auto remove stuck games

add more metrics data
add enemy cut off trap check
2026-04-04 10:23:12 +02:00 · 2026-04-04 09:58:11 +02:00 · 2026-04-04 09:55:58 +02:00 · 2026-04-04 00:00:33 +02:00 · 2026-04-03 23:19:09 +02:00 · 2026-04-03 21:51:13 +02:00
51 changed files with 7007 additions and 1570 deletions
@@ -0,0 +1,40 @@
 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 }}
@@ -7,3 +7,10 @@
 __pycache__/
 data/
 .env
 .tools/
 dbschema/migrations/
 *.jsonl
 dataset/
 models/
@@ -0,0 +1,6 @@
 [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
@@ -0,0 +1 @@
 3.13
@@ -1,11 +1,13 @@
-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
+# Starten Sie Ihre Anwendung
-CMD [ "python", "main.py" ]
+EXPOSE 8000
 CMD [".venv/bin/hypercorn", "asgi:app", "--bind", "0.0.0.0:8000", "--workers", "1", "--websocket-ping-interval", "20", "--access-logfile", "-"]
@@ -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.
@@ -0,0 +1,5 @@
 from server.bootstrap import build_server_from_env
 server = build_server_from_env(default_snake_type="TemplateSnake")
 app = server.app
@@ -1,661 +0,0 @@
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 you grant is automatically extended to all recipients of the covered
 work and works based on it.
  A patent license is "discriminatory" if it does not include within
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 or that patent license was granted, prior to 28 March 2007.
  Nothing in this License shall be construed as excluding or limiting
 any implied license or other defenses to infringement that may
 otherwise be available to you under applicable patent law.
  12. No Surrender of Others' Freedom.
  If conditions are imposed on you (whether by court order, agreement or
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 excuse you from the conditions of this License.  If you cannot convey a
 covered work so as to satisfy simultaneously your obligations under this
 License and any other pertinent obligations, then as a consequence you may
 not convey it at all.  For example, if you agree to terms that obligate you
 to collect a royalty for further conveying from those to whom you convey
 the Program, the only way you could satisfy both those terms and this
 License would be to refrain entirely from conveying the Program.
  13. Remote Network Interaction; Use with the GNU General Public License.
  Notwithstanding any other provision of this License, if you modify the
 Program, your modified version must prominently offer all users
 interacting with it remotely through a computer network (if your version
 supports such interaction) an opportunity to receive the Corresponding
 Source of your version by providing access to the Corresponding Source
 from a network server at no charge, through some standard or customary
 means of facilitating copying of software.  This Corresponding Source
 shall include the Corresponding Source for any work covered by version 3
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  Notwithstanding any other provision of this License, you have
 permission to link or combine any covered work with a work licensed
 under version 3 of the GNU General Public License into a single
 combined work, and to convey the resulting work.  The terms of this
 License will continue to apply to the part which is the covered work,
 but the work with which it is combined will remain governed by version
 3 of the GNU General Public License.
  14. Revised Versions of this License.
  The Free Software Foundation may publish revised and/or new versions of
 the GNU Affero General Public License from time to time.  Such new versions
 will be similar in spirit to the present version, but may differ in detail to
 address new problems or concerns.
  Each version is given a distinguishing version number.  If the
 Program specifies that a certain numbered version of the GNU Affero General
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 version or of any later version published by the Free Software
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 GNU Affero General Public License, you may choose any version ever published
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  If the Program specifies that a proxy can decide which future
 versions of the GNU Affero General Public License can be used, that proxy's
 public statement of acceptance of a version permanently authorizes you
 to choose that version for the Program.
  Later license versions may give you additional or different
 permissions.  However, no additional obligations are imposed on any
 author or copyright holder as a result of your choosing to follow a
 later version.
  15. Disclaimer of Warranty.
  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
 APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
 HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
 OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
 THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
 PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
 IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
 ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
  16. Limitation of Liability.
  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
 WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
 THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
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 USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
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  17. Interpretation of Sections 15 and 16.
  If the disclaimer of warranty and limitation of liability provided
 above cannot be given local legal effect according to their terms,
 reviewing courts shall apply local law that most closely approximates
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 Program, unless a warranty or assumption of liability accompanies a
 copy of the Program in return for a fee.
