Improve signal tables

Project.toml

@@ -1,7 +1,7 @@
 authors = ["Hilding Elmqvist <Hilding.Elmqvist@Mogram.net>", "Martin Otter <Martin.Otter@dlr.de>"]
 name = "Modia"
 uuid = "cb905087-75eb-5f27-8515-1ce0ec8e839e"
-version = "0.9.2"
+version = "0.9.3"
 
 [deps]
 DiffEqBase = "2b5f629d-d688-5b77-993f-72d75c75574e"
@@ -27,7 +27,7 @@ TimerOutputs = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
 Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"
 
 [compat]
-DiffEqBase = "6.82.0"
+DiffEqBase = "6"
 DataFrames = "1"
 DifferentialEquations = "7"
 FiniteDiff = "2"
@@ -39,7 +39,7 @@ MonteCarloMeasurements = "1"
 OrderedCollections = "1"
 RecursiveFactorization = "0.2"
 Reexport = "1"
-SignalTables = "0.3.5"
+SignalTables = "0.4.0"
 StaticArrays = "1"
 Sundials = "4"
 TimerOutputs = "0.5"

docs/src/index.md

@@ -42,21 +42,29 @@ functionalities of these packages.
 
 ## Release Notes
 
+### Version 0.9.3
+
+- Requires SignalTables 0.4.0 (introduces Map-signal)
+- getSignalNames(...; getVar=true, getPar=true, getMap=true): New keyword arguments to filter names.
+- writeSignalTable(instantiatedModel,..): Include attributes = Map(model=..., experiment=...).
+- Some internal bug-fixes.
+
+
 ### Version 0.9.2
 
 - Bug fix: integrator IDA() can be used (especially to avoid solving large linear equation systems in the model).\
   Extend some test models to use IDA().
-  
+
 
 ### Version 0.9.1
 
 - Requires SignalTables 0.3.5.
 
 - [`@usingModiaPlot`](@ref): corrected and fixed in docu. Alternatively, @usingPlotPackage can be used,
   provided package SignalTables is present in your current environment.
-  
+
 - Internal: A function call in the generated code prefixed with `Modia.`.
-  
+
 
 ### Version 0.9.0
 
@@ -77,13 +85,13 @@ functionalities of these packages.
   with `writeSignalTable(filename, instantiatedModel)` (or in HDF5 format via [JDL](https://github.com/JuliaIO/JLD.jl)).
   You get an overview of a simulation result via `showInfo(instantiatedModel)`.
 
-- New functions [`hasParameter`](@ref), [`getParameter`](@ref), [`getEvaluatedParameter`](@ref), 
+- New functions [`hasParameter`](@ref), [`getParameter`](@ref), [`getEvaluatedParameter`](@ref),
   [`showParameters`](@ref), [`showEvaluatedParameters`](@ref) to
   get parameter/init/start values by name (e.g. `getEvaluatedParameter(instantiatedModel, "a.b.c")`) or
   show all parameters.
 
 - New functions to add states and algebraic variables from within functions that are not visible in the generated code
-  (see [Variable definitions in functions](@ref) and example `Modia/test/TestLinearSystems.jl`). 
+  (see [Variable definitions in functions](@ref) and example `Modia/test/TestLinearSystems.jl`).
   This feature is used in the next version of
   Modia3D to allow (Modia3D) model changes after code generation and to get more light weight code.
 

src/CodeGeneration.jl

@@ -329,6 +329,7 @@ mutable struct SimulationModel{FloatType,TimeType}
 
     parameters::OrderedDict{Symbol,Any}         # Parameters as provided to SimulationModel constructor
     equationInfo::Modia.EquationInfo            # Invariant part of equations are available
+    x_terminate::Vector{FloatType}              # States x used at the last terminate!(..) call or [], if terminate!(..) not yet called.
 
