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@ -12,7 +12,7 @@ import numpy
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import matplotlib.pyplot
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import matplotlib.pyplot
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from tensorflow.keras.models import model_from_json
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from tensorflow.keras.models import model_from_json
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from tensorflow.keras import optimizers
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from tensorflow.keras import optimizers
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from tensorflow.keras_preprocessing.image import ImageDataGenerator
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from keras_preprocessing.image import ImageDataGenerator
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class Classifier(object):
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class Classifier(object):
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@ -4,8 +4,8 @@ import logging
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class Config:
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class Config:
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PIKA_URL = os.environ['PIKA_URL']
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PIKA_URL = os.environ.get('PIKA_URL')
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PIKA_OUTPUT_EXCHANGE = os.environ['PIKA_OUTPUT_EXCHANGE']
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PIKA_OUTPUT_EXCHANGE = os.environ.get('PIKA_OUTPUT_EXCHANGE')
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PIKA_INPUT_EXCHANGE = os.environ.get('PIKA_INPUT_EXCHANGE', 'sample-ready')
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PIKA_INPUT_EXCHANGE = os.environ.get('PIKA_INPUT_EXCHANGE', 'sample-ready')
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MODEL_INFO_URL = os.environ.get("MODEL_INFO_URL", "http://model-service/model/cnn/$default")
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MODEL_INFO_URL = os.environ.get("MODEL_INFO_URL", "http://model-service/model/cnn/$default")
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@ -17,6 +17,7 @@ import sentry_sdk
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from config import Config
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from config import Config
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from magic_doer import MagicDoer
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from magic_doer import MagicDoer
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from classifier_cache import ClassifierCache
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def message_callback(channel, method, properties, body):
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def message_callback(channel, method, properties, body):
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@ -58,15 +59,10 @@ def message_callback(channel, method, properties, body):
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def main():
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def main():
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# setup logging
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logging.basicConfig(
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stream=sys.stdout,
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format="%(asctime)s - %(name)s [%(levelname)s]: %(message)s",
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level=Config.LOG_LEVEL
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)
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# setup observability stuffs
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# setup observability stuffs
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if (not Config.PIKA_URL) or (not Config.PIKA_OUTPUT_EXCHANGE):
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logging.error("Mandatory config parameters unset: PIKA_URL or PIKA_OUTPUT_EXCHANGE")
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raise KeyError
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if Config.SENTRY_DSN:
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if Config.SENTRY_DSN:
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sentry_logging = LoggingIntegration(
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sentry_logging = LoggingIntegration(
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@ -112,5 +108,24 @@ def main():
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opentracing.tracer.close()
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opentracing.tracer.close()
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def test_loader():
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logging.info("Testing if model loading works...")
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cc = ClassifierCache(Config.MODEL_INFO_URL)
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details, classifier = cc.get_default_classifier()
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logging.info(f"Loaded classifier: {classifier}")
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logging.info(f"Details: {details}")
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if __name__ == '__main__':
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if __name__ == '__main__':
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# setup logging
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logging.basicConfig(
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stream=sys.stdout,
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format="%(asctime)s - %(name)s [%(levelname)s]: %(message)s",
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level=Config.LOG_LEVEL
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)
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if '--test-loader' in sys.argv:
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test_loader()
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else:
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main()
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main()
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@ -2,7 +2,7 @@ sentry_sdk
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pika
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pika
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requests
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requests
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h5py < 3.0.0
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librosa
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librosa
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keras
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keras
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numpy
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numpy
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