willemjanandClaude Sonnet 5
fe6a471f17
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]>
53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
import requests
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import streamlit as st
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from auth import require_auth
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from nightscout_client import NightscoutConfigError
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from pdf_export import AVAILABLE_SECTIONS, SECTION_EVENTS, build_report_pdf
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from reporting import HIGH, LOW, VERY_HIGH, VERY_LOW, detect_events, summarize_events
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from ui_common import load_range_data, select_period_days
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st.set_page_config(page_title="Glucose dashboard — Export", page_icon="📊", layout="wide")
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require_auth()
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st.title("Export")
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st.caption("Stel een PDF-rapport samen om naar het diabetesteam te sturen (FR10).")
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start, end, days = select_period_days(default_label="90 dagen")
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sections = st.multiselect("Onderdelen", AVAILABLE_SECTIONS, default=AVAILABLE_SECTIONS)
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try:
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glucose, _treatments = load_range_data(start, end)
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except NightscoutConfigError as exc:
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st.error(str(exc))
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st.stop()
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except (requests.RequestException, ValueError) as exc:
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st.error(f"Kon geen data ophalen van Nightscout: {exc}")
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st.stop()
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if glucose.empty:
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st.info("Geen glucosemetingen gevonden in deze periode.")
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st.stop()
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events_summary = {}
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if SECTION_EVENTS in sections:
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levels = {
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f"Hypo Level 1 (<{LOW})": (LOW, "below"),
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f"Hypo Level 2 (<{VERY_LOW})": (VERY_LOW, "below"),
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f"Hyper Level 1 (>{HIGH})": (HIGH, "above"),
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f"Hyper Level 2 (>{VERY_HIGH})": (VERY_HIGH, "above"),
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}
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for label, (threshold, direction) in levels.items():
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events = detect_events(glucose, threshold, direction)
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events_summary[label] = summarize_events(events, days)
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pdf_bytes = build_report_pdf(sections, glucose, events_summary, start, end)
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st.download_button(
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"Download PDF",
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data=pdf_bytes,
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file_name=f"glucoserapport_{start.strftime('%Y%m%d')}_{end.strftime('%Y%m%d')}.pdf",
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mime="application/pdf",
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)
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st.caption(f"Periode: {start.strftime('%d-%m-%Y')} t/m {end.strftime('%d-%m-%Y')}")
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