def init():
### INPUT
user_list = [
'spotify', 'spotifyusa', 'topsify', 'spotify_uk_', 'spotify_germany',
'spotify_espa%C3%B1a', 'spotify_france', 'kexp_official', 'hot97.1',
'chillhopmusic', 'bbc_playlister', 'npr_music', 'nme.com',
'mergerecordsofficial', 'subpoprecords', 'burgerrecords4life',
'warnerbros.records', 'matadorrecords'
]
#user_list = ['spotifycharts']
### INPUT
### date settings
time = datetime.now()
day = time.day
month = time.month
### date settings
for user in user_list:
### directory for the new date
global path
path = r'user_PL/' + user + '/' + str(month) + "_" + str(day) + "/"
if not os.path.exists(path):
os.makedirs(path)
### directory for the new date
access_token = access.get_token()
user_pl(user, access_token)
def image_classify(image_path):
# 二进制方式打开图片文件
f = open(image_path, 'rb')
img = base64.b64encode(f.read())
params = {"image": img}
params = urllib.urlencode(params)
access_token = access.get_token()
request_url = base_url + "?access_token=" + access_token
request = urllib2.Request(url=request_url, data=params)
request.add_header('Content-Type', 'application/x-www-form-urlencoded')
response = urllib2.urlopen(request)
content = response.read()
if content:
return content
else:
print("conten is empty or none.")
return content
def debugger():
access_token = access.get_token()
main_req_playlist('spotify_france', '37i9dQZF1DWU4xkXueiKGW', 'Fresh Rap',
access_token)
'danceability', 'energy', 'key', 'loudness', 'mode', 'speechiness',
'acousticness', 'instrumentalness', 'liveness', 'valence', 'tempo',
'duration_ms', 'time_signature', 'Song_ID'
]
print(dict_)
#features_df = pd.DataFrame.from_dict(dict_)
##change key = 'id' to 'Song_ID' + make it the first element
del dict_[0]['type']
del dict_[0]['uri']
del dict_[0]['analysis_url']
del dict_[0]['track_href']
song_id = dict_[0].get('id')
del dict_[0]['id']
d = dict_[0]
d['Song_ID'] = song_id
print(d)
df = pd.DataFrame.from_dict([d])
res = df
#print("... A POSTERIORI:")
#print(res)
return res
access_token = access.get_token()
init2()