Commit f10801d7 authored by Jean-Paul Smets's avatar Jean-Paul Smets

Progressing towards the completion of divergence testers API. It is now...

Progressing towards the completion of divergence testers API. It is now understood that divergence testers provide comparison functions which can be used both as a way to test divergence and to match existing simulation movements with prevision movements generated by rules.

git-svn-id: https://svn.erp5.org/repos/public/erp5/trunk@29997 20353a03-c40f-0410-a6d1-a30d3c3de9de
parent 9537c8a1
# -*- coding: utf-8 -*-
##############################################################################
#
# Copyright (c) 2006 Nexedi SARL and Contributors. All Rights Reserved.
# Copyright (c) 2006-2009 Nexedi SA and Contributors. All Rights Reserved.
# Jean-Paul Smets-Solanes <jp@nexedi.com>
# Rafael Monnerat <rafael@nexedi.com>
#
# WARNING: This program as such is intended to be used by professional
......@@ -34,17 +35,119 @@ from zope.interface import Interface
class IDivergenceTester(Interface):
"""
ERP5 Divergence Tester
Divergence Tester interface specification
All divergence testers in ERP5 must implement IDivergenceTester.
IDivergenceTester provides methods to test simulation movements
divergence with related delivery movements. A list of
explanation messages can be generated if needed, and used
to help users understand why a given delivery line and its related
simulation movements are divergent.
IDivergenceTester also provides methods to match movements
each other, based on comparison and hash keys. Movement matching
is required by Rules to decide which simulation movements should
be updated, deleted, or compensated.
IDivergenceTester provides helper methods to copy or update properties
between movements, from simulation to deliveries or from deliveries to
simulation.
"""
def test(simulation_movement):
"""
This is the fast method to test, return 0 or 1.
It depends if the simulation_movement is divergent or not.
Tests if simulation_movement is divergent. Returnn False (0)
or True (1).
If decision_movement is a simulation movement, use
the recorded properties instead of the native ones.
simulation_movement -- a simulation movement
"""
def explain(simulation_movement):
"""
This method returns a list of messages that contains
the divergence of the Delivery Line.
Returns a list of messages which explain the nature of
the divergence of simulation_movement with its related
delivery movement.
If decision_movement is a simulation movement, use
the recorded properties instead of the native ones.
simulation_movement -- a simulation movement
"""
def generateHashKey(movement):
"""
Returns a hash key which can be used to optimise the
matching algorithm between movements. The purpose
of this hash key is to reduce the size of lists of
movements which need to be compared using the compare
method (quadratic complexity).
If decision_movement is a simulation movement, use
the recorded properties instead of the native ones.
"""
def compare(prevision_movement, decision_movement):
"""
Returns True if simulation_movement and delivery_movement
match. Returns False else. The method is asymetric and
the order of parameter matters. For example, a sourcing
rule may use a tester which makes sure that movements are
delivered no sooner than 2 weeks before production but
no later than the production date.
If decision_movement is a simulation movement, use
the recorded properties instead of the native ones.
prevision_movement -- a simulation movement (prevision)
decision_movement -- a delivery movement (decision)
"""
def update(prevision_movement, decision_movement):
"""
Updates decision_movement with properties from
prevision_movement so that next call to
compare returns True. This method is normally
invoked to copy properties from simulation movements
to delivery movements. It is also invoked to copy
properties from temp simulation movements of
Aggregated Amount Lists to pre-existing simulation
movements.
If decision_movement is a simulation movement, then
do not update recorded properties.
prevision_movement -- a simulation movement (prevision)
decision_movement -- a delivery movement (decision)
NOTE: recorded (forced) properties are not updated by
expand.
NOTE2: it is still unkown how to update properties from
a simulation movement to the relevant level of
delivery / line / cell.
"""
def accept(simulation_movement):
"""
Copies the properties handled by the divergence tester
from the related delivery movement to simulation_movement.
NOTE: the future existence of this method is still unknown
because it is likely to be implemented in TargetSolver
instead.
"""
def adopt(simulation_movement):
"""
Copies the properties handled by the divergence tester
from simulation_movement to the related delivery movement
NOTE: the future existence of this method is still unknown
because it is likely to be implemented in TargetSolver
instead.
"""
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