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Feature request: run pulsar daemon on separate machine #202

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lthibault opened this issue Jan 14, 2016 · 5 comments
Open

Feature request: run pulsar daemon on separate machine #202

lthibault opened this issue Jan 14, 2016 · 5 comments

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@lthibault
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I suspect that my current setup is fairly common: I have a raspberry pi running openelec that fetches media from a backend NFS server. Since the rpi has a few limitations (network adapter over USB, limited memory & CPU, etc...), it's useful to offload as much as possible onto the backend.

Applied to pulsar, the idea is as follows: split pulsar into two daemons, such that the running of plugins and downloading of streams can be handled by one computer, and the actual playback of the stream can be handled by another computer running Kodi.

Thoughts?

@corrpel
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corrpel commented Jan 14, 2016

+1 up very good idea. a service that works locally and over network it would be great; i would add trans-coding on the torrent machine too to optimize bw;

@lthibault
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@corrpel Ah, I haven't looked at the source yet, so I hadn't even realized that there was transcoding involved! Yes, that should absolutely be offloaded as well.

I'm having trouble finding the daemon code: could you please point me to the correct repository?

@corrpel
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corrpel commented Jan 19, 2016

Hei Ithibault,
I think i've expresed it wrong.
I would add transcoding if coding was one of my known languages. Let's hope someone who can code help on this feature request :)

@lthibault
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@corrpel Ah, I see! I know Go and Python fairly well, so if I could only find the daemon repository, I'd happily take a stab at it.

What are you trying to achieve with transcoding? This sounds like something best handled by a separate plugin.

@corrpel
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corrpel commented Jan 20, 2016

@lthibault here is the code for daemon
https://github.com/i96751414/pulsar
I would like transcoding in order to be able to provide the feature to a friend that have a bw of 300kb/s, allowing him to be able to play files over 1gb. well, even 800mb video is not working for him.
Thank you.

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