128 Commits

Author SHA1 Message Date
daniel156161 c6ebb5834b auto remove stuck games
Build and Push Docker Container / build-and-push (push) Successful in 51s
2026-04-04 10:23:12 +02:00
daniel156161 dbcf9cadaf add more metrics data
Build and Push Docker Container / build-and-push (push) Successful in 1m2s
2026-04-04 09:58:11 +02:00
daniel156161 316870ef7a add enemy cut off trap check 2026-04-04 09:55:58 +02:00
daniel156161 b0d484dbab add dataset and models folder into git ignore file and change train-ai to get the input data from the dataset
Build and Push Docker Container / build-and-push (push) Failing after 12m11s
2026-04-04 00:00:33 +02:00
daniel156161 9e826afa5f add Training for AI and AI Model and allow to collect rl data from BestBattleSnake
Build and Push Docker Container / build-and-push (push) Successful in 1m36s
2026-04-03 23:19:09 +02:00
daniel156161 d3b0488e0f update python packages
Build and Push Docker Container / build-and-push (push) Successful in 1m32s
2026-04-03 21:51:13 +02:00
daniel156161 4e9a5595bc cahange battlsnake cli to https url
Build and Push Docker Container / build-and-push (push) Successful in 1m43s
2026-04-03 21:48:27 +02:00
daniel156161 8f938ce3fe Update BestBattleSnake Version to 2.6.0
Build and Push Docker Container / build-and-push (push) Failing after 23s
2026-04-03 21:40:31 +02:00
daniel156161 dfcdbae85b add better enemy constrictor projection 2026-04-03 21:39:08 +02:00
daniel156161 fb579e5fbc add customisable timeout buffer with env variable 2026-04-03 21:23:18 +02:00
daniel156161 8f6bc3cfdd add timeout budget when exeaded use quick save move before timeout 2026-04-03 21:17:08 +02:00
daniel156161 f124ce6f96 head hunt only when my snake is bigger and into dual mode 2026-04-03 20:57:33 +02:00
daniel156161 6ab0161b49 add types to function args 2026-04-03 20:44:03 +02:00
daniel156161 d7bd89eae9 add python doc strings 2026-04-03 20:21:12 +02:00
daniel156161 eace1872d7 move snake builder into __init__ of snakes file and use it into server class 2026-04-03 20:11:46 +02:00
daniel156161 0a3db6ba57 add versions to snakes and read it in server class 2026-04-03 19:57:55 +02:00
daniel156161 013ac98821 implement royale game mode and tighten spaces in duel mode 2026-04-03 19:26:56 +02:00
daniel156161 a3fe386198 use battlsnake cli from git repo and build client localy 2026-04-03 18:37:16 +02:00
daniel156161 8a431da014 add local client as submodule 2026-04-03 18:31:11 +02:00
daniel156161 19e4aee454 rework logging and add metrics and prometheus metrics 2026-04-03 18:26:31 +02:00
daniel156161 c8dd01490c add aiologger package 2026-04-03 18:01:38 +02:00
daniel156161 1e57ad1af6 add bootstrap script to start the server up the same way 2026-04-03 18:01:18 +02:00
daniel156161 4ca905fbf0 add quart common submodule 2026-04-03 17:38:52 +02:00
daniel156161 8e733dfe39 add script to analyse dataset 2026-04-03 15:45:54 +02:00
daniel156161 49f2e0b008 add more flags and allow to read more input file then one 2026-04-03 15:44:19 +02:00
daniel156161 37de34cc5e update to store and curate data correctly 2026-04-03 15:43:19 +02:00
daniel156161 3d7f92e20f use hypercorn in production without uv bload
Build and Push Docker Container / build-and-push (push) Successful in 48s
2026-04-03 14:58:41 +02:00
daniel156161 2d7a2505d4 create payload of json string and then save it
Build and Push Docker Container / build-and-push (push) Successful in 1m33s
2026-04-03 14:31:15 +02:00
daniel156161 a82eaaaec5 allow sync and async function calls 2026-04-03 14:10:38 +02:00
daniel156161 51de53d01c add dataset updates with doc updates
Build and Push Docker Container / build-and-push (push) Failing after 12m18s
2026-04-03 11:40:47 +02:00
daniel156161 2e1f91355b add Dataset Class and Tests 2026-04-03 10:35:21 +02:00
daniel156161 6b69d133b6 fix line spacing and make it look better 2026-04-03 10:30:35 +02:00
daniel156161 7d52d7dca8 add justfile for testing 2026-04-03 10:30:07 +02:00
daniel156161 a885b624f9 add new BestBattleSnake 2026-04-03 10:29:48 +02:00
daniel156161 9e3a62d8e8 update actions to new version:
Build and Push Docker Container / build-and-push (push) Successful in 1m27s
- checkout: v6
- setup-buildx-action: v4
- login-action: v4
- build-push-action: v7
2026-03-10 09:00:30 +01:00
daniel156161 9093ca0512 add calling of portainer Stack Webhook to update conteiner
Build and Push Docker Container / build-and-push (push) Successful in 1m30s
2026-01-06 13:41:06 +01:00
daniel156161 6e74b5fb57 change from sync to async and from flask to quart
Build and Push Docker Container / build-and-push (push) Successful in 1m35s
2026-01-06 13:36:43 +01:00
daniel156161 962d8b1043 update requirements 2026-01-06 13:36:06 +01:00
daniel156161 8ea9cbdcee add uv package manager and use it to build container 2026-01-06 13:35:55 +01:00
daniel156161 c458219125 remove migrations and add them into ignore file list
Build and Push Docker Container / build-and-push (push) Successful in 7m44s
2025-10-13 16:38:24 +02:00
daniel156161 a7a463ed91 add workflow action to build docker image when pushing onto main 2025-10-13 16:30:36 +02:00
daniel156161 5c1ef7f05f have largest turns first 2025-06-03 11:36:55 +02:00
daniel156161 d32568cdf2 order cleanup by turns 2025-06-03 11:11:33 +02:00
daniel156161 61721a7eb6 change request endpoints to async 2025-05-27 13:28:08 +02:00
daniel156161 bcc9c71c30 change from edgedb to gel 2025-05-15 09:56:01 +02:00
daniel156161 58bbbf3cbd allow to return cleaned up values 2025-05-15 09:55:12 +02:00
daniel156161 4d515f0784 init class when cleaning up 2025-04-28 17:06:49 +02:00
daniel156161 8424c324e8 fix function nameing 2025-04-28 16:14:04 +02:00
daniel156161 c5c2652f3a add cleanup code for storage classes 2025-04-28 13:36:34 +02:00
daniel156161 0768e7f254 not check tls certificat when connection to server by default 2025-03-08 12:13:46 +01:00
daniel156161 31d2e7ea55 add code to reconnect to database if connection is gettring broken or database getting a reboot 2025-03-08 11:32:19 +01:00
daniel156161 4b51ddc84d update requirements 2025-01-22 10:05:21 +01:00
daniel156161 31f5225100 update requirements 2024-11-29 11:26:30 +01:00
daniel156161 deb95c6246 update requirments 2024-06-27 12:21:04 +02:00
daniel156161 600cde4a3e add EdgeDB Migrations 2024-05-12 12:44:22 +02:00
daniel156161 e068fb8614 add function when not eat food to remove snake tail 2024-05-08 23:45:07 +02:00
daniel156161 80b7c4df89 fix typo in LocalStorage file path 2024-05-08 23:43:01 +02:00
daniel156161 da0347731c make deletion easyer when linked with other objects and make gameboard url into a function 2024-05-08 19:04:58 +02:00
daniel156161 a09c05b6ec only store one object of GameType and Ruleset when they already exists in the database 2024-05-08 16:11:44 +02:00
daniel156161 aba457423e only store one snake with the same type and move Calculations into moves as the array<json> type 2024-05-08 15:38:14 +02:00
daniel156161 bb92715de1 marke spots where to add constraint 2024-05-08 14:44:48 +02:00
daniel156161 cf45aa60aa remove calculations from snake and move it into moves 2024-05-08 14:40:47 +02:00
daniel156161 a58e9695dd fix single mode local storage 2024-05-08 14:39:17 +02:00
daniel156161 b57ae5eab2 store all games and set standard when gameboard map is empty 2024-05-07 19:00:33 +02:00
daniel156161 817b970623 game game_type and ruleset exclusive 2024-05-07 18:59:59 +02:00
daniel156161 c9e6947758 change only output when snake is in a duel 2024-05-06 11:23:13 +02:00
daniel156161 4a1fbf2752 fix nameing of type and rename function name 2024-05-06 11:17:44 +02:00
daniel156161 5b8bf0da31 move storage classes into server folder and fix error in localStorage when winner_snake is none 2024-05-06 09:13:43 +02:00
daniel156161 4a8cb40bde make winner snake into list 2024-05-06 02:55:14 +02:00
daniel156161 c5342c1f4d add seperator when more winners when useing edgedb 2024-05-06 00:50:56 +02:00
daniel156161 ac7c397093 add c to build the module edgedb 2024-05-05 22:50:02 +02:00
daniel156161 7dd46dd72b add env argument for StorageLoader to load correct module and use it when store game history is enabled 2024-05-05 22:12:14 +02:00
daniel156161 10c7f2656c edgedb: move Calculations into own type 2024-05-05 22:05:10 +02:00
daniel156161 f00efe607f remove Moves when GameBoard get removed 2024-05-05 21:00:29 +02:00
daniel156161 c333706b75 add class to store the data in the EdgeDB 2024-05-05 20:54:56 +02:00
daniel156161 917bd3f6bd add EdgeDB dataschema and module 2024-05-05 20:46:15 +02:00
daniel156161 83bcf4f194 make new LocalStorage Class and move save functions into it 2024-05-05 17:02:18 +02:00
daniel156161 ef4dca447f fix error where my snake got not found in avoid_get_eaten_by_other_snakes 2024-04-18 23:56:49 +02:00
daniel156161 db3a353090 change over to new Game Board class from old Game Storage class 2024-04-18 23:41:53 +02:00
daniel156161 1f4d17d42f add store functions to game board 2024-04-18 23:41:17 +02:00
daniel156161 f98430462b use new game board functions 2024-04-18 22:21:57 +02:00
daniel156161 c26824aeaf create a game board class 2024-04-18 22:20:07 +02:00
daniel156161 87690177a5 make find_safe_positions function be useable for more posisions 2024-04-18 19:52:19 +02:00
daniel156161 8a2a62ef57 add env variable for the server class debug 2024-04-18 17:16:23 +02:00
daniel156161 5796ce0a6e add function to calculate where the new snake body is with or with no tail based on the move that is taken 2024-04-18 17:14:49 +02:00
daniel156161 5522a52227 set TemplateSnake as default loaded snake 2024-04-18 16:59:28 +02:00
daniel156161 5743f5c111 print moves only if debug is on and better error handeling if running game into found in dict 2024-04-18 08:23:10 +02:00
daniel156161 9950fa1952 create env variable that allow to create a .env file if neaded 2024-04-17 20:09:57 +02:00
daniel156161 4620ee31eb split class name and print out with spaces 2024-04-17 20:09:34 +02:00
daniel156161 9103e3e139 store history into data folder 2024-04-17 19:57:39 +02:00
daniel156161 04eef9229c not store config file just read if exist or overwrite default_snake_config 2024-04-17 19:53:02 +02:00
daniel156161 7cb1fdc57d add sample env config to docker file 2024-04-17 19:29:49 +02:00
daniel156161 cceded8468 add function to overwrite snake config when its set as env and use smaller python alpine container as base 2024-04-17 19:29:18 +02:00
daniel156161 8c57e48f60 if got Key Error in move function create a new snake and calculate next best move 2024-04-17 15:55:37 +02:00
daniel156161 5ce12d70c1 remove pos where other snake head is to not go into a dead end or use the pos where the snake head could be to find new food 2024-04-17 15:17:09 +02:00
daniel156161 950351b407 add code to not get eaten when head is by food 2024-04-17 15:15:25 +02:00
daniel156161 12ac257d19 add option to overwrite color with env param 2024-04-17 13:43:58 +02:00
daniel156161 d4b54d48b9 when both posisions are not save keep them in safe posisions - remove other useless MasterSnake 2024-04-17 13:35:42 +02:00
daniel156161 034b0e361a save direction to kill the snake use the correct kill direction in overwrite_eat_the_other_snake can end in a draw when both heads are by the food 2024-04-17 12:22:54 +02:00
daniel156161 a57536b7cb remove functions that are in the TemplateSnake now and at to do if eating the food would kill the snake 2024-04-17 11:54:24 +02:00
daniel156161 a606ae6f94 add template code for a smart random snake 2024-04-17 11:53:21 +02:00
daniel156161 b364c6454e optimise game type constrictor to fill up most of the game board 2024-04-17 11:15:06 +02:00
daniel156161 b9a0bca4c6 remove not used function is_food_nearby 2024-04-17 10:54:18 +02:00
daniel156161 ea36d60b4d change code to not have a big choose_move function and add todos to try fix some problems in game 2024-04-17 09:33:35 +02:00
daniel156161 0fe4e6ac83 fix a error where self.safe_positions[0] can't be accest 2024-04-17 08:19:32 +02:00
daniel156161 93b2c8ba99 cleanup the code a bit more to use the self params 2024-04-16 21:47:40 +02:00
daniel156161 f6db5cb96a fix error in eat_the_snake_overwrite when more moves are posible 2024-04-16 00:52:18 +02:00
daniel156161 e3d7cccb64 remove my_snake output into server console 2024-04-16 00:35:46 +02:00
daniel156161 0eecbb774b store game turn in history file and add safe_positions output to ensure_escape_route calculation 2024-04-15 23:56:03 +02:00
daniel156161 9e0a919233 fix not used code for flood_fill_count 2024-04-15 23:44:47 +02:00
daniel156161 6d9df32076 add more debug outputs and use all the self.args when neaded in a specific function, make own variable to only store other snakes 2024-04-15 23:16:15 +02:00
daniel156161 863ca1b277 fix calculations and not run in snake tail when in constrictor game mode 2024-04-15 22:20:15 +02:00
daniel156161 16cab3a9ca change code to store safe_positions in class and remove self.directions 2024-04-15 21:56:53 +02:00
daniel156161 281b52e71d remove moving tail of snake when begin moves are done and not calculate own body in avoid_snakes because already avoid own body 2024-04-15 14:51:28 +02:00
daniel156161 38ba576de9 add .env var to set no save when win and turns are less or the same as the var 2024-04-15 03:29:20 +02:00
daniel156161 7457e66339 add in init to not store when win and moves are smaller or the param 2024-04-15 03:17:21 +02:00
daniel156161 b601b378c8 add game url in GameStorage if its not local 2024-04-15 03:06:01 +02:00
daniel156161 24e744f705 remove print in _get_correct_folder_for_save_file because its not neaded 2024-04-15 02:21:36 +02:00
daniel156161 39b16a1702 add function to avoid get eaten by head to head collisons when my snake is smaller else eat the other snake 2024-04-15 02:13:11 +02:00
daniel156161 87fe6550b2 change folder names to add numbers an the beginning of the folder name 2024-04-14 23:56:25 +02:00
daniel156161 c854b5fec9 remove prints and add a note that i neat to fix later 2024-04-14 23:33:11 +02:00
daniel156161 51108ce21c change game storage to save it into a nice folder structure 2024-04-14 23:32:49 +02:00
daniel156161 2f8e35aced create a better Master Snake that try to not hit itself 2024-04-14 21:32:43 +02:00
daniel156161 9869f14bbe Output Turns in server logs when doing moves 2024-04-14 21:32:10 +02:00
daniel156161 1154127a40 change history of GameStorage to calculations and remove snake_start add constrictor test in test_run scripts 2024-04-14 21:31:32 +02:00
daniel156161 ae1489240d use a specific seed 2024-04-14 16:39:28 +02:00
daniel156161 0af6d862d4 create .env file if its not exists 2024-04-14 13:36:59 +02:00
daniel156161 f472ddd0d9 fix error when creating GameStorage object 2024-04-13 12:06:51 +02:00
51 changed files with 7007 additions and 1570 deletions
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name: Build and Push Docker Container
on:
push:
branches:
- main
jobs:
build-and-push:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v6
with:
token: '${{ secrets.ACTION_ACCESS_TOKEN }}'
submodules: recursive
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v4
- name: Login to Docker Hub
uses: docker/login-action@v4
with:
registry: ${{ vars.DOCKER_REGISTRY_URL }}
username: ${{ secrets.DOCKER_REGISTRY_USERNAME }}
password: ${{ secrets.ACTION_ACCESS_TOKEN }}
- name: Build and push Docker image for latest tag
uses: docker/build-push-action@v7
with:
context: .
push: true
tags: ${{ vars.DOCKER_REGISTRY_URL }}/daniel156161/battlesnake:latest
platforms: linux/amd64
- name: Invoke Portainer Stack Deployment
if: ${{ vars.PORTAINER_STACK_WEBHOOK_URL && vars.PORTAINER_STACK_WEBHOOK_URL != '' }}
uses: distributhor/workflow-webhook@v3
with:
webhook_url: ${{ vars.PORTAINER_STACK_WEBHOOK_URL }}
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@@ -7,3 +7,10 @@
__pycache__/
data/
.env
.tools/
dbschema/migrations/
*.jsonl
dataset/
models/
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[submodule "quart_common"]
path = quart_common
url = git@git.yiprawr.dev:submodules/python-quart-common.git
[submodule "local-client"]
path = local-client
url = https://github.com/BattlesnakeOfficial/rules.git
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3.13
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FROM python:3.10.6-slim
FROM ghcr.io/astral-sh/uv:python3.13-trixie-slim
# Install app
COPY . /app
WORKDIR /app
# Install dependencies
RUN pip install --upgrade pip && pip install -r requirements.txt
RUN uv sync --no-config --frozen --compile-bytecode
# Run Battlesnake
CMD [ "python", "main.py" ]
# Starten Sie Ihre Anwendung
EXPOSE 8000
CMD [".venv/bin/hypercorn", "asgi:app", "--bind", "0.0.0.0:8000", "--workers", "1", "--websocket-ping-interval", "20", "--access-logfile", "-"]
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@@ -54,4 +54,112 @@ battlesnake play -W 11 -H 11 --name 'Python Starter Project' --url http://localh
Continue with the [Battlesnake Quickstart Guide](https://docs.battlesnake.com/quickstart) to customize and improve your Battlesnake's behavior.
## Included Competitive Snake
This repo now includes `snakes/BestBattleSnake.py`, a stronger default snake that combines:
- collision and head-to-head risk checks
- flood-fill space evaluation to avoid traps
- food routing that gets more aggressive as health drops
- tail access checks for better long-term survival
Run it explicitly with:
```sh
SNAKE=BestBattleSnake python main.py
```
Optional duel tuning (when only 2 snakes are alive):
```sh
BATTLE_SNAKE_DUEL_STYLE=balanced python main.py
```
Allowed values: `safe`, `balanced`, `aggressive`.
## Export Training Dataset
Game saves now include a `dataset` section with labeled move samples.
Export all stored samples to JSONL:
```sh
python -m server.DatasetExporter --input data --output data/dataset/good_moves.jsonl
```
Or with `just`:
```sh
just export-dataset
```
Curate a high-quality training subset (single file):
```sh
python -m server.DatasetCurator --input good_moves-2026-04-03.jsonl --output data/dataset/best_moves.jsonl
```
Curate from multiple JSONL sources (repeat `--input`):
```sh
python -m server.DatasetCurator \
--input good_moves-2026-04-03.jsonl \
--input good_moves-2026-04-04.jsonl \
--output data/dataset/best_moves.jsonl
```
Curate from folder or glob:
```sh
python -m server.DatasetCurator --input data/dataset --output data/dataset/best_moves.jsonl
python -m server.DatasetCurator --input "good_moves-*.jsonl" --output data/dataset/best_moves.jsonl
```
Append mode (keeps existing curated rows and deduplicates against them):
```sh
python -m server.DatasetCurator --input "good_moves-*.jsonl" --output data/dataset/best_moves.jsonl --append
```
Archive processed input files after curation:
```sh
python -m server.DatasetCurator --input "good_moves-*.jsonl" --output data/dataset/best_moves.jsonl --append --archive-input
python -m server.DatasetCurator --input "good_moves-*.jsonl" --output data/dataset/best_moves.jsonl --append --archive-input --archive-dir data/dataset/archive
```
Or with `just`:
```sh
just curate-dataset
just curate-dataset append=true
just curate-dataset append=true archive=true archive_dir=data/dataset/archive
```
Analyze dataset quality overall and by day (best game overall/day included):
```sh
python -m server.DatasetStats --input "good_moves-*.jsonl"
python -m server.DatasetStats --input data/dataset --output data/dataset/stats-report.json
```
The stats report now includes both:
- `best_game` (survival/length focused)
- `best_pressure_game` (high-pressure quality focused: fewer safe options + strong survival)
Or with `just`:
```sh
just analyze-dataset
just analyze-dataset input=data/dataset output=data/dataset/stats-report.json
```
To store compact dataset-only records (JSONL) and skip full per-game JSON files:
```sh
STORE_DATASET_ONLY=true DATASET_JSONL_PATH=data/dataset/good_moves.jsonl python main.py
```
Optional compact storage tuning:
- `DATASET_ROTATE_DAILY=true` creates one JSONL file per day (default: `true`)
- `DATASET_JSONL_MAX_MB=50` rotates when file reaches max size in MB (default: `50`)
- `DATASET_COMPRESS_ROTATED=true` gzip-compresses rotated/old JSONL files (default: `true`)
**Note:** To play games on [play.battlesnake.com](https://play.battlesnake.com) you'll need to deploy your Battlesnake to a live web server OR use a port forwarding tool like [ngrok](https://ngrok.com/) to access your server locally.
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from server.bootstrap import build_server_from_env
server = build_server_from_env(default_snake_type="TemplateSnake")
app = server.app
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GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, 19 November 2007
Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
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Developers that use our General Public Licenses protect your rights
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software used on network servers, this result may fail to come about.
The GNU General Public License permits making a modified version and
letting the public access it on a server without ever releasing its
source code to the public.
The GNU Affero General Public License is designed specifically to
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provide the source code of the modified version running there to the
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An older license, called the Affero General Public License and
published by Affero, was designed to accomplish similar goals. This is
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The precise terms and conditions for copying, distribution and
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TERMS AND CONDITIONS
0. Definitions.
"This License" refers to version 3 of the GNU Affero General Public License.
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@@ -1,53 +0,0 @@
# BattlesnakeOfficial/rules
[![codecov](https://codecov.io/gh/BattlesnakeOfficial/rules/branch/master/graph/badge.svg)](https://codecov.io/gh/BattlesnakeOfficial/rules)
[Battlesnake](https://play.battlesnake.com) rules and game logic, implemented as a Go module. This code is used in production at [play.battlesnake.com](https://play.battlesnake.com). Issues and contributions welcome!
