InfrastructureSystems.jl Add informative error messages for time series with non-concrete element types

[x] Understand the issue and codebase structure
[x] Add catchall methods for transform_array_for_hdf that provide informative error messages
[x] Add tests to verify the error messages are informative
[x] Verify existing functionality still works correctly
[x] Address code review feedback - use mixed types in tests
[x] Run formatter and verify code style
[x] Get code review
[x] Address @jd-lara's feedback (comment 3488011724):
- Added TRANSFORM_ARRAY_FOR_HDF_SUPPORTED_ELTYPES constant with all supported element types
- Updated error messages to list supported types from the constant
- Enhanced second error message to explicitly mention implementing specific methods for unsupported types
[x] Address @jd-lara's feedback (comment 3488046189):
- Added validation check in Deterministic constructor in deterministic.jl
- Validates data types after convert_data() but before normalization
- Catches unsupported types early during Deterministic creation
- Added is_transform_array_for_hdf_supported() and validate_time_series_data_for_hdf() helper functions
- Added tests to verify early validation works correctly
[x] Address @jd-lara's feedback (comment 3488078327):
- Refactored is_transform_array_for_hdf_supported() to use multiple dispatch instead of if-else chains
- More Julian approach with separate methods for each supported type
- Catchall method for unsupported types
[x] Address @jd-lara's feedback (comment 2492100980):
- Changed fallback validate_time_series_data_for_hdf to throw error instead of returning nothing
- Deterministic doesn't support arbitrary SortedDict types
- Added test to verify the error is thrown for unsupported SortedDict structures
[x] Address @jd-lara's feedback (comment 3418772424):
- Adjusted tests to match updated error messages in utils.jl
- Removed check for "you need to implement" text from Deterministic constructor test
- Error messages were simplified and reformatted

Summary: Users now get comprehensive error messages that explain the problem, list all supported types, provide clear guidance on how to add support for new types, and errors are caught earlier in the workflow during Deterministic creation rather than during serialization. The implementation uses idiomatic Julia multiple dispatch and properly rejects unsupported data structures. Tests now match the updated error messages.

Original prompt

This section details on the original issue you should resolve

<issue_title>More informative error when adding time series</issue_title> <issue_description>A user reported this error

ERROR: LoadError: MethodError: no method matching transform_array_for_hdf(::SortedDict{DateTime, Vector, Base.Order.ForwardOrdering})

Closest candidates are:
  transform_array_for_hdf(::Vector{LinearFunctionData})
   @ InfrastructureSystems ~/.julia/packages/InfrastructureSystems/LEg3t/src/function_data.jl:29
  transform_array_for_hdf(::Vector{QuadraticFunctionData})
   @ InfrastructureSystems ~/.julia/packages/InfrastructureSystems/LEg3t/src/function_data.jl:78
  transform_array_for_hdf(::Vector{PiecewiseLinearData})
   @ InfrastructureSystems ~/.julia/packages/InfrastructureSystems/LEg3t/src/function_data.jl:190
  ...

Stacktrace:
  [1] get_array_for_hdf(forecast::Deterministic)
    @ InfrastructureSystems ~/.julia/packages/InfrastructureSystems/LEg3t/src/deterministic.jl:262
  [2] _serialize_time_series!(storage::InfrastructureSystems.Hdf5TimeSeriesStorage, ts::Deterministic, file::HDF5.File)
    @ InfrastructureSystems ~/.julia/packages/InfrastructureSystems/LEg3t/src/hdf5_time_series_storage.jl:240
  [3] NREL-Sienna/InfrastructureSystems.jl#188
    @ ~/.julia/packages/InfrastructureSystems/LEg3t/src/hdf5_time_series_storage.jl:225 [inlined]
  [4] (::HDF5.var"#17#18"{HDF5.HDF5Context, @Kwargs{}, InfrastructureSystems.var"#188#189"{InfrastructureSystems.Hdf5TimeSeriesStorage, Deterministic}, HDF5.File})()
    @ HDF5 ~/.julia/packages/HDF5/Z859u/src/file.jl:101
  [5] task_local_storage(body::HDF5.var"#17#18"{HDF5.HDF5Context, @Kwargs{}, InfrastructureSystems.var"#188#189"{…}, HDF5.File}, key::Symbol, val::HDF5.HDF5Context)
    @ Base ./task.jl:304
  [6] #h5open#16
    @ ~/.julia/packages/HDF5/Z859u/src/file.jl:96 [inlined]
  [7] h5open
    @ ~/.julia/packages/HDF5/Z859u/src/file.jl:94 [inlined]
  [8] _serialize_time_series!
    @ ~/.julia/packages/InfrastructureSystems/LEg3t/src/hdf5_time_series_storage.jl:224 [inlined]
  [9] serialize_time_series!
    @ ~/.julia/packages/InfrastructureSystems/LEg3t/src/hdf5_time_series_storage.jl:215 [inlined]
 [10] add_time_series!(mgr::InfrastructureSystems.TimeSeriesManager, owner::RenewableDispatch, time_series::Deterministic; features::@Kwargs{})
    @ InfrastructureSystems ~/.julia/packages/InfrastructureSystems/LEg3t/src/time_series_manager.jl:155
 [11] add_time_series!
    @ ~/.julia/packages/InfrastructureSystems/LEg3t/src/time_series_manager.jl:122 [inlined]
 [12] #add_time_series!#414
    @ ~/.julia/packages/InfrastructureSystems/LEg3t/src/system_data.jl:199 [inlined]
 [13] add_time_series!
    @ ~/.julia/packages/InfrastructureSystems/LEg3t/src/system_data.jl:192 [inlined]
 [14] #add_time_series!#226
    @ ~/.julia/packages/PowerSystems/AHyDB/src/base.jl:1392 [inlined]
 [15] add_time_series!(sys::System, component::RenewableDispatch, time_series::Deterministic)
    @ PowerSystems ~/.julia/packages/PowerSystems/AHyDB/src/base.jl:1386

from the stack trace looks like the vector is of type any we need a more detailed error that informs the user that IS can't determine the eltype of the vector and can't determine the correct data format to store in the HDF</issue_description>

