From d72dfaecb647b4a7bf5162eea6b88dfa1e25963c Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 1 Dec 2025 22:30:46 +0000 Subject: [PATCH 1/2] Initial plan From 8010438d727df9b87bf56c251c1a8549ef8ef35d Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 1 Dec 2025 22:41:27 +0000 Subject: [PATCH 2/2] Merge main into branch and resolve conflicts, rename types.py MCP types to mcp_types.py Co-authored-by: Darktex <890615+Darktex@users.noreply.github.com> --- .github/workflows/docker-build.yml | 4 +- .github/workflows/publish-pypi-core.yml | 10 +- README.md | 2 +- docs/environments.md | 19 + docs/environments/snake.md | 2 + examples/snake_simple.py | 378 +++++++ src/core/env_server/__init__.py | 6 +- src/core/env_server/http_server.py | 3 +- src/core/env_server/mcp_environment.py | 3 +- src/core/env_server/mcp_types.py | 65 ++ src/core/env_server/types.py | 50 +- src/envs/coding_env/openenv.yaml | 4 +- src/envs/coding_env/pyproject.toml | 2 +- src/envs/echo_env/client.py | 14 +- src/envs/echo_env/models.py | 36 + src/envs/snake_env/README.md | 282 +++++ src/envs/snake_env/__init__.py | 12 + src/envs/snake_env/client.py | 115 ++ src/envs/snake_env/models.py | 74 ++ src/envs/snake_env/openenv.yaml | 6 + src/envs/snake_env/pyproject.toml | 41 + src/envs/snake_env/server/Dockerfile | 26 + src/envs/snake_env/server/Dockerfile.backup | 33 + src/envs/snake_env/server/__init__.py | 7 + src/envs/snake_env/server/app.py | 59 ++ src/envs/snake_env/server/requirements.txt | 5 + .../snake_env/server/snake_environment.py | 246 +++++ src/envs/snake_env/uv.lock | 981 ++++++++++++++++++ src/pyproject.toml | 61 ++ 29 files changed, 2473 insertions(+), 73 deletions(-) create mode 100644 docs/environments/snake.md create mode 100644 examples/snake_simple.py create mode 100644 src/core/env_server/mcp_types.py create mode 100644 src/envs/echo_env/models.py create mode 100644 src/envs/snake_env/README.md create mode 100644 src/envs/snake_env/__init__.py create mode 100644 src/envs/snake_env/client.py create mode 100644 src/envs/snake_env/models.py create mode 100644 src/envs/snake_env/openenv.yaml create mode 100644 src/envs/snake_env/pyproject.toml create mode 100644 src/envs/snake_env/server/Dockerfile create mode 100644 src/envs/snake_env/server/Dockerfile.backup create mode 100644 src/envs/snake_env/server/__init__.py create mode 100644 src/envs/snake_env/server/app.py create mode 100644 src/envs/snake_env/server/requirements.txt create mode 100644 src/envs/snake_env/server/snake_environment.py create mode 100644 src/envs/snake_env/uv.lock create mode 100644 src/pyproject.toml diff --git a/.github/workflows/docker-build.yml b/.github/workflows/docker-build.yml index 32452a1a..a826c961 100644 --- a/.github/workflows/docker-build.yml +++ b/.github/workflows/docker-build.yml @@ -85,6 +85,8 @@ jobs: dockerfile: src/envs/textarena_env/server/Dockerfile - name: browsergym-env dockerfile: src/envs/browsergym_env/server/Dockerfile + - name: snake-env + dockerfile: src/envs/snake_env/server/Dockerfile steps: - name: Checkout code @@ -109,7 +111,7 @@ jobs: type=raw,value=latest,enable={{is_default_branch}} type=sha - - name: Build and push environment image + - name: Build and push ${{ matrix.image.name }} uses: docker/build-push-action@v5 with: context: . diff --git a/.github/workflows/publish-pypi-core.yml b/.github/workflows/publish-pypi-core.yml index 4c1e8911..5ae7229f 100644 --- a/.github/workflows/publish-pypi-core.yml +++ b/.github/workflows/publish-pypi-core.yml @@ -35,17 +35,17 @@ jobs: - name: Build package run: | - cd src/core + cd src python -m build - name: Check package run: | - cd src/core + cd src twine check dist/* - name: List package contents run: | - cd src/core + cd src tar -tzf dist/*.tar.gz | head -20 - name: Publish to Test PyPI @@ -54,7 +54,7 @@ jobs: TWINE_USERNAME: __token__ TWINE_PASSWORD: ${{ secrets.TEST_PYPI_API_TOKEN }} run: | - cd src/core + cd src twine upload --repository testpypi dist/* - name: Publish to PyPI @@ -63,5 +63,5 @@ jobs: TWINE_USERNAME: __token__ TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }} run: | - cd src/core + cd src twine upload dist/* diff --git a/README.md b/README.md index 957013f3..c3882475 100644 --- a/README.md +++ b/README.md @@ -287,7 +287,7 @@ Executes arbitrary Python code in a sandboxed environment. Features: See: [`src/envs/coding_env/README.md`](src/envs/coding_env/README.md) -## Community Support & Acknowledgments +## Community Support & Acknowledgments This is an open and community-centric project. If you would like to add your name here, please put up a pull request and tag @jspisak for review. Ty!! Supporters include: Meta-PyTorch, Hugging Face, [Patronus AI](https://patronus.ai), [Surge AI](https://surgehq.ai), [LastMile AI](https://www.lastmileai.dev), Unsloth AI, Reflection AI, vLLM, SkyRL (UC-Berkeley), LightningAI, Axolotl AI, Stanford Scaling Intelligence Lab, Mithril, [OpenMined](https://openmined.org/), [Fleet AI](https://fleetai.com), [Halluminate](https://halluminate.ai/) .. diff --git a/docs/environments.md b/docs/environments.md index e02847c6..ab9b3624 100644 --- a/docs/environments.md +++ b/docs/environments.md @@ -181,6 +181,25 @@ The OpenEnv community has built a catalog of ready-to-run environments that cove +
+
+ Snake +

+ Classic snake game environment for RL research with configurable grids, partial observability, and customizable rewards. +

+
+
+ + + + + + +
+
+ > Want to publish your own environment? Head over to the [Build Your Own Environment](environment-builder.md) guide for a step-by-step walkthrough. diff --git a/docs/environments/snake.md b/docs/environments/snake.md new file mode 100644 index 00000000..4e76c09a --- /dev/null +++ b/docs/environments/snake.md @@ -0,0 +1,2 @@ +--8<-- "../../src/envs/snake_env/README.md" + diff --git a/examples/snake_simple.py b/examples/snake_simple.py new file mode 100644 index 00000000..057466e7 --- /dev/null +++ b/examples/snake_simple.py @@ -0,0 +1,378 @@ +#!/usr/bin/env python3 +""" +Interactive Snake Game Player. + +This script lets you play the snake game with keyboard controls +or run with an automated agent. + +Usage: + # Option 1: Use Docker + python examples/snake_rl/play_snake.py --mode docker --play-mode auto + + # Option 2: Use local server + # Terminal 1: cd src/envs/snake_env && uv run --project . server + # Terminal 2: python examples/snake_rl/play_snake.py --mode local --play-mode auto +""" + +import argparse +import sys +import time +from pathlib import Path + +import matplotlib.patches as mpatches + +import matplotlib.pyplot as plt +import numpy as np +from matplotlib.animation import FuncAnimation + +# Add src to path +sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src")) + +from envs.snake_env import SnakeAction, SnakeEnv + + +# Cell type constants (from marlenv.envs.snake_env.Cell) +CELL_EMPTY = 0 +CELL_WALL = 1 +CELL_FRUIT = 2 +CELL_HEAD = 3 # Snake head +CELL_BODY = 4 # Snake body segments +CELL_TAIL = 5 # Snake tail + + +class SnakeGamePlayer: + """Interactive snake game player with visualization.""" + + def __init__(self, client): + """Initialize the game player.""" + self.client = client + self.result = None + self.running = True + self.paused = False + self.current_action = 0 # Default: no-op + + # For automated play + self.auto_play = False + self.play_speed = 200 # milliseconds between moves + + # Statistics + self.episode_count = 0 + self.best_score = 0 + self.best_fruits = 0 + + def reset_game(self): + """Reset the game to initial state.""" + self.result = self.client.reset() + self.episode_count += 1 + print(f"\n=== Episode {self.episode_count} Started ===") + return self.result + + def step_game(self, action): + """Take a step in the game.""" + self.result = self.client.step(SnakeAction(action=action)) + + # Update best scores + if self.result.observation.episode_score > self.best_score: + self.best_score = self.result.observation.episode_score + if self.result.observation.episode_fruits > self.best_fruits: + self.best_fruits = self.result.observation.episode_fruits + + # Print events + if self.result.reward > 0: + print( + f" šŸŽ Fruit collected! Score: {self.result.observation.episode_score:.2f}" + ) + elif self.result.done: + print( + f" ā˜ ļø Game Over! Final score: {self.result.observation.episode_score:.2f}" + ) + print( + f" Steps: {self.result.observation.episode_steps}, " + f"Fruits: {self.result.observation.episode_fruits}" + ) + + return self.result + + def create_grid_colors(self, grid): + """Convert grid to colored array for visualization.""" + grid_array = np.array(grid) + height, width = grid_array.shape + colored_grid = np.zeros((height, width, 3)) + + for i in range(height): + for j in range(width): + cell = grid_array[i, j] + cell_type = cell % 10 + + if cell_type == CELL_EMPTY: + colored_grid[i, j] = [0.95, 0.95, 0.95] # Light gray + elif cell_type == CELL_WALL: + colored_grid[i, j] = [0.2, 0.2, 0.2] # Dark gray + elif cell_type == CELL_FRUIT: + colored_grid[i, j] = [1.0, 0.0, 0.0] # Red + elif cell_type == CELL_BODY: + colored_grid[i, j] = [0.0, 0.8, 0.0] # Green + elif cell_type == CELL_HEAD: + colored_grid[i, j] = [0.0, 1.0, 0.0] # Bright green + elif cell_type == CELL_TAIL: + colored_grid[i, j] = [0.0, 0.6, 0.0] # Dark green + + return colored_grid + + def play_automated(self, max_steps=500, policy="random"): + """ + Play the game with an automated agent. + + Args: + max_steps: Maximum steps per episode + policy: 'random' or 'simple' (simple tries to move towards fruit) + """ + print("\n" + "=" * 70) + print(f" Automated Play - Policy: {policy}") + print("=" * 70) + + self.reset_game() + steps = 0 + + # Setup visualization + fig, (ax_game, ax_stats) = plt.subplots(1, 2, figsize=(16, 8)) + plt.ion() # Interactive mode + + rewards_history = [] + scores_history = [] + + while not self.result.done and steps < max_steps: + # Choose action based on policy + if policy == "random": + import random + + action = random.randint(0, 2) + elif policy == "simple": + # Simple heuristic: try to stay alive + action = 0 # Usually go straight + if steps % 20 == 0: # Occasional turns + import random + + action = random.randint(0, 2) + else: + action = 0 + + # Take step + self.step_game(action) + steps += 1 + + # Update histories + rewards_history.append(self.result.reward) + scores_history.append(self.result.observation.episode_score) + + # Update visualization every few steps + if steps % 5 == 0: + # Clear axes + ax_game.clear() + ax_stats.clear() + + # Game grid + colored_grid = self.create_grid_colors(self.result.observation.grid) + ax_game.imshow(colored_grid, interpolation="nearest") + status = "šŸŸ¢ ALIVE" if self.result.observation.alive else "šŸ”“ DEAD" + ax_game.set_title( + f"Snake Game - {status}\n" + f"Step: {steps}, Score: {self.result.observation.episode_score:.1f}, " + f"Fruits: {self.result.observation.episode_fruits}", + fontsize=12, + fontweight="bold", + ) + + # Stats + ax_stats.plot(scores_history, "g-", linewidth=2, label="Score") + ax_stats.set_title("Score Over Time") + ax_stats.set_xlabel("Step") + ax_stats.set_ylabel("Cumulative Score") + ax_stats.grid(True, alpha=0.3) + ax_stats.legend() + + plt.pause(0.01) + + plt.ioff() + plt.show() + + print(f"\n Episode finished:") + print(f" Steps: {self.result.observation.episode_steps}") + print(f" Score: {self.result.observation.episode_score:.2f}") + print(f" Fruits: {self.result.observation.episode_fruits}") + + def play_multiple_episodes(self, num_episodes=5, max_steps_per_episode=200): + """Play multiple episodes and show statistics.""" + print("\n" + "=" * 70) + print(f" Playing {num_episodes} Episodes") + print("=" * 70) + + all_scores = [] + all_fruits = [] + all_steps = [] + + for ep in range(num_episodes): + self.reset_game() + steps = 0 + + while not self.result.done and steps < max_steps_per_episode: + import random + + action = random.randint(0, 2) + self.step_game(action) + steps += 1 + + all_scores.append(self.result.observation.episode_score) + all_fruits.append(self.result.observation.episode_fruits) + all_steps.append(self.result.observation.episode_steps) + + print( + f" Episode {ep + 1}/{num_episodes}: " + f"Steps={steps}, Score={self.result.observation.episode_score:.2f}, " + f"Fruits={self.result.observation.episode_fruits}" + ) + + # Show statistics + print("\n" + "=" * 70) + print(" Statistics Across All Episodes") + print("=" * 70) + print(f" Average Score: {np.mean(all_scores):.2f} Ā± {np.std(all_scores):.2f}") + print(f" Best Score: {np.max(all_scores):.2f}") + print(f" Average Fruits: {np.mean(all_fruits):.1f} Ā± {np.std(all_fruits):.1f}") + print(f" Best Fruits: {np.max(all_fruits)}") + print(f" Average Steps: {np.mean(all_steps):.1f} Ā± {np.std(all_steps):.1f}") + + # Visualize statistics + fig, axes = plt.subplots(1, 3, figsize=(15, 5)) + + axes[0].bar(range(1, num_episodes + 1), all_scores, color="green", alpha=0.7) + axes[0].set_title("Scores per Episode") + axes[0].set_xlabel("Episode") + axes[0].set_ylabel("Score") + axes[0].grid(True, alpha=0.3) + + axes[1].bar(range(1, num_episodes + 1), all_fruits, color="red", alpha=0.7) + axes[1].set_title("Fruits Collected per Episode") + axes[1].set_xlabel("Episode") + axes[1].set_ylabel("Fruits") + axes[1].grid(True, alpha=0.3) + + axes[2].bar(range(1, num_episodes + 1), all_steps, color="blue", alpha=0.7) + axes[2].set_title("Steps per Episode") + axes[2].set_xlabel("Episode") + axes[2].set_ylabel("Steps") + axes[2].grid(True, alpha=0.3) + + plt.tight_layout() + plt.show() + + +def main(): + """Main function.""" + print("=" * 70) + print(" Snake Game - Interactive Player") + print("=" * 70) + + parser = argparse.ArgumentParser( + description="Play the snake game", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Examples: + # Docker mode - automated play + python examples/snake_rl/play_snake.py --mode docker --play-mode auto + + # Local server mode - multiple episodes + python examples/snake_rl/play_snake.py --mode local --play-mode multi --episodes 10 + """, + ) + + # Connection mode + parser.add_argument( + "--mode", + type=str, + choices=["docker", "local"], + default="docker", + help="Connection mode: docker or local", + ) + parser.add_argument( + "--url", + type=str, + default="http://localhost:8000", + help="Server URL for local mode", + ) + + # Play mode + parser.add_argument( + "--play-mode", + type=str, + default="auto", + choices=["auto", "multi"], + help="Play mode: auto (single episode) or multi (multiple episodes)", + ) + parser.add_argument( + "--policy", + type=str, + default="random", + choices=["random", "simple"], + help="Agent policy for automated play", + ) + parser.add_argument( + "--episodes", type=int, default=5, help="Number of episodes for multi mode" + ) + parser.add_argument( + "--steps", type=int, default=500, help="Maximum steps per episode" + ) + + args = parser.parse_args() + + if args.mode == "docker": + print("\nšŸ“¦ Mode: Docker") + print(" Running containerized environment...") + else: + print(f"\nšŸ–„ļø Mode: Local Server ({args.url})") + + try: + if args.mode == "docker": + print("\nStarting Docker container...") + client = SnakeEnv.from_docker_image("snake-env:latest") + print("āœ“ Container started successfully!\n") + else: + print(f"\nConnecting to {args.url}...") + client = SnakeEnv(base_url=args.url) + client.reset() # Test connection + print("āœ“ Connected successfully!\n") + + player = SnakeGamePlayer(client) + + if args.play_mode == "auto": + player.play_automated(max_steps=args.steps, policy=args.policy) + elif args.play_mode == "multi": + player.play_multiple_episodes( + num_episodes=args.episodes, max_steps_per_episode=args.steps + ) + + print("\n" + "=" * 70) + print(" Game Session Complete!") + print("=" * 70) + + # Cleanup + print("\nCleaning up...") + if args.mode == "docker": + client.close() + print("āœ“ Container stopped and removed") + else: + print("āœ“ Disconnected from server") + + return True + + except Exception as e: + print(f"\nāŒ Game failed: {e}") + import traceback + + traceback.print_exc() + return False + + +if __name__ == "__main__": + success = main() + exit(0 if success else 1) diff --git a/src/core/env_server/__init__.py b/src/core/env_server/__init__.py index a08e26c5..dc7bdd1c 100644 --- a/src/core/env_server/__init__.py +++ b/src/core/env_server/__init__.py @@ -10,15 +10,13 @@ from .http_server import HTTPEnvServer, create_app, create_fastapi_app from .interfaces import Environment, Message, ModelTokenizer, Transform from .mcp_environment import MCPEnvironment -from .types import ( - Action, +from .mcp_types import ( CallToolAction, CallToolObservation, ListToolsAction, ListToolsObservation, - Observation, - State, ) +from .types import Action, Observation, State from .web_interface import create_web_interface_app, WebInterfaceManager __all__ = [ diff --git a/src/core/env_server/http_server.py b/src/core/env_server/http_server.py index 15748394..e6bb95d0 100644 --- a/src/core/env_server/http_server.py +++ b/src/core/env_server/http_server.py @@ -23,7 +23,8 @@ from .interfaces import Environment from .mcp_environment import MCPEnvironment -from .types import Action, CallToolAction, ListToolsAction, Observation +from .mcp_types import CallToolAction, ListToolsAction +from .types import Action, Observation class HTTPEnvServer: diff --git a/src/core/env_server/mcp_environment.py b/src/core/env_server/mcp_environment.py index d0064d0d..1ed631c5 100644 --- a/src/core/env_server/mcp_environment.py +++ b/src/core/env_server/mcp_environment.py @@ -17,7 +17,8 @@ from typing import Any from .interfaces import Environment -from .types import Action, CallToolAction, ListToolsAction, Observation, State +from .mcp_types import CallToolAction, CallToolObservation, ListToolsAction, ListToolsObservation +from .types import Action, Observation, State class MCPEnvironment(Environment): diff --git a/src/core/env_server/mcp_types.py b/src/core/env_server/mcp_types.py new file mode 100644 index 00000000..5a4f5390 --- /dev/null +++ b/src/core/env_server/mcp_types.py @@ -0,0 +1,65 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""MCP-specific action and observation types. + +This module defines types specific to MCP (Model Context Protocol) integration. +Separated from types.py per pankit's suggestion to avoid conflicts with +Python's built-in types module. +""" + +from dataclasses import dataclass, field +from typing import Any, Dict, List, Optional + +from .types import Action, Observation + + +@dataclass(kw_only=True) +class ListToolsAction(Action): + """ + Action to request available tools from MCP servers. + + This action triggers a tools/list call to all configured MCP servers, + returning their tool schemas in the observation. + """ + + pass + + +@dataclass(kw_only=True) +class CallToolAction(Action): + """ + Action to call a specific tool via MCP. + + Triggers a tools/call request to the appropriate MCP server. + """ + + tool_name: str + parameters: Dict[str, Any] = field(default_factory=dict) + + +@dataclass(kw_only=True) +class ListToolsObservation(Observation): + """ + Observation returned from ListToolsAction. + + Contains the list of available tools with their schemas. + """ + + tools: List[Dict[str, Any]] = field(default_factory=list) + + +@dataclass(kw_only=True) +class CallToolObservation(Observation): + """ + Observation returned from CallToolAction. + + Contains the result of calling a tool, or an error if the call failed. + """ + + result: Optional[Any] = None + error: Optional[str] = None + tool_name: Optional[str] = None diff --git a/src/core/env_server/types.py b/src/core/env_server/types.py index 7f58973e..017b3480 100644 --- a/src/core/env_server/types.py +++ b/src/core/env_server/types.py @@ -5,7 +5,7 @@ # LICENSE file in the root directory of this source tree. from dataclasses import dataclass, field -from typing import Any, Dict, List, Optional, Union +from typing import Any, Dict, Optional, Union # Type aliases @@ -19,30 +19,6 @@ class Action: metadata: Dict[str, Any] = field(default_factory=dict) -@dataclass(kw_only=True) -class ListToolsAction(Action): - """ - Action to request available tools from MCP servers. - - This action triggers a tools/list call to all configured MCP servers, - returning their tool schemas in the observation. - """ - - pass - - -@dataclass(kw_only=True) -class CallToolAction(Action): - """ - Action to call a specific tool via MCP. - - Triggers a tools/call request to the appropriate MCP server. - """ - - tool_name: str - parameters: Dict[str, Any] = field(default_factory=dict) - - @dataclass(kw_only=True) class Observation: """Base class for all environment observations.""" @@ -52,30 +28,6 @@ class Observation: metadata: Dict[str, Any] = field(default_factory=dict) -@dataclass(kw_only=True) -class ListToolsObservation(Observation): - """ - Observation returned from ListToolsAction. - - Contains the list of available tools with their schemas. - """ - - tools: List[Dict[str, Any]] = field(default_factory=list) - - -@dataclass(kw_only=True) -class CallToolObservation(Observation): - """ - Observation returned from CallToolAction. - - Contains the result of calling a tool, or an error if the call failed. - """ - - result: Optional[Any] = None - error: Optional[str] = None - tool_name: Optional[str] = None - - @dataclass class State: """Base class for environment state.""" diff --git a/src/envs/coding_env/openenv.yaml b/src/envs/coding_env/openenv.yaml index ba42db55..b5e919b3 100644 --- a/src/envs/coding_env/openenv.yaml +++ b/src/envs/coding_env/openenv.yaml @@ -1,5 +1,5 @@ name: coding_env version: "0.1.0" description: "Coding environment for OpenEnv" -action: CodingAction -observation: CodingObservation +action: CodeAction +observation: CodeObservation diff --git a/src/envs/coding_env/pyproject.toml b/src/envs/coding_env/pyproject.toml index f6ff45aa..06b70f2b 100644 --- a/src/envs/coding_env/pyproject.toml +++ b/src/envs/coding_env/pyproject.toml @@ -11,7 +11,7 @@ dependencies = [ "openenv-core>=0.1.0", "fastapi>=0.115.0", "pydantic>=2.0.0", - "uvicorn>=0.24.0", + "uvicorn[standard]>=0.24.0", "requests>=2.31.0", "smolagents>=1.22.0,<2", ] diff --git a/src/envs/echo_env/client.py b/src/envs/echo_env/client.py index e49e2185..df48fa56 100644 --- a/src/envs/echo_env/client.py +++ b/src/envs/echo_env/client.py @@ -15,23 +15,21 @@ try: from core.client_types import StepResult - from core.env_server.types import ( + from core.env_server.mcp_types import ( CallToolAction, CallToolObservation, ListToolsObservation, - Observation, - State, ) + from core.env_server.types import Observation, State from core.http_env_client import HTTPEnvClient except ImportError: from openenv_core.client_types import StepResult - from openenv_core.env_server.types import ( + from openenv_core.env_server.mcp_types import ( CallToolAction, CallToolObservation, ListToolsObservation, - Observation, - State, ) + from openenv_core.env_server.types import Observation, State from openenv_core.http_env_client import HTTPEnvClient @@ -43,7 +41,7 @@ class EchoEnv(HTTPEnvClient[CallToolAction, Observation]): methods to interact with it using MCP actions. Example: - >>> from core.env_server.types import CallToolAction + >>> from core.env_server.mcp_types import CallToolAction >>> # Connect to a running server >>> client = EchoEnv(base_url="http://localhost:8000") >>> result = client.reset() @@ -54,7 +52,7 @@ class EchoEnv(HTTPEnvClient[CallToolAction, Observation]): >>> print(result.observation.result) # {"echoed_message": "Hello!"} Example with Docker: - >>> from core.env_server.types import CallToolAction + >>> from core.env_server.mcp_types import CallToolAction >>> # Automatically start container and connect >>> client = EchoEnv.from_docker_image("echo-env:latest") >>> result = client.reset() diff --git a/src/envs/echo_env/models.py b/src/envs/echo_env/models.py new file mode 100644 index 00000000..c962629b --- /dev/null +++ b/src/envs/echo_env/models.py @@ -0,0 +1,36 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Data models for the Echo Environment. + +The Echo environment is a simple test environment that echoes back messages. +""" + +from dataclasses import dataclass + +# Support both in-repo and standalone imports +try: + # In-repo imports (when running from OpenEnv repository) + from core.env_server.types import Action, Observation +except ImportError: + # Standalone imports (when environment is standalone with openenv-core from pip) + from openenv_core.env_server.types import Action, Observation + + +@dataclass(kw_only=True) +class EchoAction(Action): + """Action for the Echo environment - just a message to echo.""" + + message: str + + +@dataclass(kw_only=True) +class EchoObservation(Observation): + """Observation from the Echo environment - the echoed message.""" + + echoed_message: str + message_length: int = 0 \ No newline at end of file diff --git a/src/envs/snake_env/README.md b/src/envs/snake_env/README.md new file mode 100644 index 00000000..681c7b06 --- /dev/null +++ b/src/envs/snake_env/README.md @@ -0,0 +1,282 @@ +--- +title: Snake Environment Server +emoji: šŸ‰ +colorFrom: 'blue' +colorTo: 'green' +sdk: docker +pinned: false +app_port: 8000 +base_path: /web +tags: + - openenv +--- + +# Snake Environment + +A multi-agent snake game environment for OpenEnv, based on [marlenv](https://github.com/kc-ml2/marlenv)'s Snake-v1. This environment provides a single-agent interface to the classic snake game where the snake must navigate a grid, eat fruits, and avoid walls and its own body. + +## Overview + +The Snake environment wraps the marlenv Snake-v1 environment to provide a clean OpenEnv-compatible interface. Multiple snakes can battle on a fixed size grid map, but this implementation focuses on single-agent gameplay. + +### Features + +- **Grid-based gameplay**: Configurable grid size (default: 20x20) +- **Fruit collection**: Snake grows when eating fruits +- **Partial observability**: Optional vision range for limited field of view +- **Customizable rewards**: Configurable reward function for different game aspects +- **Two control modes**: + - `snake`: Relative actions (turn left/right) + - `human`: Global directions (up/down/left/right) + +### Game Rules + +- Snake dies when its head hits a wall or its own body +- Snake grows by one unit when it eats a fruit +- Episode ends when the snake dies or reaches maximum steps +- Rewards can be customized for: eating fruits, survival time, and death penalty + +## Quick Start + +### Using Docker (Recommended) + +```python +from envs.snake_env import SnakeAction, SnakeEnv + +# Start environment from Docker image +client = SnakeEnv.from_docker_image("snake-env:latest") + +# Reset to start new episode +result = client.reset() +print(f"Snake alive: {result.observation.alive}") +print(f"Grid shape: {len(result.observation.grid)}x{len(result.observation.grid[0])}") + +# Take actions +result = client.step(SnakeAction(action=0)) # Continue straight +print(f"Reward: {result.reward}") +print(f"Score: {result.observation.episode_score}") + +result = client.step(SnakeAction(action=1)) # Turn left +result = client.step(SnakeAction(action=2)) # Turn right + +# Check game state +state = client.state() +print(f"Episode: {state.episode_id}") +print(f"Steps: {state.step_count}") + +# Cleanup +client.close() +``` + +### Using Local Server + +```bash +# Install dependencies +cd src/envs/snake_env +pip install -e . + +# Run server +uv run --project . server +``` + +Then connect from another terminal: + +```python +from envs.snake_env import SnakeAction, SnakeEnv + +# Connect to running server +client = SnakeEnv(base_url="http://localhost:8000") +result = client.reset() +result = client.step(SnakeAction(action=0)) +``` + +## Actions + +The action space depends on the `observer` mode: + +### Snake Mode (Default) +Relative actions based on current direction: +- `0`: No-op (continue in same direction) +- `1`: Turn left (90 degrees counterclockwise) +- `2`: Turn right (90 degrees clockwise) + +### Human Mode +Global directional actions: +- `0`: No-op +- `1`: Move left +- `2`: Move right +- `3`: Move down +- `4`: Move up + +## Observations + +Each observation includes: + +- `grid`: The full game grid as a 2D array (height Ɨ width) +- `observation`: Encoded observation based on vision range +- `episode_score`: Cumulative score in current episode +- `episode_steps`: Number of steps taken +- `episode_fruits`: Number of fruits eaten +- `episode_kills`: Number of kills (always 0 in single-agent mode) +- `alive`: Whether the snake is still alive + +## Configuration + +### Environment Parameters + +```python +from envs.snake_env.server.snake_environment import SnakeEnvironment + +env = SnakeEnvironment( + height=20, # Grid height (default: 20) + width=20, # Grid width (default: 20) + snake_length=3, # Initial snake length (default: 3) + vision_range=5, # Partial observability (None for full grid) + observer='snake', # 'snake' or 'human' mode + max_episode_steps=1000, # Maximum steps per episode + reward_dict={ # Custom reward function + 'fruit': 1.0, # Reward for eating fruit + 'kill': 0.0, # Reward for kills (multi-agent) + 'lose': -1.0, # Penalty for death + 'win': 0.0, # Reward for winning (multi-agent) + 'time': 0.0, # Reward per timestep + } +) +``` + +### Custom Rewards + +You can customize the reward function to encourage different behaviors: + +```python +# Encourage survival +reward_dict = { + 'fruit': 1.0, + 'lose': -10.0, + 'time': 0.01, # Small reward for staying alive +} + +# Fast fruit collection +reward_dict = { + 'fruit': 10.0, + 'lose': -1.0, + 'time': -0.01, # Penalty for taking too long +} +``` + +## Building and Deployment + +### Build Docker Image + +From the repository root: + +```bash +# Build base image first (if not already built) +docker build -t openenv-base:latest -f src/core/containers/images/Dockerfile . + +# Build snake environment image +docker build -t snake-env:latest -f src/envs/snake_env/server/Dockerfile . +``` + +The Dockerfile uses `pip install` with `requirements.txt` for maximum compatibility. + +### Run Docker Container + +```bash +# Run the container +docker run -p 8000:8000 snake-env:latest + +# Or with environment variables +docker run -p 8000:8000 \ + -e ENABLE_WEB_INTERFACE=true \ + snake-env:latest +``` + +### Web Interface + +When `ENABLE_WEB_INTERFACE=true` is set, you can access the web interface at `http://localhost:8000/web` to interact with the environment through your browser. + +## Dependencies + +The snake environment requires: + +- `marlenv`: Multi-agent snake game implementation +- `gym==0.24.1`: OpenAI Gym (required by marlenv) +- `numpy`: Numerical operations +- Standard OpenEnv dependencies (fastapi, pydantic, uvicorn) + +These are automatically installed when using Docker or installing via pip. + +## Example Training Loop + +```python +from envs.snake_env import SnakeAction, SnakeEnv +import random + +# Connect to environment +env = SnakeEnv.from_docker_image("snake-env:latest") + +# Training loop +for episode in range(10): + result = env.reset() + total_reward = 0 + done = False + + while not done: + # Simple random policy (replace with your agent) + action = SnakeAction(action=random.randint(0, 2)) + result = env.step(action) + + total_reward += result.reward + done = result.done + + print(f"Episode {episode}: Reward={total_reward}, " + f"Fruits={result.observation.episode_fruits}, " + f"Steps={result.observation.episode_steps}") + +env.close() +``` + +## Troubleshooting + +### marlenv Installation Issues + +If you encounter issues installing marlenv, you can install it from source: + +```bash +pip install git+https://github.com/kc-ml2/marlenv.git +``` + +### Import Errors + +Make sure you're in the correct directory when running the server: + +```bash +cd src/envs/snake_env +uv run --project . server +``` + +### Docker Build Issues + +Ensure the base image is built first: + +```bash +docker build -t openenv-base:latest -f src/core/containers/images/Dockerfile . +``` + +## Citation + +The underlying snake game is from marlenv: + +```bibtex +@MISC{marlenv2021, + author = {ML2}, + title = {Marlenv, Multi-agent Reinforcement Learning Environment}, + howpublished = {\url{http://github.com/kc-ml2/marlenv}}, + year = {2021} +} +``` + +## License + +BSD 3-Clause License - See LICENSE file in the root directory. diff --git a/src/envs/snake_env/__init__.py b/src/envs/snake_env/__init__.py new file mode 100644 index 00000000..b1e97aa5 --- /dev/null +++ b/src/envs/snake_env/__init__.py @@ -0,0 +1,12 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Snake Environment - A multi-agent snake game environment based on marlenv.""" + +from .client import SnakeEnv +from .models import SnakeAction, SnakeObservation + +__all__ = ["SnakeAction", "SnakeObservation", "SnakeEnv"] diff --git a/src/envs/snake_env/client.py b/src/envs/snake_env/client.py new file mode 100644 index 00000000..a6bbcf16 --- /dev/null +++ b/src/envs/snake_env/client.py @@ -0,0 +1,115 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Snake Environment HTTP Client. + +This module provides the client for connecting to a Snake Environment server +over HTTP. +""" + +from typing import Any, Dict + +# Support both in-repo and standalone imports +try: + # In-repo imports (when running from OpenEnv repository) + from core.client_types import StepResult + from core.env_server.types import State + from core.http_env_client import HTTPEnvClient + + from .models import SnakeAction, SnakeObservation +except ImportError: + from models import SnakeAction, SnakeObservation + + # Standalone imports (when environment is standalone with openenv-core from pip) + from openenv_core.client_types import StepResult + from openenv_core.env_server.types import State + from openenv_core.http_env_client import HTTPEnvClient + + +class SnakeEnv(HTTPEnvClient[SnakeAction, SnakeObservation]): + """ + HTTP client for the Snake Environment. + + This client connects to a SnakeEnvironment HTTP server and provides + methods to interact with it: reset(), step(), and state access. + + Example: + >>> # Connect to a running server + >>> client = SnakeEnv(base_url="http://localhost:8000") + >>> result = client.reset() + >>> print(result.observation.alive) # True + >>> + >>> # Take an action (turn left) + >>> result = client.step(SnakeAction(action=1)) + >>> print(result.observation.episode_score) + >>> print(result.reward) + + Example with Docker: + >>> # Automatically start container and connect + >>> client = SnakeEnv.from_docker_image("snake-env:latest") + >>> result = client.reset() + >>> result = client.step(SnakeAction(action=0)) # noop + """ + + def _step_payload(self, action: SnakeAction) -> Dict: + """ + Convert SnakeAction to JSON payload for step request. + + Args: + action: SnakeAction instance + + Returns: + Dictionary representation suitable for JSON encoding + """ + return { + "action": action.action, + } + + def _parse_result(self, payload: Dict) -> StepResult[SnakeObservation]: + """ + Parse server response into StepResult[SnakeObservation]. + + Args: + payload: JSON response from server + + Returns: + StepResult with SnakeObservation + """ + obs_data = payload.get("observation", {}) + observation = SnakeObservation( + grid=obs_data.get("grid", []), + observation=obs_data.get("observation", []), + episode_score=obs_data.get("episode_score", 0.0), + episode_steps=obs_data.get("episode_steps", 0), + episode_fruits=obs_data.get("episode_fruits", 0), + episode_kills=obs_data.get("episode_kills", 0), + alive=obs_data.get("alive", True), + done=payload.get("done", False), + reward=payload.get("reward"), + metadata=obs_data.get("metadata", {}), + ) + + return StepResult( + observation=observation, + reward=payload.get("reward"), + done=payload.get("done", False), + ) + + def _parse_state(self, payload: Dict) -> State: + """ + Parse server response into State object. + + Args: + payload: JSON response from /state endpoint + + Returns: + State object with episode_id and step_count + """ + return State( + episode_id=payload.get("episode_id"), + step_count=payload.get("step_count", 0), + ) diff --git a/src/envs/snake_env/models.py b/src/envs/snake_env/models.py new file mode 100644 index 00000000..0f827abd --- /dev/null +++ b/src/envs/snake_env/models.py @@ -0,0 +1,74 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Data models for the Snake Environment. + +The Snake environment is a multi-agent reinforcement learning environment +based on marlenv's Snake-v1. Multiple snakes battle on a fixed size grid map. +""" + +from dataclasses import dataclass +from typing import Any, Dict, List, Optional + +# Support both in-repo and standalone imports +try: + # In-repo imports (when running from OpenEnv repository) + from core.env_server.types import Action, Observation +except ImportError: + # Standalone imports (when environment is standalone with openenv-core from pip) + from openenv_core.env_server.types import Action, Observation + + +@dataclass(kw_only=True) +class SnakeAction(Action): + """ + Action for the Snake environment. + + For single snake (observer='snake'): + action: int in [0, 1, 2] + 0 = noop (continue in same direction) + 1 = turn left (90 degrees) + 2 = turn right (90 degrees) + + For single snake (observer='human'): + action: int in [0, 1, 2, 3, 4] + 0 = noop + 1 = left + 2 = right + 3 = down + 4 = up + """ + + action: int + + def __post_init__(self): + """Ensure action is converted to int (handles string inputs from web interface).""" + self.action = int(self.action) + + +@dataclass(kw_only=True) +class SnakeObservation(Observation): + """ + Observation from the Snake environment. + + Attributes: + grid: The current game grid as a nested list (height x width) + observation: The encoded observation for the snake (can be full grid or vision range) + episode_score: Total score accumulated in this episode + episode_steps: Number of steps taken in this episode + episode_fruits: Number of fruits eaten in this episode + episode_kills: Number of kills in this episode + alive: Whether the snake is still alive + """ + + grid: List[List[int]] + observation: List[List[List[float]]] # H x W x C observation + episode_score: float = 0.0 + episode_steps: int = 0 + episode_fruits: int = 0 + episode_kills: int = 0 + alive: bool = True diff --git a/src/envs/snake_env/openenv.yaml b/src/envs/snake_env/openenv.yaml new file mode 100644 