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Incorrect recommendations after turning on dynamic settings first time #393

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simonp22 opened this issue Aug 21, 2024 · 18 comments
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bug Something isn't working

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@simonp22
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Describe the bug

Turned on dynamic ISF/CR for the first time. Loop ran. My predicted BG was -1120 and I got a notification saying that I needed to eat 3658g of carbs. When the next loop ran everything was back to normal

Attach a Log

TrioLogs.txt

To Reproduce

Steps to reproduce the behavior:

  1. Turned on dynamic ISF/CR for the first time
  2. Wait for loop to run
  3. See error

Expected behavior

A sensible recommendation

Setup Information (please complete the following information):

Smartphone:

  • Hardware: iPhone 15 Pro Max
  • OS Version: iOS 17.5.1

Pump:

  • Manufacturer: Insulet
  • Model: Omnipod Dash

CGM:

  • Device: Dexcom G7
  • Manager app: Dexcom App

Trio Version:

  • Version Number: 0.2.0
  • Repo: nightscout/trio
  • Git Reference: c04d33e

Technical Details

If applicable, provide any technical details that might help in diagnosing the problem. This could include logs, error messages, or relevant configuration details.

Additional context

Add any other context about the problem here.

@simonp22 simonp22 added bug Something isn't working needs-triage labels Aug 21, 2024
@Sjoerd-Bo3 Sjoerd-Bo3 added this to Trio Aug 21, 2024
@simonp22
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Looking at the logs the first loop seems to be using a TDD of 1, when my past 24h TDD was actually 70.5U

Using weighted TDD average: 1 U, instead of past 24 h (70.5 U), weight: 0.65

@bjornoleh
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Thanks for the report.

You’ll find the relevant code around here, the oref0 for Trio is in a separate repository (although you’ll also find a copy of the JavaScript code in the Trio repo)

https://github.com/nightscout/trio-oref/blob/363fd116bf69d728502a46f1df0f842a05944c7b/lib/determine-basal/determine-basal.js#L648

@simonp22
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I believe the issue comes from

My swift is a bit rusty, but looks as if something is causing currentTDD to be 0. Which could be because I had to reinstall Trio around the 13/08/2024 so don't have the 10 days of data we are looking for on L134

requestTDD.predicate = NSPredicate(format: "timestamp > %@ AND tdd > 0", tenDaysAgo as NSDate)

@bjornoleh
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You might be onto something here. But why would the result change at the next loop? You’d still be missing the data from ten days ago?

@simonp22
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simonp22 commented Aug 22, 2024

True. However previous to turning on the dynamic settings I was never able to see my TDD anywhere. And TDD looks like it defaults to 0.0

It now appears in the Suggestion/enacted popup since turning on the dynamic settings. Do we know where TDD is first saved to the store? Could it be that TDD does not have a value until after the first loop with dynamic settings on?

@bjornoleh
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bjornoleh commented Aug 22, 2024

The TDD data are stored in Trio/monitor/oref2_variables.json on the phone.

Here is a sample after running with nearly 24 hours of sim pump data (with external insulin added to fake 24 hours of pump history)

{
  "duration" : 0,
  "isEnabled" : false,
  "isf" : false,
  "smbIsOff" : false,
  "isfAndCr" : false,
  "smbIsScheduledOff" : false,
  "unlimited" : true,
  "uamMinutes" : 40,
  "useOverride" : false,
  "advancedSettings" : false,
  "past2hoursAverage" : 2.75,
  "weightedAverage" : 2.75,
  "date" : "2024-08-22T11:21:44.990Z",
  "presetActive" : false,
  "hbt" : 160,
  "overridePercentage" : 100,
  "overrideTarget" : 0,
  "start" : 0,
  "end" : 0,
  "cr" : false,
  "average_total_data" : 2.75,
  "smbMinutes" : 50
}

And here is the initial state before running with 24 hours of data (or possibly on the first run, I’m not sure).

Edit: the below is similar to what this file looks like with a clean install, no dynamic ISF and no pump history.

image

After clean install:

{
  "useOverride" : false,
  "smbIsScheduledOff" : false,
  "end" : 0,
  "average_total_data" : 0,
  "uamMinutes" : 40,
  "isf" : false,
  "presetActive" : false,
  "smbMinutes" : 50,
  "hbt" : 160,
  "unlimited" : true,
  "smbIsOff" : false,
  "start" : 0,
  "date" : "2024-08-22T12:25:11.293Z",
  "overridePercentage" : 100,
  "cr" : false,
  "overrideTarget" : 0,
  "past2hoursAverage" : 0,
  "isfAndCr" : false,
  "duration" : 0,
  "isEnabled" : false,
  "weightedAverage" : 1,
  "advancedSettings" : false
}

@bjornoleh
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But I think the raw TDD estimates per loop is being stored to core data, which I don’t know too much about. I did notice that the average TDD values were persisted when I tried to delete the json files.

