| """Experiment manager — tracks runs with full provenance.""" | |
| from __future__ import annotations | |
| import json | |
| from datetime import datetime, timezone | |
| from pathlib import Path | |
| from typing import Any | |
| from optos.constants import ENGINE_VERSION | |
| from optos.engine import OptimizationEngine | |
| from optos.models import ExperimentRun | |
| class ExperimentManager: | |
| def __init__(self, time_limit_sec: float = 15.0) -> None: | |
| self.engine = OptimizationEngine(time_limit_sec) | |
| self._history: list[ExperimentRun] = [] | |
| def run( | |
| self, | |
| problem_type: str, | |
| size: str = "medium", | |
| seed: int = 42, | |
| time_limit: float | None = None, | |
| constraints: dict[str, Any] | None = None, | |
| objectives: dict[str, Any] | None = None, | |
| ) -> ExperimentRun: | |
| experiment = self.engine.run_experiment( | |
| problem_type, size, seed, time_limit, constraints, objectives, | |
| ) | |
| self._history.append(experiment) | |
| return experiment | |
| def history(self) -> list[ExperimentRun]: | |
| return list(self._history) | |
| def export_run(self, run: ExperimentRun) -> dict[str, Any]: | |
| return { | |
| "exported_at": datetime.now(timezone.utc).isoformat(), | |
| "engine_version": ENGINE_VERSION, | |
| "run": run.to_dict(), | |
| } | |
| def save_run(self, run: ExperimentRun, path: Path) -> None: | |
| path.write_text(json.dumps(self.export_run(run), indent=2), encoding="utf-8") | |
| def summary_table(self) -> list[dict[str, Any]]: | |
| rows = [] | |
| for run in self._history: | |
| for r in run.results: | |
| rows.append({ | |
| "run_id": run.run_id, | |
| "problem_type": run.instance.problem_type, | |
| "size": run.instance.size, | |
| "method": r.method_label, | |
| "category": r.method_category, | |
| "objective": r.metrics.objective_value, | |
| "gap_pct": r.metrics.optimality_gap, | |
| "time_sec": r.metrics.elapsed_time_sec, | |
| "feasible": r.metrics.feasible, | |
| "winner": r.method_id == run.winner, | |
| }) | |
| return rows | |