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10 Commits

Author SHA1 Message Date
Justin
872e6a0172
cleaned r/place 2023 2023-10-05 17:21:18 +08:00
Justin
db4fd6faa5
Delete logos/r_place/r_place 2023.png 2023-10-05 17:20:50 +08:00
Justin
9e029407de
removedsudo, causing crash 2023-09-26 22:30:31 +08:00
Justin
b1add6ae8d
get global stock image prof 2023-09-26 17:43:07 +08:00
Justin
8e28f6cd29
global stock image added 2023-09-26 17:29:36 +08:00
Justin
ee62f88110
tiny global stocks feature title 2023-09-26 17:03:35 +08:00
Justin
dae16ab719
global stocks standard feature title 2023-09-26 16:57:31 +08:00
Justin
13d2377719
Delete logos/global_stocks/Untitled.rtf 2023-09-26 16:37:30 +08:00
Justin
93a80866d2
default stock logos 2023-09-26 16:37:04 +08:00
Justin
58805d63c6
changed 2023-09-26 16:30:14 +08:00
12 changed files with 433 additions and 18 deletions

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@ -1,8 +0,0 @@
{\rtf1\ansi\ansicpg1252\cocoartf2513
\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
{\*\expandedcolortbl;;}
\margl1440\margr1440\vieww10800\viewh8400\viewkind0
\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
\f0\fs24 \cf0 add global stock logos here }

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@ -263,7 +263,7 @@ def index():
globalstocks_settings = json.load(f) globalstocks_settings = json.load(f)
f.close() f.close()
except: except:
globalstocks_settings = {"feature": "Global Stocks", "speed": "medium", "speed2": "medium", "animation": "continuous", "percent": True, "point": True, "logos": True, "chart": False, "title": True, "lohivol": True, "display_name": False, "symbols": {}} globalstocks_settings = {"feature": "Global Stocks", "speed": "medium", "speed2": "medium", "animation": "continuous", "percent": True, "point": True, "logos": True, "chart": False, "title": True, "lohivol": True, "display_name": False, "symbols": {"0001.HK": {"current": "40.65", "change": "-0.6499977", "percent_change": "-1.5738443", "day_low": "40.65", "day_high": "41.4", "volume": "3.37M", "name": "CK Hutchison Holdings Ltd"}, "NESN.SW": {"current": "106.82", "change": "-0.3199997", "percent_change": "-0.29867435", "day_low": "106.2", "day_high": "106.92", "volume": "187K", "name": "Nestl\u00e9 S.A."}, "MBG.DE": {"current": "65.6", "change": "-0.7799988", "percent_change": "-1.1750509", "day_low": "65.26", "day_high": "66.36", "volume": "278K", "name": "Mercedes-Benz Group AG"}, "MC.PA": {"current": "701.4", "change": "-11.899963", "percent_change": "-1.6682972", "day_low": "696.8", "day_high": "705.4", "volume": "106K", "name": "LVMH Mo\u00ebt Hennessy - Louis Vuitton Soci\u00e9t\u00e9 Europ\u00e9enne"}, "9984.T": {"current": "6370.0", "change": "-54.0", "percent_change": "-0.8405978", "day_low": "6358.0", "day_high": "6470.0", "volume": "7.87M", "name": "SoftBank Group Corp."}, "0700.HK": {"current": "300.0", "change": "-4.399994", "percent_change": "-1.4454645", "day_low": "298.2", "day_high": "303.6", "volume": "14.5M", "name": "Tencent Holdings Ltd"}}}
with open('csv/globalstocks_settings.json', 'w') as f: with open('csv/globalstocks_settings.json', 'w') as f:
json.dump(globalstocks_settings, f) json.dump(globalstocks_settings, f)
try: try:
@ -1384,11 +1384,11 @@ def screensaver():
elif "Grayscale Block" in data: elif "Grayscale Block" in data:
screensaver_p = pexpect.spawn("sudo ./demo --led-gpio-mapping=adafruit-hat --led-rows=32 --led-cols=128 -D 5") screensaver_p = pexpect.spawn("sudo ./demo --led-gpio-mapping=adafruit-hat --led-rows=32 --led-cols=128 -D 5")
elif "Clock 1" in data: elif "Clock 1" in data:
screensaver_p = pexpect.spawn("sudo python3 clock_screensaver.py") screensaver_p = pexpect.spawn("python3 clock_screensaver.py")
elif "Clock 2" in data: elif "Clock 2" in data:
screensaver_p = pexpect.spawn("sudo python3 clock_screensaver2.py") screensaver_p = pexpect.spawn("python3 clock_screensaver2.py")
elif "World Clock" in data: elif "World Clock" in data:
screensaver_p = pexpect.spawn("sudo python3 world_clock2.py") screensaver_p = pexpect.spawn("python3 world_clock2.py")
elif "Sleep" in data: elif "Sleep" in data:
screensaver_p = DummyProcess() screensaver_p = DummyProcess()
else: #default in case user hasnt set one yet else: #default in case user hasnt set one yet
@ -1876,8 +1876,8 @@ def save_globalstocks_settings(input_settings):
current_settings = json.load(f) current_settings = json.load(f)
f.close() f.close()
except: except:
current_settings = {"feature": "Global Stocks", "speed": "medium", "speed2": "medium", "animation": "continuous", "percent": True, "point": True, "logos": True, "chart": False, "title": True, "lohivol": True, "display_name": False, "symbols": {}} current_settings = {"feature": "Global Stocks", "speed": "medium", "speed2": "medium", "animation": "continuous", "percent": True, "point": True, "logos": True, "chart": False, "title": True, "lohivol": True, "display_name": False, "symbols": {"0001.HK": {"current": "40.65", "change": "-0.6499977", "percent_change": "-1.5738443", "day_low": "40.65", "day_high": "41.4", "volume": "3.37M", "name": "CK Hutchison Holdings Ltd"}, "NESN.SW": {"current": "106.82", "change": "-0.3199997", "percent_change": "-0.29867435", "day_low": "106.2", "day_high": "106.92", "volume": "187K", "name": "Nestl\u00e9 S.A."}, "MBG.DE": {"current": "65.6", "change": "-0.7799988", "percent_change": "-1.1750509", "day_low": "65.26", "day_high": "66.36", "volume": "278K", "name": "Mercedes-Benz Group AG"}, "MC.PA": {"current": "701.4", "change": "-11.899963", "percent_change": "-1.6682972", "day_low": "696.8", "day_high": "705.4", "volume": "106K", "name": "LVMH Mo\u00ebt Hennessy - Louis Vuitton Soci\u00e9t\u00e9 Europ\u00e9enne"}, "9984.T": {"current": "6370.0", "change": "-54.0", "percent_change": "-0.8405978", "day_low": "6358.0", "day_high": "6470.0", "volume": "7.87M", "name": "SoftBank Group Corp."}, "0700.HK": {"current": "300.0", "change": "-4.399994", "percent_change": "-1.4454645", "day_low": "298.2", "day_high": "303.6", "volume": "14.5M", "name": "Tencent Holdings Ltd"}}}
current_settings['speed'] = input_settings['speed'].lower() current_settings['speed'] = input_settings['speed'].lower()
current_settings['speed2'] = input_settings['speed2'].lower() current_settings['speed2'] = input_settings['speed2'].lower()
current_settings['animation'] = input_settings['animation'].lower() current_settings['animation'] = input_settings['animation'].lower()

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@ -107,24 +107,24 @@ class StockTicker():
#sys.exit() #sys.exit()
self.points = True # display crypto change in points or percent self.points = True # display crypto change in points or percent
self.functions = {'Stocks': self.getStockImage, 'Crypto': self.getCryptoImage, 'Forex': self.getForexImage, 'Sector Performance': self.getSectorImage, 'Inspirational Quotes': self.getQuotesImage, self.functions = {'Stocks': self.getStockImage, 'Global Stocks': self.getGlobalStockImage, 'Crypto': self.getCryptoImage, 'Forex': self.getForexImage, 'Sector Performance': self.getSectorImage, 'Inspirational Quotes': self.getQuotesImage,
'Daily Forecast':self.getDailyWeatherImage, 'Current Weather': self.getTodayWeatherImage, 'Jokes': self.getJokesImage, 'Place (Reddit)': self.getPlaceImage, 'Daily Forecast':self.getDailyWeatherImage, 'Current Weather': self.getTodayWeatherImage, 'Jokes': self.getJokesImage, 'Place (Reddit)': self.getPlaceImage,
'Sports (Team Stats)':lambda : self.getLeagueTableImage('premier_league'), 'Sports (Past Games)': lambda:self.getLeagueImage('NBA', 'past'), 'Sports (Team Stats)':lambda : self.getLeagueTableImage('premier_league'), 'Sports (Past Games)': lambda:self.getLeagueImage('NBA', 'past'),
'Sports (Upcoming Games)': lambda : self.getLeagueImage('NHL', 'future'), 'Sports (Live Games)': lambda: self.getLeagueImage('NBA', 'live'), 'Sports (Upcoming Games)': lambda : self.getLeagueImage('NHL', 'future'), 'Sports (Live Games)': lambda: self.getLeagueImage('NBA', 'live'),
