-
-
Notifications
You must be signed in to change notification settings - Fork 43
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
Feature Request: Filtering Manually Added Data #159
Comments
Hi, quick question we are using it for our app in fitness and in ios it is very good as we can flag if users enter manual data but for android there is no way to know. Really appreciate your feedback on it. |
As you can see here there is no option to filter out those options from health connect core client. If health connect adds it in the future we can implement it as well. But for now there is no way other than filtering them manually on JS side. To manually filter in JS side you can use react-native-health-connect/src/types/metadata.types.ts Lines 12 to 37 in d7faf11
Hope this helps you! |
However there is some issue regarding manual activities. As Health Connect not giving the correct value in metadata recordingMethod key it always giving 0 for unkown activity for all type of activities User case : I have added some steps manually to Google FIT and some data automatically recorded but when I fetch the records then in metadata for both type of activity recording method is 0. Please let me know if there is any workaround for that. Thanks in Advance. |
@matinzd @GSSPawanKumarSingh same issue for me, Health Connect always returns 0 for RecordingMethod, even if data were automatically tracked by Google Fit |
Is there any update? |
I have tried with the native side as well. But it still gives 0 for all activities. What I concluded that Google Fit does not writing whether the steps are manual or auto. We have to raise it to google directly. |
Currently the issue is still here. |
Feature Request: Filtering Manually Added Data
Description: I would like to request a feature that allows for the filtering of manually added data. Specifically, I am looking for the ability to:
Use Case: This feature is particularly useful when distinguishing between actual data collected by devices (like steps counted by a phone or a wearable) and any entries manually added by the user. It allows for more accurate tracking and reporting of physical activity and other health metrics.
Is this something that could be added or integrated into the library? Thank you for considering this request!
The text was updated successfully, but these errors were encountered: