3 Commits
Author SHA1 Message Date
willemjan f2c3f97b1f 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).
2026-09-05 22:44:14 +02:00
willemjan 441bb84212 Add TIR bar/threshold lines, Dagoverzicht charts, and hypo/hyper Level-1 charts to PDF export
Closes gitea #14 (PDF part), #15 (PDF part), #16, #17, #18.
2026-08-01 22:33:45 +02:00
willemjanandClaude Sonnet 5 fe6a471f17 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