'News':self.getNewsImage, 'Custom Messages': self.getUserMessages, 'Commodities': self.getCommoditiesImage, 'Indices': self.getIndicesImage, 'Movies': self.getMoviesImage, 'Gainers, Losers, Active': self.getMarketImage, 'News':self.getNewsImage, 'Custom Messages': self.getUserMessages, 'Commodities': self.getCommoditiesImage, 'Indices': self.getIndicesImage, 'Movies': self.getMoviesImage, 'Gainers, Losers, Active': self.getMarketImage,
'Economic Calendar': self.getEconomicImage, 'IPO Calendar':self.getIpoImage, 'IPO Calendar Prof':self.getIpoProfessional, 'Economic Calendar Prof': self.getEconomicProfessional, 'Gainers, Losers, Active Prof': self.getMarketProfessional, 'Economic Calendar': self.getEconomicImage, 'IPO Calendar':self.getIpoImage, 'IPO Calendar Prof':self.getIpoProfessional, 'Economic Calendar Prof': self.getEconomicProfessional, 'Gainers, Losers, Active Prof': self.getMarketProfessional,
'Stocks Prof': self.getStockProfessional, 'Crypto Prof': self.getCryptoProfessional, 'Forex Prof': self.getForexProfessional, 'Jokes Prof': self.getJokesProfessional, 'Place (Reddit) Prof': self.getPlaceImageProfessional, 'Inspirational Quotes Prof': self.getQuotesProfessional, 'Stocks Prof': self.getStockProfessional, 'Global Stocks Prof': self.getGlobalStockProfessional, 'Crypto Prof': self.getCryptoProfessional, 'Forex Prof': self.getForexProfessional, 'Jokes Prof': self.getJokesProfessional, 'Place (Reddit) Prof': self.getPlaceImageProfessional, 'Inspirational Quotes Prof': self.getQuotesProfessional,
'Current Weather Prof': self.getTodayWeatherProfessional, 'News Prof':self.getNewsProfessional, 'Commodities Prof':self.getCommoditiesProfessional, 'Indices Prof': self.getIndicesProfessional, 'Sector Performance Prof': self.getSectorProfessional, 'Current Weather Prof': self.getTodayWeatherProfessional, 'News Prof':self.getNewsProfessional, 'Commodities Prof':self.getCommoditiesProfessional, 'Indices Prof': self.getIndicesProfessional, 'Sector Performance Prof': self.getSectorProfessional,
'Daily Forecast Prof':self.getDailyWeatherProfessional, 'Sports (Team Stats) Prof':lambda : self.getLeagueTableProfessional('NHL'), 'Sports (Upcoming Games) Prof': lambda : self.getLeagueProfessional('NHL', 'future'), 'Daily Forecast Prof':self.getDailyWeatherProfessional, 'Sports (Team Stats) Prof':lambda : self.getLeagueTableProfessional('NHL'), 'Sports (Upcoming Games) Prof': lambda : self.getLeagueProfessional('NHL', 'future'),
'Sports (Past Games) Prof': lambda : self.getLeagueProfessional('NBA', 'past'), 'Custom Messages Prof': self.getUserMessagesProfessional, 'Custom Images Prof': self.getUserImagesProfessional, 'Movies Prof': self.getMoviesProfessional, 'Sports (Live Games) Prof': lambda : self.getLeagueProfessional('NBA', 'live')} 'Sports (Past Games) Prof': lambda : self.getLeagueProfessional('NBA', 'past'), 'Custom Messages Prof': self.getUserMessagesProfessional, 'Custom Images Prof': self.getUserImagesProfessional, 'Movies Prof': self.getMoviesProfessional, 'Sports (Live Games) Prof': lambda : self.getLeagueProfessional('NBA', 'live')}
self.JSONs = {'Stocks': 'csv/stocks_settings.json', 'Crypto': 'csv/crypto_settings.json', 'Forex': 'csv/forex_settings.json', 'Jokes': 'csv/jokes_settings.json', 'Inspirational Quotes': 'csv/quotes_settings.json', self.JSONs = {'Stocks': 'csv/stocks_settings.json', 'Global Stocks': 'csv/globalstocks_settings.json', 'Crypto': 'csv/crypto_settings.json', 'Forex': 'csv/forex_settings.json', 'Jokes': 'csv/jokes_settings.json', 'Inspirational Quotes': 'csv/quotes_settings.json',
'Daily Forecast':'csv/daily_weather.json', 'Current Weather': 'csv/current_weather.json', 'Commodities':'csv/commodities_settings.json', 'Indices': 'csv/indices_settings.json', 'Daily Forecast':'csv/daily_weather.json', 'Current Weather': 'csv/current_weather.json', 'Commodities':'csv/commodities_settings.json', 'Indices': 'csv/indices_settings.json',
'Sports (Team Stats)': 'csv/league_tables.json', 'Sports (Past Games)': 'csv/past_games.json', 'IPO Calendar': 'csv/ipo_settings.json', 'Economic Calendar': 'csv/economic_settings.json', 'Sports (Team Stats)': 'csv/league_tables.json', 'Sports (Past Games)': 'csv/past_games.json', 'IPO Calendar': 'csv/ipo_settings.json', 'Economic Calendar': 'csv/economic_settings.json',
'Sports (Upcoming Games)': 'csv/upcoming_games.json', 'Sports (Live Games)': 'csv/live_games.json', 'Movies': 'csv/movie_settings.json', 'Clock 1': 'csv/clock1_settings.json', 'Clock 2': 'csv/clock2_settings.json', 'World Clock': 'csv/worldclock_settings.json', 'Sports (Upcoming Games)': 'csv/upcoming_games.json', 'Sports (Live Games)': 'csv/live_games.json', 'Movies': 'csv/movie_settings.json', 'Clock 1': 'csv/clock1_settings.json', 'Clock 2': 'csv/clock2_settings.json', 'World Clock': 'csv/worldclock_settings.json',
'News':'csv/news_settings.json', 'Custom Images': 'csv/image_settings.json', 'Custom GIFs': 'csv/GIF_settings.json', 'Custom Messages': 'csv/message_settings.json', 'Clock 1 Prof': 'csv/clock1_settings.json', 'World Clock Prof': 'csv/worldclock_settings.json', 'News':'csv/news_settings.json', 'Custom Images': 'csv/image_settings.json', 'Custom GIFs': 'csv/GIF_settings.json', 'Custom Messages': 'csv/message_settings.json', 'Clock 1 Prof': 'csv/clock1_settings.json', 'World Clock Prof': 'csv/worldclock_settings.json',
'Stocks Prof': 'csv/stocks_settings.json', 'Crypto Prof': 'csv/crypto_settings.json', 'Forex Prof': 'csv/forex_settings.json', 'Jokes Prof': 'csv/jokes_settings.json', 'Clock 2 Prof': 'csv/clock2_settings.json', 'Stocks Prof': 'csv/stocks_settings.json', 'Global Stocks Prof': 'csv/globalstocks_settings.json', 'Crypto Prof': 'csv/crypto_settings.json', 'Forex Prof': 'csv/forex_settings.json', 'Jokes Prof': 'csv/jokes_settings.json', 'Clock 2 Prof': 'csv/clock2_settings.json',
'Current Weather Prof': 'csv/current_weather.json', 'News Prof':'csv/news_settings.json', 'Commodities Prof':'csv/commodities_settings.json', 'Indices Prof': 'csv/indices_settings.json', 'Current Weather Prof': 'csv/current_weather.json', 'News Prof':'csv/news_settings.json', 'Commodities Prof':'csv/commodities_settings.json', 'Indices Prof': 'csv/indices_settings.json',
'Daily Forecast Prof':'csv/daily_weather.json', 'Sports (Team Stats) Prof': 'csv/league_tables.json', 'Sports (Upcoming Games) Prof': 'csv/upcoming_games.json', 'Sports (Past Games) Prof': 'csv/past_games.json', 'Custom Messages Prof': 'csv/message_settings.json', 'Custom Images Prof': 'csv/image_settings.json', 'Movies Prof': 'csv/movie_settings.json', 'Sports (Live Games) Prof': 'csv/live_games.json', 'IPO Calendar Prof': 'csv/ipo_settings.json', 'Economic Calendar Prof': 'csv/economic_settings.json', 'Daily Forecast Prof':'csv/daily_weather.json', 'Sports (Team Stats) Prof': 'csv/league_tables.json', 'Sports (Upcoming Games) Prof': 'csv/upcoming_games.json', 'Sports (Past Games) Prof': 'csv/past_games.json', 'Custom Messages Prof': 'csv/message_settings.json', 'Custom Images Prof': 'csv/image_settings.json', 'Movies Prof': 'csv/movie_settings.json', 'Sports (Live Games) Prof': 'csv/live_games.json', 'IPO Calendar Prof': 'csv/ipo_settings.json', 'Economic Calendar Prof': 'csv/economic_settings.json',
'Gainers, Losers, Active':'csv/market_settings.json', 'Gainers, Losers, Active Prof':'csv/market_settings.json', 'Sector Performance':'csv/sector_settings.json', 'Sector Performance Prof':'csv/sector_settings.json', 'Place (Reddit)':'csv/place_settings.json', 'Place (Reddit) Prof':'csv/place_settings.json'} 'Gainers, Losers, Active':'csv/market_settings.json', 'Gainers, Losers, Active Prof':'csv/market_settings.json', 'Sector Performance':'csv/sector_settings.json', 'Sector Performance Prof':'csv/sector_settings.json', 'Place (Reddit)':'csv/place_settings.json', 'Place (Reddit) Prof':'csv/place_settings.json'}
@ -3694,7 +3694,424 @@ class StockTicker():
finalDisplayImage = self.stitchImage(image_list) finalDisplayImage = self.stitchImage(image_list)
self.blank = Image.new('RGB', (10, 32)) self.blank = Image.new('RGB', (10, 32))
