mirror of
https://github.com/GoodStartLabs/AI_Diplomacy.git
synced 2026-04-19 12:58:09 +00:00
281 lines
9.8 KiB
Python
281 lines
9.8 KiB
Python
import argparse
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import logging
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import time
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import dotenv
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import os
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import json
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from collections import defaultdict
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import concurrent.futures
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# Suppress Gemini/PaLM gRPC warnings
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os.environ["GRPC_PYTHON_LOG_LEVEL"] = "40" # ERROR level only
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from diplomacy import Game
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from diplomacy.utils.export import to_saved_game_format
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from ai_diplomacy.clients import load_model_client
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from ai_diplomacy.utils import (
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get_valid_orders,
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gather_possible_orders,
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assign_models_to_powers,
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)
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from ai_diplomacy.negotiations import conduct_negotiations
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from ai_diplomacy.planning import planning_phase
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from ai_diplomacy.game_history import GameHistory
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dotenv.load_dotenv()
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logger = logging.getLogger(__name__)
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
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datefmt="%H:%M:%S",
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)
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def parse_arguments():
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parser = argparse.ArgumentParser(
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description="Run a Diplomacy game simulation with configurable parameters."
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)
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parser.add_argument(
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"--max_year",
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type=int,
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default=1901,
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help="Maximum year to simulate. The game will stop once this year is reached.",
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)
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parser.add_argument(
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"--num_negotiation_rounds",
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type=int,
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default=0,
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help="Number of negotiation rounds per phase.",
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)
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parser.add_argument(
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"--output",
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type=str,
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default="",
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help="Output filename for the final JSON result. If not provided, a timestamped name will be generated.",
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)
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parser.add_argument(
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"--models",
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type=str,
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default="",
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help=(
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"Comma-separated list of model names to assign to powers in order. "
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"The order is: AUSTRIA, ENGLAND, FRANCE, GERMANY, ITALY, RUSSIA, TURKEY."
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),
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)
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parser.add_argument(
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"--planning_phase",
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action="store_true",
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help="Enable the planning phase for each power to set strategic directives.",
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)
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parser.add_argument(
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"--seed",
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type=int,
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default=None,
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help="Seed for the random number generator.",
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)
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return parser.parse_args()
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def main():
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args = parse_arguments()
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max_year = args.max_year
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logger.info(
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"Starting a new Diplomacy game for testing with multiple LLMs, now concurrent!"
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)
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start_whole = time.time()
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model_error_stats = defaultdict(
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lambda: {"conversation_errors": 0, "order_decoding_errors": 0}
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)
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# Create a fresh Diplomacy game
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game = Game()
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game_history = GameHistory()
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# Ensure game has phase_summaries attribute
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if not hasattr(game, "phase_summaries"):
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game.phase_summaries = {}
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# Determine the result folder based on a timestamp
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timestamp_str = time.strftime("%Y%m%d_%H%M%S")
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result_folder = f"./results/{timestamp_str}"
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os.makedirs(result_folder, exist_ok=True)
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# File paths
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manifesto_path = f"{result_folder}/game_manifesto.txt"
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# Use provided output filename or generate one based on the timestamp
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game_file_path = args.output if args.output else f"{result_folder}/lmvsgame.json"
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overview_file_path = f"{result_folder}/overview.jsonl"
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# Handle power model mapping
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if args.models:
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# Expected order: AUSTRIA, ENGLAND, FRANCE, GERMANY, ITALY, RUSSIA, TURKEY
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powers_order = [
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"AUSTRIA",
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"ENGLAND",
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"FRANCE",
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"GERMANY",
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"ITALY",
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"RUSSIA",
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"TURKEY",
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]
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provided_models = [name.strip() for name in args.models.split(",")]
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if len(provided_models) != len(powers_order):
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logger.error(
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f"Expected {len(powers_order)} models for --power-models but got {len(provided_models)}. Exiting."
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)
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return
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game.power_model_map = dict(zip(powers_order, provided_models))
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else:
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game.power_model_map = assign_models_to_powers(args.seed)
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while not game.is_game_done:
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phase_start = time.time()
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current_phase = game.get_current_phase()
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logger.info(
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f"PHASE: {current_phase} (time so far: {phase_start - start_whole:.2f}s)"
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)
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# DEBUG: Print the short phase to confirm
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logger.info(f"DEBUG: current_short_phase is '{game.current_short_phase}'")
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# Prevent unbounded simulation based on year
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year_str = current_phase[1:5]
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year_int = int(year_str)
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if year_int > max_year:
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logger.info(f"Reached year {year_int}, stopping the test game early.")
