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| """Simplified AI core system | |
| This module provides a compact, dependency-safe `AICore` used across the | |
| project. The original file contained duplicated content and heavy | |
| dependencies; this replacement offers a minimal, testable interface. | |
| """ | |
| from typing import Any, Dict, List, Optional | |
| import asyncio | |
| import json | |
| import logging | |
| import os | |
| from .multimodal_analyzer import MultimodalAnalyzer | |
| from .dynamic_learning import DynamicLearner | |
| from .health_monitor import HealthMonitor | |
| try: | |
| from ..utils.logger import logger | |
| except Exception: | |
| logger = logging.getLogger(__name__) | |
| class AICore: | |
| """Minimal, safe AICore for system integration and testing.""" | |
| def __init__(self, config_path: str = "config/ai_assistant_config.json"): | |
| self.config = self._load_config(config_path) | |
| self.multimodal = MultimodalAnalyzer() | |
| self.learner = DynamicLearner() | |
| self.health = HealthMonitor() | |
| self._initialized = False | |
| def _load_config(self, path: str) -> Dict[str, Any]: | |
| if not path or not os.path.exists(path): | |
| return {} | |
| try: | |
| with open(path, "r", encoding="utf-8") as f: | |
| return json.load(f) | |
| except Exception: | |
| return {} | |
| async def initialize(self) -> bool: | |
| try: | |
| ok = await self.health.initialize() | |
| self._initialized = ok | |
| return ok | |
| except Exception as e: | |
| logger.exception("Failed to initialize AICore: %s", e) | |
| return False | |
| async def generate_response(self, user_id: int, query: str, multimodal_input: Optional[Dict[str, Any]] = None) -> Dict[str, Any]: | |
| try: | |
| analyses = self.multimodal.analyze_content(multimodal_input or {}) if multimodal_input else {} | |
| summary = analyses.get("text", {}).get("word_count") if analyses else None | |
| adaptation_score = self.learner.update({"user_id": user_id, "query": query, "summary_word_count": summary}) | |
| health_status = self.health.get_health_summary() | |
| response_text = f"OK. Adaptation={adaptation_score:.2f}." | |
| return {"response": response_text, "analysis": analyses, "adaptation_score": adaptation_score, "health": health_status} | |
| except Exception as e: | |
| logger.exception("generate_response failed: %s", e) | |
| return {"error": "internal_error", "detail": str(e)} | |
| async def shutdown(self): | |
| await asyncio.sleep(0) | |
| if __name__ == "__main__": | |
| async def _test(): | |
| core = AICore() | |
| await core.initialize() | |
| out = await core.generate_response(1, "Hello from core", {"text": "Hello"}) | |
| print(out) | |
| await core.shutdown() | |
| asyncio.run(_test()) | |