"""
This example bot will demonstrate two things:
- annotations that include no tags and only represent a segmentation
- a bot that does not use zounds to compute features
"""
import librosa
from bot_helper import main, SoundListener
from log import module_logger
import zounds
import requests
from io import BytesIO
import numpy as np
logger = module_logger(__file__)
class OnsetListener(SoundListener):
def __init__(self, client, s3_client, page_size=3, logger=None):
super().__init__(client, s3_client, page_size, logger)
def get_metadata(self):
return {}
def _process_sound(self, sound):
# fetch audio
resp = requests.get(sound['audio_url'])
raw_audio = BytesIO(resp.content)
# Convert to mono
samples = zounds.AudioSamples.from_file(raw_audio)
# -*- coding: utf-8 -*-
import os
import boto,psycopg2
from boto.s3.key import Key
import log,ctrl,util
logger = log.module_logger()
def s3conn():
conn = boto.connect_s3()
return conn
def get_bucket(conn,bucketname):
bucket = conn.get_bucket(bucketname)
return bucket
def set_contents(bucket,localfile):
key = Key(bucket,localfile.name)
res = key.set_contents_from_file(localfile)
return res
def get_contents(bucket,filename,localpath):
key = bucket.get_key(filename)
if key is None:
raise SystemError('{0} in s3 bucket {1} not found.'.format(filename,str(bucket)))
filepath = os.path.join(localpath,filename)
key.get_contents_to_filename(filepath)
return os.path.isfile(filepath)
def rdsconn(config):
