Fix handling of results with unknown timestamps

src/core/results_by_time.jl

@@ -1,4 +1,4 @@
-struct ResultsByTime{T}
+mutable struct ResultsByTime{T}
     key::OptimizationContainerKey
     data::SortedDict{Dates.DateTime, T}
     resolution::Dates.Period
@@ -51,9 +51,16 @@ function _add_timestamps!(
     timestamp::Dates.DateTime,
     data,
 )
-    time_col =
-        range(timestamp; length = get_num_rows(results, data), step = results.resolution)
-    DataFrames.insertcols!(df, 1, :DateTime => time_col)
+    if results.resolution != Dates.Period(Dates.Millisecond(0))
+        time_col =
+            range(
+                timestamp;
+                length = get_num_rows(results, data),
+                step = results.resolution,
+            )
+        DataFrames.insertcols!(df, 1, :DateTime => time_col)
+    end
+    return
 end
 
 function make_dataframe(

src/simulation/decision_model_simulation_results.jl

@@ -138,6 +138,7 @@
         Dict{OptimizationContainerKey, ResultsByTime{DenseAxisArray{Float64, 2}}}()
     model_name = Symbol(get_model_name(sim_results))
     resolution = get_resolution(sim_results)
+    horizon = get_forecast_horizon(sim_results)
 
     for key in container_keys
         results_by_time = ResultsByTime(
@@ -146,11 +147,24 @@
             resolution,
             get_column_names(store, DecisionModelIndexType, model_name, key),
         )
+        array_size::Union{Nothing, Tuple{Int, Int}} = nothing
         for ts in timestamps
             array = read_result(DenseAxisArray, store, model_name, key, ts)
+            if isnothing(array_size)
+                array_size = size(array)
+            elseif size(array) != array_size
+                error(
+                    "Arrays for $(encode_key_as_string(key)) at different timestamps have different sizes",
+                )
+            end
             if convert_result_to_natural_units(key)
                 array.data .*= base_power
             end
+            if array_size[2] != horizon
+                @warn "$(encode_key_as_string(key)) has a different horizon than the " *
+                      "problem specification. Can't assign timestamps to the resulting DataFrame."
+                results_by_time.resolution = Dates.Period(Dates.Millisecond(0))
+            end
             results_by_time[ts] = array
         end
         results_by_key[key] = results_by_time

test/Project.toml

@@ -21,6 +21,7 @@ PowerSimulations = "e690365d-45e2-57bb-ac84-44ba829e73c4"
 PowerSystemCaseBuilder = "f00506e0-b84f-492a-93c2-c0a9afc4364e"
 PowerSystems = "bcd98974-b02a-5e2f-9ee0-a103f5c450dd"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
 SCS = "c946c3f1-0d1f-5ce8-9dea-7daa1f7e2d13"
 Serialization = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"