Autotune insulinPeakTime and insulinEndTime

This PR optionally (if oref0-autotune is run with --tune-insulin-curve=true ) allows autotune to find the best values for the insulinPeakTime and insulinEndTime parameters used by the rapid-acting and ultra-rapid exponential insulin activity curves.  It does so by repeatedly re-running the autotune calculations for each insulinEndTime, +/- 2h from the current setting in 1h steps, and for each insulinPeakTime, +/- 10m from the current setting in 5m steps, and calculating the sum of the squared deviations categorized as basals.  It then determines whether the run with the lowest sum of squared deviations was longer or shorter than the current setting, and if so, whether the next 1h/5m step in that direction is better than the current setting.  If so, it tunes the setting by one 1h/5m step in the direction that showed improvement, and then repeats the process the next day.
Since pump settings do not correspond in any meaningful way to insulinPeakTime and insulinEndTime, and since very few users know how to tune those values manually, the safety bounds for autotuning insulinPeakTime are simply set as a range of acceptable values for each insulin activity curve type: 35-100m peak for ultra-rapid, and 50-120m for others.  Both curves enforce a minimum insulinEndTime of 5h, with (currently) no maximum.
Terminology note: insulinEndTime is currently equated with DIA, but this may need to be changed to improve understanding.  DIA, as used by Medtronic and others, refers to the duration over which 90% of insulin activity occurs.  In the exponential insulin activity curve model, but the insulinEndTime parameter is the time after which insulin activity is modeled to reach zero.  See https://github.com/LoopKit/Loop/issues/388#issuecomment-317938473 for details on the exponential curves used in OpenAPS.  As a result, the best-fit insulinEndTime is usually at least 2x as long as what users considered their DIA to be in normal pump use.  Users should not be surprised if the insulinEndTime / DIA calculated by autotune is considerably longer than what they would use in their insulin pump.  Such long times do not indicate a problem with the autotune process: they're simply a result of the fact that insulin activity exponentially decays and takes a really long time to get completely down to zero.

Discussion: what are reasonable peak time? I am not necessarily comfortable with the above proposed defaults, without testing this on a wider set of data to see the range of tuned values.

I think I need to build a dev rig that uses this and test it out. The ranges feel very wide. They may not be unreasonable, but given the data from clamp testing is generally a mean from a population, assuming a normal distribution I think these seem quite wide.

I've installed 0.7.0 dev(edison), but this code with autotune peaktime doesn't work. --tune-dia-and-peak=true - unknown option. but with --tune-insulin-curve=true
I have errors:

/root/src/oref0/lib/autotune-prep/index.js:30
let minDeviations = 1000000;
^^^^^^^^^^^^^
SyntaxError: Unexpected identifier
at Module._compile (module.js:439:25)
at Object.Module._extensions..js (module.js:474:10)
at Module.load (module.js:356:32)
at Function.Module._load (module.js:312:12)
at Module.require (module.js:364:17)
at require (module.js:380:17)
at Object. (/root/src/oref0/bin/oref0-autotune-prep.js:23:16)
at Module._compile (module.js:456:26)
at Object.Module._extensions..js (module.js:474:10)
at Module.load (module.js:356:32)
Could not run oref0-autotune-prep ns-treatments.2018-05-27.json profile.json ns-entries.2018-05-27.json

If your nodejs doesn’t like let that means you didn’t use the most recent install script, which upgrades you to node 8. We could probably change all instances of let to var for backwards compatibility though.

Same symptoms as @vanzaam . Node -v gives v0.10.29. (which is 10?? or not?, version numbering confuses me)
One other thing is that when I a set the branch to tune-dia-and-peak and did git pull I was already "Already up-to-date."?

The first number provides the major revision, so v0.10.29 is prior to
version 1 which is very old, so you need to update to version 8 to fix the
compatibility issue.
Already-up-to-date from the git pull command means your local copy matches
the copy in your GitHub branch, so you should be good to go.
On Thu, May 31, 2018 at 5:49 AM Tore Bjørndalen<EMAIL_ADDRESS>wrote:

Same symptoms as @vanzaam https://github.com/vanzaam . Node -v gives
v0.10.29. (which is 10?? or not?, version numbering confuses me)
One other thing is that when I a set the branch to tune-dia-and-peak and
did git pull I was already "Already up-to-date."?
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When working on the new curves last summer, I noticed even an 10 minute change to the peak made a fairly large change in the maths, so going down to 35 minutes from he default peak of 55 sounds like a huge default delta. +/-20% tuning would be 10 minutes either way?

