professional diaply working
This commit is contained in:
Neythen
parent
9d9306245e
commit
e1e17d0df2
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{"feature": "Stocks", "speed": "medium", "animation": "down", "percent": false, "point": false, "logos": true, "chart": false, "title": true, "symbols": {"NEO,USD": {"current": 41.17, "24hr_change": -0.8456587230187674}, "BTC,USD": {"current": 58006, "24hr_change": 0.3176129592444612}, "ETH,BTC": {"current": 0.07311235, "24hr_change": 0.7542195107438717}, "ADA,GBP": {"current": 1.4, "24hr_change": 1.2844510982491046}}}
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{"feature": "Stocks", "speed": "medium", "animation": "down", "percent": false, "point": false, "logos": true, "chart": false, "title": true, "symbols": {"NEO,USD": {"current": 40.18, "24hr_change": -5.751214034292039}, "BTC,USD": {"current": 56312, "24hr_change": -5.868224745675183}, "ETH,BTC": {"current": 0.07319404, "24hr_change": -5.605857292449335}, "ADA,GBP": {"current": 1.33, "24hr_change": -5.444920011868605}}}
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{"feature": "Current Weather", "speed": "medium", "animation": "down", "temp": "celsius", "wind_speed": "miles/sec", "colour": "white", "city_colour": "yellow", "title": true, "locations": {"Beijing": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 3.94, "min_temp": 3.94, "max_temp": 8.81, "feels_like": 3.94, "humidity": 51, "clouds": 100, "wind_speed": 1.24, "wind_direction": 139, "visibility": 10000, "uv": 0, "rain_chance": 0.03}, "London": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 10.09, "min_temp": 8.65, "max_temp": 11.15, "feels_like": 9.32, "humidity": 83, "clouds": 90, "wind_speed": 3.6, "wind_direction": 280, "visibility": 10000, "uv": 0.15, "rain_chance": 0}, "Tokyo": {"main_weather": "Clouds", "description": "few clouds", "temp": 12.97, "min_temp": 12.97, "max_temp": 16.47, "feels_like": 12.2, "humidity": 72, "clouds": 20, "wind_speed": 0.89, "wind_direction": 78, "visibility": 10000, "uv": 0, "rain_chance": 0}, "Moscow": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 1.24, "min_temp": 0.15, "max_temp": 1.24, "feels_like": -4.66, "humidity": 91, "clouds": 100, "wind_speed": 7.86, "wind_direction": 321, "visibility": 10000, "uv": 0, "rain_chance": 0.9}}, "current_weather": true}
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{"feature": "Current Weather", "speed": "medium", "animation": "down", "temp": "celsius", "wind_speed": "miles/sec", "colour": "white", "city_colour": "yellow", "title": true, "locations": {"Beijing": {"main_weather": "Clear", "description": "clear sky", "temp": -7.06, "min_temp": -7.06, "max_temp": 7.02, "feels_like": -10.16, "humidity": 24, "clouds": 0, "wind_speed": 1.69, "wind_direction": 301, "visibility": 10000, "uv": 0, "rain_chance": 0}, "Moscow": {"main_weather": "Clouds", "description": "broken clouds", "temp": -2.92, "min_temp": -3.71, "max_temp": -0.38, "feels_like": -7.99, "humidity": 77, "clouds": 72, "wind_speed": 4.16, "wind_direction": 298, "visibility": 10000, "uv": 0, "rain_chance": 0}, "London": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 5.62, "min_temp": 4.84, "max_temp": 9.55, "feels_like": 5.62, "humidity": 89, "clouds": 100, "wind_speed": 0.45, "wind_direction": 58, "visibility": 10000, "uv": 0, "rain_chance": 0}, "Tokyo": {"main_weather": "Clouds", "description": "broken clouds", "temp": 13.22, "min_temp": 12.06, "max_temp": 15.34, "feels_like": 12.06, "humidity": 56, "clouds": 75, "wind_speed": 3.13, "wind_direction": 326, "visibility": 10000, "uv": 0, "rain_chance": 0}}, "current_weather": true}
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{"feature": "Current Weather", "speed": "medium", "animation": "continuous", "temp": "celsius", "wind_speed": "miles/sec", "colour": "white", "city_colour": "yellow", "title": true, "locations": {"Beijing": [{"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 3.94, "max_temp": 8.81}, {"main_weather": "Rain", "description": "light rain", "min_temp": 2.45, "max_temp": 7.54}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 0.17, "max_temp": 3.41}, {"main_weather": "Clear", "description": "clear sky", "min_temp": -0.49, "max_temp": 7.39}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 1.3, "max_temp": 7.49}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 3.47, "max_temp": 10.49}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 3.41, "max_temp": 9.49}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 1.39, "max_temp": 6.74}], "London": [{"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 8.65, "max_temp": 11.15}, {"main_weather": "Clouds", "description": "few clouds", "min_temp": 4.85, "max_temp": 9.55}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 4.65, "max_temp": 9.51}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 5.93, "max_temp": 8.97}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 5.56, "max_temp": 8.24}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 5.06, "max_temp": 8.16}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 2.55, "max_temp": 5.05}, {"main_weather": "Rain", "description": "light rain", "min_temp": 2.76, "max_temp": 6.97}], "Tokyo": [{"main_weather": "Rain", "description": "light rain", "min_temp": 12.97, "max_temp": 