add PDF export (FR10)

pdf_export.py builds a PDF report (summary stats, AGP chart, hypo/hyper event summaries) via fpdf2 + matplotlib rather than plotly's kaleido, to avoid bundling a Chromium build into the image just for this. The Export page lets the user pick which sections to include and a date range, then download the result to send to the hospital team. This completes all ten functional requirements in docs/requirements-reporting.md. Co-Authored-By: Claude Sonnet 5 <[email protected]>
2026-07-26 21:10:46 +02:00
parent 9929f44daa
commit fe6a471f17
4 changed files with 229 additions and 0 deletions
@@ -0,0 +1,52 @@
+import requests
+import streamlit as st
+
+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, select_period_days
+
+st.set_page_config(page_title="Glucose dashboard — Export", page_icon="📊", layout="wide")
+require_auth()
+
+st.title("Export")
+st.caption("Stel een PDF-rapport samen om naar het diabetesteam te sturen (FR10).")
+
+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)
+except NightscoutConfigError as exc:
+    st.error(str(exc))
+    st.stop()
+except (requests.RequestException, ValueError) as exc:
+    st.error(f"Kon geen data ophalen van Nightscout: {exc}")
+    st.stop()
+
+if glucose.empty:
+    st.info("Geen glucosemetingen gevonden in deze periode.")
+    st.stop()
+
+events_summary = {}
+if SECTION_EVENTS in sections:
+    levels = {
+        f"Hypo Level 1 (<{LOW})": (LOW, "below"),
+        f"Hypo Level 2 (<{VERY_LOW})": (VERY_LOW, "below"),
+        f"Hyper Level 1 (>{HIGH})": (HIGH, "above"),
+        f"Hyper Level 2 (>{VERY_HIGH})": (VERY_HIGH, "above"),
+    }
+    for label, (threshold, direction) in levels.items():
+        events = detect_events(glucose, threshold, direction)
+        events_summary[label] = summarize_events(events, days)
+
+pdf_bytes = build_report_pdf(sections, glucose, events_summary, start, end)
+
+st.download_button(
+    "Download PDF",
+    data=pdf_bytes,
+    file_name=f"glucoserapport_{start.strftime('%Y%m%d')}_{end.strftime('%Y%m%d')}.pdf",
+    mime="application/pdf",
+)
+st.caption(f"Periode: {start.strftime('%d-%m-%Y')} t/m {end.strftime('%d-%m-%Y')}")