+/-20% is a good rule of thumb for things that affect the total expected impact of insulin delivery, and therefore can directly result in +/-20% insulin delivery.  The insulin timing parameters don't change the total area under the curve, though, so we can safely vary them much more, to better reflect the data, without risking hypos or DKA.  We still need to run this algorithm (and various other fitness functions, such as RMS, sum of deviations, etc.) against multiple people's NS instances to see how much variance in insulinPeakTime and insulinEndTime we get from real-world data, but I expect that a 35 minute peak would be quite rare.  It will probably be pretty common to see peaks extended by 20m or more, though.

@jpcunningh thanks. I installed v8. I ran with option --tune-insulin-curve=true not --tune-dia-and-peak=true as stated by @scottleibrand .

(Reminder - this branch is off of 0.7.0-dev. 0.7.0 and all related feature branches should not be used on primary rigs and should be closely monitored as they are highly WIP).

I wouldn't make any changes to your pump at this point.  We need to run this over multiple weeks worth of data, on multiple people's NS data, and see if it always converges on sensible values for insulinPeakTime and insulinEndTime.

I’m looking forward to testing this. My gut feel is that over a longer period of time it should Autotune in some good mean peak and end times, but on shorter time frame data, we may find that timings change with ISF/exercise.
I haven’t read through the code fully yet, but is there a weighting factor applied, similarly to ISF and CR?

Just tried running this on 0.7.0-Dev and got :
Unknown option: true

Use an = instead of a space. (I do that all the time.)

Hmm. Did that and still got the same error.

Please paste your (carefully redacted) command-line.

root@ReddyEddyGo:~/myopenaps# oref0-autotune --dir=autotune --ns-host=https://nsmon.herokuapp.com --start
-date=2018-06-26 --tune-insulin-curve=true```

Is the command line that isn't working.

@tim2000s what was the error with that?  Only thing I see is you might need a fully qualified path for your --dir= argument.  Also make sure you're running this branch's version of oref0-autotune...

Scott, I tried to run:
oref0-autotune --dir=~/myopenaps --ns-host=https://xxxxx.herokuapp.com --start-date=2018-07-14 --tune-insulin-curve=true
On 0.7.0-dev and got "unknown option: true" as well

The whole point of this PR is that it hasn’t been merged to 0.7.0-dev yet.

The whole point of this PR is that it hasn’t been merged to 0.7.0-dev yet.
D'oh. Just call me Mr Thicky.

I've gone to a fresh rig, pulled everything anew and run oref0-setup from scratch using the tune-dial-and-peak branch and I'm still getting the following:
root@ed201:~# git-branch
  master
* tune-dia-and-peak
root@ed201:~/src/oref0# oref0-autotune --dir=/root/myopenaps/ --ns-host=https://site.herokuapp.com --start-date=2018-06-28 --end-date=2018-07-01 --tune-insulin-curve=true
Option true unknown
Unknown options. Exiting
root@ed201:~/src/oref0#

Did you also npm run global-install?

I’ll do that, but thought it wasn’t necessary when doing a fresh install!

Issue resolved - may also resolve my issues with the autosens history branch that I was having.

Been playing with this today. On a three day dataset it took 2hrs 40mins to run on an Edison/EXB OpenAPS rig, and on a day's data it took 40 mins, so I'm not sure you'd want it running as part of the overnight process without further optimisation.
On the other hand the output looks reasonable.

Finally got it to run. Looks interesting and good, but I would agree. It took about 2 hours to run two days worth of data (I feel bad saying anything because its not like I know how to fix it!)