     # Available after propagateEvaluateAndInstantiate!(..) called
     instantiateFunctions::Vector{Tuple{Union{Expr,Symbol},OrderedDict{Symbol,Any},String}}
@@ -353,6 +354,7 @@ mutable struct SimulationModel{FloatType,TimeType}
     der_x_segmented::Vector{FloatType}          # Derivatives of states x or x_init that correspond to segmented states (defined in functions and not visible in getDerivatives!(..))
     der_x::Vector{FloatType}                    # Derivatives of states x
 
+
     function SimulationModel{FloatType,TimeType}(modelModule, modelName, buildDict, getDerivatives!, equationInfo,
                                         previousVars, preVars, holdVars,
                                         parameterDefinition, timeName, w_invariant_names, hideResult_names;
@@ -408,6 +410,7 @@ mutable struct SimulationModel{FloatType,TimeType}
         instantiateResult = true
         newResultSegment = false
         parameters = deepcopy(parameterDefinition)
+        x_terminate = FloatType[]
 
        new(modelModule, modelName, buildDict, TimerOutputs.TimerOutput(), UInt64(0), UInt64(0), SimulationOptions{FloatType,TimeType}(), getDerivatives!,
            equationInfo, linearEquations, eventHandler,
@@ -418,7 +421,7 @@ mutable struct SimulationModel{FloatType,TimeType}
            isInitial, solve_leq, true, storeResult, convert(TimeType, 0), nGetDerivatives, nf,
            odeIntegrator, daeCopyInfo, algorithmName, sundials, addEventPointsDueToDEBug, success, unitless,
            string(timeName), w_invariant_names, hideResult_names, vEliminated, vProperty, var_name, result,
-           parameters, equationInfo)
+           parameters, equationInfo, x_terminate)
     end
 
 #=
@@ -876,11 +879,11 @@ Return the names of the elements of the x-vector in a Vector{String}.
 get_xNames(m::SimulationModel) = Modia.get_xNames(m.equationInfo)
 
 
-
 """
     isInitial(instantiatedModel)
 
-Return true, if **initialization phase** of simulation.
+Return true, if **initialization phase** of simulation
+(of the current segment of a segmented simulation).
 """
 isInitial(m::SimulationModel) = m.eventHandler.initial
 initial(  m::SimulationModel) = m.eventHandler.initial
@@ -898,19 +901,20 @@ isFirstInitialOfAllSegments(m::SimulationModel) = m.eventHandler.firstInitialOfA
 """
     isTerminal(instantiatedModel)
 
-Return true, if **terminal phase** of simulation.
+Return true, if **terminal phase** of simulation
+(of the current segment of a segmented simulation).
 """
 isTerminal(m::SimulationModel) = m.eventHandler.terminal
 terminal(  m::SimulationModel) = m.eventHandler.terminal
 
 
 """
-    isTerminalOfAllSegmenteds(instantiatedModel)
+    isTerminalOfAllSegments(instantiatedModel)
 
 Return true, if **terminal phase** of simulation of the **last segment**
 of a segmented simulation.
 """
-isTerminalOfAllSegmenteds(m::SimulationModel) = m.eventHandler.terminalOfAllSegments
+isTerminalOfAllSegments(m::SimulationModel) = m.eventHandler.terminalOfAllSegments
 
 
 """
@@ -1073,7 +1077,6 @@ function init!(m::SimulationModel{FloatType,TimeType})::Bool where {FloatType,Ti
     if isnothing(evaluatedParameters)
         return false
     end
-
     m.evaluatedParameters = evaluatedParameters
     m.nextPrevious = deepcopy(m.previous)
     m.nextPre      = deepcopy(m.pre)
@@ -1122,7 +1125,7 @@ function init!(m::SimulationModel{FloatType,TimeType})::Bool where {FloatType,Ti
             # xe_nominal = isnan(xe_info.nominal) ? "" : xe_info.nominal
             push!(x_table, (xe_info.x_name, xe_init, xe_info.unit))   #, xe_nominal))
         end
-        show(stdout, x_table; allrows=true, allcols=true, rowlabel = Symbol("#"), summary=false, eltypes=false)
+        show(stdout, x_table; allrows=true, allcols=true, rowlabel = Symbol("#"), summary=false, eltypes=false, truncate=60)
         println("\n")
     end
 
