Raiff1982 commited on
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84c7940
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Create universalreasoning.py

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  1. universalreasoning.py +197 -0
universalreasoning.py ADDED
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+ import json
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+ import os
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+ import logging
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+ from typing import List
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+
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+ # Ensure vaderSentiment is installed
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+ try:
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+ from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
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+ except ModuleNotFoundError:
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+ import subprocess
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+ import sys
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+ subprocess.check_call([sys.executable, "-m", "pip", "install", "vaderSentiment"])
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+ from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
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+
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+ # Ensure nltk is installed and download required data
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+ try:
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+ import nltk
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+ from nltk.tokenize import word_tokenize
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+ nltk.download('punkt', quiet=True)
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+ except ImportError:
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+ import subprocess
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+ import sys
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+ subprocess.check_call([sys.executable, "-m", "pip", "install", "nltk"])
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+ import nltk
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+ from nltk.tokenize import word_tokenize
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+ nltk.download('punkt', quiet=True)
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+
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+ # Import perspectives
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+ from perspectives import (
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+ NewtonPerspective, DaVinciPerspective, HumanIntuitionPerspective,
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+ NeuralNetworkPerspective, QuantumComputingPerspective, ResilientKindnessPerspective,
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+ MathematicalPerspective, PhilosophicalPerspective, CopilotPerspective, BiasMitigationPerspective
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+ )
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+
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+ # Setup Logging
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+ def setup_logging(config):
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+ if config.get('logging_enabled', True):
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+ log_level = config.get('log_level', 'DEBUG').upper()
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+ numeric_level = getattr(logging, log_level, logging.DEBUG)
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+ logging.basicConfig(
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+ filename='universal_reasoning.log',
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+ level=numeric_level,
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+ format='%(asctime)s - %(levelname)s - %(message)s'
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+ )
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+ else:
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+ logging.disable(logging.CRITICAL)
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+
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+ # Load JSON configuration
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+ def load_json_config(file_path):
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+ if not os.path.exists(file_path):
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+ logging.error(f"Configuration file '{file_path}' not found.")
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+ return {}
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+ try:
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+ with open(file_path, 'r') as file:
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+ config = json.load(file)
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+ logging.info(f"Configuration loaded from '{file_path}'.")
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+ config['allow_network_calls'] = False # Lockdown
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+ return config
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+ except json.JSONDecodeError as e:
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+ logging.error(f"Error decoding JSON from the configuration file '{file_path}': {e}")
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+ return {}
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+
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+ # NLP Analyzer
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+ def analyze_question(question):
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+ tokens = word_tokenize(question)
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+ logging.debug(f"Question tokens: {tokens}")
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+ return tokens
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+
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+ # Element Class
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+ class Element:
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+ def __init__(self, name, symbol, representation, properties, interactions, defense_ability):
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+ self.name = name
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+ self.symbol = symbol
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+ self.representation = representation
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+ self.properties = properties
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+ self.interactions = interactions
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+ self.defense_ability = defense_ability
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+
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+ def execute_defense_function(self):
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+ message = f"{self.name} ({self.symbol}) executes its defense ability: {self.defense_ability}"
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+ logging.info(message)
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+ return message
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+
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+ # Recognizer Classes
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+ class CustomRecognizer:
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+ def recognize(self, question):
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+ if any(element_name.lower() in question.lower() for element_name in ["hydrogen", "diamond"]):
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+ return RecognizerResult(question)
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+ return RecognizerResult(None)
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+
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+ def get_top_intent(self, recognizer_result):
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+ if recognizer_result.text:
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+ return "ElementDefense"
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+ else:
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+ return "None"
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+
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+ class RecognizerResult:
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+ def __init__(self, text):
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+ self.text = text
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+
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+ # Reasoning Engine
