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shellutil.py
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from asrann.models import Record, Dataset, ActiveDataset
import tarfile
import csv
from django.utils import timezone
import os
from dotenv import load_dotenv
from tqdm import tqdm
load_dotenv()
_tar_map = {}
def load_all_datasets():
actives = ActiveDataset.objects.all()
for active_ds in actives:
dataset_name = active_ds.dataset.name
print('loading dataset', dataset_name)
_load_metadata(dataset_name)
def _load_tar_mem(dataset_name):
dset = Dataset.objects.get(name=dataset_name)
path = os.path.join(os.getenv('MEDIA_FOLDER'), dset.data_folder, "data")
for i in tqdm(range(1, len([x for x in os.listdir(path) if x.endswith('.tar')])+1)):
tar_file_name = "unvalidated_" + "{:03d}".format(i) + ".tar"
tar_file_path = os.path.join( path, tar_file_name)
tar = tarfile.open(tar_file_path)
audios = tar.getmembers()
print('tar_file: ', i)
for audio in audios:
audio_file_name = audio.name
_tar_map[audio_file_name] = i
def _load_metadata(dataset_name):
_load_tar_mem(dataset_name)
print('tar content files:', len(_tar_map.keys()))
asrd = Dataset.objects.get(name=dataset_name)
file = os.path.join(os.getenv('MEDIA_FOLDER'), asrd.data_folder, "unvalidated.csv")
with open(file, encoding="utf-8") as csvfile:
metadata = csv.reader(csvfile, delimiter='\t')
now = timezone.now()
delta = 0
for i, row in enumerate(metadata):
if _tar_map.get(row[1], None) == None:
continue
if i != 0:
rec = Record(
audio_file=row[1],
transcription=row[2],
dataset=asrd,
add_date=now + timezone.timedelta(seconds=delta),
tar_file=_tar_map[row[1]])
rec.save()
#print(row)
#if i == 30000:
#break
if i % 20000 == 0:
print('done: ', i/20000, '>>20k', sep='')
delta += 1