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1 #!/usr/bin/env python3
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2 # -*- coding: utf-8 -*-
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3 """
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4 Created on Wed Apr 18 19:31:02 2018
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5
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6 @author: mmxgn
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7 """
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8
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9 from selenium import webdriver
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10 import librosa
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11 import librosa.display
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12 import glob
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13 import time
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14 import os
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15 import matplotlib.pyplot as plt
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16 import pandas as pd
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17
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18 fxive_dict = {
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19 'stream' : ('http://localhost:8000/update/app/main-panel/stream.html?preset=Stream', '3'),
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20 'sonar' : ('http://localhost:8000/update/app/main-panel/beep.html?preset=Sonar', '10'),
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21 'motor' : ('http://localhost:8000/update/app/main-panel/dc-motor.html?preset=Small%20Boat', '15'),
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22 'stormy' : ('http://localhost:8000/update/app/main-panel/stormy-day.html?state=%7B%22RTSFXrain%22%3A%7B%220%22%3A%7B%22dropletGain%22%3A0.3%2C%22rumbleGain%22%3A0.3%2C%22ambienceGain%22%3A0.3%7D%7D%2C%22RTSFXmaster%22%3A%7B%221%22%3A%7B%22gain%22%3A1%2C%22panning%22%3A0.33000000000000007%7D%2C%223%22%3A%7B%22gain%22%3A1%2C%22panning%22%3A0.8900000000000001%7D%2C%225%22%3A%7B%22gain%22%3A1%2C%22panning%22%3A0%7D%2C%227%22%3A%7B%22gain%22%3A1%2C%22panning%22%3A0%7D%2C%2213%22%3A%7B%22gain%22%3A1%2C%22panning%22%3A0%7D%7D%2C%22RTSFXwind%22%3A%7B%222%22%3A%7B%22windSpeed%22%3A1%2C%22gustiness%22%3A0.8%2C%22squall%22%3A0.9%2C%22buildings%22%3A0.8%2C%22doorways%22%3A0.8%2C%22branches%22%3A0.8%2C%22leaves%22%3A0.8%2C%22pan%22%3A0%2C%22directionality%22%3A1%2C%22gain%22%3A1%7D%7D%2C%22RTSFXstream%22%3A%7B%224%22%3A%7B%22bubbles%22%3A350%2C%22frequency%22%3A1%2C%22qAmount%22%3A2%2C%22sink%22%3A0%7D%7D%2C%22RTSFXthunder%22%3A%7B%226%22%3A%7B%22pitch%22%3A25%2C%22duration%22%3A3000%2C%22distance%22%3A0%2C%22outGain%22%3A1%7D%7D%2C%22RTSFXoverdrive%22%3A%7B%228%22%3A%7B%22knee%22%3A0%2C%22bias%22%3A0%2C%22tone%22%3A1%2C%22drive%22%3A0%2C%22level%22%3A0%2C%22bypass%22%3A0%7D%7D%2C%22RTSFXdelay%22%3A%7B%229%22%3A%7B%22delay%22%3A0%2C%22dry%22%3A1%2C%22wet%22%3A1%2C%22level%22%3A1%2C%22feedback%22%3A-12.000000253286988%2C%22cutOff%22%3A350%2C%22bypass%22%3A0%7D%7D%2C%22RTSFXconvReverb%22%3A%7B%2210%22%3A%7B%22dry%22%3A1%2C%22wet%22%3A1%2C%22level%22%3A1%2C%22lowCut%22%3A20%2C%22highCut%22%3A20000%2C%22type%22%3A0%2C%22bypass%22%3A0%7D%7D%2C%22RTSFXeq%22%3A%7B%2211%22%3A%7B%22Band1Gain%22%3A0%2C%22Band1Frequency%22%3A150%2C%22Band1QFactor%22%3A1%2C%22Band2Gain%22%3A0%2C%22Band2Frequency%22%3A560%2C%22Band2QFactor%22%3A1%2C%22Band3Gain%22%3A0%2C%22Band3Frequency%22%3A1000%2C%22Band3QFactor%22%3A1%2C%22Band4Gain%22%3A0%2C%22Band4Frequency%22%3A3300%2C%22Band4QFactor%22%3A1%2C%22Band5Gain%22%3A0%2C%22Band5Frequency%22%3A8200%2C%22Band5QFactor%22%3A1%2C%22Band1FilterType%22%3A0%2C%22Band5FilterType%22%3A0%7D%7D%2C%22RTSFXspatialisation%22%3A%7B%2212%22%3A%7B%22positionX%22%3A0.5%2C%22positionY%22%3A0.5%2C%22positionZ%22%3A0%2C%22distanceX%22%3A100%2C%22distanceY%22%3A100%7D%7D%7D', '10'),
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23 'meadow': ('http://localhost:8000/update/app/main-panel/stream.html?preset=Stream', '3'),
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24
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25 }
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26
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27 class FXive:
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28 def __init__(self, sfx_path=None):
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29
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30 if sfx_path is not None:
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31 self.sfx_df = pd.read_excel(sfx_path)
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32 else:
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33 self.sfx_df = None
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34
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35 options = webdriver.ChromeOptions()
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36 options.binary_location = '/usr/bin/google-chrome-stable'
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37 options.add_argument('window-size=640x480')
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38 self.driver = webdriver.Chrome(chrome_options=options)
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39
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40 def get_sfx(self, str_):
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41
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42 if self.sfx_df is None:
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43 seconds = int(fxive_dict[str_][1])
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44 url = fxive_dict[str_][0] + '&rTime={}'.format(seconds)
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45 else:
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46 seconds = 5
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47 url = self.sfx_df['url'].loc[self.sfx_df['sfx'] == str_].iloc[0] + '&rTime={}'.format(seconds)
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48 print(url)
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49
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50
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51 self.driver.get(url)
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52 self.driver.implicitly_wait(10)
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53
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54 print("Rendering file, please wait {} seconds".format(seconds+3))
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55
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56 time.sleep(seconds+3)
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57 # https://stackoverflow.com/questions/24134495/python-get-most-recent-file-in-a-directory-with-certain-extension
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58 newest = max(glob.iglob(os.path.expanduser('~/Downloads/*.wav')), key=os.path.getctime)
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59
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60 return newest
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61
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62 def close(self):
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63 self.driver.close()
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64
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65
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66 #fxive1 = FXive()
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67 #arr, sr = fxive1.get_sfx('river',3 )
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68 #librosa.display.waveplot(arr,sr)
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69 #plt.show()
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