Initial commit: Arbeitsorte-Logger + data-safety/robustness/input work

Existing app (single-file Tkinter/ttkbootstrap desktop tool for logging
blood-drive work assignments and mapping them) plus the first round of
improvements:

- Data safety: atomic CSV writes (tmp + fsync + os.replace), rotating
  backups in data/backups/ (startup + before every change, keep 20),
  fallback to empty/backup on missing/empty/corrupt orte.csv.
- Geocoder robustness: per-item try/except so the worker thread survives
  failures; GeocodingUnavailable + one-time "service unreachable" dialog.
- Input: DateEntry calendar picker with parse_date() validation; manual
  lat/lon fields in the edit dialog; Tab 2 highlights/filters rows without
  coordinates and adds a right-click "Koordinaten suchen".
- Logging to data/app.log; shared autocomplete helpers; config constants;
  map fit_bounds.

docs/ describes current state, architecture, data model, setup (Linux Mint),
and the full improvement roadmap. data/orte.csv is gitignored for now.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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2026-09-07 18:28:28 +02:00
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# Setup & running
Target machine: **Linux Mint laptop**, single non-technical user. The goal is
that day-to-day use is a **double-click**, with the terminal only needed once
during install.
## 1. System packages
Tkinter is not bundled with the system Python on Mint and must be installed
separately:
```bash
sudo apt update
sudo apt install python3-tk python3-venv python3-pip
```
## 2. Get the code
Put the project folder somewhere stable, e.g. `~/Apps/DRK_Blutspende_Orte`.
## 3. Create a virtual environment and install dependencies
```bash
cd ~/Apps/DRK_Blutspende_Orte
python3 -m venv .venv
.venv/bin/pip install -r requirements.txt
```
`requirements.txt`:
```
ttkbootstrap==1.10.1
geopy>=2.4.1
folium>=0.17.0
pandas>=2.2.0
```
> Only `ttkbootstrap` is pinned exactly. For a machine you hand to someone else,
> consider pinning all four (see [improvements.md](improvements.md#5-packaging--distribution)).
## 4. Run it
```bash
.venv/bin/python app.py
```
The window should open. `data/orte.csv` is created automatically on first run if
it is missing.
## 5. Make it a double-click launcher
### Launcher script
Create `run.sh` in the project root:
```bash
#!/usr/bin/env bash
cd "$(dirname "$0")"
exec .venv/bin/python app.py
```
```bash
chmod +x run.sh
```
### Desktop entry
Create `~/.local/share/applications/drk-blutspende-orte.desktop`:
```ini
[Desktop Entry]
Type=Application
Name=DRK Blutspende Arbeitsorte
Comment=Einsatzorte protokollieren und auf der Karte anzeigen
Exec=/home/USER/Apps/DRK_Blutspende_Orte/run.sh
Icon=/home/USER/Apps/DRK_Blutspende_Orte/icon.png
Terminal=false
Categories=Utility;
```
Replace `USER` with the real username. Add any PNG as `icon.png` (the DRK logo
works well). The entry then shows up in the Mint menu and can be pinned to the
panel or the desktop.
## Python / Tk version
Python 3.9+ is fine (the code uses `from __future__ import annotations`). The
system Python on current Mint releases is well above that.
`ttkbootstrap` needs **Tk 8.6 or newer**. Linux Mint's `python3-tk` provides
that. The macOS CommandLineTools Python used during development ships Tk 8.5 and
**cannot run the GUI** — see [dev-notes.md](dev-notes.md).
## Updating
```bash
cd ~/Apps/DRK_Blutspende_Orte
git pull # once the project is in git
.venv/bin/pip install -r requirements.txt
```
## Data location
All state is in `data/orte.csv` next to `app.py`. To back up the app, copy that
one file. To move to a new laptop, copy the whole folder and redo steps 1 & 3.