A Python module to parse Daylio exports
Project description
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:
$ 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
- Color generator for situations when there's too many moods
- 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
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
daylio-parser-0.2.0.tar.gz
(6.8 kB
view hashes)
Built Distribution
Close
Hashes for daylio_parser-0.2.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8be0275619317f53d2bb407fa169143c257b115d93f9b0fe82e7177cae11dc2a |
|
MD5 | 1982806f313b353c1a1f2da1307aa6e5 |
|
BLAKE2b-256 | 6a74055efb516e6a92e9d153d146aaa76a3aa3c886f8c54f5f2e6c8cfcfe82ae |