import time
from typing import Any

import openai
from openai import OpenAI

from .types import MessageList, SamplerBase, SamplerResponse


class ResponsesSampler(SamplerBase):
    """
    Sample from OpenAI's responses API
    """

    def __init__(
        self,
        model: str,
        developer_message: str | None = None,
        temperature: float = 1.0,
        max_tokens: int = 1024,
        reasoning_model: bool = False,
        reasoning_effort: str | None = None,
        base_url: str = "http://localhost:8000/v1",
    ):
        self.api_key_name = "OPENAI_API_KEY"
        self.client = OpenAI(base_url=base_url, timeout=24*60*60)
        self.model = model
        self.developer_message = developer_message
        self.temperature = temperature
        self.max_tokens = max_tokens
        self.image_format = "url"
        self.reasoning_model = reasoning_model
        self.reasoning_effort = reasoning_effort

    def _pack_message(self, role: str, content: Any) -> dict[str, Any]:
        return {"role": role, "content": content}

    def __call__(self, message_list: MessageList) -> SamplerResponse:
        if self.developer_message:
            message_list = [
                self._pack_message("developer", self.developer_message)
            ] + message_list
        trial = 0
        while True:
            try:
                if self.reasoning_model:
                    reasoning = (
                        {"effort": self.reasoning_effort}
                        if self.reasoning_effort
                        else None
                    )
                    response = self.client.responses.create(
                        model=self.model,
                        input=message_list,
                        reasoning=reasoning,
                    )
                else:
                    response = self.client.responses.create(
                        model=self.model,
                        input=message_list,
                        temperature=self.temperature,
                        max_output_tokens=self.max_tokens,
                    )

                for output in response.output:
                    if hasattr(output, "text"):
                        message_list.append(self._pack_message(getattr(output, "role", "assistant"), output.text))
                    elif hasattr(output, "content"):
                        for c in output.content:
                            # c.text handled below
                            pass

                return SamplerResponse(
                    response_text=response.output_text,
                    response_metadata={"usage": response.usage},
                    actual_queried_message_list=message_list,
                )
            except openai.BadRequestError as e:
                print("Bad Request Error", e)
                return SamplerResponse(
                    response_text="",
                    response_metadata={"usage": None},
                    actual_queried_message_list=message_list,
                )
            except Exception as e:
                exception_backoff = 2**trial  # expontial back off
                print(
                    f"Rate limit exception so wait and retry {trial} after {exception_backoff} sec",
                    e,
                )
                time.sleep(exception_backoff)
                trial += 1
            # unknown error shall throw exception