                     END OF TERMS AND CONDITIONS
            How to Apply These Terms to Your New Programs
  If you develop a new program, and you want it to be of the greatest
 possible use to the public, the best way to achieve this is to make it
 free software which everyone can redistribute and change under these terms.
  To do so, attach the following notices to the program.  It is safest
 to attach them to the start of each source file to most effectively
 state the exclusion of warranty; and each file should have at least
 the "copyright" line and a pointer to where the full notice is found.
    <one line to give the program's name and a brief idea of what it does.>
    Copyright (C) <year>  <name of author>
    This program is free software: you can redistribute it and/or modify
    it under the terms of the GNU Affero General Public License as published
    by the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.
    This program is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU Affero General Public License for more details.
    You should have received a copy of the GNU Affero General Public License
    along with this program.  If not, see <http://www.gnu.org/licenses/>.
 Also add information on how to contact you by electronic and paper mail.
  If your software can interact with users remotely through a computer
 network, you should also make sure that it provides a way for users to
 get its source.  For example, if your program is a web application, its
 interface could display a "Source" link that leads users to an archive
 of the code.  There are many ways you could offer source, and different
 solutions will be better for different programs; see section 13 for the
 specific requirements.
  You should also get your employer (if you work as a programmer) or school,
 if any, to sign a "copyright disclaimer" for the program, if necessary.
 For more information on this, and how to apply and follow the GNU AGPL, see
 <http://www.gnu.org/licenses/>.
@@ -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!
@@ -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;
    }
  }
 }
@@ -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
@@ -0,0 +1,2 @@
 [edgedb]
 server-version = "5.3"
@@ -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"
@@ -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(
+  server = build_server_from_env(default_snake_type="TemplateSnake")
-        data_path=os.path.dirname(__file__),
+  asyncio.run(server.run(**build_run_config()))
        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))
    )
@@ -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",
 ]
@@ -1,10 +1,19 @@
-blinker==1.7.0
+aiofiles==25.1.0
-click==8.1.7
+blinker==1.9.0
-Flask==3.0.2
+click==8.3.1
-itsdangerous==2.1.2
+dotenv==0.9.9
-Jinja2==3.1.3
+flask==3.1.2
-MarkupSafe==2.1.5
+gel==3.1.0
-numpy==1.26.4
+h11==0.16.0
-python-dotenv==1.0.1
+h2==4.3.0
-scipy==1.12.0
+hpack==4.1.0
-Werkzeug==3.0.1
+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
@@ -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)
@@ -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
@@ -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))
@@ -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))
@@ -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")
@@ -1,16 +1,30 @@
 import aiofiles.os
 import aiofiles
 import os
 import inspect
-def read_file(path, callback=None):
+async def read_file(path: str, callback=None):
-  if os.path.exists(path):
+  if not await aiofiles.os.path.exists(path):
    with open(path, 'r') as f:
      data = callback(f)
    return data
  else:
    return None
-def save_file(path, data, callback=None, *args, **kwargs):
+  async with aiofiles.open(path, "r") as f:
-  if not os.path.exists(path):
+    if callback:
-    os.makedirs(os.path.dirname(path), exist_ok=True)
+      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)
@@ -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
@@ -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}"
@@ -1,113 +1,442 @@
-from server.Files import read_file, save_file
+from server.Files import read_file
-from server.GameStorage import GameStorage
+from server.GameBoard import GameBoard
-from snakes.TemplateSnake import TemplateSnake
+from snakes import SnakeBuilder
-from server.SnakeBuilder 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 server.storage.StorageLoader import StorageLoader
-from flask import Flask
+
-from flask import request
+from quart import Quart, request, jsonify
-import logging, json, os
+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("/")
