DemandProfile added as initial work to transform excel to JSON

dream/simulation/GUI/DemandPlanning.py

+# ===========================================================================
+# Copyright 2013 University of Limerick
+#
+# This file is part of DREAM.
+#
+# DREAM is free software: you can redistribute it and/or modify
+# it under the terms of the GNU Lesser General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# DREAM 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 Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public License
+# along with DREAM.  If not, see <http://www.gnu.org/licenses/>.
+# ===========================================================================
+'''
+Created on 17 Apr 2014
+
+@author: George
+'''
+'''
+test script to convert the static excels to JSON. It does not communicate with GUI yet
+'''
+
+import xlwt
+import xlrd
+import json
+
+'''
+Created on 5 Sep 2013
+
+@author: Anna
+'''
+
+class G:
+    TargetPPOS = 0
+    TargetPPOSqty = 0
+    TargetPPOSweek = 0
+    ReplicationNo = 0
+    replication = 0
+    PPOSlist = {}
+    Capacity = []
+    route = {}
+    maxEarliness = 0        # max number of weeks for earliness
+    maxLateness = 0         # max number of weeks for lateness
+    planningHorizon =0      # for future demand purposes
+    demandFile = None
+    currentCapacity = None
+    reCapacity = []
+    PPOSprofile = []        # initial disaggregation for PPOS
+    FutureProfile = []      # initial disaggregation for future demand
+    AllocationFuture = []
+    FutureLateness = []
+    FutureEarliness = []    
+    AllocationPPOS = []
+    PPOSLateness = []
+    PPOSEarliness = []
+    minPackingSize = 0
+    Buffer = []
+    ExcessPPOSBuffer = []
+    ExcessPPOSminBuffer = []
+    ExcessFutureBuffer = []
+    ExcessFutureMinBuffer = []    
+    DistributionType=None
+    CapacityDict={}
+    RouteDict={}
+
+#    filterItem = 0
+#    filterWeek = 0
+
+
+#===================================
+# import simulation input data
+#===================================
+def readGeneralInput():
+    # general simulation input
+    wbin = xlrd.open_workbook('GUI/inputs.xlsx')
+    sh = wbin.sheet_by_name('Scalar_Var')
+    G.TargetPPOS = int(sh.cell(2,1).value) -1 
+    G.TargetPPOSqty = int(sh.cell(3,1).value)
+    G.TargetPPOSweek = int(sh.cell(6,1).value) -1    
+    G.planningHorizon = int(sh.cell(7,1).value) 
+    G.ReplicationNo = int(sh.cell(15,1).value) 
+    G.maxEarliness = int(sh.cell(18,1).value) 
+    G.maxLateness = int(sh.cell(19,1).value) 
+    G.minPackingSize = int(sh.cell(22,1).value)
+
+    # capacity information
+    sh = wbin.sheet_by_name('Capacity')
+    nCols = sh.ncols
+    nRows=sh.nrows
+    assert(nCols == G.planningHorizon+1)
+    capacity=[]
+#     for i in range(1,nCols):
+#         capacity.append(sh.col_values(i,2))
+
+    for i in range(2, nRows):
+        capacity.append(sh.row_values(i,1,4))
+    G.Capacity = capacity      
+
+    # PPOS-MA disaggregation and corresponding routes
+    sh = wbin.sheet_by_name('Route')
+    nRows = sh.nrows
+    nCols = sh.ncols
+    # prepare a dict that holds the capacity of every bottleneck  per week
+    for i in range(3,nCols):
+        G.CapacityDict[sh.cell(2,i).value]=G.Capacity[i-3]
+    
+    
+    for i in range(4,nRows):
+        tempPPOSlist = sh.row_values(i,0,3)
+        id=tempPPOSlist[2]
+        ppos=tempPPOSlist[0]
+        sp=tempPPOSlist[1]
+        routeValues=sh.row_values(i,3,nCols)
+        G.RouteDict[id]={'PPOS':ppos, 'SP':sp, 'route':{}}
+        for j in range(len(routeValues)):
+            G.RouteDict[id]['route'][sh.cell(2,j+3).value]=routeValues[j]
+
+def main():    
+    # read from inputs spreadsheet
+    readGeneralInput()
+    # open json file
+    argumentDictFile=open('argumentDict.json', mode='w')
+    argumentDict={}
+    argumentDict['argumentDict']={}
+    
+    # set general attributes
+    argumentDict['general']={}
+    argumentDict['general']['maxSimTime']=G.planningHorizon
+    argumentDict['general']['numberOfReplications']=G.ReplicationNo
+    
+    # set current PPOS attributes
+    argumentDict['argumentDict']['currentPPOS']={}
+    argumentDict['argumentDict']['currentPPOS']['id']=G.TargetPPOS
+    argumentDict['argumentDict']['currentPPOS']['quantity']=G.TargetPPOSqty
+    argumentDict['argumentDict']['currentPPOS']['targetWeek']=G.TargetPPOSweek
+    
+    # set allocation attributes
+    argumentDict['argumentDict']['allocationData']={}
+    argumentDict['argumentDict']['allocationData']['maxEarliness']=G.maxEarliness
+    argumentDict['argumentDict']['allocationData']['maxLateness']=G.maxLateness
+    argumentDict['argumentDict']['allocationData']['minPackingSize']=G.minPackingSize
+        
+    # set capacity attributes
+    argumentDict['argumentDict']['capacity']=G.CapacityDict    
+
+    # set MA attributes
+    argumentDict['argumentDict']['MA']=G.RouteDict  
+    
+    argumentDictString=json.dumps(argumentDict, indent=5)
+    argumentDictFile.write(argumentDictString)
+    
+if __name__ == '__main__':
+    main()