# 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 2 code** (print statements, `ConfigParser`, `sets.Set`, `UserList`, `string.split`, old-style `raise Exception, "msg"`, `xrange`, `dict.has_key`, `dict.iteritems`). 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) └── 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`). - `libs/Strukturdaten.py` — domain model for the seating problem (`Person`, `Gruppe`, `Tisch`, `Strafliste`, `Sitzplatzverteilung`, `XMLConfig`). ## 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 ``` ```bash # Linux/macOS source bin/activate_venv.sh bin/platz.sh ``` `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`. 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 `cfg/platz.cfg` selects which cycle/penalty config and which working directory (`work//`) to use for a given run: ```ini [Config] Zyklusdatei=$PLATZ_CFG/zyklus.cfg Zyklusart=Easy Strafendatei=$PLATZ_CFG/strafen.cfg Tischedatei=$PLATZ_WORK/test1/tische.ini XMLdatei_Bestellung=$PLATZ_WORK/test1/bestellung.xml AusgabeTischePersonen=$PLATZ_WORK/test1/TischePersonen.txt AusgabePersonTisch=$PLATZ_WORK/test1/PersonenTische.csv ``` To run against a different dataset, point the `Tischedatei`/`XMLdatei_Bestellung`/output entries at another `work//` folder, or add a new one following the same layout: - `tische.ini` — one section per table: `Nummer`, `Hof` (venue/court), `Plaetze` (seat count), `Nachbarliste` (neighboring table ids), `Koordinaten`. - `bestellung.xml` — `` blocks, each with a `` template (`Vorname`/`Nachname`/optional `Titel`) and an `` (how many bookings to expand that template into). A `` containing a `` tag is treated as a VIP group pinned to that table instead of being placed by the GA. `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 configured working directory: - `TischePersonen.txt` — table → seated people, with venue/table/seat numbers. - `PersonenTische.csv` — person → table, sorted alphabetically by name. ## 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.