# -*- coding: utf-8 -*- ############################################################################## # # Copyright (c) 2009 Nexedi SA and Contributors. All Rights Reserved. # Jean-Paul Smets-Solanes <jp@nexedi.com> # # WARNING: This program as such is intended to be used by professional # programmers who take the whole responsability 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 # garantees 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.ERP5Type import Permissions, PropertySheet, interfaces from Products.ERP5Type.XMLObject import XMLObject from Products.CMFActivity.ActiveProcess import ActiveProcess from Products.ERP5Type.Errors import UnsupportedWorkflowMethod class SolverProcess(XMLObject, ActiveProcess): """ Solver Process class represents the decision of the user to solve a divergence. The data structure is the following: Solver Process can contain: - Solver Decision documents which represent the decision of the user to solve a divergence on a given Delivery Line by using a certain heuristic - Target Solver documents which encapsulate the resolution heuristic in relation with DivergenceTester (ie. each DivergenceTester must provide a list of Target Solver portal types whch are suitable to solve a given divergence) and which may eventually use a Delivery Solver each time divergence is related to quantities. Every Simulation Movement affected by a Solver Process has a relation to the solver process through the "solver" base category. """ meta_type = 'ERP5 Solver Process' portal_type = 'Solver Process' add_permission = Permissions.AddPortalContent isIndexable = 0 # We do not want to fill the catalog with objects on which we need no reporting # Declarative security security = ClassSecurityInfo() security.declareObjectProtected(Permissions.AccessContentsInformation) # Default Properties property_sheets = ( PropertySheet.Base , PropertySheet.XMLObject , PropertySheet.CategoryCore , PropertySheet.DublinCore ) # Declarative interfaces zope.interface.implements(interfaces.ISolver, interfaces.IConfigurable, ) # Implementation def buildTargetSolverList(self): """ Builds target solvers from solver decisions """ solver_dict = {} movement_dict = {} types_tool = self.portal_types # XXX The following logic does not work if several testers handle # the divergence for the same property. # First create a mapping between delivery movements and solvers # in order to know for each movements which solvers are needed # and which parameters with for decision in self.contentValues(portal_type="Solver Decision"): solver = decision.getSolverValue() # do nothing if solver is not yet set. if solver is None: continue solver_type = solver.getId() # ex. Postpone Production Solver solver_conviguration_dict = decision.getConfigurationPropertyDict() solver_conviguration_key = tuple(solver_conviguration_dict.items()) for movement in decision.getDeliveryValueList(): # Detect incompatibilities movement_solver_dict = movement_dict.setdefault(movement.getRelativeUrl(), {}) movement_solver_configuration_dict = movement_solver_dict.setdefault((solver_type, decision), {}) movement_solver_configuration_dict[solver_conviguration_key] = None # Second, make sure solvers do not conflict and configuration is valid for movement_url, movement_solver_dict in movement_dict.items(): for solver_info, movement_solver_configuration_dict in movement_solver_dict.items(): solver_type, decision = solver_info solver = types_tool[solver_type] for other_solver_info in movement_solver_dict.keys(): if other_solver_info == solver_info: continue # Try do detect conflict. # XXX it cannot be determined by solver portal type itself, but we # need the information of testers. # if solver.conflictsWithSolver(types_tool[other_solver_type]): if set(decision.getCausalityValue().getTestedPropertyList).intersection( set(other_solver_info[1].getCausalityValue().getTestedPropertyList)): raise ValueError, "Solver %s for %s conflicts with solver %s for %s on movement %s" % (solver_type, decision.getTitle(), other_solver_info[0], other_solver_info[0].getCausalityTitle(), movement_url) # Make sure multiple configuration are possible try: # Solver key contains only those properties which differentiate # solvers (ex. there should be only Production Reduction Solver) solver_key = tuple(solver.reduceConfigurationList(movement_solver_configuration_dict.keys())) except: raise solver_key_dict = solver_dict.setdefault(solver_info, {}) solver_movement_dict = solver_key_dict.setdefault(solver_key, {}) solver_movement_dict[movement_url] = movement_solver_configuration_dict.keys() # Third, build target solvers for solver_info, solver_key_dict in solver_dict.items(): solver_type, decision = solver_info for solver_key, solver_movement_dict in solver_key_dict.items(): solver_instance = self.newContent(portal_type=solver_type) solver_instance._setDeliveryList(solver_movement_dict.keys()) solver_instance.setCausalityValue(decision) for movement_url, configuration_list in solver_movement_dict.iteritems(): for configuration_kw in configuration_list: if len(configuration_kw): solver_instance.updateConfiguration(**dict(configuration_kw)) # ISolver implementation # Solver Process Workflow Interface # NOTE: how can we consider that a workflow defines or provides an interface ? def solve(self): """ Start solving """ for solver in self.contentValues(portal_type=self.getPortalObject().getPortalTargetSolverTypeList()): try: solver.startSolving() solver.activate(active_process=self).solve() except UnsupportedWorkflowMethod: pass # API def isSolverDecisionListConsistent(self): """ Returns True is the Solver Process decisions do not need to be rebuilt, False else. This method can be invoked before invoking buildSolverDecisionList if this helps reducing CPU time. """ def buildSolverDecisionList(self, delivery_or_movement=None, temp_object=False): """ Build (or rebuild) the solver decisions in the solver process delivery_or_movement -- a movement, a delivery, or a list thereof """ if delivery_or_movement is None: raise NotImplementedError # Gather all delivery lines already found # in already built solvers if not isinstance(delivery_or_movement, (tuple, list)): delivery_or_movement = [delivery_or_movement] movement_list = [] for x in delivery_or_movement: if x.getPortalType() not in \ self.getPortalObject().getPortalMovementTypeList(): movement_list.extend(x.getMovementList()) # We suppose here that movement_list is a list of # delivery lines. Let group decisions in such way # that a single decision is created per divergence tester instance # and per application level list solver_tool = self.getParentValue() solver_decision_dict = {} for movement in movement_list: for simulation_movement in movement.getDeliveryRelatedValueList(): for divergence_tester in simulation_movement.getParentValue().getSpecialiseValue()._getDivergenceTesterList(exclude_quantity=False): if divergence_tester.compare(simulation_movement, movement): continue application_list = map(lambda x:x.getRelativeUrl(), solver_tool.getSolverDecisionApplicationValueList(movement, divergence_tester)) application_list.sort() solver_decision_key = (divergence_tester.getRelativeUrl(), tuple(application_list)) movement_dict = solver_decision_dict.setdefault(solver_decision_key, {}) movement_dict[simulation_movement] = None # Now build the solver decision instances based on the previous # grouping # XXX-JPS: pseudocode for update (ie. rebuild) is not present index = 1 for solver_decision_key, movement_dict in solver_decision_dict.items(): if temp_object: new_decision = self.newContent(portal_type='Solver Decision', temp_object=True, #id=index, uid='new_%s' % index) index += 1 else: new_decision = self.newContent(portal_type='Solver Decision') new_decision._setDeliveryList(solver_decision_key[1]) new_decision._setCausality(solver_decision_key[0]) def _generateRandomId(self): # call ActiveProcess._generateRandomId() explicitly otherwise # Folder._generateRandomId() will be called and it returns 'str' not # 'int' id. return ActiveProcess._generateRandomId(self)