import os
from typing import Any, Optional

from langchain_anthropic import ChatAnthropic

from .base_client import BaseLLMClient
from .validators import validate_model


class AnthropicClient(BaseLLMClient):
    """Client for Anthropic Claude models."""

    def __init__(self, model: str, base_url: Optional[str] = None, **kwargs):
        super().__init__(model, base_url, **kwargs)

    def get_llm(self) -> Any:
        """Return configured ChatAnthropic instance."""
        import certifi
        
        # Fix SSL certificate path issue on Windows with conda
        ssl_cert_file = os.environ.get("SSL_CERT_FILE", "")
        if ssl_cert_file and not os.path.exists(ssl_cert_file):
            os.environ.pop("SSL_CERT_FILE", None)
            os.environ["SSL_CERT_FILE"] = certifi.where()
        
        llm_kwargs = {"model": self.model}

        for key in ("timeout", "max_retries", "api_key", "max_tokens", "callbacks"):
            if key in self.kwargs:
                llm_kwargs[key] = self.kwargs[key]

        return ChatAnthropic(**llm_kwargs)

    def validate_model(self) -> bool:
        """Validate model for Anthropic."""
        return validate_model("anthropic", self.model)