Someone else will probably be able to tell you more about the core data storage if you can’t figure it out yourself.

@simonp22
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Yeah I think what is happening is that the TDD that is fetched from core data doesn't have a value and defaults to 0.

The only place I can see in the codebase where the TDD core data is saved is

try? self.coredataContext.save()

But for that line to be hit, TDD has to be above 0 to begin with.

@simonp22
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Confirmed by looking at the logs for the loop before dynamic settings were enabled

2024-08-21T08:03:27+0100 [OpenAPS] OpenAPS.swift - determineBasal(currentTemp:clock:) - 80 - DEV: SUGGESTED: {
    "temp": "absolute",
    "bg": 194,
    "tick": "+13",
    "eventualBG": 233,
    "insulinReq": 3.1,
    "reservoir": 3735928559,
    "deliverAt": "2024-08-21T07:03:27.741Z",
    "sensitivityRatio": 1.2,
    "CR": 6.5,
    "TDD": 0,
    "current_target": 99,
    "insulinForManualBolus": 4.47,
    "manualBolusErrorString": 0,
    "minDelta": 8.3889,
    "expectedDelta": -9.4,
    "threshold": 3.9,
    "predBGs": {
        "IOB": [
            194,
            198,
            202,
            205,
            207,
            208,
            208,
            208,
            207,
            205,
            203,
            200,
            196,
            192,
            188,
            185,
            182,
            179,
            177,
            174,
            172,
            170,
            168,
            166,
            165,
            163,
            162,
            160,
            159,
            158,
            157,
            156,
            156,
            155,
            154,
            154,
            153,
            153,
            152,
            152,
            152,
            152,
            151
        ],
        "ZT": [
            194,
            188,
            182,
            176,
            170,
            165,
            160,
            155,
            151,
            147,
            143,
            140,
            137,
            134,
            131,
            129,
            128,
            126,
            125,
            124,
            124,
            123,
            123,
            123,
            123,
            124,
            125,
            125
        ],
        "UAM": [
            194,
            202,
            209,
            215,
            221,
            227,
            232,
            237,
            241,
            244,
            248,
            250,
            253,
            255,
            256,
            257,
            258,
            258,
            257,
            256,
            255,
            253,
            251,
            249,
            247,
            246,
            244,
            243,
            242,
            241,
            240,
            239,
            238,
            238,
            237,
            236,
            236,
            235,
            235,
            235,
            234,
            234,
            234,
            234,
            234,
            234,
            233
        ]
    },
    "COB": 0,
    "IOB": 3.455,
    "BGI": -0.3,
    "deviation": 4.8,
    "ISF": 1.7,
    "target_bg": 5.5,
    "reason": "Autosens ratio: 1.2, ISF: 2→1.7, COB: 0, Dev: 4.8, BGI: -0.3, CR: 6.5, Target: 5.5, minPredBG 10.7, minGuardBG 11.2, IOBpredBG 8.4, UAMpredBG 12.9; Eventual BG 12.9 >= 5.5,  insulinReq 3.1; maxBolus 0.6. Microbolusing 0.6U. adj. req. rate: 7.35 to maxSafeBasal: 3, temp 0.45<3U/hr. ",
    "units": 0.6,
    "duration": 30,
    "rate": 3
}

You can see that TDD here is 0 and is not calculated until dynamic ISF is enabled in
https://github.com/nightscout/trio-oref/blob/363fd116bf69d728502a46f1df0f842a05944c7b/lib/determine-basal/determine-basal.js#L412

@simonp22
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Proposed solution in nightscout/trio-oref#31 to always calculate the TDD whether dynamicISF is enabled or not

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hey 👋 - silence for 30 days 🤐 ... anybody? triage is required!

@github-actions github-actions bot added the stale label Sep 23, 2024
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github-actions bot commented Oct 7, 2024

closed 📴 because silencio 🤫 since an additional 14 days after staleness 📠

@github-actions github-actions bot closed this as not planned Won't fix, can't repro, duplicate, stale Oct 7, 2024
@github-project-automation github-project-automation bot moved this to Done in Trio Oct 7, 2024
@simonp22
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After a review on nightscout/trio-oref#31, this could be re-opened

@bjornoleh
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bjornoleh commented Dec 10, 2024

@dnzxy , is this related to weightedAverage not always being calculated, as recently discussed in Discord [in a private chat]?

@bjornoleh bjornoleh reopened this Dec 10, 2024
@simonp22
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I've missed this Discord discussion, which channel is it in?

@bjornoleh
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I've missed this Discord discussion, which channel is it in?

Oh, sorry, my bad. It was probably in a DM.

@dnzxy
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dnzxy commented Dec 10, 2024

Possibly, not entirely sure from the context here.
Nothing I would want to touch in 0.2.x though.

@simonp22
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The weighted average would defiitely be affected by this change, but only before dynamicISF is turned on for the first time

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