def test_utterance_nosilence(graph_db, textgrid_test_dir):
from polyglotdb.io.textgrid import inspect_discourse_textgrid, load_discourse_textgrid
tg_path = os.path.join(textgrid_test_dir, 'phone_word_no_silence.TextGrid')
with CorpusContext('word_phone_nosilence', **graph_db) as g:
g.reset()
annotation_types = inspect_discourse_textgrid(tg_path)
load_discourse_textgrid(g, tg_path, annotation_types)
g.encode_utterances()
q = g.query_graph(g.word).filter(g.word.label == 'b')
q = q.columns(g.word.following.label.column_name('following_word'))
print(q.cypher())
results = q.all()
assert(len(results) == 1)
assert(results[0].following_word is None)
q = g.query_graph(g.phone).filter(g.phone.label == 'b')
q = q.filter(g.phone.following.label == 'b')
q = q.columns(g.word.following.label.column_name('following_word'))
print(q.cypher())
results = q.all()
assert(len(results) == 1)
assert(results[0].following_word is None)
def acoustic_config(graph_db, textgrid_test_dir):
config = CorpusConfig('acoustic', **graph_db)
acoustic_path = os.path.join(textgrid_test_dir, 'acoustic_corpus.TextGrid')
with CorpusContext(config) as c:
c.reset()
annotation_types = inspect_discourse_textgrid(acoustic_path)
load_discourse_textgrid(c, acoustic_path, annotation_types)
c.analyze_acoustics()
return config
graph_db = {'host':'localhost', 'port': 7474,
'user': '******', 'password': '******'}
def call_back(*args):
args = [x for x in args if isinstance(x, str)]
if args:
print(' '.join(args))
reset = True
if reset:
print("Getting annotation types..")
annotation_types = tio.inspect_discourse_textgrid(path_to_gp)
print('Loading corpus...')
with CorpusContext('gp_bulgarian', **graph_db) as g:
g.reset()
beg = time.time()
tio.load_directory_textgrid(g, path_to_gp, annotation_types, call_back = print)
end = time.time()
print('Time taken: {}'.format(end - beg))
if __name__ == '__main__':
with CorpusContext('gp_bulgarian', **graph_db) as g:
q = g.query_graph(g.phones).filter(g.phones.label == 'd')
print(q.cypher())
print(q.count())