## CLI for Running Battlesnake Games Locally
This repo provides a simple CLI tool to run games locally against your dev environment.
### Installation
Download precompiled binaries here: <br>
[https://github.com/BattlesnakeOfficial/rules/releases](https://github.com/BattlesnakeOfficial/rules/releases)
Install as a Go package. Requires Go 1.18 or higher. [[Download](https://golang.org/dl/)]
```
go install github.com/BattlesnakeOfficial/rules/cli/battlesnake@latest
```
Compile from source. Also requires Go 1.18 or higher.
```
git clone git@github.com:BattlesnakeOfficial/rules.git
cd rules
go build -o battlesnake ./cli/battlesnake/main.go
```
### Usage
Example command to run a game locally:
```
battlesnake play -W 11 -H 11 --name <SNAKE_NAME> --url <SNAKE_URL> -g solo -v
```
For more details, see the [CLI README](cli/README.md).
## FAQ
### Can I run games locally?
Yes! [See the included CLI](cli/README.md).
### How is this different from the old Battlesnake engine?
The [old game engine](https://github.com/battlesnakeio/engine) was re-written in early 2020 to handle a higher volume of concurrent games. As part of that rebuild we moved the game logic into a separate Go module that gets compiled into the production engine.
This provides two benefits: it makes it much simpler/easier to build new game modes, and it allows the community to get more involved in game development (without the maintenance overhead of the entire game engine).
### Feedback
* **Do you have an issue or suggestions for this repository?** Head over to our [Feedback Repository](https://play.battlesnake.com/feedback) today and let us know!
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@@ -0,0 +1,95 @@
module default {
function is_winner_me(winner: str) -> bool
using (winner = "me");
function gameboard_url(id: uuid) -> str
using ("https://play.battlesnake.com/game/" ++ <str>id);
type GameBoard {
overloaded required id: uuid {
readonly := true;
constraint exclusive;
}
url := gameboard_url(.id);
required created_at: datetime {
readonly := true;
}
required turns: int32 {
readonly := true;
}
required map: str {
readonly := true;
default := "standard";
}
required single type: GameType {
readonly := true;
on source delete delete target if orphan;
}
required single ruleset: Ruleset {
readonly := true;
on source delete delete target if orphan;
}
required winner: str {
readonly := true;
}
multi moves: Moves {
default := <Moves>{};
on source delete delete target;
on target delete allow;
}
required single snake: Snake {
readonly := true;
on source delete delete target if orphan;
}
is_winner_me := is_winner_me(.winner);
has_moves := exists(.moves);
}
type GameType {
required name: str {
readonly := true;
}
required is_ladder: bool {
readonly := true;
}
constraint exclusive on ( (.name, .is_ladder) );
}
type Ruleset {
required name: str {
readonly := true;
}
required version: str {
readonly := true;
}
required settings: json {
readonly := true;
}
constraint exclusive on ( (.name, .version, .settings) );
}
type Snake {
required type: str {
readonly := true;
}
constraint exclusive on ( .type );
}
type Moves {
required turn: int32 {
readonly := true;
}
required snake_move: str {
readonly := true;
}
required game_board: json {
readonly := true;
}
calculations: array<json> {
readonly := true;
}
}
}
+5
View File
@@ -11,4 +11,9 @@ services:
build:
context: ./
dockerfile: Dockerfile
#environment:
# - SNAKE_COLOR=blue
# - SNAKE_HEAD=caffeine
# - SNAKE_TAIL=mlh-gene
# - STORE_GAME_HISTORY=True
restart: always
+2
View File
@@ -0,0 +1,2 @@
[edgedb]
server-version = "5.3"
File diff suppressed because it is too large Load Diff
+178
View File
@@ -0,0 +1,178 @@
# Justfile for Migrate Database Changes Workflow
# Docs: https://just.systems/man/en/
# ------------------------------------------------------------------------------
# Global settings
# ------------------------------------------------------------------------------
# Load Env
set dotenv-load
set dotenv-required := true
# Use zsh
set shell := ["bash", "-cu"]
BATTLESNAKE_CLI_DIR := ".tools/battlesnake-cli"
BATTLESNAKE_CLI_BIN := ".tools/battlesnake-cli/battlesnake"
# ------------------------------------------------------------------------------
# Default
# ------------------------------------------------------------------------------
# List all Available recipes
[private]
default:
@just --list --unsorted
# ------------------------------------------------------------------------------
# Snake Script helpers
# ------------------------------------------------------------------------------
run:
"{{justfile_directory()}}/main.py"
run-snake port="8000" snake="BestBattleSnake":
HOST="127.0.0.1" PORT="{{port}}" SNAKE="{{snake}}" DEBUG="false" DEBUG_SERVER="false" "{{justfile_directory()}}/main.py"
run-4-snakes base_port="9101" snake="BestBattleSnake":
#!/usr/bin/env bash
set -euo pipefail
pids=()
for i in 0 1 2 3; do
port="$(({{base_port}} + i))"
echo "Starting snake on :$port"
HOST="127.0.0.1" PORT="$port" SNAKE="{{snake}}" DEBUG="false" DEBUG_SERVER="false" "{{justfile_directory()}}/main.py" &
pids[$i]="$!"
done
cleanup() {
for pid in "${pids[@]}"; do
kill "$pid" 2>/dev/null || true
done
wait || true
}
trap cleanup EXIT INT TERM
wait
bench-best-snake iterations="1000":
#!/usr/bin/env bash
set -euo pipefail
PYTHONPATH="{{justfile_directory()}}" python "{{justfile_directory()}}/tests/bench_best_battle_snake.py" --iterations "{{iterations}}"
build-battlesnake-cli:
#!/usr/bin/env bash
set -euo pipefail
install_dir="{{justfile_directory()}}/{{BATTLESNAKE_CLI_DIR}}"
bin_path="{{justfile_directory()}}/{{BATTLESNAKE_CLI_BIN}}"
mkdir -p "$install_dir"
if [ ! -f "{{justfile_directory()}}/local-client/go.mod" ]; then
echo "Missing local-client source. Run: git submodule update --init --recursive"
exit 1
fi
(
cd "{{justfile_directory()}}/local-client"
go build -o "$bin_path" ./cli/battlesnake/main.go
)
"$bin_path" --help > /dev/null
echo "Built Battlesnake CLI at $bin_path"
battlesnake-cli-version:
#!/usr/bin/env bash
set -euo pipefail
"{{justfile_directory()}}/{{BATTLESNAKE_CLI_BIN}}" --help
# ------------------------------------------------------------------------------
# Testing helpers
# ------------------------------------------------------------------------------
test-constrictor: build-battlesnake-cli
#!/usr/bin/env bash
set -euo pipefail
BATTLESNAKE_CLI="{{justfile_directory()}}/{{BATTLESNAKE_CLI_BIN}}"
"$BATTLESNAKE_CLI" play -W 11 -H 11 --name 'Python Starter Project' --url http://localhost:8000 -g constrictor --browser --minimumFood 0
test-seed: build-battlesnake-cli
#!/usr/bin/env bash
set -euo pipefail
BATTLESNAKE_CLI="{{justfile_directory()}}/{{BATTLESNAKE_CLI_BIN}}"
"$BATTLESNAKE_CLI" play -W 11 -H 11 --name 'Python Starter Project' --url http://localhost:8000 -g solo --browser --seed 1713099635738952360
test-local-4 mode="standard" map="standard" base_port="9101" snake="BestBattleSnake" seed="1713099635738952360" browser="true": build-battlesnake-cli
#!/usr/bin/env bash
set -euo pipefail
BATTLESNAKE_CLI="{{justfile_directory()}}/{{BATTLESNAKE_CLI_BIN}}"
LOG_DIR="{{justfile_directory()}}/.tools/snake-logs"
mkdir -p "$LOG_DIR"
pids=()
for i in 0 1 2 3; do
port="$(({{base_port}} + i))"
log_file="$LOG_DIR/snake-$((i+1)).log"
echo "Starting snake-$((i+1)) on :$port (log: $log_file)"
HOST="127.0.0.1" PORT="$port" SNAKE="{{snake}}" DEBUG="false" DEBUG_SERVER="false" "{{justfile_directory()}}/main.py" > >(tee "$log_file") 2>&1 &
pids[$i]="$!"
done
cleanup() {
for pid in "${pids[@]}"; do
kill "$pid" 2>/dev/null || true
done
wait || true
}
trap cleanup EXIT INT TERM
for i in 0 1 2 3; do
port="$(({{base_port}} + i))"
for _ in $(seq 1 30); do
if curl -fsS "http://127.0.0.1:$port" >/dev/null 2>&1; then
break
fi
sleep 0.2
done
if ! curl -fsS "http://127.0.0.1:$port" >/dev/null 2>&1; then
echo "Snake on :$port did not start correctly. Check logs in $LOG_DIR"
exit 1
fi
done
BROWSER_FLAG=""
if [ "{{browser}}" = "true" ]; then
BROWSER_FLAG="--browser"
fi
"$BATTLESNAKE_CLI" play -W 11 -H 11 \
--name "Snake 1" --url "http://127.0.0.1:{{base_port}}" \
--name "Snake 2" --url "http://127.0.0.1:$(({{base_port}} + 1))" \
--name "Snake 3" --url "http://127.0.0.1:$(({{base_port}} + 2))" \
--name "Snake 4" --url "http://127.0.0.1:$(({{base_port}} + 3))" \
-g "{{mode}}" --map "{{map}}" --seed "{{seed}}" $BROWSER_FLAG
# ------------------------------------------------------------------------------
# Dataset helpers
# ------------------------------------------------------------------------------
export-dataset input="data" output="data/dataset/good_moves.jsonl":
python -m server.DatasetExporter --input "{{input}}" --output "{{output}}"
curate-dataset input="good_moves-*.jsonl" output="data/dataset/best_moves.jsonl" min_turn="6" late_turn="20" max_safe_options="2" min_score="3" append="false" archive="false" archive_dir="":
FLAGS=""; if [ "{{append}}" = "true" ]; then FLAGS="$FLAGS --append"; fi; if [ "{{archive}}" = "true" ]; then FLAGS="$FLAGS --archive-input"; fi; if [ -n "{{archive_dir}}" ]; then FLAGS="$FLAGS --archive-dir {{archive_dir}}"; fi; python -m server.DatasetCurator --input "{{input}}" --output "{{output}}" --min-turn "{{min_turn}}" --late-turn "{{late_turn}}" --max-safe-options "{{max_safe_options}}" --min-score "{{min_score}}" $FLAGS
analyze-dataset input="good_moves-*.jsonl" output="":
if [ -n "{{output}}" ]; then python -m server.DatasetStats --input "{{input}}" --output "{{output}}"; else python -m server.DatasetStats --input "{{input}}"; fi
train-ai input="dataset/best_moves.jsonl" rl_input="dataset/rl_bootstrap.jsonl" output="models/battlesnake_softmax_v2.json" eval_split="0.2" seed="42" epochs="14" lr="0.08":
if [ -f "{{rl_input}}" ]; then python -m server.TrainBattleSnakeAI --input "{{input}}" --input "{{rl_input}}" --output "{{output}}" --eval-split "{{eval_split}}" --seed "{{seed}}" --epochs "{{epochs}}" --lr "{{lr}}"; else python -m server.TrainBattleSnakeAI --input "{{input}}" --output "{{output}}" --eval-split "{{eval_split}}" --seed "{{seed}}" --epochs "{{epochs}}" --lr "{{lr}}"; fi
run-trained model="models/battlesnake_softmax_v2.json" port="8000":
TRAINED_SNAKE_MODEL="{{model}}" SNAKE="TrainedBattleSnake" PORT="{{port}}" "{{justfile_directory()}}/main.py"
Submodule
+1
Submodule local-client added at 87e094e2e1
+12 -17
View File
@@ -1,4 +1,4 @@
#!/usr/bin/env python3
#!/usr/bin/env -S uv run --script
# Welcome to
# __________ __ __ .__ __
@@ -12,25 +12,20 @@
# To get you started we've included code to prevent your Battlesnake from moving backwards.
# For more info see docs.battlesnake.com
from server.Server import Server
from server.CreateEnvironmentFile import CreateEnvironmentFile
from server.bootstrap import build_run_config, build_server_from_env
from dotenv import load_dotenv, find_dotenv
import asyncio
import os
# Start server when `python main.py` is run
if __name__ == "__main__":
load_dotenv(find_dotenv())
if os.environ.get("CREATE_ENV_FILE", None):
CreateEnvironmentFile.load_dotenv({
"STORE_GAME_HISTORY": True,
"DEBUG": True,
"SNAKE": "TemplateSnake",
})
server = Server(
data_path=os.path.dirname(__file__),
snake_type=os.environ.get("SNAKE", "DummSnake"),
)
if os.environ.get("STORE_GAME_HISTORY", None):
server.enable_store_game_state()
server.run(
host=os.environ.get("HOST", "0.0.0.0"),
port=int(os.environ.get("PORT", "8000")),
debug=bool(os.environ.get("DEBUG", False))
)
server = build_server_from_env(default_snake_type="TemplateSnake")
asyncio.run(server.run(**build_run_config()))
+12
View File
@@ -0,0 +1,12 @@
[project]
name = "snake-python"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.13"
dependencies = [
"aiologger>=0.7.0",
"dotenv>=0.9.9",
"gel>=3.1.0",
"quart>=0.20.0",
]
Submodule
+1
Submodule quart_common added at 823560fdcd
+19 -10
View File
@@ -1,10 +1,19 @@
blinker==1.7.0
click==8.1.7
Flask==3.0.2
itsdangerous==2.1.2
Jinja2==3.1.3
MarkupSafe==2.1.5
numpy==1.26.4
python-dotenv==1.0.1
scipy==1.12.0
Werkzeug==3.0.1
aiofiles==25.1.0
blinker==1.9.0
click==8.3.1
dotenv==0.9.9
flask==3.1.2
gel==3.1.0
h11==0.16.0
h2==4.3.0
hpack==4.1.0
hypercorn==0.18.0
hyperframe==6.1.0
itsdangerous==2.2.0
jinja2==3.1.6
markupsafe==3.0.3
priority==2.0.0
python-dotenv==1.2.1
quart==0.20.0
werkzeug==3.1.4
wsproto==1.3.2
+26
View File
@@ -0,0 +1,26 @@
from dotenv import load_dotenv, find_dotenv
import os
class CreateEnvironmentFile:
def __init__(self):
self.path = find_dotenv()
def create_file(self, environment_vars:dict[str], path:str="./.env"):
if environment_vars:
data = self.convert_dict_to_list(environment_vars)
with open(path, 'w') as f:
f.writelines(data)
def convert_dict_to_list(self, data_dict:dict):
data = []
for k, v in data_dict.items():
data.append(f"{k}={v}\n")
return data
@classmethod
def load_dotenv(cls, environment_vars:dict[str]=None):
new_class = cls()
if os.path.exists(new_class.path):
return load_dotenv(new_class.path)
else:
return new_class.create_file(environment_vars)
+56
View File
@@ -0,0 +1,56 @@
from server.GameBoard import GameBoard
class Dataset:
VALID_MOVES = {"up", "down", "left", "right"}
def __init__(self, game_board: GameBoard):
self.game_board = game_board
def _did_we_win(self):
winners = self.game_board.winner_snake_names or []
return "me" in winners
def _is_good_move(self, move: str):
return move in self.VALID_MOVES
def build(self, only_good_moves: bool = True):
game_type = self.game_board.get_type_of_game()
did_win = self._did_we_win()
samples = []
history = self.game_board.snake_class.get_history()
for index, turn in enumerate(self.game_board.turns):
move = turn.get("move")
is_good_move = did_win and self._is_good_move(move)
if only_good_moves and not is_good_move:
continue
samples.append({
"turn": turn.get("turn"),
"move": move,
"game_board": turn.get("game_board"),
"is_good_move": is_good_move,
"history": history[index] if index < len(history) else {},
})
return {
"game": {
"id": self.game_board.id,
"map": self.game_board.map,
"type": game_type,
},
"snake": {
"type": self.game_board.snake_class.__class__.__name__,
},
"did_win": did_win,
"total_samples": len(samples),
"samples": samples,
}
def labels_by_turn(self):
did_win = self._did_we_win()
labels = {}
for turn in self.game_board.turns:
move = turn.get("move")
labels[turn.get("turn")] = did_win and self._is_good_move(move)
return labels
+280
View File
@@ -0,0 +1,280 @@
import argparse
import glob
import hashlib
import json
import shutil
from pathlib import Path
class DatasetCurator:
def __init__(
self,
input_files: list[str],
output_file: str,
min_turn: int = 6,
late_turn: int = 20,
max_safe_options: int = 2,
min_score: int = 3,
append: bool = False,
archive_input: bool = False,
archive_dir: str | None = None,
):
self.input_files = input_files
self.output_file = Path(output_file)
self.min_turn = min_turn
self.late_turn = late_turn
self.max_safe_options = max_safe_options
self.min_score = min_score
self.append = append
self.archive_input = archive_input
self.archive_dir = (
Path(archive_dir) if archive_dir else self.output_file.parent / "archive"
)
def _resolve_input_files(self):
resolved = []
seen = set()
for item in self.input_files:
path = Path(item)
if path.is_dir():
for file_path in sorted(path.rglob("*.jsonl")):
key = str(file_path.resolve())
if key in seen:
continue
seen.add(key)
resolved.append(file_path)
continue
if any(ch in item for ch in "*?[]"):
for match in sorted(glob.glob(item)):
file_path = Path(match)
if not file_path.is_file():
continue
key = str(file_path.resolve())
if key in seen:
continue
seen.add(key)
resolved.append(file_path)
continue
if path.is_file():
key = str(path.resolve())
if key in seen:
continue
seen.add(key)
resolved.append(path)
return resolved
def _safe_options_count(self, row: dict):
history = row.get("history", {})
for item in history.get("data", []):
if item.get("function") == "get_possible_moves":
return len(item.get("safe_positions", {}))
return None
def _state_hash(self, row: dict):
board = row.get("game_board", {})
snakes = board.get("snakes", [])
snakes_key = []
for snake in snakes:
snakes_key.append(
(
snake.get("id"),
snake.get("health"),
tuple(
(seg.get("x"), seg.get("y")) for seg in snake.get("body", [])
),
)
)
key = {
"width": board.get("width"),
"height": board.get("height"),
"snakes": sorted(snakes_key),
"food": sorted((f.get("x"), f.get("y")) for f in board.get("food", [])),
"hazards": sorted(
(h.get("x"), h.get("y")) for h in board.get("hazards", [])
),
}
raw = json.dumps(key, sort_keys=True, separators=(",", ":"))
return hashlib.sha1(raw.encode("utf-8")).hexdigest()
def _score(self, row: dict):
score = 0
turn = int(row.get("turn", 0))
safe_options = self._safe_options_count(row)
snakes = row.get("game_board", {}).get("snakes", [])
opponents = max(0, len(snakes) - 1)
if turn >= self.late_turn:
score += 2
if safe_options is not None and safe_options <= self.max_safe_options:
score += 3
if opponents >= 1:
score += 1
return score, safe_options
def curate(self):
self.output_file.parent.mkdir(parents=True, exist_ok=True)
input_paths = self._resolve_input_files()
total = 0
kept = 0
skipped_turn = 0
skipped_quality = 0
skipped_duplicate = 0
seen_states = set()
if self.append and self.output_file.exists():
with self.output_file.open("r", encoding="utf-8") as existing:
for line in existing:
if not line.strip():
continue
row = json.loads(line)
state_key = self._state_hash(row)
seen_states.add((state_key, row.get("move")))
mode = "a" if self.append else "w"
with self.output_file.open(mode, encoding="utf-8") as dst:
for input_path in input_paths:
with input_path.open("r", encoding="utf-8") as src:
for line in src:
if not line.strip():
continue
total += 1
row = json.loads(line)
if not row.get("is_good_move", False):
skipped_quality += 1
continue
if int(row.get("turn", 0)) < self.min_turn:
skipped_turn += 1
continue
quality_score, safe_options = self._score(row)
if quality_score < self.min_score:
skipped_quality += 1
continue
state_key = self._state_hash(row)
dedupe_key = (state_key, row.get("move"))
if dedupe_key in seen_states:
skipped_duplicate += 1
continue
seen_states.add(dedupe_key)
compact_row = {
"game_id": row.get("game_id"),
"turn": row.get("turn"),
"move": row.get("move"),
"game_type": row.get("game_type"),
"quality_score": quality_score,
"safe_options": safe_options,
"game_board": row.get("game_board"),
}
dst.write(json.dumps(compact_row, ensure_ascii=False) + "\n")
kept += 1
archived_files = []
if self.archive_input:
archived_files = self._archive_processed_files(input_paths)
return {
"input_files": [str(path) for path in input_paths],
"total_rows": total,
"kept_rows": kept,
"skipped_turn": skipped_turn,
"skipped_quality": skipped_quality,
"skipped_duplicate": skipped_duplicate,
"append_mode": self.append,
"archive_input": self.archive_input,
"archived_files": archived_files,
"output_file": str(self.output_file),
}
def _archive_processed_files(self, input_paths: list[Path]):
self.archive_dir.mkdir(parents=True, exist_ok=True)
archived = []
output_resolved = (
self.output_file.resolve()
if self.output_file.exists()
else self.output_file
)
archive_resolved = self.archive_dir.resolve()
for source_path in input_paths:
if not source_path.exists():
continue
source_resolved = source_path.resolve()
if source_resolved == output_resolved:
continue
if source_resolved.parent == archive_resolved:
continue
destination = self.archive_dir / source_path.name
if destination.exists():
stem = destination.stem
suffix = destination.suffix
index = 1
while True:
candidate = self.archive_dir / f"{stem}.{index}{suffix}"
if not candidate.exists():
destination = candidate
break
index += 1
shutil.move(str(source_path), str(destination))
archived.append(str(destination))
return archived
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Create curated best-moves dataset")
parser.add_argument(
"--input",
action="append",
required=True,
help="Input JSONL file, directory, or glob pattern. Repeat for multiple inputs.",
)
parser.add_argument("--output", required=True, help="Output JSONL file")
parser.add_argument("--min-turn", type=int, default=6)
parser.add_argument("--late-turn", type=int, default=20)
parser.add_argument("--max-safe-options", type=int, default=2)
parser.add_argument("--min-score", type=int, default=3)
parser.add_argument(
"--append",
action="store_true",
help="Append to existing output and dedupe against existing rows",
)
parser.add_argument(
"--archive-input",
action="store_true",
help="Move processed input files to archive directory after successful curation",
)
parser.add_argument(
"--archive-dir",
default=None,
help="Archive directory for processed input files (default: <output-dir>/archive)",
)
args = parser.parse_args()
report = DatasetCurator(
input_files=args.input,
output_file=args.output,
min_turn=args.min_turn,
late_turn=args.late_turn,
max_safe_options=args.max_safe_options,
min_score=args.min_score,
append=args.append,
archive_input=args.archive_input,
archive_dir=args.archive_dir,
).curate()
print(json.dumps(report, indent=2))
