# Create new text file for storing the result of JSON objects

resultFile = open("result.txt", "w")

# Going through all sub-directories under the base directory

for root, dirs, files in os.walk(basedir):

files = glob.glob(os.path.join(root,'*'+ext))

for f in files:

# Open the HDF5 for reading the content

h5 = hdf5_getters.open_h5_file_read(f)

# Creating dictionary to convert to JSON object

dictionary = {}

# Storing all fields

dictionary["song_title"] = hdf5_getters.get_title(h5).decode('Latin-1')

dictionary["artist_name"] = hdf5_getters.get_artist_name(h5).decode('Latin-1')

dictionary["key"] = float(hdf5_getters.get_key(h5))

dictionary["minor-major"] = float(hdf5_getters.get_mode(h5))

dictionary["hotness"] = hdf5_getters.get_song_hotttnesss(h5)

dictionary["artist_location"] = hdf5_getters.get_artist_location(h5).decode('Latin-1')

dictionary["longitude"] = float(hdf5_getters.get_artist_longitude(h5))

dictionary["latitude"] = float(hdf5_getters.get_artist_latitude(h5))

print(dictionary)

# Write the created JSON object to the text file

resultFile.write(str(json.dumps(dictionary)) + "\n")

h5.close()