Improve the usability of the Daylio CSV export and explore reports around your data
This Python 3 CLI took will convert a Daylio CSV export into a more usable CSV and a SQLite database.
What is Daylio? Read on this doc page.
This daylio-csv-parser application parses a CSV exported from Daylio (in premium mode) to create a more useful CSV.
In particular, the activities column with multiple activities listed in a single cell is split out into multiple columns, with appropriate names and values as 0 or 1.
A summary of the command-line API is covered below.
Run the main script to read CSV exported from Daylio at a configured location and create a clean CSV.
$ make csvAssuming you have created a clean CSV using the step above, you can run any of these commands if you wish to. The order does not matter.
Create a database file from the cleaned CSV. You can then access data in the database.
$ make dbView a report around mood score aggregate stats.
$ ./mood_report.pyView a report on a stats model which was fitted your data.
$ ./fit_model.py
Released under MIT by @MichaelCurrin.