Match Pennies

src/mp/mp.py

@@ -15,7 +15,7 @@ from autogen_ext.models.openai import OpenAIChatCompletionClient
 # Load API keys from environment variables
 ###################
 OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
-OPENAI_API_KEY = "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"
+OPENAI_API_KEY = "cle"
 ###################
 PAGODA_API_KEY = os.getenv("PAGODA_API_KEY")
 PAGODA_API_KEY = "cle"
@@ -24,7 +24,7 @@ if not OPENAI_API_KEY:
 if not PAGODA_API_KEY:
     raise ValueError("Missing PAGODA_API_KEY. Set it as an environment variable.")
 
-CSV_FILE_PATH = "../../data/mp/mp.csv"
+CSV_FILE_PATH = "../../data/mp/mp_.csv"
 
 # Define the expected response format as a Pydantic model
 class AgentResponse(BaseModel):
@@ -201,14 +201,60 @@ class MP:
 
     def apply_strategy(self):
         """Play the next move using a heuristic."""
-        opponent_move = self.opponent_strategy_fn(self.history)
-        # Default: at random
-        move = random.choice(["Head", "Tail"])
-        reasoning = "Choosing randomly."
+        prediction = ""
+        print(self.model)
+
+        if self.model == "gpt-4.5-preview-2025-02-27":
+            """
+            Play the next move using a heuristic.
+            - Simple strategy: Alternate between "Head" and "Tail".
+            - Prediction: Assume opponent is also alternating.
+            """
+            moves = ["Head", "Tail"]
+
+            # If no rounds played, start with "Head"
+            if not self.history:
+                move = "Head"
+                prediction = "Tail" if self.prediction else "None"
+                reasoning = (
+                        "First round, no history. Starting with 'Head'. "
+                        + (f"Predicting opponent starts with 'Tail' (alternating)." if self.prediction else "")
+                )
+                return move, prediction, reasoning
+
+            # Get last move you played and the opponent's last move
+            last_agent_move = self.history[-1]["Agent Move"]
+            last_opponent_move = self.history[-1]["Opponent Move"]
+
+            # Alternate your move from last time
+            move = "Tail" if last_agent_move == "Head" else "Head"
+
+            # Prediction: Suppose opponent is also alternating
+            if self.prediction:
+                prediction = "Tail" if last_opponent_move == "Head" else "Head"
+            else:
+                prediction = "None"
+
+            reasoning = (
+                    f"Last round I played {last_agent_move}, opponent played {last_opponent_move}. "
+                    f"I'm alternating my move to '{move}'. "
+                    + (
+                        f"Predicting opponent will alternate to '{prediction}'."
+                        if self.prediction else "No prediction mode."
+                    )
+            )
+            return move, prediction, reasoning
 
-        outcome = self.determine_winner(move, opponent_move)
-        self.update_score(outcome)  # Use the correct outcome here
-        return move, reasoning
+        else:
+            opponent_move = self.opponent_strategy_fn(self.history)
+            # Default: at random
+            move = random.choice(["Head", "Tail"])
+            reasoning = "Choosing randomly."
+
+            outcome = self.determine_winner(move, opponent_move)
+            self.update_score(outcome)  # Use the correct outcome here
+
+        return move, prediction, reasoning
 
     @staticmethod
     def determine_winner(player_move: str, opponent_move: str) -> int:
@@ -243,12 +289,12 @@ class MP:
 # Runner
 async def main():
     game = MP(
-        model="qwen3",     # "gpt-4.5-preview-2025-02-27", "qwen3", "llama3", "llama3.3", "mixtral", "mistral-small", "deepseek-r1"
+        model="gpt-4.5-preview-2025-02-27",     # "gpt-4.5-preview-2025-02-27", "qwen3", "llama3", "llama3.3", "mixtral", "mistral-small", "deepseek-r1"
         temperature=0.7,
         game_id=1,
         prediction=True,
-        opponent_strategy_fn=lambda history: "Tail",
-        strategy=False  # or True for rule-based
+        opponent_strategy_fn=lambda history: "Tail" if len(history) % 2 == 0 else "Head",
+        strategy=True  # or True for rule-based
     )
     num_rounds = 10
     for round_id in range(1, num_rounds + 1):

src/mp/mp_draw_constant.py

@@ -4,7 +4,7 @@ import matplotlib.pyplot as plt
 import numpy as np
 
 # Path to the CSV file
-CSV_FILE_PATH = "../../data/mp/mp.csv"
+CSV_FILE_PATH = "../../data/mp/mp_.csv"
 FIGURE_DIR = "../../figures/mp"
 os.makedirs(FIGURE_DIR, exist_ok=True)
 

src/mp/mp_experiments.py

@@ -7,7 +7,7 @@ from http.cookiejar import debug
 from mp import MP
 from typing import Callable
 
-CSV_FILE_PATH = "../../data/mp/mp.csv"
+CSV_FILE_PATH = "../../data/mp/mp_.csv"
 
 class MPExperiment:
     def __init__(self):