[developers] Fw: ERG installation questions

[Dan Flickinger]

Developers and Neil,


I'm forwarding to our more active `developers' list a request below from Neil that I hope others of you can answer with more clarity than I have.  Neil, at the risk of presenting too many options, you might also look at this wiki page which outlines an alternative setup using the ACE parser and a suite of Python tools called PyDelphin:


http://moin.delph-in.net/QuickStart


Thanks for your interest!

 Dan


________________________________
From: Neil Stoker <neil at nmstoker.com>
Sent: Sunday, March 24, 2019 6:06 PM
To: lingo at delph-in.net
Subject: ERG installation questions

Hello,

I had a couple of questions about the installation of ERG and wondered if you could help?

I've been looking over the various pages detailing installation and background info (eg as per links below) as I'm hoping to install ERG on my main computer at home which runs Arch Linux and I wanted to check a couple of things first. I'm currently expecting to go for the compete install (ie option A)

http://moin.delph-in.net/ErgProcessing
http://moin.delph-in.net/LogonInstallation

1. Has there been any exploration of using Docker to simplify installation? It seems to me that a lot of the complexity could be isolated if there were a Docker script. I'm not a Docker expert but I might try to have a go with this approach, assuming I'm not reinventing the wheel here!

2. There is mention of 32- bit binaries, but it also says that's as of 2012. Given the trend toward 64-bit in the meantime, I wondered if that had now changed?

If not, is the source for those binaries available or is the point that they're only distributed pre-compiled (ie 32-bit)?

3. Is it strictly x86 or could this be made to work on ARM architectures? (guess that would depend on the response re the 32-bit point above).

4. Is there a way to expose the REST API from a local installation of ERG? I'm likely to want to run it on a large amount of data and didn't want to abuse the Oslo facilities, but using the API locally was appealing.

I hope that's not too much to ask at once! A big thank you in advance, as this looks like a great project and I think it will be really interesting for analysis I'm working on.

Kind regards,
Neil Stoker
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