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From "Leo Simons (JIRA)" <gene...@gump.apache.org>
Subject [jira] Assigned: (GUMP-105) design a way to build against the last-successful-dependency-build
Date Thu, 07 Jul 2005 12:42:21 GMT
     [ http://issues.apache.org/jira/browse/GUMP-105?page=all ]

Leo Simons reassigned GUMP-105:
-------------------------------

    Assign To: Leo Simons

> design a way to build against the last-successful-dependency-build
> ------------------------------------------------------------------
>
>          Key: GUMP-105
>          URL: http://issues.apache.org/jira/browse/GUMP-105
>      Project: Gump
>         Type: Task
>   Components: Python-based Gump
>     Versions: Gump3-alpha-5
>     Reporter: Leo Simons
>     Assignee: Leo Simons
>      Fix For: Gump3-alpha-5

>
> The first algorithm to get right is GUMP-104, where we bail out of building at all if
a dependency dies. The next step to tackle is to build against the last version of the dependency
that /was/ built successfully.
> This requires gump to become time-aware beyond a single build run, saving off previous
successes into a repository and knowing about them. It requires a significant extension of
the model where, for example
> class BuildFailureRecoveryPlugin(AbstractPlugin):
>   visit_project(p):
>     if p.state <= FAILED:
>       successful_p = historyutil.lookup_last_successful_build(p)
>       modelutil.replace(p, succesful_p)
>       p.failed_project = p
>       p.state == RECOVERED
> stages are inserted to keep most of the plugins blissfully unaware of the intelligence
going on. If we get this right that'll be where the staged plugin model will really start
to shine, as the graph theory people can design smart new algorithms (As long as they're compatible
with the basic topsort we're doing in some way), and the build tool people can just, well,
build stuff.

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