When I was experimenting with RMS deviations, I modified the IOB/insulin activity formulas to return values with offsets from the current settings of +/- 1, 2, 4, and 8 minutes.  The time spent actually doing the actual calculations is minimal, so there wasn't much impact when doing the calculations vs. the implementation here, which does a great deal more work per step.
To iteratively find optimal times I manually used the secant method to find the lowest-deviation values for DIA and peak time, which I assumed would converge quickly enough to track reality and day-to-day changes in site performance.  It worked well enough to converge at values close to what I see with this implementation, although it arrived at the values more quickly than I believe this will, although in practice I suspect +/- 5 mins and an hour for insulin cutoff as done in this PR is sufficient.  It seems to be working well enough for me over the last few days.

Further to this I've noticed that when I'm running this branch of Autotune, the insulin peak time isn't changing based on the preferences.json.
I'm running FIasp with the ultra-rapid curve selected in prefs and it's tuning to the rapid-acting curve instead for DIA and Insulin Peak time (i.e. peak is testing from 65 to 85 mins).
If it's not picking up the correct curve for tuning DIA and peak, is it picking up the correct curve for Autotune full stop under normal circumstances?
Extract from Autotune log:
insulinEndTime 5 meanDeviation: 2.13 SMRDeviation: 1.517 RMSDeviation: 2.782 (mg/dL)
insulinEndTime 6 meanDeviation: 2.031 SMRDeviation: 1.466 RMSDeviation: 2.637 (mg/dL)
insulinEndTime 7 meanDeviation: 2.095 SMRDeviation: 1.51 RMSDeviation: 2.717 (mg/dL)
insulinEndTime 8 meanDeviation: 2.089 SMRDeviation: 1.501 RMSDeviation: 2.713 (mg/dL)
insulinEndTime 9 meanDeviation: 2.289 SMRDeviation: 1.638 RMSDeviation: 2.966 (mg/dL)
insulinPeakTime 65 meanDeviation: 3 SMRDeviation: 2.146 RMSDeviation: 3.803 (mg/dL)
insulinPeakTime 70 meanDeviation: 2.024 SMRDeviation: 1.451 RMSDeviation: 2.637 (mg/dL)
insulinPeakTime 75 meanDeviation: 2.095 SMRDeviation: 1.51 RMSDeviation: 2.717 (mg/dL)
insulinPeakTime 80 meanDeviation: 2.125 SMRDeviation: 1.528 RMSDeviation: 2.754 (mg/dL)
insulinPeakTime 85 meanDeviation: 2.173 SMRDeviation: 1.574 RMSDeviation: 2.802 (mg/dL)

and preferences extract:
{
        "max_iob": 12,
        "max_daily_safety_multiplier": 5,
        "current_basal_safety_multiplier": 6,
        "autosens_max": 1.9,
        "autosens_min": 0.1,
        "rewind_resets_autosens": true,
        "autosens_adjust_targets": true,
        "adv_target_adjustments": true,
        "maxCOB": 180,
        "override_high_target_with_low": false,
        "skip_neutral_temps": false,
        "bolussnooze_dia_divisor": 7,
        "min_5m_carbimpact": 5,
        "carbratio_adjustmentratio": 1,
        "autotune_isf_adjustmentFraction": 0.5,
        "remainingCarbsCap": 90,
        "enableUAM": true,
        "enableSMB_with_bolus": true,
        "enableSMB_with_COB": true,
        "enableSMB_with_temptarget": true,
        "maxSMBBasalMinutes": 90,
        "curve": "ultra-rapid",
        "useCustomPeakTime": false,
        "insulinPeakTime": 75,
        "enableSMB_always": true,
        "allowSMB_with_high_temptarget": true,
        "enableSMB_after_carbs": true,
        "high_temptarget_raises_sensitivity": true,
        "low_temptarget_lowers_sensitivity": true,
        "sensitivity_raises_target": true,
        "resistance_lowers_target": true,
        "exercise_mode": true,
        "unsuspend_if_no_temp": true,
        "pushoverGlances": true,
        "MaxUAMSMBBasalMinutes": 60,
        "A52_risk_enable": true

Changing the value of curve was making no difference to the peak settings it was using.
Digging around in autotune-prep files and index.js, it looks as though autotune is using insulinPeakTime from preferences.json as the driver of what to use for autotuning and it is using this anywhere where InsulinPeakTime is required, as opposed to picking up the curve as the indicator. I think this is present in the following lines:
https://github.com/openaps/oref0/blob/8e920cc2b964e8cd183375b5bf7907ea57bcf5fc/lib/autotune-prep/index.js#L26-L35
In testing it, changing the value of insulinPeakTime in preferences.json seems to be the only thing changing how the Insulin Peak Time changes in the output, so more work may be required to detect and adjust based on curve rather than this value.