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+ class UniversalReasoning:
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+ def __init__(self, config):
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+ self.config = config
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+ self.perspectives = self.initialize_perspectives()
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+ self.elements = self.initialize_elements()
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+ self.recognizer = CustomRecognizer()
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+ self.sentiment_analyzer = SentimentIntensityAnalyzer()
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+
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+ def initialize_perspectives(self):
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+ perspective_names = self.config.get('enabled_perspectives', [
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+ "newton", "davinci", "human_intuition", "neural_network", "quantum_computing",
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+ "resilient_kindness", "mathematical", "philosophical", "copilot", "bias_mitigation"
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+ ])
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+ perspective_classes = {
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+ "newton": NewtonPerspective,
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+ "davinci": DaVinciPerspective,
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+ "human_intuition": HumanIntuitionPerspective,
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+ "neural_network": NeuralNetworkPerspective,
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+ "quantum_computing": QuantumComputingPerspective,
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+ "resilient_kindness": ResilientKindnessPerspective,
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+ "mathematical": MathematicalPerspective,
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+ "philosophical": PhilosophicalPerspective,
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+ "copilot": CopilotPerspective,
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+ "bias_mitigation": BiasMitigationPerspective
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+ }
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+ perspectives = []
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+ for name in perspective_names:
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+ cls = perspective_classes.get(name.lower())
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+ if cls:
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+ perspectives.append(cls(self.config))
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+ logging.debug(f"Perspective '{name}' initialized.")
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+ return perspectives
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+
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+ def initialize_elements(self):
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+ return [
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+ Element("Hydrogen", "H", "Lua", ["Simple", "Lightweight", "Versatile"],
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+ ["Integrates with other languages"], "Evasion"),
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+ Element("Diamond", "D", "Kotlin", ["Modern", "Concise", "Safe"],
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+ ["Used for Android development"], "Adaptability")
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+ ]
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+
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+ async def generate_response(self, question):
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+ responses = []
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+ tasks = []
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+
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+ for perspective in self.perspectives:
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+ if asyncio.iscoroutinefunction(perspective.generate_response):
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+ tasks.append(perspective.generate_response(question))
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+ else:
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+ async def sync_wrapper(perspective, question):
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+ return perspective.generate_response(question)
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+ tasks.append(sync_wrapper(perspective, question))
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+
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+ perspective_results = await asyncio.gather(*tasks, return_exceptions=True)
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+
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+ for perspective, result in zip(self.perspectives, perspective_results):
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+ if isinstance(result, Exception):
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+ logging.error(f"Error from {perspective.__class__.__name__}: {result}")
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+ else:
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+ responses.append(result)
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+
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+ recognizer_result = self.recognizer.recognize(question)
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+ top_intent = self.recognizer.get_top_intent(recognizer_result)
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+ if top_intent == "ElementDefense":
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+ element_name = recognizer_result.text.strip()
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+ element = next((el for el in self.elements if el.name.lower() in element_name.lower()), None)
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+ if element:
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+ responses.append(element.execute_defense_function())
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+
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+ ethical = self.config.get("ethical_considerations", "Act transparently and respectfully.")
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+ responses.append(f"**Ethical Considerations:**\n{ethical}")
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+
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+ return "\n\n".join(responses)
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+
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+ def save_response(self, response):
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+ if self.config.get('enable_response_saving', False):
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+ path = self.config.get('response_save_path', 'responses.txt')
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+ with open(path, 'a', encoding='utf-8') as file:
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+ file.write(response + '\n')
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+
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+ def backup_response(self, response):
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+ if self.config.get('backup_responses', {}).get('enabled', False):
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+ backup_path = self.config['backup_responses'].get('backup_path', 'backup_responses.txt')
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+ with open(backup_path, 'a', encoding='utf-8') as file:
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+ file.write(response + '\n')
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+
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+ # Execution
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+ if __name__ == "__main__":
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+ config = load_json_config('config.json')
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+ setup_logging(config)
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+ ur = UniversalReasoning(config)
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+ q = "Tell me about Hydrogen and its defense mechanisms."
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+ result = asyncio.run(ur.generate_response(q))
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+ print(result)
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+ ur.save_response(result)
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+ ur.backup_response(result)