@@ -1171,9 +1174,10 @@ function initFullRestart!(m::SimulationModel{FloatType,TimeType})::Nothing where
         logInstantiatedFunctionCalls = false
         Core.eval(m.modelModule, :($(fc[1])($m, $(fc[2]), $(fc[3]), log=$logInstantiatedFunctionCalls)))
     end
+    resizeLinearEquations!(m, m.evaluatedParameters, m.options.log)
 
     # Get initial state vector
-    m.x_start = initialStateVector!(m.equationInfo, FloatType)
+    m.x_start = initialStateVector!(m)
 
     # update equationInfo
     x_info = m.equationInfo.x_info
@@ -1222,7 +1226,6 @@ function initFullRestart!(m::SimulationModel{FloatType,TimeType})::Nothing where
         m.x_init[i] = deepcopy(m.x_start[i])
     end
     eventIteration!(m, m.x_init, m.options.startTime)
-    m.success      = false   # is set to true at the first outputs! call.
     eh.fullRestart = false
     eh.initial     = false
     m.isInitial    = false
@@ -1287,8 +1290,11 @@ function terminate!(m::SimulationModel, x, t)::Nothing
     #println("... terminate! called at time = $t")
     eh = m.eventHandler
     eh.terminal = true
+    eh.terminalOfAllSegments = m.eventHandler.restart != Modia.FullRestart
     invokelatest_getDerivatives_without_der_x!(x, m, t)
     eh.terminal = false
+    eh.terminalOfAllSegments = false
+    m.x_terminate = deepcopy(x)
     return nothing
 end
 
@@ -1886,7 +1892,7 @@ function initialStateVector!(m::SimulationModel{FloatType,TimeType})::Vector{Flo
         # differential equation der_x[1] = -x[1], with state name _dummy_x
         new_x_segmented_variable!(m, "_dummy_x", "der(_dummy_x)", FloatType(0))
     end
-    return initialStateVector!(m.equationInfo, FloatType)
+    return initialStateVector!(m.equationInfo, FloatType, !isFullRestart(m), m.x_terminate)
 end
 
 

src/EquationAndStateInfo.jl

@@ -744,13 +744,13 @@ end
 
 
 """
-    x_start = initialStateVector!(eqInfo::EquationInfo, FloatType)::Vector{FloatType}
+    x_start = initialStateVector!(eqInfo::EquationInfo, FloatType, isFirstSegment, x_terminate)::Vector{FloatType}
 
 The function updates `eqInfo` (e.g. sets eqInfo.nx, eqInfo.nxInvariant) and returns the initial state vector x_start.
 
 This function must be called, after all states are known (after calling propagateEvaluateAndInstantiate!(..)).
 """
-function initialStateVector!(eqInfo::EquationInfo, FloatType::Type)::Vector{FloatType}
+function initialStateVector!(eqInfo::EquationInfo, FloatType::Type, isFirstSegment::Bool, x_terminate)::Vector{FloatType}
     @assert(eqInfo.status == EquationInfo_Initialized_Before_All_States_Are_Known)
     nx_info_fixedLength = eqInfo.nx_info_fixedLength
     x_info = eqInfo.x_info
@@ -770,7 +770,7 @@ function initialStateVector!(eqInfo::EquationInfo, FloatType::Type)::Vector{Floa
             xi_info.scalar = true
         end
     end
-    
+
     # Set startIndex for invariant states where the size was not fixed before code generation
     for i = nx_info_fixedLength+1:eqInfo.nx_info_invariant
         xi_info = x_info[i]
@@ -792,31 +792,51 @@ function initialStateVector!(eqInfo::EquationInfo, FloatType::Type)::Vector{Floa
 
