Fix bolus/basal insulin categorization: split SMB from manual corrections, add basal calc

AndroidAPS records an automatic SMB micro-bolus as eventType "Correction
Bolus" with type "SMB", not as its own eventType. bolus_stats() was
grouping by eventType alone, so every SMB was silently counted as a manual
correction bolus. Verified against production data: 100% of "Correction
Bolus" treatments over 90 days were actually type=SMB.

Also adds basal_stats(), computing delivered basal directly from Temp
Basal treatments (rate x duration) without needing the pump profile.

Closes gitea #20.

tests/test_nightscout_client.py

@@ -90,6 +90,38 @@ def test_fetch_treatments_fills_missing_columns(monkeypatch):
     assert result.iloc[0]["eventType"] == "Site Change"
     assert pd_isna(result.iloc[0]["insulin"])
     assert pd_isna(result.iloc[0]["carbs"])
+    assert result.iloc[0]["type"] == ""
+    assert pd_isna(result.iloc[0]["absolute"])
+    assert pd_isna(result.iloc[0]["duration"])
+
+
+def test_fetch_treatments_passes_through_type_and_temp_basal_fields(monkeypatch):
+    """SMB-classificatie (reporting.bolus_stats) en basaalberekening
+    (reporting.basal_stats) hebben deze velden nodig — zie gitea #20."""
+    monkeypatch.setenv("NIGHTSCOUT_URL", "https://example.com")
+    now = datetime.now(timezone.utc)
+    payload = [
+        {
+            "created_at": now.isoformat(),
+            "eventType": "Correction Bolus",
+            "insulin": 0.5,
+            "type": "SMB",
+        },
+        {
+            "created_at": now.isoformat(),
+            "eventType": "Temp Basal",
+            "absolute": 1.2,
+            "duration": 30,
+        },
+    ]
+    monkeypatch.setattr(ns.requests, "get", lambda *a, **k: FakeResponse(payload))
+
+    result = ns.fetch_treatments(hours=24)
+    smb_row = result[result["eventType"] == "Correction Bolus"].iloc[0]
+    basal_row = result[result["eventType"] == "Temp Basal"].iloc[0]
+    assert smb_row["type"] == "SMB"
+    assert basal_row["absolute"] == pytest.approx(1.2)
+    assert basal_row["duration"] == pytest.approx(30)
 
 
 def pd_isna(value):