+    self.app = Quart('Battlesnake')
    def on_info():
      return self._info()
-    @self.app.post("/start")
+    # info is called when you create your Battlesnake on play.battlesnake.com
-    def on_start():
+    # and controls your Battlesnake's appearance
-      game_state = request.get_json()
+    # TIP: If you open your Battlesnake URL in a browser you should see this data
-      self._start(game_state)
+    @self.app.get('/')
-      return "ok"
+    async def on_info():
      self._record_http_request('info')
      snake_config = await self._read_json_config_or_create()
-    @self.app.post("/move")
+      await await_log(self.logger.info(f'INFO Snake: {snake_config}'))
-    def on_move():
+      return snake_config
      game_state = request.get_json()
      return self._move(game_state)
-    @self.app.post("/end")
+    # start is called when your Battlesnake begins a game
-    def on_end():
+    @self.app.post('/start')
-      game_state = request.get_json()
+    async def on_start():
-      self._end(game_state)
+      self._record_http_request('start')
-      return "ok"
+      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):
+    async def identify_server(response):
-      response.headers.set(
+      response.headers.set('server', 'battlesnake/gitea/snake-python')
        "server", "battlesnake/github/starter-snake-python"
      )
      return response
-  def run(self, host:str="0.0.0.0", port:str="8000", debug:bool=False):
+    @self.app.get('/cleanup')
-    logging.getLogger("werkzeug").setLevel(logging.ERROR)
+    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.get('/metrics')
-    self.app.run(host=host, port=port, debug=debug)
+    async def metrics():
      return jsonify(self._build_metrics())
-  def _read_json_config_or_create(self):
+    @self.app.get('/metrics/prometheus')
-    snake_config = read_file(self.config_file, json.load)
+    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
+      return await self._override_snake_config_with_environment_variables(self.default_snake_config)
-      save_file(self.config_file, snake_config, callback=json.dump, indent=2, ensure_ascii=False)
+    return await self._override_snake_config_with_environment_variables(snake_config)
-    return 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
+  def _cleanup_database(self):
-  # and controls your Battlesnake's appearance
+    storage = StorageLoader.build(self.storage_type)()
-  # TIP: If you open your Battlesnake URL in a browser you should see this data
+    return storage.cleanup()
  def _info(self) -> dict:
    snake_config = self._read_json_config_or_create()
    print("INFO Snake:", snake_config)
    return snake_config
-  # start is called when your Battlesnake begins a game
+  def _prune_stale_games(self):
-  def _start(self, game_state:dict):
+    if not self.running_games:
-    if self.store_game_state:
+      return
      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"])
-    self.running_snake[game_state["game"]["id"]] = SnakeBuilder.build(self.snake_type)
+    now = int(time.time())
-    print("GAME START:", game_state["game"])
+    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 _record_game_end(self, game_state: dict):
-  def _move(self, game_state:dict) -> dict:
+    self.metrics['games_ended'] += 1
-    next_move = self.running_snake[game_state["game"]["id"]].choose_move(game_state)
+    self.metrics['last_game_end_unix'] = int(time.time())
-    if self.store_game_state:
+    final_turn = int(game_state.get('turn', 0))
-      self.running_games[game_state["game"]["id"]].add_moves(game_state["board"], next_move)
+    self.metrics['total_turns'] += final_turn
-      if self.debug:
+    self.metrics['max_turn'] = max(self.metrics['max_turn'], final_turn)
        print(self.running_games[game_state["game"]["id"]])
-    print("MOVE:", f"{next_move:5},", "Me:", {"head": game_state["you"]["head"], "length": game_state["you"]["length"]})
+    you_id = game_state.get('you', {}).get('id')
-    return {"move": next_move}
+    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
+    if you_id and you_id in alive_ids:
-  def _end(self, game_state:dict):
+      self.metrics['wins'] += 1
-    if self.store_game_state:
+    else:
-      snake = self.running_snake[game_state["game"]["id"]]
+      self.metrics['losses'] += 1
-      self.running_games[game_state["game"]["id"]].add_end_state(game_state["board"], snake.get_history(), game_state["turn"])
+  def _build_metrics(self) -> dict:
-      self.running_games[game_state["game"]["id"]].save(
+    games_ended = self.metrics['games_ended']