After playing with this some more, when I run insulin peak time of 75 mins on the same data, I’d expect it to result in a peak time of 65 (ie the lowest) but instead it goes to 70, where with a peak time of 55 it remains at 55. I suspect we may need to do some more work on this.

It's only allowed to move insulinPeakTime 5 minutes per run, and only if the RMS and MAD are both better 5m in the direction of the minimum RMS/MAD (out of the current, +/-5m, and +/-10m runs).  So most days it won't change anything, but over the course of several weeks of data it should converge.  Does that match what you're seeing?

Okay. That looks more like what I’ve seen.  Need to go back and check the various outputs.

Given it’s Fiasp I’m testing with, I went into the code and widened the insulinPeakTime range from +/-10 mins to +/-20 mins.
The result came back with a peak time of 40 mins from a previous of 55 mins. I need to repeat today to determine whether that was a one off or something else going on.

Ok, I'm not sure you're using it as designed/intended.  It's supposed to incrementally and gradually adjust settings to get to the ideal value, not jump there all at once.

That’s what I expected to happen. By broadening the range I wanted to see what the RMS and MAD values came out at, but by doing that it also jumped 15 mins in a single hit, which I wasn’t expecting as I thought it would be bound!

Let me find it.

First up - the diff:
root@ed201:~/src/oref0/lib/autotune-prep# diff index.js index.js.old
108,109c108,109
<       var startPeak=opts.profile.insulinPeakTime - 20;
<       var endPeak=opts.profile.insulinPeakTime + 30;
---
>       var startPeak=opts.profile.insulinPeakTime - 10;
>       var endPeak=opts.profile.insulinPeakTime + 10;

And this was the out-put that surprised:
insulinEndTime 5 meanDeviation: 2.419 SMRDeviation: 2.113 RMSDeviation: 2.845 (mg/dL)
insulinEndTime 6 meanDeviation: 2.477 SMRDeviation: 2.162 RMSDeviation: 2.88 (mg/dL)
insulinEndTime 7 meanDeviation: 2.524 SMRDeviation: 2.208 RMSDeviation: 2.923 (mg/dL)
insulinEndTime 8 meanDeviation: 2.545 SMRDeviation: 2.222 RMSDeviation: 2.944 (mg/dL)
insulinEndTime 9 meanDeviation: 2.611 SMRDeviation: 2.286 RMSDeviation: 3.005 (mg/dL)
insulinPeakTime 35 meanDeviation: 1.679 SMRDeviation: 1.334 RMSDeviation: 2.132 (mg/dL)
insulinPeakTime 40 meanDeviation: 1.725 SMRDeviation: 1.43 RMSDeviation: 2.119 (mg/dL)
insulinPeakTime 45 meanDeviation: 1.997 SMRDeviation: 1.738 RMSDeviation: 2.355 (mg/dL)
insulinPeakTime 50 meanDeviation: 2.397 SMRDeviation: 2.102 RMSDeviation: 2.802 (mg/dL)
insulinPeakTime 55 meanDeviation: 2.524 SMRDeviation: 2.208 RMSDeviation: 2.923 (mg/dL)
insulinPeakTime 60 meanDeviation: 2.188 SMRDeviation: 1.918 RMSDeviation: 2.56 (mg/dL)
insulinPeakTime 65 meanDeviation: 2.27 SMRDeviation: 1.992 RMSDeviation: 2.654 (mg/dL)
insulinPeakTime 70 meanDeviation: 2.282 SMRDeviation: 1.996 RMSDeviation: 2.688 (mg/dL)
insulinPeakTime 75 meanDeviation: 2.328 SMRDeviation: 2.033 RMSDeviation: 2.763 (mg/dL)
insulinPeakTime 80 meanDeviation: 2.352 SMRDeviation: 2.057 RMSDeviation: 2.798 (mg/dL)
insulinPeakTime 85 meanDeviation: 2.355 SMRDeviation: 2.063 RMSDeviation: 2.816 (mg/dL)
oref0-autotune-core autotune.2018-07-30.json profile.json profile.pump.json > newprofile.2018-07-30.json
Best insulinEndTime for meanDeviations: 5 hours
Best insulinEndTime for RMSDeviations: 5 hours
Adjusting insulinEndTime from 7 to 6 hours
Best insulinPeakTime for meanDeviations: 35 minutes
Best insulinPeakTime for RMSDeviations: 40 minutes
Adjusting insulinPeakTime from 55 to 40 minutes