+64
View File
@@ -0,0 +1,64 @@
import argparse
import json
from pathlib import Path
class DatasetExporter:
def __init__(self, input_dir:str, output_file:str):
self.input_dir = Path(input_dir)
self.output_file = Path(output_file)
def _iter_game_files(self):
if not self.input_dir.exists():
return []
return sorted(self.input_dir.rglob("*.json"))
def _extract_samples(self, payload:dict, source_file:Path):
dataset = payload.get("dataset", {})
game_info = dataset.get("game", payload.get("game", {}))
snake_info = dataset.get("snake", payload.get("snake", {}))
samples = []
for sample in dataset.get("samples", []):
samples.append({
"game_id": game_info.get("id"),
"game_map": game_info.get("map"),
"game_type": game_info.get("type"),
"snake_type": snake_info.get("type"),
"turn": sample.get("turn"),
"move": sample.get("move"),
"is_good_move": sample.get("is_good_move", False),
"game_board": sample.get("game_board"),
"history": sample.get("history"),
"source_file": str(source_file),
})
return samples
def export_jsonl(self):
game_files = self._iter_game_files()
self.output_file.parent.mkdir(parents=True, exist_ok=True)
sample_count = 0
with self.output_file.open("w", encoding="utf-8") as output:
for game_file in game_files:
with game_file.open("r", encoding="utf-8") as source:
payload = json.load(source)
for sample in self._extract_samples(payload, game_file):
output.write(json.dumps(sample, ensure_ascii=False) + "\n")
sample_count += 1
return {
"games_scanned": len(game_files),
"samples_exported": sample_count,
"output_file": str(self.output_file),
}
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Export Battlesnake dataset to JSONL")
parser.add_argument("--input", default="data", help="Input directory with stored game JSON files")
parser.add_argument("--output", default="data/dataset/good_moves.jsonl", help="Output JSONL file")
args = parser.parse_args()
report = DatasetExporter(args.input, args.output).export_jsonl()
print(json.dumps(report, indent=2))
+247
View File
@@ -0,0 +1,247 @@
import argparse
import glob
import json
import re
from collections import Counter, defaultdict
from datetime import datetime
from pathlib import Path
class DatasetStats:
DAY_PATTERN = re.compile(r"(\d{4}-\d{2}-\d{2})")
def __init__(self, input_files: list[str]):
self.input_files = input_files
def _resolve_input_files(self):
resolved = []
seen = set()
for item in self.input_files:
path = Path(item)
if path.is_dir():
for file_path in sorted(path.rglob("*.jsonl")):
key = str(file_path.resolve())
if key in seen:
continue
seen.add(key)
resolved.append(file_path)
continue
if any(ch in item for ch in "*?[]"):
for match in sorted(glob.glob(item)):
file_path = Path(match)
if not file_path.is_file():
continue
key = str(file_path.resolve())
if key in seen:
continue
seen.add(key)
resolved.append(file_path)
continue
if path.is_file():
key = str(path.resolve())
if key in seen:
continue
seen.add(key)
resolved.append(path)
return resolved
def _infer_day(self, file_path: Path):
match = self.DAY_PATTERN.search(file_path.name)
if match:
return match.group(1)
return datetime.fromtimestamp(file_path.stat().st_mtime).strftime("%Y-%m-%d")
def _game_score(self, game: dict):
max_turn = game["max_turn"]
rows = game["rows"]
avg_safe = game["avg_safe_options"]
pressure_bonus = 0 if avg_safe is None else max(0.0, 4.0 - avg_safe)
return round(max_turn * 2.0 + rows + pressure_bonus, 3)
def _pressure_score(self, game: dict):
max_turn = game["max_turn"]
rows = max(1, game["rows"])
pressure_turns = game["pressure_turns"]
avg_safe = game["avg_safe_options"]
pressure_ratio = pressure_turns / rows
safe_tightness = 0.0 if avg_safe is None else max(0.0, 3.0 - avg_safe)
return round(max_turn * 1.2 + pressure_ratio * 120.0 + safe_tightness * 20.0, 3)
def _extract_safe_options(self, row: dict):
top_level = row.get("safe_options")
if isinstance(top_level, int):
return top_level
history = row.get("history", {})
for item in history.get("data", []):
if item.get("function") != "get_possible_moves":
continue
safe_positions = item.get("safe_positions", {})
if isinstance(safe_positions, dict):
return len(safe_positions)
return None
def analyze(self):
files = self._resolve_input_files()
totals = {
"rows": 0,
"games": set(),
"snake_types": Counter(),
"game_types": Counter(),
"moves": Counter(),
"days": Counter(),
}
games = {}
day_games = defaultdict(set)
for file_path in files:
day = self._infer_day(file_path)
with file_path.open("r", encoding="utf-8") as source:
for line in source:
if not line.strip():
continue
row = json.loads(line)
game_id = row.get("game_id")
if not game_id:
continue
turn = int(row.get("turn", 0))
safe_options = self._extract_safe_options(row)
snake_type = row.get("snake_type", "unknown")
move = row.get("move", "unknown")
game_type = row.get("game_type", {})
if isinstance(game_type, dict):
game_type_name = game_type.get("name", "unknown")
else:
game_type_name = str(game_type)
totals["rows"] += 1
totals["games"].add(game_id)
totals["snake_types"][snake_type] += 1
totals["game_types"][game_type_name] += 1
totals["moves"][move] += 1
totals["days"][day] += 1
if game_id not in games:
games[game_id] = {
"game_id": game_id,
"day": day,
"snake_type": snake_type,
"game_type": game_type_name,
"rows": 0,
"max_turn": -1,
"safe_options_sum": 0,
"safe_options_count": 0,
"pressure_turns": 0,
}
game = games[game_id]
game["rows"] += 1
game["max_turn"] = max(game["max_turn"], turn)
if isinstance(safe_options, int):
game["safe_options_sum"] += safe_options
game["safe_options_count"] += 1
if safe_options <= 2:
game["pressure_turns"] += 1
day_games[day].add(game_id)
game_summaries = []
for game in games.values():
avg_safe = None
if game["safe_options_count"] > 0:
avg_safe = round(
game["safe_options_sum"] / game["safe_options_count"], 3
)
item = {
"game_id": game["game_id"],
"day": game["day"],
"snake_type": game["snake_type"],
"game_type": game["game_type"],
"rows": game["rows"],
"max_turn": game["max_turn"],
"avg_safe_options": avg_safe,
"pressure_turns": game["pressure_turns"],
}
item["score"] = self._game_score(item)
item["pressure_score"] = self._pressure_score(item)
game_summaries.append(item)
game_summaries.sort(
key=lambda x: (x["score"], x["max_turn"], x["rows"]), reverse=True
)
best_overall = game_summaries[0] if game_summaries else None
pressure_sorted = sorted(
game_summaries,
key=lambda x: (x["pressure_score"], x["max_turn"], x["rows"]),
reverse=True,
)
best_pressure_overall = pressure_sorted[0] if pressure_sorted else None
by_day = {}
for day, game_ids in sorted(day_games.items()):
day_list = [item for item in game_summaries if item["game_id"] in game_ids]
day_list.sort(
key=lambda x: (x["score"], x["max_turn"], x["rows"]), reverse=True
)
day_pressure = sorted(
day_list,
key=lambda x: (x["pressure_score"], x["max_turn"], x["rows"]),
reverse=True,
)
by_day[day] = {
"rows": totals["days"][day],
"games": len(game_ids),
"best_game": day_list[0] if day_list else None,
"best_pressure_game": day_pressure[0] if day_pressure else None,
}
return {
"files_scanned": [str(path) for path in files],
"overall": {
"rows": totals["rows"],
"games": len(totals["games"]),
"snake_types": dict(totals["snake_types"]),
"game_types": dict(totals["game_types"]),
"moves": dict(totals["moves"]),
"best_game": best_overall,
"best_pressure_game": best_pressure_overall,
},
"by_day": by_day,
"top_games": game_summaries[:10],
"top_pressure_games": pressure_sorted[:10],
}
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Analyze Battlesnake JSONL datasets")
parser.add_argument(
"--input",
action="append",
required=True,
help="Input JSONL file, directory, or glob pattern. Repeat for multiple inputs.",
)
parser.add_argument(
"--output",
default=None,
help="Optional path to write JSON report",
)
args = parser.parse_args()
report = DatasetStats(args.input).analyze()
print(json.dumps(report, indent=2))
if args.output:
output_path = Path(args.output)
output_path.parent.mkdir(parents=True, exist_ok=True)
output_path.write_text(json.dumps(report, indent=2), encoding="utf-8")
+25 -11
View File
@@ -1,16 +1,30 @@
import aiofiles.os
import aiofiles
import os
import inspect
def read_file(path, callback=None):
if os.path.exists(path):
with open(path, 'r') as f:
data = callback(f)
return data
else:
async def read_file(path: str, callback=None):
if not await aiofiles.os.path.exists(path):
return None
def save_file(path, data, callback=None, *args, **kwargs):
if not os.path.exists(path):
os.makedirs(os.path.dirname(path), exist_ok=True)
async with aiofiles.open(path, "r") as f:
if callback:
result = callback(f)
if inspect.isawaitable(result):
return await result
return result
return await f.read()
with open(path, 'w') as f:
callback(data, f, *args, **kwargs)
async def save_file(path: str, data, callback=None, *args, **kwargs):
dir_path = os.path.dirname(path)
if dir_path:
await aiofiles.os.makedirs(dir_path, exist_ok=True)
async with aiofiles.open(path, "w") as f:
if callback:
result = callback(data, f, *args, **kwargs)
if inspect.isawaitable(result):
await result
else:
await f.write(data)
+151
View File
@@ -0,0 +1,151 @@
from datetime import datetime
class GameBoard:
def __init__(self, game_id:str, width:int, height:int, ruleset:dict, source:str, map:str, snake_class):
self.id = game_id
self.width = width
self.height = height
self.type = ruleset["name"]
self.snake_class = snake_class
# What will get Stored
self.winner_snake_names = None
self.now_date = datetime.now()
self.turns = []
self.is_ladder = True if source == "ladder" else False
self.ruleset = ruleset
self.map = map
self.url = self._get_game_url(True if ruleset["version"] == "cli" else False)
self.timeout = 500
# Setter Functions
def _set_snakes(self, snakes:list[dict]):
self.other_snakes = [ x for x in snakes if x["id"] != self.my_snake["id"] ]
def _set_my_snake(self, my_snake:dict):
self.my_snake = my_snake
def _set_food(self, food:list[dict]):
self.food = food
def _set_hazards(self, hazards:list[dict]):
self.hazards = hazards
def _set_turn(self, turn:int):
self.turn = turn
# Getter Functions
def get_other_snakes(self):
return self.other_snakes
def get_my_snake(self):
return self.my_snake
def get_food(self):
return self.food
def get_hazard(self):
return self.hazards
def get_turn(self):
return self.turn
def get_dimension(self):
return {"width": self.width, "height": self.height}
def get_width(self):
return self.width
def get_height(self):
return self.height
def get_type(self):
return self.type
def get_map(self):
return self.map
def get_ruleset(self):
return self.ruleset
def get_timeout(self):
return self.timeout
def get_my_snake_head(self):
return self.my_snake["head"]
def get_my_snake_body(self):
return self.my_snake["body"]
def get_my_snake_tail(self):
return self.my_snake["body"][-1]
def get_game_board_as_dict(self):
snakes = [self.my_snake]
snakes.extend(self.other_snakes)
return {
"height": self.height,
"width": self.width,
"snakes": snakes,
"food": self.food,
"hazards": self.hazards,
}
# Game Functions
def read_game_data(self, game_data:dict):
self._set_food(game_data['board']['food'])
self._set_hazards(game_data['board']['hazards'])
self._set_my_snake(game_data['you'])
self._set_snakes(game_data['board']['snakes'])
self._set_turn(game_data["turn"])
self.timeout = int(game_data.get('game', {}).get('timeout', 500))
async def start_game(self, game_data:dict):
self.init_snakes = len(game_data['board']['snakes'])
def end_game(self, game_data:dict):
self._set_winner_snake_name(game_data['board']['snakes'])
self.get_type_of_game()
# Function get Called from Server
def snake_neat_make_a_move(self):
move = self.snake_class.choose_move(self)
self.turns.append({
"turn": self.turn,
"move": move,
"game_board": self.get_game_board_as_dict()
})
return move
# Save functions
def _get_game_url(self, local_game:bool):
if local_game:
return None
return f"https://play.battlesnake.com/game/{self.id}"
def _set_winner_snake_name(self, snakes:list[dict]):
if self.my_snake["id"] in [ x["id"] for x in snakes]:
self.winner_snake_names = ["me"]
else:
self.winner_snake_names = [ x["name"] for x in snakes]
if len(self.winner_snake_names) == 0:
self.winner_snake_names = None
def get_winner(self):
return self.winner_snake_names
def get_type_of_game(self):
if self.init_snakes == 2:
return {"name": "duel", "is_ladder": self.is_ladder}
return {"name": self.type, "is_ladder": self.is_ladder}
async def save(self, store_class, **kwargs):
store = store_class(**kwargs)
await store.save(self)
del store
-59
View File
@@ -1,59 +0,0 @@
from server.Files import save_file
import os
class GameStorage:
def __init__(self, snake:str, path:str):
self.snake_type = snake
self.folder = path
self.winner_snake_names = None
def start_new_game(self, game_type:dict, game_board:dict, snake:dict):
self.game_type = game_type
self.start_position = snake
self.game_board = [game_board]
self.moves = []
def add_moves(self, game_board:dict, my_move:str):
self.game_board.append(game_board)
self.moves.append(my_move)
def add_end_state(self, game_board:dict, snake_history_state:list[dict], final_turns:int):
self.game_board.append(game_board)
self.snake_history = snake_history_state
self._set_winner_snake_name(game_board['snakes'])
self.final_turns = final_turns
def _set_winner_snake_name(self, snakes:list[dict]):
if self.start_position["id"] in [ x["id"] for x in snakes]:
self.winner_snake_names = "me"
else:
self.winner_snake_names = [ x["name"] for x in snakes]
def _get_type_of_gameboard(self):
if len(self.game_board[0]["snakes"]) == 2:
return "duel"
return "standart"
def save(self, path:str, callback=None, **kwargs):
if self.winner_snake_names == "me" and self.final_turns <= 10:
return None
save_file(os.path.join(self.folder, path), {
"snake": {
"type": self.snake_type,
"choices": self.snake_history,
},
"game": {
"type": self._get_type_of_gameboard(),
"infos": self.game_type,
"snake_start": self.start_position,
"final_turns": self.final_turns,
"gameboard": self.game_board,
"my_moves": self.moves,
},
"winner": self.winner_snake_names,
}, callback=callback, **kwargs)
def __str__(self):
return f"<{self.__class__.__name__}> Snake: {self.snake_type}, Folder: {self.folder}, Winner: {self.winner_snake_names}, Old Moves: {self.moves}"
+406 -77
View File
@@ -1,113 +1,442 @@
from server.Files import read_file, save_file
from server.GameStorage import GameStorage
from snakes.TemplateSnake import TemplateSnake
from server.SnakeBuilder import SnakeBuilder
from server.Files import read_file
from server.GameBoard import GameBoard
from snakes import SnakeBuilder
from quart_common.web.logger import await_log
from quart_common.web.logger import build_logger
from typing import cast
from datetime import datetime
from flask import Flask
from flask import request
import logging, json, os
from server.storage.StorageLoader import StorageLoader
from quart import Quart, request, jsonify
import logging, json, os, re, time
class Server:
default_snake_config = {"apiversion":"1","author":"","color":"#888888","head":"default","tail":"default"}
default_snake_config = {
'apiversion': '1',
'author': '',
'color': '#888888',
'head': 'default',
'tail': 'default',
'version': '1.0.0',
}
def __init__(self, data_path:str, snake_type:str, debug:bool=False):
def __init__(self, data_path:str, snake_type:str, storage_type:str, debug:bool=False, check_tls_security:bool=False):
self.debug = debug
self.snake_type = snake_type
self.storage_type = storage_type
self.config_file = os.path.join(data_path, 'data', 'snake-config.json')
self.data_path = data_path
self.check_tls_security = check_tls_security
self.store_game_state = False
self.running_games:dict[str, GameStorage] = {}
self.running_snake:dict[str, TemplateSnake] = {}
self.app = Flask("Battlesnake")
self.running_games:dict[str, GameBoard] = {}
self.game_move_counts:dict[str, int] = {}
self.game_last_seen_unix:dict[str, int] = {}
self.stale_game_timeout_sec = self._get_stale_game_timeout_sec()
self.metrics = {
'games_started': 0,
'games_ended': 0,
'wins': 0,
'losses': 0,
'total_moves': 0,
'total_turns': 0,
'max_turn': 0,
'active_games_peak': 0,
'games_autocreated': 0,
'http_requests_total': 0,
'http_requests_by_endpoint': {
'info': 0,
'start': 0,
'move': 0,
'end': 0,
},
'move_direction_counts': {
'up': 0,
'down': 0,
'left': 0,
'right': 0,
'unknown': 0,
},
'move_response_time_ms_total': 0.0,
'move_response_time_ms_max': 0.0,
'last_game_start_unix': 0,
'last_game_end_unix': 0,
'last_move_unix': 0,
'games_stuck_removed': 0,
}
self.logger = build_logger('Battlesnake', debug_env_var='DEBUG_SERVER')
self.snake_version = self._get_snake_version()
@self.app.get("/")
def on_info():
return self._info()
self.app = Quart('Battlesnake')
@self.app.post("/start")
def on_start():
game_state = request.get_json()
self._start(game_state)
return "ok"
# info is called when you create your Battlesnake on play.battlesnake.com
# and controls your Battlesnake's appearance
# TIP: If you open your Battlesnake URL in a browser you should see this data
@self.app.get('/')
async def on_info():
self._record_http_request('info')
snake_config = await self._read_json_config_or_create()
@self.app.post("/move")
def on_move():
game_state = request.get_json()
return self._move(game_state)
await await_log(self.logger.info(f'INFO Snake: {snake_config}'))
return snake_config
@self.app.post("/end")
def on_end():
game_state = request.get_json()
self._end(game_state)
return "ok"
# start is called when your Battlesnake begins a game
@self.app.post('/start')
async def on_start():
self._record_http_request('start')
self._prune_stale_games()
game_state = await request.get_json()
await self._create_game_board(game_state)
await await_log(self.logger.info(f'GAME START: {game_state['game']}'))
return 'ok'
# move is called when your Battlesnake game is running game
@self.app.post('/move')
async def on_move():
self._record_http_request('move')
game_state = await request.get_json()
move_started = time.perf_counter()
game_board = await self._get_game_board(game_state)
next_move = game_board.snake_neat_make_a_move()
elapsed_ms = (time.perf_counter() - move_started) * 1000.0
self.metrics['move_response_time_ms_total'] += elapsed_ms
self.metrics['move_response_time_ms_max'] = max(
self.metrics['move_response_time_ms_max'],
elapsed_ms,
)
move_counts = self.metrics['move_direction_counts']
if next_move in move_counts:
move_counts[next_move] += 1
else:
move_counts['unknown'] += 1
self.metrics['last_move_unix'] = int(time.time())
if self.debug:
await await_log(self.logger.debug(f'TURN: {game_state['turn']:3}, MOVE: {next_move:5}'))
return {'move': next_move}
# end is called when your Battlesnake finishes a game
@self.app.post('/end')
async def on_end():
self._record_http_request('end')
self._prune_stale_games()
game_state = await request.get_json()
if self.store_game_state:
game_board = await self._get_game_board(game_state, end=True)
if self.check_tls_security:
await game_board.save(
StorageLoader.build(self.storage_type),
file_path=os.path.join(self.data_path, 'data'),
database=os.getenv('EDGEDB_DATABASE', None),
tls_security=None,
)
else:
await game_board.save(
StorageLoader.build(self.storage_type),
file_path=os.path.join(self.data_path, 'data'),
database=os.getenv('EDGEDB_DATABASE', None),
)
await await_log(self.logger.info(f'GAME ENDED: Winner is {[x['name'] for x in game_state['board']['snakes']]}'))
self._delete_game_board(game_state)
return 'ok'
@self.app.after_request
def identify_server(response):
response.headers.set(
"server", "battlesnake/github/starter-snake-python"
)
async def identify_server(response):
response.headers.set('server', 'battlesnake/gitea/snake-python')
return response
def run(self, host:str="0.0.0.0", port:str="8000", debug:bool=False):
logging.getLogger("werkzeug").setLevel(logging.ERROR)
@self.app.get('/cleanup')
async def cleanup():
results = self._cleanup_database()
return jsonify(data=json.loads(results), status=200)
print(f"\nRunning Battlesnake at http://{host}:{port} with the {self.snake_type.replace('Snake', '')} Snake")
self.app.run(host=host, port=port, debug=debug)
@self.app.get('/metrics')
async def metrics():
return jsonify(self._build_metrics())
def _read_json_config_or_create(self):
snake_config = read_file(self.config_file, json.load)
@self.app.get('/metrics/prometheus')
async def metrics_prometheus():
return (
self._build_prometheus_metrics(),
200,
{'Content-Type': 'text/plain; version=0.0.4; charset=utf-8'},
)
async def run(self, host:str='0.0.0.0', port:int=8000, debug:bool=False):
logging.getLogger('werkzeug').setLevel(logging.ERROR)
await await_log(self.logger.info(f'Running Battlesnake at http://{host}:{port} with the {" ".join(re.findall("[A-Z][^A-Z]*", self.snake_type))}'))
await self.app.run_task(host=host, port=port, debug=debug)
async def _read_json_config_or_create(self) -> dict[str, str]:
snake_config = cast(dict[str, str]|None, await read_file(self.config_file, json.load))
if not snake_config:
snake_config = self.default_snake_config
