daylio-parser 0.3.0

A Python module to parse Daylio exports

daylio-parser

A Python module to parse Daylio CSV exports

Development

Install poetry, tox and tox-poetry.

Installing the virtual env:

$ poetry install

Switching into the venv:

$ poetry shell

Running test for the current python version:

$ green tests/

Running all checks with tox prior to running GitHub actions:

$ tox

TODO

• Parse CSV into entries (parser.py)
• Implement MoodConfig (config.py) to allow multiple moods
  • Plus a default config for clean Daylio installs
• Stats
  • Mood stability algorithm
  • Average moods by day
  • Average mood by activity
  • Find mood periods — aka periods of moods meeting certain criteria
  • Generate data for tag clouds (i.e. find most used words in notes)
  • Extend mood period search — search above, below and in between thresholds
• Prepare data for plotting
  • Splitting entries into bands
  • Interpolating data for smooth charts
  • Calculating rolling mean
• Re-export data into other formats
  • JSON