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professional diaply working

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Neythen 2021-11-22 19:19:26 +00:00
parent e1e17d0df2
commit badcfb47e1
13 changed files with 13 additions and 20 deletions
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2
csv/crypto_settings.json
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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}}}
{"feature": "Stocks", "speed": "medium", "animation": "down", "percent": false, "point": false, "logos": true, "chart": false, "title": true, "symbols": {"NEO,USD": {"current": 40.64, "24hr_change": -4.545324570981437}, "BTC,USD": {"current": 56740, "24hr_change": -5.016422821619689}, "ETH,BTC": {"current": 0.07348605, "24hr_change": -4.828763639147195}, "ADA,GBP": {"current": 1.33, "24hr_change": -4.802144813755147}}}

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csv/current_weather.json
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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}
{"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": 76, "clouds": 72, "wind_speed": 4.16, "wind_direction": 298, "visibility": 10000, "uv": 0, "rain_chance": 0}, "London": {"main_weather": "Clouds", "description": "overcast clouds", "temp": 5.69, "min_temp": 4.87, "max_temp": 9.57, "feels_like": 5.69, "humidity": 87, "clouds": 100, "wind_speed": 0.45, "wind_direction": 58, "visibility": 10000, "uv": 0, "rain_chance": 0}, "Tokyo": {"main_weather": "Clouds", "description": "broken clouds", "temp": 13.18, "min_temp": 12.06, "max_temp": 15.33, "feels_like": 12.02, "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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csv/daily_weather.json
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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}
{"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": 4.87, "max_temp": 9.57}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 4.55, "max_temp": 9.05}, {"main_weather": "Clear", "description": "clear sky", "min_temp": 4.28, "max_temp": 8.06}, {"main_weather": "Clouds", "description": "broken clouds", "min_temp": 3.94, "max_temp": 6.76}, {"main_weather": "Rain", "description": "light rain", "min_temp": 1.84, "max_temp": 6.49}, {"main_weather": "Snow", "description": "rain and snow", "min_temp": 2.05, "max_temp": 3.66}, {"main_weather": "Rain", "description": "light rain", "min_temp": 2.32, "max_temp": 4.61}, {"main_weather": "Rain", "description": "light rain", "min_temp": 1.92, "max_temp": 8.74}], "Tokyo": [{"main_weather": "Rain", "description": "heavy intensity rain", "min_temp": 12.06, "max_temp": 15.33}, {"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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csv/display_settings.json
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["Professional", [["Daily Forecast", "News", "Stocks"], ["Crypto"]]]
["Professional", [["Crypto"], ["Forex"]]]

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csv/last_updates.json
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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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csv/stocks_settings.json
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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}}}
{"feature": "Stocks", "speed": "medium", "animation": "down", "percent": true, "point": true, "logos": false, "chart": false, "title": true, "symbols": {"MSFT": {"current": 342.875, "opening": 344.57}, "GOOG": {"current": 2956.35, "opening": 3006.525}}}

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display_images/Crypto Prof.ppm
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display_images/Crypto.ppm
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display_images/Daily Forecast.ppm
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display_images/Stocks Prof.ppm
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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'>
Traceback (most recent call last):
File "stockTicker.py", line 2480, in <module>
stock_ticker.process_msg(msg)
File "stockTicker.py", line 2439, in process_msg
self.scrollProfessionalAnimated(userSettings[1])
File "stockTicker.py", line 452, in scrollProfessionalAnimated
image1 = self.openImage('./display_images/' + top[i1 % len(top)] +' Prof.ppm')
File "stockTicker.py", line 87, in openImage
image = Image.open(image_file)
File "/usr/lib/python3/dist-packages/PIL/Image.py", line 2634, in open
fp = builtins.open(filename, "rb")
FileNotFoundError: [Errno 2] No such file or directory: './display_images/Daily Forecast Prof.ppm'

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server.py
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@ -23,7 +23,7 @@ import numpy as np
api_caller = pexpect.spawn("sudo -E python3 api_caller.py")
displaying_screensaver = False
screensaver_p = None
professional = False
professional = json.load(open('csv/display_settings.json', 'r'))[0] == "Professional"
command = 300
tickerList = 0
@ -145,6 +145,13 @@ def start():
data = str(request.data.decode('utf-8'))
input_settings = json.loads(data)
print(input_settings)
print(all_settings)
if professional:
input_settings[0] = [i for i in input_settings[0] if i in all_settings]
input_settings[1] = [i for i in input_settings[1] if i in all_settings]
print(input_settings)
s = "Professional" if professional else "Standard"
display_settings = [s] + [input_settings]