Usage Examples
Topics covered in this chapter:
Simple Model
This is a version of the 'chess2' example, modified to be an Xpress Insight app. It demonstrates how to write a model so that Xpress Insight can capture or inject the model's input data, depending upon the run mode, while still allowing the model developer to run the model from outside of Xpress Insight, e.g. from the Mosel command line.
model Chess2
uses "mmxprs" ! Load the Xpress Optimizer
uses "mminsight" ! Load the Insight interface
public declarations
! Model inputs
UnitTypes: set of string
ResourceTypes: set of string
ResourceLimits: array(ResourceTypes) of real
ProfitPerUnit: array(UnitTypes) of real
UnitResourceRequirements: array(UnitTypes,ResourceTypes) of real
! Mathematical model objects (providing model results)
unitstobuild: array(UnitTypes) of mpvar
ResourceLimitConstraints: array(ResourceTypes) of linctr
MaxProfit: linctr
end-declarations
! Procedure to populate model with initial input data
procedure loaddata
ProfitPerUnit:: (["small","large"])[5,20]
UnitResourceRequirements:: (["small"],["wood","mc_time"]) [1,3]
UnitResourceRequirements:: (["large"],["wood","mc_time"]) [3,2]
ResourceLimits:: (["wood","mc_time"])[200,400]
finalize( UnitTypes )
finalize( ResourceTypes )
end-procedure
! Procedure to build and solve optimization problem
procedure solvemodel
! Build whole units only
forall(u in UnitTypes) unitstobuild(u) is_integer
! Define profit
MaxProfit:= sum(u in UnitTypes) ProfitPerUnit(u)*unitstobuild(u)
! Don't use more than available resources
forall(r in ResourceTypes)
ResourceLimitConstraints(r) := ( sum(u in UnitTypes)
UnitResourceRequirements(u,r)*unitstobuild(u) ) <= ResourceLimits(r)
! Solve the mixed integer problem
insightmaximize(MaxProfit)
! Print the solution to the run log
writeln("Solution:\n Objective: ", getobjval)
forall(u in UnitTypes)
writeln(u, ":", unitstobuild(u).sol)
end-procedure
! Define actions to perform in 'load' execution mode
!@insight.execmodes.LOAD
public procedure doload
! Scenario is being 'loaded' through Xpress Insight
! Initialize input arrays and then terminate
loaddata
end-procedure
! Define actions to perform in 'run' execution mode
!@insight.execmodes.RUN
public procedure dorun
! Scenario is being 'run' through Xpress Insight
! Populate with Insight scenario data and then solve optimization
insightpopulate
solvemodel
end-procedure
! Define actions to perform when model is run standalone (without Xpress Insight)
!@insight.execmodes.NONE
public procedure doloadandrun
! Model is being run outside of Xpress Insight, e.g. from the Mosel command-line tool
! Initialize input arrays then solve optimization
loaddata
solvemodel
end-procedure
! Automatically call the procedure with annotation matching the current execution mode
insightdispatch
end-model Insight will by default manage all public entities of supported types in the scenario, with entities storing linctr and mpvar values in the result data and all others in the input, but you can change this by adding annotations as we'll describe in section Annotations.
Accessing Attachments
As described in the Developer Guide, Xpress Insight allows files to be attached to an app or scenario. While the model is running within Xpress Insight, the Mosel interface will allow you to query, read and edit attachments of the scenario being run, as well as query and read (but not edit) attachments of the app to which that scenario belongs.
To demonstrate the use of an app and scenario attachments, in this example we have a Distances array that we want to populate with distances between cities. As this data will not change, it would be very wasteful to store a copy of these in every scenario of the app, so we store them in a file distances.dat which is attached to the app. In the example, we call insightgetappattach to copy this file to the working directory and then populate the Distances array from this. (The Distances array is annotated as ignored by Xpress Insight, so it will not be part of the Insight scenario data model.)
