import os
from typing import Any, Optional

from langchain_openai import ChatOpenAI

from .base_client import BaseLLMClient
from .validators import validate_model


class UnifiedChatOpenAI(ChatOpenAI):
    """ChatOpenAI subclass that strips incompatible params for certain models."""

    def __init__(self, **kwargs):
        model = kwargs.get("model", "")
        if self._is_reasoning_model(model):
            kwargs.pop("temperature", None)
            kwargs.pop("top_p", None)
        super().__init__(**kwargs)

    @staticmethod
    def _is_reasoning_model(model: str) -> bool:
        """Check if model is a reasoning model that doesn't support temperature."""
        model_lower = model.lower()
        return (
            model_lower.startswith("o1")
            or model_lower.startswith("o3")
            or "gpt-5" in model_lower
        )


class OpenAIClient(BaseLLMClient):
    """Client for OpenAI-compatible providers.

    Supported providers:
    - openai      → OpenAI platform
    - ollama      → Local Ollama server (no auth)
    - openrouter  → OpenRouter API
    - xai         → xAI / Grok API
    - ark         → ByteDance Ark (OpenAI-compatible API)
    """

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

    def get_llm(self) -> Any:
        """Return configured ChatOpenAI instance."""
        llm_kwargs = {"model": self.model}

        if self.provider == "xai":
            llm_kwargs["base_url"] = "https://api.x.ai/v1"
            api_key = os.environ.get("XAI_API_KEY")
            if api_key:
                llm_kwargs["api_key"] = api_key
        elif self.provider == "openrouter":
            llm_kwargs["base_url"] = "https://openrouter.ai/api/v1"
            api_key = os.environ.get("OPENROUTER_API_KEY")
            if api_key:
                llm_kwargs["api_key"] = api_key
        elif self.provider == "ollama":
            llm_kwargs["base_url"] = "http://localhost:11434/v1"
            llm_kwargs["api_key"] = "ollama"  # Ollama doesn't require auth
        elif self.provider == "ark":
            # ByteDance Ark (OpenAI-compatible) – API key from ARK_API_KEY
            # Default base_url matches official docs but can be overridden.
            llm_kwargs["base_url"] = (
                self.base_url
                or "https://ark.ap-southeast.bytepluses.com/api/v3"
            )
            api_key = os.environ.get("ARK_API_KEY")
            if api_key:
                llm_kwargs["api_key"] = api_key
        elif self.base_url:
            llm_kwargs["base_url"] = self.base_url

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

        return UnifiedChatOpenAI(**llm_kwargs)

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