feat: upgrade to production-grade systemd services
✅ Production SystemD Services Upgrade - Upgraded existing services instead of creating new ones - Added production-grade configuration with resource limits - Implemented real database persistence and logging - Added production monitoring and health checks ✅ Upgraded Services - aitbc-blockchain-node.service: Production blockchain with persistence - aitbc-marketplace.service: Production marketplace with real data - aitbc-gpu.service: Production GPU marketplace - aitbc-production-monitor.service: Production monitoring ✅ Production Features - Real database persistence (JSON files in /opt/aitbc/production/data/) - Production logging to /opt/aitbc/production/logs/ - Resource limits (memory, CPU, file handles) - Security hardening (NoNewPrivileges, ProtectSystem) - Automatic restart and recovery - Multi-node deployment (aitbc + aitbc1) ✅ Service Endpoints - aitbc (localhost): Marketplace (8002), GPU Marketplace (8003) - aitbc1 (remote): Marketplace (8004), GPU Marketplace (8005) ✅ Monitoring - SystemD journal integration - Production logs and metrics - Health check endpoints - Resource utilization monitoring 🚀 AITBC now running production-grade systemd services! Real persistence, monitoring, and multi-node deployment operational.
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aitbc
208
production/services/marketplace.py
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208
production/services/marketplace.py
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#!/usr/bin/env python3
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"""
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Production Marketplace Service
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Real marketplace with database persistence and API
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"""
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import os
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import sys
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import json
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import time
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import logging
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from pathlib import Path
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from datetime import datetime
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from typing import Dict, List, Optional
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sys.path.insert(0, '/opt/aitbc/apps/coordinator-api/src')
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from fastapi import FastAPI, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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import uvicorn
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# Production logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s [%(levelname)s] %(name)s: %(message)s',
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handlers=[
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logging.FileHandler('/opt/aitbc/production/logs/marketplace/marketplace.log'),
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logging.StreamHandler()
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]
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)
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logger = logging.getLogger(__name__)
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# Pydantic models
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class GPUListing(BaseModel):
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id: str
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provider: str
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gpu_type: str
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memory_gb: int
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price_per_hour: float
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status: str
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specs: dict
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class Bid(BaseModel):
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id: str
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gpu_id: str
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agent_id: str
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bid_price: float
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duration_hours: int
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total_cost: float
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status: str
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class ProductionMarketplace:
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"""Production-grade marketplace with persistence"""
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def __init__(self):
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self.data_dir = Path('/opt/aitbc/production/data/marketplace')
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self.data_dir.mkdir(parents=True, exist_ok=True)
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# Load existing data
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self._load_data()
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logger.info("Production marketplace initialized")
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def _load_data(self):
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"""Load marketplace data from disk"""
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self.gpu_listings = {}
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self.bids = {}
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listings_file = self.data_dir / 'gpu_listings.json'
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bids_file = self.data_dir / 'bids.json'
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try:
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if listings_file.exists():
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with open(listings_file, 'r') as f:
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self.gpu_listings = json.load(f)
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if bids_file.exists():
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with open(bids_file, 'r') as f:
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self.bids = json.load(f)
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logger.info(f"Loaded {len(self.gpu_listings)} GPU listings and {len(self.bids)} bids")
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except Exception as e:
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logger.error(f"Failed to load marketplace data: {e}")
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def _save_data(self):
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"""Save marketplace data to disk"""
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try:
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listings_file = self.data_dir / 'gpu_listings.json'
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bids_file = self.data_dir / 'bids.json'
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with open(listings_file, 'w') as f:
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json.dump(self.gpu_listings, f, indent=2)
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with open(bids_file, 'w') as f:
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json.dump(self.bids, f, indent=2)
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logger.debug("Marketplace data saved")
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except Exception as e:
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logger.error(f"Failed to save marketplace data: {e}")
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def add_gpu_listing(self, listing: dict) -> str:
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"""Add a new GPU listing"""
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try:
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gpu_id = f"gpu_{int(time.time())}_{len(self.gpu_listings)}"
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listing['id'] = gpu_id
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listing['created_at'] = time.time()
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listing['status'] = 'available'
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self.gpu_listings[gpu_id] = listing
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self._save_data()
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logger.info(f"GPU listing added: {gpu_id}")
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return gpu_id
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except Exception as e:
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logger.error(f"Failed to add GPU listing: {e}")
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raise
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def create_bid(self, bid_data: dict) -> str:
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"""Create a new bid"""
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try:
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bid_id = f"bid_{int(time.time())}_{len(self.bids)}"
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bid_data['id'] = bid_id
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bid_data['created_at'] = time.time()
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bid_data['status'] = 'pending'
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self.bids[bid_id] = bid_data
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self._save_data()
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logger.info(f"Bid created: {bid_id}")
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return bid_id
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except Exception as e:
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logger.error(f"Failed to create bid: {e}")
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raise
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def get_marketplace_stats(self) -> dict:
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"""Get marketplace statistics"""
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return {
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'total_gpus': len(self.gpu_listings),
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'available_gpus': len([g for g in self.gpu_listings.values() if g['status'] == 'available']),
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'total_bids': len(self.bids),
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'pending_bids': len([b for b in self.bids.values() if b['status'] == 'pending']),
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'total_value': sum(b['total_cost'] for b in self.bids.values())
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}
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# Initialize marketplace
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marketplace = ProductionMarketplace()
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# FastAPI app
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app = FastAPI(
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title="AITBC Production Marketplace",
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version="1.0.0",
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description="Production-grade GPU marketplace"
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)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["GET", "POST", "PUT", "DELETE"],
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allow_headers=["*"],
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)
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@app.get("/health")
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async def health():
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"""Health check endpoint"""
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return {
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"status": "healthy",
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"service": "production-marketplace",
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"timestamp": datetime.utcnow().isoformat(),
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"stats": marketplace.get_marketplace_stats()
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}
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@app.post("/gpu/listings")
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async def add_gpu_listing(listing: dict):
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"""Add a new GPU listing"""
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try:
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gpu_id = marketplace.add_gpu_listing(listing)
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return {"gpu_id": gpu_id, "status": "created"}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@app.post("/bids")
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async def create_bid(bid: dict):
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"""Create a new bid"""
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try:
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bid_id = marketplace.create_bid(bid)
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return {"bid_id": bid_id, "status": "created"}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@app.get("/stats")
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async def get_stats():
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"""Get marketplace statistics"""
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return marketplace.get_marketplace_stats()
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if __name__ == '__main__':
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uvicorn.run(
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app,
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host="0.0.0.0",
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port=int(os.getenv('MARKETPLACE_PORT', 8002)),
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workers=int(os.getenv('WORKERS', 4)),
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log_level="info"
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)
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