Tic-Tac-Toe Gauntlet
A terminal tic-tac-toe game that gets harder the more you win. Beat the random Rookie to unlock the rule-based Contender, then the unbeatable Minimax Champion. Every game and move is streamed into a local DuckDB database.
Built with Python + uv + Pydantic + Textual + DuckDB.
Quickstart
No clone, no database setup — the database is created on first run.
uvx ttt-gauntlet play # try it without installing anything
Or install it:
pip install ttt-gauntlet
ttt-gauntlet play # play the gauntlet (interactive TUI)
ttt-gauntlet stats # see your record
(uvx ships with uv; pipx run ttt-gauntlet play
works the same way.)
How it plays
- You are X and always move first.
- Win to advance to the next tier. Lose or draw to replay the tier.
- Progress is remembered across sessions —
ttt-gauntlet playresumes just past your best win. Force a tier withttt-gauntlet play --level 3. - A live stats panel sits to the right of the board — record, current/best win streak, average moves per win, win rate per tier, and a trend of your recent results — refreshed after every game.
Controls: click a square (or navigate with the keyboard), N to continue after
a game, Q to quit.
The difficulty ladder
| Level | Tier | Engine |
|---|---|---|
| 1 | Rookie | Random legal move |
| 2 | Contender | Heuristic: win → block → center → corner → edge |
| 3 | Champion | Minimax — optimal, cannot be beaten |
Architecture
The rules engine and the AI are pure and UI-agnostic, so the same logic backs the game, the opponents, and the tests.
src/ttt/
models.py # Pydantic models (Board, GameEvent, …)
engine/game.py # pure tic-tac-toe rules (single source of truth)
opponents/ # Opponent abstraction + random / heuristic / minimax + ladder
data/db.py # DuckDB connection + GameRepository
tui/app.py # Textual UI (thin: renders + dispatches only)
cli.py # Typer commands: play / stats
Data model
game_events is an append-only event stream — the source of truth for
everything that happens (game_started / move_made / game_ended). The
games and moves tables are projections written alongside it to keep common
queries simple.
The database lives at $XDG_DATA_HOME/ttt/ttt.duckdb (or
~/.local/share/ttt/ttt.duckdb). Override with TTT_DB_PATH.
Roadmap
Planned features are written up as one-file specs — these are the units of work fed to the OpenHands PR automation.
Development
Requires uv.
git clone https://github.com/cmacdonald0514/tictactoe.git
cd tictactoe
uv sync # install dependencies
uv run ttt-gauntlet play # run from the working tree
uv run pytest # unit tests (engine, opponents, persistence)
uv run ruff check # lint
uv run ruff format # format
Releasing
Bump version in pyproject.toml and merge to master. The release workflow
compares that version against the previous commit and publishes to PyPI via
Trusted Publishing when it changes;
merges that leave the version alone publish nothing.
Metadata
Release files for ttt-gauntlet 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ttt_gauntlet-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 53.9 kB
Release files / ttt_gauntlet-0.2.0.tar.gz
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