Open Stack

On Jul 9, 2014, at 7:07 PM, Richard Jones <r1chardj0n3s at gmail.com> wrote:

> On 10 July 2014 02:19, Ben Nemec <openstack at nemebean.com> wrote:
> On 07/08/2014 11:05 PM, Joe Gordon wrote:
> > On Tue, Jul 8, 2014 at 8:54 PM, James Polley <jp at jamezpolley.com> wrote:
> >
> >> It may not have been clear from the below email, but clarkb clarifies on
> >> https://bugs.launchpad.net/openstack-ci/+bug/1294381 that the infra team
> >> is no longer maintaining pypi-mirror
> >>
> >> This has been a very useful tool for tripleo. It's much simpler for new
> >> developers to set up and use than a full bandersnatch mirror (and requires
> >> less disk space), and it can create a local cache of wheels which saves
> >> build time.
> >>
> >> But it's now unsupported.
> >>
> >> To me it seems like we have two options:
> >>
> >> A) Deprecate usage of pypi-mirror; update docs to instruct new devs in
> >> setting up a local bandersnatch mirror instead
> >> or
> >> B) Take on care-and-feeding of the tool.
> >> or, I guess,
> >> C) Continue to recommend people use an unsupported unmaintained
> >> known-buggy tool (it works reasonably well for us today, but it's going to
> >> work less and less well as time goes by)
> >>
> >> Are there other options I haven't thought of?
> >>
> >
> > I don't know if this fits your requirements but I use
> > http://doc.devpi.net/latest/quickstart-pypimirror.html for my development
> > needs.
> 
> Will that also cache wheels?  In my experience, wheels are one of the
> big time savers in tripleo so I would consider it an important feature
> to maintain, however we decide to proceed.
> 
> Yes, devpi caches wheels.
> 
> I would suggest that if the pip cache approach isn't appropriate then devpi probably a good solution (though I don't know your full requirements).
> 
> The big difference between using devpi and pip caching would be that devpi will allow you to install packages when you're offline.
> 
> 
>        Richard
>  
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It doesn’t generate Wheels though, it’ll only cache them if they exist on
PyPI already.

-----------------
Donald Stufft
PGP: 0x6E3CBCE93372DCFA // 7C6B 7C5D 5E2B 6356 A926 F04F 6E3C BCE9 3372 DCFA

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