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Create federated_learning.py
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components/CodriaoCore/federated_learning.py
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import random
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import datetime
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from components.sentiment_analysis import EnhancedSentimentAnalyzer
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from components.real_time_data import RealTimeDataIntegrator
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from components.self_improving_ai import SelfImprovingAI
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class FederatedAI:
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"""
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Real federated AI aggregator using sentiment, real-time data, and self-improvement feedback loops.
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"""
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def __init__(self):
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self.nodes = {
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"sentiment_node": EnhancedSentimentAnalyzer(),
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"realtime_node": RealTimeDataIntegrator(),
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"self_reflect_node": SelfImprovingAI()
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}
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self.last_feedback_log = []
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async def get_latest_data(self) -> dict:
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"""
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Perform distributed AI analysis from multiple perspectives.
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"""
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sentiment_result = self.nodes["sentiment_node"].detailed_analysis(
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"Global mental health patterns show growing concern in post-COVID behavior."
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)
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try:
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realtime_data = await self.nodes["realtime_node"].fetch_and_integrate([
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"https://api.coindesk.com/v1/bpi/currentprice.json",
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"https://api.exchangerate-api.com/v4/latest/USD"
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])
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except Exception as e:
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realtime_data = {"error": str(e)}
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feedback = random.choice([
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"Response missed cultural context.",
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"Model adaptation needed.",
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"Excellent contextual interpretation.",
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"Too generic, lacking actionable advice."
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])
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self.nodes["self_reflect_node"].improve(feedback)
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self.last_feedback_log.append(feedback)
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return {
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"federated_summary": {
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"timestamp": datetime.datetime.utcnow().isoformat(),
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"sentiment_insight": sentiment_result,
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"real_time_data": realtime_data,
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"last_feedback": feedback,
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"feedback_history": self.last_feedback_log[-3:] # keep recent 3
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}
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}
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