Examples with BgReading com.eveningoutpost.dexdrip.Models.BgReading used on opensource projects

Example 56 with BgReading

use of com.eveningoutpost.dexdrip.Models.BgReading in project xDrip-plus by jamorham.

the class BgSendQueue method resendData.

// KS start from WatchUpdaterService
public static void resendData(Context context, int battery) {
    // KS
    Log.d("BgSendQueue", "resendData enter battery=" + battery);
    long startTime = new Date().getTime() - (60000 * 60 * 24);
    Intent messageIntent = new Intent();
    messageIntent.setAction(Intent.ACTION_SEND);
    messageIntent.putExtra("message", "ACTION_G5BG");
    BgReading last_bg = BgReading.last();
    if (last_bg != null) {
        Log.d("BgSendQueue", "resendData last_bg.timestamp:" + JoH.dateTimeText(last_bg.timestamp));
    }
    List<BgReading> graph_bgs = BgReading.latestForGraph(60, startTime);
    BgGraphBuilder bgGraphBuilder = new BgGraphBuilder(context.getApplicationContext());
    if (!graph_bgs.isEmpty()) {
        Log.d("BgSendQueue", "resendData graph_bgs size=" + graph_bgs.size());
        final ArrayList<DataMap> dataMaps = new ArrayList<>(graph_bgs.size());
        SharedPreferences sharedPrefs = PreferenceManager.getDefaultSharedPreferences(context.getApplicationContext());
        DataMap entries = dataMap(last_bg, sharedPrefs, bgGraphBuilder, context, battery);
        for (BgReading bg : graph_bgs) {
            dataMaps.add(dataMap(bg, sharedPrefs, bgGraphBuilder, context, battery));
        }
        entries.putDataMapArrayList("entries", dataMaps);
        if (sharedPrefs.getBoolean("extra_status_line", false)) {
            // messageIntent.putExtra("extra_status_line", extraStatusLine(sharedPrefs));
            entries.putString("extra_status_line", extraStatusLine(sharedPrefs));
        }
        Log.d("BgSendQueue", "resendData entries=" + entries);
        messageIntent.putExtra("data", entries.toBundle());
        DataMap stepsDataMap = getSensorSteps(sharedPrefs);
        if (stepsDataMap != null) {
            messageIntent.putExtra("steps", stepsDataMap.toBundle());
        }
        LocalBroadcastManager.getInstance(context).sendBroadcast(messageIntent);
    }
}

Example 57 with BgReading

use of com.eveningoutpost.dexdrip.Models.BgReading in project xDrip-plus by jamorham.

the class Notifications method notificationSetter.

/*
 * *****************************************************************************************************************
 */
// returns weather unclear bg reading was detected
private boolean notificationSetter(Context context) {
    ReadPerfs(context);
    final long end = System.currentTimeMillis() + (60000 * 5);
    final long start = end - (60000 * 60 * 3) - (60000 * 10);
    BgGraphBuilder bgGraphBuilder = new BgGraphBuilder(context, start, end);
    // BgGraphBuilder bgGraphBuilder = new BgGraphBuilder(context);
    if (bg_ongoing && (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN)) {
        bgOngoingNotification(bgGraphBuilder);
    }
    if (prefs.getLong("alerts_disabled_until", 0) > new Date().getTime()) {
        Log.d("NOTIFICATIONS", "Notifications are currently disabled!!");
        return false;
    }
    boolean unclearReading = BgReading.getAndRaiseUnclearReading(context);
    if (unclearReading) {
        AlertPlayer.getPlayer().stopAlert(context, false, true);
    } else {
        FileBasedNotifications(context);
        BgReading.checkForDropAllert(context);
        BgReading.checkForRisingAllert(context);
    }
    // TODO: Add this alerts as well to depend on unclear sensor reading.
    BgReading.checkForPersistentHigh();
    // KS evaluateLowPredictionAlarm();
    // KS reportNoiseChanges();
    Sensor sensor = Sensor.currentSensor();
    // TODO need to check performance of rest of this method when in follower mode
    final List<BgReading> bgReadings = BgReading.latest(3);
    final List<Calibration> calibrations = Calibration.allForSensorLimited(3);
    if (bgReadings == null || bgReadings.size() < 3) {
        return unclearReading;
    }
    if (calibrations == null || calibrations.size() < 2) {
        return unclearReading;
    }
    BgReading bgReading = bgReadings.get(0);
    if (calibration_notifications) {
        // TODO this should only clear double calibration once after calibrations are achieved
        if (bgReadings.size() >= 3) {
            if (calibrations.size() == 0 && (new Date().getTime() - bgReadings.get(2).timestamp <= (60000 * 30)) && sensor != null) {
                if ((sensor.started_at + (60000 * 60 * 2)) < new Date().getTime()) {
                    doubleCalibrationRequest();
                } else {
                    // TODO should be aware of state
                    clearDoubleCalibrationRequest();
                }
            } else {
                clearDoubleCalibrationRequest();
            }
        } else {
            clearDoubleCalibrationRequest();
        }
        // bgreadings criteria possibly needs a review
        if (CalibrationRequest.shouldRequestCalibration(bgReading) && (new Date().getTime() - bgReadings.get(2).timestamp <= (60000 * 24))) {
            if ((!PowerStateReceiver.is_power_connected()) || (Pref.getBooleanDefaultFalse("calibration_alerts_while_charging"))) {
                if (JoH.pratelimit("calibration-request-notification", CALIBRATION_REQUEST_MAX_FREQUENCY)) {
                    extraCalibrationRequest();
                }
            }
        } else {
            // TODO should be aware of state
            clearExtraCalibrationRequest();
        }
        if (calibrations.size() >= 1 && (Math.abs((new Date().getTime() - calibrations.get(0).timestamp)) / (1000 * 60 * 60) > 12) && (CalibrationRequest.isSlopeFlatEnough(BgReading.last(true)))) {
            Log.d("NOTIFICATIONS", "Calibration difference in hours: " + ((new Date().getTime() - calibrations.get(0).timestamp)) / (1000 * 60 * 60));
            if ((!PowerStateReceiver.is_power_connected()) || (Pref.getBooleanDefaultFalse("calibration_alerts_while_charging"))) {
                // TODO check slope
                if (JoH.pratelimit("calibration-request-notification", CALIBRATION_REQUEST_MIN_FREQUENCY) || Pref.getBooleanDefaultFalse("calibration_alerts_repeat")) {
                    calibrationRequest();
                }
            }
        } else {
            // TODO should be aware of state
            clearCalibrationRequest();
        }
    } else {
        clearAllCalibrationNotifications();
    }
    return unclearReading;
}

Example 58 with BgReading

use of com.eveningoutpost.dexdrip.Models.BgReading in project xDrip-plus by jamorham.

the class Notifications method FileBasedNotifications.

/*
 * *************************************************************************************************************
 * Function for new notifications
 */
private void FileBasedNotifications(Context context) {
    ReadPerfs(context);
    Sensor sensor = Sensor.currentSensor();
    final BgReading bgReading = BgReading.last();
    if (bgReading == null) {
        // Sensor is stopped, or there is not enough data
        AlertPlayer.getPlayer().stopAlert(context, true, false);
        return;
    }
    final double calculated_value;
    /* KS TODO BestGlucose
        if (use_best_glucose) {
            this.dg = BestGlucose.getDisplayGlucose();
            if (dg != null) {
                bgReading.calculated_value = dg.mgdl;
                calculated_value = dg.mgdl;
            } else {
                calculated_value = bgReading.calculated_value;
                Log.wtf(TAG, "Could not obtain best glucose value!");
            }
        } else {*/
    calculated_value = bgReading.calculated_value;
    // }
    Log.d(TAG, "FileBasedNotifications called bgReading.calculated_value = " + bgReading.calculated_value + " calculated value: " + calculated_value);
    // In all this cases, bgReading.calculated_value should be 0.
    if (((sensor != null) || (Home.get_follower())) && calculated_value != 0) {
        AlertType newAlert = AlertType.get_highest_active_alert(context, calculated_value);
        if (newAlert == null) {
            Log.d(TAG, "FileBasedNotifications - No active notifcation exists, stopping all alerts");
            // No alert should work, Stop all alerts, but keep the snoozing...
            AlertPlayer.getPlayer().stopAlert(context, false, true);
            return;
        }
        AlertType activeBgAlert = ActiveBgAlert.alertTypegetOnly();
        if (activeBgAlert == null) {
            Log.d(TAG, "FileBasedNotifications we have a new alert, starting to play it... " + newAlert.name);
            // We need to create a new alert  and start playing
            boolean trendingToAlertEnd = trendingToAlertEnd(context, true, newAlert);
            // KS EditAlertActivity.
            AlertPlayer.getPlayer().startAlert(context, trendingToAlertEnd, newAlert, unitsConvert2Disp(doMgdl, calculated_value));
            return;
        }
        if (activeBgAlert.uuid.equals(newAlert.uuid)) {
            // disable alert on stale data
            if (prefs.getBoolean("disable_alerts_stale_data", false)) {
                int minutes = Integer.parseInt(prefs.getString("disable_alerts_stale_data_minutes", "15")) + 2;
                if ((new Date().getTime()) - (60000 * minutes) - BgReading.lastNoSenssor().timestamp > 0) {
                    Log.d(TAG, "FileBasedNotifications : active alert found but not replaying it because more than three readings missed :  " + newAlert.name);
                    return;
                }
            }
            Log.d(TAG, "FileBasedNotifications we have found an active alert, checking if we need to play it " + newAlert.name);
            boolean trendingToAlertEnd = trendingToAlertEnd(context, false, newAlert);
            // KS EditAlertActivity
            AlertPlayer.getPlayer().ClockTick(context, trendingToAlertEnd, unitsConvert2Disp(doMgdl, calculated_value));
            return;
        }
        // Currently the ui blocks having two alerts with the same alert value.
        boolean alertSnoozeOver = ActiveBgAlert.alertSnoozeOver();
        if (alertSnoozeOver) {
            Log.d(TAG, "FileBasedNotifications we had two alerts, the snoozed one is over, we fall down to deleting the snoozed and staring the new");
        // in such case it is not important which is higher.
        } else {
            // we have a new alert. If it is more important than the previous one. we need to stop
            // the older one and start a new one (We need to play even if we were snoozed).
            // If it is a lower level alert, we should keep being snoozed.
            // Example, if we have two alerts one for 90 and the other for 80. and we were already alerting for the 80
            // and we were snoozed. Now bg is 85, the alert for 80 is cleared, but we are alerting for 90.
            // We should not do anything if we are snoozed for the 80...
            // If one allert was high and the second one is low however, we alarm in any case (snoozing ignored).
            boolean opositeDirection = AlertType.OpositeDirection(activeBgAlert, newAlert);
            if (!opositeDirection) {
                AlertType newHigherAlert = AlertType.HigherAlert(activeBgAlert, newAlert);
                if ((newHigherAlert == activeBgAlert)) {
                    // the existing (snoozed) alert is the higher, No need to play it since it is snoozed.
                    Log.d(TAG, "FileBasedNotifications The new alert has the same direcotion, it is lower than the one snoozed, not playing it." + " newHigherAlert = " + newHigherAlert.name + "activeBgAlert = " + activeBgAlert.name);
                    return;
                }
            }
        }
        // For now, we are stopping the old alert and starting a new one.
        Log.d(TAG, "Found a new alert, that is higher than the previous one will play it. " + newAlert.name);
        AlertPlayer.getPlayer().stopAlert(context, true, false);
        boolean trendingToAlertEnd = trendingToAlertEnd(context, true, newAlert);
        // KS EditAlertActivity
        AlertPlayer.getPlayer().startAlert(context, trendingToAlertEnd, newAlert, unitsConvert2Disp(doMgdl, calculated_value));
    } else {
        AlertPlayer.getPlayer().stopAlert(context, true, false);
    }
}

Example 59 with BgReading

use of com.eveningoutpost.dexdrip.Models.BgReading in project xDrip-plus by jamorham.

the class BgGraphBuilder method addBgReadingValues.

private synchronized void addBgReadingValues(final boolean simple) {
    if (readings_lock.isLocked()) {
        Log.d(TAG, "BgReadings lock is currently held");
    }
    readings_lock.lock();
    try {
        if (plugin_adjusted) {
            Log.i(TAG, "Reloading as Plugin modified data: " + JoH.backTrace(1) + " size:" + bgReadings.size());
            bgReadings.clear();
            bgReadings.addAll(BgReading.latestForGraph(loaded_numValues, loaded_start, loaded_end));
        } else {
        // Log.d(TAG, "not adjusted");
        }
        filteredValues.clear();
        rawInterpretedValues.clear();
        iobValues.clear();
        activityValues.clear();
        cobValues.clear();
        predictedBgValues.clear();
        polyBgValues.clear();
        noisePolyBgValues.clear();
        annotationValues.clear();
        treatmentValues.clear();
        highValues.clear();
        lowValues.clear();
        inRangeValues.clear();
        calibrationValues.clear();
        bloodTestValues.clear();
        pluginValues.clear();
        final double bgScale = bgScale();
        final double now = JoH.ts();
        // most recent bgreading timestamp we have
        long highest_bgreading_timestamp = -1;
        // 10 minutes // TODO MAKE PREFERENCE?
        double trend_start_working = now - (1000 * 60 * 12);
        if (bgReadings.size() > 0) {
            highest_bgreading_timestamp = bgReadings.get(0).timestamp;
            final double ms_since_last_reading = now - highest_bgreading_timestamp;
            if (ms_since_last_reading < 500000) {
                // push back start of trend calc window
                trend_start_working -= ms_since_last_reading;
                Log.d(TAG, "Pushed back trend start by: " + JoH.qs(ms_since_last_reading / 1000) + " secs - last reading: " + JoH.dateTimeText(highest_bgreading_timestamp));
            }
        }
        final double trendstart = trend_start_working;
        // 20 minutes // TODO MAKE PREFERENCE
        final double noise_trendstart = now - (1000 * 60 * 20);
        double oldest_noise_timestamp = now;
        double newest_noise_timestamp = 0;
        TrendLine[] polys = new TrendLine[5];
        polys[0] = new PolyTrendLine(1);
        // polys[1] = new PolyTrendLine(2);
        polys[1] = new Forecast.LogTrendLine();
        polys[2] = new Forecast.ExpTrendLine();
        polys[3] = new Forecast.PowerTrendLine();
        TrendLine poly = null;
        final List<Double> polyxList = new ArrayList<>();
        final List<Double> polyyList = new ArrayList<>();
        final List<Double> noise_polyxList = new ArrayList<>();
        final List<Double> noise_polyyList = new ArrayList<>();
        // 8 hours
        final double avg1start = now - (1000 * 60 * 60 * 8);
        // 8 hours
        final double momentum_illustration_start = now - (1000 * 60 * 60 * 2);
        avg1startfuzzed = avg1start / FUZZER;
        avg1value = 0;
        avg1counter = 0;
        avg2value = 0;
        avg2counter = 0;
        double last_calibration = 0;
        double last_bloodtest = 0;
        if (doMgdl) {
            Profile.scale_factor = Constants.MMOLL_TO_MGDL;
        } else {
            Profile.scale_factor = 1;
        }
        final long close_to_side_time = (long) (end_time * FUZZER) - (Constants.MINUTE_IN_MS * 10);
        // enumerate calibrations
        try {
            for (Calibration calibration : calibrations) {
                if (calibration.timestamp < (start_time * FUZZER))
                    break;
                if (calibration.slope_confidence != 0) {
                    final long adjusted_timestamp = (calibration.timestamp + (AddCalibration.estimatedInterstitialLagSeconds * 1000));
                    final PointValueExtended this_point = new PointValueExtended((float) (adjusted_timestamp / FUZZER), (float) unitized(calibration.bg));
                    if (adjusted_timestamp >= close_to_side_time) {
                        predictivehours = Math.max(predictivehours, 1);
                    }
                    this_point.real_timestamp = calibration.timestamp;
                    calibrationValues.add(this_point);
                    if (calibration.timestamp > last_calibration) {
                        last_calibration = calibration.timestamp;
                    }
                }
            }
        } catch (Exception e) {
            Log.e(TAG, "Exception doing calibration values in bggraphbuilder: " + e.toString());
        }
        // enumerate blood tests
        try {
            for (BloodTest bloodtest : bloodtests) {
                final long adjusted_timestamp = (bloodtest.timestamp + (AddCalibration.estimatedInterstitialLagSeconds * 1000));
                final PointValueExtended this_point = new PointValueExtended((float) (adjusted_timestamp / FUZZER), (float) unitized(bloodtest.mgdl));
                this_point.type = PointValueExtended.BloodTest;
                this_point.uuid = bloodtest.uuid;
                this_point.real_timestamp = bloodtest.timestamp;
                // exclude any which have been used for calibration
                boolean matches = false;
                for (PointValue calibration_point : calibrationValues) {
                    if ((Math.abs(calibration_point.getX() - this_point.getX())) <= ((AddCalibration.estimatedInterstitialLagSeconds * 1000) / FUZZER) && (calibration_point.getY() == calibration_point.getY())) {
                        matches = true;
                        break;
                    }
                }
                if (!matches)
                    bloodTestValues.add(this_point);
                if (bloodtest.timestamp > last_bloodtest) {
                    last_bloodtest = bloodtest.timestamp;
                }
                if (adjusted_timestamp >= close_to_side_time) {
                    predictivehours = Math.max(predictivehours, 1);
                }
            }
        } catch (Exception e) {
            Log.e(TAG, "Exception doing calibration values in bggraphbuilder: " + e.toString());
        }
        final boolean has_filtered = DexCollectionType.hasFiltered();
        final boolean predict_use_momentum = prefs.getBoolean("predict_use_momentum", true);
        final boolean show_moment_working_line = prefs.getBoolean("show_momentum_working_line", false);
        final boolean interpret_raw = prefs.getBoolean("interpret_raw", false);
        final boolean show_filtered = prefs.getBoolean("show_filtered_curve", false) && has_filtered;
        final boolean predict_lows = prefs.getBoolean("predict_lows", true);
        final boolean show_plugin = prefs.getBoolean("plugin_plot_on_graph", false);
        final boolean glucose_from_plugin = prefs.getBoolean("display_glucose_from_plugin", false);
        if ((Home.get_follower()) && (bgReadings.size() < 3)) {
            GcmActivity.requestBGsync();
        }
        final CalibrationAbstract plugin = (show_plugin) ? PluggableCalibration.getCalibrationPluginFromPreferences() : null;
        CalibrationAbstract.CalibrationData cd = (plugin != null) ? plugin.getCalibrationData() : null;
        int cdposition = 0;
        if ((glucose_from_plugin) && (cd != null)) {
            // plugin will be adjusting data
            plugin_adjusted = true;
        }
        for (final BgReading bgReading : bgReadings) {
            if ((cd != null) && (calibrations.size() > 0)) {
                while ((bgReading.timestamp < calibrations.get(cdposition).timestamp) || (calibrations.get(cdposition).slope == 0)) {
                    Log.d(TAG, "BG reading earlier than calibration at index: " + cdposition + "  " + JoH.dateTimeText(bgReading.timestamp) + " cal: " + JoH.dateTimeText(calibrations.get(cdposition).timestamp));
                    if (cdposition < calibrations.size() - 1) {
                        cdposition++;
                        // cd = (plugin != null) ? plugin.getCalibrationData(calibrations.get(cdposition).timestamp) : null;
                        final CalibrationAbstract.CalibrationData oldcd = cd;
