/* Copyright (C) 2015-2017 Andreas Shimokawa, Carsten Pfeiffer, Daniele Gobbetti This file is part of Gadgetbridge. Gadgetbridge is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. Gadgetbridge is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details. You should have received a copy of the GNU Affero General Public License along with this program. If not, see . */ package nodomain.freeyourgadget.gadgetbridge.activities.charts; import java.util.HashMap; import java.util.List; import java.util.Map; import nodomain.freeyourgadget.gadgetbridge.model.ActivityAmount; import nodomain.freeyourgadget.gadgetbridge.model.ActivityAmounts; import nodomain.freeyourgadget.gadgetbridge.model.ActivityKind; import nodomain.freeyourgadget.gadgetbridge.model.ActivitySample; class ActivityAnalysis { // store raw steps and duration protected HashMap stats = new HashMap(); // normalize steps protected HashMap statsQuantified = new HashMap(); // store maxSpeed / resolution protected float maxSpeedQuantifier; // store an average of round precision protected float roundPrecision = 0f; // max speed determined from samples private int maxSpeed = 0; // number of bars on stats chart private int resolution = 5; ActivityAmounts calculateActivityAmounts(List samples) { ActivityAmount deepSleep = new ActivityAmount(ActivityKind.TYPE_DEEP_SLEEP); ActivityAmount lightSleep = new ActivityAmount(ActivityKind.TYPE_LIGHT_SLEEP); ActivityAmount notWorn = new ActivityAmount(ActivityKind.TYPE_NOT_WORN); ActivityAmount activity = new ActivityAmount(ActivityKind.TYPE_ACTIVITY); ActivityAmount previousAmount = null; ActivitySample previousSample = null; for (ActivitySample sample : samples) { ActivityAmount amount; switch (sample.getKind()) { case ActivityKind.TYPE_DEEP_SLEEP: amount = deepSleep; break; case ActivityKind.TYPE_LIGHT_SLEEP: amount = lightSleep; break; case ActivityKind.TYPE_NOT_WORN: amount = notWorn; break; case ActivityKind.TYPE_ACTIVITY: default: amount = activity; break; } int steps = sample.getSteps(); if (steps > 0) { amount.addSteps(steps); } if (previousSample != null) { long timeDifference = sample.getTimestamp() - previousSample.getTimestamp(); if (previousSample.getRawKind() == sample.getRawKind()) { amount.addSeconds(timeDifference); } else { long sharedTimeDifference = (long) (timeDifference / 2.0f); previousAmount.addSeconds(sharedTimeDifference); amount.addSeconds(sharedTimeDifference); } // add time if (steps > 0 && sample.getKind() == ActivityKind.TYPE_ACTIVITY) { if (steps > maxSpeed) { maxSpeed = steps; } if (!stats.containsKey(steps)) { //System.out.println("Adding: " + steps); stats.put(steps, timeDifference); } else { long time = stats.get(steps); //System.out.println("Updating: " + steps + " " + timeDifference + time); stats.put(steps, timeDifference + time); } } } previousAmount = amount; previousSample = sample; } maxSpeedQuantifier = maxSpeed / resolution; for (Map.Entry entry : stats.entrySet()) { // 0.1 precision //float keyQuantified = Math.round(entry.getKey() / maxSpeedQuantifier * 10f) / 10f; // 1 precision float keyQuantified = entry.getKey() / maxSpeedQuantifier; float keyQuantifiedRounded = Math.round(entry.getKey() / maxSpeedQuantifier); float keyQuantifiedPrecision = keyQuantifiedRounded - keyQuantified; roundPrecision = (roundPrecision + Math.abs(keyQuantifiedPrecision)) / 2; //System.out.println("Precision: " + roundPrecision); // no scale //keyQuantified = entry.getKey(); // scaling to minutes float timeMinutes = entry.getValue() / 60; if (!statsQuantified.containsKey(keyQuantifiedRounded)) { //System.out.println("Adding: " + keyQuantified + "/" + timeMinutes); statsQuantified.put(keyQuantifiedRounded, timeMinutes); } else { float previousTime = statsQuantified.get(keyQuantifiedRounded); //System.out.println("Updating: " + keyQuantified + "/" + (timeMinutes + previousTime)); statsQuantified.put(keyQuantifiedRounded, (timeMinutes + previousTime)); } } ActivityAmounts result = new ActivityAmounts(); if (deepSleep.getTotalSeconds() > 0) { result.addAmount(deepSleep); } if (lightSleep.getTotalSeconds() > 0) { result.addAmount(lightSleep); } if (activity.getTotalSeconds() > 0) { result.addAmount(activity); } result.calculatePercentages(); return result; } int calculateTotalSteps(List samples) { int totalSteps = 0; for (ActivitySample sample : samples) { int steps = sample.getSteps(); if (steps > 0) { totalSteps += sample.getSteps(); } } return totalSteps; } }