16.47}, {"main_weather": "Rain", "description": "moderate rain", "min_temp": 14.97, "max_temp": 19.03}, {"main_weather": "Rain", "description": "light rain", "min_temp": 13.66, "max_temp": 15.7}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 10.62, "max_temp": 14.74}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 9.8, "max_temp": 14.25}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 10.77, "max_temp": 15.55}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 11.35, "max_temp": 17.33}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 10.32, "max_temp": 13.98}], "Moscow": [{"main_weather": "Snow", "description": "rain and snow", "min_temp": 0.15, "max_temp": 1.24}, {"main_weather": "Snow", "description": "snow", "min_temp": 0.23, "max_temp": 1.38}, {"main_weather": "Snow", "description": "light snow", "min_temp": -5.68, "max_temp": 0.51}, {"main_weather": "Clouds", "description": "few clouds", "min_temp": -6.8, "max_temp": -4.63}, {"main_weather": "Snow", "description": "light snow", "min_temp": -6.12, "max_temp": 0.48}, {"main_weather": "Snow", "description": "light snow", "min_temp": 0.48, "max_temp": 2.15}, {"main_weather": "Snow", "description": "light snow", "min_temp": -1.78, "max_temp": 2.11}, {"main_weather": "Snow", "description": "light snow", "min_temp": -5.05, "max_temp": -3.1}]}, "current_weather": true}
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{"feature": "Current Weather", "speed": "medium", "animation": "continuous", "temp": "celsius", "wind_speed": "miles/sec", "colour": "white", "city_colour": "yellow", "title": true, "locations": {"Beijing": [{"main_weather": "Clear", "description": "clear sky", "min_temp": -7.06, "max_temp": 7.02}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 1.15, "max_temp": 8.89}, {"main_weather": "Clouds", "description": "few clouds", "min_temp": 2.62, "max_temp": 9.18}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 3.78, "max_temp": 10.53}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 3.22, "max_temp": 9.12}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 4.77, "max_temp": 9.55}, {"main_weather": "Rain", "description": "light rain", "min_temp": 2.55, "max_temp": 7.18}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 2, "max_temp": 7.95}], "Moscow": [{"main_weather": "Clouds", "description": "broken clouds", "min_temp": -3.71, "max_temp": -0.38}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": -6.45, "max_temp": -3.11}, {"main_weather": "Snow", "description": "snow", "min_temp": -5.88, "max_temp": 0.57}, {"main_weather": "Clouds", "description": "overcast clouds", "min_temp": 0.8, "max_temp": 1.59}, {"main_weather": "Clouds", "description": "scattered clouds", "min_temp": -0.24, "max_temp": 1.77}, {"main_weather": "Snow", "description": "light snow", "min_temp": -0.44, "max_temp": 1.89}, {"main_weather": "Snow", "description": "rain and snow", "min_temp": 0.19, "max_temp": 2.4}, {"main_weather": "Rain", "description": "light rain", "min_temp": 0.79, "max_temp": 2.9}], "London": [{"main_weather": "Clear", "description": "clear sky", "min_temp": 4.84, "max_temp": 9.55}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 4.53, "max_temp": 9.03}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 4.25, "max_temp": 8.04}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 3.91, "max_temp": 6.74}, {"main_weather": "Rain", "description": "light rain", "min_temp": 1.82, "max_temp": 6.47}, {"main_weather": "Snow", "description": "rain and snow", "min_temp": 2.03, "max_temp": 3.64}, {"main_weather": "Rain", "description": "light rain", "min_temp": 2.3, "max_temp": 4.59}, {"main_weather": "Rain", "description": "light rain", "min_temp": 1.9, "max_temp": 8.71}], "Tokyo": [{"main_weather": "Rain", "description": "light rain", "min_temp": 12.06, "max_temp": 15.34}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 10.48, "max_temp": 15.59}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 10.66, "max_temp": 15.5}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 10.38, "max_temp": 14.9}, {"main_weather": "Rain", "description": "light rain", "min_temp": 10.57, "max_temp": 13.45}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 8.53, "max_temp": 13.12}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 8.1, "max_temp": 13.65}, {"main_weather": "Rain", "description": "light rain", "min_temp": 10.92, "max_temp": 17.44}]}, "current_weather": true}
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["Stocks", "Crypto"]
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["Professional", [["Daily Forecast", "News", "Stocks"], ["Crypto"]]]
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{"stocks": "20/11/2021 10:13:08", "crypto": "20/11/2021 10:23:46", "news": "20/11/2021 10:13:16", "weather": "20/11/2021 10:13:13", "forex": "20/11/2021 16:13:20", "sports": "20/11/2021 10:13:17"}
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{"stocks": "22/11/2021 14:06:10", "crypto": "22/11/2021 14:04:13", "news": "22/11/2021 14:04:16", "weather": "22/11/2021 14:04:14", "forex": "22/11/2021 20:04:19", "sports": "22/11/2021 14:04:16"}
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speed,brightness
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f,9
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f,3
