Added solver configuration interface - #373
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Navigate logical layers of code changes, visualize relationships, and explore their blast radius. WalkthroughTemoa now accepts structured solver configuration with default and extension-specific options. Core and extension solve paths resolve and pass solver options to optimizers. Configuration examples use ChangesSolver configuration and option handling
Priority: ⬇️ Low Estimated code review effort: 3 (Moderate) | ~25 minutes Change: Feature Sequence Diagram(s)sequenceDiagram
participant MyopicSequencer
participant resolve_solver_options
participant solve_instance
participant Optimizer
MyopicSequencer->>resolve_solver_options: pass self.config.solver
resolve_solver_options-->>MyopicSequencer: return resolved options
MyopicSequencer->>solve_instance: pass solver_options
solve_instance->>Optimizer: apply solver options
Suggested reviewers: Merge Risk: 🔵 Low · up to Solver options are now configurable and are redacted before they are displayed. However, an option named Security Architecture ReviewSecurity architecture risk: 🟠 High · up to A newly configurable solver option can contain a credential. The shared masking rule does not recognize “passphrase,” so that value can appear when configuration or resolved options are displayed or logged. The change warrants security review even though some other credential names are masked. Retained concerns
Security review detailsSecurity Blast Radius
Security Findings and Attack Paths
Trust Boundaries and Controls
Hardening Proposals
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 60.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 20 functions across 12 files. (1 skipped: 1 unsupported.)
✨ Finishing Touches🧪 Generate unit tests (beta)
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In `@temoa/extensions/monte_carlo/mc_sequencer.py`:
- Line 99: Update the solver-options logging sinks in the Monte Carlo, MGA,
Morris, and configuration flows so credential values such as Gurobi WLSSecret
are never written to INFO logs; redact sensitive values before logging or log
option names only. Keep the resolved options unchanged for solver use.
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README.mdtemoa/_internal/run_actions.pytemoa/_internal/temoa_sequencer.pytemoa/core/config.pytemoa/core/solver_spec.pytemoa/extensions/method_of_morris/morris.pytemoa/extensions/method_of_morris/morris_evaluate.pytemoa/extensions/method_of_morris/morris_sequencer.pytemoa/extensions/modeling_to_generate_alternatives/MGA_solver_options.tomltemoa/extensions/modeling_to_generate_alternatives/mga_sequencer.pytemoa/extensions/monte_carlo/MC_solver_options.tomltemoa/extensions/monte_carlo/mc_sequencer.pytemoa/extensions/myopic/myopic_sequencer.pytemoa/extensions/single_vector_mga/sv_mga_sequencer.pytemoa/extensions/stochastics/stochastic_sequencer.pytemoa/tutorial_assets/config_sample.toml
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Inline comments:
In `@temoa/core/solver_spec.py`:
- Line 76: Add `token` to `_SENSITIVE_OPTION_MARKERS` so `redact_solver_options`
masks token-valued solver options before they appear in `TemoaConfig.__repr__`
or extension INFO logs; leave other redaction behavior unchanged.
In `@temoa/tutorial_assets/config_sample.toml`:
- Line 80: Update the sample solver setting to use appsi_highs so the tutorial
runs with base dependencies, and show gurobi only in the commented
structured-solver example.
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temoa/core/config.pytemoa/core/solver_spec.pytemoa/extensions/method_of_morris/morris_sequencer.pytemoa/extensions/modeling_to_generate_alternatives/mga_sequencer.pytemoa/extensions/monte_carlo/mc_sequencer.pytemoa/tutorial_assets/config_sample.toml
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| DEFAULT_SOLVER_OPTIONS: dict[str, dict[str, Any]] = { | ||
| 'cplex': { | ||
| 'lpmethod': 4, # barrier | ||
| 'solutiontype': 2, # non basic solution, ie no crossover | ||
| 'barrier convergetol': 1.0e-3, | ||
| 'feasopt tolerance': 1.0e-4, | ||
| }, | ||
| 'gurobi': { | ||
| 'Method': 2, # barrier | ||
| 'Crossover': 0, # non basic solution, ie no crossover | ||
| 'BarConvTol': 1.0e-3, | ||
| 'FeasibilityTol': 1.0e-4, | ||
| 'BarOrder': -1, # auto ordering; 2-4x faster than AMD on large models | ||
| }, | ||
| } |
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Just highlighting that here are the default options, which are the same as the current code
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- 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @temoa/core/solver_spec.py:
- Line 76: Add `passphrase` to `_SENSITIVE_OPTION_MARKERS` so
`redact_solver_options` masks passphrase values before they can appear in
`TemoaConfig.__repr__`.
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temoa/core/solver_spec.pytemoa/tutorial_assets/config_sample.toml
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This PR extends the solver interface for the configuration file in two major ways:
These changes do not break current workflows as
solver_name(which is replaced bysolver) still works and uses the existing defaults. The code changes touch several files, but with minor adjustments in each case.As suggested by coderabbit, secrets passed through the options are redacted before they go into the logs
Summary of changes
The config now accepts a
solverkey, which can be a solver name or a table with anameand anoptionstable. Any solver available through Pyomo'sSolverFactoryis supported. Solvers without Temoa defaults simply receive whatever options you pass. Options are merged in layers, where later layers win: Temoa defaults, then[solver.options], then extension-specific options (the MGA, MC and Morris TOMLs and the stochastic config). The existing gurobi and cplex defaults moved out ofsolve_instanceintoDEFAULT_SOLVER_OPTIONSintemoa/core/solver_spec.py, and their values are unchanged.Every solve path now respects
[solver.options]: the main solve, myopic, SV-MGA, Morris, the MGA base solve and workers, the MC workers, and stochastic. Morris's options TOML is now actually applied; it was previously loaded but never used. Existing configs behave the same. Paths that never used Temoa defaults (the MGA base solve and stochastic) still don't, and the bundled MGA and MC option files now state values explicitly so that worker options come out the same as before.solver_nameis deprecated but still accepted. It logs a warning when used in a TOML file and raises aDeprecationWarningwhen passed toTemoaConfig(...). Setting bothsolverandsolver_nameis an error.config.solver_namestill works as a shorthand forconfig.solver.name.Examples
1. Solver name only. Same as the old
solver_name = "gurobi", using Temoa's defaults:2. Name plus options. These are merged over the defaults for every solve:
3. How the layers combine in an MGA run (with the config from example 2):
BarConvTol=1e-5, Threads=8(only[solver.options], no defaults)Method=2, Crossover=0, FeasibilityTol=1e-4, BarOrder=-1, plusBarConvTol=0.01, Threads=20from the MGA file, plus any other keys fromMGA_solver_options.tomlThe same layering applies to the Monte Carlo workers, Morris, and the stochastic
solver_options. The stochastic path doesn't include Temoa's defaults.Summary by CodeRabbit
solverand show how to specify options. The oldersolver_namesetting remains supported but is deprecated.