Initial implementation

src/infospace_bench/viability.py

@@ -0,0 +1,43 @@
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+from .models import ViabilityThreshold
+
+
+@dataclass(frozen=True)
+class ViabilityResult:
+    metric: str
+    value: float | None
+    threshold: ViabilityThreshold
+    passed: bool
+
+
+@dataclass(frozen=True)
+class ViabilityReport:
+    passed: bool
+    results: dict[str, ViabilityResult]
+
+
+def evaluate_viability(
+    metrics: dict[str, float],
+    thresholds: dict[str, ViabilityThreshold],
+) -> ViabilityReport:
+    results: dict[str, ViabilityResult] = {}
+    for name, threshold in thresholds.items():
+        value = metrics.get(name)
+        passed = value is not None
+        if value is not None and threshold.min is not None:
+            passed = passed and value >= threshold.min
+        if value is not None and threshold.max is not None:
+            passed = passed and value <= threshold.max
+        results[name] = ViabilityResult(
+            metric=name,
+            value=value,
+            threshold=threshold,
+            passed=passed,
+        )
+    return ViabilityReport(
+        passed=all(result.passed for result in results.values()),
+        results=results,
+    )