# Flowtrack

A private, self-hosted period tracker. It logs period days with flow and
symptoms, predicts the next six periods, and estimates the fertile window.
It installs on a phone home screen as a web app.

The app has no runtime dependencies beyond the Python standard library, and it
stores everything in one SQLite file. Nginx and Authelia provide the access
boundary.

## Predictions

- Periods are runs of logged period days. Spotting doesn't count, and one
  missing day inside a run doesn't split it.
- The cycle length is a weighted average of up to the last 12 cycles, with
  recent cycles counting more. Cycles shorter than 15 days or longer than 60
  are left out because they usually mean a log was missed.
- Each prediction is a range of ± the cycle's standard deviation (at least 2
  days, or 4 with fewer than three cycles). The range widens with √n for later
  cycles.
- Ovulation is estimated 14 days before the next period. The fertile window
  runs from 5 days before ovulation to 1 day after. These are estimates, not
  contraception.
- Once the expected day passes, the next period is expected from tomorrow,
  and later predictions move with it.

The logic lives in `static/cycle.js` and is tested in `tests/test_cycle.js`.

## Access

Nginx must overwrite `Remote-User` with the Authelia username. Users listed
with `--editor` can log and export. Users listed with `--viewer` see period
days and predictions only. They also see flow and symptoms if the owner turns
on sharing in Settings. Everyone else gets 403.

## Run locally

```sh
python3 app.py --database /tmp/flowtrack.sqlite3 --editor me --dev-user me
```

Then open `http://127.0.0.1:8093`.

## NixOS module

```nix
services.flowtrack = {
  enable = true;
  editors = [ "kayla" ];
  viewers = [ "fred" ];
  backup.directory = "/mnt/disk2/backups/flowtrack";  # nightly, keeps 30
};
```

`python3 app.py --database DB --backup-to DIR --keep N` takes a consistent
snapshot by hand.