     # Construct x_start
     x_start = zeros(FloatType, eqInfo.nx)
-    startIndex = 1
-    for xe_info in eqInfo.x_info
-        if xe_info.scalar
-            @assert(length(xe_info.startOrInit) == 1)
-            x_start[startIndex] = FloatType(ustrip(xe_info.startOrInit))
-            startIndex += 1
-        else
-            xe_start = Vector{FloatType}(ustrip(xe_info.startOrInit))
-            @assert(length(xe_start) == xe_info.length)
-            copyto!(x_start, startIndex, xe_start, 1, length(xe_start))
-            startIndex += length(xe_start)
+    if isFirstSegment
+        startIndex = 1
+        for xe_info in x_info
+            if xe_info.scalar
+                @assert(length(xe_info.startOrInit) == 1)
+                x_start[startIndex] = FloatType(ustrip(xe_info.startOrInit))
+                startIndex += 1
+            else
+                xe_start = Vector{FloatType}(ustrip(xe_info.startOrInit))
+                @assert(length(xe_start) == xe_info.length)
+                copyto!(x_start, startIndex, xe_start, 1, length(xe_start))
+                startIndex += length(xe_start)
+            end
+        end
+    else
+        for i in 1:eqInfo.nxInvariant
+            x_start[i] = x_terminate[i]
+        end
+        startIndex = eqInfo.nxInvariant+1
+        for i = eqInfo.nx_info_invariant+1:length(x_info)
+            xe_info = x_info[i]
+            if xe_info.scalar
+                @assert(length(xe_info.startOrInit) == 1)
+                x_start[startIndex] = FloatType(ustrip(xe_info.startOrInit))
+                startIndex += 1
+            else
+                xe_start = Vector{FloatType}(ustrip(xe_info.startOrInit))
+                @assert(length(xe_start) == xe_info.length)
+                copyto!(x_start, startIndex, xe_start, 1, length(xe_start))
+                startIndex += length(xe_start)
+            end
         end
     end
 
     @assert(eqInfo.nx == startIndex - 1)
     eqInfo.status = EquationInfo_After_All_States_Are_Known
-    
+
     # Final check
     for (i, xi_info) = enumerate(eqInfo.x_info)
         @assert(xi_info.startIndex > 0)
         if i <= eqInfo.nx_info_invariant
             @assert(xi_info.x_segmented_startIndex == -1)
         else
             @assert(xi_info.x_segmented_startIndex > 0)
-        end 
+        end
     end
     return x_start
 end

src/EvaluateParameters.jl

@@ -18,6 +18,8 @@ function getConstructorAsString(path, constructor, parameters):String
             end
             if typeof(value) == Symbol
                 svalue = ":" * string(value)
+            elseif typeof(value) == String
+                svalue = value
             elseif typeof(value) <: AbstractDict
                 svalue = "..."  # Do not show dictionaries, since too much output, especially due to pointers to Object3Ds
             else

src/Modia.jl

@@ -9,8 +9,8 @@ Main module of Modia.
 module Modia
 
 const path = dirname(dirname(@__FILE__))   # Absolute path of package directory
-const Version = "0.9.2"
-const Date = "2022-07-12"
+const Version = "0.9.3"
+const Date = "2022-08-05"
 const modelsPath = joinpath(Modia.path, "models")
 
 print(" \n\nWelcome to ")
@@ -43,11 +43,11 @@ import SignalTables: AvailablePlotPackages
 
 """
     @usingModiaPlot()
-    
+
 Execute `using XXX`, where `XXX` is the Plot package that was activated with `usePlotPackage(plotPackage)`.
 So this is similar to @usingPlotPackage (from SignalTables, that is reexported from Modia).
 
-There is, however, a difference when XXX = "SilentNoPlot": 
+There is, however, a difference when XXX = "SilentNoPlot":
 
 - @usingPlotPackage() executes `using SignalTables.SilentNoPlot` and therefore requires that package `SignalTables` is available in your environment.
 - @usingModiaPlot() executes `using Modia.SignalTables.SilentNoPlot` and therefore requires that package `Modia` is available in your environment.