-
Notifications
You must be signed in to change notification settings - Fork 0
/
genius.py
196 lines (173 loc) · 6.4 KB
/
genius.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
import os
import lyricsgenius
from string import punctuation
from PIL import Image
import time
def my_converter(mini, maxi, val):
minimum, maximum = float(mini), float(maxi)
ratio = 2 * (val - minimum) / (maximum - minimum)
b = int(max(0, 255 * (1 - ratio)))
r = int(max(0, 255 * (ratio - 1)))
g = 255 - b - r
return r, g, b
def grayscale(min,max, value):
minimum, maximum = float(min), float(max)
dif = min-max
gradient = dif/255
dif_two = value-min
val = dif_two/gradient
return val
def get_images(artist_name,size):
base = os.getcwd()
path = os.getcwd()+"\\dump\\"+artist_name
os.chdir(path)
files = os.listdir()
list = []
for file in files:
if file[-4:]==".jpg":
list.append(file)
images_to_heatmap(list,size,artist_name)
os.chdir(base)
def images_to_heatmap(images,size,artist):
list = []
for i in range(size):
sublist = []
for j in range(size):
sublist.append(0)
list.append(sublist)
maximum = 0
minimum = 255
for file in images:
img = Image.open(file)
pixels = img.resize((size, size)).convert("1").load()
for i in range(img.size[0]-1):
for j in range(img.size[1]-1):
list[i][j] = list[i][j] + pixels[i,j]
if list[i][j] > maximum:
maximum = list[i][j]
print(maximum)
img.close()
for i in range(len(list)):
for j in range(len(list)):
if list[i][j]<minimum:
minimum = list[i][j]
img = Image.new('1', (size, size)) # create a new black image
pixels = img.load() # create the pixel map
for i in range(img.size[0]): # for every col:
for j in range(img.size[1]): # For every row
val = list[i][j]
print(val)
print(minimum)
print(maximum)
pixels[i, j] = my_converter(minimum, maximum, val)
outfile = '{0}\\megafile_of_all_songs_{1}.jpg'.format(os.getcwd(),str(artist))
directory = os.path.dirname(outfile)
if not os.path.exists(directory):
os.makedirs(directory)
img = img.resize((2000, 2000))
img.save(outfile)
def to_image(matrix,title,artist):
title = ''.join(c for c in title if c not in "*.”/\[]:;|=,?").replace('"','')
size = len(matrix)
if size<1:
None
img = Image.new('RGB', (size, size)) # create a new black image
pixels = img.load() # create the pixel map
for i in range(img.size[0]): # for every col:
for j in range(img.size[1]): # For every row
if matrix[i][j]==True:
pixels[i, j] = (0, 0, 0) # set the colour accordingly
else:
pixels[i, j] = (255, 255, 255)
outfile = os.getcwd()+ '\\dump\\{1}\\{0}_{1}.jpg'.format(str(title), str(artist))
directory = os.path.dirname(outfile)
if not os.path.exists(directory):
os.makedirs(directory)
img = img.resize((2000,2000)).convert("1")
img.save(outfile)
def strip_punctuation(s):
return ''.join(c for c in s if c not in punctuation.replace("'",""))
def process(list):
blank = []
for x in list:
blank = blank + x.split(" ")
blank_two = []
for x in blank:
if "-" in x:
blank_two = blank_two+ x.split("-")
else:
blank_two = blank_two + [x]
i =0
while(i<len(blank_two)):
if blank_two[i]=="":
blank_two.remove("")
else:
blank_two[i] = strip_punctuation(blank_two[i]).lower()
i = i+1
return blank_two
def search_for(artist, title, api):
search = api.search_song(title, artist,remove_section_headers=True)
try:
song = search.lyrics.splitlines()
lyrics = process(song)
matrix = []
for x in range(0, len(lyrics)):
sublist = []
matrix.append(sublist)
for y in range(0, len(lyrics)):
if lyrics[x] == lyrics[y]:
sublist.append(True)
else:
sublist.append(False)
return to_image(matrix, title, artist)
except AttributeError:
print("Your Query was not found in a search. Please start the program over.")
def all_songs_by_to_txt(artist, api):
print("fetching songs")
path = os.getcwd()+'\\dump\\{0}\\'.format(str(artist))
if not os.path.exists(path):
os.makedirs(path)
t0 = time.time()
songs = api.search_artist(artist).songs
t1 = time.time()
print("Average search time per song from artist search: "+str((t1-t0)/len(songs)))
file = open(path+str(artist)+".txt","w+")
for x in songs:
title_proper = ''.join([i if ord(i) < 128 else ' ' for i in x.title.strip('u\u200b')])
file.write(title_proper+"\n")
def from_txt(artist,api):
print("From txt")
text_file = open(os.getcwd() + "\\dump\\{0}\\{0}.txt".format(str(artist)), "r")
list = text_file.readlines()
t0 = time.time()
for x in list:
search_for(artist, x[:-1], api)
t1 = time.time()
print("Average time per song from text: "+str((t1-t0)/len(list)))
def main():
size = 2000
api = lyricsgenius.Genius('8b9e3NKxtASuUliLIygQ0RKDES7w4JIEu4wdxfHdrNLOdutTquJtnJSDif6MAU1E')
dir = os.getcwd()
prompt = input("Would you like to process all of an artist's songs, or just a particular one? enter 1 for all and 0 for a particular song: ")
if prompt=="0":
while (prompt != "n"):
artist = input("What artist would you like to search? ")
#if input("Would you like to make a heatmap? (y/n): ")=="y":
#get_images(artist, size)
title = input("What song title would you like to search? ")
search_for(artist,title,api)
prompt = input("Would you like to search again? (y/n): ")
elif prompt=="1":
while(prompt!="n"):
artist = input("What artist would you like to search? ")
path = dir + '\\dump\\{0}\\{0}.txt'.format(str(artist))
if not os.path.isfile(path):
all_songs_by_to_txt(artist,api)
if input("Load from file? (y/n): ")=="y":
from_txt(artist,api)
all_songs_by_to_txt(artist, api)
if input("Would you like to make a heatmap? (y/n): ")=="y":
get_images(artist, size)
prompt = input("Would you like to search again? (y/n): ")
if __name__ == '__main__':
main()