Glucose prediction

Scope: glucose:read. user is the scoped client, and portion comes from Food discovery and servings.

import { ActivityLevel, HeightUnit, Sex, WeightUnit } from '@januaryai/web-sdk';

const feet = 5;
const inches = 10;

const prediction = await user.glucose.predict({
  userProfile: {
    age: 35,
    sex: Sex.male,
    height: { value: feet * 12 + inches, unit: HeightUnit.inches },
    weight: { value: 175, unit: WeightUnit.pounds },
    activityLevel: ActivityLevel.moderatelyActive,
  },
  foods: [portion.selection],
  startTime: new Date(),
});

prediction.prediction.forEach(({ minutes, value }) => console.log(minutes, value));
console.log(prediction.impact, prediction.chart.min, prediction.chart.max);

• Profile. Height is in inches or centimeters and weight in pounds or kilograms. Ask for imperial height as feet and inches and convert, as above. activityLevel and healthConditions are optional.

• Timezone. The prediction depends on the meal's local time of day, so the scoped client's timezone is sent with it (UTC when unset).

• Result. prediction is the curve at 15-minute steps: minutes after startTime and the glucose value in mg/dL. impact grades the meal low, medium, or high (or null). chart.min and chart.max are suggested y-axis bounds, not the curve's extremes.

• Personalization. To tailor the prediction to one person, also send cgmData (recent CGM readings) and consumedFoods (the meals eaten over the same period). January needs at least five complete days of both; fewer fails with a validation error. Without them you get a standard prediction.

Predictions are informational, not a diagnosis or treatment guidance.