Yeah, that won't work.  In autotune/index.js it assumes there are only 5 elements in the peakDeviations and diaDeviations arrays, with the middle one being the current:
        var currentPeakMeanDev = peakDeviations[2].meanDeviation;
        var currentPeakRMSDev = peakDeviations[2].RMSDeviation;

That makes sense. Ta.

Just did a test run on a 0.7.0 rig.
Best insulinEndTime for meanDeviations: 1 hours
Best insulinEndTime for RMSDeviations: 1 hours
Leaving insulinEndTime unchanged at 3
Best insulinPeakTime for meanDeviations: 85 minutes
Best insulinPeakTime for RMSDeviations: 85 minutes
Adjusting insulinPeakTime from 75 to 80 minutes

Question:  I would expect it to set insulinEndTime to 2 hours in this case.

How did you get an insulinEndTime of 3? The minimum should be 5h.
It won't always move things in the direction of the "best" value: it just changes things one "step" in that direction if both the mean and RMSDeviations are better at the next step.  In other words, if all four comparisons don't agree it's better to shorten (or lengthen) it, it will remain unchanged.

I am using a standalone VM to run this, as I am open looping. Wanted to share to see if this helps testing at all:
ref0-autotune-core autotune.2018-08-19.json profile.json profile.pump.json > newprofile.2018-08-19.json
Best insulinEndTime for meanDeviations: 6 hours
Best insulinEndTime for RMSDeviations: 6 hours
Adjusting insulinEndTime from 5 to 6 hours
/home/seth/src/oref0/lib/autotune/index.js:98
var currentPeakMeanDev = peakDeviations[2].meanDeviation;
^
TypeError: Cannot read property 'meanDeviation' of undefined
at tuneAllTheThings (/home/seth/src/oref0/lib/autotune/index.js:98:51)
at Object. (/home/seth/src/oref0/bin/oref0-autotune-core.js:60:27)
at Module._compile (module.js:410:26)
at Object.Module._extensions..js (module.js:417:10)
at Module.load (module.js:344:32)
at Function.Module._load (module.js:301:12)
at Function.Module.runMain (module.js:442:10)
at startup (node.js:136:18)
at node.js:966:3
false
Warning: API_SECRET is not set when calling oref0-autotune.sh
(this is only a problem if you have locked down read-only access to your NS).
Could not run oref0-autotune-core autotune.2018-08-19.json profile.json profile.pump.json

@sethgagnon does autotune.2018-08-19.json look complete?

@scottleibrand here is the contents of the file:
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Thanks.  I'll see if I can reproduce the problem locally with your NS URL and enable some debugging to see why you got that error.

no prob. if its something just specific to me, dont  worry about it. i know
you have better things to be looking at then an issue that is only relevant
to me.
On Mon, Aug 20, 2018 at 4:47 PM Scott Leibrand<EMAIL_ADDRESS>wrote:

Thanks. I'll see if I can reproduce the problem locally with your NS URL
and enable some debugging to see why you got that error.
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Seth Gagnon

Try adding "insulinPeakTime": 75, to your profile.json and see if that fixes it.

I was able to reproduce the problem, and fix it with https://github.com/openaps/oref0/commit/d6bf57de6e6aeec0784417786a3e2c5e3f696efa

Now that this is in the Dev branch, is there anywhere to document that for the DIA and Peak Time tuning, you need to set InsulinPeakTime in preferences.json to the correct value as it doesn’t pick this data up from the selected curve?