return finalDisplayImage return finalDisplayImage
def getGlobalStockImage(self):
f = open('csv/globalstocks_settings.json', 'r')
all_globalstocks_settings = json.load(f)
f.close()
if all_globalstocks_settings['title']:
title_img = self.openImage('feature_titles/globalstocks.png')
image_list = [title_img]
image_list.append(self.blank)
else:
image_list = []
if all_globalstocks_settings['chart']:
try:
f = open('csv/portfolio_global_settings.json', 'r')
portfolio_settings = json.load(f)['symbols']
f.close()
except:
pass
try:
if all_globalstocks_settings['display_name']:
names = True
else:
names = False
except:
names = False
pass
stock_info = all_globalstocks_settings['symbols']
symbols = list(stock_info.keys())
for i, symbol in enumerate(symbols):
try:
info = stock_info[symbol]
change = float(info['change']) #TEXT
if names:
try:
ticker = info['name'].upper() #TEXT
except:
ticker = symbol
else:
ticker = symbol
arrow, change = self.getArrow(change)
percent_change = '%.2f' % abs(float(info['percent_change'])) + '%'
point_change = '%.2f' % abs(change)
current = '%.2f' % float(info['current']) #TEXT
if not all_globalstocks_settings['percent']:
percent_change = False
if not all_globalstocks_settings['point']:
point_change = False
midFrame = self.textToImage(ticker, current, arrow, percent_change, point_change) #IMAGE THE TEXT
if all_globalstocks_settings['logos']:
try:
ticker = symbol
logos_path = os.path.join(os.path.join(os.path.dirname(os.path.abspath(__file__)), 'logos'), 'global_stocks')
logo = self.openImage(os.path.join(logos_path, ticker + '.png'))
stitchedStock = self.stitchImage([logo,midFrame])
except Exception as e:
stitchedStock = midFrame
else:
stitchedStock = midFrame
try:
if all_globalstocks_settings['lohivol']:
font = ImageFont.load("./fonts/5x8.pil")
try:
day_low = '%.2f' % float(info['day_low'])
day_high = '%.2f' % float(info['day_high'])
volume = info['volume']
daylow_img = self.textImage(day_low, font, r=0, g=255, b=0)
daylow_t_img = self.textImage('Lo', font, r=255, g=255, b=255)
dayhi_img = self.textImage(day_high, font, r=0,g=255,b=0)
dayhi_t_img = self.textImage('Hi', font, r=255,g=255,b=255)
vol_img = self.textImage(volume, font, r=0,g=255,b=0)
vol_t_img = self.textImage('Vol', font, r=255,g=255,b=255)
lohivol_img = Image.new('RGB', (max(daylow_img.size[0] + daylow_t_img.size[0], dayhi_img.size[0] + dayhi_t_img.size[0],
vol_img.size[0] + vol_t_img.size[0]) + 5, 32))
lohivol_img.paste(daylow_t_img, (0, 3))
lohivol_img.paste(daylow_img, (daylow_t_img.size[0],3))
lohivol_img.paste(dayhi_t_img, (0, 12))
lohivol_img.paste(dayhi_img, (dayhi_t_img.size[0], 12))
lohivol_img.paste(vol_t_img, (0, 21))
lohivol_img.paste(vol_img, (vol_t_img.size[0], 21))
except:
pass
except:
pass
try:
if all_globalstocks_settings['chart'] and (symbol in portfolio_settings): #IF USER INPUTTED PORTFOLIO SETTINGS, DISPLAY PORTFOLIO INFO
try:
cost = portfolio_settings[symbol]['cost']
day = portfolio_settings[symbol]['day']
day_start = datetime.strptime(str(day), "%Y-%m-%d")
day_today = datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%d"), "%Y-%m-%d")
day = str((day_today - day_start).days)
shares = portfolio_settings[symbol]['shares']
original_value = float(cost) * float(shares)
new_value = float(info['current']) * float(shares)
value_day_change_percent = ((float(info['percent_change'])/100) * new_value)
font = ImageFont.load("./fonts/5x8.pil")
cost_img = self.textImage('Cost', font, r = 255, g = 255 , b = 255)
cost2_img = self.textImage(cost, font, r = 0, g = 255, b = 0)
shares_img = self.textImage('Shares', font, r = 255, g = 255 , b = 255)
shares2_img = self.textImage(shares, font, r = 0, g = 255, b = 0)
pnlchange = new_value - original_value
pnlpercent = ((new_value - original_value) / original_value) * 100
pnlpercent_img = self.textImage('P/L%', font, r = 255, g = 255 , b = 255)
if pnlpercent >= 0:
pnlpercent2_img = self.textImage(str('%.2f' % abs(pnlpercent)) + '%', font, r = 0, g = 255, b = 0)
else:
