Mercurial > repos > shellac > guppy_basecaller
view env/lib/python3.7/site-packages/boto/services/sonofmmm.cfg @ 3:758bc20232e8 draft
"planemo upload commit 2a0fe2cc28b09e101d37293e53e82f61762262ec"
author | shellac |
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date | Thu, 14 May 2020 16:20:52 -0400 |
parents | 26e78fe6e8c4 |
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# # Your AWS Credentials # You only need to supply these in this file if you are not using # the boto tools to start your service # #[Credentials] #aws_access_key_id = <AWS Access Key Here> #aws_secret_access_key = <AWS Secret Key Here> # # Fill out this section if you want emails from the service # when it starts and stops # #[Notification] #smtp_host = <your smtp host> #smtp_user = <your smtp username, if necessary> #smtp_pass = <your smtp password, if necessary> #smtp_from = <email address for From: field> #smtp_to = <email address for To: field> [Pyami] scripts = boto.services.sonofmmm.SonOfMMM [SonOfMMM] # id of the AMI to be launched ami_id = ami-dc799cb5 # number of times service will read an empty queue before exiting # a negative value will cause the service to run forever retry_count = 5 # seconds to wait after empty queue read before reading again loop_delay = 10 # average time it takes to process a transaction # controls invisibility timeout of messages processing_time = 60 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 output_mimetype = video/quicktime output_ext = .mov input_bucket = <S3 bucket where source videos live> output_bucket = <S3 bucket where converted videos should be stored> output_domain = <SimpleDB domain to store results - optional> output_queue = <SQS queue to store results - optional> input_queue = <SQS queue where work to be done will be queued up>