Files
platz/README.md
T
Michael Stangl 9de80d2f2a Web-M1-Ausbau: JSON-Gaesteliste, GA-Verlauf, Python-Serversteuerung, tische.ini-Upload
- bestellung.xml -> bestellung.json: neuer JSONConfig (loest XMLConfig ab),
  alle work-Beispiele konvertiert, Doku (CLAUDE/README/dateiformate) umgestellt
- ga.py: Beobachtungsobjekt Entwicklung zeichnet den Loesungsverlauf auf,
  neuer Schalter --show-development erzeugt Entwicklung.svg (beste/mittlere/
  schlechteste Wertigkeit ueber die Zyklus-Aktionen)
- web/main.py: neuer Endpunkt /tische-datei (tische.ini-Upload, ast.literal_eval),
  Frontend kann jetzt eine tische.ini laden
- libs/webserver.py: plattformunabhaengige start/stop/status-Steuerung der
  Web-Testinstanz (ersetzt run_web_helper.ps1), raeumt auch verwaiste
  --reload-Prozessbaeume zuverlaessig auf
- Sicherheit/Modernisierung: eval() -> ast.literal_eval in Tische/Strafliste,
  sicherer Mini-Auswerter fuer die String-Ausdruecke in zyklus.cfg,
  defaultdict(set) in Plaetze
- SVG: Tischnummer fett zentriert im Tischkreis statt "Tisch x" darueber
- Tests: JSONConfig, Entwicklung und der Zyklus-Auswerter abgedeckt (9 Tests)

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-11 12:49:42 +02:00

133 lines
5.0 KiB
Markdown

# platz
A genetic-algorithm-based solver that assigns people to tables ("Tische") for an event,
given group memberships, table sizes/neighbor relationships, and a configurable penalty
scheme. It reads a guest list (XML) and a table layout (INI), searches for a good seating
using a small custom GA framework, and writes the result to text/CSV output files.
**This is Python 3 code** (migrated from an original Python 2 implementation). There are no
third-party dependencies (standard library only), so `requirements.txt` is empty — it
exists only so `bin/install_py` has something to install.
## Project structure
```
platz/
├── bin/ # environment + launcher scripts (.bat + .sh pairs)
├── cfg/ # GA cycle definition and penalty scheme
├── libs/ # the two Python modules (ga.py, Strukturdaten.py, platz.py)
├── tests/ # unittest suite for Strukturdaten.py
└── work/ # per-run input (table layout, guest list) and output
├── test1/
└── test2/
```
- `libs/platz.py` — entry point; wires together config, input data, and the GA run.
- `libs/ga.py` — generic genetic-algorithm scaffolding (`Loesung`, `Zyklus`, `Farm`,
`Entwicklung`).
- `libs/Strukturdaten.py` — domain model for the seating problem (`Person`, `Gruppe`,
`Tisch`, `Strafliste`, `Sitzplatzverteilung`, `JSONConfig`).
## Running the tests
```bash
python -m unittest discover -s tests -p "test_*.py" -v
```
If a stray global `PYTHONPATH` entry shadows the standard-library `tests` package name
(unrelated to this project), clear it for the command, e.g. `PYTHONPATH= python -m
unittest discover -s tests -p "test_*.py" -v`.
## Setup
1. Install a Python interpreter (`py` on Windows / `python3` on Linux/macOS must be on
`PATH`).
2. Run the installer for your platform to create a `.venv` and install `requirements.txt`:
```bat
:: Windows
bin\install_py.bat
```
```bash
# Linux/macOS
bin/install_py.sh
```
All `bin/` scripts derive `PLATZ` automatically from their own location (no path editing
required) by calling `setenv.bat`/`setenv.sh` first.
## Running
```bat
:: Windows
bin\activate_venv.bat
bin\platz.bat --indir work\test1
```
```bash
# Linux/macOS
source bin/activate_venv.sh
bin/platz.sh --indir work/test1
```
`bin/platz.bat` / `bin/platz.sh` call `setenv` to set `PLATZ`, `PLATZ_CFG`, `PLATZ_LIBS`,
`PLATZ_WORK`, `PLATZ_IN`, `PLATZ_OUT`, add `PLATZ_LIBS` to `PYTHONPATH`, and then run
`libs/platz.py`, forwarding any extra arguments (like `--indir`) to it.
Other helper scripts (`bin/setenv.*`, `bin/get_cmd.*`) follow the same environment
convention:
- `setenv` — sets all `PLATZ_*` environment variables and creates missing folders; sourced
by every other script, not normally called directly.
- `activate_venv` — activates the `.venv` created by `install_py`.
- `get_cmd` — opens a new shell with the `PLATZ_*` environment already set.
### Configuring a run
`--indir <dir>` is required and points at a directory containing the input files and
receiving the output files for one run — e.g. `work/test1/` or `work/test2/`:
- `tische.ini` — one section per table: `Nummer`, `Hof` (venue/court), `Plaetze` (seat
count), `Nachbarliste` (neighboring table ids), `Koordinaten`.
- `bestellung.json` — `{ "gruppen": [ ... ] }`, each group with a `"personen"` list
(`vorname`/`nachname`/optional `titel`), an optional `"anzahl"` (how many bookings to
expand each person into), an optional `"name"` (display label) and an optional `"tisch"`
(pins the group as a VIP group to that table instead of placing it via the GA).
To run against a different dataset, create a new folder with a `tische.ini` and
`bestellung.json` following the same layout and pass it via `--indir`.
`cfg/platz.cfg` still selects the GA cycle/penalty config (independent of `--indir`):
```ini
[Config]
Zyklusdatei=$PLATZ_CFG/zyklus.cfg
Zyklusart=Easy
Strafendatei=$PLATZ_CFG/strafen.cfg
```
`cfg/zyklus.cfg` defines the GA run schedule ("Zyklus") as an `Abfolge` (sequence of
actions) and matching `Anzahl` (counts): `e` create, `s` select best, `S` select randomly,
`m` mutate, `j` keep parents, `z` advance generation.
`cfg/strafen.cfg` defines the penalty scheme: cost of splitting a group across tables (by
group size and number of splits), cost of a person sitting alone or without a group-mate at
a neighboring table, and per-table seat-utilization penalties.
### Output
A run writes two files into the `--indir` directory:
- `TischePersonen.txt` — table → seated people, with venue/table/seat numbers.
- `PersonenTische.csv` — person → table, sorted alphabetically by name.
Pass `--tosvg` to additionally write `Sitzplatzverteilung.svg` into the `--indir`
directory: tables are drawn as white circles, people as colored circles inside their
table's circle (color = group). See `doc/docu_tests.md` for example renderings.
## Further details
See `CLAUDE.md` for a deeper architectural walkthrough of the GA framework and domain
model, intended for AI coding assistants but equally useful for human contributors.