# Copyright (C) 2020 Fintic, finticofficial@gmail.com # # This file is part of Fintic project, developed by Neythen Treloar and Justin Dunn # # This code can not be copied and/or distributed without the express # permission of Fintic import random import pickle import finnhub import time import csv import pytz from datetime import datetime, timedelta import subprocess import json import urllib.request import datetime as dt import sys, os, base64, hashlib, hmac, select import requests from pycoingecko import CoinGeckoAPI from newsapi import NewsApiClient import traceback from geopy import geocoders from multiprocessing import Process try: time.sleep(80) f = open('csv/last_updates.json', 'r') last_updates = json.load(f) f.close() last_updates['stocks']['force'] = True last_updates['prepost']['force'] = True last_updates['sports_l']['force'] = True last_updates['market']['force'] = True f = open('csv/last_updates.json', 'w') json.dump(last_updates, f) f.close() except: pass try: f = open('csv/scheduler.json', 'r') schedules = json.load(f) f.close() shutdown_schedule_hour = schedules['shutdown']['hour'] shutdown_schedule_minute = schedules['shutdown']['minute'] reboot_schedule_hour = schedules['reboot']['hour'] reboot_schedule_minute = schedules['reboot']['minute'] timezone = schedules['timezone'] shutdown_enabled = schedules['shutdown']['enabled'] reboot_enabled = schedules['reboot']['enabled'] except: shutdown_schedule_hour = "00" shutdown_schedule_minute = "00" reboot_schedule_hour = "00" reboot_schedule_minute = "00" timezone = "GMT" shutdown_enabled = False reboot_enabled = False def getInput(Block=False): if Block or select.select([sys.stdin], [], [], 0) == ([sys.stdin], [], []): msg = sys.stdin.read(1) #sys.stdin.flush() else: msg = '' return msg def emptyInfo(symbols, stock_info): update = False for symbol in symbols: if stock_info[symbol] == -1: # stock with no info update = True return update def updateUpdate(NY_time): NY_str = NY_time.strftime("%d/%m/%Y %H:%M:%S") f = open('csv/last_update.csv', 'w+') f.write(NY_str + '\n') f.close() # def updateStocks(api_key, logf): # try: # f = open('csv/stocks_settings.json', 'r') # all_stocks_settings = json.load(f) # f.close() # stock_info = all_stocks_settings['symbols'] # symbols = list(stock_info.keys()) # url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/stocks?symbols=' # for symbol in symbols: # url += symbol + ',' # url += '&apiKey=' + api_key # response = requests.get(url) # data = response.json() # # stock_info = {} # if len(data) > 0: # for symbol in symbols: # for stock in data: # if stock['symbol'] == symbol: # stock_info[stock['symbol']] = {'current': stock['price'], 'change': stock['change_since'], 'percent_change':stock['percent']} # all_stocks_settings['symbols'] = stock_info # f = open('csv/stocks_settings.json', 'w+') # json.dump(all_stocks_settings, f) # f.close() # except: # pass #logf = open('log.txt', "a") #exc_type, exc_obj, exc_tb = sys.exc_info() #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1] #logf.write(str(e)) #logf.write('. file: ' + fname) #logf.write('. line: ' + str(exc_tb.tb_lineno)) #logf.write('. type: ' + str(exc_type)) #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]))) #logf.close() def getCookiesnCrumb(): headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'} cookie_url = 'https://finance.yahoo.com' crumb_url = 'https://query1.finance.yahoo.com/v1/test/getcrumb' session = requests.Session() session.get(cookie_url, headers=headers) crumb = session.get(crumb_url, headers=headers).content.decode('utf-8') with open('session.txt', 'wb') as f: pickle.dump(session, f) with open('crumb.txt', 'w') as f: f.write(crumb) def human_format(num): num = float('{:.3g}'.format(num)) magnitude = 0 while abs(num) >= 1000: magnitude += 1 num /= 1000.0 return '{}{}'.format('{:f}'.format(num).rstrip('0').rstrip('.'), ['', 'K', 'M', 'B', 'T'][magnitude]) def updateStocks(api_key, logf): try: try: f = open('csv/stocks_settings.json', 'r') all_stocks_settings = json.load(f) f.close() except: all_stocks_settings = {"feature": "Stocks", "speed": "medium", "speed2": "medium", "animation": "down", "percent": False, "point": True, "logos": True, "chart": False, "title": True, "symbols": {"AAPL": {"current": "164.02", "change": "-1.59", "percent_change": "-0.97"}, "MSFT": {"current": "288.29", "change": "-1.32", "percent_change": "-0.46"}, "GOOG": {"current": "2586.74", "change": "-34.01", "percent_change": "-1.31"}, "NFLX": {"current": "380.52", "change": "-7.59", "percent_change": "-1.99"}}, "prepost": False, "lohivol": False, "display_name": False} stock_info = all_stocks_settings['symbols'] symbols = list(stock_info.keys()) headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'} # url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/stocks?symbols=' url1 = 'https://query1.finance.yahoo.com/v7/finance/quote?fields=longName,regularMarketPrice,regularMarketChangePercent,regularMarketChange,regularMarketDayHigh,regularMarketDayLow,regularMarketVolume®ion=US&lang=en-US&symbols=' url2 = 'https://cloud.iexapis.com/v1/stock/market/batch?&types=quote&token=pk_aff870df1a984daa9dd43c71801c1936&symbols=' url = random.choice([url1, url2]) for symbol in symbols: url += symbol + ',' # url += '&apiKey=' + api_key if 'cloud.iexapis.com' in url: response = requests.get(url, headers=headers) data = response.json() if len(data) > 0: for symbol in symbols: try: if 'name' in stock_info[data[symbol]['quote']['symbol']] and stock_info[data[symbol]['quote']['symbol']]['name'] != '': stock_info[data[symbol]['quote']['symbol']] = {'current': str(data[symbol]['quote']['latestPrice']), 'change': str(data[symbol]['quote']['change']), 'percent_change': str(data[symbol]['quote']['changePercent'] * 100), 'day_low': str(data[symbol]['quote']['low']), 'day_high': str(data[symbol]['quote']['high']), 'volume': str(human_format(data[symbol]['quote']['latestVolume'])), 'name': stock_info[data[symbol]['quote']['symbol']]['name']} else: stock_info[data[symbol]['quote']['symbol']] = {'current': str(data[symbol]['quote']['latestPrice']), 'change': str(data[symbol]['quote']['change']), 'percent_change': str(data[symbol]['quote']['changePercent'] * 100), 'day_low': str(data[symbol]['quote']['low']), 'day_high': str(data[symbol]['quote']['high']), 'volume': str(human_format(data[symbol]['quote']['latestVolume'])), 'name': data[symbol]['quote']['companyName'].split(' - ')[0].replace('Corp.', 'Corp').replace('Corporation', 'Corp')} except: pass all_stocks_settings['symbols'] = stock_info with open('csv/stocks_settings.json', 'w+') as f: json.dump(all_stocks_settings, f) elif 'query1.finance.yahoo.com/v7' in url: url = url.replace('BRK.A', 'BRK-A').replace('BRK.B', 'BRK-B') response = requests.get(url, headers=headers) data = response.json() if "'error': {'code'" in str(data): while True: try: with open('session.txt', 'rb') as f: session = pickle.load(f) with open('crumb.txt', 'r') as f: crumb = f.read() except: getCookiesnCrumb() with open('session.txt', 'rb') as f: session = pickle.load(f) with open('crumb.txt', 'r') as f: crumb = f.read() params = {'crumb': crumb} data = session.get(url, headers=headers, params=params).json() if "'error': {'code'" not in str(data): break else: getCookiesnCrumb() time.sleep(5) # stock_info = {} if len(data) > 0: for symbol in symbols: try: for stock in data['quoteResponse']['result']: if stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B') == symbol and 'name' in stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')] and stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')]['name'] != '': stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')] = {'current': str(stock['regularMarketPrice']), 'change': str(stock['regularMarketChange']), 'percent_change': str(stock['regularMarketChangePercent']), 'day_low': str(stock['regularMarketDayLow']), 'day_high': str(stock['regularMarketDayHigh']), 'volume': str(human_format(stock['regularMarketVolume'])), 'name': stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')]['name']} elif stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B') == symbol and 'name' not in stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')]: stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')] = {'current': str(stock['regularMarketPrice']), 'change': str(stock['regularMarketChange']), 'percent_change': str(stock['regularMarketChangePercent']), 'day_low': str(stock['regularMarketDayLow']), 'day_high': str(stock['regularMarketDayHigh']), 'volume': str(human_format(stock['regularMarketVolume'])), 'name': stock['longName'].replace(',','').replace('Inc.','Inc').replace('Corporation', 'Corp').replace('Ltd.', 'Ltd').replace('Limited','Ltd')} except: pass all_stocks_settings['symbols'] = stock_info with open('csv/stocks_settings.json', 'w+') as f: json.dump(all_stocks_settings, f) except: pass #logf = open('log.txt', "a") #exc_type, exc_obj, exc_tb = sys.exc_info() #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1] #logf.write(str(e)) #logf.write('. file: ' + fname) #logf.write('. line: ' + str(exc_tb.tb_lineno)) #logf.write('. type: ' + str(exc_type)) #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]))) #logf.close() def updateStocksPrePost(api_key, logf): try: f = open('csv/stocks_settings.json', 'r') all_stocks_settings = json.load(f) f.close() stock_info = all_stocks_settings['symbols'] symbols = list(stock_info.keys()) #KEEP THIS JUST IN CASE V7 GOES DOWN prepost_url = 'https://query2.finance.yahoo.com/v6/finance/quote?symbols=' prepost_url = 'https://query2.finance.yahoo.com/v6/finance/quote?symbols=' for symbol in symbols: prepost_url += symbol + ',' prepost_url += '&fields=regularMarketPreviousClose,regularMarketPrice,preMarketPrice,preMarketChangePercent,regularMarketChangePercent,regularMarketChange,preMarketChange,postMarketPrice,postMarketChange,postMarketChangePercent®ion=US&lang=en-US' headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'} prepost = requests.get(prepost_url.replace('BRK.A', 'BRK-A').replace('BRK.B', 