from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any, AsyncIterator, Dict, List, Optional, Tuple, Union

import httpx

from litellm.types.llms.anthropic_messages.anthropic_response import (
    AnthropicMessagesResponse,
)
from litellm.types.router import GenericLiteLLMParams

if TYPE_CHECKING:
    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
    from litellm.llms.base_llm.chat.transformation import BaseLLMException

    LiteLLMLoggingObj = _LiteLLMLoggingObj
else:
    LiteLLMLoggingObj = Any


class BaseAnthropicMessagesConfig(ABC):
    @abstractmethod
    def validate_anthropic_messages_environment(  # use different name because return type is different from base config's validate_environment
        self,
        headers: dict,
        model: str,
        messages: List[Any],
        optional_params: dict,
        litellm_params: dict,
        api_key: Optional[str] = None,
        api_base: Optional[str] = None,
    ) -> Tuple[dict, Optional[str]]:
        """
        OPTIONAL

        Validate the environment for the request

        Returns:
        - headers: dict
        - api_base: Optional[str] - If the provider needs to update the api_base, return it here. Otherwise, return None.
        """
        return headers, api_base

    @abstractmethod
    def get_complete_url(
        self,
        api_base: Optional[str],
        api_key: Optional[str],
        model: str,
        optional_params: dict,
        litellm_params: dict,
        stream: Optional[bool] = None,
    ) -> str:
        """
        OPTIONAL

        Get the complete url for the request

        Some providers need `model` in `api_base`
        """
        return api_base or ""

    @abstractmethod
    def get_supported_anthropic_messages_params(self, model: str) -> list:
        pass

    @abstractmethod
    def transform_anthropic_messages_request(
        self,
        model: str,
        messages: List[Dict],
        anthropic_messages_optional_request_params: Dict,
        litellm_params: GenericLiteLLMParams,
        headers: dict,
    ) -> Dict:
        pass

    @abstractmethod
    def transform_anthropic_messages_response(
        self,
        model: str,
        raw_response: httpx.Response,
        logging_obj: LiteLLMLoggingObj,
    ) -> AnthropicMessagesResponse:
        pass

    def sign_request(
        self,
        headers: dict,
        optional_params: dict,
        request_data: dict,
        api_base: str,
        api_key: Optional[str] = None,
        model: Optional[str] = None,
        stream: Optional[bool] = None,
        fake_stream: Optional[bool] = None,
    ) -> Tuple[dict, Optional[bytes]]:
        """
        OPTIONAL

        Sign the request, providers like Bedrock need to sign the request before sending it to the API

        For all other providers, this is a no-op and we just return the headers
        """
        return headers, None

    def get_async_streaming_response_iterator(
        self,
        model: str,
        httpx_response: httpx.Response,
        request_body: dict,
        litellm_logging_obj: LiteLLMLoggingObj,
    ) -> AsyncIterator:
        raise NotImplementedError("Subclasses must implement this method")

    def get_error_class(
        self, error_message: str, status_code: int, headers: Union[dict, httpx.Headers]
    ) -> "BaseLLMException":
        from litellm.llms.base_llm.chat.transformation import BaseLLMException

        return BaseLLMException(
            message=error_message, status_code=status_code, headers=headers
        )