btaib.blogg.se - september 2023

Starting out: download all of your data and create your db by running garmindb_cli.py -all -download -import -analyze in a terminal.

Copy to ~/.GarminDb/GarminConnectConfig.json, edit it, and add your Garmin Connect username and password and adjust the start dates to match the dats of your data in Garmin Connect.With Python installed, install the latest release with pip by running pip install garmindb in a terminal. The scripts create some default views in the DBs that make browsing the data easier. Once you have your data in the DB, I recommend using a supplied Jupyter notebooks and/or SQLite browser like SQLite Studio or DB Browser for SQLite for browsing and working with the data. Retain downloaded JSON and FIT files so that the DB can be regenerated without connecting to or redownloading data from Garmin Connect.Graph your data from the commandline or with Jupyter notebooks.Summarizing data into a DB with tables containing daily, weekly, monthly, and yearly summaries.

A summary table for all activities and more detailed data for some activity types.

Download and import activity files from Garmin Connect.

Extract sleep, weight, and resting heart rate data from Garmin Connect, store it as JSON files, and import it into the DB.

Automatically download and import Garmin daily monitoring files (all day heart rate, activity, climb/descend, stress, and intensity minutes) from the user's Garmin Connect "Daily Summary" page.

SQLite is a light weight database that doesn't require a server. Python scripts for parsing health data into and manipulating data in a SQLite database.