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| Original file line number | Diff line number | Diff line change |
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| # edulyze | ||
| # Edulyze | ||
| A analytics system that combines data from various classroom sensing systems to generate analytical insights for relevant pedagogical questions and presents a unified schema to structure processed classroom data. | ||
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| Coming soon... |
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| """ | ||
| Author: Anonymized | ||
| Created: Anonymized | ||
| This file contains wrapper function to run end to end analysis on audio data | ||
| """ | ||
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| # Import python library functions | ||
| import logging | ||
| from datetime import datetime | ||
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| # Import project level functions and classes | ||
| from configs.constants import exitStatus | ||
| from utils.time_utils import time_diff | ||
| from analytics.audio.silence_detection import run_silence_detection_module | ||
| from analytics.audio.object_noise_detection import run_object_noise_detection_module | ||
| from analytics.audio.teacher_speech_detection import run_teacher_speaking_module | ||
| from analytics.audio.single_speaker_detection import run_single_speaker_module | ||
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| def audio_analysis_wrapper(session_input_object, session_output_object, logger_pass): | ||
| """ | ||
| This is main wrapper function to run all audio modules | ||
| Parameters: | ||
| session_input_object(dict) : Dictionary containing all required inputs for session analytics | ||
| session_output_object(dict) : Dictionary to collect all outputs for session analytics | ||
| logger_pass(logger) : The parent logger from which to derive the logger for this function | ||
| Returns: | ||
| session_output_object(dict) : Dictionary to collect all outputs for session analytics | ||
| """ | ||
| # Initialize the logger | ||
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| logger_pass = dict(logger_pass) | ||
| logger_base = logger_pass.get('logger_base').getChild('audio_analysis') | ||
| logger = logging.LoggerAdapter(logger_base, logger_pass.get('logging_dict')) | ||
| logger_pass['logger_base'] = logger_base | ||
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| t_audio_analysis_start = datetime.now() | ||
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| # Initialize audio module | ||
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| session_output_object['audio'] = { | ||
| 'second': dict(), | ||
| 'block': dict(), | ||
| 'session': dict(), | ||
| 'debug': dict() | ||
| } | ||
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| # Run silence detection modules at second, block and session level | ||
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| silence_detection_info, run_status = run_silence_detection_module(session_input_object, session_output_object, | ||
| logger_pass) | ||
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| if not (run_status == exitStatus.SUCCESS): | ||
| logger.warning("Silence module did not execute successfully") | ||
| else: | ||
| session_output_object['audio']['second'].update(silence_detection_info['second']) | ||
| session_output_object['audio']['block'].update(silence_detection_info['block']) | ||
| session_output_object['audio']['session'].update(silence_detection_info['session']) | ||
| session_output_object['audio']['debug'].update(silence_detection_info['debug']) | ||
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| # Run object noise detection module at second, block and session level | ||
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| object_noise_detection_info, run_status = run_object_noise_detection_module(session_input_object, | ||
| session_output_object, logger_pass) | ||
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| if not (run_status == exitStatus.SUCCESS): | ||
| logger.warning("Object noise detection module did not execute successfully") | ||
| else: | ||
| session_output_object['audio']['second'].update(object_noise_detection_info['second']) | ||
| session_output_object['audio']['block'].update(object_noise_detection_info['block']) | ||
| session_output_object['audio']['session'].update(object_noise_detection_info['session']) | ||
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| # Run teacher speech detection module at second, block and session level | ||
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| teacher_speech_detection_info, run_status = run_teacher_speaking_module(session_input_object, session_output_object, | ||
| logger_pass) | ||
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| if not (run_status == exitStatus.SUCCESS): | ||
| logger.warning("Teacher speech detection module did not execute successfully") | ||
| else: | ||
| session_output_object['audio']['second'].update(teacher_speech_detection_info['second']) | ||
| session_output_object['audio']['block'].update(teacher_speech_detection_info['block']) | ||
| session_output_object['audio']['session'].update(teacher_speech_detection_info['session']) | ||
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| # Run single speaker detection module at second, block and session level | ||
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| single_speaker_detection_info, run_status = run_single_speaker_module(session_input_object, session_output_object, | ||
| logger_pass) | ||
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| if not (run_status == exitStatus.SUCCESS): | ||
| logger.warning("Single Speaker detection module did not execute successfully") | ||
| else: | ||
| session_output_object['audio']['second'].update(single_speaker_detection_info['second']) | ||
| session_output_object['audio']['block'].update(single_speaker_detection_info['block']) | ||
| session_output_object['audio']['session'].update(single_speaker_detection_info['session']) | ||
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| t_audio_analysis_end = datetime.now() | ||
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| logger.info("Audio Analysis took | %.3f secs.", | ||
| time_diff(t_audio_analysis_start, t_audio_analysis_end)) | ||
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| return session_output_object |
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