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.

pages/7_Trends.py

@@ -6,6 +6,7 @@ from auth import require_auth
 from data_processing import classify_treatments
 from nightscout_client import NightscoutConfigError
 from reporting import (
+    basal_stats,
     bolus_stats,
     day_of_week_pattern,
     gmi_percent,
@@ -93,18 +94,25 @@ if not weekday_plot.empty:
     )
     st.plotly_chart(fig, width="stretch")
 
-# --- FR8: bolus-insuline --------------------------------------------------
-st.subheader("Bolus-insuline")
+# --- FR8: insuline (basaal + bolus-uitsplitsing) ---------------------------
+st.subheader("Insuline")
 st.caption(
-    "Alleen bolusinsuline (maaltijd/correctie/combo/SMB) — basaalinsuline vereist "
-    "profielgegevens en is hier niet in verwerkt (zie docs/design-reporting.md)."
+    "Basaal berekend uit Temp Basal-treatments (snelheid x duur), zonder pompprofiel "
+    "nodig — een ondergrens bij periodes zonder actieve temp basal. Boluses "
+    "opgesplitst naar voeding, handmatige correctie en automatische SMB-microbolus "
+    "(gitea #20)."
 )
 bolus = bolus_stats(treatments)
-col1, col2 = st.columns(2)
-col1.metric("Totaal bolus", f"{bolus['total_units']:.1f} E")
-col2.metric("Aantal boluses", bolus["count"])
-if bolus["by_type"]:
-    st.table({"type": list(bolus["by_type"].keys()), "eenheden": list(bolus["by_type"].values())})
+basal = basal_stats(treatments, days)
+total_units = bolus["total_units"] + basal["total_units"]
+col1, col2, col3 = st.columns(3)
+col1.metric("Totaal insuline", f"{total_units:.1f} E")
+col2.metric("Gem. per dag", f"{total_units / days:.1f} E")
+col3.metric("Aantal boluses", bolus["count"])
+
+breakdown = {"Basaal": basal["total_units"], **bolus["by_type"]}
+if any(breakdown.values()):
+    st.table({"Categorie": list(breakdown.keys()), "Eenheden": list(breakdown.values())})
 
 # --- FR8: pompsite-leeftijd vs. glucose/insuline ---------------------------
 st.subheader("Pompsite-leeftijd vs. glucose en insuline")