pnlpercent2_img = self.textImage(str('%.2f' % abs(pnlpercent)) + '%', font, r = 255, g = 0, b = 0)
daypercent_img = self.textImage('Day%', font, r = 255, g = 255 , b = 255)
if float(info['percent_change']) >= 0:
daypercent2_img = self.textImage(str('%.2f' % abs(float(info['percent_change']))) +'%', font, r = 0, g = 255, b = 0)
else:
daypercent2_img = self.textImage(str('%.2f' % abs(float(info['percent_change'])))+'%', font, r = 255, g = 0, b = 0)
days_img = self.textImage('Days', font, r = 255, g = 255 , b = 255)
days2_img = self.textImage(day, font, r = 0, g = 255, b = 0)
value_img = self.textImage('Value', font, r = 255, g = 255 , b = 255)
value2_img = self.textImage(str('%.2f' % abs(original_value)), font, r = 0, g = 255, b = 0)
pnlchange_img = self.textImage('P/L$', font, r = 255, g = 255 , b = 255)
if pnlchange >= 0:
pnlchange2_img = self.textImage(str('%.2f' % abs(pnlchange)), font, r = 0, g = 255, b = 0)
else:
pnlchange2_img = self.textImage(str('%.2f' % abs(pnlchange)), font, r = 255, g = 0, b = 0)
daychange_img = self.textImage('Day$', font, r = 255, g = 255 , b = 255)
if value_day_change_percent >= 0:
daychange2_img = self.textImage(str('%.2f' % abs(value_day_change_percent)), font, r = 0, g = 255, b = 0)
else:
daychange2_img = self.textImage(str('%.2f' % abs(value_day_change_percent)), font, r = 255, g = 0, b = 0)
x_offset = 0
img = Image.new('RGB', (max(cost_img.size[0], cost2_img.size[0], days_img.size[0], days2_img.size[0]) + 7 +
max(shares_img.size[0], shares2_img.size[0], value2_img.size[0], value_img.size[0]) + 7 +
max(pnlpercent_img.size[0], pnlpercent2_img.size[0], pnlchange_img.size[0], pnlchange2_img.size[0]) + 7 +
max(daypercent_img.size[0], daypercent2_img.size[0], daychange_img.size[0], daychange2_img.size[0]) + 15, 32))
img.paste(cost_img, (x_offset, 0))
img.paste(cost2_img, (x_offset, 8))
img.paste(days_img, (x_offset, 16))
img.paste(days2_img, (x_offset, 24))
x_offset += max(cost_img.size[0], cost2_img.size[0], days_img.size[0], days2_img.size[0]) + 7
img.paste(shares_img, (x_offset, 0))
img.paste(shares2_img, (x_offset, 8))
img.paste(value_img, (x_offset, 16))
img.paste(value2_img, (x_offset, 24))
x_offset += max(shares_img.size[0], shares2_img.size[0], value2_img.size[0], value_img.size[0]) + 7
img.paste(pnlpercent_img, (x_offset, 0))
img.paste(pnlpercent2_img, (x_offset, 8))
img.paste(pnlchange_img, (x_offset, 16))
img.paste(pnlchange2_img, (x_offset, 24))
x_offset += max(pnlpercent_img.size[0], pnlpercent2_img.size[0], pnlchange_img.size[0], pnlchange2_img.size[0]) + 7
img.paste(daypercent_img, (x_offset, 0))
img.paste(daypercent2_img, (x_offset, 8))
img.paste(daychange_img, (x_offset,16))
img.paste(daychange2_img, (x_offset, 24))
except:
pass
except:
pass
image_list.append(stitchedStock)
try:
if all_globalstocks_settings['lohivol']:
try:
image_list.append(lohivol_img)
except:
pass
except:
pass
try:
if all_globalstocks_settings['chart'] and (symbol in portfolio_settings):
try:
image_list.append(img)
except:
pass
except:
pass
image_list.append(self.blank)
except Exception as e:
pass
finalDisplayImage = self.stitchImage(image_list)
return finalDisplayImage
def getGlobalStockProfessional(self):
self.blank = Image.new('RGB', (0, 16))
f = open('csv/globalstocks_settings.json', 'r')
all_stocks_settings = json.load(f)
f.close()
if all_stocks_settings['title']:
title_img = self.openImage('feature_titles/small_feature_titles/globalstocks.png')
image_list = [title_img, Image.new('RGB', (5, 16))]
image_list.append(self.blank)
else:
image_list = []
if all_stocks_settings['chart']:
try:
f = open('csv/portfolio_global_settings.json', 'r')
portfolio_settings = json.load(f)['symbols']
f.close()
except:
pass
try:
if all_stocks_settings['display_name']:
names = True
else:
names = False
except:
names = False
pass
stock_info = all_stocks_settings['symbols']
symbols = list(stock_info.keys())
for i, symbol in enumerate(symbols):
try:
info = stock_info[symbol]
change = float(info['change'])#TEXT
if names:
try:
ticker = info['name'].upper() + 'display_name' #TEXT