-        f"{snake.__class__.__name__}_{datetime.now().strftime('%d.%m.%Y_%H%M%S')}_{game_state['game']['id']}.json",
+    total_moves = self.metrics['total_moves']
-        callback=json.dump, indent=2, ensure_ascii=False
+    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']])
+    lines.extend([
-    del self.running_snake[game_state["game"]["id"]]
+      '# 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'
@@ -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()
@@ -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,
  ))
@@ -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'),
  }
@@ -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;
      """
    )
@@ -0,0 +1,177 @@
 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
@@ -0,0 +1,7 @@
 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
@@ -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
@@ -0,0 +1,224 @@
 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
@@ -3,53 +3,55 @@ from snakes.TemplateSnake import TemplateSnake
 import random
 class DummSnake(TemplateSnake):
-    def choose_move(self, data: dict) -> str:
+  VERSION = "1.0.0"
        is_move_safe = {"up": True, "down": True, "left": True, "right": True}
-        # We've included code to prevent your Battlesnake from moving backwards
+  def choose_move(self, data: dict) -> str:
-        my_head = data["you"]["body"][0]  # Coordinates of your head
+    is_move_safe = {"up": True, "down": True, "left": True, "right": True}
        my_neck = data["you"]["body"][1]  # Coordinates of your "neck"
-        if my_neck["x"] < my_head["x"]:  # Neck is left of head, don't move left
+    # We've included code to prevent your Battlesnake from moving backwards
-            is_move_safe["left"] = False
+    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
+    if my_neck["x"] < my_head["x"]:  # Neck is left of head, don't move left
-            is_move_safe["right"] = False
+      is_move_safe["left"] = False
-        elif my_neck["y"] < my_head["y"]:  # Neck is below head, don't move down
+    elif my_neck["x"] > my_head["x"]:  # Neck is right of head, don't move right
-            is_move_safe["down"] = False
+      is_move_safe["right"] = False
-        elif my_neck["y"] > my_head["y"]:  # Neck is above head, don't move up
+    elif my_neck["y"] < my_head["y"]:  # Neck is below head, don't move down
-            is_move_safe["up"] = False
+      is_move_safe["down"] = False
-        # TODO: Step 1 - Prevent your Battlesnake from moving out of bounds
+    elif my_neck["y"] > my_head["y"]:  # Neck is above head, don't move up
-        # board_width = game_state['board']['width']
+      is_move_safe["up"] = False
        # board_height = game_state['board']['height']
-        # TODO: Step 2 - Prevent your Battlesnake from colliding with itself
+    # TODO: Step 1 - Prevent your Battlesnake from moving out of bounds
-        # my_body = game_state['you']['body']
+    # board_width = game_state['board']['width']
    # board_height = game_state['board']['height']
-        # TODO: Step 3 - Prevent your Battlesnake from colliding with other Battlesnakes
+    # TODO: Step 2 - Prevent your Battlesnake from colliding with itself
-        # opponents = game_state['board']['snakes']
+    # my_body = game_state['you']['body']
-        # Are there any safe moves left?
+    # TODO: Step 3 - Prevent your Battlesnake from colliding with other Battlesnakes
-        safe_moves = []
+    # opponents = game_state['board']['snakes']
        for move, isSafe in is_move_safe.items():
            if isSafe:
                safe_moves.append(move)
-        if len(safe_moves) == 0:
+    # Are there any safe moves left?
-            print(f"MOVE {data['turn']}: No safe moves detected! Moving down")
+    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})
+    for move, isSafe in is_move_safe.items():
-            return {"move": "down"}
+      if isSafe:
        safe_moves.append(move)
-        # Choose a random move from the safe ones
+    if len(safe_moves) == 0:
-        move = random.choice(safe_moves)
+      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
+    # Choose a random move from the safe ones
-        # food = game_state['board']['food']
+    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})
+    # TODO: Step 4 - Move towards food instead of random, to regain health and survive longer
-        print(f"{data['game']['id']} MOVE {data['turn']}: {move} picked from all valid options in {is_move_safe}")
+    # 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
@@ -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.
@@ -1,246 +1,249 @@
 from snakes.TemplateSnake import TemplateSnake
 class MasterSnake(TemplateSnake):
-    def __init__(self):
+  VERSION = "1.2.0"
        super().__init__()
        self.name = "MasterSnake"
        self.disabled_find_near_by_food = True
-    def is_food_nearby(self, head, food_positions):
+  def __init__(self):
-        for food in food_positions:
+    super().__init__()
-            if abs(head['x'] - food['x']) <= 1 and abs(head['y'] - food['y']) <= 1:
+    self.name = "MasterSnake"
-                return True
+    self.version = self.VERSION
-        return False
+    self.disabled_find_near_by_food = True
-    def avoid_snake_body(self, snakes, board_width, board_height):
+  def is_food_nearby(self, head, food_positions):
-        # Konvertiere die Körperpositionen der Schlangen in ein Set von Tupeln für schnellen Zugriff
+    for food in food_positions:
-        body_positions = set()
+      if abs(head['x'] - food['x']) <= 1 and abs(head['y'] - food['y']) <= 1:
-        for snake in snakes:
+        return True
-            for part in snake['body']:
+    return False
                body_positions.add((part['x'], part['y']))
-        # Implementiere die Logik, um Positionen zu finden, die nicht von Schlangenkörpern belegt sind
+  def avoid_snake_body(self, snakes, board_width, board_height):
-        safe_positions = self.find_safe_positions(body_positions, board_width, board_height)
+    # Konvertiere die Körperpositionen der Schlangen in ein Set von Tupeln für schnellen Zugriff
-        return safe_positions
+    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):
+    # Implementiere die Logik, um Positionen zu finden, die nicht von Schlangenkörpern belegt sind
-        # Finde sichere Positionen basierend auf den Körperpositionen und der Größe des Spielbretts
+    safe_positions = self.find_safe_positions(body_positions, board_width, board_height)
-        safe_positions = []
+    return 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):
+  def find_safe_positions(self, body_positions, board_width, board_height):
-        board_width = game_data['board']['width']
+    # Finde sichere Positionen basierend auf den Körperpositionen und der Größe des Spielbretts
-        board_height = game_data['board']['height']
+    safe_positions = []
-        snakes = game_data['board']['snakes']
+    for x in range(board_width):  # Nutze die tatsächliche Breite des Spielbretts
-        my_snake = game_data['you']
+      for y in range(board_height):  # Nutze die tatsächliche Höhe des Spielbretts
-        my_head = my_snake['head']
+        if (x, y) not in body_positions:
          safe_positions.append({'x': x, 'y': y})
    return safe_positions
-        # Vermeide Schlangenkörper
+  def choose_move(self, game_data):
-        safe_positions = self.avoid_snake_body(snakes, board_width, board_height)
+    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
+    # Vermeide Schlangenkörper
-        try:
+    safe_positions = self.avoid_snake_body(snakes, board_width, board_height)
            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})
-        # Finde den größten sicheren Bereich
+    # Finde die nächstgelegene Nahrungsquelle, wenn Nahrung vorhanden ist
-        max_area_start, max_area = self.flood_fill(my_head, safe_positions)
+    try:
-        # Wenn der Schwanz der Schlange im größten sicheren Bereich liegt, bewege dich in Richtung des Schwanzes
+      if self.is_food_nearby(my_head, game_data['board']['food']) or self.disabled_find_near_by_food:
-        my_tail = (my_snake['body'][-1]['x'], my_snake['body'][-1]['y'])  # Convert to tuple
+        path_to_food = self.find_path_to_food(game_data)
-        if my_tail in max_area:
+        if path_to_food:
-            move = self.move_towards(my_head, my_tail, safe_positions)
+          # Implementiere Logik, um in Richtung der Nahrungsquelle zu bewegen, falls sicher
-
+          move = self.move_towards(my_head, path_to_food[0], safe_positions)
-        # Überprüfe zukünftige Bewegungen, um Sackgassen zu vermeiden
+          self.add_to_history({"my_head": my_head, "path_to_food": path_to_food, "move": move})
-        move = self.avoid_dead_ends(my_head, move, safe_positions, snakes)
+        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):
+    # Überprüfe zukünftige Bewegungen, um Sackgassen zu vermeiden
-        directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
+    move = self.avoid_dead_ends(my_head, move, safe_positions, snakes)
-        best_direction = None
+    self.add_to_history({"my_head": my_head, "move": move})
        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():
+    return move
            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 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):
+    for direction, (dx, dy) in directions.items():
-        my_head = game_data['you']['head']
+      next_position = {'x': head['x'] + dx, 'y': head['y'] + dy}
-        food_positions = game_data['board']['food']
+      if next_position in safe_positions:
-        snakes = game_data['board']['snakes']
