

import logging
import threading
import time

from mcp import Tool

logger = logging.getLogger(__file__)

class TokenBucket:
    def __init__(self, rate_limit: float):
        self.rate_limit = rate_limit
        self.tokens = rate_limit
        self.last_update = time.time()
        self.lock = threading.Lock()

    def acquire(self) -> bool:
        with self.lock:
            now = time.time()

            new_tokens = (now - self.last_update) * self.rate_limit
            self.tokens = min(self.rate_limit, self.tokens + new_tokens)
            self.last_update = now

            if self.tokens >= 1:
                self.tokens -= 1
                return True
            return False

def mcp2openai(mcp_tool: Tool) -> dict:
    openai_format = {
        "type": "function",
        "function": {
            "name": mcp_tool.name,
            "description": mcp_tool.description,
            "parameters": mcp_tool.inputSchema,
            "strict": False,
        },
    }
    if not openai_format["function"]["parameters"].get("required", None):
        openai_format["function"]["parameters"]["required"] = []
    return openai_format