except:
ticker = symbol
else:
ticker = symbol
arrow, change = self.getArrow(change, professional=True)
if all_stocks_settings["percent"]:
change = '%.2f' % abs(float(info['percent_change'])) + '%'
else:
change = '%.2f' % abs(change)
current = '%.2f' % float(info['current']) #TEXT
midFrame = self.textToImageProf(ticker, current, change, arrow, font=ImageFont.load("./fonts/6x10.pil")) #IMAGE THE TEXT
if all_stocks_settings['logos']:
ticker = symbol
try:
logos_path = os.path.join(os.path.join(os.path.dirname(os.path.abspath(__file__)), 'logos'), 'global_stocks')
logo = Image.open(os.path.join(logos_path, ticker + '.png'))
# half the size of the logo
width, height = logo.size
logo = logo.resize((int(width/2), int(height/2)))
stitchedStock = self.stitchImage([logo,midFrame])
except Exception as e:
stitchedStock = midFrame
else:
stitchedStock = midFrame
try:
if all_stocks_settings['lohivol']:
font = ImageFont.load("./fonts/4x6.pil")
try:
day_low = '%.2f' % float(info['day_low'])
day_high = '%.2f' % float(info['day_high'])
volume = info['volume']
daylow_img = self.textImage(day_low, font, r=0, g=255, b=0)
daylow_t_img = self.textImage('Lo', font, r=255, g=255, b=255)
dayhi_img = self.textImage(day_high, font, r=0,g=255,b=0)
dayhi_t_img = self.textImage('Hi', font, r=255,g=255,b=255)
vol_img = self.textImage(volume, font, r=0,g=255,b=0)
vol_t_img = self.textImage('Vol', font, r=255,g=255,b=255)
lohivol_img = Image.new('RGB', (max(daylow_t_img.size[0] + daylow_img.size[0], dayhi_t_img.size[0] + dayhi_img.size[0]) + 2+vol_t_img.size[0] + vol_img.size[0] + 8, 16))
lohivol_img.paste(daylow_t_img, (0, 3))
lohivol_img.paste(daylow_img, (daylow_t_img.size[0],3))
lohivol_img.paste(dayhi_t_img, (0, 9))
lohivol_img.paste(dayhi_img, (dayhi_t_img.size[0], 9))
lohivol_img.paste(vol_t_img, (max(daylow_t_img.size[0] + daylow_img.size[0], dayhi_t_img.size[0] + dayhi_img.size[0])+2, 3))
lohivol_img.paste(vol_img, (max(daylow_t_img.size[0] + daylow_img.size[0], dayhi_t_img.size[0] + dayhi_img.size[0]) + 2+vol_t_img.size[0], 3))
except:
pass
except:
pass
try:
if all_stocks_settings['chart'] and (symbol in portfolio_settings): #IF USER INPUTTED PORTFOLIO SETTINGS, DISPLAY PORTFOLIO INFO
try:
cost = portfolio_settings[symbol]['cost']
day = portfolio_settings[symbol]['day']
day_start = datetime.strptime(str(day), "%Y-%m-%d")
day_today = datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%d"), "%Y-%m-%d")
day = str((day_today - day_start).days)
shares = portfolio_settings[symbol]['shares']
original_value = float(cost) * float(shares)
new_value = float(info['current']) * float(shares)
value_day_change_percent = ((float(info['percent_change'])/100) * new_value)
font = ImageFont.load("./fonts/5x8.pil")
cost_img = self.textImage('Cost', font, r = 255, g = 255 , b = 255)
cost2_img = self.textImage(cost, font, r = 0, g = 255, b = 0)
shares_img = self.textImage('Shares', font, r = 255, g = 255 , b = 255)
shares2_img = self.textImage(shares, font, r = 0, g = 255, b = 0)
pnlchange = new_value - original_value
pnlpercent = ((new_value - original_value) / original_value) * 100
pnlpercent_img = self.textImage('P/L%', font, r = 255, g = 255 , b = 255)
if pnlpercent >= 0:
pnlpercent2_img = self.textImage(str('%.2f' % abs(pnlpercent)) + '%', font, r = 0, g = 255, b = 0)
else:
pnlpercent2_img = self.textImage(str('%.2f' % abs(pnlpercent)) + '%', font, r = 255, g = 0, b = 0)
daypercent_img = self.textImage('Day%', font, r = 255, g = 255 , b = 255)
if float(info['percent_change']) >= 0:
daypercent2_img = self.textImage(str('%.2f' % abs(float(info['percent_change']))) +'%', font, r = 0, g = 255, b = 0)
else:
daypercent2_img = self.textImage(str('%.2f' % abs(float(info['percent_change'])))+'%', font, r = 255, g = 0, b = 0)
days_img = self.textImage('Days', font, r = 255, g = 255 , b = 255)
days2_img = self.textImage(day, font, r = 0, g = 255, b = 0)
value_img = self.textImage('Value', font, r = 255, g = 255 , b = 255)
value2_img = self.textImage(str('%.2f' % abs(original_value)), font, r = 0, g = 255, b = 0)
