sleep(int(args[0]))
return args[1]
class DelayMiner(DataMiner):
""" Data miner that sleeps for args[0] seconds and then
stores args[1]
"""
def build(self, data):
sleep(data[0])
return data[1]
pipe = Pipeline()
pipe.addAcquirer(DelayAcquirer(), 'da')
pipe.addMiner(DelayMiner(), 'delay')
print "\n ########################## Using blocking versions in an external thread ##################\n"
t = Thread(target=pipe.acquireAndBuildCorpus,
args=('da', 'delay', 'delay', [1, [2, "lalala"]], 0))
t.start()
while (not pipe.rawData.has_key('da') or pipe.acquire['da'].checkStatus() > 0
) or (not pipe.corpus.has_key('delay')
or pipe.mine['delay'].checkStatus() > 0):
print "Waiting..."
sleep(0.5)
print "rawData['da']:", pipe.rawData['da']
faces = corpus[0]
resp = make_response(json.dumps(faces))
resp.headers['Access-Control-Allow-Origin'] = '*'
return resp
# Initial setup...
if __name__ == "__main__":
print ""
# add our various pipeline components here
pl.addAcquirer(
YoutubeAudioAcquirer(), 'ytaudio'
) # downloads a video from youtube (.webm), and converts it to wav for speech recognition
pl.addAcquirer(AlwaysFailAcquirer(),
'fail') # Sample acquirer that does nothing but fail
pl.addAcquirer(
YoutubeAutoVSSAcquirer(), 'ytautosub'
) # downloads an autogenerated VSS file from Youtube to temp folder
pl.addAcquirer(
YoutubeVideoAcquirer(), 'ytvid'
) # Downloads a video from youtube at the highest possible quality
pl.addMiner(FileToLineMiner(),
'fileline') # processes a file into a list of lines
pl.addMiner(
VSSChunkMiner(), 'vssminer'
) # processes a list of lines in VSS format into a list of SRTChunks
pl.addMiner(