'BRK-B'), headers=headers).json() if "'error': {'code'" in str(prepost): while True: try: with open('session.txt', 'rb') as f: session = pickle.load(f) with open('crumb.txt', 'r') as f: crumb = f.read() except: getCookiesnCrumb() with open('session.txt', 'rb') as f: session = pickle.load(f) with open('crumb.txt', 'r') as f: crumb = f.read() params = {'crumb': crumb} prepost = session.get(prepost_url.replace('v6','v7').replace('BRK.A', 'BRK-A').replace('BRK.B', 'BRK-B'), headers=headers, params=params).json() if "'error': {'code'" not in str(prepost): break else: getCookiesnCrumb() time.sleep(5) prepost_data = prepost['quoteResponse']['result'] time_now = datetime.now(pytz.timezone('America/New_York')).strftime("%H:%M EST") if len(prepost_data) > 0: for symbol in symbols: try: for stock in prepost_data: if stock['symbol'] == symbol: stock_info[stock['symbol']] = {"time_now":time_now} try: stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')]['Pre-market'] = {'preprice': '%.2f' % stock['preMarketPrice'], 'prechange': '%.2f' % stock['preMarketChange'], 'prepercent': '%.2f' % stock['preMarketChangePercent']} except: try: stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')]['Pre-market'] = {'preprice': '%.2f' % stock['postMarketPrice'], 'prechange': '%.2f' % 0, 'prepercent': '%.2f' % 0} except: stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')]['Pre-market'] = {'preprice': '%.2f' % stock['regularMarketPrice'], 'prechange': '%.2f' % 0, 'prepercent': '%.2f' % 0} try: stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')]['Post-market'] = {'postprice': '%.2f' % stock['postMarketPrice'], 'postchange': '%.2f' % stock['postMarketChange'], 'postpercent': '%.2f' % stock['postMarketChangePercent']} except: stock_info[stock['symbol'].replace('BRK-A', 'BRK.A').replace('BRK-B', 'BRK.B')]['Post-market'] = {'postprice': '%.2f' % stock['regularMarketPrice'], 'postchange': '%.2f' % 0, 'postpercent': '%.2f' % 0} except: pass all_stocks_settings['symbols'] = stock_info with open('csv/prepost_settings.json', 'w+') as f: json.dump(all_stocks_settings['symbols'], f) except: pass def updateCommodities(api_key, logf): try: try: f = open('csv/commodities_settings.json', 'r') all_commodities_settings = json.load(f) f.close() except: all_commodities_settings = {"feature": "Stocks", "speed": "fast", "speed2": "fast", "animation": "down", "percent": True, "point": True, "logos": True, "chart": False, "title": True, "symbols": {"BRENTOIL": {"current": "123.053", "unit": "bbl", "24hr_change": "1.0150", "percent_change": "0.83"}, "WTIOIL": {"current": "121.588", "unit": "bbl", "24hr_change": "0.8902", "percent_change": "0.74"}, "XAU": {"current": "1821.205", "unit": "oz", "24hr_change": "4.0045", "percent_change": "0.22"}, "XAG": {"current": "21.1034", "unit": "oz", "24hr_change": "-0.0550", "percent_change": "-0.26"}, "XCU": {"current": "0.2633", "unit": "oz", "24hr_change": "-0.0006", "percent_change": "-0.22"}, "NG": {"current": "8.6595", "unit": "mmbtu", "24hr_change": "-0.0236", "percent_change": "-0.27"}, "WHEAT": {"current": "393.123", "unit": "ton", "24hr_change": "-1.2642", "percent_change": "-0.32"}, "COTTON": {"current": "1.4494", "unit": "lb", "24hr_change": "0.0004", "percent_change": "0.03"}, "RICE": {"current": "16.3849", "unit": "cwt", "24hr_change": "0.0093", "percent_change": "0.06"}, "SUGAR": {"current": "0.1866", "unit": "lb", "24hr_change": "-0.0007", "percent_change": "-0.40"}, "COCOA": {"current": "2374.074", "unit": "ton", "24hr_change": "2.5206", "percent_change": "0.11"}, "LUMBER": {"current": "527.842", "unit": "oz", "24hr_change": "0.2641", "percent_change": "0.05"}, "SOYBEAN": {"current": "17.1621", "unit": "bu", "24hr_change": "0.0270", "percent_change": "0.16"}}} commodity_info = all_commodities_settings['symbols'] symbols = list(commodity_info.keys()) url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/commodities?symbols=' for symbol in symbols: url += symbol + ',' url += '&apiKey=' + api_key response = requests.get(url) data = response.json() commodity_info = {} if len(data) > 0: for symbol in symbols: for commodity in data: if commodity['symbol'] == symbol: commodity_info[commodity['symbol']] = {'current': commodity['price'], 'unit': commodity['unit'], '24hr_change': commodity['price_over_24hr'], 'percent_change': commodity['percent_over_24hr']} all_commodities_settings['symbols'] = commodity_info with open('csv/commodities_settings.json', 'w+') as f: json.dump(all_commodities_settings, f) except: pass #logf = open('log.txt', "a") #exc_type, exc_obj, exc_tb = sys.exc_info() #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1] #logf.write(str(e)) #logf.write('. file: ' + fname) #logf.write('. line: ' + str(exc_tb.tb_lineno)) #logf.write('. type: ' + str(exc_type)) #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]))) #logf.close() def updateMovies(api_key, logf): try: f = open('csv/movie_settings.json', 'r') all_settings = json.load(f) f.close() except: all_settings = {"feature": "Movies", "speed": "fast", "speed2": "fast", "animation": "continuous", "category": "Popular All", "title": True, "movies": [{"title": "Avatar: The Way of Water", "language": "EN", "votes": "8.1", "date": "2022-12-14", "media_type": "Movie", "genre": ["Sci-Fi", "Action", "Adventure"], "backdrop": "198vrF8k7mfQ4FjDJsBmdQcaiyq.jpg", "logo": "https://image.tmdb.org/t/p/w500/198vrF8k7mfQ4FjDJsBmdQcaiyq.jpg"}, {"title": "Violent Night", "language": "EN", "votes": "7.3", "date": "2022-11-30", "media_type": "Movie", "genre": ["Action", "Comedy", "Crime", "Thriller"], "backdrop": "g9Kb3RaLjsybI1jpqHQ3QZTCYpB.jpg", "logo": "https://image.tmdb.org/t/p/w500/g9Kb3RaLjsybI1jpqHQ3QZTCYpB.jpg"}, {"title": "Avatar", "language": "EN", "votes": "7.5", "date": "2009-12-15", "media_type": "Movie", "genre": ["Action", "Adventure", "Fantasy", "Sci-Fi"], "backdrop": "Yc9q6QuWrMp9nuDm5R8ExNqbEq.jpg", "logo": "https://image.tmdb.org/t/p/w500/Yc9q6QuWrMp9nuDm5R8ExNqbEq.jpg"}, {"title": "The Banshees of Inisherin", "language": "EN", "votes": "7.7", "date": "2022-10-21", "media_type": "Movie", "genre": ["Drama", "Comedy"], "backdrop": "9Md4CqzUGDtK5oEkRRvozLkGc9d.jpg", "logo": "https://image.tmdb.org/t/p/w500/9Md4CqzUGDtK5oEkRRvozLkGc9d.jpg"}, {"title": "Wednesday", "language": "EN", "votes": "8.8", "date": "2022-11-23", "media_type": "Tv", "genre": ["Sci-Fi & Fantasy", "Mystery", "Comedy"], "backdrop": "iHSwvRVsRyxpX7FE7GbviaDvgGZ.jpg", "logo": "https://image.tmdb.org/t/p/w500/iHSwvRVsRyxpX7FE7GbviaDvgGZ.jpg"}, {"title": "1923", "language": "EN", "votes": "8.8", "date": "2022-12-18", "media_type": "Tv", "genre": ["Drama", "Western"], "backdrop": "9I6LgZ5110ycg4pyobJxGTFWFCF.jpg", "logo": "https://image.tmdb.org/t/p/w500/9I6LgZ5110ycg4pyobJxGTFWFCF.jpg"}, {"title": "The Recruit", "language": "EN", "votes": "7.2", "date": "2022-12-16", "media_type": "Tv", "genre": ["Drama", "Crime"], "backdrop": "rey2eh6752C2UbGYRileKk1PVTo.jpg", "logo": "https://image.tmdb.org/t/p/w500/rey2eh6752C2UbGYRileKk1PVTo.jpg"}, {"title": "Black Adam", "language": "EN", "votes": "7.2", "date": "2022-10-19", "media_type": "Movie", "genre": ["Action", "Fantasy", "Sci-Fi"], "backdrop": "bQXAqRx2Fgc46uCVWgoPz5L5Dtr.jpg", "logo": "https://image.tmdb.org/t/p/w500/bQXAqRx2Fgc46uCVWgoPz5L5Dtr.jpg"}, {"title": "Nanny", "language": "EN", "votes": "5.4", "date": "2022-11-23", "media_type": "Movie", "genre": ["Horror", "Drama"], "backdrop": "nfuPlOK6ywGzKGb0yf7VJKyTFWb.jpg", "logo": "https://image.tmdb.org/t/p/w500/nfuPlOK6ywGzKGb0yf7VJKyTFWb.jpg"}, {"title": "Tom Clancys Jack Ryan", "language": "EN", "votes": "7.7", "date": "2018-08-30", "media_type": "Tv", "genre": ["Action & Adventure", "Drama", "War & Politics"], "backdrop": "6ovk8nrrSmN1ieT14zBAxcHbMU7.jpg", "logo": "https://image.tmdb.org/t/p/w500/6ovk8nrrSmN1ieT14zBAxcHbMU7.jpg"}, {"title": "High Heat", "language": "EN", "votes": "6.5", "date": "2022-12-16", "media_type": "Movie", "genre": ["Action", "Comedy", "Crime"], "backdrop": "gjNM0odqkq5F7V58OjfTxPJ9p9Z.jpg", "logo": "https://image.tmdb.org/t/p/w500/gjNM0odqkq5F7V58OjfTxPJ9p9Z.jpg"}, {"title": "A Not So Merry Christmas", "language": "ES", "votes": "4.8", "date": "2022-12-20", "media_type": "Movie", "genre": ["Comedy"], "backdrop": "8uyJzaiGbiezZ9K48Cy5wXeqnYw.jpg", "logo": "https://image.tmdb.org/t/p/w500/8uyJzaiGbiezZ9K48Cy5wXeqnYw.jpg"}, {"title": "Guillermo del Toros Pinocchio", "language": "EN", "votes": "8.5", "date": "2022-11-09", "media_type": "Movie", "genre": ["Animation", "Fantasy", "Drama"], "backdrop": "e782pDRAlu4BG0ahd777n8zfPzZ.jpg", "logo": "https://image.tmdb.org/t/p/w500/e782pDRAlu4BG0ahd777n8zfPzZ.jpg"}, {"title": "His Dark Materials", "language": "EN", "votes": "8.0", "date": "2019-11-03", "media_type": "Tv", "genre": ["Sci-Fi & Fantasy", "Drama"], "backdrop": "dGOhplPZTL0SKyb0ocTFBHIuKUC.jpg", "logo": "https://image.tmdb.org/t/p/w500/dGOhplPZTL0SKyb0ocTFBHIuKUC.jpg"}, {"title": "The Fabelmans", "language": "EN", "votes": "7.8", "date": "2022-11-11", "media_type": "Movie", "genre": ["Drama", "Comedy"], "backdrop": "6RCf9jzKxyjblYV4CseayK6bcJo.jpg", "logo": "https://image.tmdb.org/t/p/w500/6RCf9jzKxyjblYV4CseayK6bcJo.jpg"}, {"title": "The Seven Deadly Sins: Grudge of Edinburgh Part 1", "language": "JA", "votes": "7.8", "date": "2022-12-20", "media_type": "Movie", "genre": ["Animation", "Fantasy", "Adventure", "Action"], "backdrop": "24fe6ou97ammOg3O6ShCgaiolp4.jpg", "logo": "https://image.tmdb.org/t/p/w500/24fe6ou97ammOg3O6ShCgaiolp4.jpg"}, {"title": "Mindcage", "language": "EN", "votes": "7.6", "date": "2022-12-16", "media_type": "Movie", "genre": ["Mystery", "Thriller", "Crime", "Drama"], "backdrop": "An2M2gm0p8POaiGTcZvP1JnUItH.jpg", "logo": "https://image.tmdb.org/t/p/w500/An2M2gm0p8POaiGTcZvP1JnUItH.jpg"}, {"title": "Private Lesson", "language": "TR", "votes": "7.3", "date": "2022-12-16", "media_type": "Movie", "genre": ["Comedy", "Romance"], "backdrop": "uZtYhcnk3WWvUzQkJLqnNywMQpb.jpg", "logo": "https://image.tmdb.org/t/p/w500/uZtYhcnk3WWvUzQkJLqnNywMQpb.jpg"}, {"title": "Sonic