# Importing required libraries

import audioop

import pandas as pd

import boto3

import json

import wave

# Putting in for general knowledge

# 0 dB: human hearing threshold

# 20 dB: rustling leaves

# 40 dB: quiet library

# 60 dB: normal conversation

# 80 dB: screaming baby

# 100 dB: chain saw

# 120 dB: live rock concert

# 140 dB: jet engine

# decibel = 20 * log10(rms)

# Definind required variables

input_bucket = '********'

AWS_ACCESS_KEY_ID = '********'

AWS_SECRET_ACCESS_KEY = '********'

# Establishing connection with s3

s3 = boto3.resource('s3', aws_access_key_id=AWS_ACCESS_KEY_ID, aws_secret_access_key=AWS_SECRET_ACCESS_KEY, region_name='ap-south-1')

bucket = s3.Bucket(input_bucket)

# Downloading an audio file from s3 to local system

bucket.download_file('****{wave file URL ob s3}****.wav',

r'../path_for_local_system/recording.wav')

with open(r'../../decibel_values.csv', 'a') as f:

f.write('recording_name', 'sample_width', 'n_frames', 'avg', 'rms', 'avgpp', 'zero_crossings', 'maxpp', 'min_max')

f.write(str(a, wav.getsampwidth(),

wav.getnframes(),

audioop.avg(string_wav, wav.getsampwidth()),

audioop.rms(string_wav, wav.getsampwidth()),

audioop.avgpp(string_wav, wav.getsampwidth()),

audioop.cross(string_wav, wav.getsampwidth()),

audioop.maxpp(string_wav, wav.getsampwidth()),

audioop.minmax(string_wav, wav.getsampwidth()))

)

wav = wave.open(r'../../recordings.wav')

string_wav = wav.readframes(wav.getnframes())

print('getsampwidth', wav.getsampwidth())

print('get n frmaes', wav.getnframes())

print('avg: ', audioop.avg(string_wav, wav.getsampwidth()))

print('rms: ', audioop.rms(string_wav, wav.getsampwidth()))

print('avgpp: ', audioop.avgpp(string_wav, wav.getsampwidth()))

print('zero_crossings: ', audioop.cross(string_wav, wav.getsampwidth()))

print('maxpp: ', audioop.maxpp(string_wav, wav.getsampwidth()))

print('max min: ', audioop.minmax(string_wav, wav.getsampwidth()))