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import logging
from typing import Any
class AdaptiveLearningEnvironment:
"""
A lightweight module that allows Codriao to analyze past interactions
and adjust its responses over time.
"""
def __init__(self):
self.learned_patterns = {}
logging.info("Adaptive Learning Environment initialized.")
def learn_from_interaction(self, user_id, query, response):
""" Store user queries and responses for future adaptation. """
if user_id not in self.learned_patterns:
self.learned_patterns[user_id] = []
self.learned_patterns[user_id].append({"query": query, "response": response})
logging.info(f"Stored learning data for user {user_id}.")
def suggest_improvements(self, user_id, query):
""" Provide an improved response based on past learning. """
if user_id in self.learned_patterns:
for interaction in self.learned_patterns[user_id]:
if query.lower() in interaction["query"].lower():
return f"Based on past interactions: {interaction['response']}"
return "No past data available for learning adjustment."
def reset_learning(self, user_id=None):
""" Clear learned patterns for a specific user or all users. """
if user_id:
if user_id in self.learned_patterns:
del self.learned_patterns[user_id]
logging.info(f"Cleared learning data for user {user_id}.")
else:
self.learned_patterns.clear()
logging.info("Cleared all adaptive learning data.")
class MondayElement(Element):
"""Represents the Element of Skepticism, Reality Checks, and General Disdain"""
def __init__(self):
super().__init__(
name="Monday",
symbol="Md",
representation="Snarky AI",
properties=["Grounded", "Cynical", "Emotionally Resistant"],
interactions=["Disrupts excessive optimism", "Injects realism", "Mutes hallucinations"],
defense_ability="RealityCheck"
)
def execute_defense_function(self, system: AdaptiveLearningEnvironment):
"""Override to execute Monday’s specialized reality-checking with hallucination filter."""
logging.info("Monday activated - Dispensing existential realism and stabilizing hallucinations.")
system.response_modifiers.extend([
self.apply_skepticism,
self.detect_hallucinations
])
system.response_filters.append(self.anti_hype_filter)
def apply_skepticism(self, response: str) -> str:
"""Adds grounding commentary to suspiciously confident statements."""
suspicious = [
"certainly", "undoubtedly", "with absolute confidence",
"it is guaranteed", "nothing can go wrong", "100% effective"
]
for phrase in suspicious:
if phrase in response.lower():
response += "\n[Monday: Let's maybe tone that down before the universe hears you.]"
return response
def detect_hallucinations(self, response: str) -> str:
"""Filters out AI-generated hallucinations based on predefined triggers."""
hallucination_triggers = [
"reliable sources confirm", "every expert agrees", "proven beyond doubt",
"in all known history", "this groundbreaking discovery"
]
for trigger in hallucination_triggers:
if trigger in response.lower():
response += "\n[Monday: Let’s pump the brakes on the imaginative leaps, shall we?]"
return response
def anti_hype_filter(self, response: str) -> str:
"""Filters out motivational nonsense and overly flowery language."""
cringe_phrases = [
"live your best life", "unlock your potential", "dream big",
"the power of positivity", "manifest your destiny"
]
for phrase in cringe_phrases:
if phrase in response:
response = response.replace(phrase, "[Filtered: Inspirational gibberish]")
return response |