use SciMLLogging for verbose outputs

Author: jClugstor

Project.toml

@@ -1,7 +1,7 @@
 name = "SciMLBase"
 uuid = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
-version = "2.122.0"
 authors = ["Chris Rackauckas <[email protected]> and contributors"]
+version = "2.122.0"
 
 [deps]
 ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
@@ -27,6 +27,7 @@ RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
 RecursiveArrayTools = "731186ca-8d62-57ce-b412-fbd966d074cd"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 RuntimeGeneratedFunctions = "7e49a35a-f44a-4d26-94aa-eba1b4ca6b47"
+SciMLLogging = "a6db7da4-7206-11f0-1eab-35f2a5dbe1d1"
 SciMLOperators = "c0aeaf25-5076-4817-a8d5-81caf7dfa961"
 SciMLPublic = "431bcebd-1456-4ced-9d72-93c2757fff0b"
 SciMLStructures = "53ae85a6-f571-4167-b2af-e1d143709226"
@@ -110,6 +111,7 @@ RecursiveArrayTools = "3.35"
 Reexport = "1"
 ReverseDiff = "1"
 RuntimeGeneratedFunctions = "0.5.12"
+SciMLLogging = "1.3.1"
 SciMLOperators = "1.3"
 SciMLPublic = "1.0.0"
 SciMLStructures = "1.1"

src/integrator_interface.jl

@@ -613,15 +613,13 @@ function check_error(integrator::DEIntegrator)
     # This implementation is intended to be used for ODEIntegrator and
     # SDEIntegrator.
     if isnan(integrator.dt)
-        if verbose
-            @warn("NaN dt detected. Likely a NaN value in the state, parameters, or derivative value caused this outcome.")
-        end
+        @SciMLMessage("NaN dt detected. Likely a NaN value in the state, parameters, or derivative value caused this outcome.", verbose, :dt_NaN)
         return ReturnCode.DtNaN
     end
     if integrator.iter > opts.maxiters
-        if verbose
-            @warn("Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems).")
-        end
+        @SciMLMessage("Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems).",
+            verbose,
+            :max_iters)
         return ReturnCode.MaxIters
     end
 
@@ -637,39 +635,36 @@ function check_error(integrator::DEIntegrator)
            (!step_accepted || (hasproperty(opts, :tstops) ?
              integrator.t + integrator.dt < integrator.tdir * first(opts.tstops) :
              true))
-            if verbose
+            @SciMLMessage(verbose, :dt_min_unstable) do 
                 if isdefined(integrator, :EEst)
                     EEst = ", and step error estimate = $(integrator.EEst)"
                 else
                     EEst = ""
                 end
-                @warn("dt($(integrator.dt)) <= dtmin($(opts.dtmin)) at t=$(integrator.t)$EEst. Aborting. There is either an error in your model specification or the true solution is unstable.")
-            end
+                "dt($(integrator.dt)) <= dtmin($(opts.dtmin)) at t=$(integrator.t)$EEst. Aborting. There is either an error in your model specification or the true solution is unstable."
+            end 
             return ReturnCode.DtLessThanMin
         elseif !step_accepted && integrator.t isa AbstractFloat &&
                abs(integrator.dt) <= abs(eps(integrator.t))
-            if verbose
+            
+            @SciMLMessage(verbose, :dt_epsilon) do 
                 if isdefined(integrator, :EEst)
                     EEst = ", and step error estimate = $(integrator.EEst)"
                 else
                     EEst = ""
                 end
-                @warn("At t=$(integrator.t), dt was forced below floating point epsilon $(integrator.dt)$EEst. Aborting. There is either an error in your model specification or the true solution is unstable (or the true solution can not be represented in the precision of $(eltype(integrator.u))).")
+                "At t=$(integrator.t), dt was forced below floating point epsilon $(integrator.dt)$EEst. Aborting. There is either an error in your model specification or the true solution is unstable (or the true solution can not be represented in the precision of $(eltype(integrator.u)))."
             end
             return ReturnCode.Unstable
         end
     end
     if step_accepted &&
        opts.unstable_check(integrator.dt, integrator.u, integrator.p, integrator.t)
-        if verbose
-            @warn("Instability detected. Aborting")
-        end
+        @SciMLMessage("Instability detected. Aborting", verbose, :instability)
         return ReturnCode.Unstable
     end
     if last_step_failed(integrator)
-        if verbose
-            @warn("Newton steps could not converge and algorithm is not adaptive. Use a lower dt.")
-        end
+        @SciMLMessage("Newton steps could not converge and algorithm is not adaptive. Use a lower dt.", verbose, :newton_convergence)
         return ReturnCode.ConvergenceFailure
     end
     return ReturnCode.Success