from typing import Optional
import litellm, traceback
from litellm.caching import DualCache
from litellm.proxy._types import UserAPIKeyAuth
from litellm.integrations.custom_logger import CustomLogger
from fastapi import HTTPException
from litellm._logging import verbose_proxy_logger


class MaxParallelRequestsHandler(CustomLogger):
    user_api_key_cache = None

    # Class variables or attributes
    def __init__(self):
        pass

    def print_verbose(self, print_statement):
        verbose_proxy_logger.debug(print_statement)

    async def async_pre_call_hook(
        self,
        user_api_key_dict: UserAPIKeyAuth,
        cache: DualCache,
        data: dict,
        call_type: str,
    ):
        self.print_verbose(f"Inside Max Parallel Request Pre-Call Hook")
        api_key = user_api_key_dict.api_key
        max_parallel_requests = user_api_key_dict.max_parallel_requests

        if api_key is None:
            return

        if max_parallel_requests is None:
            return

        self.user_api_key_cache = cache  # save the api key cache for updating the value

        # CHECK IF REQUEST ALLOWED
        request_count_api_key = f"{api_key}_request_count"
        current = cache.get_cache(key=request_count_api_key)
        self.print_verbose(f"current: {current}")
        if current is None:
            cache.set_cache(request_count_api_key, 1)
        elif int(current) < max_parallel_requests:
            # Increase count for this token
            cache.set_cache(request_count_api_key, int(current) + 1)
        else:
            raise HTTPException(
                status_code=429, detail="Max parallel request limit reached."
            )

    async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
        try:
            self.print_verbose(f"INSIDE parallel request limiter ASYNC SUCCESS LOGGING")
            user_api_key = kwargs["litellm_params"]["metadata"]["user_api_key"]
            if user_api_key is None:
                return

            if self.user_api_key_cache is None:
                return

            request_count_api_key = f"{user_api_key}_request_count"
            # Decrease count for this token
            current = self.user_api_key_cache.get_cache(key=request_count_api_key) or 1
            new_val = current - 1
            self.print_verbose(f"updated_value in success call: {new_val}")
            self.user_api_key_cache.set_cache(request_count_api_key, new_val)
        except Exception as e:
            self.print_verbose(e)  # noqa

    async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
        try:
            self.print_verbose(f"Inside Max Parallel Request Failure Hook")
            user_api_key = kwargs["litellm_params"]["metadata"]["user_api_key"]
            if user_api_key is None:
                return

            if self.user_api_key_cache is None:
                return

            ## decrement call count if call failed
            if (
                hasattr(kwargs["exception"], "status_code")
                and kwargs["exception"].status_code == 429
                and "Max parallel request limit reached" in str(kwargs["exception"])
            ):
                pass  # ignore failed calls due to max limit being reached
            else:
                request_count_api_key = f"{user_api_key}_request_count"
                # Decrease count for this token
                current = (
                    self.user_api_key_cache.get_cache(key=request_count_api_key) or 1
                )
                new_val = current - 1
                self.print_verbose(f"updated_value in failure call: {new_val}")
                self.user_api_key_cache.set_cache(request_count_api_key, new_val)
        except Exception as e:
            self.print_verbose(f"An exception occurred - {str(e)}")  # noqa