```
chore: enhance .gitignore and remove obsolete documentation files - Reorganize .gitignore with categorized sections for better maintainability - Add comprehensive ignore patterns for Python, Node.js, databases, logs, and build artifacts - Add project-specific ignore rules for coordinator, explorer, and deployment files - Remove outdated documentation: BITCOIN-WALLET-SETUP.md, LOCAL_ASSETS_SUMMARY.md, README-CONTAINER-DEPLOYMENT.md, README-DOMAIN-DEPLOYMENT.md ```
This commit is contained in:
oib
181
apps/miner-dashboard/miner_service.py
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181
apps/miner-dashboard/miner_service.py
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#!/usr/bin/env python3
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"""AITBC GPU Mining Service"""
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import subprocess
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import time
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import json
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import random
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from datetime import datetime
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import threading
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class AITBCMiner:
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def __init__(self):
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self.running = False
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self.jobs = []
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self.stats = {
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'total_jobs': 0,
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'completed_jobs': 0,
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'failed_jobs': 0,
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'hash_rate': 0,
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'uptime': 0
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}
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self.start_time = None
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def start_mining(self):
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"""Start the mining service"""
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self.running = True
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self.start_time = time.time()
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print("🚀 AITBC Miner started")
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# Start mining threads
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mining_thread = threading.Thread(target=self._mining_loop)
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mining_thread.daemon = True
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mining_thread.start()
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# Start status monitoring
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monitor_thread = threading.Thread(target=self._monitor_gpu)
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monitor_thread.daemon = True
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monitor_thread.start()
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def stop_mining(self):
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"""Stop the mining service"""
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self.running = False
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print("⛔ AITBC Miner stopped")
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def _mining_loop(self):
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"""Main mining loop"""
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while self.running:
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# Simulate job processing
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if random.random() > 0.7: # 30% chance of new job
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job = self._create_job()
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self.jobs.append(job)
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self._process_job(job)
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time.sleep(1)
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def _create_job(self):
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"""Create a new mining job"""
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job_types = [
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'Matrix Computation',
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'Hash Validation',
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'Block Verification',
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'Transaction Processing',
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'AI Model Training'
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]
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job = {
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'id': f"job_{int(time.time())}_{random.randint(1000, 9999)}",
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'name': random.choice(job_types),
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'progress': 0,
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'status': 'running',
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'created_at': datetime.now().isoformat()
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}
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self.stats['total_jobs'] += 1
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return job
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def _process_job(self, job):
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"""Process a mining job"""
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processing_thread = threading.Thread(target=self._process_job_thread, args=(job,))
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processing_thread.daemon = True
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processing_thread.start()
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def _process_job_thread(self, job):
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"""Process job in separate thread"""
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duration = random.randint(5, 30)
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steps = 20
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for i in range(steps + 1):
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if not self.running:
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break
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job['progress'] = int((i / steps) * 100)
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time.sleep(duration / steps)
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if self.running:
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job['status'] = 'completed' if random.random() > 0.05 else 'failed'
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job['completed_at'] = datetime.now().isoformat()
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if job['status'] == 'completed':
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self.stats['completed_jobs'] += 1
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else:
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self.stats['failed_jobs'] += 1
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def _monitor_gpu(self):
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"""Monitor GPU status"""
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while self.running:
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try:
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# Get GPU utilization
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result = subprocess.run(['nvidia-smi', '--query-gpu=utilization.gpu', '--format=csv,noheader,nounits'],
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capture_output=True, text=True)
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if result.returncode == 0:
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gpu_util = int(result.stdout.strip())
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# Simulate hash rate based on GPU utilization
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self.stats['hash_rate'] = round(gpu_util * 0.5 + random.uniform(-5, 5), 1)
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except Exception as e:
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print(f"GPU monitoring error: {e}")
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self.stats['hash_rate'] = random.uniform(40, 60)
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# Update uptime
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if self.start_time:
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self.stats['uptime'] = int(time.time() - self.start_time)
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time.sleep(2)
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def get_status(self):
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"""Get current mining status"""
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return {
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'running': self.running,
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'stats': self.stats.copy(),
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'active_jobs': [j for j in self.jobs if j['status'] == 'running'],
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'gpu_info': self._get_gpu_info()
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}
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def _get_gpu_info(self):
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"""Get GPU information"""
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try:
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result = subprocess.run(['nvidia-smi', '--query-gpu=name,utilization.gpu,temperature.gpu,power.draw,memory.used,memory.total',
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'--format=csv,noheader,nounits'],
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capture_output=True, text=True)
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if result.returncode == 0:
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values = result.stdout.strip().split(', ')
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return {
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'name': values[0],
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'utilization': int(values[1]),
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'temperature': int(values[2]),
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'power': float(values[3]),
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'memory_used': float(values[4]),
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'memory_total': float(values[5])
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}
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except:
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pass
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return {
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'name': 'NVIDIA GeForce RTX 4060 Ti',
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'utilization': 0,
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'temperature': 43,
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'power': 18,
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'memory_used': 2902,
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'memory_total': 16380
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}
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# Global miner instance
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miner = AITBCMiner()
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if __name__ == "__main__":
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print("AITBC GPU Mining Service")
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print("=" * 40)
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try:
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miner.start_mining()
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# Keep running
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while True:
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time.sleep(10)
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except KeyboardInterrupt:
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print("\nShutting down...")
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miner.stop_mining()
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