                        cd = plugin.getCalibrationData(calibrations.get(cdposition).timestamp);
                        if (cd == null) {
                            Log.d(TAG, "cd went to null during adjustment - likely graph spans multiple sensors");
                            cd = oldcd;
                        }
                        Log.d(TAG, "Now using calibration from: " + JoH.dateTimeText(calibrations.get(cdposition).timestamp) + " slope: " + cd.slope + " intercept: " + cd.intercept);
                    } else {
                        Log.d(TAG, "No more calibrations to choose from");
                        break;
                    }
                }
            }
            // swap main and plugin plot if display glucose is from plugin
            if ((glucose_from_plugin) && (cd != null)) {
                pluginValues.add(new PointValue((float) (bgReading.timestamp / FUZZER), (float) unitized(bgReading.calculated_value)));
                // recalculate from plugin - beware floating / cached references!
                bgReading.calculated_value = plugin.getGlucoseFromBgReading(bgReading, cd);
                bgReading.filtered_calculated_value = plugin.getGlucoseFromFilteredBgReading(bgReading, cd);
            }
            if ((show_filtered) && (bgReading.filtered_calculated_value > 0) && (bgReading.filtered_calculated_value != bgReading.calculated_value)) {
                filteredValues.add(new PointValue((float) ((bgReading.timestamp - timeshift) / FUZZER), (float) unitized(bgReading.filtered_calculated_value)));
            }
            if ((interpret_raw && (bgReading.raw_calculated > 0))) {
                rawInterpretedValues.add(new PointValue((float) (bgReading.timestamp / FUZZER), (float) unitized(bgReading.raw_calculated)));
            }
            if ((!glucose_from_plugin) && (plugin != null) && (cd != null)) {
                pluginValues.add(new PointValue((float) (bgReading.timestamp / FUZZER), (float) unitized(plugin.getGlucoseFromBgReading(bgReading, cd))));
            }
            if (bgReading.calculated_value >= 400) {
                highValues.add(new PointValue((float) (bgReading.timestamp / FUZZER), (float) unitized(400)));
            } else if (unitized(bgReading.calculated_value) >= highMark) {
                highValues.add(new PointValue((float) (bgReading.timestamp / FUZZER), (float) unitized(bgReading.calculated_value)));
            } else if (unitized(bgReading.calculated_value) >= lowMark) {
                inRangeValues.add(new PointValue((float) (bgReading.timestamp / FUZZER), (float) unitized(bgReading.calculated_value)));
            } else if (bgReading.calculated_value >= 40) {
                lowValues.add(new PointValue((float) (bgReading.timestamp / FUZZER), (float) unitized(bgReading.calculated_value)));
            } else if (bgReading.calculated_value > 13) {
                lowValues.add(new PointValue((float) (bgReading.timestamp / FUZZER), (float) unitized(40)));
            }
            avg2counter++;
            avg2value += bgReading.calculated_value;
            if (bgReading.timestamp > avg1start) {
                avg1counter++;
                avg1value += bgReading.calculated_value;
            }
            // noise calculator
            if ((!simple || (noise_processed_till_timestamp < highest_bgreading_timestamp)) && (bgReading.timestamp > noise_trendstart) && (bgReading.timestamp > last_calibration)) {
                if (has_filtered && (bgReading.filtered_calculated_value > 0) && (bgReading.filtered_calculated_value != bgReading.calculated_value)) {
                    final double shifted_timestamp = bgReading.timestamp - timeshift;
                    if (shifted_timestamp > last_calibration) {
                        if (shifted_timestamp < oldest_noise_timestamp)
                            oldest_noise_timestamp = shifted_timestamp;
                        noise_polyxList.add(shifted_timestamp);
                        noise_polyyList.add((bgReading.filtered_calculated_value));
                        if (d)
                            Log.d(TAG, "flt noise poly Added: " + noise_polyxList.size() + " " + JoH.qs(noise_polyxList.get(noise_polyxList.size() - 1)) + " / " + JoH.qs(noise_polyyList.get(noise_polyyList.size() - 1), 2));
                    }
                }
                if (bgReading.calculated_value > 0) {
                    if (bgReading.timestamp < oldest_noise_timestamp)
                        oldest_noise_timestamp = bgReading.timestamp;
                    if (bgReading.timestamp > newest_noise_timestamp) {
                        newest_noise_timestamp = bgReading.timestamp;
                        original_value = bgReading.calculated_value;
                    }
                    noise_polyxList.add((double) bgReading.timestamp);
                    noise_polyyList.add((bgReading.calculated_value));
                    if (d)
                        Log.d(TAG, "raw noise poly Added: " + noise_polyxList.size() + " " + JoH.qs(noise_polyxList.get(noise_polyxList.size() - 1)) + " / " + JoH.qs(noise_polyyList.get(noise_polyyList.size() - 1), 2));
                }
            }
            // momentum trend
            if (!simple && (bgReading.timestamp > trendstart) && (bgReading.timestamp > last_calibration)) {
                if (has_filtered && (bgReading.filtered_calculated_value > 0) && (bgReading.filtered_calculated_value != bgReading.calculated_value)) {
                    polyxList.add((double) bgReading.timestamp - timeshift);
                    polyyList.add(unitized(bgReading.filtered_calculated_value));
                }
                if (bgReading.calculated_value > 0) {
                    polyxList.add((double) bgReading.timestamp);
                    polyyList.add(unitized(bgReading.calculated_value));
                }
                if (d)
                    Log.d(TAG, "poly Added: " + JoH.qs(polyxList.get(polyxList.size() - 1)) + " / " + JoH.qs(polyyList.get(polyyList.size() - 1), 2));
            }
        }
        if (avg1counter > 0) {
            avg1value = avg1value / avg1counter;
        }
        if (avg2counter > 0) {
            avg2value = avg2value / avg2counter;
        }
        // always calculate noise if needed
        if (noise_processed_till_timestamp < highest_bgreading_timestamp) {
            // noise evaluate
            Log.d(TAG, "Noise: Processing new data for noise: " + JoH.dateTimeText(noise_processed_till_timestamp) + " vs now: " + JoH.dateTimeText(highest_bgreading_timestamp));
            try {
                if (d)
                    Log.d(TAG, "noise Poly list size: " + noise_polyxList.size());
                // TODO Impossible to satisfy noise evaluation size with only raw data do we want it with raw only??
                if (noise_polyxList.size() > 5) {
                    noisePoly = new PolyTrendLine(2);
                    final double[] noise_polyys = PolyTrendLine.toPrimitiveFromList(noise_polyyList);
                    final double[] noise_polyxs = PolyTrendLine.toPrimitiveFromList(noise_polyxList);
                    noisePoly.setValues(noise_polyys, noise_polyxs);
                    last_noise = noisePoly.errorVarience();
                    if (newest_noise_timestamp > oldest_noise_timestamp) {
                        best_bg_estimate = noisePoly.predict(newest_noise_timestamp);
                        last_bg_estimate = noisePoly.predict(newest_noise_timestamp - DEXCOM_PERIOD);
                    } else {
                        best_bg_estimate = -99;
                        last_bg_estimate = -99;
                    }
                    Log.i(TAG, "Noise: Poly Error Varience: " + JoH.qs(last_noise, 5));
                } else {
                    Log.i(TAG, "Noise: Not enough data to get sensible noise value");
                    noisePoly = null;
                    last_noise = -9999;
                    best_bg_estimate = -9999;
                    last_bg_estimate = -9999;
                }
                // store that we have processed up to this timestamp
