Updated charts for glucose data and profile chart

ui_common.py

@@ -14,7 +14,13 @@ import pandas as pd
 import plotly.graph_objects as go
 import streamlit as st
 
-from nightscout_client import fetch_entries_range, fetch_profile, fetch_treatments_range
+from nightscout_client import (
+    fetch_entries_for_day,
+    fetch_entries_range,
+    fetch_profile,
+    fetch_treatments_for_day,
+    fetch_treatments_range,
+)
 from profile_data import parse_profile
 from reporting import (
     HIGH,
@@ -148,6 +154,25 @@ def load_range_data(start: date, end: date):  # pragma: no cover
     return glucose, treatments
 
 
+@st.cache_data(ttl=300, show_spinner="Data ophalen van Nightscout...")
+def load_day_data(day: date):  # pragma: no cover
+    """Gecachete Nightscout-fetch voor precies één kalenderdag (Dagoverzicht-navigatie).
+
+    Kortere TTL dan load_range_data (5 min i.p.v. 1 uur): in tegenstelling tot
+    een afgeronde periode kan de geselecteerde dag "vandaag" zijn, waar
+    nieuwe metingen blijven binnenkomen. fetch_treatments_for_day() haalt
+    zelf een lookback-marge vóór middernacht op zodat effective_basal_series()
+    de vroege ochtenduren correct kan berekenen.
+
+    Dunne st.cache_data-wrapper rond al-geteste fetch_entries_for_day()/
+    fetch_treatments_for_day() — buiten scope van de unit-testdekking net als
+    pages/*.py, zie pyproject.toml se coverage-omit-lijst.
+    """
+    glucose = fetch_entries_for_day(day)
+    treatments = fetch_treatments_for_day(day)
+    return glucose, treatments
+
+
 @st.cache_data(ttl=21600, show_spinner="Profiel ophalen van Nightscout...")
 def load_profile() -> dict:  # pragma: no cover
     """Gecachete profiel-fetch. Langere TTL dan load_range_data (6 uur i.p.v.