Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

Fix OpenAPI wf
add quantitative flexibility measurements / estimations
quality control for TS and JS
timezone check; check stated timezone in workout logs are consistent with the definition: CEST spans from the last Sunday in March to the last Sunday in October. start by checking that workout logs timezone data for November -> February are not CEST
download db.yml and run python analysis and plotting code on it, using: interact-with-google-drive
deploy and host containerized app on Raspberry Pi
Add muscle groups to log file name
ML models (Scikit Learn)
Bodily strength-ratio tracking (determine baseline, ideal-ranges, and compare the two)
Dashboard
Add key exercises (benchpress, squat, deadlift) to dashboard
Hosting on PyPi (automated deploy with GitHub Actions)
Identify musclegroups and exercises with best or worst progression
Add cardio tracking (integrate app with Strava)

This CHANGELOG file
FastAPI app "Fitness-Tracker", with TinyDB backend, exposed through Docker container
Program logging (Located in folder: logs)
Plotting with the Seaborn library
Tech Docs, auto-generated by Sphinx and hosted on readthedocs
Multiple unit test suites (Pytest)
BDD (Behavior Driven Development, using the Behave framework)
Multiple GitHub Actions workflows
Data quality validation (Pydantic, Great Expections)
Package dependency management (Poetry)
KPI tracking: 1-Rep-Max estimation (Epley and Brzycki formulas)
Realistic workout data simulation (with naturally progressing trend over time)
Catalogue of musclegroups, corresponding exercises and suggested weight ranges (for simulations)