# CLAUDE.md This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. ## Project overview `platz` (German: "Sitzplatzverteilung" / seating arrangement) is a genetic-algorithm-based solver that assigns people to tables ("Tische") for an event, given group memberships, table sizes/neighbor relationships, and a penalty scheme. It reads an XML order/guest list and INI table layout, runs a small custom GA framework to search for a good seating, 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`). It will not run under Python 3 without a 2to3-style port. There is no build system, test suite, or linter configured in this repo. `requirements.txt` exists but is empty/commented — everything used is standard library — it's there only so `bin/install_py.*` has something to install into the `.venv`. ## Running the program Entry point is `libs/platz.py`, invoked via the scripts in `bin/` (each provided as a `.bat`/`.sh` pair, following the "Standard Programm Template" convention — see `~/.claude/CLAUDE.md` for the template rules): - `bin/setenv.bat` / `bin/setenv.sh` — derives `PLATZ` from the script's own location (no path editing needed), sets `PLATZ_BIN`, `PLATZ_CFG`, `PLATZ_LIBS`, `PLATZ_WORK`, `PLATZ_IN`, `PLATZ_OUT`, adds `PLATZ_LIBS` to `PYTHONPATH` (idempotently), and creates missing folders. Sourced by every other script; not normally invoked directly. The `.sh` variant must be sourced (`source bin/setenv.sh`), not executed. - `bin/install_py.bat` / `bin/install_py.sh` — calls `setenv`, then creates `.venv` (via `py -m venv` / `python3 -m venv`) and `pip install -r requirements.txt` if `.venv` doesn't already exist. - `bin/activate_venv.bat` / `bin/activate_venv.sh` — calls `setenv`, then activates the existing `.venv` (errors out if `install_py` hasn't been run yet). - `bin/get_cmd.bat` / `bin/get_cmd.sh` — calls `setenv`, then opens a new shell with the `PLATZ_*` environment already set. - `bin/platz.bat` / `bin/platz.sh` — calls `setenv`, then runs `python "$PLATZ_LIBS/platz.py"`. This is the actual program entry point (replaces the old `bin/run` / `bin/run.bat`, which hardcoded absolute paths and have been removed). `libs/platz.py` requires a command-line switch `--indir ` (parsed with `optparse`, since this is Python 2) pointing at a directory that holds the per-run input files and receives the output files — e.g. `work/test1/`, `work/test2/`, or any new folder following the same layout: - `tische.ini` — table definitions: id, `Nummer`, `Hof` (venue/court), `Plaetze` (seats), `Nachbarliste` (neighbor table ids), `Koordinaten`. - `bestellung.xml` — the guest order: `` blocks containing `` (with `Vorname`/`Nachname`/optional `Titel`) and an `` (reservation count per person template — this expands into that many identical bookings), plus optional `` to pin a VIP group to a specific table. - Output (written back into the same `--indir` directory): `TischePersonen.txt` (table → seated people) and `PersonenTische.csv` (person → table, sorted). `cfg/platz.cfg` (still located via `$PLATZ_CFG`, independent of `--indir`) only selects the GA cycle/penalty config: - `cfg/zyklus.cfg` — defines the GA run schedule ("Zyklus"): a sequence of actions (`e`=erzeugen/create, `s`=selektieren/select-best, `S`=random-select, `m`=mutieren/mutate, `j`=behalten/keep parents, `z`=neue Generation/advance generation) each with a count. - `cfg/strafen.cfg` — the penalty ("Strafpunkte") table: cost of splitting a group across tables (by group size and number of splits), cost of a lone person, and per-table under-utilization penalties. `tische.ini`/`bestellung.xml`/`TischePersonen.txt`/`PersonenTische.csv` are fixed filenames resolved as `os.path.join(indir, ...)` in `platz.py` — they are no longer configured in `platz.cfg`. ## Architecture Two library modules under `libs/`, imported via `PYTHONPATH=$PLATZ_LIBS`: ### `ga.py` — generic genetic-algorithm scaffolding Domain-agnostic and reusable in principle: - `Loesung` ("Solution") — base class for anything bred/mutated/selected by the GA. Meant to be subclassed; `Sitzplatzverteilung` in `Strukturdaten.py` is the concrete solution type used here. - `Zyklus` ("Cycle") — parses `Abfolge`/`Anzahl` strings (from `zyklus.cfg`) into the ordered list of GA actions and their counts for one run. - `Farm` — owns the population (`Pool`/`PoolNeu`), and executes a `Zyklus` action-by-action against instances of a given solution class (passed as `Klasse` plus its constructor args/kwargs). `Bester()` returns the fittest (`max()`) solution found; solutions are ordered via `__cmp__` on `self.value`. ### `Strukturdaten.py` — domain model for this specific seating problem - `Person`, `Gruppe` (group — a `Set` of people, splittable via `teilen()`), `Tisch` (table — a `Gruppe` subclass with a seat capacity and neighbor-table ids). - Container/index classes: `Personen`, `Gruppen`, `Tische`, and `Plaetze` ("Seats") which indexes tables by how many free seats they currently have, to answer "give me a table with at least N free seats" or "give me two neighboring tables that together fit two groups of given sizes" efficiently during placement/mutation. - `Strafliste` ("Penalty list") — loads `strafen.cfg` and computes penalty points for: splitting a group (`gibPunkte('Trennung', ...)`, recursing to smaller group sizes if no exact rule is configured), a person sitting with no group-mate at their table (`'allein'`), a person having no group-mate at a *neighboring* table (`'nichtNachbar'`), and poor seat utilization at a table (`'Tischbesetzung'`). - `Sitzplatzverteilung` ("Seating arrangement") — the actual `Loesung` subclass bred by the GA. Constructor seats VIPs first at pinned tables, then randomly seats groups either largest-first or smallest-first (coin flip), splitting a group across two neighboring tables when no single table has enough free seats, recursively splitting further if needed, then calls `bewerten()` to score the arrangement per `Strafliste`. `mutieren()` picks the worst-scoring groups (`SchlechteGruppenTopX`), evicts them, and reseats them, hoping for a better score. `speichern()` writes the two output files. - `XMLConfig` — parses `bestellung.xml` into `Personen`/`Gruppen`/VIP-group/VIP-seat-map, expanding each `` template by its sibling `` into that many individual bookings, and treating any `` containing a `` tag as a VIP group pinned to that table rather than going through normal GA placement. ### Data flow through `platz.py` (`__main__`) 1. Parse `--indir` (required) from the command line via `optparse`. 2. Read `platz.cfg` to locate `zyklus.cfg`/`strafen.cfg` (env-var expansion via `os.path.expandvars`). 3. Load `Zyklus` (GA schedule), `Strafliste` (penalties), `Tische` (table layout, from `/tische.ini`). 4. Load `/bestellung.xml` via `XMLConfig` → people, groups, VIP group, VIP seat map. 5. Build a `Farm(Zyklus, Sitzplatzverteilung, Tische=..., Gruppen=..., Strafen=..., VIPListe=..., VIPs=...)`, which runs the whole GA cycle in its constructor. 6. Take `Farm.Bester()` and call `.speichern(...)` to write `/TischePersonen.txt` and `/PersonenTische.csv`. Both `libs/platz.py` and `libs/Strukturdaten.py` also have self-test code under `if __name__ == '__main__':` that exercises the classes directly with hardcoded sample data — useful as a reference for how the classes are meant to be constructed and used.