feat: dump more variable metadata

Author: AayushSabharwal

src/systems/abstractsystem.jl

@@ -2625,12 +2625,22 @@ See also: [`ModelingToolkit.dump_variable_metadata`](@ref), [`ModelingToolkit.du
 """
 function dump_parameters(sys::AbstractSystem)
     defs = defaults(sys)
-    map(dump_variable_metadata.(parameters(sys))) do meta
+    pdeps = parameter_dependencies(sys)
+    metas = map(dump_variable_metadata.(parameters(sys))) do meta
         if haskey(defs, meta.var)
             meta = merge(meta, (; default = defs[meta.var]))
         end
         meta
     end
+    pdep_metas = map(collect(keys(pdeps))) do sym
+        val = pdeps[sym]
+        meta = dump_variable_metadata(sym)
+        meta = merge(meta,
+            (; dependency = pdeps[sym],
+                default = symbolic_evaluate(pdeps[sym], merge(defs, pdeps))))
+        return meta
+    end
+    return vcat(metas, pdep_metas)
 end
 
 """

src/variables.jl

@@ -47,6 +47,7 @@ function dump_variable_metadata(var)
     if desc == ""
         desc = nothing
     end
+    default = hasdefault(uvar) ? getdefault(uvar) : nothing
     guess = getguess(uvar)
     disturbance = isdisturbance(uvar) || nothing
     tunable = istunable(uvar, isparameter(uvar))
@@ -72,7 +73,8 @@ function dump_variable_metadata(var)
         disturbance,
         tunable,
         dist,
-        type
+        type,
+        default
     )
 
     return NamedTuple(k => v for (k, v) in pairs(meta) if v !== nothing)

test/test_variable_metadata.jl

@@ -16,6 +16,12 @@ using ModelingToolkit
 @test hasguess(y) === true
 @test ModelingToolkit.dump_variable_metadata(y).guess == 0
 
+# Default
+@variables y = 0
+@test ModelingToolkit.getdefault(y) === 0
+@test ModelingToolkit.hasdefault(y) === true
+@test ModelingToolkit.dump_variable_metadata(y).default == 0
+
 # Issue#2653
 @variables y[1:3] [guess = ones(3)]
 @test getguess(y) == ones(3)
@@ -124,3 +130,15 @@ sp = Set(p)
 @named sys = ODESystem([u ~ p], t)
 
 @test_nowarn show(stdout, "text/plain", sys)
+
+# Defaults overridden by system, parameter dependencies
+@variables x(t) = 1.0
+@parameters p=2.0 q
+@named sys = ODESystem(Equation[], t, [x], [p]; defaults = Dict(x => 2.0, p => 3.0),
+    parameter_dependencies = [q => 2p])
+x_meta = ModelingToolkit.dump_unknowns(sys)[]
+@test x_meta.default == 2.0
+params_meta = ModelingToolkit.dump_parameters(sys)
+params_meta = Dict([ModelingToolkit.getname(meta.var) => meta for meta in params_meta])
+@test params_meta[:p].default == 3.0
+@test isequal(params_meta[:q].dependency, 2p)