save_file(self.config_file, snake_config, callback=json.dump, indent=2, ensure_ascii=False)
return snake_config
return await self._override_snake_config_with_environment_variables(self.default_snake_config)
return await self._override_snake_config_with_environment_variables(snake_config)
async def _override_snake_config_with_environment_variables(self, config:dict[str, str]) -> dict[str, str]:
config['version'] = self.snake_version
for key in ('author', 'color', 'head', 'tail'):
value = os.environ.get(f'SNAKE_{key.upper()}')
if value is not None:
config[key] = value
version_override = os.environ.get('SNAKE_VERSION')
if version_override is not None:
config['version'] = version_override
return config
def _get_snake_version(self) -> str:
configured_version = SnakeBuilder.get_version(self.snake_type)
if configured_version:
return configured_version
try:
snake = SnakeBuilder.build(self.snake_type)
except Exception:
return self.default_snake_config['version']
version = getattr(snake, 'version', None)
if version is None:
version = getattr(snake, 'VERSION', None)
if not version:
return self.default_snake_config['version']
return str(version)
def _get_stale_game_timeout_sec(self) -> int:
value = os.getenv('SNAKE_STUCK_GAME_TIMEOUT_SEC', '180')
try:
return max(30, int(value))
except ValueError:
return 180
async def _create_game_board(self, game_state: dict):
game_id = game_state['game']['id']
new_game_board = GameBoard(
game_id=game_id,
width=game_state['board']['width'],
height=game_state['board']['height'],
ruleset=game_state['game']['ruleset'],
source=game_state['game']['source'],
map=game_state['game']['map'],
snake_class=SnakeBuilder.build(self.snake_type),
)
await new_game_board.start_game(game_state)
self.running_games[game_id] = new_game_board
self.game_move_counts[game_id] = 0
self.game_last_seen_unix[game_id] = int(time.time())
self.metrics['games_started'] += 1
self.metrics['active_games_peak'] = max(
self.metrics['active_games_peak'],
len(self.running_games),
)
self.metrics['last_game_start_unix'] = int(time.time())
return new_game_board
def _delete_game_board(self, game_state:dict):
game_id = game_state['game']['id']
self.running_games.pop(game_id, None)
self.game_move_counts.pop(game_id, None)
self.game_last_seen_unix.pop(game_id, None)
async def _get_game_board(self, game_state:dict, end:bool=False):
game_id = game_state['game']['id']
try:
game_board = self.running_games[game_id]
except KeyError:
game_board = await self._create_game_board(game_state)
self.metrics['games_autocreated'] += 1
if not end:
self.metrics['total_moves'] += 1
self.game_move_counts[game_id] = self.game_move_counts.get(game_id, 0) + 1
self.game_last_seen_unix[game_id] = int(time.time())
game_board.read_game_data(game_state)
if end:
self._record_game_end(game_state)
game_board.end_game(game_state)
return game_board
def enable_store_game_state(self):
self.store_game_state = True
# info is called when you create your Battlesnake on play.battlesnake.com
# and controls your Battlesnake's appearance
# TIP: If you open your Battlesnake URL in a browser you should see this data
def _info(self) -> dict:
snake_config = self._read_json_config_or_create()
print("INFO Snake:", snake_config)
return snake_config
def _cleanup_database(self):
storage = StorageLoader.build(self.storage_type)()
return storage.cleanup()
# start is called when your Battlesnake begins a game
def _start(self, game_state:dict):
if self.store_game_state:
self.running_games[game_state["game"]["id"]] = GameStorage(self.snake.__class__.__name__, path=os.path.join(self.data_path, 'data', 'history'))
self.running_games[game_state["game"]["id"]].start_new_game(game_state["game"], game_state["board"], game_state["you"])
def _prune_stale_games(self):
if not self.running_games:
return
self.running_snake[game_state["game"]["id"]] = SnakeBuilder.build(self.snake_type)
print("GAME START:", game_state["game"])
now = int(time.time())
stale_ids = [
game_id
for game_id, last_seen in self.game_last_seen_unix.items()
if now - last_seen >= self.stale_game_timeout_sec
]
for game_id in stale_ids:
self.running_games.pop(game_id, None)
self.game_move_counts.pop(game_id, None)
self.game_last_seen_unix.pop(game_id, None)
self.metrics['games_stuck_removed'] += 1
# move is called when your Battlesnake game is running game
def _move(self, game_state:dict) -> dict:
next_move = self.running_snake[game_state["game"]["id"]].choose_move(game_state)
def _record_game_end(self, game_state: dict):
self.metrics['games_ended'] += 1
self.metrics['last_game_end_unix'] = int(time.time())
if self.store_game_state:
self.running_games[game_state["game"]["id"]].add_moves(game_state["board"], next_move)
if self.debug:
print(self.running_games[game_state["game"]["id"]])
final_turn = int(game_state.get('turn', 0))
self.metrics['total_turns'] += final_turn
self.metrics['max_turn'] = max(self.metrics['max_turn'], final_turn)
print("MOVE:", f"{next_move:5},", "Me:", {"head": game_state["you"]["head"], "length": game_state["you"]["length"]})
return {"move": next_move}
you_id = game_state.get('you', {}).get('id')
alive_snakes = game_state.get('board', {}).get('snakes', [])
alive_ids = {snake.get('id') for snake in alive_snakes}
# end is called when your Battlesnake finishes a game
def _end(self, game_state:dict):
if self.store_game_state:
snake = self.running_snake[game_state["game"]["id"]]
if you_id and you_id in alive_ids:
self.metrics['wins'] += 1
else:
self.metrics['losses'] += 1
self.running_games[game_state["game"]["id"]].add_end_state(game_state["board"], snake.get_history(), game_state["turn"])
self.running_games[game_state["game"]["id"]].save(
f"{snake.__class__.__name__}_{datetime.now().strftime('%d.%m.%Y_%H%M%S')}_{game_state['game']['id']}.json",
callback=json.dump, indent=2, ensure_ascii=False
def _build_metrics(self) -> dict:
games_ended = self.metrics['games_ended']
total_moves = self.metrics['total_moves']
avg_turns = self.metrics['total_turns'] / games_ended if games_ended else 0.0
win_rate = self.metrics['wins'] / games_ended if games_ended else 0.0
avg_move_ms = self.metrics['move_response_time_ms_total'] / total_moves if total_moves else 0.0
now = int(time.time())
oldest_active_age = 0
if self.game_last_seen_unix:
oldest_active_age = max(0, now - min(self.game_last_seen_unix.values()))
stale_candidates = sum(
1
for last_seen in self.game_last_seen_unix.values()
if now - last_seen >= self.stale_game_timeout_sec
)
return {
**self.metrics,
'active_games': len(self.running_games),
'tracked_games': len(self.game_move_counts),
'avg_turns_per_game': round(avg_turns, 2),
'win_rate': round(win_rate, 4),
'avg_move_response_ms': round(avg_move_ms, 2),
'http_requests_by_endpoint': dict(self.metrics['http_requests_by_endpoint']),
'move_direction_counts': dict(self.metrics['move_direction_counts']),
'oldest_active_game_age_sec': oldest_active_age,
'stale_game_timeout_sec': self.stale_game_timeout_sec,
'active_games_stale': stale_candidates,
}
def _record_http_request(self, endpoint:str):
self.metrics['http_requests_total'] += 1
endpoint_counts = self.metrics['http_requests_by_endpoint']
endpoint_counts[endpoint] = endpoint_counts.get(endpoint, 0) + 1
def _build_prometheus_metrics(self) -> str:
snapshot = self._build_metrics()
lines = [
'# HELP snake_games_started_total Total games started by snake server.',
'# TYPE snake_games_started_total counter',
f'snake_games_started_total {snapshot['games_started']}',
'# HELP snake_games_ended_total Total games ended by snake server.',
'# TYPE snake_games_ended_total counter',
f'snake_games_ended_total {snapshot['games_ended']}',
'# HELP snake_wins_total Total games won by this snake.',
'# TYPE snake_wins_total counter',
f'snake_wins_total {snapshot['wins']}',
'# HELP snake_losses_total Total games lost by this snake.',
'# TYPE snake_losses_total counter',
f'snake_losses_total {snapshot['losses']}',
'# HELP snake_moves_total Total move decisions served by /move.',
'# TYPE snake_moves_total counter',
f'snake_moves_total {snapshot['total_moves']}',
'# HELP snake_turns_total Total turns across all ended games.',
'# TYPE snake_turns_total counter',
f'snake_turns_total {snapshot['total_turns']}',
'# HELP snake_active_games Currently active games in memory.',
'# TYPE snake_active_games gauge',
f'snake_active_games {snapshot['active_games']}',
'# HELP snake_tracked_games Currently tracked game IDs for move counters.',
'# TYPE snake_tracked_games gauge',
f'snake_tracked_games {snapshot['tracked_games']}',
'# HELP snake_max_turn Highest final turn seen in an ended game.',
'# TYPE snake_max_turn gauge',
f'snake_max_turn {snapshot['max_turn']}',
'# HELP snake_active_games_peak Highest active game count observed.',
'# TYPE snake_active_games_peak gauge',
f'snake_active_games_peak {snapshot['active_games_peak']}',
'# HELP snake_games_autocreated_total Games created on /move or /end due to missing /start.',
'# TYPE snake_games_autocreated_total counter',
f'snake_games_autocreated_total {snapshot['games_autocreated']}',
'# HELP snake_http_requests_total Total HTTP requests handled by this process.',
'# TYPE snake_http_requests_total counter',
f'snake_http_requests_total {snapshot['http_requests_total']}',
'# HELP snake_move_response_ms_total Total move endpoint compute time in milliseconds.',
'# TYPE snake_move_response_ms_total counter',
f'snake_move_response_ms_total {round(snapshot['move_response_time_ms_total'], 3)}',
'# HELP snake_move_response_ms_max Maximum move endpoint compute time in milliseconds.',
'# TYPE snake_move_response_ms_max gauge',
f'snake_move_response_ms_max {round(snapshot['move_response_time_ms_max'], 3)}',
'# HELP snake_avg_turns_per_game Average final turn per ended game.',
'# TYPE snake_avg_turns_per_game gauge',
f'snake_avg_turns_per_game {snapshot['avg_turns_per_game']}',
'# HELP snake_avg_move_response_ms Average move endpoint compute time in milliseconds.',
'# TYPE snake_avg_move_response_ms gauge',
f'snake_avg_move_response_ms {snapshot['avg_move_response_ms']}',
'# HELP snake_win_rate Win ratio from ended games (0.0 - 1.0).',
'# TYPE snake_win_rate gauge',
f'snake_win_rate {snapshot['win_rate']}',
'# HELP snake_last_game_start_unix Unix timestamp of most recent /start request.',
'# TYPE snake_last_game_start_unix gauge',
f'snake_last_game_start_unix {snapshot['last_game_start_unix']}',
'# HELP snake_last_game_end_unix Unix timestamp of most recent /end request.',
'# TYPE snake_last_game_end_unix gauge',
f'snake_last_game_end_unix {snapshot['last_game_end_unix']}',
'# HELP snake_last_move_unix Unix timestamp of most recent /move response.',
'# TYPE snake_last_move_unix gauge',
f'snake_last_move_unix {snapshot['last_move_unix']}',
'# HELP snake_games_stuck_removed_total Active games auto-removed due to inactivity timeout.',
'# TYPE snake_games_stuck_removed_total counter',
f'snake_games_stuck_removed_total {snapshot['games_stuck_removed']}',
'# HELP snake_oldest_active_game_age_sec Age in seconds of the oldest active game.',
'# TYPE snake_oldest_active_game_age_sec gauge',
f'snake_oldest_active_game_age_sec {snapshot['oldest_active_game_age_sec']}',
'# HELP snake_stale_game_timeout_sec Configured inactivity timeout for stale games.',
'# TYPE snake_stale_game_timeout_sec gauge',
f'snake_stale_game_timeout_sec {snapshot['stale_game_timeout_sec']}',
'# HELP snake_active_games_stale Active games currently beyond stale timeout.',
'# TYPE snake_active_games_stale gauge',
f'snake_active_games_stale {snapshot['active_games_stale']}',
]
lines.extend([
'# HELP snake_http_requests_by_endpoint_total Requests served grouped by endpoint.',
'# TYPE snake_http_requests_by_endpoint_total counter',
])
for endpoint, count in snapshot['http_requests_by_endpoint'].items():
lines.append(
f'snake_http_requests_by_endpoint_total{{endpoint="{endpoint}"}} {count}'
)
del self.running_games[game_state["game"]["id"]]
print("GAME OVER:\n- Winner is", [ x["name"] for x in game_state["board"]['snakes']])
del self.running_snake[game_state["game"]["id"]]
lines.extend([
'# HELP snake_moves_by_direction_total Move responses grouped by direction.',
'# TYPE snake_moves_by_direction_total counter',
])
for direction, count in snapshot['move_direction_counts'].items():
lines.append(
f'snake_moves_by_direction_total{{direction="{direction}"}} {count}'
)
return '\n'.join(lines) + '\n'
-7
View File
@@ -1,7 +0,0 @@
class SnakeBuilder:
@classmethod
def build(self, selected_snake:str):
snake_module = __import__(f'snakes.{selected_snake}', fromlist=[selected_snake])
snake_class = getattr(snake_module, selected_snake)
return snake_class()
+290
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@@ -0,0 +1,290 @@
import argparse, random, glob, json, math
from collections import Counter
from pathlib import Path
MOVES = ["up", "down", "left", "right"]
def resolve_input_files(inputs:list[str]) -> list[Path]:
resolved:list[Path] = []
seen:set[str] = set()
for item in inputs:
path = Path(item)
if path.is_dir():
for file_path in sorted(path.rglob("*.jsonl")):
key = str(file_path.resolve())
if key in seen:
continue
seen.add(key)
resolved.append(file_path)
continue
if any(ch in item for ch in "*?[]"):
for match in sorted(glob.glob(item)):
file_path = Path(match)
if not file_path.is_file():
continue
key = str(file_path.resolve())
if key in seen:
continue
seen.add(key)
resolved.append(file_path)
continue
if path.is_file():
key = str(path.resolve())
if key in seen:
continue
seen.add(key)
resolved.append(path)
return resolved
def _neighbors(x:int, y:int) -> list[tuple[int, int, str]]:
return [
(x, y + 1, "up"),
(x, y - 1, "down"),
(x - 1, y, "left"),
(x + 1, y, "right"),
]
def _safe_neighbor_count(point:tuple[int, int], blocked:set[tuple[int, int]], width:int, height:int) -> int:
count = 0
for nx, ny, _ in _neighbors(point[0], point[1]):
if not (0 <= nx < width and 0 <= ny < height):
continue
if (nx, ny) in blocked:
continue
count += 1
return count
def _manhattan_to_nearest_food(point: tuple[int, int], food: set[tuple[int, int]]) -> int:
if not food:
return 25
return min(abs(point[0] - fx) + abs(point[1] - fy) for fx, fy in food)
def extract_feature_values(row:dict) -> dict[str, float]:
board = row.get("game_board", {})
snakes = board.get("snakes", [])
if not snakes:
return {}
me = snakes[0]
body = me.get("body", [])
if not body:
return {}
width = int(board.get("width", 0))
height = int(board.get("height", 0))
head = body[0]
hx = int(head.get("x", 0))
hy = int(head.get("y", 0))
health = int(me.get("health", 100))
length = int(me.get("length", len(body)))
food_set = {(int(f.get("x", 0)), int(f.get("y", 0))) for f in board.get("food", [])}
hazard_set = {(int(h.get("x", 0)), int(h.get("y", 0))) for h in board.get("hazards", [])}
blocked = set()
for snake in snakes:
for seg in snake.get("body", []):
blocked.add((int(seg.get("x", 0)), int(seg.get("y", 0))))
features:dict[str, float] = {
"bias": 1.0,
"health_norm": max(0.0, min(1.0, health / 100.0)),
"length_norm": min(1.0, length / max(1.0, width * height)),
"turn_norm": min(1.0, int(row.get("turn", 0)) / 100.0),
"food_count_norm": min(1.0, len(food_set) / 10.0),
"hazard_count_norm": min(1.0, len(hazard_set) / 20.0),
"opponent_count_norm": min(1.0, max(0, len(snakes) - 1) / 7.0),
}
safe_total = 0
for nx, ny, move in _neighbors(hx, hy):
in_bounds = 1.0 if (0 <= nx < width and 0 <= ny < height) else 0.0
blocked_next = 1.0 if (nx, ny) in blocked else 0.0
food_next = 1.0 if (nx, ny) in food_set else 0.0
hazard_next = 1.0 if (nx, ny) in hazard_set else 0.0
if in_bounds and not blocked_next:
safe_total += 1
open_next = float(_safe_neighbor_count((nx, ny), blocked, width, height))
dist_food = float(_manhattan_to_nearest_food((nx, ny), food_set))
else:
open_next = 0.0
dist_food = 25.0
prefix = f"m:{move}:"
features[prefix + "in_bounds"] = in_bounds
features[prefix + "blocked"] = blocked_next
features[prefix + "food"] = food_next
features[prefix + "hazard"] = hazard_next
features[prefix + "open_next"] = min(4.0, open_next) / 4.0
features[prefix + "food_dist"] = min(25.0, dist_food) / 25.0
features["safe_total_norm"] = safe_total / 4.0
return features
class SoftmaxMoveModel:
def __init__(self):
self.weights = {move: {} for move in MOVES}
self.bias = {move: 0.0 for move in MOVES}
def _score(self, move:str, features:dict[str, float]) -> float:
weight_map = self.weights[move]
value = self.bias[move]
for name, feat in features.items():
value += weight_map.get(name, 0.0) * feat
return value
def fit(self, rows:list[dict], epochs:int=14, lr:float=0.08, l2:float=1e-6) -> None:
examples = []
for row in rows:
label = row.get("move")
if label not in MOVES:
continue
features = extract_feature_values(row)
if not features:
continue
examples.append((features, label))
if not examples:
return
for _ in range(epochs):
random.shuffle(examples)
for features, label in examples:
scores = {move: self._score(move, features) for move in MOVES}
max_score = max(scores.values())
exp_scores = {
move: math.exp(scores[move] - max_score) for move in MOVES
}
z = sum(exp_scores.values())
probs = {move: exp_scores[move] / z for move in MOVES}
for move in MOVES:
target = 1.0 if move == label else 0.0
gradient = target - probs[move]
self.bias[move] += lr * gradient
w = self.weights[move]
for name, feat in features.items():
current = w.get(name, 0.0)
update = lr * ((gradient * feat) - (l2 * current))
w[name] = current + update
def predict_scores(self, row:dict) -> dict[str, float]:
features = extract_feature_values(row)
if not features:
return {move: 0.0 for move in MOVES}
return {move: self._score(move, features) for move in MOVES}
def predict(self, row:dict) -> str:
scores = self.predict_scores(row)
return max(scores, key=lambda move: scores[move])
def evaluate(self, rows:list[dict]) -> dict:
total = 0
correct = 0
top2 = 0
confusion = {move: Counter() for move in MOVES}
for row in rows:
expected = row.get("move")
if expected not in MOVES:
continue
scores = self.predict_scores(row)
ranked = sorted(scores.items(), key=lambda item: item[1], reverse=True)
predicted = ranked[0][0]
total += 1
if predicted == expected:
correct += 1
if expected in {
ranked[0][0],
ranked[1][0] if len(ranked) > 1 else ranked[0][0],
}:
top2 += 1
confusion[expected][predicted] += 1
return {
"total": total,
"correct": correct,
"accuracy": round((correct / total) if total else 0.0, 4),
"top2_accuracy": round((top2 / total) if total else 0.0, 4),
"confusion": {label: dict(confusion[label]) for label in MOVES},
}
def to_dict(self) -> dict:
return {
"model_type": "softmax_moves_v2",
"moves": MOVES,
"weights": self.weights,
"bias": self.bias,
}
def read_rows(paths:list[Path]) -> list[dict]:
rows: list[dict] = []
for path in paths:
with path.open("r", encoding="utf-8") as handle:
for line in handle:
if not line.strip():
continue
row = json.loads(line)
if row.get("move") not in MOVES:
continue
if not row.get("game_board"):
continue
rows.append(row)
return rows
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Train Battlesnake move model")
parser.add_argument("--input", action="append", required=True)
parser.add_argument("--output", required=True)
parser.add_argument("--eval-split", type=float, default=0.2)
parser.add_argument("--seed", type=int, default=42)
parser.add_argument("--epochs", type=int, default=14)
parser.add_argument("--lr", type=float, default=0.08)
args = parser.parse_args()
paths = resolve_input_files(args.input)
if not paths:
raise SystemExit("No input files found")
rows = read_rows(paths)
if len(rows) < 50:
raise SystemExit("Need at least 50 rows for training")
random.seed(args.seed)
random.shuffle(rows)
eval_count = int(len(rows) * max(0.0, min(0.5, args.eval_split)))
eval_rows = rows[:eval_count]
train_rows = rows[eval_count:]
model = SoftmaxMoveModel()
model.fit(train_rows, epochs=max(1, args.epochs), lr=max(1e-4, args.lr))
metrics = model.evaluate(eval_rows)
output = Path(args.output)
output.parent.mkdir(parents=True, exist_ok=True)
payload = {
"input_files": [str(p) for p in paths],
"train_rows": len(train_rows),
"eval_rows": len(eval_rows),
"eval_metrics": metrics,
"model": model.to_dict(),
}
output.write_text(json.dumps(payload, indent=2), encoding="utf-8")
print(json.dumps({
"output": str(output),
"train_rows": len(train_rows),
"eval_rows": len(eval_rows),
"accuracy": metrics.get("accuracy"),
"top2_accuracy": metrics.get("top2_accuracy"),
},
indent=2,
))
+39
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@@ -0,0 +1,39 @@
from typing import TypedDict
from pathlib import Path
import os
from server.Server import Server
class RunConfig(TypedDict):
host: str
port: int
debug: bool
def env_bool(name:str, default:bool=False) -> bool:
value = os.environ.get(name)
if value is None:
return default
return value.lower() in {'1', 'true', 'yes', 'on'}
def build_server_from_env(default_snake_type:str) -> Server:
data_path = str(Path(__file__).resolve().parent.parent)
server = Server(
data_path=data_path,
snake_type=os.environ.get('SNAKE', default_snake_type),
storage_type=os.environ.get('STORAGE', 'LocalStorage'),