To demonstrate the use of scenario attachments, we then save the model's results to a file decorated with today's date, and attach this file to the current scenario.
model RoutePlanner
uses "mmxprs" ! Load the Xpress Optimizer
uses "mminsight" ! Load the Insight interface
! Input data - stored in Insight scenario
!@insight.manage input
public declarations
EvaluationDate: string
Cities: set of string
TrafficLevels: array(Cities,Cities) of real
end-declarations
! Result data - stored in Insight scenario
!@insight.manage result
public declarations
routetaken: array(Cities,Cities) of mpvar
end-declarations
! Data structures used internally in the model
!@insight.manage ignore
declarations
Distances: array(Cities,Cities) of real
end-declarations
! Procedure to build and solve optimization problem
procedure runproblem
! Download app attachment
if insightgetmode <> INSIGHT_MODE_NONE then
! Model is running within Insight, so download distances.dat from Insight server
insightgetappattach("distances.dat")
if insightattachstatus<>INSIGHT_ATTACH_OK then
writeln("Failed to download app attachment")
exit(1)
end-if
else
! Model is running outside of Insight, attachments are not accessible
! so copy from some other location
fcopy( '/Users/me/myfiles/distances.dat', 'distances.dat' )
end-if
! Load into model
initializations from "distances.dat"
Distances
end-initializations
! Perform optimization
buildproblem
optimizeproblem
! Capture results to file
ROUTES_FNAME := "result-"+EvaluationDate+".dat"
fopen(ROUTES_FNAME,F_OUTPUT)
forall (s in Cities, d in Cities | routetaken(s,d).sol=1)
writeln(s,"->",d)
fclose(F_OUTPUT)
! Store as scenario attachment
if insightgetmode <> INSIGHT_MODE_NONE then
! Model is running within Insight, so upload distances.dat to Insight server
insightputscenattach(ROUTES_FNAME)
if insightattachstatus<>INSIGHT_ATTACH_OK then
writeln("Failed to upload scenario attachment")
exit(1)
end-if
end-if
end-procedure
!@insight.execmodes.LOAD
public procedure doload
loaddata
end-procedure
!@insight.execmodes.RUN
public procedure dorun
insightpopulate
runproblem
end-procedure
!@insight.execmodes.NONE
public procedure doloadandrun
loaddata
runproblem
end-procedure
insightdispatch
end-model For clarity, the implementation of the loaddata, buildproblem and optimizeproblem procedures have been omitted from the example.
Inter-Scenario Data Access
You can also initialize your data structures with values from external scenarios using the mminsight.scenariodata I/O driver with a standard Mosel initializations-from block. For example, the following model initializes the array "Distances" from an array called "CityDrivingDistances" in a scenario "USDrivingDistances" in an app named "DrivingDistancesModel"
model RoutePlanner
uses "mmxprs" ! Load the Xpress Optimizer
uses "mminsight" ! Load the Insight interface
! Input data - stored in Insight scenario
!@insight.manage input
public declarations
Cities: set of string
TrafficLevels: array(Cities,Cities) of real
end-declarations
! Result data - stored in Insight scenario
!@insight.manage result
public declarations
routetaken: array(Cities,Cities) of mpvar
end-declarations
! Data structures used internally in the model
!@insight.manage ignore
declarations
Distances: array(Cities,Cities) of real
end-declarations
! Procedure to build and solve optimization problem
procedure runproblem
! Populate 'Distances' array
if insightgetmode <> INSIGHT_MODE_NONE then
! Populate 'Distances' array from the remote scenario
initializations from "mminsight.scenariodata:/DrivingDistancesModel/USDrivingDistances"
Distances as "CityDrivingDistances"
end-initializations
else
! Model is running outside of Insight, so populate driving distances from local file
initializations from "/Users/me/myfiles/distances.dat"
Distances
end-initializations
end-if
! Perform optimization
buildproblem
optimizeproblem
end-procedure
!@insight.execmodes.LOAD
public procedure doload
loaddata
end-procedure
!@insight.execmodes.RUN
public procedure dorun
insightpopulate
runproblem
end-procedure
!@insight.execmodes.NONE
public procedure doloadandrun
loaddata
runproblem
end-procedure
insightdispatch
end-model For clarity, the implementation of the loaddata, buildproblem and optimizeproblem procedures have been omitted from the example.
