train my agent to solve chess problems

app.py

@@ -10,6 +10,14 @@ from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
+class BasicAgent:
+    import re
+import chess
+import chess.engine
+from PIL import Image
+from io import BytesIO
+import base64
+
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
@@ -29,16 +37,13 @@ class BasicAgent:
         self.agent.prompt_templates["system_prompt"] = self.agent.prompt_templates["system_prompt"] + SYSTEM_PROMPT
 
     def maybe_reversed(self, text: str) -> bool:
-        """Heuristically checks if a sentence is reversed letter-by-letter."""
         words = text.split()
         reversed_ratio = sum(1 for word in words if word[::-1].lower() in {"if", "you", "understand", "this", "sentence", "write", "opposite", "of", "the", "word", "left", "answer"}) / len(words)
-        return reversed_ratio > 0.3  # adjustable threshold
+        return reversed_ratio > 0.3
 
     def solve_riddle(self, question: str) -> str:
-        """Handles reversed sentence logic riddles."""
         reversed_text = question[::-1]
         if "opposite of the word" in reversed_text:
-            import re
             match = re.search(r"opposite of the word ['\"](\w+)['\"]", reversed_text)
             if match:
                 word = match.group(1).lower()
@@ -47,6 +52,43 @@ class BasicAgent:
                 return f"FINAL ANSWER: {opposite}"
         return f"FINAL ANSWER: COULD_NOT_SOLVE"
 
+    def is_chess_question(self, question: str) -> bool:
+        keywords = ["chess", "algebraic notation", "checkmate", "bishop", "rook", "knight", "position", "board"]
+        return any(k in question.lower() for k in keywords)
+
+    def extract_board_from_image(self, image_data: str) -> chess.Board:
+        # Stub implementation; replace with real image-to-FEN logic
+        # For now, simulate a board with forced mate
+        board = chess.Board()
+        board.set_fen("6k1/5ppp/8/8/8/8/5PPP/6K1 b - - 0 1")  # Example stub position
+        return board
+
+    def find_best_move(self, board: chess.Board) -> str:
+        try:
+            with chess.engine.SimpleEngine.popen_uci("/usr/games/stockfish") as engine:
+                result = engine.play(board, chess.engine.Limit(time=0.1))
+                return f"FINAL ANSWER: {board.san(result.move)}"
+        except Exception as e:
+            return f"FINAL ANSWER: ENGINE_ERROR: {e}"
+
+    def __call__(self, question: str) -> str:
+        print(f"Agent received question (first 50 chars): {question[:50]}...")
+
+        if self.maybe_reversed(question):
+            print("Detected likely reversed text. Attempting riddle solving...")
+            return self.solve_riddle(question)
+
+        if self.is_chess_question(question):
+            print("Detected chess-related question. Attempting board extraction...")
+            # You would extract image info from the question or context here
+            # For now, we'll simulate board analysis
+            board = self.extract_board_from_image("")  # Replace with actual image
+            return self.find_best_move(board)
+
+        final_answer = self.agent.run(question)
+        print(f"Agent returning final answer: {final_answer}")
+        return final_answer
+
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")