                noise_processed_till_timestamp = highest_bgreading_timestamp;
            } catch (Exception e) {
                Log.e(TAG, " Error with noise poly trend: " + e.toString());
            }
        } else {
            Log.d(TAG, "Noise Cached noise timestamp: " + JoH.dateTimeText(noise_processed_till_timestamp));
        }
        if (!simple) {
            // momentum
            try {
                if (d)
                    Log.d(TAG, "moment Poly list size: " + polyxList.size());
                if (polyxList.size() > 1) {
                    final double[] polyys = PolyTrendLine.toPrimitiveFromList(polyyList);
                    final double[] polyxs = PolyTrendLine.toPrimitiveFromList(polyxList);
                    // set and evaluate poly curve models and select first best
                    double min_errors = 9999999;
                    for (TrendLine this_poly : polys) {
                        if (this_poly != null) {
                            if (poly == null)
                                poly = this_poly;
                            this_poly.setValues(polyys, polyxs);
                            if (this_poly.errorVarience() < min_errors) {
                                min_errors = this_poly.errorVarience();
                                poly = this_poly;
                            // if (d) Log.d(TAG, "set forecast best model to: " + poly.getClass().getSimpleName() + " with varience of: " + JoH.qs(poly.errorVarience(),14));
                            }
                        }
                    }
                    if (d)
                        Log.i(TAG, "set forecast best model to: " + poly.getClass().getSimpleName() + " with varience of: " + JoH.qs(poly.errorVarience(), 4));
                } else {
                    if (d)
                        Log.i(TAG, "Not enough data for forecast model");
                }
            } catch (Exception e) {
                Log.e(TAG, " Error with poly trend: " + e.toString());
            }
            try {
                // show trend for whole bg reading area
                if ((show_moment_working_line) && (poly != null)) {
                    for (BgReading bgReading : bgReadings) {
                        // only show working curve for last x hours to a
                        if (bgReading.timestamp > momentum_illustration_start) {
                            double polyPredicty = poly.predict(bgReading.timestamp);
                            // if (d) Log.d(TAG, "Poly predict: "+JoH.qs(polyPredict)+" @ "+JoH.qs(iob.timestamp));
                            if ((polyPredicty < highMark) && (polyPredicty > 0)) {
                                PointValue zv = new PointValue((float) (bgReading.timestamp / FUZZER), (float) polyPredicty);
                                polyBgValues.add(zv);
                            }
                        }
                    }
                }
            } catch (Exception e) {
                Log.e(TAG, "Error creating back trend: " + e.toString());
            }
            // low estimator
            // work backwards to see whether we think a low is estimated
            low_occurs_at = -1;
            try {
                if ((predict_lows) && (prediction_enabled) && (poly != null)) {
                    final double offset = ActivityRecognizedService.raise_limit_due_to_vehicle_mode() ? unitized(ActivityRecognizedService.getVehicle_mode_adjust_mgdl()) : 0;
                    final double plow_now = JoH.ts();
                    // max look-ahead
                    double plow_timestamp = plow_now + (1000 * 60 * 99);
                    double polyPredicty = poly.predict(plow_timestamp);
                    Log.d(TAG, "Low predictor at max lookahead is: " + JoH.qs(polyPredicty));
                    // store that we have processed up to this timestamp
                    low_occurs_at_processed_till_timestamp = highest_bgreading_timestamp;
                    if (polyPredicty <= (lowMark + offset)) {
                        low_occurs_at = plow_timestamp;
                        final double lowMarkIndicator = (lowMark - (lowMark / 4));
                        // if (d) Log.d(TAG, "Poly predict: "+JoH.qs(polyPredict)+" @ "+JoH.qsz(iob.timestamp));
                        while (plow_timestamp > plow_now) {
                            plow_timestamp = plow_timestamp - FUZZER;
                            polyPredicty = poly.predict(plow_timestamp);
                            if (polyPredicty > (lowMark + offset)) {
                                PointValue zv = new PointValue((float) (plow_timestamp / FUZZER), (float) polyPredicty);
                                polyBgValues.add(zv);
                            } else {
                                low_occurs_at = plow_timestamp;
                                if (polyPredicty > lowMarkIndicator) {
                                    polyBgValues.add(new PointValue((float) (plow_timestamp / FUZZER), (float) polyPredicty));
                                }
                            }
                        }
                        Log.i(TAG, "LOW PREDICTED AT: " + JoH.dateTimeText((long) low_occurs_at));
                        predictivehours = Math.max(predictivehours, (int) ((low_occurs_at - plow_now) / (60 * 60 * 1000)) + 1);
                    }
                }
            } catch (NullPointerException e) {
            // Log.d(TAG,"Error with low prediction trend: "+e.toString());
            }
            final boolean show_noise_working_line;
            if (last_noise > NOISE_TRIGGER || (last_noise > BgGraphBuilder.NOISE_TRIGGER_ULTRASENSITIVE && Pref.getBooleanDefaultFalse("engineering_mode") && Pref.getBooleanDefaultFalse("bg_compensate_noise_ultrasensitive"))) {
                show_noise_working_line = true;
            } else {
                show_noise_working_line = prefs.getBoolean("show_noise_workings", false);
            }
            // noise debug
            try {
                // overlay noise curve
                if ((show_noise_working_line) && (prediction_enabled) && (noisePoly != null)) {
                    for (BgReading bgReading : bgReadings) {
                        // only show working curve for last x hours to a
                        if ((bgReading.timestamp > oldest_noise_timestamp) && (bgReading.timestamp > last_calibration)) {
                            double polyPredicty = unitized(noisePoly.predict(bgReading.timestamp));
                            if (d)
                                Log.d(TAG, "noise Poly predict: " + JoH.qs(polyPredicty) + " @ " + JoH.qs(bgReading.timestamp));
                            if ((polyPredicty < highMark) && (polyPredicty > 0)) {
                                PointValue zv = new PointValue((float) (bgReading.timestamp / FUZZER), (float) polyPredicty);
                                noisePolyBgValues.add(zv);
                            }
                        }
                    }
                }
            } catch (Exception e) {
                Log.e(TAG, "Error creating noise working trend: " + e.toString());
            }
            try {
                // display treatment blobs and annotations
                for (Treatments treatment : treatments) {
                    double height = 6 * bgScale;
                    if (treatment.insulin > 0)
                        // some scaling needed I think
                        height = treatment.insulin;
                    if (height > highMark)
                        height = highMark;
                    if (height < lowMark)
                        height = lowMark;
                    final PointValueExtended pv = new PointValueExtended((float) (treatment.timestamp / FUZZER), (float) height);
                    String mylabel = "";
                    if (treatment.insulin > 0) {
                        if (mylabel.length() > 0)
                            mylabel = mylabel + System.getProperty("line.separator");