<agent_instructions>add a method transform_array_for_hdf that dispatches on Vector{T} where T <: Any that informs the user that the conversion can't be determined for type T </agent_instructions>

Comments on the Issue (you are @copilot in this section)

Fixes NREL-Sienna/InfrastructureSystems.jl#503

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Nov 04 '25 19:11 Copilot

Codecov Report

:x: Patch coverage is 65.78947% with 13 lines in your changes missing coverage. Please review. :white_check_mark: Project coverage is 80.28%. Comparing base (5eab57e) to head (694c7cc). :warning: Report is 2 commits behind head on main.

Files with missing lines	Patch %	Lines
src/utils/utils.jl	58.06%	13 Missing :warning:

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #504      +/-   ##
==========================================
+ Coverage   79.40%   80.28%   +0.88%     
==========================================
  Files          71       71              
  Lines        6141     6101      -40     
==========================================
+ Hits         4876     4898      +22     
+ Misses       1265     1203      -62

Flag	Coverage Δ
unittests	`80.28% <65.78%> (+0.88%)`	:arrow_up:

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines	Coverage Δ
src/deterministic.jl	`66.17% <100.00%> (+1.56%)`	:arrow_up:
src/forecasts.jl	`88.60% <100.00%> (+2.53%)`	:arrow_up:
src/utils/utils.jl	`67.67% <58.06%> (-0.54%)`	:arrow_down:

... and 25 files with indirect coverage changes

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@copilot add a constant with the supported eltypes in the vector inputs to communicate to the user which types are supported in the vector and in the second error mention that the specific method for types other than the ones supported needs to be implemented.

Nov 04 '25 21:11 jd-lara

@copilot add a constant with the supported eltypes in the vector inputs to communicate to the user which types are supported in the vector and in the second error mention that the specific method for ...

Done in commit f959c6f.

Added TRANSFORM_ARRAY_FOR_HDF_SUPPORTED_ELTYPES constant listing all supported element types (Real, Tuple, Vector{Tuple}, Matrix, LinearFunctionData, QuadraticFunctionData, PiecewiseLinearData, PiecewiseStepData).

Updated both error messages to:

Reference the constant to show supported types
For unsupported concrete types, explicitly mention: "To use type T, you need to implement a specific transform_array_for_hdf method for it."

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Nov 04 '25 21:11 Copilot

@copilot in addition to the current method in transform_array_for_hdf method add a check in the the constructor for Deterministic in the file deterministic.jl that checks for the supported types in transform_array_for_hdf method and throws an error in the creation of deterministic if the user passes data in the sorted dict that is not supported to catch potential errors earlier in the creation of Deterministic

Nov 04 '25 21:11 jd-lara

@copilot in addition to the current method in transform_array_for_hdf method add a check in the the constructor for Deterministic in the file deterministic.jl that checks for the supported types i...

Done in commit 04d0d41.

Added validation in the Deterministic constructor that checks for supported types early:

Created is_transform_array_for_hdf_supported() function to check if element types are supported
Created validate_time_series_data_for_hdf() function that validates the data and throws informative errors
Modified Deterministic constructor to call validation after convert_data() but before handle_normalization_factor()
Added comprehensive tests to verify the early validation catches both non-concrete types (Vector{Any}) and unsupported concrete types

This catches potential errors during Deterministic creation rather than later during serialization, providing a better user experience.

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Nov 04 '25 21:11 Copilot

@copilot implement is_transform_array_for_hdf_supported using multiple dispatch returning true for the supported types and false for any other, that is a more Julian way to do it than a long list of if-else

Nov 04 '25 21:11 jd-lara

@copilot implement is_transform_array_for_hdf_supported using multiple dispatch returning true for the supported types and false for any other, that is a more Julian way to do it than a long list of i...

Done in commit 1866f28.

Refactored is_transform_array_for_hdf_supported() to use multiple dispatch:

Separate method for each supported type (Real, Tuple, Vector{Tuple}, Matrix, LinearFunctionData, QuadraticFunctionData, PiecewiseLinearData, PiecewiseStepData)
Each method checks isconcretetype(T) and returns true/false
Catchall method returns false for unsupported types
Removed the if-else chain for a more Julian implementation

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Nov 04 '25 21:11 Copilot

@copilot adjust the tests to the latest changes I pushed to the file utils.jl

Done in commit 74d6286.

Adjusted the test for unsupported types in the Deterministic constructor to remove the check for "you need to implement" text, which was removed from the validate_time_series_data_for_hdf error message in your latest changes to utils.jl.

Nov 04 '25 22:11 Copilot