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Update tools/chess_tools.py
Browse files- tools/chess_tools.py +88 -0
tools/chess_tools.py
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import shutil
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from smolagents import Tool
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import requests
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class ChessEngineLocatorTool(Tool):
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name = "locate_chess_engine"
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description = "Locates the installed Stockfish chess engine binary on the system."
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inputs = {}
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output_type = "string"
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def forward(self) -> str:
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engine_path = shutil.which("stockfish")
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return engine_path or "Stockfish engine not found."
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class ChessboardImageToFENTool(Tool):
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name = "image_to_fen"
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description = "Analyzes a chessboard image and returns its FEN representation."
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inputs = {
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"image_url": {
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"type": "string",
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"description": "A public image URL or a base64 data URL containing a chessboard photo."
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}
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}
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output_type = "string"
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def __init__(self, endpoint_url: str, hf_token: str, **kwargs):
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super().__init__(**kwargs)
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self.endpoint_url = endpoint_url
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self.hf_token = hf_token
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def forward(self, image_url: str) -> str:
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headers = {
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"Authorization": f"Bearer {self.hf_token}",
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"Content-Type": "application/json"
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}
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payload = {
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"inputs": [
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{
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"role": "user",
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"content": [
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{"type": "input_text", "text": "Extract chess piece positions from this image."},
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{"type": "input_image", "image_url": image_url}
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]
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},
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{
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"role": "user",
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"content": [
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{
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"type": "input_text",
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"text": (
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"Using the extracted pieces, list each one with its position in format <piece><square> (e.g., Kd4).\n"
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"Use uppercase for white, lowercase for black. Output only the lines with positions."
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)
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}
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]
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}
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]
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}
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response = requests.post(self.endpoint_url, headers=headers, json=payload)
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response.raise_for_status()
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raw_text = response.json().get("generated_text", "")
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squares = {}
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for line in raw_text.splitlines():
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line = line.strip()
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if len(line) == 3:
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squares[line[1:3]] = line[0]
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fen_rows = []
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for rank in range(8, 0, -1):
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row = ""
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empty = 0
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for file in "abcdefgh":
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pos = f"{file}{rank}"
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if pos in squares:
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if empty > 0:
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row += str(empty)
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empty = 0
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row += squares[pos]
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else:
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empty += 1
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if empty:
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row += str(empty)
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fen_rows.append(row)
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return "/".join(fen_rows)
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