                        mylabel = mylabel + (JoH.qs(treatment.insulin, 2) + "u").replace(".0u", "u");
                    }
                    if (treatment.carbs > 0) {
                        if (mylabel.length() > 0)
                            mylabel = mylabel + System.getProperty("line.separator");
                        mylabel = mylabel + (JoH.qs(treatment.carbs, 1) + "g").replace(".0g", "g");
                    }
                    // standard label
                    pv.setLabel(mylabel);
                    // Log.d(TAG, "watchkeypad pv.mylabel: " + mylabel);
                    if ((treatment.notes != null) && (treatment.notes.length() > 0)) {
                        pv.note = treatment.notes;
                        // Log.d(TAG, "watchkeypad pv.note: " + pv.note + " mylabel: " + mylabel);
                        try {
                            final Pattern p = Pattern.compile(".*?pos:([0-9.]+).*");
                            final Matcher m = p.matcher(treatment.enteredBy);
                            if (m.matches()) {
                                pv.set(pv.getX(), (float) JoH.tolerantParseDouble(m.group(1)));
                            }
                        } catch (Exception e) {
                            Log.d(TAG, "Exception matching position: " + e);
                        }
                    } else {
                        pv.note = treatment.getBestShortText();
                    }
                    if (treatmentValues.size() > 0) {
                        // not sure if this >1 is right really - needs a review
                        PointValue lastpv = treatmentValues.get(treatmentValues.size() - 1);
                        if (Math.abs(lastpv.getX() - pv.getX()) < ((10 * 60 * 1000) / FUZZER)) {
                            // merge label with previous - Intelligent parsing and additions go here
                            if (d)
                                Log.d(TAG, "Merge treatment difference: " + Float.toString(lastpv.getX() - pv.getX()));
                            String lastlabel = String.valueOf(lastpv.getLabelAsChars());
                            if (lastlabel.length() > 0) {
                                lastpv.setLabel(lastlabel + "+" + mylabel);
                                pv.setLabel("");
                            }
                        }
                    }
                    // hover
                    treatmentValues.add(pv);
                    if (d)
                        Log.d(TAG, "Treatment total record: " + Double.toString(height) + " " + " timestamp: " + Long.toString(treatment.timestamp));
                }
            } catch (Exception e) {
                Log.e(TAG, "Exception doing treatment values in bggraphbuilder: " + e.toString());
            }
            try {
                // we need to check we actually have sufficient data for this
                double predictedbg = -1000;
                BgReading mylastbg = bgReadings.get(0);
                double lasttimestamp = 0;
                // this can be optimised to oncreate and onchange
                // TODO handle this better now we use profile time blocks
                Profile.reloadPreferencesIfNeeded(prefs);
                try {
                    if (mylastbg != null) {
                        if (doMgdl) {
                            predictedbg = mylastbg.calculated_value;
                        } else {
                            predictedbg = mylastbg.calculated_value_mmol();
                        }
                        // if (d) Log.d(TAG, "Starting prediction with bg of: " + JoH.qs(predictedbg));
                        lasttimestamp = mylastbg.timestamp / FUZZER;
                        if (d)
                            Log.d(TAG, "Starting prediction with bg of: " + JoH.qs(predictedbg) + " secs ago: " + (JoH.ts() - mylastbg.timestamp) / 1000);
                    } else {
                        Log.i(TAG, "COULD NOT GET LAST BG READING FOR PREDICTION!!!");
                    }
                } catch (Exception e) {
                // could not get a bg reading
                }
                final double iobscale = 1 * bgScale;
                final double cobscale = 0.2 * bgScale;
                final double initial_predicted_bg = predictedbg;
                final double relaxed_predicted_bg_limit = initial_predicted_bg * 1.20;
                final double cob_insulin_max_draw_value = highMark * 1.20;
                // final List<Iob> iobinfo_old = Treatments.ioBForGraph(numValues, (start_time * FUZZER));
                // for test
                final List<Iob> iobinfo = (simulation_enabled) ? Treatments.ioBForGraph_new(NUM_VALUES, (start_time * FUZZER)) : null;
                // initial value in case there are no iob records
                long fuzzed_timestamp = (long) end_time;
                if (d)
                    Log.d(TAG, "Internal date timestamp: " + android.text.format.DateFormat.format("yyyy-MM-dd HH:mm:ss", new java.util.Date()));
                if (d)
                    Log.d(TAG, "initial Fuzzed end timestamp: " + android.text.format.DateFormat.format("yyyy-MM-dd HH:mm:ss", fuzzed_timestamp * FUZZER));
                if (d)
                    Log.d(TAG, "initial Fuzzed start timestamp: " + android.text.format.DateFormat.format("yyyy-MM-dd HH:mm:ss", (long) start_time * FUZZER));
                if ((iobinfo != null) && (prediction_enabled) && (simulation_enabled)) {
                    double predict_weight = 0.1;
                    boolean iob_shown_already = false;
                    for (Iob iob : iobinfo) {
                        // double activity = iob.activity;
                        if ((iob.iob > 0) || (iob.cob > 0) || (iob.jActivity > 0) || (iob.jCarbImpact > 0)) {
                            fuzzed_timestamp = iob.timestamp / FUZZER;
                            if (d)
                                Log.d(TAG, "iob timestamp: " + iob.timestamp);
                            if (iob.iob > Profile.minimum_shown_iob) {
                                double height = iob.iob * iobscale;
                                if (height > cob_insulin_max_draw_value)
                                    height = cob_insulin_max_draw_value;
                                PointValue pv = new PointValue((float) fuzzed_timestamp, (float) height);
                                iobValues.add(pv);
                                // currently scaled by profile
                                double activityheight = iob.jActivity * 3;
                                if (activityheight > cob_insulin_max_draw_value)
                                    activityheight = cob_insulin_max_draw_value;
                                PointValue av = new PointValue((float) fuzzed_timestamp, (float) activityheight);
                                activityValues.add(av);
                            }
                            if (iob.cob > 0) {
                                double height = iob.cob * cobscale;
                                if (height > cob_insulin_max_draw_value)
                                    height = cob_insulin_max_draw_value;
                                PointValue pv = new PointValue((float) fuzzed_timestamp, (float) height);
                                if (d)
                                    Log.d(TAG, "Cob total record: " + JoH.qs(height) + " " + JoH.qs(iob.cob) + " " + Float.toString(pv.getY()) + " @ timestamp: " + Long.toString(iob.timestamp));
                                // warning should not be hardcoded
                                cobValues.add(pv);
                            }
                            // do we actually need to calculate this within the loop - can we use only the last datum?
                            if (fuzzed_timestamp > (lasttimestamp)) {
                                double polyPredict = 0;
                                if (poly != null) {
                                    try {
                                        polyPredict = poly.predict(iob.timestamp);