debug=env_bool('DEBUG_SERVER'),
check_tls_security=False,
)
if env_bool('STORE_GAME_HISTORY'):
server.enable_store_game_state()
return server
def build_run_config() -> RunConfig:
return {
'host': os.environ.get('HOST', '0.0.0.0'),
'port': int(os.environ.get('PORT', '8000')),
'debug': env_bool('DEBUG'),
}
+156
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@@ -0,0 +1,156 @@
from server.GameBoard import GameBoard
from server.Dataset import Dataset
from datetime import datetime
import json, time
try:
import gel as _gel # type: ignore[import-not-found]
except ImportError: # pragma: no cover
_gel = None
class EdgeDB:
def __init__(self, database:str=None, tls_security:str='insecure', **kwargs):
self.database = database
self.tls_security = tls_security
self._connect()
def _connect(self):
if _gel is None:
raise ImportError("The 'gel' package is required to use EdgeDB storage")
self.client = _gel.create_client(
tls_security=self.tls_security, database=self.database
)
def run_query_with_reconnection(self, function, *args, **kwargs):
while True:
try:
return function(*args, **kwargs)
except Exception as error:
if error.__class__.__name__ != "ClientConnectionFailedError":
raise
self._connect()
time.sleep(0.5)
def insert_game_type(self, name:str, is_ladder:bool):
return self.run_query_with_reconnection(
self.client.query_required_single,
"""
insert GameType {
name := <str>$name,
is_ladder := <bool>$is_ladder
}""",
name=name,
is_ladder=is_ladder
)
def create_moves_with_calculations(self, game_board:GameBoard):
data = []
moves = game_board.turns
snake_calulations = [[calc for calc in ele["data"]] for ele in game_board.snake_class.get_history() ]
labels_by_turn = Dataset(game_board).labels_by_turn()
for i in range(len(moves)):
calculations = snake_calulations[i] if i < len(snake_calulations) else []
calculations.append({
"dataset": {
"is_good_move": labels_by_turn.get(moves[i]["turn"], False)
}
})
data.append({
"turn": moves[i]["turn"],
"move": moves[i]["move"],
"game_board": moves[i]["game_board"],
"calculations": calculations,
})
return data
async def insert(self, game_board:GameBoard):
game_type = game_board.get_type_of_game()
self.run_query_with_reconnection(
self.client.query,
"""
insert GameBoard {
id := <uuid>$id,
created_at := <datetime>$created_at,
turns := <int32>$turns,
map := <str>$map,
winner := <str>$winner,
moves := (
with input_data := <array <tuple <turn: int32, `move`: str, game_board: json, calculations: array<json> >>>$moves
for data in array_unpack(input_data)
insert Moves {
turn := data.turn,
snake_move := data.`move`,
game_board := data.game_board,
calculations := data.calculations
}
),
type := (
insert GameType {
name := <str>$game_type,
is_ladder := <bool>$is_ladder
} unless conflict on (.name, .is_ladder) else GameType
),
ruleset := (
insert Ruleset {
name := <str>$ruleset,
version := <str>$version,
settings := to_json(<str>$settings)
} unless conflict on (.name, .version, .settings) else Ruleset
),
snake := (
insert Snake {
type := <str>$snake_type
} unless conflict on .type else Snake
)
}""",
id=game_board.id,
created_at=datetime.fromtimestamp(game_board.now_date.timestamp(), game_board.now_date.astimezone().tzinfo),
turns=game_board.turn,
map=game_board.map if game_board.map else "standard",
winner=', '.join(game_board.winner_snake_names)
if game_board.winner_snake_names
else "",
moves=[
tuple(
[
x["turn"],
x["move"],
json.dumps(x["game_board"]),
[json.dumps(ele) for ele in x["calculations"]],
]
)
for x in self.create_moves_with_calculations(game_board)
],
game_type=game_type["name"],
is_ladder=game_type["is_ladder"],
ruleset=game_board.ruleset["name"],
version=game_board.ruleset["version"],
settings=json.dumps(game_board.ruleset["settings"]),
snake_type=game_board.snake_class.__class__.__name__,
)
async def save(self, game_board:GameBoard):
await self.insert(game_board)
def __del__(self):
self.client.close()
def cleanup(self):
return self.run_query_with_reconnection(
self.client.query_json,
"""
delete Moves { };
with gameboard := (delete GameBoard filter .turns < <std::int32>"200" or .is_winner_me = <std::bool>"false")
select gameboard {id, url, winner, turns, type: { is_ladder, name } } order by .turns desc;
"""
)
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from server.GameBoard import GameBoard
from server.Dataset import Dataset
from server.Files import save_file
import aiofiles
import aiofiles.os
import gzip
import json, os
class LocalStorage:
def __init__(self, file_path:str, **kwargs):
self.save_folder_dict = {
"standard": "01_Standard",
"duel": "02_Duels",
"constrictor": "04_Constrictor",
"solo": "05_Solo",
}
self.file_path = file_path
self.dataset_only = os.getenv("STORE_DATASET_ONLY", "false").strip().lower() in ("1", "true", "yes", "on")
self.dataset_jsonl_path = os.getenv("DATASET_JSONL_PATH", os.path.join(self.file_path, "dataset", "good_moves.jsonl"))
self.dataset_rotate_daily = os.getenv("DATASET_ROTATE_DAILY", "true").strip().lower() in ("1", "true", "yes", "on")
self.dataset_compress_rotated = os.getenv("DATASET_COMPRESS_ROTATED", "true").strip().lower() in ("1", "true", "yes", "on")
self.dataset_max_bytes = int(float(os.getenv("DATASET_JSONL_MAX_MB", "50")) * 1024 * 1024)
def _get_active_dataset_path(self, game_board:GameBoard):
if not self.dataset_rotate_daily:
return self.dataset_jsonl_path
base, ext = os.path.splitext(self.dataset_jsonl_path)
if ext == "":
ext = ".jsonl"
return f"{base}-{game_board.now_date.strftime('%Y-%m-%d')}{ext}"
def _gzip_file(self, file_path:str):
gz_path = f"{file_path}.gz"
with open(file_path, "rb") as src:
with gzip.open(gz_path, "wb") as dst:
dst.writelines(src)
os.remove(file_path)
async def _compress_old_daily_files(self, active_path:str):
if not self.dataset_compress_rotated:
return
folder = os.path.dirname(active_path)
base_name = os.path.basename(self.dataset_jsonl_path)
base_stem, _ = os.path.splitext(base_name)
prefix = f"{base_stem}-"
active_name = os.path.basename(active_path)
if folder == "" or not await aiofiles.os.path.exists(folder):
return
for name in os.listdir(folder):
if name == active_name:
continue
if not name.startswith(prefix):
continue
if not name.endswith(".jsonl"):
continue
self._gzip_file(os.path.join(folder, name))
async def _rotate_if_needed(self, active_path:str, game_board:GameBoard):
if self.dataset_max_bytes <= 0:
return
if not await aiofiles.os.path.exists(active_path):
return
file_size = (await aiofiles.os.stat(active_path)).st_size
if file_size < self.dataset_max_bytes:
return
timestamp = game_board.now_date.strftime("%Y%m%d-%H%M%S")
rotated_path = f"{active_path}.{timestamp}.jsonl"
suffix = 1
while await aiofiles.os.path.exists(rotated_path):
suffix += 1
rotated_path = f"{active_path}.{timestamp}.{suffix}.jsonl"
await aiofiles.os.rename(active_path, rotated_path)
if self.dataset_compress_rotated:
self._gzip_file(rotated_path)
def _build_dataset_rows(self, dataset_payload:dict, game_board:GameBoard):
game_info = dataset_payload.get("game", {})
snake_info = dataset_payload.get("snake", {})
rows = []
for sample in dataset_payload.get("samples", []):
rows.append({
"game_id": game_info.get("id", game_board.id),
"game_map": game_info.get("map", game_board.map),
"game_type": game_info.get("type", game_board.get_type_of_game()),
"snake_type": snake_info.get(
"type", game_board.snake_class.__class__.__name__
),
"turn": sample.get("turn"),
"move": sample.get("move"),
"is_good_move": sample.get("is_good_move", False),
"game_board": sample.get("game_board"),
"history": sample.get("history"),
})
return rows
async def _append_dataset_jsonl(self, dataset_payload:dict, game_board:GameBoard):
rows = self._build_dataset_rows(dataset_payload, game_board)
if len(rows) == 0:
return
active_path = self._get_active_dataset_path(game_board)
await aiofiles.os.makedirs(os.path.dirname(active_path), exist_ok=True)
await self._compress_old_daily_files(active_path)
await self._rotate_if_needed(active_path, game_board)
async with aiofiles.open(active_path, "a") as f:
for row in rows:
await f.write(json.dumps(row, ensure_ascii=False) + "\n")
def _get_correct_folder_for_save_file(self, game_board:GameBoard, file_name:str, game_type:str, leader_board:bool, winner:bool):
storage_folder = self.file_path
if leader_board:
storage_folder = os.path.join(storage_folder, "00_Leaderboards")
storage_folder = os.path.join(storage_folder, self.save_folder_dict[game_type])
storage_folder = os.path.join(
storage_folder,
game_board.now_date.strftime("%Y"),
game_board.now_date.strftime("%m_%B"),
game_board.now_date.strftime("%d"),
)
if winner:
storage_folder = os.path.join(storage_folder, "Winner")
else:
storage_folder = os.path.join(storage_folder, "Lost")
return os.path.join(storage_folder, file_name)
async def save(self, game_board:GameBoard):
game_type = game_board.get_type_of_game()
dataset = Dataset(game_board).build(only_good_moves=True)
await self._append_dataset_jsonl(dataset, game_board)
if self.dataset_only:
return
save_file_path = self._get_correct_folder_for_save_file(
game_board,
f"{game_board.snake_class.__class__.__name__}_{game_board.now_date.strftime('%H-%M-%S')}_{game_board.id}.json",
game_type["name"],
game_type["is_ladder"],
True if game_board.winner_snake_names and "me" in game_board.winner_snake_names else False
)
payload = {
"winner": game_board.winner_snake_names,
"game": {
"url": game_board.url,
"id": game_board.id,
"final_turns": game_board.turn,
"map": game_board.map,
"type": game_type,
"ruleset": game_board.ruleset,
},
"moves": game_board.turns,
"snake": {
"type": game_board.snake_class.__class__.__name__,
"calculations": game_board.snake_class.get_history(),
},
"dataset": dataset,
}
await save_file(save_file_path, json.dumps(payload, indent=2, ensure_ascii=False))
def cleanup(self):
pass
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class StorageLoader:
@classmethod
def build(self, selected_storage:str):
storage_module = __import__(f'server.storage.{selected_storage}', fromlist=[selected_storage])
storage_class = getattr(storage_module, selected_storage)
return storage_class
-165
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@@ -1,165 +0,0 @@
from snakes.TemplateSnake import TemplateSnake
from queue import PriorityQueue, Queue
import random
class AStarSnake(TemplateSnake):
def avoid_my_body(self, my_body, possible_moves: dict) -> list:
"""
my_body: Set of tuples representing x/y coordinates for every segment of a Battlesnake.
e.g. {(0, 0), (1, 0), (2, 0)}
possible_moves: Dictionary of moves to pick from, with coordinates as tuples.
e.g. {"up": (0, 1), "down": (0, -1), "left": (-1, 0), "right": (1, 0)}
return: The dictionary of remaining possible_moves, with the moves leading to self-collision removed
"""
remove = []
for direction, location in possible_moves.items():
if location in my_body:
remove.append(direction)
for direction in remove:
del possible_moves[direction]
return possible_moves
def avoid_walls(self, board_width: int, board_height: int, possible_moves: dict):
remove = []
for direction, location in possible_moves.items():
x_out_range = (location[0] < 0 or location[0] == board_width)
y_out_range = (location[1] < 0 or location[1] == board_height)
if x_out_range or y_out_range:
remove.append(direction)
for direction in remove:
del possible_moves[direction]
return possible_moves
def avoid_snakes(self, snakes: list, possible_moves: dict):
remove = []
for snake in snakes:
for direction, location in possible_moves.items():
if location in snake["body"]:
remove.append(direction)
remove = set(remove)
for direction in remove:
del possible_moves[direction]
return possible_moves
def get_target_close(self, foods: list, my_head: tuple):
if len(foods) == 0:
return None
return min(foods, key=lambda food: abs(food["x"] - my_head[0]) + abs(food["y"] - my_head[1]))
def flood_fill(self, board_width: int, board_height: int, my_body: set):
"""
Perform Flood Fill to identify safe areas on the board.
"""
visited = set()
safe_cells = set()
# Define directions (up, down, left, right)
directions = [(0, 1), (0, -1), (-1, 0), (1, 0)]
# Perform Flood Fill from each cell not occupied by the snake's body
for x in range(board_width):
for y in range(board_height):
if (x, y) not in my_body and (x, y) not in visited:
# Start Flood Fill from this cell
q = Queue()
q.put((x, y))
visited.add((x, y))
safe_cells.add((x, y))
# Continue Flood Fill until the queue is empty
while not q.empty():
current_cell = q.get()
for dx, dy in directions:
new_cell = (current_cell[0] + dx, current_cell[1] + dy)
if 0 <= new_cell[0] < board_width and 0 <= new_cell[1] < board_height:
if new_cell not in my_body and new_cell not in visited:
q.put(new_cell)
visited.add(new_cell)
safe_cells.add(new_cell)
return safe_cells
def choose_move(self, data: dict) -> str:
my_head = (data["you"]["head"]["x"], data["you"]["head"]["y"])
my_body = {(part["x"], part["y"]) for part in data["you"]["body"]}
board_height = data["board"]["height"]
board_width = data["board"]["width"]
foods = data["board"]["food"]
# Perform Flood Fill to identify safe areas on the board
safe_cells = self.flood_fill(board_width, board_height, my_body)
# Find the nearest food located in a safe area using A* algorithm
def heuristic(a, b):
return abs(a[0] - b[0]) + abs(a[1] - b[1])
def a_star(start, goal:set=()):
open_set = Queue()
open_set.put(start)
came_from = {}
g_score = {start: 0}
while not open_set.empty():
current = open_set.get()
if current == goal:
path = []
while current in came_from:
path.append(current)
current = came_from[current]
return path[::-1][0]
for dx, dy in [(0, 1), (0, -1), (-1, 0), (1, 0)]:
new_cell = (current[0] + dx, current[1] + dy)
if new_cell in safe_cells:
tentative_g_score = g_score[current] + 1
if new_cell not in g_score or tentative_g_score < g_score[new_cell]:
came_from[new_cell] = current
g_score[new_cell] = tentative_g_score
open_set.put(new_cell)
return None
try:
nearest_food = min(foods, key=lambda food: heuristic(my_head, (food["x"], food["y"])))
target_position = (nearest_food["x"], nearest_food["y"])
move_target = a_star(my_head, target_position)
except ValueError:
# TODO: What to do when no food is available?
# - Avoid own body and other snakes
# - Flut fill?
move_target = a_star(my_head, safe_cells)
print(move_target)
# Choose the next move based on the path obtained from A* algorithm
if move_target:
dx = move_target[0] - my_head[0]
dy = move_target[1] - my_head[1]
self.add_to_history({"my_head": my_head, "my_body": tuple(my_body), "target": move_target, "target_position": target_position, "nearest_food": nearest_food, "dx": dx, "dy": dy})
if dx == 1:
return "right"
elif dx == -1:
return "left"
elif dy == 1:
return "up"
elif dy == -1:
return "down"
# If no safe path to food is found, choose a random move
random_move = random.choice(["up", "down", "left", "right"])
try:
self.add_to_history({"my_head": my_head, "my_body": tuple(my_body), "target": move_target, "target_position": target_position, "nearest_food": nearest_food, "random_move": random_move})
except UnboundLocalError:
self.add_to_history({"my_head": my_head, "my_body": tuple(my_body), "target": move_target, "random_move": random_move})
return random_move
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from snakes.TemplateSnake import TemplateSnake
from server.GameBoard import GameBoard
from collections import deque
class BetterMasterSnake(TemplateSnake):
VERSION = "1.3.0"
def __init__(self):
super().__init__()
self.name = "BetterMasterSnake"
self.version = self.VERSION
# Definiere die möglichen Bewegungsrichtungen
self.min_safe_area = 2
def choose_move(self, game_data:GameBoard):
self.game_board = game_data
self.calculations = []
self.eat_the_snake_overwrite = False
self.safe_positions = self.find_safe_positions(add_to_calculations=True)
if self.eat_the_snake_overwrite:
return self.overwrite_eat_the_other_snake(game_data.get_turn())
if game_data.get_type() == "constrictor":
move = self.selected_move_constrictor()
else:
move = self.selected_move_standard()
self.add_to_history({"turn": game_data.get_turn(), "data": self.calculations})
return move if move else "up"
def overwrite_eat_the_other_snake(self, turn:int):
self.add_calculations({"function": "eat_the_snake_overwrite", "my_head": self.game_board.get_my_snake_head(), "move": self.kill_the_snake, "safe_positions": self.safe_positions})
self.add_to_history({"turn": turn, "data": self.calculations})
return self.kill_the_snake
#TODO: How to Fill the Gameboard best?
def selected_move_constrictor(self):
move = self.move_close_to_body()
self.add_calculations({"function": "move_close_to_body", "my_head": self.game_board.get_my_snake_head(), "move": move})
move = self.ensure_escape_route(move)
self.add_calculations({"function": "ensure_escape_route", "my_head": self.game_board.get_my_snake_head(), "move": move, "safe_positions": self.safe_positions})
return move
def selected_move_standard(self, move=None):
# Finde den besten Weg zur Nahrung
path_to_food = self.find_path_to_food()
if path_to_food:
move = self.move_towards(path_to_food[0])
self.add_calculations({"function": "move_towards", "my_head": self.game_board.get_my_snake_head(), "path_to_food": path_to_food, "move": move})
if not move or self.would_eating_the_food_kill_the_snake(move):
move = self.move_close_to_body(move_close_to_tail=True)
self.add_calculations({"function": "move_close_to_body", "my_head": self.game_board.get_my_snake_head(), "move": move})
# Überprfe, ob der Zug einen Ausweg lässt
move = self.ensure_escape_route(move)
self.add_calculations({"function": "ensure_escape_route", "my_head": self.game_board.get_my_snake_head(), "move": move, "safe_positions": self.safe_positions})
return move
def find_path_to_food(self):
# Exclude own snake's body from obstacles
obstacles = set((part['x'], part['y']) for part in self.game_board.get_my_snake_body())
for snake in self.game_board.get_other_snakes():
for part in snake['body']:
obstacles.add((part['x'], part['y']))
other_snakes_other_snake_posible_moves_set = {(d['x'], d['y']) for d in self.other_snake_posible_moves}
removed_elements_set = set([(elem['x'], elem['y']) for elem in self.game_board.get_food() if (elem['x'], elem['y']) in other_snakes_other_snake_posible_moves_set])
obstacles |= removed_elements_set
self.food_positions = [elem for elem in self.game_board.get_food() if (elem['x'], elem['y']) not in other_snakes_other_snake_posible_moves_set]
if len(self.food_positions) > 0:
# Choose the closest food source based on the heuristic
closest_food = min(self.food_positions, key=lambda food: abs(food['x'] - self.game_board.get_my_snake_head()['x']) + abs(food['y'] - self.game_board.get_my_snake_head()['y']))
self.set_target_food(closest_food)
# Use A* to search for a safe path
return self.a_star_search(self.game_board.get_my_snake_head(), closest_food, obstacles)
return None
def find_path_to_tail(self):
# Exclude other snake's body from obstacles
obstacles = set((part['x'], part['y']) for part in self.game_board.get_my_snake_body())
for snake in self.game_board.get_other_snakes():
for part in snake['body']:
obstacles.add((part['x'], part['y']))
my_snake_tail = {"x": self.game_board.get_my_snake_tail()['x'], "y": self.game_board.get_my_snake_tail()['y']}
# Use A* to search for a safe path
path = self.a_star_search(self.game_board.get_my_snake_head(), my_snake_tail, obstacles)
return path
def move_towards(self, target):
best_direction = None
min_distance = float('inf')
for direction, coords in self.safe_positions.items():
distance = abs(target['x'] - coords['x']) + abs(target['y'] - coords['y'])
if distance < min_distance:
min_distance = distance
best_direction = direction
return best_direction if best_direction else "up"
def move_close_to_body(self, move_close_to_tail=False):
# Heuristik, um Positionen nahe dem eigenen Körper zu bevorzugen
body_positions = set((part['x'], part['y']) for part in self.game_board.get_my_snake_body())
tail_position = (self.game_board.get_my_snake_tail()['x'], self.game_board.get_my_snake_tail()['y'])
best_move = None
max_distance = -1 # Initialize maximum distance
for direction, pos in self.safe_positions.items():
next_position = (pos['x'], pos['y'])
if next_position in self.safe_positions:
# Berechne die Distanz zum eigenen Körper
distance_to_body = min(abs(next_position[0] - part[0]) + abs(next_position[1] - part[1]) for part in body_positions)
# Berechne die Distanz zum eigenen Schwanz
distance_to_tail = abs(next_position[0] - tail_position[0]) + abs(next_position[1] - tail_position[1])
# Wähle die maximale Distanz (Körper oder Schwanz)
if move_close_to_tail:
distance = min(next_position, distance_to_tail)
else:
distance = max(next_position, distance_to_body)
# Update max_distance if a larger distance is found
if distance > max_distance:
max_distance = distance
best_move = direction
return best_move if best_move else "up" # Standardbewegung, falls keine bessere gefunden wird
#TODO: Neat to Implement Function to check if eating the food would kill the snake?
