gump.plugins.ModelDumper component for persisting the model on disk
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Key: GUMP-100
URL: http://issues.apache.org/jira/browse/GUMP-100
Project: Gump
Type: New Feature
Components: Python-based Gump
Versions: Gump3-alpha
Reporter: Leo Simons
Fix For: Gump3-beta
A plugin should be written that runs after all others that modify the model at
all. This plugin would visit_workspace and create a huge pickle dump (probably)
of the entire processed model and write that out to disk. So far, we've found
it very difficult to store exactly what we need in a database. By keeping
pickle dump files around, we are "sure" to be able to write tools later to
retroactively perform intelligent work on the data gump has generated.
Might be as simple as (code sketch):
def visit_workspace(w):
import pickle
date = w.startdate
filename = "pickledump_%s" % date
file = open(filename, 'w')
pickle.pickle(w,file)
but I have no idea what the API for all this stuff is.
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