@tim2000s can you paste the incorrect output, and the relevant settings files needed to reproduce?

preferences.json:
        "max_iob": 12,
        "max_daily_safety_multiplier": 5,
        "current_basal_safety_multiplier": 6,
        "autosens_max": 1.9,
        "autosens_min": 0.1,
        "rewind_resets_autosens": true,
        "autosens_adjust_targets": true,
        "adv_target_adjustments": true,
        "maxCOB": 180,
        "override_high_target_with_low": false,
        "skip_neutral_temps": true,
        "bolussnooze_dia_divisor": 7,
        "min_5m_carbimpact": 5,
        "carbratio_adjustmentratio": 1,
        "autotune_isf_adjustmentFraction": 0.5,
        "remainingCarbsCap": 90,
        "enableUAM": true,
        "enableSMB_with_bolus": true,
        "enableSMB_with_COB": true,
        "enableSMB_with_temptarget": true,
        "maxSMBBasalMinutes": 90,
        "curve": "ultra-rapid",
        "useCustomPeakTime": false,
        "insulinPeakTime": 55,
        "enableSMB_always": true,
        "allowSMB_with_high_temptarget": true,
        "enableSMB_after_carbs": true,
        "high_temptarget_raises_sensitivity": true,
        "low_temptarget_lowers_sensitivity": true,
        "sensitivity_raises_target": true,
        "resistance_lowers_target": true,
        "exercise_mode": true,
        "unsuspend_if_no_temp": true,
        "pushoverGlances": true,
        "MaxUAMSMBBasalMinutes": 60,
        "A52_risk_enable": true

and the log file from the run:
oldCR: 5.932 fullNewCR: 5.244 newCR: 5.588
p50deviation: 1.03 p50BGI -0.97 p50ratios: 0.195 Old ISF: 31.666 fullNewISF: 6.175 adjustedISF: 24.687 newISF: 30.27 newDIA: 7 newPeak: 75

Autotune pump profile recommendations:
---------------------------------------------------------
Recommendations Log File: /root/myopenaps//autotune/autotune_recommendations.log

/usr/local/bin/oref0-autotune-recommends-report: line 25: warning: setlocale: LC_NUMERIC: cannot change locale (en_US.UTF-8): No such file or directory
Parameter      | Pump     | Autotune
-------------------------------------
ISF [mg/dL/U]  | 43.200   | 30.270
Carb Ratio[g/U]| 7.000    | 5.588
Basals [U/hr]  | -        |
  00:00        | 0.850    | 0.740
  01:00        | 0.800    | 0.725
  02:00        | 0.750    | 0.681
  03:00        | 0.650    | 0.645
  04:00        | 0.700    | 0.665
  05:00        | 0.850    | 0.750
  06:00        | 0.900    | 0.700
  07:00        | 0.900    | 0.718
  08:00        | 0.900    | 0.702
  09:00        | 0.900    | 0.758
  10:00        | 0.900    | 0.762
  11:00        | 0.900    | 0.765
  12:00        | 0.900    | 0.763
  13:00        | 0.950    | 0.764
  14:00        | 0.900    | 0.764
  15:00        | 0.950    | 0.770
  16:00        | 0.900    | 0.758
  17:00        | 0.900    | 0.756
  18:00        |          | 0.729
  19:00        | 0.950    | 0.732
  20:00        | 0.850    | 0.754
  21:00        | 0.850    | 0.817
  22:00        | 0.850    | 0.831
  23:00        | 0.900    | 0.816

There is no data in the file for the DIA or peak adjustments.

Just pushed a potential fix to dev (thanks @PieterGit for pointing out the missing === true stuff): @tim2000s can you re-test?  If it's still missing insulinPeakTime, can you also include the output of grep -h insulin autotune/autotune.2018-08-2*.log | tail -20

If we are open looping using AndroidAPS, how can we edit our peak time to have the oref algo use it?

I’m not familiar with that detail of the AndroidAPS implementation, so you might want to ask in their Gitter.

@sethgagnon: yes its called free peak oref, you set the peaktime in the settings....

@scottleibrand - pulled in the updated dev and still seeing the same issue. There’s no difference in my output files.

@scottleibrand - just realised that the lack of info about insulin action times was user error. Rectified that and will report the outcome. Had assumed that action time calculation was set to automatically true as they were being output in the log, but they still need flagging.
Does raise a concern that they default to DIA 7 hours and peak at 75 mins even when not being run though, rather than picking up defaults from the preferences.json file.

