Redesign the PDF report: landscape pages, headers/footers, icon, daily stats

Every report section now gets its own landscape A4 page (or, for
Dagoverzicht, one page per day) via a GlucoseReportPDF(FPDF) subclass
with a real header (section title, report version, insulin/pump/sensor
type from new REPORT_* env vars) and footer (page number, generation
timestamp, Nightscout link) on every page, plus an original SVG icon
in the header — inspired by the LibreView AGP report.

New "Insulineprofiel" PDF section mirrors the dashboard page (basal
bar chart, ISF/carb-ratio segments, DIA). Each Dagoverzicht day now
draws the same basal/bolus/carb/target overlays as the interactive
charts (matplotlib port of the Plotly helpers from #30) plus a new
per-day stats block (reporting.daily_stats: avg/min/max glucose,
total/basal/bolus/SMB insulin, hypo/hyper counts and durations).

Builds on #29 (profile data) and #30 (overlay logic/colors).

pages/8_Export.py

@@ -5,7 +5,12 @@ from auth import require_auth
 from nightscout_client import NightscoutConfigError
 from pdf_export import AVAILABLE_SECTIONS, SECTION_EVENTS, build_report_pdf
 from reporting import HIGH, LOW, VERY_HIGH, VERY_LOW, detect_events, summarize_events
-from ui_common import load_range_data, render_completeness_warning, select_period_days
+from ui_common import (
+    load_profile,
+    load_range_data,
+    render_completeness_warning,
+    select_period_days,
+)
 
 st.set_page_config(page_title="Glucose dashboard — Export", page_icon="📊", layout="wide")
 require_auth()
@@ -17,7 +22,8 @@ start, end, days = select_period_days(default_label="90 dagen")
 sections = st.multiselect("Onderdelen", AVAILABLE_SECTIONS, default=AVAILABLE_SECTIONS)
 
 try:
-    glucose, _treatments = load_range_data(start, end)
+    glucose, treatments = load_range_data(start, end)
+    profile = load_profile()
 except NightscoutConfigError as exc:
     st.error(str(exc))
     st.stop()
@@ -43,7 +49,7 @@ if SECTION_EVENTS in sections:
         events = detect_events(glucose, threshold, direction)
         events_summary[label] = summarize_events(events, days)
 
-pdf_bytes = build_report_pdf(sections, glucose, events_summary, start, end)
+pdf_bytes = build_report_pdf(sections, glucose, events_summary, start, end, treatments=treatments, profile=profile)
 
 st.download_button(
     "Download PDF",