Prime", "language": "EN", "votes": "8.7", "date": "2022-12-15", "media_type": "Tv", "genre": ["Animation", "Family"], "backdrop": "1Iiz2uLcZuLn4Khog2yiKpbl11.jpg", "logo": "https://image.tmdb.org/t/p/w500/1Iiz2uLcZuLn4Khog2yiKpbl11.jpg"}, {"title": "The Big 4", "language": "ID", "votes": "7.0", "date": "2022-12-19", "media_type": "Movie", "genre": ["Action", "Comedy", "Crime"], "backdrop": "clO1mWRYT24ogzN3o6LsqHjqrQu.jpg", "logo": "https://image.tmdb.org/t/p/w500/clO1mWRYT24ogzN3o6LsqHjqrQu.jpg"}]} if all_settings['category'] == 'Popular Movies': url = 'https://api.themoviedb.org/3/trending/movie/day?' movieGenre_url = 'https://api.themoviedb.org/3/genre/movie/list?api_key=' + api_key + '&language=en-US' movieGenre_response = requests.get(movieGenre_url) movie_genres = movieGenre_response.json() elif all_settings['category'] == 'Popular TV': url = 'https://api.themoviedb.org/3/trending/tv/day?' tvGenre_url = 'https://api.themoviedb.org/3/genre/tv/list?api_key=' + api_key + '&language=en-US' tvGenre_response = requests.get(tvGenre_url) tv_genres = tvGenre_response.json() elif all_settings['category'] == 'Popular All': url = 'https://api.themoviedb.org/3/trending/all/day?' movieGenre_url = 'https://api.themoviedb.org/3/genre/movie/list?api_key=' + api_key + '&language=en-US' movieGenre_response = requests.get(movieGenre_url) movie_genres = movieGenre_response.json() tvGenre_url = 'https://api.themoviedb.org/3/genre/tv/list?api_key=' + api_key + '&language=en-US' tvGenre_response = requests.get(tvGenre_url) tv_genres = tvGenre_response.json() url += 'api_key=' + api_key response = requests.get(url) data = response.json() this_out = [] logo_files = [] if len(data) > 0: movies = data['results'] for movie in movies: if movie['media_type'] == 'movie': movie_id = movie['id'] box_office_url = 'https://api.themoviedb.org/3/movie/' + str(movie_id) + '?api_key=' + api_key box_office_response = requests.get(box_office_url) box_office_data = box_office_response.json() budget = human_format(box_office_data['budget']) revenue = human_format(box_office_data['revenue']) else: budget = '0' revenue = '0' movie_language = movie['original_language'] movie_votes = movie['vote_average'] movie_votes = "{:.1f}".format(movie_votes) try: movie_titles = movie['title'] movie_date = movie['release_date'] except KeyError: movie_titles = movie['name'] movie_date = movie['first_air_date'] movie_type = movie['media_type'] movie_genre = movie['genre_ids'] movie_logo = 'https://image.tmdb.org/t/p/w500' + movie['backdrop_path'] genrefinal = [] if all_settings['category'] == 'Popular Movies': for i in movie_genre: for genre in movie_genres['genres']: if genre['name'] == 'Science Fiction': genre['name'] = 'Sci-Fi' if i == genre['id']: i = genre['name'] genrefinal.append(i) elif all_settings['category'] == 'Popular TV': for i in movie_genre: for genre in tv_genres['genres']: if i == genre['id']: i = genre['name'] genrefinal.append(i) elif all_settings['category'] == 'Popular All': if movie['media_type'] == 'movie': for i in movie_genre: for genre in movie_genres['genres']: if genre['name'] == 'Science Fiction': genre['name'] = 'Sci-Fi' if i == genre['id']: i = genre['name'] genrefinal.append(i) elif movie['media_type'] == 'tv': for i in movie_genre: for genre in tv_genres['genres']: if i == genre['id']: i = genre['name'] genrefinal.append(i) this_out.append({'title':movie_titles, 'language':movie_language.upper(), 'votes':str(movie_votes), 'date':movie_date, 'media_type':movie_type.capitalize(), 'genre':genrefinal, 'budget':budget, 'revenue':revenue, 'backdrop':movie['backdrop_path'][1:], 'logo': movie_logo }) logo_files.append(movie['backdrop_path'][1:]) if movie['backdrop_path'][1:] not in os.listdir('logos/movies/'): urllib.request.urlretrieve(movie_logo,'logos/movies/' + movie['backdrop_path']) time.sleep(0.5) for file in os.listdir('logos/movies/'): if file not in logo_files: os.remove('logos/movies/'+file) all_settings['movies'] = this_out with open('csv/movie_settings.json', 'w+') as f: json.dump(all_settings, f) def updateIpo(api_key, logf): day = datetime.now(pytz.utc).strftime("%Y-%m-%d") dt = datetime.strptime(day, "%Y-%m-%d") start = (dt - timedelta(days=dt.weekday())) start_date = start.strftime("%Y-%m-%d") end = start + timedelta(days=21) end_date = end.strftime("%Y-%m-%d") ipo_url = 'https://finnhub.io/api/v1/calendar/ipo?from='+start_date+'&to='+end_date+'&token='+api_key try: f = open('csv/ipo_settings.json', 'r') ipo_settings = json.load(f) f.close() except: ipo_settings = {"feature": "IPO", "speed": "medium", "speed2": "medium", "animation": "down", "title": True, "symbols": ["No Data"]} data = requests.get(ipo_url) all_ipo = data.json() ipo_list = [] try: if len(all_ipo['ipoCalendar']) > 0: for ipo in all_ipo['ipoCalendar']: try: shares = human_format(ipo['numberOfShares']) except: shares = 'N/A' try: sharesvalue = human_format(ipo['totalSharesValue']) except: sharesvalue = 'N/A' ipo_list.append({ 'date':ipo['date'], 'name':ipo['name'], 'shares':shares, 'price':ipo['price'], 'status':ipo['status'], 'symbol':ipo['symbol'], 'sharesvalue':sharesvalue }) else: ipo_list = ['No Data'] except: ipo_list = ['No Data'] ipo_settings['symbols'] = ipo_list with open('csv/ipo_settings.json', 'w+') as f: json.dump(ipo_settings, f) def updateIndices(api_key, logf): try: try: f = open('csv/indices_settings.json', 'r') all_indices_settings = json.load(f) f.close() except: all_indices_settings = {"feature": "Stocks", "speed": "fast", "speed2": "slow", "animation": "up", "percent": True, "point": True, "logos": True, "chart": False, "title": True, "symbols": {"^HSI": {"name": "HSI", "current": "18083.06", "point_change": "1003.55", "percent_change": "5.88"}, "^GSPC": {"name": "S&P 500", "current": "3790.93", "point_change": "112.50", "percent_change": "3.06"}, "^RUT": {"name": "RUSSELL 2000", "current": "1775.77", "point_change": "66.90", "percent_change": "3.91"}, "^GDAXI": {"name": "DAX", "current": "12648.95", "point_change": "-21.53", "percent_change": "-0.17"}, "^FTSE": {"name": "FTSE 100", "current": "7058.68", "point_change": "-27.82", "percent_change": "-0.39"}, "^FCHI": {"name": "CAC 40", "current": "6031.45", "point_change": "-8.24", "percent_change": "-0.14"}, "399001.SZ": {"name": "SZSE", "current": "10778.61", "point_change": "-140.83", "percent_change": "-1.29"}, "^STOXX50E": {"name": "STOXX 50", "current": "3476.55", "point_change": "-7.93", "percent_change": "-0.23"}, "^AXJO": {"name": "ASX 200", "current": "6815.70", "point_change": "116.40", "percent_change": "1.74"}, "^DJI": {"name": "DOW JONES", "current": "30316.32", "point_change": "825.43", "percent_change": "2.80"}, "^STOXX": {"name": "STOXX 600", "current": "402.33", "point_change": "-0.70", "percent_change": "-0.17"}}} index_info = all_indices_settings['symbols'] symbols = list(index_info.keys()) url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/indices?symbols=' for symbol in symbols: url += symbol + ',' url += '&apiKey=' + api_key response = requests.get(url) data = response.json() index_info = {} if len(data) > 0: for symbol in symbols: for index in data: if index['symbol'] == symbol: index_info[index['symbol']] = {'name': index['name'], 'current': index['price'], 'point_change': index['change'], 'percent_change': index['percent_change']} all_indices_settings['symbols'] = index_info with open('csv/indices_settings.json', 'w+') as f: json.dump(all_indices_settings, f) except: pass #logf = open('log.txt', "a") #exc_type, exc_obj, exc_tb = sys.exc_info() #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1] #logf.write(str(e)) #logf.write('. file: ' + fname) #logf.write('. line: ' + str(exc_tb.tb_lineno)) #logf.write('. type: ' + str(exc_type)) #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]))) #logf.close() def updateCrypto(api_key, logf): try: try: f = open('csv/crypto_settings.json', 'r') all_crypto_settings = json.load(f) f.close() except: all_crypto_settings = {"feature": "Stocks", "speed": "medium","speed2": "medium", "animation": "down", "percent": False, "point": True, "logos": True, "chart": False, "title": True, "lohivol": False, "display_name": False, "symbols": {"ETH,USD": {"current": "2629.32", "24hr_change": "-27.6432", "percent_change": "-1.04"}, "BTC,USD": {"current": "38161.00", "24hr_change": "-50.8386", "percent_change": "-0.13"}, "BNB,USD": {"current": "372.57", "24hr_change": "0.4140", "percent_change": "0.11"}, "ADA,BTC": {"current": "0.0000", "24hr_change": "-0.0000", "percent_change": "-3.74"}}} coin_info = all_crypto_settings['symbols'] symbol_base = list(coin_info.keys()) symbols = [sb.split(',')[0] for sb in symbol_base] bases = [sb.split(',')[1] for sb in symbol_base] unique_bases = list(set(bases)) url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/crypto?symbols=' for i,s in enumerate(symbols): url += bases[i] + '-' + s + ',' url = url[:-1] #remove last comma url += '&apiKey=' + api_key response = requests.get(url) data = response.json() coin_info = {} if len(data) > 0: for sb in symbol_base: for i,d in enumerate(data): symbol = d['symbol'] base = d['currency'] if symbol.upper() + ',' + base.upper() == sb: coin_info[symbol.upper() + ',' + base.upper()] = {'current': d['price'], '24hr_change': d['price_over_24hr'], 'percent_change': d['percent_over_24hr'], 'volume': human_format(d['volume']), 'day_low': d['day_low'], 'day_high': d['day_high'], 'name': d['name']} all_crypto_settings['symbols'] = coin_info with open('csv/crypto_settings.json', 'w+') as f: json.dump(all_crypto_settings, f) except: pass #logf = open('log.txt', "a") #exc_type, exc_obj, exc_tb = sys.exc_info() #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1] #logf.write(str(e)) #logf.write('. file: ' + fname) #logf.write('. line: ' + str(exc_tb.tb_lineno)) #logf.write('. type: ' + str(exc_type)) #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]))) #logf.close() def updateForex(api_key, logf): try: try: f = open('csv/forex_settings.json', 'r') all_forex_settings = json.load(f) f.close() except: all_forex_settings = {"feature": "Stocks", "speed": "medium", "speed2": "medium", "animation": "down", "percent": False, "point": True, "logos": True, "chart": False, "title": True, "symbols": {"EUR,USD": {"current": "1.1334", "24hr_change": "-0.0003", "percent_change": "0.00"}, "USD,JPY": {"current": "114.960", "24hr_change": "0.1600", "percent_change": "0.14"}, "GBP,USD": {"current": "1.3577", "24hr_change": "-0.0031", "percent_change": "-0.23"}, "USD,CHF": {"current": "0.9198", "24hr_change": "0.0029", "percent_change": "0.32"}}} forex_info = all_forex_settings['symbols'] symbol_base = list(forex_info.keys()) symbols = [sb.split(',')[0] for sb in symbol_base] bases = [sb.split(',')[1] for sb in symbol_base] unique_bases = list(set(bases)) targets = ','.join(symbols) url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/forex?symbols=' for i,s in enumerate(symbols): url += s + '-' + bases[i] + ',' url = url[:-1] #remove last comma url += '&apiKey=' + api_key response = requests.get(url) data = response.json() if len(data) > 0: c_dict = {} for sb in symbol_base: for d in data: if d['uid'].replace('/',',') == sb: c_dict[d['uid'].replace('/',',')] = {'current': d['rate'], '24hr_change': d['rate_over_24hr'], 'percent_change':d['percent_over_24hr']} all_forex_settings['symbols'] = c_dict with open('csv/forex_settings.json', 'w+') as f: json.dump(all_forex_settings, f) except: pass #logf = open('log.txt', "a") #exc_type, exc_obj, exc_tb = sys.exc_info() #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1] #logf.write(str(e)) #logf.write('. file: ' + fname) #logf.write('. line: ' + str(exc_tb.tb_lineno)) #logf.write('. type: ' + str(exc_type)) #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]))) #logf.close() def updateEconomic(api_key, logf): try: with open('csv/economic_settings.json','r') as f: all_economic_settings = json.load(f) except: all_economic_settings = {"feature": "Economic Calendar", "speed": "medium", "speed2": "medium", "animation": "up", "importance": "Med - High", "title": True, "timezone": "US/Eastern", "countries": ["United States"], "events": []} try: url = 'https://economic-calendar.tradingview.com/events' headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'} country_codes = { 'United States':'US', 'Canada':'CA', 'Hong Kong':'HK', 'China':'CN', 'Germany':'DE','France':'FR', 'Italy':'IT', 'Singapore':'SG', 'South Korea':'KR', 'Japan':'JP', 'Australia':'AU', 'New Zealand':'NZ', 'India':'IN', 'Switzerland':'CH', 'United Kingdom':'GB', 'Spain':'ES', 'Portugal':'PT', 'Netherlands':'NL', 'Belgium':'BE', 'Austria':'AT', 'Denmark':'DK', 'Turkey':'TR', 'Brazil':'BR', 'Mexico':'MX', 'Sweden':'SE', 'Finland':'FI', 'Norway':'NO', 'Taiwan':'TW', 'Indonesia':'ID', 'Philippines':'PH', 'Thailand':'TH', 'South Africa':'ZA'} country = all_economic_settings['countries'] if all_economic_settings['importance'] == 'Low - High': importance = -1 elif all_economic_settings['importance'] == 'Med - High': importance = 0 elif all_economic_settings['importance'] == 'High': importance = 1 country_codes_list = [country_codes[c] for c in country] result = ",".join(country_codes_list) timezone = pytz.timezone(all_economic_settings['timezone']) date_local = datetime.now(timezone) date_local = (date_local - timedelta(hours=2)).strftime('%Y-%m-%dT%H:%M:00') #date_local = datetime.now(timezone).strftime('%Y-%m-%dT00:00:00') date_local2 = datetime.now(timezone).strftime('%Y-%m-%dT23:59:00') date_from = timezone.localize(datetime.strptime(date_local,'%Y-%m-%dT%H:%M:%S')).astimezone(pytz.timezone('GMT')).strftime('%Y-%m-%dT%H:%M:%S.000Z') date_to = timezone.localize(datetime.strptime(date_local2,'%Y-%m-%dT%H:%M:%S')).astimezone(pytz.timezone('GMT')).strftime('%Y-%m-%dT%H:%M:%S.000Z') params = { 'from': date_from, 'to': date_to, 'countries': result, 'minImportance': importance } data = requests.get(url, params=params, headers=headers).json() events = [] try: for each in data['result']: try: time = pytz.timezone('GMT').localize(datetime.strptime(each['date'], '%Y-%m-%dT%H:%M:%S.%fZ')).astimezone(timezone).strftime('%a %m/%d %H:%M%p') if datetime.now(timezone).strftime('%a %m/%d %H:%M%p') >= time: happened = True else: happened = False try: unit = str(each['unit']) except: unit = '' try: scale = str(each['scale']) except: scale = '' if scale != '': if each['actual'] != '' and each['actual'] is not None: each['actual'] = str(each['actual']) + scale if each['previous'] != '' and each['previous'] is not None: each['previous'] = str(each['previous']) + scale if each['forecast'] != '' and each['forecast'] is not None: each['forecast'] = str(each['forecast']) + scale if unit != '' and scale != '': if each['actual'] != '' and each['actual'] is not None: each['actual'] = str(each['actual']) + ' ' + unit if each['previous'] != '' and each['previous'] is not None: each['previous']= str(each['previous']) + ' ' + unit if each['forecast'] != '' and each['forecast'] is not None: each['forecast'] = str(each['forecast']) + ' ' + unit elif unit != '' and scale == '': if each['actual'] != '' and each['actual'] is not None: each['actual'] = str(each['actual']) + unit if each['previous'] != '' and each['previous'] is not None: each['previous']= str(each['previous']) + unit if each['forecast'] != '' and each['forecast'] is not None: each['forecast'] = str(each['forecast']) + unit events.append({ 'title':each['title'], 'indicator':each['indicator'], 'period':each['period'], 'country':each['country'], 'importance':each['importance'], 'time':time, 'actual':each['actual'], 'previous':each['previous'], 'forecast':each['forecast'], 'happened': happened }) except: pass except: pass all_economic_settings['events'] = events with open('csv/economic_settings.json', 'w+') as f: json.dump(all_economic_settings, f) except: pass def updateJokes(api_key, logf): try: with open('csv/jokes_settings.json', 'r') as f: jokes_settings = json.load(f) except: jokes_settings = {"feature": "Jokes", "speed": "medium", "speed2": "medium", "animation": "up", "title": True, "safe": True, "categories": ["Any"], "blacklist": [], "amount": "5", "jokes": []} try: if 'Any' in jokes_settings['categories']: categories = 'Any' else: categories = ','.join(jokes_settings['categories']) blacklist = ','.join(jokes_settings['blacklist']) amount = jokes_settings['amount'] jokes_settings['jokes'] = [] joke_url = 'https://v2.jokeapi.dev/joke/'+categories+'?amount='+amount if blacklist != '': joke_url = 'https://v2.jokeapi.dev/joke/'+categories+ '?blacklistFlags=' + blacklist + '&amount='+amount if jokes_settings['safe']: joke_url += '&safe-mode' get_jokes = requests.get(joke_url) all_jokes = get_jokes.json() for each_joke in all_jokes['jokes']: jokes_settings['jokes'].append(each_joke) with open('csv/jokes_settings.json', 'w') as f: json.dump(jokes_settings,f) except: pass def updateMarket(api_key, logf): try: try: f = open('csv/market_settings.json', 'r') all_market_settings = json.load(f) f.close() except: all_market_settings = {"feature": "Gainers, Losers, Active", "speed": "medium", "speed2": "medium", "animation": "up", "percent": True, "point": True, "logos": True, "chart": False, "title": True, "lohivol": False, "display_name": False, "categories": ["Top Gainers", "Top Losers", "Most Active"], "gainers": {}, "losers": {}, "mostactive": {}} try: f = open('csv/sector_settings.json', 'r') all_sector_settings = json.load(f) f.close() except: all_sector_settings = {"feature": "Sector Performance", "speed": "medium", "speed2": "medium", "animation": "up", "logos": True, "title": True, "sectors": ["Energy", "Financials", "Real Estate", "Technology"], "data": {}} headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'} url = 'https://cloud.iexapis.com/stable/stock/market/overview?token=pk_aff870df1a984daa9dd43c71801c1936&' data = requests.get(url, headers=headers).json() mostactive = data['mostactive'] gainers = data['gainers'] losers = data['losers'] sectors = data['sectorPerformance'] all_market_settings['losers'] = {} all_market_settings['gainers'] = {} all_market_settings['mostactive'] = {} all_sector_settings['data'] = {} try: for item in losers: all_market_settings['losers'][item['symbol']] = { "current": str(item['latestPrice']), "change": str(item['change']), "percent_change": str(item['changePercent'] * 100), "day_low": str(item['low']), "day_high": str(item['high']), "volume": human_format(item['latestVolume']), "name": item['companyName'].split(' - ')[0].replace('Corp.', 'Corp').replace('Corporation', 'Corp') } except: pass try: for item in gainers: all_market_settings['gainers'][item['symbol']] = { "current": str(item['latestPrice']), "change": str(item['change']), "percent_change": str(item['changePercent'] * 100), "day_low": str(item['low']), "day_high": str(item['high']), "volume": human_format(item['latestVolume']), "name": item['companyName'].split(' - ')[0].replace('Corp.', 'Corp').replace('Corporation', 'Corp') } except: pass try: for item in mostactive: all_market_settings['mostactive'][item['symbol']] = { "current": str(item['latestPrice']), "change": str(item['change']), "percent_change": str(item['changePercent'] * 100), "day_low": str(item['low']), "day_high": str(item['high']), "volume": human_format(item['latestVolume']), "name": item['companyName'].split(' - ')[0].replace('Corp.', 'Corp').replace('Corporation', 'Corp') } except: pass try: for item in sectors: all_sector_settings['data'][item['name']] = { "current": str(item['performance'] * 100), "name": str(item['name']), "symbol": str(item['symbol']) } except: pass with open('csv/market_settings.json', 'w+') as f: json.dump(all_market_settings, f) with open('csv/sector_settings.json', 'w+') as f: json.dump(all_sector_settings, f) except: pass def updateNews(api_key, logf): try: try: f = open('csv/news_settings.json', 'r') all_settings = json.load(f) f.close() except: all_settings = {"feature": "News", "speed": "medium", "speed2": "medium", "animation": "down", "country": "US", "category": "General", "title": True, "headlines": [], "use_category": True, "use_country": False, "num_headlines": "10"} if all_settings['use_country']: if all_settings['country'] == 'Worldwide': url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news_worldwide?' else: c_dict = {'United States':'US', 'Australia':'AU', 'Canada': 'CA', 'Great Britain':'GB', 'New Zealand':'NZ', 'Ireland':'IE', 'Singapore':'SG', 'South Africa': 'ZA', 'Germany': 'DE', 'Hong Kong': 'HK', 'Japan': 'JP', 'South Korea': 'KR', 'China': 'CN', 'France': 'FR', 'India': 'IN', 'Italy': 'IT', 'Switzerland': 'CH', 'Netherlands': 'NL', 'Spain': 'ES', 'Brazil': 'BR', 'Portugal': 'PT'} cc = c_dict[all_settings['country']] url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?country={}'.format(cc) elif all_settings['use_category']: url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?category={}'.format(all_settings['category']) url += '&apiKey=' + api_key response = requests.get(url) data = response.json() if len(data) > 0: max_headlines = int(all_settings['num_headlines']) #load user settings headlines = data[:max_headlines] headline_sources = [headline['source'] for headline in headlines] headline_titles = [headline['title'] for headline in headlines] headline_times = [headline['publishedAt'] for headline in headlines] headlines = list(zip(headline_titles, headline_sources, headline_times)) all_settings['headlines'] = headlines with open('csv/news_settings.json', 'w+') as f: json.dump(all_settings, f) except: pass #logf = open('log.txt', "a") #exc_type, exc_obj, exc_tb = sys.exc_info() #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1] #logf.write(str(e)) #logf.write('. file: ' + fname) #logf.write('. line: ' + str(exc_tb.tb_lineno)) #logf.write('. type: ' + str(exc_type)) #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]))) #logf.close() def updateWeather(api_key, logf): try: gn = geocoders.GeoNames(username='fintic') weather_codes = { 0: ['Clear', 'Clear sky'], 1: ['Clouds', 'few clouds'], 2: ['Clouds', 'scattered clouds'], 3: ['Clouds', 'overcast clouds'], 45: ['Fog', 'Fog'], 48: ['Fog', 'depositing rime fog'], 51: ['Drizzle', 'Light'], 53: ['Drizzle', 'moderate'], 55: ['Drizzle', 'dense'], 56: ['Drizzle', 'light'], 57: ['Drizzle', 'dense'], 61: ['Rain', 'light rain'], 63: ['Rain', 'moderate rain'], 65: ['Rain', 'very heavy rain'], 66: ['Rain', 'freezing rain'], 67: ['Rain', 'freezing rain'], 71: ['Snow', 'slight'], 73: ['Snow', 'moderate'], 75: ['Snow', 'heavy'], 77: ['Snow', 'Snow grains'], 85: ['Snow', 'slight'], 86: ['Snow', 'heavy'], 80: ['Rain', 'light intensity shower rain'], 81: ['Rain', 'shower rain'], 82: ['Rain', 'heavy intensity shower rain'], 95: ['Thunderstorm', 'Slight or moderate'], 96: ['Thunderstorm', 'slight hail'], 99: ['Thunderstorm', 'heavy hail'] } try: f = open('csv/daily_weather.json', 'r') all_daily_settings = json.load(f) f.close() except: all_daily_settings = {"feature": "Current Weather", "speed": "medium", "animation": "down", "temp": "celsius", "wind_speed": "miles/hour", "colour": "white", "city_colour": "yellow", "title": True, "locations": {"Hong Kong": [{"main_weather": "Thunderstorm", "description": "Slight or moderate", "min_temp": 28.2, "max_temp": 30.8, "temp": 30.4, "rain_chance": 17, "humidity": 77, "wind_speed": 11.1, "uv": 5.3, "clouds": 100, "wind_direction": 193, "visibility": 10000}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 27.9, "max_temp": 32.3}, {"main_weather": "Thunderstorm", "description": "Slight or moderate", "min_temp": 27.7, "max_temp": 31.2}, {"main_weather": "Thunderstorm", "description": "Slight or moderate", "min_temp": 28.1, "max_temp": 31.5}, {"main_weather": "Rain", "description": "light intensity shower rain", "min_temp": 28.5, "max_temp": 31.1}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 28.9, "max_temp": 31.5}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": 29.0, "max_temp": 31.9}]}, "current_weather": False, "speed2": "medium"} try: f = open('csv/current_weather.json', 'r') all_current_settings = json.load(f) f.close() except: all_current_settings = {"feature": "Current Weather", "speed": "medium", "animation": "down", "temp": "celsius", "wind_speed": "miles/hour", "colour": "white", "city_colour": "yellow", "title": True, "locations": {"Hong Kong": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 30.4, "min_temp": 28.2, "max_temp": 30.8, "feels_like": 36.0, "humidity": 77, "clouds": 100, "visibility": 10000, "uv": 5.3, "rain_chance": 17, "wind_speed": 11.1, "wind_direction": 193, "is_day": 1}}, "current_weather": True, "speed2": "medium"} current_locations = list(all_current_settings['locations'].keys()) daily_locations = list(all_daily_settings['locations'].keys()) all_locations = list(set(current_locations + daily_locations)) current_weathers = {} daily_weathers = {} for location in all_locations: loc = gn.geocode(location) current_weather = {} lat = loc.latitude lon = loc.longitude url = 'https://api.open-meteo.com/v1/forecast?latitude={}&longitude={}&hourly=apparent_temperature,temperature_2m,relativehumidity_2m,precipitation_probability,weathercode,cloudcover,visibility,windspeed_10m,winddirection_10m,uv_index,is_day&daily=weathercode,temperature_2m_max,temperature_2m_min¤t_weather=true&timezone=UTC'.format(lat, lon) r = requests.get(url).json() times = r['hourly']['time'] hour_now = datetime.now(pytz.utc).strftime('%Y-%m-%dT%H:00') index_pos = times.index(hour_now) main_weather_code = r['hourly']['weathercode'][index_pos] current_weather['main_weather'] = weather_codes[main_weather_code][0] current_weather['description'] = weather_codes[main_weather_code][1] current_weather['temp'] = r['hourly']['temperature_2m'][index_pos] current_weather['min_temp'] = r['daily']['temperature_2m_min'][0] current_weather['max_temp'] = r['daily']['temperature_2m_max'][0] current_weather['feels_like'] = r['hourly']['apparent_temperature'][index_pos] current_weather['humidity'] = r['hourly']['relativehumidity_2m'][index_pos] current_weather['clouds'] = r['hourly']['cloudcover'][index_pos] if r['hourly']['visibility'][index_pos] > 10000: current_weather['visibility'] = 10000 else: current_weather['visibility'] = r['hourly']['visibility'][index_pos] current_weather['uv'] = r['hourly']['uv_index'][index_pos] current_weather['rain_chance'] = r['hourly']['precipitation_probability'][index_pos] current_weather['wind_speed'] = r['hourly']['windspeed_10m'][index_pos] current_weather['wind_direction'] = r['hourly']['winddirection_10m'][index_pos] current_weather['is_day'] = r['hourly']['is_day'][index_pos] if location in current_locations: current_weathers[location] = current_weather daily_weather = [] daily = r['daily'] for i in range(0,7): dct = {} daily_weather_code = daily['weathercode'][i] dct['main_weather'] = weather_codes[daily_weather_code][0] dct['description'] = weather_codes[daily_weather_code][1] dct['min_temp'] = daily['temperature_2m_min'][i] dct['max_temp'] = daily['temperature_2m_max'][i] daily_weather.append(dct) # add relevant urrent information to first day in daily daily_weather[0]['temp'] = current_weather['temp'] daily_weather[0]['rain_chance'] = current_weather['rain_chance'] daily_weather[0]['humidity'] = current_weather['humidity'] daily_weather[0]['wind_speed'] = current_weather['wind_speed'] daily_weather[0]['uv'] = current_weather['uv'] daily_weather[0]['clouds'] = current_weather['clouds'] daily_weather[0]['wind_speed'] = current_weather['wind_speed'] daily_weather[0]['wind_direction'] = current_weather['wind_direction'] daily_weather[0]['visibility'] = current_weather['visibility'] if location in daily_locations: daily_weathers[location] = daily_weather all_current_settings['locations'] = current_weathers all_daily_settings['locations'] = daily_weathers with open('csv/current_weather.json', 'w+') as f: json.dump(all_current_settings, f) with open("csv/daily_weather.json", 'w+') as f: json.dump(all_daily_settings, f) except: pass #logf = open('log.txt', "a") #exc_type, exc_obj, exc_tb = sys.exc_info() #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1] #logf.write(str(e)) #logf.write('. file: ' + fname) #logf.write('. line: ' + str(exc_tb.tb_lineno)) #logf.write('. type: ' + str(exc_type)) #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]))) #logf.close() def updateLeagueTables(api_key, logf): url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/sports?stats=' try: try: f = open('csv/league_tables.json', 'r') all_settings = json.load(f) f.close() except: all_settings = {"feature": "Sports (Team Stats)", "speed": "medium", "speed2": "medium","animation": "down", "title": True, "top20": 20, "leagues": {'NFL':[]}} leagues = all_settings['leagues'].keys() leagues_info = {} for league in leagues: if league == 'PREMIERLEAGUE': url += 'PREMIERLEAGUE,' else: url += league + ',' url = url[:-1] # remove last comma url += '&apiKey=' + api_key r = requests.get(url) all_data = r.json() for i,l in enumerate(all_data): league = list(l.keys())[0] teams = [] if league == 'pga' or league == 'lpga': logo_files = [] for d in all_data[i][league]: del d['_id'], d['updated'] teams.append(d) try: if d['country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'): urllib.request.urlretrieve(d['country'], 'logos/ufc_countries/' + d['country'].split('/')[-1].split('&')[0]) except: pass try: if league == 'pga': if d['photo'].split('/')[-1].split('&')[0] not in os.listdir('logos/pga_rank/'): urllib.request.urlretrieve(d['photo'],'logos/pga_rank/' + d['photo'].split('/')[-1].split('&')[0]) elif league == 'lpga': if d['photo'].split('/')[-1] not in os.listdir('logos/lpga_rank/'): urllib.request.urlretrieve(d['photo'],'logos/lpga_rank/' + d['photo'].split('/')[-1]) except: pass try: if league == 'pga': logo_files.append(d['photo'].split('/')[-1].split('&')[0]) elif league == 'lpga': logo_files.append(d['photo'].split('/')[-1]) except: pass if league == 'pga': for file in os.listdir('logos/pga_rank/'): if file not in logo_files: os.remove('logos/pga_rank/'+ file) elif league == 'lpga': for file in os.listdir('logos/lpga_rank/'): if file not in logo_files: os.remove('logos/lpga_rank/'+ file) else: for d in all_data[i][league]: team = {} team['name'] = d['strTeam'] team['wins'] = d['intWin'] team['loss'] = d['intLoss'] team['draw'] = d['intDraw'] #team['played'] = d['intPlayed'] team['standing'] = d['intRank'] #team['points'] = d['intPoints'] teams.append(team) leagues_info[league.upper()] = teams all_settings['leagues'] = leagues_info with open("csv/league_tables.json".format(league), 'w+') as f: json.dump(all_settings, f) except: pass #logf = open('log.txt', "a") #exc_type, exc_obj, exc_tb = sys.exc_info() #fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1] #logf.write(str(e)) #logf.write('. file: ' + fname) #logf.write('. line: ' + str(exc_tb.tb_lineno)) #logf.write('. type: ' + str(exc_type)) #logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]))) #logf.close() def updatePLtime(): f = open('csv/live_games.json') try: all_settings = json.load(f) f.close() try: for league in all_settings['leagues']: if league == 'PREMIERLEAGUE': subprocess.run(["sudo", "pkill", "-f", "live_pl.py"], shell=False) premierleague = subprocess.Popen(["python3", "live_pl.py"], shell=False) except: pass except: pass def updateLeagueEvents(api_key, time, logf): url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/sports?