Annotations
The handling of model (schema) entities by Insight and certain global settings such as execution modes are configured via annotations to the Mosel model. The following Mosel model extract shows some examples of annotation definitions.
!@insight.manage=input public declarations ! All entities declared here are managed as input !@insight.alias City Names !@insight.descr Set of all cities Cities: set of string TrafficLevels: array(Cities,Cities) of real end-declarations !@insight.manage result ! All entities declared here are managed as results public declarations routetaken: array(Cities,Cities) of mpvar end-declarations ! Data structures used internally in the model !@insight.manage ignore ! All entities declared here are not managed by Insight declarations Distances: array(Cities,Cities) of real end-declarations ! The 'insight.execmodes' annotations would normally immediately precede the subroutines ! that implement the execution mode. ! Define an execution mode 'analyzedata' (!@insight.execmodes.analyzedata. @descr Analyzing input data @clearinput false @threads 1 !) public procedure doanalyze loaddata analyzedata end-procedure !@insight.execmodes.LOAD public procedure doload loaddata end-procedure
Type Marshalling
The Insight schema will usually contain entities of basic types (boolean, integer, real and string), and sets and arrays of these. The type marshalling features allow values of external types (types added to Mosel by modules such as mmsystem) to be stored as strings in the Insight schema. Type marshalling can be enabled globally for a type, e.g.:
!@insight.marshal.type datetime string ! All values of type datetime will be represented by string in the Insight schema !@insight.manage=input public declarations today: datetime ! will be treated as 'string' in Insight schema alldatesin2000: set of constant datetime ! will be treated as 'set of string' in Insight schema birthdays: array(set of string) of datetime ! will be treated as 'array of string' in Insight schema now: time ! will not be in Insight schema; no annotation for type 'time' end-declarations
Or for individual entities, e.g.:
!@insight.manage=input public declarations !@insight.marshal.value string today: datetime ! will be treated as 'string' in Insight schema !@insight.marshal.value string alldatesin2000: set of constant datetime ! will be treated as 'set of string' in Insight schema !@insight.marshal.value string birthdays: array(set of string) of datetime ! will be treated as 'array of string' in Insight schema yesterday: datetime ! will not be in Insight schema; no marshalling annotation for this entity end-declarations
When applying the type marshalling to a set or array, the conversion will be applied to the values within the collection, not the collection itself (e.g. 'set of datetime' becomes 'set of string', not a scalar 'string' concatenating everything within the set.
The type marshalling annotations can be applied to any module type that supports conversion to and from string. In the standard Xpress installation, these are the types to which the annotation can be applied:
There are a few restrictions on using either type marshalling annotation:
- Marshalling can only be applied to module types as described above - not records, lists or nested types such as 'set of set of string'.
- When used with a set, the set must be declared set of constant to ensure it cannot contain duplicate values.
- For date/time/datetime types, the default string format will always be used, ignoring the datefmt, timefmt and datetimefmt parameters.
- Trying to marshal a native type that does not support conversion both to and from string will result in an error when running the scenario, not when loading the app into Insight.
© 2001-2024 Fair Isaac Corporation. All rights reserved. This documentation is the property of Fair Isaac Corporation (“FICO”). Receipt or possession of this documentation does not convey rights to disclose, reproduce, make derivative works, use, or allow others to use it except solely for internal evaluation purposes to determine whether to purchase a license to the software described in this documentation, or as otherwise set forth in a written software license agreement between you and FICO (or a FICO affiliate). Use of this documentation and the software described in it must conform strictly to the foregoing permitted uses, and no other use is permitted.