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{"feature": "Stocks", "speed": "medium", "animation": "down", "percent": true, "point": true, "logos": false, "chart": false, "title": true, "symbols": {"MSFT": {"current": 343.2, "opening": 342.74}, "GOOG": {"current": 2999.02, "opening": 3020.64}}}
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{"feature": "Stocks", "speed": "medium", "animation": "down", "percent": true, "point": true, "logos": false, "chart": false, "title": true, "symbols": {"MSFT": {"current": 343.04, "opening": 344.57}, "GOOG": {"current": 2957, "opening": 3006.525}}}
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log.txt
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log.txt
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[Errno 2] No such file or directory: './display_images/Daily Forecast Prof.ppm'. file: stockTicker.py. line: 2480. type: <class 'FileNotFoundError'>
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Traceback (most recent call last):
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File "stockTicker.py", line 2480, in <module>
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stock_ticker.process_msg(msg)
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File "stockTicker.py", line 2439, in process_msg
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self.scrollProfessionalAnimated(userSettings[1])
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File "stockTicker.py", line 452, in scrollProfessionalAnimated
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image1 = self.openImage('./display_images/' + top[i1 % len(top)] +' Prof.ppm')
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File "stockTicker.py", line 87, in openImage
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image = Image.open(image_file)
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File "/usr/lib/python3/dist-packages/PIL/Image.py", line 2634, in open
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fp = builtins.open(filename, "rb")
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FileNotFoundError: [Errno 2] No such file or directory: './display_images/Daily Forecast Prof.ppm'
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91
server.py
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server.py
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app = Flask(__name__)
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@app.route("/", methods=['GET', 'POST'])
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def index():
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global command
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all_features = ['Current Weather','Daily Forecast','News', 'Sports (Upcoming Games)','Sports (Past Games)','Sports (Live Games)',
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global command
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all_features = ['Current Weather','Daily Forecast','News', 'Sports (Upcoming Games)','Sports (Past Games)','Sports (Live Games)',
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'Sports (Team Stats)','Custom Images', 'Custom GIFs', 'Custom Messages', 'Stocks', 'Crypto', 'Forex']
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currently_displaying = json.load(open('csv/display_settings.json', 'r'))
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not_displaying = [f for f in all_features if f not in currently_displaying]
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now = datetime.datetime.now()
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timeString = now.strftime("%Y-%m-%d %H:%M")
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logos_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'logos')
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LogoList = os.listdir(logos_path)
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stocks_settings = json.load(open('csv/stocks_settings.json', 'r'))
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crypto_settings = json.load(open('csv/crypto_settings.json', 'r'))
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forex_settings = json.load(open('csv/forex_settings.json', 'r'))
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current_weather= json.load(open('csv/current_weather.json', 'r'))
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daily_weather = json.load(open('csv/daily_weather.json', 'r'))
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news_settings = json.load(open('csv/news_settings.json', 'r'))
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upcoming_games = json.load(open('csv/upcoming_games.json', 'r'))
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live_games = json.load(open('csv/live_games.json', 'r'))
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past_games = json.load(open('csv/past_games.json', 'r'))
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team_stats = json.load(open('csv/league_tables.json', 'r'))
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image_settings = json.load(open('csv/image_settings.json', 'r'))
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GIF_settings = json.load(open('csv/GIF_settings.json', 'r'))
