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]>
reporting.py gains overnight_daytime_split, day_of_week_pattern,
bolus_stats, and site_interval_stats. The last two are explicitly scoped
to bolus-only insulin (no basal reconstruction) since that needs the
Nightscout profile, which is the separate profile-tuning feature's
territory — documented as a caveat in both the UI and the design doc.
Co-Authored-By: Claude Sonnet 5 <[email protected]>
Wires reporting.py's stats into two new pages: a summary panel (data
completeness, GMI, %CV, 5-band time-in-range vs. consensus targets) and
the standard AGP percentile chart (5th-95th and 25th-75th bands plus
median, aggregated by time-of-day across the selected period).
Co-Authored-By: Claude Sonnet 5 <[email protected]>
First increment of the clinical reporting feature (see
docs/requirements-reporting.md and docs/design-reporting.md): moves the
existing live view to pages/1_Live.py, adds a password gate since the
dashboard URL will be shared with the diabetes team, adds
fetch_entries_range/fetch_treatments_range for multi-day report queries,
and adds reporting.py with the core clinical calculations (GMI, %CV,
5-band time-in-range, hypo/hyper event detection per the Battelino et al.
2019 persistence rule). No report pages wired up yet — that's next.
Co-Authored-By: Claude Sonnet 5 <[email protected]>
willemjanandClaude Sonnet 5