{}='.format(time) try: if time == 'past': f = open('csv/past_games.json') elif time == 'upcoming': f = open('csv/upcoming_games.json') elif time == 'livescore': f = open('csv/live_games.json') all_settings = json.load(f) f.close() except: if time == 'past': all_settings = {"feature": "Sports (Past Games)", "speed2": "medium", "speed": "medium", "animation": "down", "title": True, "leagues": {"NFL": []}} elif time == 'upcoming': all_settings = {"feature": "Sports (Upcoming Games)", "speed": "medium", "speed2": "medium", "animation": "down", "title": True, "leagues": {"NFL": [{"date": "2021-11-22", "time": "01:20:00", "round": "11", "home_team": "Los Angeles Chargers", "home_score": "41", "away_team": "Pittsburgh Steelers", "away_score": "37"}]}} elif time == 'livescore': all_settings = {"feature": "Sports (Live Games)", "speed": "medium", "speed2": "medium", "animation": "down", "title": True, "leagues": {}} try: if time == 'livescore': try: leagues_info = {} for league in all_settings['leagues']: events = [] if league == 'NFL': subprocess.run(["sudo", "pkill", "-f", "live_nfl.py"], shell=False) nfl = subprocess.Popen(["python3", "live_nfl.py"], shell=False) events.append('Filled') leagues_info[league.upper()] = events if league == 'NBA': subprocess.run(["sudo", "pkill", "-f", "live_nba.py"], shell=False) nba = subprocess.Popen(["python3", "live_nba.py"], shell=False) events.append('Filled') leagues_info[league.upper()] = events if league == 'NHL': subprocess.run(["sudo", "pkill", "-f", "live_nhl.py"], shell=False) nhl = subprocess.Popen(["python3", "live_nhl.py"], shell=False) events.append('Filled') leagues_info[league.upper()] = events if league == 'MLB': subprocess.run(["sudo", "pkill", "-f", "live_mlb.py"], shell=False) mlb = subprocess.Popen(["python3", "live_mlb.py"], shell=False) events.append('Filled') leagues_info[league.upper()] = events if league == 'PREMIERLEAGUE': subprocess.run(["sudo", "pkill", "-f", "live_pl.py"], shell=False) premierleague = subprocess.Popen(["python3", "live_pl.py"], shell=False) events.append('Filled') leagues_info[league.upper()] = events if league == 'MLS': subprocess.run(["sudo", "pkill", "-f", "live_mls.py"], shell=False) mls = subprocess.Popen(["python3", "live_mls.py"], shell=False) events.append('Filled') leagues_info[league.upper()] = events all_settings['leagues'] = leagues_info with open('csv/live_games.json', 'w+') as f: json.dump(all_settings, f) except: pass else: leagues = all_settings['leagues'].keys() leagues_info = {} for league in leagues: if league == 'PREMIERLEAGUE': url += 'PREMIERLEAGUE,' else: url += league + ',' url = url[:-1] # remove last comma url += '&apiKey=' + api_key r = requests.get(url) all_data = r.json() for league in all_data.keys(): ten_or_fifteen = slice(None) events = [] if (league == 'PGA') or (league == 'LPGA') or (league == 'PGA_EU') or (league == 'LIV') or (league == 'F1') or (league == 'NASCAR'): if time == 'past': ten_or_fifteen = slice(2) else: ten_or_fifteen = slice(3) else: ten_or_fifteen = slice(None) if league == 'UFC': event = all_data['UFC'][0] events.append(event) if time == 'upcoming': try: logo_files = [] for each in all_data['UFC'][0]['fights']: try: if each['fighter1pic'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc/'): urllib.request.urlretrieve(each['fighter1pic'],'logos/ufc/' + each['fighter1pic'].split('/')[-1].split('&')[0]) except: pass try: if each['fighter2pic'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc/'): urllib.request.urlretrieve(each['fighter2pic'],'logos/ufc/' + each['fighter2pic'].split('/')[-1].split('&')[0]) except: pass try: logo_files.append(each['fighter2pic'].split('/')[-1].split('&')[0]) except: pass try: logo_files.append(each['fighter1pic'].split('/')[-1].split('&')[0]) except: pass #country flags try: if each['fighter1country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'): urllib.request.urlretrieve(each['fighter1country'], 'logos/ufc_countries/' + each['fighter1country'].split('/')[-1].split('&')[0]) except: pass try: if each['fighter2country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'): urllib.request.urlretrieve(each['fighter2country'], 'logos/ufc_countries/' + each['fighter2country'].split('/')[-1].split('&')[0]) except: pass for file in os.listdir('logos/ufc/'): if file not in logo_files: os.remove('logos/ufc/'+ file) except: pass elif time == 'past': try: logo_files = [] for each in all_data['UFC'][0]['fights']: try: if each['fighter1pic'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_past/'): urllib.request.urlretrieve(each['fighter1pic'],'logos/ufc_past/' + each['fighter1pic'].split('/')[-1].split('&')[0]) except: pass try: if each['fighter2pic'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_past/'): urllib.request.urlretrieve(each['fighter2pic'],'logos/ufc_past/' + each['fighter2pic'].split('/')[-1].split('&')[0]) except: pass try: logo_files.append(each['fighter2pic'].split('/')[-1].split('&')[0]) except: pass try: logo_files.append(each['fighter1pic'].split('/')[-1].split('&')[0]) except: pass #country flags try: if each['fighter1country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'): urllib.request.urlretrieve(each['fighter1country'], 'logos/ufc_countries/' + each['fighter1country'].split('/')[-1].split('&')[0]) except: pass try: if each['fighter2country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'): urllib.request.urlretrieve(each['fighter2country'], 'logos/ufc_countries/' + each['fighter2country'].split('/')[-1].split('&')[0]) except: pass for file in os.listdir('logos/ufc_past/'): if file not in logo_files: os.remove('logos/ufc_past/'+ file) except: pass else: for d in all_data[league][ten_or_fifteen]: event = {} event['date'] = d['dateEvent'] try: event['date2'] = d['dateEvent2'] except: pass if time == 'live': event['progess'] = d['strProgress'] event['status'] = d['strStatus'] else: if (league == 'PGA') or (league == 'LPGA') or (league == 'PGA_EU') or (league == 'LIV') or (league == 'F1') or (league == 'NASCAR'): event['date'] = d['dateEvent'] try: event['date2'] = d['dateEvent2'] except: pass try: event['total_yards'] = d['total_yards'] event['shots_par'] = d['shots_par'] event['purse'] = d['purse'] except: pass event['event'] = d['strEvent'].replace("\u2019","'") event['venue'] = d['strVenue'].replace("\u2019","'") event['city'] = d['strCity'].replace("\u2019","'") event['country'] = d['strCountry'] event['season'] = d['strSeason'] else: event['round'] = d['intRound'] event['time'] = d['strTime'] event['home_team'] = d['strHomeTeam'] event['away_team'] = d['strAwayTeam'] if time != 'upcoming': if (league == 'PGA') or (league == 'LPGA') or (league == 'PGA_EU'): # event['golf_standings'] = d['strResult'] event['golf_rankings'] = d['player_results'] for player in event['golf_rankings']: try: if player['country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'): urllib.request.urlretrieve(player['country'], 'logos/ufc_countries/' + player['country'].split('/')[-1].split('&')[0]) except: pass # rank = ['n1', 'n2', 'n3', 'n4', 'n5', 'n6', 'n7', 'n8', 'n9', 'n10', 'T1', 'T2', 'T3', 'T4', 'T5', # 'T6', 'T7', 'T8', 'T9', 'T10'] # def convert(string): # string = repr(string).replace('/', '') # li = list(string.split('\\')) # return li # str3 = convert(event['golf_standings']) # players = [] # for each in str3: # each = each.replace('nT', 'T', 1) # if each[:2] in rank: # try: # first_space = each.find(' ', 1) # second_space = each.find(' ', 4) # first_name = each[first_space:second_space].lstrip() # initial = first_name[0] + '.' # each = each.replace(first_name,initial) # except: # pass # interator = each.find('-') # if interator < 0: # interator = 0 # interator2 = each[interator:interator + 3] # result = each.split(interator2, 1)[0] + interator2 # players.append(result.rstrip()) # event['golf_standings'] = players elif (league == 'LIV'): # event['golf_standings'] = d['strResult'] event['golf_rankings'] = d['player_results'] for player in event['golf_rankings']: try: if player['country'].split('/')[-1].split('&')[0] not in os.listdir('logos/ufc_countries/'): urllib.request.urlretrieve(player['country'], 'logos/ufc_countries/' + player['country'].split('/')[-1].split('&')[0]) except: pass # rank = ['n1', 'n2', 'n3', 'n4', 'n5', 'n6', 'n7', 'n8', 'n9', 'n10', 'T1', 'T2', 'T3', 'T4', 'T5', # 'T6', 'T7', 'T8', 'T9', 'T10'] # def convert(string): # string = repr(string).replace('/', '') # li = list(string.split('\\')) # return li # try: # str3 = convert(event['golf_standings'].split('--------------------------------------')[0]) # strTeams = convert(event['golf_standings'].split('--------------------------------------')[1]) # except: # pass # players = [] # teams = [] # try: # for each in str3: # each = each.replace('nT', 'T', 1) # if each[:2] in rank: # try: # first_space = each.find(' ', 1) # second_space = each.find(' ', 