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message_settings = json.load(open('csv/message_settings.json', 'r'))
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templateData = {
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global professional
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feature_settings = json.load(open('csv/display_settings.json', 'r'))
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if not professional:
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currently_displaying = json.load(open('csv/display_settings.json', 'r'))[1]
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not_displaying = [f for f in all_features if f not in currently_displaying]
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elif professional:
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currently_displaying = json.load(open('csv/display_settings.json', 'r'))[1]
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not_displaying = [f for f in all_features if f not in currently_displaying[0] and f not in currently_displaying[1]]
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now = datetime.datetime.now()
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timeString = now.strftime("%Y-%m-%d %H:%M")
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logos_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'logos')
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LogoList = os.listdir(logos_path)
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stocks_settings = json.load(open('csv/stocks_settings.json', 'r'))
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crypto_settings = json.load(open('csv/crypto_settings.json', 'r'))
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forex_settings = json.load(open('csv/forex_settings.json', 'r'))
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current_weather= json.load(open('csv/current_weather.json', 'r'))
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daily_weather = json.load(open('csv/daily_weather.json', 'r'))
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news_settings = json.load(open('csv/news_settings.json', 'r'))
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upcoming_games = json.load(open('csv/upcoming_games.json', 'r'))
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live_games = json.load(open('csv/live_games.json', 'r'))
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past_games = json.load(open('csv/past_games.json', 'r'))
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team_stats = json.load(open('csv/league_tables.json', 'r'))
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image_settings = json.load(open('csv/image_settings.json', 'r'))
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GIF_settings = json.load(open('csv/GIF_settings.json', 'r'))
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message_settings = json.load(open('csv/message_settings.json', 'r'))
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templateData = {
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'currently_displaying': currently_displaying,
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'not_displaying': not_displaying,
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'stocks_settings': stocks_settings,
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'team_stats': team_stats,
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'image_settings':image_settings,
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'GIF_settings':GIF_settings,
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'message_settings':message_settings
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'message_settings':message_settings,
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'professional':professional
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}
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return render_template('index.html', **templateData)
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return render_template('index.html', **templateData)
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global displaying_screensaver
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global ticker
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global api_caller
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global professional
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if displaying_screensaver:
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screensaver_p.close()
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api_caller = pexpect.spawn("sudo -E python3 api_caller.py")
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displaying_screensaver = False
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print(professional)
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data = str(request.data)
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all_settings = ['Stocks', 'Crypto', 'Forex', 'Current Weather', 'Daily Forecast', 'News', 'Sports (Upcoming Games)', 'Sports (Past Games)',
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if professional:
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all_settings = ['Stocks', 'Crypto', 'Forex', 'Current Weather', 'News']
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print(professional)
