Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update NS site from AutotuneWeb #18

Open
yiyoMX opened this issue Jul 16, 2019 · 4 comments
Open

Update NS site from AutotuneWeb #18

yiyoMX opened this issue Jul 16, 2019 · 4 comments

Comments

@yiyoMX
Copy link

yiyoMX commented Jul 16, 2019

Hi, it would be helpful if we could update the NS profile from the results, in an semi automated way.

@MarkMpn
Copy link
Owner

MarkMpn commented Jul 28, 2019

I had planned to have an option to automatically update the profile originally, but I now have a couple of problems with this:

  1. I'm not confident enough in the results to have people automatically using them without reviewing them. If you have to re-type them from the results email into NS, I'd hope this would give people enough pause to review and think about what they're doing
  2. For there to be an option of updating the profile from within AutotuneWeb, I'd need to hold a token that gives me write access to your NS, which I'm not comfortable with at all

If there's a way of providing the results that makes it easier to import into NS, but still essentially forces the user to review what the changes are rather than blindly copying them over, I could have a look at that.

@yiyoMX
Copy link
Author

yiyoMX commented Jul 28, 2019

It should have an online view of the suggested changes, then a checkbox on each change, and a select all suggested changes, which enables a button to upload to NS, and an input to type-in your NS API Key.
This could be semi automatic, but better than typing each suggestion, with the risk of mistyping the values.

@haspden
Copy link

haspden commented Sep 2, 2019

...agree that the cons and security risks outweigh the benefits here.

IMO I believe that manually typing them also makes you more aware of any large changes, when you're changing a 0.5u/hr basal to 1.3u/hr you're going to think hold on that doesn't look quite right and second guess and investigate.

I also think it's worth keeping in mind that AutoTune data needs to be taken with a pinch of salt... It's only as good as the data entered, and gives an idea of the direction of which things should be changed but it's not an exact science as body is not as simple as a mathematical machine... Remembering that you know your body better than an algorithm is key (as amazing as oref1 is ) 👍

@yiyoMX
Copy link
Author

yiyoMX commented Sep 2, 2019 via email

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants