Check that ray single agent training works

src/primaite/game/environment.py

@@ -68,8 +68,13 @@ class PrimaiteGymEnv(gymnasium.Env):
 class PrimaiteRayEnv(gymnasium.Env):
     """Ray wrapper that accepts a single `env_config` parameter in init function for compatibility with Ray."""
 
-    def __init__(self, env_config: Dict) -> None:
-        """Initialise the environment."""
+    def __init__(self, env_config: Dict[str, PrimaiteGame]) -> None:
+        """Initialise the environment.
+
+        :param env_config: A dictionary containing the environment configuration. It must contain a single key, `game`
+            which is the PrimaiteGame instance.
+        :type env_config: Dict[str, PrimaiteGame]
+        """
         self.env = PrimaiteGymEnv(game=env_config["game"])
         self.action_space = self.env.action_space
         self.observation_space = self.env.observation_space

src/primaite/notebooks/training_example_ray_single_agent.ipynb

@@ -0,0 +1,129 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from primaite.game.game import PrimaiteGame\n",
+    "import yaml\n",
+    "from primaite.config.load import example_config_path\n",
+    "\n",
+    "from primaite.game.environment import PrimaiteRayEnv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open(example_config_path(), 'r') as f:\n",
+    "    cfg = yaml.safe_load(f)\n",
+    "\n",
+    "game = PrimaiteGame.from_config(cfg)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gym = PrimaiteRayEnv({\"game\":game})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import ray\n",
+    "from ray.rllib.algorithms import ppo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ray.shutdown()\n",
+    "ray.init()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "env_config = {\"game\":game}\n",
+    "config = {\n",
+    "    \"env\" : PrimaiteRayEnv,\n",
+    "    \"env_config\" : env_config,\n",
+    "    \"disable_env_checking\": True,\n",
+    "    \"num_rollout_workers\": 0,\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "algo = ppo.PPO(config=config)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i in range(5):\n",
+    "    result = algo.train()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "algo.save(\"temp/deleteme\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}