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positions = []
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display_settings = []
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data = str(request.data.decode('utf-8'))
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for setting in all_settings:
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pos = data.find(setting)
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if pos != -1:
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if professional:
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setting += ' Prof'
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display_settings.append(setting)
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positions.append(pos)
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# sort settings by display
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inds = np.argsort(positions)
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display_settings = np.array(display_settings)[inds]
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input_settings = json.loads(data)
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s = "Professional" if professional else "Standard"
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display_settings = [s] + [input_settings]
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with open('csv/display_settings.json', 'w+') as f:
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json.dump(list(display_settings), f)
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var startButton = document.getElementById("start-btn");
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// start the display
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startButton.addEventListener("click", () => {
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var HTML = document.getElementById("display-format").innerHTML;
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fetch("/start", {
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method: "PUT",
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body: JSON.stringify(HTML),
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});
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let opt = getSelected(displayFormats);
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if (opt.includes("Standard")) {
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var list_el = document.getElementById("display-format");
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let features = getListItems(list_el);
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fetch("/start", {
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method: "PUT",
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body: JSON.stringify(features),
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});
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} else if (opt.includes("Professional")) {
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var top_list_el = document.getElementById("display-format");
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let top_features = getListItems(top_list_el);
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var bot_list_el = document.getElementById("display-format-2");
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let bot_features = getListItems(bot_list_el);
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let features = [top_features, bot_features];
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fetch("/start", {
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method: "PUT",
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body: JSON.stringify(features),
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});
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}
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});
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var brightnessButton = document.getElementById("brightness-btn");
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self.blank = Image.new('RGB', (10, 32))
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self.running = True
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settings = open('csv/settings.csv')
|
||||
|
||||
line = settings.readlines()[1]
|
||||
|
||||
|
||||
self.brightness = (float(line[2])+1)*10
|
||||
|
||||
|
||||
|
||||
|
||||
# Configuration for the matrix
|
||||
options = RGBMatrixOptions()
|
||||
options.rows = 32
|
||||
@ -440,32 +434,35 @@ class StockTicker():
|
||||
|
||||
# scrolls trhough all functions with animation. Updates functions and remakes images when each function not being dispplayed
|
||||
|
||||
top = options[0]
|
||||
bottom = options[1]
|
||||
|
||||
|
||||
|
||||
self.updateMultiple(options[0:2])
|
||||
self.updateMultiple([top[0], bottom[0]])
|
||||
|
||||
kill = False
|
||||
i1 = 0 # keep track of which image we are displaying
|
||||
i2 = 1 # keep track of which image we are displaying
|
||||
i2 = 0 # keep track of which image we are displaying
|
||||
|
||||
self.double_buffer = self.matrix.CreateFrameCanvas()
|
||||
update_process = Process(target = self.updateMultiple, args = ([options[(max(i1,i2)+1) % len(options)]],))
|
||||
update_process = Process(target = self.updateMultiple, args = ([top[(i1+1) % len(top)]+ ' Prof', bottom[(i2+1) % len(bottom)]+ ' Prof' ],))
