def main(project_name=None):
if not project_name:
project_name = get_project_name()
calibrate.main(project_name=project_name)
quantify.main(project_name=project_name)
normalize.main(project_name=project_name)
print('\a')
return 0
def process_feed(args):
try:
# Attempt to enrich the URL.
res = enrich_url(args)
# Check for any error code.
if not (res.status_code >= 200 and res.status_code < 300):
log.error('Error enriching {}'.format(args[0]))
log.error(res.json())
log.error('Failed on HTTP code {}: {}'.format(res.status_code, args[1]))
return 'error'
# Normalize the document to set correct field types.
res = normalize.main(res.json())
# Add the label field.
res['label'] = args[7]
# Write to file.
write(res, args[2])
# Insert to elasticsearch.
#_ = es.insert(args[5], args[3], args[4], res, args[2])
# Add to dedup database.
sql.insert(args[6], today(), args[0])
return res
except:
return False
def get(self):
device_id = self.get_argument('device_id')
wave, label, wave_id = fetch(device_id)
print('wave', wave)
main()
y, _ = librosa.load('normalized-temp.wav', sr=config.samplerate)
frames = frame(y)
result, output = self.runner.predict_ctc(y)
self.write({
'result': result,
'label': label,
'time': time.strftime('%Y-%m-%d %A %X %Z',
time.localtime(time.time())),
'wave_id': wave_id,
'output': output
})
import scrapper_jsonld
import merge_data
import normalize
if __name__ == "__main__":
print('Scrapping iniciado')
scrapper_jsonld.main()
print('Scrapping finalizado')
print('Normalizacion iniciada')
normalize.main()
print('Normalizacion finalizada')
print('Merge iniciado')
merge_data.main()
print('Merge finalizado')