index 00000000..958c3d36 --- /dev/null +++ b/src/envs/snake_env/openenv.yaml @@ -0,0 +1,6 @@ +spec_version: 1 +name: snake_env +type: space +runtime: fastapi +app: server.app:app +port: 8000 diff --git a/src/envs/snake_env/pyproject.toml b/src/envs/snake_env/pyproject.toml new file mode 100644 index 00000000..fd10eeb1 --- /dev/null +++ b/src/envs/snake_env/pyproject.toml @@ -0,0 +1,41 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +[build-system] +requires = ["setuptools>=45", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "openenv-snake-env" +version = "0.1.0" +description = "Snake Environment for OpenEnv - multi-agent snake game based on marlenv" +requires-python = ">=3.10" +dependencies = [ + # Core OpenEnv dependencies (required for server functionality) + "openenv-core>=0.1.0", + "fastapi>=0.115.0", + "pydantic>=2.0.0", + "uvicorn[standard]>=0.24.0", + "requests>=2.31.0", + # Snake environment specific dependencies + "marlenv>=1.0.0", # Multi-agent snake game environment + "gym==0.24.1", # Required by marlenv + "numpy>=1.24.0", + "Pillow>=10.0.0", # Required by marlenv for image rendering +] + +[project.optional-dependencies] +dev = [ + "pytest>=8.0.0", + "pytest-cov>=4.0.0", +] + +[project.scripts] +server = "snake_env.server.app:main" + +[tool.setuptools] +packages = ["snake_env", "snake_env.server"] +package-dir = { "snake_env" = ".", "snake_env.server" = "server" } diff --git a/src/envs/snake_env/server/Dockerfile b/src/envs/snake_env/server/Dockerfile new file mode 100644 index 00000000..e36f0888 --- /dev/null +++ b/src/envs/snake_env/server/Dockerfile @@ -0,0 +1,26 @@ +# Base image +FROM python:3.11-slim + +# Set working directory +WORKDIR /app/env + +# Install system dependencies (if needed) +RUN apt-get update && apt-get install -y \ + git \ + && rm -rf /var/lib/apt/lists/* + +# Copy environment files +COPY . . + +# Install Python dependencies +RUN pip install --no-cache-dir -e . + +# Expose port +EXPOSE 8000 + +# Set environment variables +ENV PYTHONUNBUFFERED=1 +ENV ENABLE_WEB_INTERFACE=true + +# Run the server +CMD ["python", "-m", "uvicorn", "snake_env.server.app:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/src/envs/snake_env/server/Dockerfile.backup b/src/envs/snake_env/server/Dockerfile.backup new file mode 100644 index 00000000..ba8334ed --- /dev/null +++ b/src/envs/snake_env/server/Dockerfile.backup @@ -0,0 +1,33 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +# Use the standard openenv base image +# Built from: docker build -t openenv-base:latest -f src/core/containers/images/Dockerfile . +# In GitHub Actions, this is overridden to use the GHCR base image +ARG BASE_IMAGE=openenv-base:latest +FROM ${BASE_IMAGE} + +# Install dependencies +COPY src/envs/snake_env/server/requirements.txt /tmp/requirements.txt +RUN pip install --no-cache-dir -r /tmp/requirements.txt && rm /tmp/requirements.txt + +# Copy only what's needed for this environment +COPY src/core/ /app/src/core/ +COPY src/envs/snake_env/ /app/src/envs/snake_env/ + +# Copy README for web interface documentation +COPY src/envs/snake_env/README.md /app/README.md + +# Expose port +EXPOSE 8000 + +# Health check +HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \ + CMD curl -f http://localhost:8000/health || exit 1 + +# Run the FastAPI server +# CMD ["uvicorn", "envs.snake_env.server.app:app", "--host", "0.0.0.0", "--port", "8000"] +CMD ["python", "-m", "uvicorn", "envs.snake_env.server.app:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/src/envs/snake_env/server/__init__.py b/src/envs/snake_env/server/__init__.py new file mode 100644 index 00000000..46ebf33f --- /dev/null +++ b/src/envs/snake_env/server/__init__.py @@ -0,0 +1,7 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Snake Environment Server - FastAPI HTTP server for snake game.""" diff --git a/src/envs/snake_env/server/app.py b/src/envs/snake_env/server/app.py new file mode 100644 index 00000000..dac08515 --- /dev/null +++ b/src/envs/snake_env/server/app.py @@ -0,0 +1,59 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +FastAPI application for the Snake Environment. + +This module creates an HTTP server that exposes the SnakeEnvironment +over HTTP endpoints, making it compatible with HTTPEnvClient. + +Usage: + # Development (with auto-reload): + uvicorn server.app:app --reload --host 0.0.0.0 --port 8000 + + # Production: + uvicorn server.app:app --host 0.0.0.0 --port 8000 --workers 4 + + # Or run directly: + uv run --project . server +""" + +# Support both in-repo and standalone imports +try: + # In-repo imports (when running from OpenEnv repository) + from core.env_server.http_server import create_app + from ..models import SnakeAction, SnakeObservation + from .snake_environment import SnakeEnvironment +except ImportError: + # Standalone imports (when environment is standalone with openenv-core from pip) + from openenv_core.env_server.http_server import create_app + from models import SnakeAction, SnakeObservation + from server.snake_environment import SnakeEnvironment + +# Create the environment instance +env = SnakeEnvironment() + +# Create the app with web interface and README integration +app = create_app(env, SnakeAction, SnakeObservation, env_name="snake_env") + + +def main(): + """ + Entry point for direct execution via uv run or python -m. + + This function enables running the server without Docker: + uv run --project . server + python -m envs.snake_env.server.app + openenv serve snake_env + + """ + import uvicorn + + uvicorn.run(app, host="0.0.0.0", port=8000) + + +if __name__ == "__main__": + main() diff --git a/src/envs/snake_env/server/requirements.txt b/src/envs/snake_env/server/requirements.txt new file mode 100644 index 00000000..5c509d9b --- /dev/null +++ b/src/envs/snake_env/server/requirements.txt @@ -0,0 +1,5 @@ +# Snake environment dependencies +marlenv>=1.0.0 +gym==0.24.1 +numpy>=1.24.0 +Pillow>=10.0.0 diff --git a/src/envs/snake_env/server/snake_environment.py b/src/envs/snake_env/server/snake_environment.py new file mode 100644 index 00000000..a9333da5 --- /dev/null +++ b/src/envs/snake_env/server/snake_environment.py @@ -0,0 +1,246 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Snake Environment Implementation. + +A multi-agent snake game environment that wraps marlenv's Snake-v1. +This implementation provides a single-agent interface by wrapping the +multi-agent marlenv environment. +""" + +from uuid import uuid4 + +import gym +import marlenv.envs # Register marlenv environments with gym +import numpy as np + +# Support both in-repo and standalone imports +try: + # In-repo imports (when running from OpenEnv repository) + from core.env_server.interfaces import Environment + from core.env_server.types import State + + from ..models import SnakeAction, SnakeObservation +except ImportError: + from models import SnakeAction, SnakeObservation + + # Standalone imports (when environment is standalone with openenv-core from pip) + from openenv_core.env_server.interfaces import Environment + from openenv_core.env_server.types import State + + +class SingleAgentWrapper(gym.Wrapper): + """ + Custom wrapper to convert multi-agent marlenv to single-agent. + + This wrapper properly handles the conversion without triggering + gym 0.24.1's strict type checking on done flags. + """ + + def __init__(self, env): + super().