Okay, the re-run has caused a change in DIA and peak, once I'd corrected the settings, but I'm still seeing it starting at 75mins on fiasp.
p50deviation: 1.51 p50BGI -3.61 p50ratios: 0.606 Old ISF: 35.122 fullNewISF: 21.284 adjustedISF: 32.242 n
ewISF: 34.546 newDIA: 6 newPeak: 70

Autotune pump profile recommendations:
---------------------------------------------------------
Recommendations Log File: /root/myopenaps//autotune/autotune_recommendations.log

and output from the grep:
insulinEndTime 5 meanDeviation: 1.337 SMRDeviation: 0.752 RMSDeviation: 2.011 (mg/dL)
insulinEndTime 6 meanDeviation: 1.272 SMRDeviation: 0.689 RMSDeviation: 1.964 (mg/dL)
insulinEndTime 7 meanDeviation: 1.296 SMRDeviation: 0.692 RMSDeviation: 2.013 (mg/dL)
insulinEndTime 8 meanDeviation: 1.297 SMRDeviation: 0.692 RMSDeviation: 2.029 (mg/dL)
insulinEndTime 9 meanDeviation: 1.296 SMRDeviation: 0.684 RMSDeviation: 2.043 (mg/dL)
insulinPeakTime 65 meanDeviation: 1.236 SMRDeviation: 0.68 RMSDeviation: 1.886 (mg/dL)
insulinPeakTime 70 meanDeviation: 1.253 SMRDeviation: 0.67 RMSDeviation: 1.941 (mg/dL)
insulinPeakTime 75 meanDeviation: 1.296 SMRDeviation: 0.692 RMSDeviation: 2.013 (mg/dL)
insulinPeakTime 80 meanDeviation: 1.319 SMRDeviation: 0.705 RMSDeviation: 2.063 (mg/dL)
insulinPeakTime 85 meanDeviation: 1.342 SMRDeviation: 0.71 RMSDeviation: 2.116 (mg/dL)
Best insulinEndTime for meanDeviations: 6 hours
Best insulinEndTime for RMSDeviations: 6 hours
Adjusting insulinEndTime from 7 to 6 hours
Best insulinPeakTime for meanDeviations: 65 minutes
Best insulinPeakTime for RMSDeviations: 65 minutes
Adjusting insulinPeakTime from 75 to 70 minutes

One thing I’ve run into with this is that my rig overheated (no airflow issues) while charging and calculating insulinPeakTime sonit stopped looping.

I’ve spent a fair bit of time playing with this this afternoon. The logic for invoking the 55 minute peak time seems to be evaluating to false constantly, and I think this is because it is not evaluating the opts.profile.curve === "ultra-rapid"  expression correctly, as it defaults to 75, which suggests that it is evaluating the customPeakTime expression without issue.
Not sure why not though, as I’ve tried multiple iterations of it this afternoon.

Might want to double check your input files: grep -r curve * | grep json | grep rapid

This was the output:
preferences.json:        "curve": "ultra-rapid",
settings/pumpprofile.json:  "curve": "ultra-rapid",
settings/autotune.json:   "curve": "rapid-acting",
settings/profile.json:  "curve": "ultra-rapid”,
I think this is a similar issue to the one where you switch from >1 ISF, in that Autotune reuses its last version of a profile, so even when you update preferences, it perpetuates incorrect data.

Yep, looks like it. Do we have an issue open on that? Want to work with me on figuring out and fixing the root cause?

@tim2000s  @scottleibrand Just reading these issues again. I think the issue you raised at https://github.com/openaps/oref0/pull/1018#issuecomment-415908598 is managed with issue
https://github.com/openaps/oref0/issues/1093 and resolved with @jpcunningh PR https://github.com/openaps/oref0/pull/1101
@tim2000s Can you confirm that this is correct?

I believe so. I never double checked though. @jpcunningh should be able to confirm.

@tim2000s, @PieterGit, and @scottleibrand, #1101 doesn't maintain the curve, but something very similar could be submitted that pulls the curve from the pumpprofile.
I created PR #1174 to do that. Comments are welcome as I haven't spent a lot of time thinking through all of the scenarios.