def would_eating_the_food_kill_the_snake(self, move:str):
return False
def ensure_escape_route(self, move:str):
try:
future_position = self.safe_positions[move]
except KeyError:
for move, pos in self.safe_positions.items():
if self.is_near_tail(pos, (self.game_board.get_my_snake_tail()['x'], self.game_board.get_my_snake_tail()['y'])):
self.add_calculations({"function": "ensure_escape_route", "move": move, "is_near_tail": True})
move = self.move_towards(pos)
return move
else:
path_to_tail = self.find_path_to_tail()
if path_to_tail:
self.add_calculations({"function": "move_towards", "my_head": self.game_board.get_my_snake_head(), "path_to_tail": path_to_tail, "move": move})
move = self.move_towards(path_to_tail[0])
self.add_calculations({"function": "ensure_escape_route", "move": move, "KeyError": "Snake Coild itself up"})
#return move
# TODO: Fix - Snake Neat to find the best way - Close to the Tail and maybe fill most free cells as posible
return move
def is_near_tail(self, position, tail):
return abs(position["x"] - tail[0]) + abs(position["y"] - tail[1]) <= 2
def a_star_search(self, start, goal, obstacles):
# Helper functions
def is_position_safe(position):
return 0 <= position['x'] < self.game_board.get_width() and 0 <= position['y'] < self.game_board.get_height() and (position['x'], position['y']) not in obstacles
def get_neighbors(position):
neighbors = []
for dx, dy in [(-1, 0), (1, 0), (0, -1), (0, 1)]: # links, rechts, oben, unten
neighbor = {'x': position['x'] + dx, 'y': position['y'] + dy}
if is_position_safe(neighbor):
neighbors.append(neighbor)
return neighbors
def heuristic(position, goal):
# Verwenden Sie eine Heuristik, die immer positiv ist, selbst wenn das Ziel in der Nähe ist
return max(abs(position['x'] - goal['x']), abs(position['y'] - goal['y']))
# Überprüfen, ob das Ziel direkt neben dem Startpunkt liegt
if start == goal or (abs(start['x'] - goal['x']) <= 1 and abs(start['y'] - goal['y']) <= 1):
# Wenn das Ziel neben dem Startpunkt liegt, ist der Pfad das Ziel selbst
return [goal]
# Initialize the open and closed list
open_set = set([(start['x'], start['y'])])
came_from = {}
g_score = {(start['x'], start['y']): 0}
f_score = {(start['x'], start['y']): heuristic(start, goal)}
while open_set:
current = min(open_set, key=lambda pos: f_score.get(pos, float('inf')))
current_dict = {'x': current[0], 'y': current[1]}
if current_dict == goal:
# Reconstruct the path
path = []
while current in came_from:
current = came_from[current]
path.append({'x': current[0], 'y': current[1]})
path.reverse()
if path and path[0] == start:
path.pop(0) # Entferne das erste Element, wenn es dem Start entspricht
return path # Return the path as a list of dicts
open_set.remove(current)
for neighbor in get_neighbors(current_dict):
neighbor_tuple = (neighbor['x'], neighbor['y'])
tentative_g_score = g_score[current] + 1 # Distance between neighbors is always 1
if tentative_g_score < g_score.get(neighbor_tuple, float('inf')):
came_from[neighbor_tuple] = current
g_score[neighbor_tuple] = tentative_g_score
f_score[neighbor_tuple] = g_score[neighbor_tuple] + heuristic(neighbor, goal)
if neighbor_tuple not in open_set:
open_set.add(neighbor_tuple)
return None # Kein Pfad gefunden
def find_direction(self):
# Beispielhafte Logik zur Auswahl einer Bewegungsrichtung
for direction, pos in self.safe_positions.items():
next_position = (pos['x'], pos['y'])
# Konvertiere safe_positions in eine Liste von Tupeln für den Vergleich
safe_positions_tuples = [(pos['x'], pos['y']) for pos in self.safe_positions.values()]
if next_position in safe_positions_tuples:
return direction
return "up" # Standardbewegung, falls keine sichere Position gefunden wird
+38 -36
View File
@@ -3,53 +3,55 @@ from snakes.TemplateSnake import TemplateSnake
import random
class DummSnake(TemplateSnake):
def choose_move(self, data: dict) -> str:
is_move_safe = {"up": True, "down": True, "left": True, "right": True}
VERSION = "1.0.0"
# We've included code to prevent your Battlesnake from moving backwards
my_head = data["you"]["body"][0] # Coordinates of your head
my_neck = data["you"]["body"][1] # Coordinates of your "neck"
def choose_move(self, data: dict) -> str:
is_move_safe = {"up": True, "down": True, "left": True, "right": True}
if my_neck["x"] < my_head["x"]: # Neck is left of head, don't move left
is_move_safe["left"] = False
# We've included code to prevent your Battlesnake from moving backwards
my_head = data["you"]["body"][0] # Coordinates of your head
my_neck = data["you"]["body"][1] # Coordinates of your "neck"
elif my_neck["x"] > my_head["x"]: # Neck is right of head, don't move right
is_move_safe["right"] = False
if my_neck["x"] < my_head["x"]: # Neck is left of head, don't move left
is_move_safe["left"] = False
elif my_neck["y"] < my_head["y"]: # Neck is below head, don't move down
is_move_safe["down"] = False
elif my_neck["x"] > my_head["x"]: # Neck is right of head, don't move right
is_move_safe["right"] = False
elif my_neck["y"] > my_head["y"]: # Neck is above head, don't move up
is_move_safe["up"] = False
elif my_neck["y"] < my_head["y"]: # Neck is below head, don't move down
is_move_safe["down"] = False
# TODO: Step 1 - Prevent your Battlesnake from moving out of bounds
# board_width = game_state['board']['width']
# board_height = game_state['board']['height']
elif my_neck["y"] > my_head["y"]: # Neck is above head, don't move up
is_move_safe["up"] = False
# TODO: Step 2 - Prevent your Battlesnake from colliding with itself
# my_body = game_state['you']['body']
# TODO: Step 1 - Prevent your Battlesnake from moving out of bounds
# board_width = game_state['board']['width']
# board_height = game_state['board']['height']
# TODO: Step 3 - Prevent your Battlesnake from colliding with other Battlesnakes
# opponents = game_state['board']['snakes']
# TODO: Step 2 - Prevent your Battlesnake from colliding with itself
# my_body = game_state['you']['body']
# Are there any safe moves left?
safe_moves = []
for move, isSafe in is_move_safe.items():
if isSafe:
safe_moves.append(move)
# TODO: Step 3 - Prevent your Battlesnake from colliding with other Battlesnakes
# opponents = game_state['board']['snakes']
if len(safe_moves) == 0:
print(f"MOVE {data['turn']}: No safe moves detected! Moving down")
self.add_to_history({"my_head": my_head, "my_neck": my_neck, "move": move, "safe_moves": safe_moves, "is_move_safe": is_move_safe})
return {"move": "down"}
# Are there any safe moves left?
safe_moves = []
for move, isSafe in is_move_safe.items():
if isSafe:
safe_moves.append(move)
# Choose a random move from the safe ones
move = random.choice(safe_moves)
if len(safe_moves) == 0:
print(f"MOVE {data['turn']}: No safe moves detected! Moving down")
self.add_to_history({"my_head": my_head, "my_neck": my_neck, "move": move, "safe_moves": safe_moves, "is_move_safe": is_move_safe})
return {"move": "down"}
# TODO: Step 4 - Move towards food instead of random, to regain health and survive longer
# food = game_state['board']['food']
# Choose a random move from the safe ones
move = random.choice(safe_moves)
self.add_to_history({"my_head": my_head, "my_neck": my_neck, "move": move, "safe_moves": safe_moves, "is_move_safe": is_move_safe})
print(f"{data['game']['id']} MOVE {data['turn']}: {move} picked from all valid options in {is_move_safe}")
# TODO: Step 4 - Move towards food instead of random, to regain health and survive longer
# food = game_state['board']['food']
return move
self.add_to_history({"my_head": my_head, "my_neck": my_neck, "move": move, "safe_moves": safe_moves, "is_move_safe": is_move_safe})
print(f"{data['game']['id']} MOVE {data['turn']}: {move} picked from all valid options in {is_move_safe}")
return move
+2
View File
@@ -4,6 +4,8 @@ import random
from scipy import spatial
class LogicSnake(TemplateSnake):
VERSION = "1.1.0"
def avoid_my_body(self, my_body, possible_moves: dict) -> list:
"""
my_body: List of dictionaries of x/y coordinates for every segment of a Battlesnake.
+211 -208
View File
@@ -1,246 +1,249 @@
from snakes.TemplateSnake import TemplateSnake
class MasterSnake(TemplateSnake):
def __init__(self):
super().__init__()
self.name = "MasterSnake"
self.disabled_find_near_by_food = True
VERSION = "1.2.0"
def is_food_nearby(self, head, food_positions):
for food in food_positions:
if abs(head['x'] - food['x']) <= 1 and abs(head['y'] - food['y']) <= 1:
return True
return False
def __init__(self):
super().__init__()
self.name = "MasterSnake"
self.version = self.VERSION
self.disabled_find_near_by_food = True
def avoid_snake_body(self, snakes, board_width, board_height):
# Konvertiere die Körperpositionen der Schlangen in ein Set von Tupeln für schnellen Zugriff
body_positions = set()
for snake in snakes:
for part in snake['body']:
body_positions.add((part['x'], part['y']))
def is_food_nearby(self, head, food_positions):
for food in food_positions:
if abs(head['x'] - food['x']) <= 1 and abs(head['y'] - food['y']) <= 1:
return True
return False
# Implementiere die Logik, um Positionen zu finden, die nicht von Schlangenkörpern belegt sind
safe_positions = self.find_safe_positions(body_positions, board_width, board_height)
return safe_positions
def avoid_snake_body(self, snakes, board_width, board_height):
# Konvertiere die Körperpositionen der Schlangen in ein Set von Tupeln für schnellen Zugriff
body_positions = set()
for snake in snakes:
for part in snake['body']:
body_positions.add((part['x'], part['y']))
def find_safe_positions(self, body_positions, board_width, board_height):
# Finde sichere Positionen basierend auf den Körperpositionen und der Größe des Spielbretts
safe_positions = []
for x in range(board_width): # Nutze die tatsächliche Breite des Spielbretts
for y in range(board_height): # Nutze die tatsächliche Höhe des Spielbretts
if (x, y) not in body_positions:
safe_positions.append({'x': x, 'y': y})
return safe_positions
# Implementiere die Logik, um Positionen zu finden, die nicht von Schlangenkörpern belegt sind
safe_positions = self.find_safe_positions(body_positions, board_width, board_height)
return safe_positions
def choose_move(self, game_data):
board_width = game_data['board']['width']
board_height = game_data['board']['height']
snakes = game_data['board']['snakes']
my_snake = game_data['you']
my_head = my_snake['head']
def find_safe_positions(self, body_positions, board_width, board_height):
# Finde sichere Positionen basierend auf den Körperpositionen und der Größe des Spielbretts
safe_positions = []
for x in range(board_width): # Nutze die tatsächliche Breite des Spielbretts
for y in range(board_height): # Nutze die tatsächliche Höhe des Spielbretts
if (x, y) not in body_positions:
safe_positions.append({'x': x, 'y': y})
return safe_positions
# Vermeide Schlangenkörper
safe_positions = self.avoid_snake_body(snakes, board_width, board_height)
def choose_move(self, game_data):
board_width = game_data['board']['width']
board_height = game_data['board']['height']
snakes = game_data['board']['snakes']
my_snake = game_data['you']
my_head = my_snake['head']
# Finde die nächstgelegene Nahrungsquelle, wenn Nahrung vorhanden ist
try:
if self.is_food_nearby(my_head, game_data['board']['food']) or self.disabled_find_near_by_food:
path_to_food = self.find_path_to_food(game_data)
if path_to_food:
# Implementiere Logik, um in Richtung der Nahrungsquelle zu bewegen, falls sicher
move = self.move_towards(my_head, path_to_food[0], safe_positions)
self.add_to_history({"my_head": my_head, "path_to_food": path_to_food, "move": move})
else:
# Einfache Logik, um eine Bewegungsrichtung zu wählen, wenn keine Nahrung vorhanden ist
move = self.find_direction(my_head, safe_positions)
self.add_to_history({"my_head": my_head, "move": move})
else:
# Wenn keine Nahrung in der Nähe ist, bewege dich in eine Richtung, die dich nahe an deinem eigenen Körper hält
move = self.find_direction(my_head, safe_positions)
self.add_to_history({"my_head": my_head, "move": move})
except ValueError:
move = self.find_direction(my_head, safe_positions)
self.add_to_history({"my_head": my_head, "move": move})
# Vermeide Schlangenkörper
safe_positions = self.avoid_snake_body(snakes, board_width, board_height)
# Finde den größten sicheren Bereich
max_area_start, max_area = self.flood_fill(my_head, safe_positions)
# Wenn der Schwanz der Schlange im größten sicheren Bereich liegt, bewege dich in Richtung des Schwanzes
my_tail = (my_snake['body'][-1]['x'], my_snake['body'][-1]['y']) # Convert to tuple
if my_tail in max_area:
move = self.move_towards(my_head, my_tail, safe_positions)
# Überprüfe zukünftige Bewegungen, um Sackgassen zu vermeiden
move = self.avoid_dead_ends(my_head, move, safe_positions, snakes)
# Finde die nächstgelegene Nahrungsquelle, wenn Nahrung vorhanden ist
try:
if self.is_food_nearby(my_head, game_data['board']['food']) or self.disabled_find_near_by_food:
path_to_food = self.find_path_to_food(game_data)
if path_to_food:
# Implementiere Logik, um in Richtung der Nahrungsquelle zu bewegen, falls sicher
move = self.move_towards(my_head, path_to_food[0], safe_positions)
self.add_to_history({"my_head": my_head, "path_to_food": path_to_food, "move": move})
else:
# Einfache Logik, um eine Bewegungsrichtung zu wählen, wenn keine Nahrung vorhanden ist
move = self.find_direction(my_head, safe_positions)
self.add_to_history({"my_head": my_head, "move": move})
else:
# Wenn keine Nahrung in der Nähe ist, bewege dich in eine Richtung, die dich nahe an deinem eigenen Körper hält
move = self.find_direction(my_head, safe_positions)
self.add_to_history({"my_head": my_head, "move": move})
except ValueError:
move = self.find_direction(my_head, safe_positions)
self.add_to_history({"my_head": my_head, "move": move})
return move
# Finde den größten sicheren Bereich
max_area_start, max_area = self.flood_fill(my_head, safe_positions)
# Wenn der Schwanz der Schlange im größten sicheren Bereich liegt, bewege dich in Richtung des Schwanzes
my_tail = (my_snake['body'][-1]['x'], my_snake['body'][-1]['y']) # Convert to tuple
if my_tail in max_area:
move = self.move_towards(my_head, my_tail, safe_positions)
def move_towards(self, head, target, safe_positions):
directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
best_direction = None
min_distance = float('inf')
min_distance_to_body = float('inf')
body_positions = set((pos['x'], pos['y']) for pos in safe_positions[:-1]) # Exclude the head from body positions
# Überprüfe zukünftige Bewegungen, um Sackgassen zu vermeiden
move = self.avoid_dead_ends(my_head, move, safe_positions, snakes)
self.add_to_history({"my_head": my_head, "move": move})
for direction, (dx, dy) in directions.items():
next_position = {'x': head['x'] + dx, 'y': head['y'] + dy}
if next_position in safe_positions:
distance = abs(target[0] - next_position['x']) + abs(target[1] - next_position['y'])
distance_to_body = sum(abs(part[0] - next_position['x']) + abs(part[1] - next_position['y']) for part in body_positions)
if distance < min_distance or (distance == min_distance and distance_to_body < min_distance_to_body):
best_direction = direction
min_distance = distance
min_distance_to_body = distance_to_body
return move
return best_direction if best_direction else "up" # Default to moving up if no safe direction found
def move_towards(self, head, target, safe_positions):
directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
best_direction = None
min_distance = float('inf')
min_distance_to_body = float('inf')
body_positions = set((pos['x'], pos['y']) for pos in safe_positions[:-1]) # Exclude the head from body positions
def find_path_to_food(self, game_data):
my_head = game_data['you']['head']
food_positions = game_data['board']['food']
snakes = game_data['board']['snakes']
board_width = game_data['board']['width']
board_height = game_data['board']['height']
# Exclude own snake's body from obstacles
own_snake_body = game_data['you']['body']
obstacles = set((part['x'], part['y']) for part in own_snake_body)
for snake in snakes:
if snake['id'] != game_data['you']['id']:
for part in snake['body']:
obstacles.add((part['x'], part['y']))
# Choose the closest food source based on the heuristic
closest_food = min(food_positions, key=lambda food: abs(food['x'] - my_head['x']) + abs(food['y'] - my_head['y']))
# Use A* to search for a safe path
path = self.a_star_search(my_head, closest_food, obstacles, board_width, board_height)
return path
for direction, (dx, dy) in directions.items():
next_position = {'x': head['x'] + dx, 'y': head['y'] + dy}
if next_position in safe_positions:
distance = abs(target[0] - next_position['x']) + abs(target[1] - next_position['y'])
distance_to_body = sum(abs(part[0] - next_position['x']) + abs(part[1] - next_position['y']) for part in body_positions)
if distance < min_distance or (distance == min_distance and distance_to_body < min_distance_to_body):
best_direction = direction
min_distance = distance
min_distance_to_body = distance_to_body
def a_star_search(self, start, goal, obstacles, board_width, board_height):
# Convert snake positions into a set of obstacles
# Helper functions
def is_position_safe(position):
x, y = position
return 0 <= x < board_width and 0 <= y < board_height and position not in obstacles
return best_direction if best_direction else "up" # Default to moving up if no safe direction found
def get_neighbors(position):
x, y = position
return [(nx, ny) for nx, ny in [(x-1, y), (x+1, y), (x, y-1), (x, y+1)] if is_position_safe((nx, ny))]
def find_path_to_food(self, game_data):
my_head = game_data['you']['head']
food_positions = game_data['board']['food']
snakes = game_data['board']['snakes']
board_width = game_data['board']['width']
board_height = game_data['board']['height']
# Exclude own snake's body from obstacles
own_snake_body = game_data['you']['body']
obstacles = set((part['x'], part['y']) for part in own_snake_body)
for snake in snakes:
if snake['id'] != game_data['you']['id']:
for part in snake['body']:
obstacles.add((part['x'], part['y']))
# Choose the closest food source based on the heuristic
closest_food = min(food_positions, key=lambda food: abs(food['x'] - my_head['x']) + abs(food['y'] - my_head['y']))
# Use A* to search for a safe path
path = self.a_star_search(my_head, closest_food, obstacles, board_width, board_height)
return path
def heuristic(position, goal):
return abs(position[0] - goal[0]) + abs(position[1] - goal[1])
def a_star_search(self, start, goal, obstacles, board_width, board_height):
# Convert snake positions into a set of obstacles
# Helper functions
def is_position_safe(position):
x, y = position
return 0 <= x < board_width and 0 <= y < board_height and position not in obstacles
# Initialize start and goal positions
start = (start['x'], start['y'])
goal = (goal['x'], goal['y'])
def get_neighbors(position):
x, y = position
return [(nx, ny) for nx, ny in [(x-1, y), (x+1, y), (x, y-1), (x, y+1)] if is_position_safe((nx, ny))]
# Initialize the open and closed list
open_set = set([start])
came_from = {}
g_score = {start: 0}
f_score = {start: heuristic(start, goal)}
def heuristic(position, goal):
return abs(position[0] - goal[0]) + abs(position[1] - goal[1])
while open_set:
current = min(open_set, key=lambda pos: f_score.get(pos, float('inf')))
if current == goal:
# Reconstruct the path
path = []
while current in came_from:
path.append(current)
current = came_from[current]
path.reverse()
return path # Return the path as a list of tuples
# Initialize start and goal positions
start = (start['x'], start['y'])
goal = (goal['x'], goal['y'])
open_set.remove(current)
for neighbor in get_neighbors(current):
tentative_g_score = g_score[current] + 1 # Distance between neighbors is always 1
if tentative_g_score < g_score.get(neighbor, float('inf')):
came_from[neighbor] = current
g_score[neighbor] = tentative_g_score
f_score[neighbor] = g_score[neighbor] + heuristic(neighbor, goal)
if neighbor not in open_set:
open_set.add(neighbor)
# Initialize the open and closed list
open_set = set([start])
came_from = {}
g_score = {start: 0}
f_score = {start: heuristic(start, goal)}
return None # Kein Pfad gefunden
while open_set:
current = min(open_set, key=lambda pos: f_score.get(pos, float('inf')))
if current == goal:
# Reconstruct the path
path = []
while current in came_from:
path.append(current)
current = came_from[current]
path.reverse()
return path # Return the path as a list of tuples
def find_direction(self, head, safe_positions):
# Beispielhafte Logik zur Auswahl einer Bewegungsrichtung
directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
for direction, (dx, dy) in directions.items():
next_position = {'x': head['x'] + dx, 'y': head['y'] + dy}
if next_position in safe_positions:
return direction
return "up" # Standardbewegung, falls keine sichere Position gefunden wird
open_set.remove(current)
for neighbor in get_neighbors(current):
tentative_g_score = g_score[current] + 1 # Distance between neighbors is always 1
if tentative_g_score < g_score.get(neighbor, float('inf')):
came_from[neighbor] = current
g_score[neighbor] = tentative_g_score
f_score[neighbor] = g_score[neighbor] + heuristic(neighbor, goal)
if neighbor not in open_set:
open_set.add(neighbor)
def avoid_self_collision(self, future_head, body_positions):
# Überprüft, ob die zukünftige Kopfposition im Körper der Schlange liegt
return (future_head['x'], future_head['y']) not in body_positions
return None # Kein Pfad gefunden
def avoid_dead_ends(self, head, move, safe_positions, snakes):
directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
dx, dy = directions[move]
future_head = {'x': head['x'] + dx, 'y': head['y'] + dy}
body_positions = set((part['x'], part['y']) for part in snakes[0]['body'])
def find_direction(self, head, safe_positions):
# Beispielhafte Logik zur Auswahl einer Bewegungsrichtung
directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
for direction, (dx, dy) in directions.items():
next_position = {'x': head['x'] + dx, 'y': head['y'] + dy}
if next_position in safe_positions:
return direction
return "up" # Standardbewegung, falls keine sichere Position gefunden wird
if not self.is_future_move_safe(future_head, safe_positions, snakes) or not self.avoid_self_collision(future_head, body_positions):
for alternative_move in directions.keys():
