import time
from datetime import datetime

from llm_server import opts
from llm_server.llm.info import get_running_model
from llm_server.routes.cache import redis
from llm_server.routes.queue import priority_queue
from llm_server.routes.stats import SemaphoreCheckerThread, calculate_avg_gen_time, get_active_gen_workers, get_total_proompts, server_start_time


def generate_stats():
    model_list, error = get_running_model()  # will return False when the fetch fails
    if isinstance(model_list, bool):
        online = False
    else:
        online = True

    # t = elapsed_times.copy()  # copy since we do multiple operations and don't want it to change
    # if len(t) == 0:
    #     estimated_wait = 0
    # else:
    #     waits = [elapsed for end, elapsed in t]
    #     estimated_wait = int(sum(waits) / len(waits))

    proompters_in_queue = len(priority_queue) + get_active_gen_workers()
    average_tps = float(redis.get('average_tps'))

    if opts.average_generation_time_mode == 'database':
        average_generation_time = int(float(redis.get('average_generation_elapsed_sec')))
        average_output_tokens = int(float(redis.get('average_output_tokens')))
        estimated_wait_sec = int(((average_output_tokens / average_tps) * proompters_in_queue) / opts.concurrent_gens)
    elif opts.average_generation_time_mode == 'minute':
        average_generation_time = int(calculate_avg_gen_time())
        estimated_wait_sec = int((average_generation_time * proompters_in_queue) / opts.concurrent_gens)
    else:
        raise Exception

    # TODO: https://stackoverflow.com/questions/22721579/sorting-a-nested-ordereddict-by-key-recursively
    return {
        'stats': {
            'proompts_in_queue': proompters_in_queue,
            'proompters_1_min': SemaphoreCheckerThread.proompters_1_min,
            'total_proompts': get_total_proompts() if opts.show_num_prompts else None,
            'uptime': int((datetime.now() - server_start_time).total_seconds()) if opts.show_uptime else None,
            'average_generation_elapsed_sec': average_generation_time,
            'average_tps': average_tps,
        },
        'online': online,
        'mode': opts.mode,
        'model': model_list,
        'endpoints': {
            'blocking': opts.full_client_api,
        },
        'estimated_wait_sec': estimated_wait_sec,
        'timestamp': int(time.time()),
        'openaiKeys': '∞',
        'anthropicKeys': '∞',
        'config': {
            'gatekeeper': 'none' if opts.auth_required is False else 'token',
            'context_size': opts.context_size,
            'queue_size': opts.concurrent_gens,
        }
    }