__init__(env) + # Unwrap observation and action spaces for single agent + if hasattr(env.observation_space, '__getitem__'): + self.observation_space = env.observation_space[0] + if hasattr(env.action_space, '__getitem__'): + self.action_space = env.action_space[0] + + def reset(self, **kwargs): + obs = self.env.reset(**kwargs) + # Remove first dimension if it's a multi-agent array (num_agents, H, W, C) + if hasattr(obs, 'shape') and len(obs.shape) == 4 and obs.shape[0] == 1: + return obs[0] # Return (H, W, C) + # Return first agent's observation if it's a list + if isinstance(obs, list): + return obs[0] + return obs + + def step(self, action): + # Wrap action in list for multi-agent env + obs, rewards, dones, info = self.env.step([action]) + + # Unwrap returns for single agent + # Handle observation: remove first dimension if shape is (1, H, W, C) + if hasattr(obs, 'shape') and len(obs.shape) == 4 and obs.shape[0] == 1: + obs = obs[0] # Convert (1, H, W, C) -> (H, W, C) + elif isinstance(obs, list): + obs = obs[0] + + reward = rewards[0] if isinstance(rewards, list) else rewards + done = dones[0] if isinstance(dones, list) else dones + + # Ensure done is a boolean (not numpy bool) + done = bool(done) + + return obs, reward, done, info + + +class SnakeEnvironment(Environment): + """ + A snake game environment that wraps marlenv's Snake-v1. + + This environment provides a single-agent interface to the multi-agent + snake game. The snake must navigate a grid, eat fruits, and avoid walls + and its own body. + + Args: + height: Height of the grid map (default: 20) + width: Width of the grid map (default: 20) + snake_length: Initial length of the snake (default: 3) + vision_range: Vision range for partial observability (default: None for full grid) + observer: 'snake' for relative actions or 'human' for global directions (default: 'snake') + max_episode_steps: Maximum steps per episode (default: 1000) + reward_dict: Custom reward function (default: fruit=1.0, others=0.0) + + Example: + >>> env = SnakeEnvironment() + >>> obs = env.reset() + >>> print(obs.alive) # True + >>> + >>> obs = env.step(SnakeAction(action=1)) # Turn left + >>> print(obs.episode_score) + >>> print(obs.reward) + """ + + def __init__( + self, + height: int = 20, + width: int = 20, + snake_length: int = 3, + vision_range: int = None, + observer: str = "snake", + max_episode_steps: int = 1000, + reward_dict: dict = None, + ): + """Initialize the snake environment.""" + self._state = State(episode_id=str(uuid4()), step_count=0) + + # Default reward function + if reward_dict is None: + reward_dict = { + "fruit": 1.0, + "kill": 0.0, + "lose": -1.0, + "win": 100.0, + "time": 0.001, + } + + # Create the marlenv snake environment for single agent + # Note: We don't use gym.make directly to avoid gym 0.24.1 wrappers + from marlenv.envs.snake_env import SnakeEnv as MarlenvSnake + + self.base_env = MarlenvSnake( + height=height, + width=width, + num_snakes=1, # Single agent + snake_length=snake_length, + vision_range=vision_range, + frame_stack=1, + observer=observer, + reward_dict=reward_dict, + max_episode_steps=max_episode_steps, + ) + + # Wrap with our custom SingleAgent wrapper + self.env = SingleAgentWrapper(self.base_env) + + # Track episode statistics + self._episode_score = 0.0 + self._episode_fruits = 0 + self._episode_kills = 0 + + def reset(self) -> SnakeObservation: + """ + Reset the environment. + + Returns: + SnakeObservation with initial game state + """ + self._state = State(episode_id=str(uuid4()), step_count=0) + self._episode_score = 0.0 + self._episode_fruits = 0 + self._episode_kills = 0 + + # Reset the marlenv environment + obs = self.env.reset() + + # Convert observation to list format + obs_list = obs.tolist() if isinstance(obs, np.ndarray) else obs + + # Get the grid from the environment (access base env directly) + grid = self.base_env.grid.tolist() if hasattr(self.base_env, "grid") else [] + + return SnakeObservation( + grid=grid, + observation=obs_list, + episode_score=self._episode_score, + episode_steps=self._state.step_count, + episode_fruits=self._episode_fruits, + episode_kills=self._episode_kills, + alive=True, + done=False, + reward=0.0, + ) + + def step(self, action: SnakeAction) -> SnakeObservation: # type: ignore[override] + """ + Execute a step in the environment. + + Args: + action: SnakeAction containing the action to take + + Returns: + SnakeObservation with the result of the action + """ + self._state.step_count += 1 + + # Execute action in marlenv + obs, reward, done, info = self.env.step(action.action) + + # Update episode statistics + self._episode_score += reward + + # Convert observation to list format + obs_list = obs.tolist() if isinstance(obs, np.ndarray) else obs + + # Get the grid from the environment (access base env directly) + grid = self.base_env.grid.tolist() if hasattr(self.base_env, "grid") else [] + + # Extract episode statistics from info if available + episode_fruits = ( + info.get("episode_fruits", [self._episode_fruits])[0] + if "episode_fruits" in info + else self._episode_fruits + ) + episode_kills = ( + info.get("episode_kills", [self._episode_kills])[0] + if "episode_kills" in info + else self._episode_kills + ) + + return SnakeObservation( + grid=grid, + observation=obs_list, + episode_score=self._episode_score, + episode_steps=self._state.step_count, + episode_fruits=int(episode_fruits), + 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