lastfm_tags.py

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import os 
import sys
import pickle 

from xml.dom import minidom
import urllib2 #call url function
import time
import sqlite3
import cPickle

import pyechonest # import echonest API 
import pylast # import last.fm API
from pyechonest import artist, catalog, config, playlist # How it works instead of pyechonest


#change the path to 7-digital python library
sys.path.append("./7digital-python/lib/")
import py7digital

""" API Key from echonest """
#Your API Key: SFXNKMTRAZ3ULHK6U
#Your Consumer Key: 54a06c9bd235d47f787d8cf614577a94 
#Your Shared Secret: aiPUaTToTpixW4Ttaf4O9A

"""API key from 7 digital"""
# oauth_consumer_key=7dbpa63h3y3d
# oauth_consumer_secret=zz48d4epsqmrsuvp

"""API key from last.fm"""
# Your API Key is bd1cb09de31188b43aa46f39b8e40614
# Your secret is d2537b0ce8bc859a6068833c5e2a72a7

""""*********************************************************************************"""

# Echo Nest API key
config.ECHO_NEST_API_KEY="SFXNKMTRAZ3ULHK6U "

# 7 digital API key
DIGITAL7_API_KEY = '7dbpa63h3y3d'


"""The use of last.fm API"""
API_KEY = "bd1cb09de31188b43aa46f39b8e40614" 
API_SECRET = "d2537b0ce8bc859a6068833c5e2a72a7"

"""Authentication, username and password"""
username = "QMYading"
password_hash = pylast.md5("123456")
network = pylast.LastFMNetwork(api_key = API_KEY, api_secret = 
    API_SECRET, username = username, password_hash = password_hash)

# get artist object
# artist_object = network.get_artist("System of a Down")

# get the mbid for the tracks
# print(artist_object.get_mbid())

# print(os.getcwd())  #print current working directory
# artist_object.shout("Artist object created successful!")

# get track object 

track_object = network.get_track("Adele","Someone like you")

print track_object.get_tag()


"""
# track_object.add_tags(("awesome", "favorite")) # add tags to the tracks

#get get_album object 
#album_object = network.get_album("Adele","21")

# get tags object
#os.chdir('./Resuls/')
tag_classification = ["Happy"]


# search for similar tag according to the seeds in tag_classification
for tags_name in tag_classification:
 
    tags = network.search_for_tag(tags_name)
    print tags 
    tags_info = tags.get_next_page()  
    
    #print tags_info
    #print tags_search
    #tag_file_name =  tags_name + "_tags_results.txt"
        
    #tag_data = open(tag_file_name, 'wb') # open and write the file for top tags
    
    #os.makedirs(str(tags_name))
    #os.chdir('./' + str(tags_name) + '/')
        
"""