annotate env/lib/python3.7/site-packages/boto/services/sonofmmm.cfg @ 2:6af9afd405e9 draft

"planemo upload commit 0a63dd5f4d38a1f6944587f52a8cd79874177fc1"
author shellac
date Thu, 14 May 2020 14:56:58 -0400
parents 26e78fe6e8c4
children
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1 #
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2 # Your AWS Credentials
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3 # You only need to supply these in this file if you are not using
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4 # the boto tools to start your service
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5 #
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6 #[Credentials]
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7 #aws_access_key_id = <AWS Access Key Here>
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8 #aws_secret_access_key = <AWS Secret Key Here>
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10 #
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11 # Fill out this section if you want emails from the service
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12 # when it starts and stops
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13 #
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14 #[Notification]
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15 #smtp_host = <your smtp host>
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16 #smtp_user = <your smtp username, if necessary>
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17 #smtp_pass = <your smtp password, if necessary>
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18 #smtp_from = <email address for From: field>
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19 #smtp_to = <email address for To: field>
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21 [Pyami]
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22 scripts = boto.services.sonofmmm.SonOfMMM
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24 [SonOfMMM]
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25 # id of the AMI to be launched
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26 ami_id = ami-dc799cb5
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27 # number of times service will read an empty queue before exiting
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28 # a negative value will cause the service to run forever
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29 retry_count = 5
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30 # seconds to wait after empty queue read before reading again
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31 loop_delay = 10
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32 # average time it takes to process a transaction
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33 # controls invisibility timeout of messages
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34 processing_time = 60
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35 ffmpeg_args = -y -i %%s -f mov -r 29.97 -b 1200kb -mbd 2 -flags +4mv+trell -aic 2 -cmp 2 -subcmp 2 -ar 48000 -ab 19200 -s 320x240 -vcodec mpeg4 -acodec libfaac %%s
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36 output_mimetype = video/quicktime
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37 output_ext = .mov
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38 input_bucket = <S3 bucket where source videos live>
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39 output_bucket = <S3 bucket where converted videos should be stored>
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40 output_domain = <SimpleDB domain to store results - optional>
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41 output_queue = <SQS queue to store results - optional>
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42 input_queue = <SQS queue where work to be done will be queued up>
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