dx, dy = directions[alternative_move]
alternative_future_head = {'x': head['x'] + dx, 'y': head['y'] + dy}
if self.is_future_move_safe(alternative_future_head, safe_positions, snakes) and self.avoid_self_collision(alternative_future_head, body_positions):
return alternative_move
return move
def avoid_self_collision(self, future_head, body_positions):
# Überprüft, ob die zukünftige Kopfposition im Körper der Schlange liegt
return (future_head['x'], future_head['y']) not in body_positions
def simulate_snake_movement(self, snakes):
future_body_positions = set()
for snake in snakes:
# Beachte, dass dies nur ein Beispiel ist und angepasst werden muss, um deine spezifische Spiellogik zu berücksichtigen
for part in snake['body'][:-1]: # Ignoriere den letzten Teil des Körpers, da er sich bewegt
future_body_positions.add((part['x'], part['y']))
return future_body_positions
def avoid_dead_ends(self, head, move, safe_positions, snakes):
directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
dx, dy = directions[move]
future_head = {'x': head['x'] + dx, 'y': head['y'] + dy}
body_positions = set((part['x'], part['y']) for part in snakes[0]['body'])
def is_future_move_safe(self, future_head, safe_positions, snakes):
# Simuliere die Bewegung der Schlange und aktualisiere die Positionen des eigenen Körpers
future_body_positions = self.simulate_snake_movement(snakes)
# Konvertiere safe_positions in ein Set von Tupeln für den Flood Fill Algorithmus
safe_positions_set = set((pos['x'], pos['y']) for pos in safe_positions)
# Entferne die zukünftigen Körperpositionen aus den sicheren Positionen
safe_positions_set = safe_positions_set - future_body_positions
# Füge die zukünftige Kopfposition hinzu, um sie als Startpunkt zu verwenden
safe_positions_set.add((future_head['x'], future_head['y']))
# Berechne die Anzahl der erreichbaren sicheren Positionen von der zukünftigen Kopfposition aus
reachable_positions = self.flood_fill((future_head['x'], future_head['y']), safe_positions_set)
# Entscheide, ob die Bewegung sicher ist, basierend auf der Anzahl der erreichbaren Positionen
if not self.is_future_move_safe(future_head, safe_positions, snakes) or not self.avoid_self_collision(future_head, body_positions):
for alternative_move in directions.keys():
dx, dy = directions[alternative_move]
alternative_future_head = {'x': head['x'] + dx, 'y': head['y'] + dy}
if self.is_future_move_safe(alternative_future_head, safe_positions, snakes) and self.avoid_self_collision(alternative_future_head, body_positions):
return alternative_move
return move
fill_bool = len(reachable_positions) > len(safe_positions_set) * 0.25
if fill_bool:
return fill_bool
def simulate_snake_movement(self, snakes):
future_body_positions = set()
for snake in snakes:
# Beachte, dass dies nur ein Beispiel ist und angepasst werden muss, um deine spezifische Spiellogik zu berücksichtigen
for part in snake['body'][:-1]: # Ignoriere den letzten Teil des Körpers, da er sich bewegt
future_body_positions.add((part['x'], part['y']))
return future_body_positions
return len(safe_positions_set) >= len(snakes[0]['body'])
def is_future_move_safe(self, future_head, safe_positions, snakes):
# Simuliere die Bewegung der Schlange und aktualisiere die Positionen des eigenen Körpers
future_body_positions = self.simulate_snake_movement(snakes)
# Konvertiere safe_positions in ein Set von Tupeln für den Flood Fill Algorithmus
safe_positions_set = set((pos['x'], pos['y']) for pos in safe_positions)
# Entferne die zukünftigen Körperpositionen aus den sicheren Positionen
safe_positions_set = safe_positions_set - future_body_positions
# Füge die zukünftige Kopfposition hinzu, um sie als Startpunkt zu verwenden
safe_positions_set.add((future_head['x'], future_head['y']))
# Berechne die Anzahl der erreichbaren sicheren Positionen von der zukünftigen Kopfposition aus
reachable_positions = self.flood_fill((future_head['x'], future_head['y']), safe_positions_set)
# Entscheide, ob die Bewegung sicher ist, basierend auf der Anzahl der erreichbaren Positionen
def flood_fill(self, start, safe_positions):
stack = [start]
visited = set()
max_area = 0
max_area_start = None
fill_bool = len(reachable_positions) > len(safe_positions_set) * 0.25
if fill_bool:
return fill_bool
while stack:
position = stack.pop()
if isinstance(position, dict):
position = tuple(position.values())
else:
position = tuple(position)
return len(safe_positions_set) >= len(snakes[0]['body'])
if position not in visited:
visited.add(position)
for dx, dy in [(-1, 0), (1, 0), (0, -1), (0, 1)]: # links, rechts, oben, unten
next_position = tuple([position[0] + dx, position[1] + dy])
if next_position in safe_positions:
stack.append(next_position)
def flood_fill(self, start, safe_positions):
stack = [start]
visited = set()
max_area = 0
max_area_start = None
# Überprüfe, ob der aktuelle Bereich größer ist als der bisher größte Bereich
if len(visited) > max_area:
max_area = len(visited)
max_area_start = position
while stack:
position = stack.pop()
if isinstance(position, dict):
position = tuple(position.values())
else:
position = tuple(position)
return max_area_start, visited
if position not in visited:
visited.add(position)
for dx, dy in [(-1, 0), (1, 0), (0, -1), (0, 1)]: # links, rechts, oben, unten
next_position = tuple([position[0] + dx, position[1] + dy])
if next_position in safe_positions:
stack.append(next_position)
# Überprüfe, ob der aktuelle Bereich größer ist als der bisher größte Bereich
if len(visited) > max_area:
max_area = len(visited)
max_area_start = position
return max_area_start, visited
-256
View File
@@ -1,256 +0,0 @@
from snakes.TemplateSnake import TemplateSnake
class MasterSnake(TemplateSnake):
def __init__(self):
super().__init__()
self.name = "MasterSnake"
self.history_head = []
def avoid_snake_body(self, snakes, board_width, board_height):
# Konvertiere die Körperpositionen der Schlangen in ein Set von Tupeln für schnellen Zugriff
body_positions = set()
for snake in snakes:
for part in snake['body']:
body_positions.add((part['x'], part['y']))
# Implementiere die Logik, um Positionen zu finden, die nicht von Schlangenkörpern belegt sind
safe_positions = self.find_safe_positions(body_positions, board_width, board_height)
return safe_positions
def find_safe_positions(self, body_positions, board_width, board_height):
# Finde sichere Positionen basierend auf den Körperpositionen und der Größe des Spielbretts
safe_positions = []
for x in range(board_width): # Nutze die tatsächliche Breite des Spielbretts
for y in range(board_height): # Nutze die tatsächliche Höhe des Spielbretts
if (x, y) not in body_positions:
safe_positions.append({'x': x, 'y': y})
return safe_positions
def choose_move(self, game_data):
board_width = game_data['board']['width']
board_height = game_data['board']['height']
snakes = game_data['board']['snakes']
my_snake = game_data['you']
my_head = my_snake['head']
# Vermeide Schlangenkörper
safe_positions = self.avoid_snake_body(snakes, board_width, board_height)
# Wähle Nahrung basierend auf verfügbarem Platz
try:
chosen_food = self.choose_food_based_on_space(game_data)
if chosen_food:
path_to_food = self.a_star_search(my_head, chosen_food, self.get_obstacles(game_data), board_width, board_height)
if path_to_food:
# Implementiere Logik, um in Richtung der Nahrungsquelle zu bewegen, falls sicher
move = self.move_towards_food(my_head, path_to_food[0], safe_positions)
self.add_to_history({"my_head": my_head, "path_to_food": path_to_food, "move": move})
else:
# Einfache Logik, um eine Bewegungsrichtung zu wählen, wenn kein Pfad zur Nahrung vorhanden ist
move = self.find_direction(my_head, safe_positions)
self.add_to_history({"my_head": my_head, "move": move})
else:
# Einfache Logik, um eine Bewegungsrichtung zu wählen, wenn keine geeignete Nahrung gefunden wird
move = self.find_direction(my_head, safe_positions)
self.add_to_history({"my_head": my_head, "move": move})
except ValueError:
move = self.find_direction(my_head, safe_positions)
self.add_to_history({"my_head": my_head, "move": move})
# Überprüfe zukünftige Bewegungen, um Sackgassen zu vermeiden
move = self.avoid_dead_ends_and_circles(my_head, move, safe_positions, board_width, board_height, snakes)
self.add_to_history({"my_head": my_head, "move": move})
self.add_to_history_head({"my_head": my_head, "move": move})
return move
def move_towards_food(self, head, food, safe_positions):
directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
best_direction = None
min_distance = float('inf')
min_distance_to_body = float('inf')
body_positions = set((pos['x'], pos['y']) for pos in safe_positions[:-1]) # Exclude the head from body positions
for direction, (dx, dy) in directions.items():
next_position = {'x': head['x'] + dx, 'y': head['y'] + dy}
if next_position in safe_positions:
distance = abs(food[0] - next_position['x']) + abs(food[1] - next_position['y'])
distance_to_body = sum(abs(part[0] - next_position['x']) + abs(part[1] - next_position['y']) for part in body_positions)
if distance < min_distance or (distance == min_distance and distance_to_body < min_distance_to_body):
best_direction = direction
min_distance = distance
min_distance_to_body = distance_to_body
return best_direction if best_direction else "up" # Default to moving up if no safe direction found
def find_path_to_food(self, game_data):
my_head = game_data['you']['head']
food_positions = game_data['board']['food']
snakes = game_data['board']['snakes']
board_width = game_data['board']['width']
board_height = game_data['board']['height']
# Exclude own snake's body from obstacles
own_snake_body = game_data['you']['body']
obstacles = set((part['x'], part['y']) for part in own_snake_body)
for snake in snakes:
if snake['id'] != game_data['you']['id']:
for part in snake['body']:
obstacles.add((part['x'], part['y']))
# Choose the closest food source based on the heuristic
closest_food = min(food_positions, key=lambda food: abs(food['x'] - my_head['x']) + abs(food['y'] - my_head['y']))
# Use A* to search for a safe path
path = self.a_star_search(my_head, closest_food, obstacles, board_width, board_height)
return path
def choose_food_based_on_space(self, game_data):
my_head = game_data['you']['head']
food_positions = game_data['board']['food']
snakes = game_data['board']['snakes']
board_width = game_data['board']['width']
board_height = game_data['board']['height']
my_length = game_data['you']['length']
# Sortiere die Nahrungsquellen basierend auf ihrer Entfernung
sorted_food = sorted(food_positions, key=lambda food: abs(food['x'] - my_head['x']) + abs(food['y'] - my_head['y']))
for food in sorted_food:
path = self.a_star_search(my_head, food, self.get_obstacles(game_data), board_width, board_height)
if path and self.will_fit_in_space(path, my_length, board_width, board_height):
return food # Diese Nahrung ist erreichbar und es gibt genug Platz
# Wenn keine geeignete Nahrung gefunden wird, gib ein Standard-Nahrungsobjekt zurück oder löse eine Ausnahme aus
if food_positions:
return food_positions[0] # Gib das erste Nahrungsobjekt zurück
else:
raise ValueError("Keine Nahrung gefunden") # Oder löse eine Ausnahme aus
def will_fit_in_space(self, path, snake_length, board_width, board_height):
# Überprüfe, ob die Länge des Pfades größer oder gleich der Länge der Schlange ist
if len(path) >= snake_length:
return True
# Überprüfe, ob es genügend Platz um den Endpunkt des Pfades gibt
end_of_path = path[-1]
space_count = self.count_space_around(end_of_path, board_width, board_height)
return space_count >= snake_length
def count_space_around(self, position, board_width, board_height):
# Zähle die Anzahl der erreichbaren Positionen um einen Punkt herum
x, y = position
count = 0
for dx in [-1, 0, 1]:
for dy in [-1, 0, 1]:
if (dx != 0 or dy != 0) and 0 <= x + dx < board_width and 0 <= y + dy < board_height:
count += 1
return count
def get_obstacles(self, game_data):
# Erstelle ein Set von Hindernissen für die A* Suche
obstacles = set()
for snake in game_data['board']['snakes']:
for part in snake['body']:
obstacles.add((part['x'], part['y']))
return obstacles
def a_star_search(self, start, goal, obstacles, board_width, board_height):
# Convert snake positions into a set of obstacles
# Helper functions
def is_position_safe(position):
x, y = position
return 0 <= x < board_width and 0 <= y < board_height and position not in obstacles
def get_neighbors(position):
x, y = position
return [(nx, ny) for nx, ny in [(x-1, y), (x+1, y), (x, y-1), (x, y+1)] if is_position_safe((nx, ny))]
def heuristic(position, goal):
return abs(position[0] - goal[0]) + abs(position[1] - goal[1])
# Initialize start and goal positions
start = (start['x'], start['y'])
goal = (goal['x'], goal['y'])
# Initialize the open and closed list
open_set = set([start])
came_from = {}
g_score = {start: 0}
f_score = {start: heuristic(start, goal)}
while open_set:
current = min(open_set, key=lambda pos: f_score.get(pos, float('inf')))
if current == goal:
# Reconstruct the path
path = []
while current in came_from:
path.append(current)
current = came_from[current]
path.reverse()
return path # Return the path as a list of tuples
open_set.remove(current)
for neighbor in get_neighbors(current):
tentative_g_score = g_score[current] + 1 # Distance between neighbors is always 1
if tentative_g_score < g_score.get(neighbor, float('inf')):
came_from[neighbor] = current
g_score[neighbor] = tentative_g_score
f_score[neighbor] = g_score[neighbor] + heuristic(neighbor, goal)
if neighbor not in open_set:
open_set.add(neighbor)
return None # Kein Pfad gefunden
def find_direction(self, head, safe_positions):
# Beispielhafte Logik zur Auswahl einer Bewegungsrichtung
directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
for direction, (dx, dy) in directions.items():
next_position = {'x': head['x'] + dx, 'y': head['y'] + dy}
if next_position in safe_positions:
return direction
return "up" # Standardbewegung, falls keine sichere Position gefunden wird
def is_in_history(self, future_head):
# Überprüfe, ob die zukünftige Kopfposition in den letzten N Bewegungen vorkommt
return any(future_head == move_data["my_head"] for move_data in self.history_head[-10:])
def avoid_dead_ends_and_circles(self, head, move, safe_positions, board_width, board_height, snakes):
directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
dx, dy = directions[move]
future_head = {'x': head['x'] + dx, 'y': head['y'] + dy}
if not self.is_future_move_safe(future_head, safe_positions, board_width, board_height, snakes) or self.is_in_history(future_head):
for alternative_move in directions.keys():
dx, dy = directions[alternative_move]
alternative_future_head = {'x': head['x'] + dx, 'y': head['y'] + dy}
if self.is_future_move_safe(alternative_future_head, safe_positions, board_width, board_height, snakes) and not self.is_in_history(alternative_future_head):
return alternative_move
return move
def add_to_history_head(self, move_data):
# Füge die aktuelle Kopfposition zur Historie hinzu und behalte nur die letzten 10 Positionen
self.history_head.append(move_data)
self.history_head = self.history_head[-10:]
def simulate_snake_movement(self, snakes):
future_body_positions = set()
for snake in snakes:
# Beachte, dass dies nur ein Beispiel ist und angepasst werden muss, um deine spezifische Spiellogik zu berücksichtigen
for part in snake['body'][:-1]: # Ignoriere den letzten Teil des Körpers, da er sich bewegt
future_body_positions.add((part['x'], part['y']))
return future_body_positions
def is_future_move_safe(self, future_head, safe_positions, board_width, board_height, snakes):
# Simuliere die Bewegung der Schlange und aktualisiere die Positionen des eigenen Körpers
future_body_positions = self.simulate_snake_movement(snakes)
# Konvertiere safe_positions in ein Set von Tupeln für den Flood Fill Algorithmus
safe_positions_set = set((pos['x'], pos['y']) for pos in safe_positions)
# Entferne die zukünftigen Körperpositionen aus den sicheren Positionen
safe_positions_set = safe_positions_set - future_body_positions
# Füge die zukünftige Kopfposition hinzu, um sie als Startpunkt zu verwenden
safe_positions_set.add((future_head['x'], future_head['y']))
# Berechne die Anzahl der erreichbaren sicheren Positionen von der zukünftigen Kopfposition aus
# Entscheide, ob die Bewegung sicher ist, basierend auf der Anzahl der erreichbaren Positionen
return safe_positions_set # oder wähle einen anderen Schwellenwert
+187 -2
View File
@@ -1,6 +1,14 @@
from server.GameBoard import GameBoard
import random
class TemplateSnake:
VERSION = "1.0.0"
def __init__(self):
self.history = []
self.target_food = None
self.name = self.__class__.__name__
self.version = getattr(self, "VERSION", "1.0.0")
def clear_history(self):
self.history = []
@@ -11,5 +19,182 @@ class TemplateSnake:
def get_history(self):
return self.history
def choose_move(self, game_data:dict):
pass
def add_calculations(self, calculations:dict):
self.calculations.append(calculations)
def choose_move(self, game_data:GameBoard):
self.game_board = game_data
self.calculations = []
self.eat_the_snake_overwrite = False
self.safe_positions = self.find_safe_positions(add_to_calculations=True)
moves = list(self.safe_positions.keys())
if len(moves) > 0:
move = random.choice(moves)
else:
print("No safe positions left - Going to Die")
move = None
self.add_to_history({"turn": game_data.get_turn(), "data": self.calculations})
return move if move else "up"
def get_possible_moves(self, snake_head):
return {
"up": {
"x": snake_head["x"],
"y": snake_head["y"] + 1
},
"down": {
"x": snake_head["x"],
"y": snake_head["y"] - 1
},
"left": {
"x": snake_head["x"] - 1,
"y": snake_head["y"]
},
"right": {
"x": snake_head["x"] + 1,
"y": snake_head["y"]
}
}
def get_snake_body_without_snake_tail(self, snake:list[dict]):
if len(set((pos["x"], pos["y"]) for pos in snake)) < 3:
return snake
snake.pop()
return snake
def avoid_my_body(self, my_body:list[dict], my_head:dict, safe_positions:dict[str, dict], add_to_calculations:bool=False) -> list:
"""
my_body: List of dictionaries of x/y coordinates for every segment of a Battlesnake.
e.g. [ {"x": 0, "y": 0}, {"x": 1, "y": 0}, {"x": 2, "y": 0} ]
possible_moves: List of strings. Moves to pick from.
e.g. ["up", "down", "left", "right"]
return: The list of remaining possible_moves, with the 'neck' direction removed
"""
remove = []
my_body = self.did_snake_eat_food(my_body, my_head, add_to_calculations)
for direction, location in safe_positions.items():
if location in my_body:
remove.append(direction)
for direction in remove:
del safe_positions[direction]
if add_to_calculations:
self.add_calculations({"function": "avoid_my_body", "my_body": my_body, "safe_positions": safe_positions})
return safe_positions
def avoid_walls(self, safe_positions:dict[str, dict], add_to_calculations:bool=False):
remove = []
for direction, location in list(safe_positions.items()):
x_out_range = (location["x"] < 0 or location["x"] == self.game_board.get_width())
y_out_range = (location["y"] < 0 or location["y"] == self.game_board.get_height())
if x_out_range or y_out_range:
remove.append(direction)
for direction in remove:
del safe_positions[direction]
if add_to_calculations:
self.add_calculations({"function": "avoid_walls", "board_width": self.game_board.get_width(), "board_height": self.game_board.get_height(), "safe_positions": safe_positions})
return safe_positions
def avoid_snakes(self, other_snakes:list[dict], safe_positions:dict[str, dict], add_to_calculations:bool=False):
remove = []
for snake in other_snakes:
for direction, location in safe_positions.items():
#if self.game_type == "constrictor":
if location in snake["body"]:
remove.append(direction)
#else:
# if location in self.get_snake_body_without_snake_tail(snake["body"]):
# remove.append(direction)
remove = set(remove)
for direction in remove:
del safe_positions[direction]
if add_to_calculations:
self.add_calculations({"function": "avoid_snakes", "other_snakes": other_snakes, "safe_positions": safe_positions})
return safe_positions
def avoid_get_eaten_by_other_snakes(self, other_snakes:list[dict], safe_positions:dict[str, dict], add_to_calculations:bool=False):
remove = []
no_way_out = {}
self.other_snake_posible_moves = []
for snake in other_snakes:
for direction, location in safe_positions.items():
if len(safe_positions) > 1:
self.other_snake_posible_moves = [{"x": v["x"], "y": v["y"]} for k, v in self.get_possible_moves(snake["head"]).items()]
if snake["length"] < self.game_board.get_my_snake()["length"] and location in self.other_snake_posible_moves:
self.eat_the_snake_overwrite = True
self.kill_the_snake = direction
#TODO: Testing - Check if snake on the way to the food here and only remove this pos
elif location in self.other_snake_posible_moves and location in [{"x": food["x"], "y": food["y"]} for food in self.game_board.get_food()]:
remove.append(direction)
elif location in self.other_snake_posible_moves:
no_way_out[direction] = location
remove.append(direction)
remove = set(remove)
for direction in remove:
del safe_positions[direction]
if len(safe_positions) == 0:
safe_positions = no_way_out
if add_to_calculations:
self.add_calculations({"function": "avoid_get_eaten_by_other_snakes", "other_snakes": other_snakes, "safe_positions": safe_positions})
return safe_positions
def find_safe_positions(self, add_to_calculations:bool=False):
safe_positions = self.get_possible_moves(self.game_board.get_my_snake_head())
if add_to_calculations:
self.add_calculations({"function": "get_possible_moves", "safe_positions": safe_positions})
safe_positions = self.avoid_my_body(self.game_board.get_my_snake_body(), self.game_board.get_my_snake_head(), safe_positions, add_to_calculations)
safe_positions = self.avoid_walls(safe_positions, add_to_calculations)
safe_positions = self.avoid_snakes(self.game_board.get_other_snakes(), safe_positions, add_to_calculations)
safe_positions = self.avoid_get_eaten_by_other_snakes(self.game_board.get_other_snakes(), safe_positions, add_to_calculations)
return safe_positions
def calculate_new_body_position(self, move:str=None, with_tail:bool=False):
if move:
head = self.get_possible_moves(self.game_board.get_my_snake_head())[move]
body = [head]
body.extend(self.game_board.get_my_snake_body())