+        distance = abs(target[0] - next_position['x']) + abs(target[1] - next_position['y'])
-        board_width = game_data['board']['width']
+        distance_to_body = sum(abs(part[0] - next_position['x']) + abs(part[1] - next_position['y']) for part in body_positions)
-        board_height = game_data['board']['height']
+        if distance < min_distance or (distance == min_distance and distance_to_body < min_distance_to_body):
-        
+          best_direction = direction
-        # Exclude own snake's body from obstacles
+          min_distance = distance
-        own_snake_body = game_data['you']['body']
+          min_distance_to_body = distance_to_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 a_star_search(self, start, goal, obstacles, board_width, board_height):
+    return best_direction if best_direction else "up"  # Default to moving up if no safe direction found
        # 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):
+  def find_path_to_food(self, game_data):
-            x, y = position
+    my_head = game_data['you']['head']
-            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))]
+    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):
+  def a_star_search(self, start, goal, obstacles, board_width, board_height):
-            return abs(position[0] - goal[0]) + abs(position[1] - goal[1])
+    # 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
+    def get_neighbors(position):
-        start = (start['x'], start['y'])
+      x, y = position
-        goal = (goal['x'], goal['y'])
+      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
+    def heuristic(position, goal):
-        open_set = set([start])
+      return abs(position[0] - goal[0]) + abs(position[1] - goal[1])
        came_from = {}
        g_score = {start: 0}
        f_score = {start: heuristic(start, goal)}
-        while open_set:
+    # Initialize start and goal positions
-            current = min(open_set, key=lambda pos: f_score.get(pos, float('inf')))
+    start = (start['x'], start['y'])
-            if current == goal:
+    goal = (goal['x'], goal['y'])
                # 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)
+    # Initialize the open and closed list
-            for neighbor in get_neighbors(current):
+    open_set = set([start])
-                tentative_g_score = g_score[current] + 1  # Distance between neighbors is always 1
+    came_from = {}
-                if tentative_g_score < g_score.get(neighbor, float('inf')):
+    g_score = {start: 0}
-                    came_from[neighbor] = current
+    f_score = {start: heuristic(start, goal)}
                    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
+    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):
+      open_set.remove(current)
-        # Beispielhafte Logik zur Auswahl einer Bewegungsrichtung
+      for neighbor in get_neighbors(current):
-        directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
+        tentative_g_score = g_score[current] + 1  # Distance between neighbors is always 1
-        for direction, (dx, dy) in directions.items():
+        if tentative_g_score < g_score.get(neighbor, float('inf')):
-            next_position = {'x': head['x'] + dx, 'y': head['y'] + dy}
+          came_from[neighbor] = current
-            if next_position in safe_positions:
+          g_score[neighbor] = tentative_g_score
-                return direction
+          f_score[neighbor] = g_score[neighbor] + heuristic(neighbor, goal)
-        return "up"  # Standardbewegung, falls keine sichere Position gefunden wird
+          if neighbor not in open_set:
            open_set.add(neighbor)
-    def avoid_self_collision(self, future_head, body_positions):
+    return None  # Kein Pfad gefunden
        # Überprüft, ob die zukünftige Kopfposition im Körper der Schlange liegt
        return (future_head['x'], future_head['y']) not in body_positions
-    def avoid_dead_ends(self, head, move, safe_positions, snakes):
+  def find_direction(self, head, safe_positions):
-        directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
+    # Beispielhafte Logik zur Auswahl einer Bewegungsrichtung
-        dx, dy = directions[move]
+    directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
-        future_head = {'x': head['x'] + dx, 'y': head['y'] + dy}
+    for direction, (dx, dy) in directions.items():
-        body_positions = set((part['x'], part['y']) for part in snakes[0]['body'])
+      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):
+  def avoid_self_collision(self, future_head, body_positions):
-            for alternative_move in directions.keys():
+    # Überprüft, ob die zukünftige Kopfposition im Körper der Schlange liegt
-                dx, dy = directions[alternative_move]
+    return (future_head['x'], future_head['y']) not in body_positions
                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 simulate_snake_movement(self, snakes):
+  def avoid_dead_ends(self, head, move, safe_positions, snakes):
-        future_body_positions = set()
+    directions = {'up': (0, 1), 'down': (0, -1), 'left': (-1, 0), 'right': (1, 0)}
-        for snake in snakes:
+    dx, dy = directions[move]
-            # Beachte, dass dies nur ein Beispiel ist und angepasst werden muss, um deine spezifische Spiellogik zu berücksichtigen
+    future_head = {'x': head['x'] + dx, 'y': head['y'] + dy}
-            for part in snake['body'][:-1]:  # Ignoriere den letzten Teil des Körpers, da er sich bewegt
+    body_positions = set((part['x'], part['y']) for part in snakes[0]['body'])
                future_body_positions.add((part['x'], part['y']))
        return future_body_positions
-    def is_future_move_safe(self, future_head, safe_positions, snakes):
+    if not self.is_future_move_safe(future_head, safe_positions, snakes) or not self.avoid_self_collision(future_head, body_positions):
-        # Simuliere die Bewegung der Schlange und aktualisiere die Positionen des eigenen Körpers
+      for alternative_move in directions.keys():
-        future_body_positions = self.simulate_snake_movement(snakes)
+        dx, dy = directions[alternative_move]
-        # Konvertiere safe_positions in ein Set von Tupeln für den Flood Fill Algorithmus
+        alternative_future_head = {'x': head['x'] + dx, 'y': head['y'] + dy}
-        safe_positions_set = set((pos['x'], pos['y']) for pos in safe_positions)
+        if self.is_future_move_safe(alternative_future_head, safe_positions, snakes) and self.avoid_self_collision(alternative_future_head, body_positions):
-        # Entferne die zukünftigen Körperpositionen aus den sicheren Positionen
+          return alternative_move
-        safe_positions_set = safe_positions_set - future_body_positions
+    return move
        # 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
-        fill_bool = len(reachable_positions) > len(safe_positions_set) * 0.25
+  def simulate_snake_movement(self, snakes):
-        if fill_bool:
+    future_body_positions = set()
-            return fill_bool
+    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):
+    fill_bool = len(reachable_positions) > len(safe_positions_set) * 0.25
-        stack = [start]
+    if fill_bool:
-        visited = set()
+      return fill_bool
        max_area = 0
        max_area_start = None
-        while stack:
+    return len(safe_positions_set) >= len(snakes[0]['body'])
            position = stack.pop()
            if isinstance(position, dict):
                position = tuple(position.values())
            else:
                position = tuple(position)
-            if position not in visited:
+  def flood_fill(self, start, safe_positions):
-                visited.add(position)
+    stack = [start]
-                for dx, dy in [(-1, 0), (1, 0), (0, -1), (0, 1)]:  # links, rechts, oben, unten
+    visited = set()
-                    next_position = tuple([position[0] + dx, position[1] + dy])
+    max_area = 0
-                    if next_position in safe_positions:
+    max_area_start = None
                        stack.append(next_position)
-                # Überprüfe, ob der aktuelle Bereich größer ist als der bisher größte Bereich
+    while stack:
-                if len(visited) > max_area:
+      position = stack.pop()
-                    max_area = len(visited)
+      if isinstance(position, dict):
-                    max_area_start = position
+        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
@@ -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
@@ -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):
+  def add_calculations(self, calculations:dict):
-    pass
+    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
@@ -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
@@ -0,0 +1,34 @@
 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)
@@ -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
@@ -0,0 +1,109 @@
 #!/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()
@@ -0,0 +1,833 @@
 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()
@@ -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()
@@ -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()
@@ -0,0 +1,310 @@
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Author	SHA1	Message	Date
daniel156161	c6ebb5834b	auto remove stuck games Build and Push Docker Container / build-and-push (push) Successful in 51s Details	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 Details	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 Details	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 Details	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 Details	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 Details	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 Details	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 Details	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 Details	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 Details	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 Details - 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 Details	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 Details	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 Details	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
		`@@ -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`