                                        if (d)
                                            Log.d(TAG, "Poly predict: " + JoH.qs(polyPredict) + " @ " + JoH.dateTimeText(iob.timestamp));
                                        if (show_moment_working_line) {
                                            if (((polyPredict < highMark) || (polyPredict < initial_predicted_bg)) && (polyPredict > 0)) {
                                                PointValue zv = new PointValue((float) fuzzed_timestamp, (float) polyPredict);
                                                polyBgValues.add(zv);
                                            }
                                        }
                                    } catch (Exception e) {
                                        Log.e(TAG, "Got exception with poly predict: " + e.toString());
                                    }
                                }
                                if (d)
                                    Log.d(TAG, "Processing prediction: before: " + JoH.qs(predictedbg) + " activity: " + JoH.qs(iob.jActivity) + " jcarbimpact: " + JoH.qs(iob.jCarbImpact));
                                // lower bg by current insulin activity
                                predictedbg -= iob.jActivity;
                                predictedbg += iob.jCarbImpact;
                                double predictedbg_final = predictedbg;
                                // add momentum characteristics if we have them
                                final boolean momentum_smoothing = true;
                                if ((predict_use_momentum) && (polyPredict > 0)) {
                                    predictedbg_final = ((predictedbg * predict_weight) + polyPredict) / (predict_weight + 1);
                                    if (momentum_smoothing)
                                        predictedbg = predictedbg_final;
                                    if (d)
                                        Log.d(TAG, "forecast predict_weight: " + JoH.qs(predict_weight));
                                }
                                // from 0-infinity - // TODO account for step!!!
                                predict_weight = predict_weight * 2.5;
                                // we should pull in actual graph upper and lower limits here
                                if (((predictedbg_final < cob_insulin_max_draw_value) || (predictedbg_final < relaxed_predicted_bg_limit)) && (predictedbg_final > 0)) {
                                    PointValue zv = new PointValue((float) fuzzed_timestamp, (float) predictedbg_final);
                                    predictedBgValues.add(zv);
                                }
                            }
                            if (fuzzed_timestamp > end_time) {
                                // round up to nearest future hour - timestamps in minutes here
                                predictivehours = (int) (((fuzzed_timestamp - end_time) * FUZZER) / (1000 * 60 * 60)) + 1;
                                if (d)
                                    Log.d(TAG, "Predictive hours updated to: " + predictivehours);
                            } else {
                                // KS Log.d(TAG, "IOB DEBUG: " + (fuzzed_timestamp - end_time) + " " + iob.iob);
                                if (!iob_shown_already && (Math.abs(fuzzed_timestamp - end_time) < 5) && (iob.iob > 0)) {
                                    iob_shown_already = true;
                                    // show current iob
                                    // double position = 12.4 * bgScale; // this is for mmol - needs generic for mg/dl
                                    // if (Math.abs(predictedbg - position) < (2 * bgScale)) {
                                    // position = 7.0 * bgScale;
                                    // }
                                    // PointValue iv = new PointValue((float) fuzzed_timestamp, (float) position);
                                    DecimalFormat df = new DecimalFormat("#");
                                    df.setMaximumFractionDigits(2);
                                    df.setMinimumIntegerDigits(1);
                                    // iv.setLabel("IoB: " + df.format(iob.iob));
                                    Home.updateStatusLine("iob", df.format(iob.iob));
                                // annotationValues.add(iv); // needs to be different value list so we can make annotation nicer
                                }
                            }
                        }
                    }
                    if (d)
                        Log.i(TAG, "Size of iob: " + Integer.toString(iobinfo.size()) + " Predictive hours: " + Integer.toString(predictivehours) + " Predicted end game change: " + JoH.qs(predictedbg - mylastbg.calculated_value_mmol()) + " Start bg: " + JoH.qs(mylastbg.calculated_value_mmol()) + " Predicted: " + JoH.qs(predictedbg));
                // calculate bolus or carb adjustment - these should have granularity for injection / pump and thresholds
                } else {
                    if (d)
                        Log.i(TAG, "iobinfo was null");
                }
                double[] evaluation;
                if (prediction_enabled && simulation_enabled) {
                    // if (doMgdl) {
                    // These routines need to understand how the profile is defined to use native instead of scaled
                    evaluation = Profile.evaluateEndGameMmol(predictedbg, lasttimestamp * FUZZER, end_time * FUZZER);
                    // } else {
                    // evaluation = Profile.evaluateEndGameMmol(predictedbg, lasttimestamp * FUZZER, end_time * FUZZER);
                    // }
                    String bwp_update = "";
                    keyStore.putL("bwp_last_insulin_timestamp", -1);
                    if (d)
                        Log.i(TAG, "Predictive BWP: Current prediction: " + JoH.qs(predictedbg) + " / carbs: " + JoH.qs(evaluation[0]) + " insulin: " + JoH.qs(evaluation[1]));
                    if (!BgReading.isDataStale()) {
                        if (((low_occurs_at < 1) || Pref.getBooleanDefaultFalse("always_show_bwp")) && (Pref.getBooleanDefaultFalse("show_bwp"))) {
                            if (evaluation[0] > Profile.minimum_carb_recommendation) {
                                // PointValue iv = new PointValue((float) fuzzed_timestamp, (float) (10 * bgScale));
                                // iv.setLabel("+Carbs: " + JoH.qs(evaluation[0], 0));
                                bwp_update = "\u224F" + " Carbs: " + JoH.qs(evaluation[0], 0);
                            // annotationValues.add(iv); // needs to be different value list so we can make annotation nicer
                            } else if (evaluation[1] > Profile.minimum_insulin_recommendation) {
                                // PointValue iv = new PointValue((float) fuzzed_timestamp, (float) (11 * bgScale));
                                // iv.setLabel("+Insulin: " + JoH.qs(evaluation[1], 1));
                                keyStore.putS("bwp_last_insulin", JoH.qs(evaluation[1], 1) + ((low_occurs_at > 0) ? ("!") : ""));
                                keyStore.putL("bwp_last_insulin_timestamp", JoH.tsl());
                                // warning symbol
                                bwp_update = "\u224F" + " Insulin: " + JoH.qs(evaluation[1], 1) + ((low_occurs_at > 0) ? (" " + "\u26A0") : "");
                            // annotationValues.add(iv); // needs to be different value list so we can make annotation nicer
                            }
                        }
                    }
                    // always send so we can blank if needed
                    Home.updateStatusLine("bwp", bwp_update);
                }
            } catch (Exception e) {
                Log.e(TAG, "Exception doing iob values in bggraphbuilder: " + e.toString());
            }
        }
    // if !simple
    } finally {
        readings_lock.unlock();
    }
}

