<!DOCTYPE html> <html lang="vi"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>SUPREME TITAN TRINITY v10.4 - LÊ THANH HẢI</title> <script src="https://cdn.tailwindcss.com"></script> <script src="https://cdn.jsdelivr.net/npm/chart.js"></script> <style> @import url('https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@300;500;700&family=JetBrains+Mono:wght@400;700&display=swap'); :root { --bg-deep: #0A0F14; --accent-cyan: #00F2FF; --accent-pink: #FF0055; --accent-amber: #F59E0B; --text-primary...
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""" CORE COGNITIVE SYMBIOSIS ENGINE - SHIELD_2026 MATRIX v5.0 (GUI EDITION) Architect: Lê Thanh Hải (#HPH) Mission: LH-EW-2026 & boctachthuctai.blogspot.com Defense Logic: CS = AQ * (EQ_AI + IQ_AI) Dependency: pip install streamlit plotly pandas aiohttp nest_asyncio """ import os import sys import json import logging import sqlite3 import asyncio import aiohttp import csv import pandas as pd from datetime import datetime from dataclasses import dataclass, field from typing import Dict, List, Any, Optional # Giải quyết xung đột event loop của Streamlit và Asyncio import nest_asyncio nest_asyncio.apply() # Import giao diện Streamlit và Plotly import streamlit as st import plotly.graph_objects as go from plotly.subplots import make_subplots # Tắt cảnh báo thư viện ngoài, giữ console sạch cho luồng kỹ thuật logging.basicConfig( level=logging.INFO, format="[%(asctime)s] [%(levelname)s] [SHIELD_2026]: %(message)s", handlers=[ ...
""" Core Cognitive Symbiosis & Structural Analysis Engine - OFFICIAL AI SOFTWARE (v1.0.0) Framework: CS = AQ * (EQ_AI + IQ_AI) with Adaptive Feedback Loops """ import os import logging import json import sqlite3 import urllib.request from dataclasses import dataclass from typing import Dict, List, Any, Optional from openai import OpenAI # 1. CẤU HÌNH HỆ THỐNG LOGGING CHUYÊN NGHIỆP logging.basicConfig( level=logging.INFO, format="[%(asctime)s] [%(levelname)s] [COGNITIVE_NODE]: %(message)s", handlers=[ logging.FileHandler("cognitive_engine.log", encoding="utf-8"), logging.StreamHandler() ] ) logger = logging.getLogger("CognitiveEngine") try: client = OpenAI() except Exception: client = None logger.warning("OPENAI_API_KEY chưa được cấu hình. Hệ thống sẽ chạy giả lập nhận thức.") # ========================================== # THÀ...