( "csv/league_tables.json".format(league), 'w+' ) json.dump(all_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 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) 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() 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 f = open( "csv/live_games.json", 'w+' ) json.dump(all_settings, f) f.close() 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'): ten_or_fifteen = slice(3) elif (league == 'F1') or (league == 'NASCAR'): ten_or_fifteen = slice(5) else: ten_or_fifteen = slice(None) for d in all_data[league][ten_or_fifteen]: event = {} event['date'] = d['dateEvent'] 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'] 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'] 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'] 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 f = open( "csv/{}_games.json".format(time), 'w+' ) json.dump(all_settings, f) f.close() 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':5, 'forex':60, 'news':120, 'weather': 120, 'sports': 1440, 'commodities': 15, 'indices': 15, 'movies': 1440, 'ipo': 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 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 = {"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}} 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) # 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) # 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()