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extractor_service/extraction.py
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55
extractor_service/extraction.py
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#!/usr/bin/env python3
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import json
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from json import JSONEncoder
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import numpy
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import os
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import os.path
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import logging
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import requests
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from pyAudioAnalysis import audioBasicIO
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from pyAudioAnalysis import ShortTermFeatures
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class NumpyArrayEncoder(JSONEncoder):
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def default(self, obj):
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if isinstance(obj, numpy.ndarray):
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return obj.tolist()
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return JSONEncoder.default(self, obj)
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def do_extraction(file_path: str):
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logging.info("Running extraction...")
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[Fs, x] = audioBasicIO.read_audio_file(file_path)
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F, f_names = ShortTermFeatures.feature_extraction(x, Fs, 0.050 * Fs, 0.025 * Fs)
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return {"F": F, "f_names": f_names}
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def run_everything(parameters: dict):
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tag = parameters['tag']
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logging.info(f"Downloading sample: {tag}")
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file_path = os.path.join("/tmp/extractor-service/", f"{tag}.wav")
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r = requests.get(f"http://storage-service/object/{tag}")
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with open(file_path, 'wb') as f:
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f.write(r.content)
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# download done. Do extraction magic
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try:
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results = do_extraction(file_path)
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finally:
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os.remove(file_path)
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logging.info(f"Pushing results to AI service...")
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response = {
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"tag": tag,
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"results": results
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}
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logging.debug(f"Data being pushed: {str(response)}")
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# r = requests.post('http://ai-service/asd', data=json.dumps(results, cls=NumpyArrayEncoder), headers={'Content-Type': 'application/json'})
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# r.raise_for_status()
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@ -3,16 +3,20 @@ import logging
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import os
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import sys
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import pika
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import json
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from extraction import run_everything
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def message_callback(ch, method, properties, body):
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pass
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run_everything(json.loads(body.decode('utf-8')))
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def main():
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logging.basicConfig(filename="", format="%(asctime)s - %(name)s [%(levelname)s]: %(message)s",
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level=logging.DEBUG if '--debug' in sys.argv else logging.INFO)
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logging.info("Connecting to MQ service...")
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connection = pika.BlockingConnection(pika.connection.URLParameters(os.environ['PIKA_URL']))
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channel = connection.channel()
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channel.exchange_declare(exchange='wave-extract', exchange_type='fanout')
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@ -23,9 +27,11 @@ def main():
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channel.queue_bind(exchange='wave-extract', queue=queue_name)
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channel.basic_consume(queue=queue_name, on_message_callback=message_callback, auto_ack=True)
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logging.info("Connection complete! Listening to messages...")
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try:
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channel.start_consuming()
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except KeyboardInterrupt:
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logging.info("SIGINT Received! Stopping stuff...")
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channel.stop_consuming()
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@ -1,3 +1,5 @@
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sentry_sdk
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pika
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requests
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requests
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pyAudioAnalysis
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numpy
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