def get_symbtr_data(txt_file, mu2_file):
extractor = DataExtractor()
txt_data = extractor.extract(txt_file)[0]
mu2_header = Mu2Reader.read_header(mu2_file)[0]
return extractor.merge(txt_data, mu2_header, verbose=False)
def sectionextractor(self):
extractor = DataExtractor(extract_all_labels=True,
print_warnings=False)
data, is_data_valid = extractor.extract(self.txtpath,
symbtr_name=self.symbtrname)
mu2_header, header_row, is_header_valid = \
Mu2Reader.read_header(self.mu2path, symbtr_name=self.symbtrname)
# data = extractor.merge(txtdata, Mu2header)
for item in data['sections']:
self.sectionsextracted[item['start_note']] = item['name']
mu2title = mu2_header['title']['mu2_title']
if mu2title is None:
mu2title = (mu2_header['makam']['mu2_name'] +
mu2_header['usul']['mu2_name'])
mu2composer = mu2_header['composer']['mu2_name']
mu2lyricist = mu2_header['lyricist']['mu2_name']
mu2beatnumber = mu2_header['usul']['number_of_pulses']
mu2beattype = mu2_header['usul']['mertebe']
return (mu2_header, mu2composer, mu2lyricist, mu2beatnumber,
mu2beattype, mu2title)
def get_symbtr_data(txt_file, mu2_file):
extractor = DataExtractor()
txt_data = extractor.extract(txt_file)[0]
mu2_header = Mu2Reader.read_header(mu2_file)[0]
return extractor.merge(txt_data, mu2_header, verbose=False)
def test_txt_data():
extractor = DataExtractor(print_warnings=False)
[txtfilepaths, txtfolders, txtnames] = get_txt_filenames()
is_all_txt_data_valid = True
for tf, tn in zip(txtfilepaths, txtnames):
try:
txtdata, is_txt_data_valid = extractor.extract(tf)
is_all_txt_data_valid = is_txt_data_valid \
if is_all_txt_data_valid else False
except (RuntimeError, ValueError, KeyError, TypeError):
print "Unspecified error in " + tn
is_all_txt_data_valid = False
assert is_all_txt_data_valid
def test_with_full_input():
"""
Tests the result with complete information available, i.e. mbid, phrase
annotation and user provided segmentation
"""
# inputs
scorename = 'kurdilihicazkar--sarki--agiraksak--ehl-i_askin--tatyos_efendi'
txt_filename = os.path.join(_curr_folder, 'data', scorename + '.txt')
mbid = 'b43fd61e-522c-4af4-821d-db85722bf48c'
auto_seg_file = os.path.join(_curr_folder, 'data', scorename + '.autoSeg')
auto_seg_bounds = json.load(open(auto_seg_file, 'r'))['boundary_noteIdx']
mu2_filename = os.path.join(_curr_folder, 'data', scorename + '.mu2')
# initialize the extractor
extractor = DataExtractor(extract_all_labels=False,
melody_sim_thres=0.75,
lyrics_sim_thres=0.75,
save_structure_sim=True,
get_recording_rels=False,
print_warnings=True)
# extract txt_data
txt_data, is_data_valid = extractor.extract(
txt_filename,
symbtr_name=scorename,
mbid=mbid,
segment_note_bound_idx=auto_seg_bounds)
# extract mu2 header metadata
mu2_header, header_row, is_header_valid = Mu2Reader.read_header(
mu2_filename, symbtr_name=scorename)
# merge
data = DataExtractor.merge(txt_data, mu2_header)
is_valid = is_data_valid and is_header_valid
# compare with a previously saved result
score_data_file = os.path.join(_curr_folder, 'data', scorename + '.json')
saved_data = json.load(open(score_data_file))
assert saved_data == data, u"{0:s}: the result is different".format(
scorename)
assert is_valid, "The data is not valid (or the validations failed.)"
def test_with_full_input():
"""
Tests the result with complete information available, i.e. mbid, phrase
annotation and user provided segmentation
"""
# inputs
scorename = 'kurdilihicazkar--sarki--agiraksak--ehl-i_askin--tatyos_efendi'
txt_filename = os.path.join(_curr_folder, 'data', scorename + '.txt')
mbid = 'b43fd61e-522c-4af4-821d-db85722bf48c'
auto_seg_file = os.path.join(_curr_folder, 'data', scorename + '.autoSeg')
auto_seg_bounds = json.load(open(auto_seg_file, 'r'))['boundary_noteIdx']
mu2_filename = os.path.join(_curr_folder, 'data', scorename + '.mu2')
# initialize the extractor
extractor = DataExtractor(
extract_all_labels=False, melody_sim_thres=0.75, lyrics_sim_thres=0.75,
save_structure_sim=True, get_recording_rels=False, print_warnings=True)
# extract txt_data
txt_data, is_data_valid = extractor.extract(
txt_filename, symbtr_name=scorename, mbid=mbid,
segment_note_bound_idx=auto_seg_bounds)
# extract mu2 header metadata
mu2_header, header_row, is_header_valid = Mu2Reader.read_header(
mu2_filename, symbtr_name=scorename)
# merge
data = DataExtractor.merge(txt_data, mu2_header)
is_valid = is_data_valid and is_header_valid
# compare with a previously saved result
score_data_file = os.path.join(_curr_folder, 'data', scorename + '.json')
saved_data = json.load(open(score_data_file))
assert saved_data == data, u"{0:s}: the result is different".format(
scorename)
assert is_valid, "The data is not valid (or the validations failed.)"
def _basic_txt_extractor(score_name, use_name=True):
txt_filename = os.path.join(_curr_folder, 'data', score_name + '.txt')
symbtr_name = score_name if use_name is True else None
# initialize the extractor
extractor = DataExtractor(
extract_all_labels=False, melody_sim_thres=0.7, lyrics_sim_thres=0.7,
save_structure_sim=True, get_recording_rels=False, print_warnings=True)
# extract txt_data
txt_data, is_data_valid = extractor.extract(txt_filename,
symbtr_name=symbtr_name)
# compare with a previously saved result
score_data_file = os.path.join(_curr_folder, 'data', score_name + '.json')
saved_data = json.load(open(score_data_file))
assert saved_data == txt_data, u"{0:s}: the result is different".format(
score_name)
assert is_data_valid, "The data is not valid (or the validations failed.)"
def _basic_txt_extractor(score_name, use_name=True):
txt_filename = os.path.join(_curr_folder, 'data', score_name + '.txt')
symbtr_name = score_name if use_name is True else None
# initialize the extractor
extractor = DataExtractor(extract_all_labels=False,
melody_sim_thres=0.7,
lyrics_sim_thres=0.7,
save_structure_sim=True,
get_recording_rels=False,
print_warnings=True)
# extract txt_data
txt_data, is_data_valid = extractor.extract(txt_filename,
symbtr_name=symbtr_name)
# compare with a previously saved result
score_data_file = os.path.join(_curr_folder, 'data', score_name + '.json')
saved_data = json.load(open(score_data_file))
assert saved_data == txt_data, u"{0:s}: the result is different".format(
score_name)
assert is_data_valid, "The data is not valid (or the validations failed.)"