body.pop()
if not with_tail:
body.pop()
return body
return move
def did_snake_eat_food(self, my_body:list[dict], my_head:dict, add_to_calculations:bool=False):
if self.target_food is None:
if add_to_calculations:
self.add_calculations({"function": "did_snake_eat_food", "my_body": my_body, "my_head": my_head, "target_food": self.target_food, "action": "No Target Food"})
return my_body
if self.target_food["x"] == my_head["x"] and self.target_food["y"] == my_head["y"]:
if add_to_calculations:
self.add_calculations({"function": "did_snake_eat_food", "my_body": my_body, "my_head": my_head, "target_food": self.target_food, "action": "Snake Eat no food"})
return my_body
if add_to_calculations:
self.add_calculations({"function": "did_snake_eat_food", "my_body": my_body[:-1], "my_head": my_head, "target_food": self.target_food, "action": "Remove Tail from Body"})
return my_body[:-1]
def set_target_food(self, target_food:dict):
self.target_food = target_food
return True
+91
View File
@@ -0,0 +1,91 @@
from pathlib import Path
from typing import Any
import random, json, os
from server.TrainBattleSnakeAI import MOVES, extract_feature_values
from snakes.TemplateSnake import TemplateSnake
class TrainedBattleSnake(TemplateSnake):
VERSION = "0.1.0"
def __init__(self):
super().__init__()
self.name = "TrainedBattleSnake"
self.version = self.VERSION
self._model_path:Path|None=None
self._model_data:dict[str, Any]|None=None
def choose_move(self, game_data) -> str:
self.game_board = game_data
self.calculations = []
safe_positions = self.find_safe_positions(add_to_calculations=True)
if not safe_positions:
self.add_to_history({"turn": game_data.get_turn(), "reason": "no_safe_moves"})
return "up"
model = self._load_model()
if not model:
move = random.choice(list(safe_positions.keys()))
self.add_to_history({
"turn": game_data.get_turn(),
"move": move,
"reason": "model_missing",
"safe_moves": list(safe_positions.keys()),
})
return move
row = {
"turn": game_data.get_turn(),
"game_board": game_data.get_game_board_as_dict(),
}
scores = self._predict_scores(model, row)
best_safe_move = max(safe_positions.keys(), key=lambda move: scores.get(move, float("-inf")))
self.add_to_history({
"turn": game_data.get_turn(),
"move": best_safe_move,
"safe_moves": list(safe_positions.keys()),
"scores": {move: round(scores.get(move, 0.0), 5) for move in MOVES},
})
return best_safe_move
def _load_model(self) -> dict[str, Any] | None:
env_path = os.getenv("TRAINED_SNAKE_MODEL", "models/battlesnake_softmax_v2.json")
path = Path(env_path)
if self._model_path == path and self._model_data is not None:
return self._model_data
if not path.exists() or not path.is_file():
self._model_path = path
self._model_data = None
return None
payload = json.loads(path.read_text(encoding="utf-8"))
model = payload.get("model")
if not isinstance(model, dict):
self._model_path = path
self._model_data = None
return None
self._model_path = path
self._model_data = model
return model
def _predict_scores(self, model:dict[str, Any], row:dict[str, Any]) -> dict[str, float]:
return self._predict_scores_softmax_v2(model, row)
def _predict_scores_softmax_v2(self, model:dict[str, Any], row:dict[str, Any]) -> dict[str, float]:
features = extract_feature_values(row)
weights = model.get("weights", {})
bias = model.get("bias", {})
scores:dict[str, float] = {}
for move in MOVES:
move_weights = weights.get(move, {})
score = float(bias.get(move, 0.0))
for name, value in features.items():
score += float(move_weights.get(name, 0.0)) * float(value)
scores[move] = score
return scores
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import importlib
SNAKE_REGISTRY = {
"TemplateSnake": "1.0.0",
"DummSnake": "1.0.0",
"LogicSnake": "1.1.0",
"MasterSnake": "1.2.0",
"BetterMasterSnake": "1.3.0",
"BestBattleSnake": "2.6.0",
"TrainedBattleSnake": "0.1.0",
}
def build_snake(selected_snake: str):
if selected_snake not in SNAKE_REGISTRY:
raise ValueError(f"Unknown snake: {selected_snake}")
snake_module = importlib.import_module(f"snakes.{selected_snake}")
snake_class = getattr(snake_module, selected_snake)
return snake_class()
def get_snake_version(selected_snake: str) -> str | None:
version = SNAKE_REGISTRY.get(selected_snake)
if version is None:
return None
return str(version)
class SnakeBuilder:
@classmethod
def build(self, selected_snake: str):
return build_snake(selected_snake)
@classmethod
def get_version(self, selected_snake: str) -> str | None:
return get_snake_version(selected_snake)
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@@ -1,4 +0,0 @@
BATTLESNAKE_CLI=battlesnake_cli_1.2.3_Linux_x86_64/battlesnake
$BATTLESNAKE_CLI play -W 11 -H 11 --name 'Python Starter Project' --url http://localhost:8000 -g solo --browser
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#!/usr/bin/env python3
import argparse
import time
from server.GameBoard import GameBoard
from snakes.BestBattleSnake import BestBattleSnake
def build_game_state() -> dict:
return {
"game": {
"id": "bench-best-snake",
"ruleset": {
"name": "standard",
"version": "v1.0.0",
"settings": {"hazardDamagePerTurn": 14},
},
"source": "custom",
"map": "standard",
},
"turn": 42,
"board": {
"height": 11,
"width": 11,
"food": [{"x": 1, "y": 9}, {"x": 9, "y": 1}],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 74,
"length": 8,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
{"x": 4, "y": 3},
{"x": 3, "y": 3},
{"x": 3, "y": 4},
{"x": 3, "y": 5},
{"x": 4, "y": 5},
],
},
{
"id": "enemy",
"name": "enemy",
"health": 70,
"length": 8,
"head": {"x": 7, "y": 7},
"body": [
{"x": 7, "y": 7},
{"x": 7, "y": 6},
{"x": 7, "y": 5},
{"x": 8, "y": 5},
{"x": 9, "y": 5},
{"x": 9, "y": 6},
{"x": 9, "y": 7},
{"x": 8, "y": 7},
],
},
],
},
"you": {
"id": "me",
"name": "me",
"health": 74,
"length": 8,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
{"x": 4, "y": 3},
{"x": 3, "y": 3},
{"x": 3, "y": 4},
{"x": 3, "y": 5},
{"x": 4, "y": 5},
],
},
}
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--iterations", type=int, default=1000)
args = parser.parse_args()
game_state = build_game_state()
board = GameBoard(
game_id=game_state["game"]["id"],
width=game_state["board"]["width"],
height=game_state["board"]["height"],
ruleset=game_state["game"]["ruleset"],
source=game_state["game"]["source"],
map=game_state["game"]["map"],
snake_class=BestBattleSnake(),
)
start = time.perf_counter()
for i in range(args.iterations):
game_state["turn"] = i + 1
board.read_game_data(game_state)
board.snake_neat_make_a_move()
elapsed = time.perf_counter() - start
avg_ms = (elapsed / max(1, args.iterations)) * 1000.0
print(f"BestBattleSnake benchmark: {args.iterations} moves in {elapsed:.4f}s ({avg_ms:.3f} ms/move)")
if __name__ == "__main__":
main()
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import unittest
from snakes.BestBattleSnake import BestBattleSnake
from server.GameBoard import GameBoard
def make_board(game_state):
board = GameBoard(
game_id=game_state["game"]["id"],
width=game_state["board"]["width"],
height=game_state["board"]["height"],
ruleset=game_state["game"]["ruleset"],
source=game_state["game"]["source"],
map=game_state["game"]["map"],
snake_class=BestBattleSnake(),
)
board.read_game_data(game_state)
return board
class TestBestBattleSnake(unittest.TestCase):
def test_avoids_walls_and_body(self):
game_state = {
"game": {
"id": "test-wall-body",
"ruleset": {"name": "standard", "version": "v1.0.0"},
"source": "custom",
"map": "standard",
},
"turn": 20,
"board": {
"height": 7,
"width": 7,
"food": [{"x": 5, "y": 5}],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 90,
"length": 4,
"head": {"x": 0, "y": 0},
"body": [
{"x": 0, "y": 0},
{"x": 0, "y": 1},
{"x": 1, "y": 1},
{"x": 1, "y": 0},
],
}
],
},
"you": {
"id": "me",
"name": "me",
"health": 90,
"length": 4,
"head": {"x": 0, "y": 0},
"body": [
{"x": 0, "y": 0},
{"x": 0, "y": 1},
{"x": 1, "y": 1},
{"x": 1, "y": 0},
],
},
}
move = make_board(game_state).snake_neat_make_a_move()
self.assertEqual(move, "right")
def test_prioritizes_food_when_low_health(self):
game_state = {
"game": {
"id": "test-food-low-health",
"ruleset": {"name": "standard", "version": "v1.0.0"},
"source": "custom",
"map": "standard",
},
"turn": 32,
"board": {
"height": 11,
"width": 11,
"food": [{"x": 6, "y": 5}],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 10,
"length": 3,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
],
}
],
},
"you": {
"id": "me",
"name": "me",
"health": 10,
"length": 3,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
],
},
}
move = make_board(game_state).snake_neat_make_a_move()
self.assertEqual(move, "right")
def test_prioritizes_food_when_safe(self):
game_state = {
"game": {
"id": "test-food-safe",
"ruleset": {"name": "standard", "version": "v1.0.0"},
"source": "custom",
"map": "standard",
},
"turn": 8,
"board": {
"height": 11,
"width": 11,
"food": [{"x": 6, "y": 5}],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 95,
"length": 3,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
],
}
],
},
"you": {
"id": "me",
"name": "me",
"health": 95,
"length": 3,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
],
},
}
move = make_board(game_state).snake_neat_make_a_move()
self.assertEqual(move, "right")
def test_avoids_losing_head_to_head(self):
game_state = {
"game": {
"id": "test-head-to-head",
"ruleset": {"name": "standard", "version": "v1.0.0"},
"source": "custom",
"map": "standard",
},
"turn": 44,
"board": {
"height": 11,
"width": 11,
"food": [{"x": 1, "y": 1}],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 90,
"length": 3,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
],
},
{
"id": "enemy",
"name": "enemy",
"health": 90,
"length": 6,
"head": {"x": 7, "y": 5},
"body": [
{"x": 7, "y": 5},
{"x": 7, "y": 4},
{"x": 7, "y": 3},
{"x": 7, "y": 2},
{"x": 7, "y": 1},
{"x": 6, "y": 1},
],
},
],
},
"you": {
"id": "me",
"name": "me",
"health": 90,
"length": 3,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
],
},
}
move = make_board(game_state).snake_neat_make_a_move()
self.assertNotEqual(move, "right")
def test_duel_small_length_lead_does_not_head_hunt(self):
game_state = {
"game": {
"id": "test-duel-small-no-head-hunt",
"ruleset": {"name": "standard", "version": "v1.0.0"},
"source": "custom",
"map": "standard",
},
"turn": 20,
"board": {
"height": 11,
"width": 11,
"food": [{"x": 1, "y": 1}],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 90,
"length": 7,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
{"x": 4, "y": 3},
{"x": 4, "y": 4},
{"x": 4, "y": 5},
{"x": 4, "y": 6},
],
},
{
"id": "enemy",
"name": "enemy",
"health": 90,
"length": 6,
"head": {"x": 7, "y": 5},
"body": [
{"x": 7, "y": 5},
{"x": 7, "y": 4},
{"x": 7, "y": 3},
{"x": 7, "y": 2},
{"x": 7, "y": 1},
{"x": 6, "y": 1},
],
},
],
},
"you": {
"id": "me",
"name": "me",
"health": 90,
"length": 7,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
{"x": 4, "y": 3},
{"x": 4, "y": 4},
{"x": 4, "y": 5},
{"x": 4, "y": 6},
],
},
}
move = make_board(game_state).snake_neat_make_a_move()
self.assertNotEqual(move, "right")
def test_duel_big_length_lead_can_head_hunt(self):
game_state = {
"game": {
"id": "test-duel-big-head-hunt",
"ruleset": {"name": "standard", "version": "v1.0.0"},
"source": "custom",
"map": "standard",
},
"turn": 20,
"board": {
"height": 11,
"width": 11,
"food": [{"x": 1, "y": 1}],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 90,
"length": 8,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
{"x": 4, "y": 3},
{"x": 4, "y": 4},
{"x": 4, "y": 5},
{"x": 4, "y": 6},
{"x": 5, "y": 6},
],
},
{
"id": "enemy",
"name": "enemy",
"health": 90,
"length": 6,
"head": {"x": 7, "y": 5},
"body": [
{"x": 7, "y": 5},
{"x": 7, "y": 4},
{"x": 7, "y": 3},
{"x": 7, "y": 2},
{"x": 7, "y": 1},
{"x": 6, "y": 1},
],
},
],
},
"you": {
"id": "me",
"name": "me",
"health": 90,
"length": 8,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
{"x": 4, "y": 3},
{"x": 4, "y": 4},
{"x": 4, "y": 5},
{"x": 4, "y": 6},
{"x": 5, "y": 6},
],
},
}
move = make_board(game_state).snake_neat_make_a_move()
self.assertEqual(move, "right")
def test_does_not_step_into_stacked_tail(self):
game_state = {
"game": {
"id": "test-stacked-tail",
"ruleset": {"name": "standard", "version": "v1.0.0"},
"source": "custom",
"map": "standard",
},
"turn": 15,
"board": {
"height": 11,
"width": 11,
"food": [{"x": 10, "y": 10}],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 90,
"length": 5,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 4, "y": 4},
{"x": 4, "y": 5},
{"x": 4, "y": 5},
],
}
],
},
"you": {
"id": "me",
"name": "me",
"health": 90,
"length": 5,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 4, "y": 4},
{"x": 4, "y": 5},
{"x": 4, "y": 5},
],
},
}
move = make_board(game_state).snake_neat_make_a_move()
self.assertNotEqual(move, "left")
def test_avoids_food_if_it_is_a_dead_end(self):
game_state = {
"game": {
"id": "test-food-dead-end",
"ruleset": {"name": "standard", "version": "v1.0.0"},
"source": "custom",
"map": "standard",
},
"turn": 30,
"board": {
"height": 7,
"width": 7,
"food": [{"x": 3, "y": 4}],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 70,
"length": 3,
"head": {"x": 3, "y": 3},
"body": [
{"x": 3, "y": 3},
{"x": 3, "y": 2},
{"x": 3, "y": 1},
],
},
{
"id": "enemy",
"name": "enemy",
"health": 90,
"length": 5,
"head": {"x": 2, "y": 4},
"body": [
{"x": 2, "y": 4},
{"x": 2, "y": 5},
{"x": 3, "y": 5},
{"x": 4, "y": 5},
{"x": 4, "y": 4},
],
},
],
},
"you": {
"id": "me",
"name": "me",
"health": 70,
"length": 3,
"head": {"x": 3, "y": 3},
"body": [
{"x": 3, "y": 3},
{"x": 3, "y": 2},
{"x": 3, "y": 1},
],
},
}
move = make_board(game_state).snake_neat_make_a_move()
self.assertNotEqual(move, "up")
def test_avoids_enemy_block_in_trap(self):
game_state = {
"game": {
"id": "test-enemy-block-in-trap",
"ruleset": {"name": "standard", "version": "v1.0.0"},
"source": "custom",
"map": "standard",
},
"turn": 24,
"board": {
"height": 7,
"width": 7,
"food": [{"x": 3, "y": 3}],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 72,
"length": 4,
"head": {"x": 3, "y": 2},
"body": [
{"x": 3, "y": 2},
{"x": 3, "y": 1},
{"x": 2, "y": 1},
{"x": 2, "y": 2},
],
},
{
"id": "enemy-a",
"name": "enemy-a",
"health": 90,
"length": 6,
"head": {"x": 4, "y": 4},
"body": [
{"x": 4, "y": 4},
{"x": 4, "y": 3},
{"x": 4, "y": 2},
{"x": 5, "y": 2},
{"x": 5, "y": 3},
{"x": 5, "y": 4},
],
},
{
"id": "enemy-b",
"name": "enemy-b",
"health": 90,
"length": 6,
"head": {"x": 1, "y": 3},
"body": [
{"x": 1, "y": 3},
{"x": 1, "y": 4},
{"x": 0, "y": 4},
{"x": 0, "y": 3},
{"x": 0, "y": 2},
{"x": 1, "y": 2},
],
},
],
},
"you": {
"id": "me",
"name": "me",
"health": 72,
"length": 4,
"head": {"x": 3, "y": 2},
"body": [
{"x": 3, "y": 2},
{"x": 3, "y": 1},
{"x": 2, "y": 1},
{"x": 2, "y": 2},
],
},
}
move = make_board(game_state).snake_neat_make_a_move()
self.assertEqual(move, "left")
def test_royale_uses_ruleset_hazard_damage_setting(self):
game_state = {
"game": {
"id": "test-royale-hazard-setting",
"ruleset": {
"name": "standard",
"version": "v1.0.0",
"settings": {"hazardDamagePerTurn": 22},
},
"source": "custom",
"map": "royale",
},
"turn": 5,
"board": {
"height": 11,
"width": 11,
"food": [],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 80,
"length": 3,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
],
}
],
},
"you": {
"id": "me",
"name": "me",
"health": 80,
"length": 3,
"head": {"x": 5, "y": 5},
"body": [
{"x": 5, "y": 5},
{"x": 5, "y": 4},
{"x": 5, "y": 3},
],
},
}
board = make_board(game_state)
snake = board.snake_class
self.assertEqual(snake._hazard_damage_per_turn(board), 22)
def test_royale_new_hazard_has_spawn_grace(self):
snake = BestBattleSnake()
point = (4, 4)
hazard_set = {point}
self.assertFalse(
snake._hazard_is_active(
point, ate_food=False, hazard_set=hazard_set, previous_hazard_set=set()
)
)
self.assertTrue(
snake._hazard_is_active(
point,
ate_food=False,
hazard_set=hazard_set,
previous_hazard_set=hazard_set,
)
)
self.assertFalse(
snake._hazard_is_active(
point,
ate_food=True,
hazard_set=hazard_set,
previous_hazard_set=hazard_set,
)
)
def test_constrictor_avoids_growth_dead_end(self):
game_state = {
"game": {
"id": "test-constrictor-dead-end",
"ruleset": {"name": "constrictor", "version": "v1.0.0"},
"source": "custom",
"map": "standard",
},
"turn": 12,
"board": {
"height": 7,
"width": 7,
"food": [],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 100,
"length": 4,
"head": {"x": 1, "y": 1},
"body": [
{"x": 1, "y": 1},
{"x": 1, "y": 0},
{"x": 0, "y": 0},
{"x": 0, "y": 1},
],
},
{
"id": "enemy",
"name": "enemy",
"health": 100,
"length": 8,
"head": {"x": 4, "y": 4},
"body": [
{"x": 4, "y": 4},
{"x": 3, "y": 4},
{"x": 3, "y": 3},
{"x": 2, "y": 3},
{"x": 2, "y": 2},
{"x": 2, "y": 0},
{"x": 2, "y": 2},
{"x": 3, "y": 1},
],
},
],
},
"you": {
"id": "me",
"name": "me",
"health": 100,
"length": 4,
"head": {"x": 1, "y": 1},
"body": [
{"x": 1, "y": 1},
{"x": 1, "y": 0},
{"x": 0, "y": 0},
{"x": 0, "y": 1},
],
},
}
move = make_board(game_state).snake_neat_make_a_move()
self.assertEqual(move, "up")
def test_duel_tightens_space_when_enemy_is_encased(self):
game_state = {
"game": {
"id": "test-encase-tighten",
"ruleset": {"name": "standard", "version": "v1.0.0"},
"source": "custom",
"map": "standard",
},
"turn": 40,
"board": {
"height": 7,
"width": 7,
"food": [{"x": 0, "y": 0}],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 92,
"length": 8,
"head": {"x": 2, "y": 3},
"body": [
{"x": 2, "y": 3},
{"x": 2, "y": 2},
{"x": 1, "y": 2},
{"x": 1, "y": 3},
{"x": 1, "y": 4},
{"x": 2, "y": 4},
{"x": 3, "y": 4},
{"x": 3, "y": 5},
],
},
{
"id": "enemy",
"name": "enemy",
"health": 88,
"length": 5,
"head": {"x": 4, "y": 3},
"body": [
{"x": 4, "y": 3},
{"x": 5, "y": 3},
{"x": 5, "y": 2},
{"x": 4, "y": 2},
{"x": 4, "y": 1},
],
},
],
},
"you": {
"id": "me",
"name": "me",
"health": 92,
"length": 8,
"head": {"x": 2, "y": 3},
"body": [
{"x": 2, "y": 3},
{"x": 2, "y": 2},
{"x": 1, "y": 2},
{"x": 1, "y": 3},
{"x": 1, "y": 4},
{"x": 2, "y": 4},
{"x": 3, "y": 4},
{"x": 3, "y": 5},
],
},
}
move = make_board(game_state).snake_neat_make_a_move()
self.assertEqual(move, "right")
def test_constrictor_prefers_choke_when_safe(self):
game_state = {
"game": {
"id": "test-constrictor-choke",
"ruleset": {"name": "constrictor", "version": "v1.0.0"},
"source": "custom",
"map": "standard",
},
"turn": 25,
"board": {
"height": 7,
"width": 7,
"food": [],
"hazards": [],
"snakes": [
{
"id": "me",
"name": "me",
"health": 100,
"length": 7,
"head": {"x": 2, "y": 3},
"body": [
{"x": 2, "y": 3},
{"x": 2, "y": 2},
{"x": 1, "y": 2},
{"x": 1, "y": 3},
{"x": 1, "y": 4},
{"x": 2, "y": 4},
{"x": 2, "y": 5},
],
},
{
"id": "enemy",
"name": "enemy",
"health": 100,
"length": 7,
"head": {"x": 4, "y": 3},
"body": [
{"x": 4, "y": 3},
{"x": 5, "y": 3},
{"x": 5, "y": 2},
{"x": 4, "y": 2},
{"x": 4, "y": 1},
{"x": 5, "y": 1},
{"x": 6, "y": 1},
],
},
],
},
"you": {
"id": "me",
"name": "me",
"health": 100,
"length": 7,
"head": {"x": 2, "y": 3},
"body": [
{"x": 2, "y": 3},
{"x": 2, "y": 2},
{"x": 1, "y": 2},
{"x": 1, "y": 3},
{"x": 1, "y": 4},
{"x": 2, "y": 4},
{"x": 2, "y": 5},
],
},
}
move = make_board(game_state).snake_neat_make_a_move()
self.assertEqual(move, "right")
if __name__ == "__main__":
unittest.main()
+52
View File
@@ -0,0 +1,52 @@
import unittest
from typing import cast
from server.Dataset import Dataset
from server.GameBoard import GameBoard
class DummySnake:
def get_history(self):
return [
{"turn": 1, "data": [{"score": 1}]},
{"turn": 2, "data": [{"score": 2}]},
]
class DummyGameBoard:
def __init__(self, winners):
self.id = "game-1"
self.map = "standard"
self.winner_snake_names = winners
self.snake_class = DummySnake()
self.turns = [
{"turn": 1, "move": "up", "game_board": {"width": 11, "height": 11}},
{"turn": 2, "move": "left", "game_board": {"width": 11, "height": 11}},
]
def get_type_of_game(self):
return {"name": "standard", "is_ladder": False}
class TestDataset(unittest.TestCase):
def test_build_only_good_moves_for_wins(self):
dataset = Dataset(cast(GameBoard, DummyGameBoard(["me"])))
payload = dataset.build(only_good_moves=True)
self.assertTrue(payload["did_win"])
self.assertEqual(payload["total_samples"], 2)
self.assertTrue(all(sample["is_good_move"] for sample in payload["samples"]))
def test_build_returns_no_samples_for_losses_when_only_good(self):
dataset = Dataset(cast(GameBoard, DummyGameBoard(["enemy"])))
payload = dataset.build(only_good_moves=True)
self.assertFalse(payload["did_win"])
self.assertEqual(payload["total_samples"], 0)
def test_labels_by_turn(self):
winner_labels = Dataset(cast(GameBoard, DummyGameBoard(["me"]))).labels_by_turn()
loser_labels = Dataset(cast(GameBoard, DummyGameBoard(["enemy"]))).labels_by_turn()
self.assertEqual(winner_labels, {1: True, 2: True})
self.assertEqual(loser_labels, {1: False, 2: False})
if __name__ == "__main__":
unittest.main()
+47
View File
@@ -0,0 +1,47 @@
import json
import tempfile
import unittest
from pathlib import Path
from server.DatasetExporter import DatasetExporter
class TestDatasetExporter(unittest.TestCase):
def test_export_jsonl(self):
with tempfile.TemporaryDirectory() as tmp:
input_dir = Path(tmp) / "data"
output_file = Path(tmp) / "out" / "dataset.jsonl"
game_file = input_dir / "game-1.json"
game_file.parent.mkdir(parents=True, exist_ok=True)
game_payload = {
"dataset": {
"game": {"id": "g-1", "map": "standard", "type": {"name": "duel"}},
"snake": {"type": "BestBattleSnake"},
"samples": [
{
"turn": 1,
"move": "up",
"is_good_move": True,
"game_board": {"width": 11, "height": 11},
"history": {"data": []},
}
],
}
}
game_file.write_text(json.dumps(game_payload), encoding="utf-8")
report = DatasetExporter(str(input_dir), str(output_file)).export_jsonl()
self.assertEqual(report["games_scanned"], 1)
self.assertEqual(report["samples_exported"], 1)
self.assertTrue(output_file.exists())
lines = output_file.read_text(encoding="utf-8").strip().splitlines()
self.assertEqual(len(lines), 1)
first = json.loads(lines[0])
self.assertEqual(first["game_id"], "g-1")
self.assertEqual(first["move"], "up")
self.assertTrue(first["is_good_move"])
if __name__ == "__main__":
unittest.main()
Generated
+310
View File
@@ -0,0 +1,310 @@
version = 1
revision = 3
requires-python = ">=3.13"
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