|
||||
update_process.start()
|
||||
|
||||
image1 = self.openImage('./display_images/' + options[i1 % len(options)] +'.ppm')
|
||||
image1 = self.openImage('./display_images/' + top[i1 % len(top)] +' Prof.ppm')
|
||||
image1 = image1.convert('RGB')
|
||||
|
||||
print(options[i2 % len(options)])
|
||||
image2 = self.openImage('./display_images/' + options[i2 % len(options)] +'.ppm')
|
||||
|
||||
image2 = self.openImage('./display_images/' + bottom[i2 % len(bottom)] +' Prof.ppm')
|
||||
image2 = image2.convert('RGB')
|
||||
|
||||
|
||||
settings1 = json.load(open(self.JSONs[options[0]]))
|
||||
settings1 = json.load(open(self.JSONs[top[i1 % len(top)]]))
|
||||
|
||||
delay_t1 = self.set_delay(settings1['speed'])
|
||||
animation1 = settings1['animation'].lower()
|
||||
|
||||
settings2 = json.load(open(self.JSONs[options[1]]))
|
||||
settings2 = json.load(open(self.JSONs[bottom[i2 % len(bottom)] ]))
|
||||
delay_t2 = self.set_delay(settings2['speed'])
|
||||
animation2 = settings2['animation'].lower()
|
||||
|
||||
@ -491,15 +488,13 @@ class StockTicker():
|
||||
img_width2, img_height2 = image2.size
|
||||
kill = False
|
||||
|
||||
delay_t1 = 0.02
|
||||
delay_t2 = 0.025
|
||||
update_t1 = time.time()
|
||||
update_t2 = time.time()
|
||||
while True:
|
||||
|
||||
if offset_x1 < -(img_width1+1):
|
||||
i1 = max(i1, i2) + 1
|
||||
settings1 = json.load(open(self.JSONs[options[i1 % len(options)]]))
|
||||
i1 += 1
|
||||
settings1 = json.load(open(self.JSONs[top[i1 % len(top)]]))
|
||||
|
||||
delay_t1 = self.set_delay(settings1['speed'])
|
||||
animation1 = settings1['animation'].lower()
|
||||
@ -512,15 +507,15 @@ class StockTicker():
|
||||
offset_x1 = 0
|
||||
|
||||
update_process.join()
|
||||
update_process = Process(target = self.updateMultiple, args = ([options[i1 % len(options)]],))
|
||||
update_process = Process(target = self.updateMultiple, args = ([top[i1 % len(top)]+ ' Prof'],))
|
||||
update_process.start()
|
||||
image1 = self.openImage('./display_images/' + options[i1 % len(options)] +'.ppm')
|
||||
image1 = self.openImage('./display_images/' + top[i1 % len(top)] +' Prof.ppm')
|
||||
image1 = image1.convert('RGB')
|
||||
img_width1, img_height1 = image1.size
|
||||
|
||||
if offset_x2 < -(img_width2+1):
|
||||
i2 = max(i1, i2) + 1
|
||||
settings2 = json.load(open(self.JSONs[options[(i2) % len(options)]]))
|
||||
i2 += 1
|
||||
settings2 = json.load(open(self.JSONs[bottom[(i2) % len(bottom)]]))
|
||||
delay_t2 = self.set_delay(settings2['speed'])
|
||||
animation2 = settings2['animation'].lower()
|
||||
|
||||
@ -533,9 +528,9 @@ class StockTicker():
|
||||
|
||||
|
||||
update_process.join()
|
||||
update_process = Process(target = self.updateMultiple, args = ([options[i2 % len(options)]],))
|
||||
update_process = Process(target = self.updateMultiple, args = ([bottom[i2 % len(bottom)]+ ' Prof'],))
|
||||
update_process.start()
|
||||
image2 = self.openImage('./display_images/' + options[i2 % len(options)] +'.ppm')
|
||||
image2 = self.openImage('./display_images/' + bottom[i2 % len(bottom)] +' Prof.ppm')
|
||||
image2 = image2.convert('RGB')
|
||||
img_width2, img_height2 = image2.size
|
||||
|
||||
@ -2440,10 +2435,10 @@ class StockTicker():
|
||||
#userSettings = ['crypto', 'stocks'] # these wil be read from csv, just for demo
|
||||
#userSettings = [ 'display_image', 'news'] # these wil be read from csv, just for demo
|
||||
userSettings = json.load(open('csv/display_settings.json'))
|
||||
if len(userSettings)>0 and 'Prof' in userSettings[0] : #if professional display
|
||||
self.scrollProfessionalAnimated(userSettings)
|
||||
elif len(userSettings)>0:
|
||||
self.scrollFunctionsAnimated(userSettings, animation = 'down')
|
||||
if len(userSettings[1][0])>0 and len(userSettings[1][1])>0 and 'Professional'==userSettings[0] : #if professional display
|
||||
self.scrollProfessionalAnimated(userSettings[1])
|
||||
elif len(userSettings[1])>0 and 'Standard'==userSettings[0]:
|
||||
self.scrollFunctionsAnimated(userSettings[1], animation = 'down')
|
||||
|
||||
elif msg == 'b':
|
||||
userSettings = json.load(open('csv/display_settings.json'))
|
||||
|
||||
@ -272,9 +272,20 @@
|
||||
id="display-format"
|
||||
class="display-features-list text-dark"
|
||||
>
|
||||
{% for f in currently_displaying %}
|
||||
<li>{{f}}</li>
|
||||
{% endfor%}
|
||||
|
||||
{%if not professional%}
|
||||
{% for f in currently_displaying %}
|
||||
<li>{{f}}</li>
|
||||
{% endfor%}
|
||||
{%endif%}
|
||||
|
||||
{%if professional%}
|
||||
{% for f in currently_displaying[0] %}
|
||||
<li>{{f}}</li>
|
||||
{% endfor%}
|
||||
{%endif%}
|
||||
|
||||
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
@ -347,6 +358,12 @@
|
||||
<ul
|
||||
id="display-format-2"
|
||||
class="display-features-list text-dark"
|
||||
{%if professional%}
|
||||
{% for f in currently_displaying[1] %}
|
||||
<li> {{f}} </li>
|
||||
{% endfor%}
|
||||
{%endif%}
|
||||
|
||||
></ul>
|
||||
</div>
|
||||
</div>
|
||||
@ -492,9 +509,7 @@
|
||||
type="checkbox"
|
||||
value=""
|
||||
id="flexCheckChecked"
|
||||
{%
|
||||
if
|
||||
stocks_settings.percent%}
|
||||
{%if stocks_settings.percent%}
|
||||
checked
|
||||
{%endif%}
|
||||
/>
|
||||
|
||||
Loading…
Reference in New Issue
Block a user