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nexedi
dream
Commits
5c41dfd5
Commit
5c41dfd5
authored
May 09, 2014
by
Georgios Dagkakis
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DemandPlanning updated to create a JSON for LineGenerationJSON
parent
cd335b24
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1
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-25
dream/simulation/GUI/DemandPlanning.py
dream/simulation/GUI/DemandPlanning.py
+35
-25
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dream/simulation/GUI/DemandPlanning.py
View file @
5c41dfd5
...
...
@@ -29,6 +29,7 @@ import xlwt
import
xlrd
import
json
from
AllocManagement
import
AllocManagement
from
dream.simulation.LineGenerationJSON
import
main
as
simulate_line_json
from
dream.simulation.Globals
import
G
from
dream.simulation.FutureDemandCreator
import
FutureDemandCreator
...
...
@@ -256,44 +257,53 @@ def main():
# read from inputs spreadsheet
readGeneralInput
()
# open json file
argumentDictFile
=
open
(
'argumentDict.json'
,
mode
=
'w'
)
argumentDict
=
{}
argumentDict
[
'argumentDict'
]
=
{}
argumentDictFile
=
open
(
'inputFile.json'
,
mode
=
'w'
)
inputDict
=
{}
inputDict
[
'_class'
]
=
'Dream.Simulation'
# set general attributes
argumentDict
[
'general'
]
=
{}
argumentDict
[
'general'
][
'maxSimTime'
]
=
G
.
planningHorizon
argumentDict
[
'general'
][
'numberOfReplications'
]
=
G
.
ReplicationNo
inputDict
[
'general'
]
=
{}
inputDict
[
'general'
][
'maxSimTime'
]
=
G
.
planningHorizon
inputDict
[
'general'
][
'numberOfReplications'
]
=
G
.
ReplicationNo
inputDict
[
'general'
][
'_class'
]
=
'Dream.Simulation'
inputDict
[
'nodes'
]
=
{}
inputDict
[
'nodes'
][
'AM'
]
=
{}
inputDict
[
'nodes'
][
'AM'
][
'_class'
]
=
'Dream.AllocationManagement'
inputDict
[
'nodes'
][
'AM'
][
'id'
]
=
'AM1'
inputDict
[
'nodes'
][
'AM'
][
'name'
]
=
'AM1'
inputDict
[
'nodes'
][
'AM'
][
'argumentDict'
]
=
{}
# 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
inputDict
[
'nodes'
][
'AM'
]
[
'argumentDict'
][
'currentPPOS'
]
=
{}
inputDict
[
'nodes'
][
'AM'
]
[
'argumentDict'
][
'currentPPOS'
][
'id'
]
=
G
.
TargetPPOS
inputDict
[
'nodes'
][
'AM'
]
[
'argumentDict'
][
'currentPPOS'
][
'quantity'
]
=
G
.
TargetPPOSqty
inputDict
[
'nodes'
][
'AM'
]
[
'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
inputDict
[
'nodes'
][
'AM'
]
[
'argumentDict'
][
'allocationData'
]
=
{}
inputDict
[
'nodes'
][
'AM'
]
[
'argumentDict'
][
'allocationData'
][
'maxEarliness'
]
=
G
.
maxEarliness
inputDict
[
'nodes'
][
'AM'
]
[
'argumentDict'
][
'allocationData'
][
'maxLateness'
]
=
G
.
maxLateness
inputDict
[
'nodes'
][
'AM'
]
[
'argumentDict'
][
'allocationData'
][
'minPackingSize'
]
=
G
.
minPackingSize
# set capacity attributes
argumentDict
[
'argumentDict'
][
'capacity'
]
=
G
.
CapacityDict
inputDict
[
'nodes'
][
'AM'
]
[
'argumentDict'
][
'capacity'
]
=
G
.
CapacityDict
# set MA attributes
argumentDict
[
'argumentDict'
][
'MAList'
]
=
G
.
RouteDict
inputDict
[
'nodes'
][
'AM'
]
[
'argumentDict'
][
'MAList'
]
=
G
.
RouteDict
G
.
argumentDictString
=
json
.
dumps
(
argumen
tDict
,
indent
=
5
)
G
.
argumentDictString
=
json
.
dumps
(
inpu
tDict
,
indent
=
5
)
argumentDictFile
.
write
(
G
.
argumentDictString
)
# create the future demand
FDC
=
FutureDemandCreator
()
FDC
.
run
()
#call the AllocManagement routine
AM
=
AllocManagement
()
AM
.
Run
()
writeOutput
()
# currently to excel for verification. To be outputted in JSON
print
G
.
AllocationPPOS
#
# create the future demand
#
FDC=FutureDemandCreator()
#
FDC.run()
#
#call the AllocManagement routine
#
AM = AllocManagement()
#
AM.Run()
#
writeOutput() # currently to excel for verification. To be outputted in JSON
if
__name__
==
'__main__'
:
main
()
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