feat(core): explainable glucose metrics pack + dashboard patterns - #6
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feat(core): explainable glucose metrics pack + dashboard patterns#6shroominic wants to merge 1 commit into
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Add pure-Dart glucose analytics in cgm_core (glucose_analytics.dart): time-in-range / below / above, average, SD, CV, estimated GMI-style indicator, and spike count over 24h/7d/14d windows with configurable range bounds (default 70-180 mg/dL). Fully unit-tested with synthetic readings. Render these in a new explainable, wellness-framed "Patterns" section on the dashboard (metrics_section.dart) with a timeframe selector, a one-line plain-language explanation per metric, and unit-pref-aware formatting. Edits to main.dart are minimal and clearly delimited. Wellness/self-experimentation framing only: observations and patterns, not medical metrics or diagnosis. Refs: TASK-012 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Summary
Implements the explainable metrics pack (TASK-012): pure-Dart glucose analytics plus a wellness-framed dashboard "Patterns" section.
Stacked on #4 (
feat/sim-demo-mode). Rebase tomainafter #4 merges.Analytics (
packages/cgm_core/lib/src/glucose_analytics.dart)Pure-Dart functions over
List<CgmReading>, exported viacgm_core.dart:GlucoseRangeBounds(default 70-180 mg/dL ~ 3.9-10 mmol/L)3.31 + 0.02392 * mean), hedged as a rough self-experimentation value, not a lab resultreadingsInTimeframe,summarize)Dashboard (
openhealth/lib/src/metrics_section.dart)New
MetricsSectionwidget rendering each metric with a one-line plain-language explanation, a 24h/7d/14d segmented selector, and mg/dL <-> mmol/L unit-pref-aware formatting. Insertion intomain.dartis minimal and clearly delimited (another wave touches the dashboard).dashboard_chart.dart,demo_driver.dart, and settings untouched.Wellness framing
Section titled "Patterns" with subtitle "Observations for self-experimentation, not medical metrics." No diagnostic/treatment language; estimated GMI explicitly flagged as not a lab result.
Tests
packages/cgm_core/test/glucose_analytics_test.dart— thorough synthetic-reading unit tests (windowing, average/SD/CV with known-answer series, GMI, spike counting incl. ordering & custom bounds, TIR bucketing & boundary inclusivity, empty/preFiltered paths). All cgm_core + app tests pass;flutter analyzeclean for changed files.Verification
Ran on iPhone 15 Pro simulator with
--dart-define=OG_DEMO=true. Screenshot:/tmp/og-metrics.png— shows TIR 100%, below/above 0%/0%, average 118 mg/dL, CV 10% (SD 12 mg/dL), estimated GMI ~6.1%, spikes 0, with the timeframe selector and disclaimer.Refs: TASK-012
🤖 Generated with Claude Code