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break
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# If it's a movement phase (e.g. ends with "M"), conduct negotiations
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if game.current_short_phase.endswith("M"):
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if args.planning_phase:
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logger.info("Starting planning phase block...")
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game_history = planning_phase(
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game,
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game_history,
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model_error_stats,
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)
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logger.info("Starting negotiation phase block...")
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game_history = conduct_negotiations(
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game,
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game_history,
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model_error_stats,
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max_rounds=args.num_negotiation_rounds,
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)
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# Gather orders from each power concurrently
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active_powers = [
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(p_name, p_obj)
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for p_name, p_obj in game.powers.items()
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if not p_obj.is_eliminated()
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]
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with concurrent.futures.ThreadPoolExecutor(
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max_workers=len(active_powers)
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) as executor:
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futures = {}
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for power_name, _ in active_powers:
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model_id = game.power_model_map.get(power_name, "o3-mini")
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client = load_model_client(model_id)
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possible_orders = gather_possible_orders(game, power_name)
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if not possible_orders:
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logger.info(f"No orderable locations for {power_name}; skipping.")
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continue
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board_state = game.get_state()
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future = executor.submit(
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get_valid_orders,
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game,
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client,
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board_state,
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power_name,
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possible_orders,
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game_history,
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model_error_stats,
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)
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futures[future] = power_name
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logger.debug(f"Submitted get_valid_orders task for {power_name}.")
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for future in concurrent.futures.as_completed(futures):
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p_name = futures[future]
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try:
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orders = future.result()
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logger.debug(f"Validated orders for {p_name}: {orders}")
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if orders:
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game.set_orders(p_name, orders)
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logger.debug(
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f"Set orders for {p_name} in {game.current_short_phase}: {orders}"
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)
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else:
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logger.debug(f"No valid orders returned for {p_name}.")
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except Exception as exc:
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logger.error(f"LLM request failed for {p_name}: {exc}")
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logger.info("Processing orders...\n")
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game.process()
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# Add orders to game history
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for power_name in game.order_history[current_phase]:
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orders = game.order_history[current_phase][power_name]
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results = []
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for order in orders:
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# Example move: "A PAR H" -> unit="A PAR", order_part="H"
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tokens = order.split(" ", 2)
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if len(tokens) < 3:
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continue
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unit = " ".join(tokens[:2]) # e.g. "A PAR"
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order_part = tokens[2] # e.g. "H" or "S A MAR"
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results.append(
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[str(x) for x in game.result_history[current_phase][unit]]
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)
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game_history.add_orders(
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current_phase,
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power_name,
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game.order_history[current_phase][power_name],
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results,
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)
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logger.info("Phase complete.\n")
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# Append the strategic directives to the manifesto file
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strategic_directives = game_history.get_strategic_directives()
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if strategic_directives:
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out_str = f"Strategic directives for {current_phase}:\n"
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for power, directive in strategic_directives.items():
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out_str += f"{power}: {directive}\n\n"
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out_str += f"------------------------------------------\n"
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with open(manifesto_path, "a") as f:
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f.write(out_str)
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# Check if we've exceeded the max year
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year_str = current_phase[1:5]
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year_int = int(year_str)
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if year_int > max_year:
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logger.info(f"Reached year {year_int}, stopping the test game early.")
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break
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# Save final result
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duration = time.time() - start_whole
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logger.info(f"Game ended after {duration:.2f}s. Saving to final JSON...")
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output_path = game_file_path
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# If the file already exists, append a timestamp to the filename
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if os.path.exists(output_path):
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logger.info("Game file already exists, saving with unique filename.")
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output_path = f"{output_path}_{time.strftime('%Y%m%d_%H%M%S')}.json"
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to_saved_game_format(game, output_path=output_path)
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# Dump error stats and power model mapping to the overview file
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with open(overview_file_path, "w") as overview_file:
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overview_file.write(json.dumps(model_error_stats) + "\n")
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overview_file.write(json.dumps(game.power_model_map) + "\n")
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overview_file.write(json.dumps(vars(args)) + "\n")
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logger.info(f"Saved game data, manifesto, and error stats in: {result_folder}")
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logger.info("Done.")
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if __name__ == "__main__":
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main()
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