Implement DDS exercise, customer UI and local demo

backend/tests/test_score_weights.py

@@ -0,0 +1,39 @@
+"""Веса метрик настраиваются сценарием и не меняют факт проверки."""
+
+from pathlib import Path
+
+import pytest
+from pydantic import ValidationError
+
+from app.domain.events import Metric
+from app.scenarios.loader import load_file
+from app.scenarios.schema import Scenario
+from app.scoring.gost import GostResult
+from app.scoring.weights import apply_weights
+
+
+LIBRARY = Path(__file__).resolve().parents[2] / "scenarios"
+
+
+def test_weight_override_changes_score_but_not_findings():
+    result = GostResult(metrics=[
+        Metric(key="address", title="Адрес", fact="пусто", norm="заполнен", passed=False, weight=2),
+        Metric(key="required_fields", title="Поля", fact="есть", norm="есть", passed=True, weight=2),
+    ])
+    assert result.score == 50.0
+    apply_weights(result, {"address": 6.0})
+    assert result.score == 25.0
+    assert result.metrics[0].fact == "пусто"
+
+
+def test_scenario_accepts_only_known_finite_weights():
+    source = load_file(LIBRARY / "fire-apartment-l2.yaml", LIBRARY)
+    body = source.model_dump(mode="json")
+    body["score_weights"] = {"address": 3.0, "dds_ack": 0.0}
+    assert Scenario.model_validate(body).score_weights["address"] == 3.0
+    body["score_weights"] = {"typo": 3.0}
+    with pytest.raises(ValidationError, match="неизвестные метрики"):
+        Scenario.model_validate(body)
+    body["score_weights"] = {"address": 11.0}
+    with pytest.raises(ValidationError, match="от 0 до 10"):
+        Scenario.model_validate(body)