#swarm-bot2.py

import sys
import nltk
from nltk.corpus import words, brown
nltk.download('punkt')
import tempfile
import Levenshtein
import collections
import threading
from threading import Lock
import requests
import geneticalgorithm as ga
#from geneticalgorithm import choose_best_word
import numpy as np
#import self_improving_bot as swarm_bot
#import swarm_bot
#from swarm_bot import SelfImprovingBot, swarm_conversation
import botcloner


def create_bot(name, dynamic_context_window=5000):
    return SelfImprovingBot(name, dynamic_context_window)

class SelfImprovingBot:
    def __init__(self, name, dynamic_context_window, max_context_length=5000):
        self.max_context_length = max_context_length  # You can set the max_context_length attribute here
        name = "zchg.org"
        self.name = name
        self.dynamic_context_window = 25
        self.dynamic_context_window = dynamic_context_window
        #self.max_context_length=5000
        self.context_history = []
        self.context_history = collections.deque(maxlen=max_context_length)
        self.user_feedback = {}
        self.external_knowledge_map = {}
        self.learning_rate = 0.7
        self.response_quality = {}
        self.self_code_improvement = True
        self.code_improvement_strategy = "context_aware"
        self.ml_model = None
        self.model_size = sys.getsizeof(self)
        self.memory_threshold = 2 ** 29  # 512 MB
        self.scratch_drive_size = 2 ** 34  # 16 GB
        self.response_cache = {}
        self.code_versions = [copy.deepcopy(self)]
        self.last_query_time = 0
        self.last_self_improve_time = time.time()
        self.memory = ""
        self.foreground_accuracy_history = []
        self.background_accuracy_history = []
        self.last_foreground_average_accuracy = None
        self.last_background_average_accuracy = None
        self.foreground_accuracy_change_count = 0
        self.background_accuracy_change_count = 0
        self.context_history_lock = threading.RLock()
        self.simulate_conversation_lock = threading.RLock()
        self.scrape_web_page_lock = threading.RLock()

        botcloner.simulate_conversation()