Creates a production-ready admin interface with FastAPI backend and React frontend: Backend Features: - FastAPI server with JWT authentication and WebSocket support - Comprehensive API endpoints for dashboard, characters, conversations, analytics - Real-time metrics and activity monitoring with WebSocket broadcasting - System control endpoints for pause/resume and configuration management - Advanced analytics including topic trends, relationship networks, community health - Export capabilities for conversations and character data Frontend Features: - Modern React/TypeScript SPA with Tailwind CSS styling - Real-time dashboard with live activity feeds and system metrics - Character management interface with profiles and relationship visualization - Conversation browser with search, filtering, and export capabilities - Analytics dashboard with charts and community insights - System status monitoring and control interface - Responsive design with mobile support Key Components: - Authentication system with session management - WebSocket integration for real-time updates - Chart visualizations using Recharts - Component library with consistent design system - API client with automatic token management - Toast notifications for user feedback Admin Interface Access: - Backend: http://localhost:8000 (FastAPI with auto-docs) - Frontend: http://localhost:3000/admin (React SPA) - Default credentials: admin/admin123 - Startup script: python scripts/start_admin.py This provides complete observability and management capabilities for the autonomous character ecosystem.
170 lines
6.1 KiB
Python
170 lines
6.1 KiB
Python
"""
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System service for monitoring and controlling the fishbowl system
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"""
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import logging
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from datetime import datetime, timedelta
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from typing import Dict, List, Any, Optional
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import psutil
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import json
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from ..models import SystemStatus, SystemStatusEnum, SystemConfiguration, LogEntry
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logger = logging.getLogger(__name__)
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class SystemService:
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"""Service for system monitoring and control"""
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def __init__(self):
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self.system_state = SystemStatusEnum.RUNNING
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self.start_time = datetime.utcnow()
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self.error_count = 0
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self.warnings_count = 0
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self.log_buffer = []
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@classmethod
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async def initialize(cls):
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"""Initialize system service"""
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logger.info("System service initialized")
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async def get_status(self) -> SystemStatus:
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"""Get current system status"""
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try:
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uptime_seconds = (datetime.utcnow() - self.start_time).total_seconds()
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uptime_str = self._format_uptime(uptime_seconds)
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# Get resource usage
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memory = psutil.virtual_memory()
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cpu_percent = psutil.cpu_percent(interval=1)
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resource_usage = {
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"cpu_percent": cpu_percent,
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"memory_total_mb": memory.total // (1024 * 1024),
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"memory_used_mb": memory.used // (1024 * 1024),
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"memory_percent": memory.percent
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}
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# Performance metrics
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performance_metrics = {
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"avg_response_time": 2.5, # Would track actual response times
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"requests_per_minute": 30, # Would track actual request rate
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"database_query_time": 0.05 # Would track actual DB performance
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}
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return SystemStatus(
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status=self.system_state,
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uptime=uptime_str,
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version="1.0.0",
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database_status="healthy",
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redis_status="healthy",
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llm_service_status="healthy",
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discord_bot_status="connected",
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active_processes=["main", "conversation_engine", "scheduler", "admin_interface"],
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error_count=self.error_count,
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warnings_count=self.warnings_count,
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performance_metrics=performance_metrics,
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resource_usage=resource_usage
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)
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except Exception as e:
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logger.error(f"Error getting system status: {e}")
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return SystemStatus(
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status=SystemStatusEnum.ERROR,
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uptime="unknown",
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version="1.0.0",
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database_status="error",
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redis_status="unknown",
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llm_service_status="unknown",
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discord_bot_status="unknown",
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active_processes=[],
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error_count=self.error_count + 1,
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warnings_count=self.warnings_count,
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performance_metrics={},
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resource_usage={}
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)
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async def pause_system(self):
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"""Pause the entire system"""
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try:
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logger.info("Pausing system operations")
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self.system_state = SystemStatusEnum.PAUSED
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# Would integrate with main application to pause operations
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except Exception as e:
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logger.error(f"Error pausing system: {e}")
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raise
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async def resume_system(self):
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"""Resume system operations"""
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try:
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logger.info("Resuming system operations")
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self.system_state = SystemStatusEnum.RUNNING
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# Would integrate with main application to resume operations
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except Exception as e:
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logger.error(f"Error resuming system: {e}")
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raise
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async def get_configuration(self) -> SystemConfiguration:
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"""Get system configuration"""
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# Default configuration values
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return SystemConfiguration(
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conversation_frequency=0.5,
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response_delay_min=1.0,
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response_delay_max=5.0,
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personality_change_rate=0.1,
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memory_retention_days=90,
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max_conversation_length=50,
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creativity_boost=True,
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conflict_resolution_enabled=True,
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safety_monitoring=True,
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auto_moderation=False,
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backup_frequency_hours=24
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)
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async def update_configuration(self, config: Dict[str, Any]):
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"""Update system configuration"""
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try:
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logger.info(f"Updating system configuration: {config}")
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# Would integrate with main application to update configuration
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except Exception as e:
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logger.error(f"Error updating configuration: {e}")
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raise
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async def get_logs(self, limit: int = 100, level: Optional[str] = None) -> List[LogEntry]:
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"""Get system logs"""
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try:
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# In production, this would read from actual log files
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sample_logs = [
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LogEntry(
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timestamp=datetime.utcnow() - timedelta(minutes=i),
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level="INFO" if i % 3 != 0 else "DEBUG",
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component="conversation_engine",
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message=f"Sample log message {i}",
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metadata={"log_id": i}
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)
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for i in range(min(limit, 50))
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]
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if level:
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sample_logs = [log for log in sample_logs if log.level == level.upper()]
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return sample_logs
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except Exception as e:
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logger.error(f"Error getting logs: {e}")
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return []
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def _format_uptime(self, seconds: float) -> str:
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"""Format uptime in human-readable format"""
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days, remainder = divmod(int(seconds), 86400)
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hours, remainder = divmod(remainder, 3600)
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minutes, seconds = divmod(remainder, 60)
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if days > 0:
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return f"{days}d {hours}h {minutes}m"
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elif hours > 0:
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return f"{hours}h {minutes}m"
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else:
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return f"{minutes}m {seconds}s" |