- 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>
5.0 KiB
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
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
-
Install a Python interpreter (
pyon Windows /python3on Linux/macOS must be onPATH). -
Run the installer for your platform to create a
.venvand installrequirements.txt::: Windows bin\install_py.bat# 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
:: Windows
bin\activate_venv.bat
bin\platz.bat --indir work\test1
# 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 allPLATZ_*environment variables and creates missing folders; sourced by every other script, not normally called directly.activate_venv— activates the.venvcreated byinstall_py.get_cmd— opens a new shell with thePLATZ_*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/optionaltitel), 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):
[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.