4) # first_name = each[first_space:second_space].lstrip() # initial = first_name[0] + '.' # each = each.replace(first_name,initial) # except: # pass # interator = each.find('-') # if interator < 0: # interator = 0 # interator2 = each[interator:interator + 3] # result = each.split(interator2, 1)[0] + interator2 # players.append(result.rstrip()) # for each in strTeams: # each = each.replace('nT', 'T', 1) # if each[:2] in rank: # each = each.split('GC') # score = each[1].rfind(' ') # score2 = each[1][score:score+4] # each2 = each[0] + score2 # teams.append(each2) # except: # pass # event['golf_standings'] = [players] + [teams] else: event['away_score'] = d['intAwayScore'] event['home_score'] = d['intHomeScore'] events.append(event) leagues_info[league.upper()] = events all_settings['leagues'] = leagues_info with open("csv/{}_games.json".format(time), 'w+') as f: json.dump(all_settings, f) except: pass def updateSports(api_key, logf): #read user settings to decide which sprots to update updateLeagueTables(api_key, logf) updateLeagueEvents(api_key,'livescore', logf) updateLeagueEvents(api_key,'past', logf) updateLeagueEvents(api_key,'upcoming', logf) def checkStocks(last_update, update_frequency): NY_time = datetime.now(NY_zone).replace(tzinfo=None) opening = NY_time.replace(hour=9, minute=30, second=0, microsecond=0).replace(tzinfo=None) closing = NY_time.replace(hour=16, minute=5, second=0, microsecond=0).replace(tzinfo=None) f = open('csv/stocks_settings.json', 'r') all_stocks_settings = json.load(f) f.close() stock_info = all_stocks_settings['symbols'] symbols = list(stock_info.keys()) updated = False diff = (NY_time - last_update).total_seconds()/60 #minutes if opening < NY_time < closing and datetime.today().weekday() < 5: # we need to do real time updating if diff >= update_frequency: updated = True elif emptyInfo(symbols, stock_info): # if theres any empty stocks updated = True else: # update if last update was before the previous days closing yday_closing = closing - dt.timedelta(days=1) yday_str = yday_closing.strftime("%d/%m/%Y %H:%M:%S") yday_closing = datetime.strptime(yday_str, "%d/%m/%Y %H:%M:%S") if last_update < yday_closing: updated = True return updated def updateAll(api_key, weather_key, logf): updateStocks(api_key, logf) updateCrypto(api_key, logf) updateForex(api_key, logf) updateNews(api_key, logf) updateSports(api_key, logf) if weather_key: updateWeather(weather_key, logf) past_espn_time = True past_pl_time = True if __name__ == '__main__': logf = open("log.txt", "a") t = time.time() update_frequencies = {'stocks':2, 'crypto':7, 'forex':60, 'news':120, 'weather': 120, 'sports': 1440, 'commodities': 15, 'indices': 15, 'movies': 1440, 'ipo': 1440, 'prepost': 15, 'economic': 15, 'jokes': 15, 'market': 5} #minutes NY_zone = pytz.timezone('America/New_York') CET_zone = pytz.timezone('EST') NY_time = datetime.now(NY_zone) CET_time = datetime.now(CET_zone) NY_str = NY_time.strftime("%d/%m/%Y %H:%M:%S") CET_str = NY_time.strftime("%d/%m/%Y %H:%M:%S") #f = open('csv/last_updates.json', 'w+') #update_times = {'stocks':NY_str, 'crypto':NY_str, 'news':NY_str, 'weather': NY_str, 'forex': CET_str} # all in NY time apart from forex in CET #json.dump(update_times, f) #f.close() f = open('api_keys.txt') api_keys = f.readlines() api_key = api_keys[0].strip() try: weather_key = api_keys[1].strip() except Exception as e: weather_key = False # logf = open('log.txt', "a") # exc_type, exc_obj, exc_tb = sys.exc_info() # fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1] # logf.write(str(e)) # logf.write('. file: ' + fname) # logf.write('. line: ' + str(exc_tb.tb_lineno)) # logf.write('. type: ' + str(exc_type)) # logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]))) # logf.close() try: movie_key = open('movie_api_key.txt').readlines()[0] except Exception as e: movie_key = False try: ipo_key = open('ipo_api_key.txt').readlines()[0] except Exception as e: ipo_key = False t = time.time() update_processes = [] # try: # time.sleep(60) # f = open('csv/last_updates.json', 'r') # last_updates = json.load(f) # f.close() # last_updates['stocks']['force'] = True # #last_updates['weather']['force'] = True # f = open('csv/last_updates.json', 'w') # json.dump(last_updates, f) # f.close() # except: # pass try: while True: try: f = open('csv/last_updates.json', 'r') last_updates = json.load(f) f.close() except: last_updates = {"scheduler":{"force": False}, "stocks": {"time": "06/03/2022 04:12:09", "force": True}, "crypto": {"time": "06/03/2022 04:10:39", "force": True}, "news": {"time": "06/03/2022 04:07:09", "force": True}, "weather": {"time": "06/03/2022 04:08:20", "force": True}, "forex": {"time": "06/03/2022 03:54:02", "force": True}, "sports_l": {"time": "06/03/2022 04:10:09", "force": True}, "sports_p": {"time": "06/03/2022 04:10:09", "force": True}, "sports_u": {"time": "06/03/2022 04:10:09", "force": True},"sports_t": {"time": "06/03/2022 04:10:09", "force": True}, "commodities": {"time": "06/03/2022 04:10:09", "force": True}, "indices": {"time": "06/03/2022 04:10:09", "force": True}, "movies": {"time": "06/03/2022 04:10:09", "force": True}, "ipo": {"time": "06/03/2022 04:10:09", "force": True}, "prepost": {"time": "06/03/2022 04:10:09", "force": True}, "economic": {"time": "06/03/2022 04:10:09", "force": True}, "jokes": {"time": "06/03/2022 04:10:09", "force": True}, "market": {"time": "06/03/2022 04:10:09", "force": True}, "sector": {"time": "06/03/2022 04:10:09", "force": True}} try: if last_updates['scheduler']['force']: try: f = open('csv/scheduler.json','r') schedules = json.load(f) f.close() shutdown_schedule_hour = schedules['shutdown']['hour'] shutdown_schedule_minute = schedules['shutdown']['minute'] reboot_schedule_hour = schedules['reboot']['hour'] reboot_schedule_minute = schedules['reboot']['minute'] timezone = schedules['timezone'] shutdown_enabled = schedules['shutdown']['enabled'] reboot_enabled = schedules['reboot']['enabled'] except: shutdown_schedule_hour = "00" shutdown_schedule_minute = "00" reboot_schedule_hour = "00" reboot_schedule_minute = "00" timezone = "GMT" shutdown_enabled = False reboot_enabled = False last_updates['scheduler']['force'] = False except: pass #SHUTDOWN try: if datetime.now(pytz.timezone(timezone)).strftime("%H:%M") == shutdown_schedule_hour+':'+shutdown_schedule_minute and shutdown_enabled: os.system('sudo shutdown now') except: pass #REBOOT try: if datetime.now(pytz.timezone(timezone)).strftime("%H:%M") == reboot_schedule_hour+':'+reboot_schedule_minute and reboot_enabled: os.system('sudo reboot') except: pass NY_time = datetime.now(NY_zone).replace(tzinfo=None) #msg = getInput() NY_time = datetime.now(NY_zone).replace(tzinfo=None) #stocks stock_time = datetime.strptime(last_updates['stocks']['time'], "%d/%m/%Y %H:%M:%S") stock_frequency = update_frequencies['stocks'] diff = (NY_time - stock_time).total_seconds()/60 #minutes NY_time = datetime.now(NY_zone).replace(tzinfo=None) opening = NY_time.replace(hour=9, minute=30, second=0, microsecond=0).replace(tzinfo=None) closing = NY_time.replace(hour=16, minute=5, second=0, microsecond=0).replace(tzinfo=None) stock_open = opening < NY_time < closing and datetime.today().weekday() <= 4 if last_updates['stocks']['force'] or (diff >= update_frequencies['stocks'] and stock_open):# or msg == 's': stock_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") last_updates['stocks']['time'] = stock_time last_updates['stocks']['force'] = False #updateStocks(api_key) update_process = Process(target = updateStocks, args = (api_key,logf)) update_process.start() update_processes.append(update_process) NY_time1 = datetime.now(NY_zone).replace(tzinfo=None) NY_time2 = datetime.now(NY_zone).replace(tzinfo=None) #prepost preopen = NY_time1.replace(hour=4, minute=0, second=0, microsecond=0).replace(tzinfo=None) preclose = NY_time1.replace(hour=9, minute=30, second=0, microsecond=0).replace(tzinfo=None) postopen = NY_time2.replace(hour=16, minute=0, second=0, microsecond=0).replace(tzinfo=None) postclose = NY_time2.replace(hour=20, minute=20, second=0, microsecond=0).replace(tzinfo=None) prepost_frequency = update_frequencies['prepost'] prepost_time = datetime.strptime(last_updates['prepost']['time'], "%d/%m/%Y %H:%M:%S") pre_open = preopen < NY_time1 < preclose and NY_time1.weekday() <= 4 post_open = postopen < NY_time2 < postclose and NY_time2.weekday() <= 4 diff1 = (NY_time1 - prepost_time).total_seconds()/60 #minutes diff2 = (NY_time2 - prepost_time).total_seconds()/60 #minutes if (last_updates['prepost']['force']) or (diff1 >= update_frequencies['prepost'] and pre_open) or (diff2 >= update_frequencies['prepost'] and post_open): prepost_time = NY_time1.strftime("%d/%m/%Y %H:%M:%S") last_updates['prepost']['time'] = prepost_time last_updates['prepost']['force'] = False update_process = Process(target = updateStocksPrePost, args = (api_key,logf)) update_process.start() update_processes.append(update_process) # crypto crypto_time = datetime.strptime(last_updates['crypto']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) diff = (NY_time - crypto_time).total_seconds()/60 #minutes if last_updates['crypto']['force'] or diff >= update_frequencies['crypto']:# or msg == 'c': crypto_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") #updateCrypto(api_key, logf) last_updates['crypto']['time'] = crypto_time last_updates['crypto']['force'] = False update_process = Process(target = updateCrypto, args = (api_key,logf)) update_process.start() update_processes.append(update_process) # commodities commodities_time = datetime.strptime(last_updates['commodities']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) diff = (NY_time - commodities_time).total_seconds()/60 #minutes if last_updates['commodities']['force'] or diff >= update_frequencies['commodities']:# or msg == 'c': commodities_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") #updateCrypto(api_key, logf) last_updates['commodities']['time'] = commodities_time last_updates['commodities']['force'] = False update_process = Process(target = updateCommodities, args = (api_key,logf)) update_process.start() update_processes.append(update_process) # economic calendar economic_time = datetime.strptime(last_updates['economic']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) diff = (NY_time - economic_time).total_seconds()/60 #minutes if last_updates['economic']['force'] or diff >= update_frequencies['economic']:# or msg == 'c': economic_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") last_updates['economic']['time'] = economic_time last_updates['economic']['force'] = False update_process = Process(target = updateEconomic, args = (api_key,logf)) update_process.start() update_processes.append(update_process) # market market_time = datetime.strptime(last_updates['market']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) diff = (NY_time - market_time).total_seconds()/60 #minutes NY_time = datetime.now(NY_zone).replace(tzinfo=None) opening = NY_time.replace(hour=9, minute=30, second=0, microsecond=0).replace(tzinfo=None) closing = NY_time.replace(hour=16, minute=20, second=0, microsecond=0).replace(tzinfo=None) stock_open = opening < NY_time < closing and datetime.today().weekday() <= 4 if last_updates['market']['force'] or (diff >= update_frequencies['market'] and stock_open):# or msg == 'c': market_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") last_updates['market']['time'] = market_time last_updates['market']['force'] = False last_updates['sector']['time'] = market_time last_updates['sector']['force'] = False update_process = Process(target = updateMarket, args = (api_key,logf)) update_process.start() update_processes.append(update_process) # jokes jokes_time = datetime.strptime(last_updates['jokes']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) diff = (NY_time - jokes_time).total_seconds()/60 #minutes if last_updates['jokes']['force'] or diff >= update_frequencies['jokes']:# or msg == 'c': jokes_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") last_updates['jokes']['time'] = jokes_time last_updates['jokes']['force'] = False update_process = Process(target = updateJokes, args = (api_key,logf)) update_process.start() update_processes.append(update_process) # indices indices_time = datetime.strptime(last_updates['indices']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) diff = (NY_time - indices_time).total_seconds()/60 #minutes if last_updates['indices']['force'] or diff >= update_frequencies['indices']:# or msg == 'c': indices_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") last_updates['indices']['time'] = indices_time last_updates['indices']['force'] = False update_process = Process(target = updateIndices, args = (api_key,logf)) update_process.start() update_processes.append(update_process) # movies movies_time = datetime.strptime(last_updates['movies']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) diff = (NY_time - movies_time).total_seconds()/60 #minutes if last_updates['movies']['force'] or diff >= update_frequencies['movies']: movies_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") last_updates['movies']['time'] = movies_time last_updates['movies']['force'] = False update_process = Process(target = updateMovies, args = (movie_key,logf)) update_process.start() update_processes.append(update_process) # ipos ipo_time = datetime.strptime(last_updates['ipo']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) diff = (NY_time - ipo_time).total_seconds()/60 #minutes if last_updates['ipo']['force'] or diff >= update_frequencies['ipo']: ipo_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") last_updates['ipo']['time'] = ipo_time last_updates['ipo']['force'] = False update_process = Process(target = updateIpo, args = (ipo_key,logf)) update_process.start() update_processes.append(update_process) # weather weather_time = datetime.strptime(last_updates['weather']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) diff = (NY_time - weather_time).total_seconds()/60 #minutes if last_updates['weather']['force'] or diff >= update_frequencies['weather']:# or msg == 'w': weather_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") #updateWeather(weather_key) last_updates['weather']['time'] = weather_time last_updates['weather']['force'] = False update_process = Process(target = updateWeather, args = (weather_key,logf)) update_process.start() update_processes.append(update_process) # news news_time = datetime.strptime(last_updates['news']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) diff = (NY_time - news_time).total_seconds()/60 #minutes if last_updates['news']['force'] or diff >= update_frequencies['news']:# or msg == 'n': news_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") #updateNews(api_key) last_updates['news']['time'] = news_time last_updates['news']['force'] = False update_process = Process(target = updateNews, args = (api_key,logf)) update_process.start() update_processes.append(update_process) # sports upcoming sports_time = datetime.strptime(last_updates['sports_u']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) diff = (NY_time - sports_time).total_seconds()/60 #minutes if last_updates['sports_u']['force'] or diff >= update_frequencies['sports']:# or msg == 'S': sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") #updateSports(api_key) last_updates['sports_u']['time'] = sports_time last_updates['sports_u']['force'] = False update_process = Process(target = updateLeagueEvents, args = (api_key,'upcoming',logf)) update_process.start() update_processes.append(update_process) # sports live sports_time = datetime.strptime(last_updates['sports_l']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) espn_time = "17:00Z" espn_time_est = "12:00" # if datetime.now(pytz.utc).strftime("%H:%MZ") < espn_time: if datetime.now(pytz.timezone('America/New_York')).strftime("%H:%M") < espn_time_est: past_espn_time = True if last_updates['sports_l']['force'] or (datetime.now(pytz.timezone('America/New_York')).strftime("%H:%M") >= espn_time_est and past_espn_time):# or msg == 'S': # if last_updates['sports_l']['force'] or (datetime.now(pytz.utc).strftime("%H:%MZ") >= espn_time and past_espn_time):# or msg == 'S': sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") last_updates['sports_l']['time'] = sports_time last_updates['sports_l']['force'] = False past_espn_time = False update_process = Process(target = updateLeagueEvents, args = (api_key, 'livescore',logf)) update_process.start() update_processes.append(update_process) #sports live (premier league) pl_time = "12:00Z" NY_time = datetime.now(NY_zone).replace(tzinfo=None) sports_time = datetime.strptime(last_updates['sports_l']['time'], "%d/%m/%Y %H:%M:%S") if datetime.now(pytz.utc).strftime("%H:%MZ") < pl_time: past_pl_time = True if datetime.now(pytz.utc).strftime("%H:%MZ") >= pl_time and past_pl_time:# or msg == 'S': sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") past_pl_time = False last_updates['sports_l']['time'] = sports_time last_updates['sports_l']['force'] = False update_process = Process(target = updatePLtime) update_process.start() update_processes.append(update_process) # sports past sports_time = datetime.strptime(last_updates['sports_p']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) diff = (NY_time - sports_time).total_seconds()/60 #minutes if last_updates['sports_p']['force'] or diff >= update_frequencies['sports']:# or msg == 'S': sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") #updateSports(api_key) last_updates['sports_p']['time'] = sports_time last_updates['sports_p']['force'] = False update_process = Process(target = updateLeagueEvents, args = (api_key,'past',logf)) update_process.start() update_processes.append(update_process) # sports table sports_time = datetime.strptime(last_updates['sports_t']['time'], "%d/%m/%Y %H:%M:%S") NY_time = datetime.now(NY_zone).replace(tzinfo=None) diff = (NY_time - sports_time).total_seconds()/60 #minutes if last_updates['sports_t']['force'] or diff >= update_frequencies['sports']:# or msg == 'S': sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S") #updateSports(api_key) last_updates['sports_t']['time'] = sports_time last_updates['sports_t']['force'] = False update_process = Process(target = updateLeagueTables, args = (api_key,logf)) update_process.start() update_processes.append(update_process) #forex updates once every 24hours at 1700 CET # update if last update was before the previous days closing forex_time = datetime.strptime(last_updates['forex']['time'], "%d/%m/%Y %H:%M:%S") CET_time = datetime.now(CET_zone).replace(tzinfo=None) yday_update = (CET_time.replace(hour=17, minute=00, second=0, microsecond=0) - dt.timedelta(days=1)).replace(tzinfo=None) diff = (CET_time.replace(tzinfo=None) - forex_time).total_seconds()/60 opening = CET_time.replace(hour=17, minute=0, second=0, microsecond=0).replace(tzinfo=None) #forex updates between 5pm sunday and 5pm friday every hour forex_open = datetime.today().weekday() < 4 or (datetime.today().weekday() == 6 and CET_time > opening) or (datetime.today().weekday() == 4 and CET_time < opening) if last_updates['forex']['force'] or (diff >= update_frequencies['forex'] and forex_open):# or msg == 'f': forex_time = CET_time.strftime("%d/%m/%Y %H:%M:%S") last_updates['forex']['time'] = forex_time last_updates['forex']['force'] = False #updateForex(api_key) update_process = Process(target = updateForex, args = (api_key,logf)) update_process.start() update_processes.append(update_process) f = open('csv/last_updates.json', 'w+') json.dump(last_updates, f) f.close() for process in update_processes: if not process.is_alive(): process.join() process.terminate() update_processes.remove(process) time.sleep(10) except: pass # logf = open('log.txt', "a") # exc_type, exc_obj, exc_tb = sys.exc_info() # fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1] # logf.write(str(e)) # logf.write('. file: ' + fname) # logf.write('. line: ' + str(exc_tb.tb_lineno)) # logf.write('. type: ' + str(exc_type)) # logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]))) # logf.close()