test: expand metrics.models tests (roundtrip + basics)

Author: DiogoRibeiro7

tests/test_metrics_models.py

@@ -1,9 +1,35 @@
-import importlib
+from __future__ import annotations
 
+import json
+from dataclasses import asdict
 
-def test_import_metrics_models():
-    mod = importlib.import_module("llm_observability_analytics.metrics.models")
-    assert mod is not None
+from llm_observability_analytics.metrics.models import MetricRecord, AnalyticsSummary
 
 
-# TODO: add numeric helper tests with small sample inputs
+def test_metric_record_basic():
+    mr = MetricRecord(metric_name="latency", metric_value=12.5, dimension_key="service", dimension_value="svc-a")
+    assert mr.metric_name == "latency"
+    assert mr.metric_value == 12.5
+
+
+def test_analytics_summary_roundtrip():
+    s = AnalyticsSummary(
+        request_count=10,
+        retrieval_trace_count=4,
+        latency_mean_ms=100.0,
+        latency_p50_ms=90.0,
+        latency_p95_ms=150.0,
+        total_tokens=1234,
+        average_tokens_per_request=123.4,
+        retrieval_hit_count=3,
+        grounded_response_count=7,
+        ungrounded_response_count=3,
+        feedback_count=2,
+    )
+    d = s.to_dict()
+    assert d["request_count"] == 10
+    # JSON roundtrip
+    j = s.to_json()
+    parsed = json.loads(j)
+    assert parsed == asdict(s)
+