38 lines
1.7 KiB
Python
38 lines
1.7 KiB
Python
import logging
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import multiprocessing
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from metadata_analyzer import MetadataAnalyzer
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from filemover_analyzer import FileMoverAnalyzer
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class AnalyzerPipeline:
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# Take message dictionary and perform the necessary analysis.
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@staticmethod
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def run_analysis(queue, audio_file_path, import_directory, original_filename):
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if not isinstance(queue, multiprocessing.queues.Queue):
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raise TypeError("queue must be a multiprocessing.Queue()")
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if not isinstance(audio_file_path, unicode):
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raise TypeError("audio_file_path must be unicode. Was of type " + type(audio_file_path).__name__ + " instead.")
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if not isinstance(import_directory, unicode):
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raise TypeError("import_directory must be unicode. Was of type " + type(import_directory).__name__ + " instead.")
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if not isinstance(original_filename, unicode):
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raise TypeError("original_filename must be unicode. Was of type " + type(original_filename).__name__ + " instead.")
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#print ReplayGainAnalyzer.analyze("foo.mp3")
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# Analyze the audio file we were told to analyze:
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# First, we extract the ID3 tags and other metadata:
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metadata = dict()
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metadata = MetadataAnalyzer.analyze(audio_file_path, metadata)
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metadata = FileMoverAnalyzer.move(audio_file_path, import_directory, original_filename, metadata)
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metadata["import_status"] = 0 # imported
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# Note that the queue we're putting the results into is our interprocess communication
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# back to the main process.
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#Pass all the file metadata back to the main analyzer process, which then passes
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#it back to the Airtime web application.
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queue.put(metadata)
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