FloatDivergenceTester.py 10.7 KB
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# -*- coding: utf-8 -*-
##############################################################################
#
# Copyright (c) 2008-2009 Nexedi SA and Contributors. All Rights Reserved.
#                    Rafael Monnerat <rafael@nexedi.com>
#                    Jean-Paul Smets <jp@nexedi.com>
#
# WARNING: This program as such is intended to be used by professional
# programmers who take the whole responsibility of assessing all potential
# consequences resulting from its eventual inadequacies and bugs
# End users who are looking for a ready-to-use solution with commercial
# guarantees and support are strongly adviced to contract a Free Software
# Service Company
#
# This program is Free Software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
#
##############################################################################

import zope.interface
from AccessControl import ClassSecurityInfo

from Products.ERP5.Document.Predicate import Predicate
from Products.ERP5Type.DivergenceMessage import DivergenceMessage
from Products.ERP5Type import Permissions, PropertySheet, interfaces

class FloatDivergenceTester(Predicate):
  """
  The purpose of this divergence tester is to check the
  consistency between delivery movement and simulation movement
  for some specific properties.
  """
  meta_type = 'ERP5 Float Divergence Tester'
  portal_type = 'Float Divergence Tester'
  add_permission = Permissions.AddPortalContent

  # Declarative security
  security = ClassSecurityInfo()
  security.declareObjectProtected(Permissions.AccessContentsInformation)

  # Declarative properties
  property_sheets = (   PropertySheet.Base
                      , PropertySheet.XMLObject
                      , PropertySheet.CategoryCore
                      , PropertySheet.DublinCore
                      , PropertySheet.DivergenceTester
                      , PropertySheet.SolverSelection
                     )
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  # Declarative interfaces
  zope.interface.implements( interfaces.IDivergenceTester, )

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  def testDivergence(self, simulation_movement):
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    """
    Tests if simulation_movement is divergent. Returns 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
    """
    return self.explain(simulation_movement) is not None

  def explain(self, simulation_movement):
    """
    Returns a single message 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

    NOTE: this approach is incompatible with previous
    API which was returning a list.

    NOTE: should we provide compatibility here ?
    """
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    delivery_movement = simulation_movement.getDeliveryValue()
    compare_result = self._compare(simulation_movement, delivery_movement)
    if compare_result is None:
      return None
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    else:
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      prevision_value, decision_value, message, mapping = compare_result
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      return DivergenceMessage(
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        object_relative_url=delivery_movement.getRelativeUrl(),
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        simulation_movement=simulation_movement,
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        decision_value=decision_value,
        prevision_value=prevision_value,
        tested_property=self.getTestedProperty(),
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        message=message,
        mapping=mapping
        )

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  def generateHashKey(self, 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.
    """
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    return '%s/%s' % (self.getPortalType(), self.getTestedProperty())
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  def compare(self, prevision_movement, decision_movement):
    """
    Returns True if simulation_movement and delivery_movement
    match. Returns False else. The method is asymmetric 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)
    """
    return (self._compare(prevision_movement, decision_movement) is None)

  def _compare(self, prevision_movement, decision_movement):
    """
    If prevision_movement and decision_movement dont match, it returns a
    list : (prevision_value, decision_value, message, mapping)
    """
    tested_property = self.getTestedProperty()
    decision_value = decision_movement.getProperty(tested_property)
    if prevision_movement.isPropertyRecorded(tested_property):
      prevision_value = prevision_movement.getRecordedProperty(tested_property)
      if isinstance(prevision_value, (list, tuple)):
        prevision_value = prevision_value[0]
    else:
      prevision_value = prevision_movement.getProperty(tested_property)

    delta = decision_value - prevision_value
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    # XXX we should use appropriate property sheets and getter methods
    # for these properties.
    absolute_tolerance_min = self.getProperty('quantity_range_min') or \
                             self.getProperty('quantity')
    if absolute_tolerance_min is not None and \
       delta < absolute_tolerance_min:
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      return (
        prevision_value, decision_value,
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        'The difference of ${prperty_name} between decision and prevision is less than ${value}.',
        dict(property_name=tested_property,
             value=absolute_tolerance_min))
    absolute_tolerance_max = self.getProperty('quantity_range_max') or \
                             self.getProperty('quantity')
    if absolute_tolerance_max is not None and \
       delta > absolute_tolerance_max:
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      return (
        prevision_value, decision_value,
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        'The difference of ${prperty_name} between decision and prevision is larger than ${value}.',
        dict(property_name=tested_property,
             value=absolute_tolerance_max))

    tolerance_base = self.getProperty('tolerance_base')
    if tolerance_base == 'currency_precision':
      try:
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        precision = prevision_movement.getSectionValue().getPriceCurrencyValue().getQuantityPrecision()
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        base = 10 ** -precision
      except AttributeError:
        base = None
    elif tolerance_base == 'quantity':
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      base = prevision_value
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    else:
      base = None
    if base is not None:
      relative_tolerance_min = self.getProperty('tolerance_range_min') or \
                               self.getProperty('tolerance')
      if relative_tolerance_min is not None and \
             delta < relative_tolerance_min * base:
        if tolerance_base == 'price_currency':
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          return (
            prevision_value, decision_value,
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            'The difference of ${prperty_name} between decision and prevision is less than ${value} times of the currency precision.',
            dict(property_name=tested_property,
                 value=relative_tolerance_min))
        else:
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          return (
            prevision_value, decision_value,
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            'The difference of ${prperty_name} between decision and prevision is less than ${value} times of the prevision value.',
            dict(property_name=tested_property,
                 value=relative_tolerance_min))
      relative_tolerance_max = self.getProperty('tolerance_range_max') or \
                               self.getProperty('tolerance')
      if relative_tolerance_max is not None and \
             delta < relative_tolerance_max * base:
        if tolerance_base == 'price_currency':
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          return (
            prevision_value, decision_value,
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            'The difference of ${prperty_name} between decision and prevision is less than ${value} times of the currency precision.',
            dict(property_name=tested_property,
                 value=relative_tolerance_max))
        else:
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          return (
            prevision_value, decision_value,
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            'The difference of ${prperty_name} between decision and prevision is less than ${value} times of the prevision value.',
            dict(property_name=tested_property,
                 value=relative_tolerance_max))
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    return None
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    # XXX the followings are not treated yet:
    # * decimal_alignment_enabled
    # * decimal_rounding_option
    # * decimal_exponent

  def update(self, 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 unknown how to update properties from
    a simulation movement to the relevant level of
    delivery / line / cell.
    """
    raise NotImplementedError

  def accept(self, 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.
    """
    raise NotImplementedError

  def adopt(self, 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.
    """
    raise NotImplementedError