pnlchange_img = self.textImage('P/L$', font, r = 255, g = 255 , b = 255)
if pnlchange >= 0:
pnlchange2_img = self.textImage(str('%.2f' % abs(pnlchange)), font, r = 0, g = 255, b = 0)
else:
pnlchange2_img = self.textImage(str('%.2f' % abs(pnlchange)), font, r = 255, g = 0, b = 0)
daychange_img = self.textImage('Day$', font, r = 255, g = 255 , b = 255)
if value_day_change_percent >= 0:
daychange2_img = self.textImage(str('%.2f' % abs(value_day_change_percent)), font, r = 0, g = 255, b = 0)
else:
daychange2_img = self.textImage(str('%.2f' % abs(value_day_change_percent)), font, r = 255, g = 0, b = 0)
x_offset = 0
img = Image.new('RGB', (max(cost_img.size[0], cost2_img.size[0]) + 5 + max(days_img.size[0], days2_img.size[0]) + 5 +
max(shares_img.size[0], shares2_img.size[0]) + 5 + max(value2_img.size[0], value_img.size[0]) + 5 +
max(pnlpercent_img.size[0], pnlpercent2_img.size[0]) + 5 + max(pnlchange_img.size[0], pnlchange2_img.size[0]) + 5 +
max(daypercent_img.size[0], daypercent2_img.size[0]) + 5 + max(daychange_img.size[0], daychange2_img.size[0]) + 10,16))
img.paste(cost_img, (x_offset, 1))
img.paste(cost2_img, (x_offset, 9))
x_offset += max(cost_img.size[0], cost2_img.size[0]) + 4
img.paste(days_img, (x_offset, 1))
img.paste(days2_img, (x_offset, 9))
x_offset += max(days_img.size[0], days2_img.size[0]) + 4
img.paste(shares_img, (x_offset, 1))
img.paste(shares2_img, (x_offset, 9))
x_offset += max(shares_img.size[0], shares2_img.size[0]) + 4
img.paste(value_img, (x_offset, 1))
img.paste(value2_img, (x_offset, 9))
x_offset += max(value2_img.size[0], value_img.size[0]) + 4
img.paste(pnlpercent_img, (x_offset, 1))
img.paste(pnlpercent2_img, (x_offset, 9))
x_offset += max(pnlpercent_img.size[0], pnlpercent2_img.size[0]) + 4
img.paste(pnlchange_img, (x_offset, 1))
img.paste(pnlchange2_img, (x_offset, 9))
x_offset += max(pnlchange_img.size[0], pnlchange2_img.size[0]) + 4
img.paste(daypercent_img, (x_offset, 1))
img.paste(daypercent2_img, (x_offset, 9))
x_offset += max(daypercent_img.size[0], daypercent2_img.size[0]) + 4
img.paste(daychange_img, (x_offset,1))
img.paste(daychange2_img, (x_offset, 9))
except:
pass
except:
pass
image_list.append(stitchedStock)
try:
if all_stocks_settings['lohivol']:
try:
image_list.append(lohivol_img)
except:
pass
except:
pass
try:
if all_stocks_settings['chart'] and (symbol in portfolio_settings):
try:
image_list.append(img)
except:
pass
except:
pass
image_list.append(self.blank)
except Exception as e:
pass
finalDisplayImage = self.stitchImage(image_list)
self.blank = Image.new('RGB', (10, 32))
return finalDisplayImage
def getNewsImage(self): def getNewsImage(self):
@ -9848,6 +10265,7 @@ class StockTicker():
sector = self.getSectorProfessional() sector = self.getSectorProfessional()
place = self.getPlaceImageProfessional() place = self.getPlaceImageProfessional()
quotes = self.getQuotesProfessional() quotes = self.getQuotesProfessional()
globalstocks = self.getGlobalStockProfessional()
x_offset = 0 x_offset = 0
news.paste(weather, (x_offset, 16)) news.paste(weather, (x_offset, 16))
@ -9892,6 +10310,8 @@ class StockTicker():
x_offset += place.size[0] x_offset += place.size[0]
news.paste(quotes, (x_offset, 16)) news.paste(quotes, (x_offset, 16))
x_offset += quotes.size[0] x_offset += quotes.size[0]
news.paste(globalstocks, (x_offset, 16))
x_offset += globalstocks.size[0]
self.double_buffer = self.matrix.CreateFrameCanvas() self.double_buffer = self.matrix.CreateFrameCanvas()
while True: while True:
kill = stock_ticker.scrollImage(news, offset_x = 128) kill = stock_ticker.scrollImage(news, offset_x = 128)
@ -10002,6 +10422,9 @@ class StockTicker():
elif msg == 'IQ': elif msg == 'IQ':
self.scrollFunctionsAnimated(['quotes', 'quotes'],animation = 'traditional') self.scrollFunctionsAnimated(['quotes', 'quotes'],animation = 'traditional')
elif msg == 'GS':
self.scrollFunctionsAnimated(['globalstocks', 'globalstocks'],animation = 'traditional')
elif msg == 'A': #everything elif msg == 'A': #everything