Example 60 with BgReading

use of com.eveningoutpost.dexdrip.Models.BgReading in project xDrip-plus by jamorham.

the class Notifications method createOngoingNotification.

/* private Notification createExtensionPage(long hours) {
        return new NotificationCompat.Builder(mContext)
                .extend(new NotificationCompat.WearableExtender()
                                .setBackground(createWearBitmap(hours))
                                .setHintShowBackgroundOnly(true)
                                .setHintAvoidBackgroundClipping(true)
                )
                .build();
    }*/
@TargetApi(Build.VERSION_CODES.JELLY_BEAN)
public synchronized Notification createOngoingNotification(BgGraphBuilder bgGraphBuilder, Context context) {
    mContext = context;
    ReadPerfs(mContext);
    Intent intent = new Intent(mContext, Home.class);
    List<BgReading> lastReadings = BgReading.latest(2);
    BgReading lastReading = null;
    if (lastReadings != null && lastReadings.size() >= 2) {
        lastReading = lastReadings.get(0);
    }
    TaskStackBuilder stackBuilder = TaskStackBuilder.create(mContext);
    stackBuilder.addParentStack(Home.class);
    stackBuilder.addNextIntent(intent);
    PendingIntent resultPendingIntent = stackBuilder.getPendingIntent(0, PendingIntent.FLAG_UPDATE_CURRENT);
    // final NotificationCompat.Builder b = new NotificationCompat.Builder(mContext, NotificationChannels.ONGOING_CHANNEL);
    // final NotificationCompat.Builder b = new NotificationCompat.Builder(mContext); // temporary fix until ONGOING CHANNEL is silent by default on android 8+
    // temporary fix until ONGOING CHANNEL is silent by default on android 8+
    final Notification.Builder b = new Notification.Builder(mContext);
    // b.setOngoing(true); // TODO CHECK THIS!!
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.LOLLIPOP) {
        b.setVisibility(Pref.getBooleanDefaultFalse("public_notifications") ? Notification.VISIBILITY_PUBLIC : Notification.VISIBILITY_PRIVATE);
        b.setCategory(NotificationCompat.CATEGORY_STATUS);
    }
    if (Pref.getBooleanDefaultFalse("high_priority_notifications")) {
        b.setPriority(Notification.PRIORITY_HIGH);
    }
    final BestGlucose.DisplayGlucose dg = (use_best_glucose) ? BestGlucose.getDisplayGlucose() : null;
    // could be preference option
    final boolean use_color_in_notification = false;
    final SpannableString titleString = new SpannableString(lastReading == null ? "BG Reading Unavailable" : (dg != null) ? (dg.spannableString(dg.unitized + " " + dg.delta_arrow, use_color_in_notification)) : (lastReading.displayValue(mContext) + " " + lastReading.slopeArrow()));
    b.setContentTitle(titleString).setContentText("xDrip Data collection service is running.").setSmallIcon(R.drawable.ic_action_communication_invert_colors_on).setUsesChronometer(false);
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {
        // user has a chance to disable the feature
        if (SystemClock.uptimeMillis() > Constants.MINUTE_IN_MS * 15) {
            if (NumberGraphic.numberIconEnabled()) {
                if ((dg != null) && (!dg.isStale())) {
                    final Bitmap icon_bitmap = NumberGraphic.getBitmap(dg.unitized);
                    if (icon_bitmap != null)
                        b.setSmallIcon(Icon.createWithBitmap(icon_bitmap));
                }
            }
        }
    }
    if (lastReading != null) {
        b.setWhen(lastReading.timestamp);
        final SpannableString deltaString = new SpannableString("Delta: " + ((dg != null) ? (dg.spannableString(dg.unitized_delta + (dg.from_plugin ? " " + context.getString(R.string.p_in_circle) : ""))) : bgGraphBuilder.unitizedDeltaString(true, true)));
        b.setContentText(deltaString);
        iconBitmap = new BgSparklineBuilder(mContext).setHeight(64).setWidth(64).setStart(System.currentTimeMillis() - 60000 * 60 * 3).setBgGraphBuilder(bgGraphBuilder).setBackgroundColor(getCol(X.color_notification_chart_background)).build();
        b.setLargeIcon(iconBitmap);
        Notification.BigPictureStyle bigPictureStyle = new Notification.BigPictureStyle();
        notifiationBitmap = new BgSparklineBuilder(mContext).setBgGraphBuilder(bgGraphBuilder).showHighLine().showLowLine().setStart(System.currentTimeMillis() - 60000 * 60 * 3).showAxes(true).setBackgroundColor(getCol(X.color_notification_chart_background)).setShowFiltered(DexCollectionType.hasFiltered() && Pref.getBooleanDefaultFalse("show_filtered_curve")).build();
        bigPictureStyle.bigPicture(notifiationBitmap).setSummaryText(deltaString).setBigContentTitle(titleString);
        b.setStyle(bigPictureStyle);
    }
    b.setContentIntent(resultPendingIntent);
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.KITKAT_WATCH) {
        b.setLocalOnly(true);
    }
    return b.build();
}