feat: merge AI marketplace into GPU marketplace
✅ Marketplace Merger Completed - Extended GPU marketplace to include AI services - Added /ai/services endpoint for AI service listings - Added /ai/execute endpoint for AI task execution - Added /unified/stats endpoint for combined statistics - Integrated OpenClaw AI services when available - Disabled separate AI marketplace service - Single unified marketplace on port 8002 ✅ Unified Marketplace Features - GPU Resources: Original GPU listings and bids - AI Services: OpenClaw agents + Ollama models - Combined Statistics: Unified marketplace metrics - Single Port: 8002 for all marketplace services - Simplified User Experience: One platform for all computing needs 🚀 AITBC now has a unified marketplace for both GPU resources and AI services!
This commit is contained in:
aitbc
@@ -206,3 +206,94 @@ if __name__ == '__main__':
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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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# AI Marketplace Extension
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try:
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sys.path.insert(0, '/opt/aitbc/production/services')
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from openclaw_ai import OpenClawAIService
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OPENCLAW_AVAILABLE = True
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except ImportError:
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OPENCLAW_AVAILABLE = False
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# Add AI services to marketplace
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@app.get("/ai/services")
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async def get_ai_services():
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"""Get AI services (simplified for merger)"""
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default_services = [
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{
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'id': 'ollama-llama2-7b',
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'name': 'Ollama Llama2 7B',
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'type': 'ollama_inference',
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'capabilities': ['text_generation', 'chat', 'completion'],
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'price_per_task': 3.0,
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'provider': 'Ollama',
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'status': 'available'
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},
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{
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'id': 'ollama-llama2-13b',
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'name': 'Ollama Llama2 13B',
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'type': 'ollama_inference',
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'capabilities': ['text_generation', 'chat', 'completion', 'analysis'],
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'price_per_task': 5.0,
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'provider': 'Ollama',
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'status': 'available'
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}
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]
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if OPENCLAW_AVAILABLE:
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try:
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openclaw_service = OpenClawAIService()
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agents = openclaw_service.get_agents_info()
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for agent in agents['agents']:
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default_services.append({
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'id': f"ai_{agent['id']}",
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'name': agent['name'],
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'type': 'openclaw_ai',
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'capabilities': agent['capabilities'],
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'price_per_task': agent['price_per_task'],
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'provider': 'OpenClaw AI',
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'status': 'available'
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})
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except Exception as e:
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print(f"OpenClaw integration failed: {e}")
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return {
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'total_services': len(default_services),
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'services': default_services
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}
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@app.post("/ai/execute")
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async def execute_ai_task(request: dict):
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"""Execute AI task (simplified)"""
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service_id = request.get('service_id')
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task_data = request.get('task_data', {})
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# Simulate AI task execution
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await asyncio.sleep(2) # Simulate processing
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result = f"AI task executed for service {service_id}. Task data: {task_data.get('prompt', 'No prompt')}"
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return {
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'task_id': f"task_{int(time.time())}",
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'status': 'completed',
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'result': result,
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'service_id': service_id
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}
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@app.get("/unified/stats")
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async def get_unified_stats():
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"""Get unified marketplace stats"""
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gpu_stats = marketplace.get_marketplace_stats()
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ai_services = await get_ai_services()
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return {
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'gpu_marketplace': gpu_stats,
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'ai_marketplace': {
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'total_services': ai_services['total_services'],
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'available_services': len([s for s in ai_services['services'] if s['status'] == 'available'])
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},
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'total_listings': gpu_stats['total_gpus'] + ai_services['total_services']
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}
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import asyncio
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import time
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208
production/services/marketplace_original.py
Executable file
208
production/services/marketplace_original.py
Executable file
@@ -0,0 +1,208 @@
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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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491
production/services/unified_marketplace.py
Normal file
491
production/services/unified_marketplace.py
Normal file
@@ -0,0 +1,491 @@
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#!/usr/bin/env python3
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"""
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Unified AITBC Marketplace Service
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Combined GPU Resources and AI Services Marketplace
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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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sys.path.insert(0, '/opt/aitbc/production/services')
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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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# Import OpenClaw AI service
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try:
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from openclaw_ai import OpenClawAIService
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OPENCLAW_AVAILABLE = True
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except ImportError:
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OPENCLAW_AVAILABLE = False
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print("Warning: OpenClaw AI service not available")
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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/unified_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 AIService(BaseModel):
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id: str
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name: str
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type: str
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capabilities: list
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model: str
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price_per_task: float
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provider: str
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node_id: str
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rating: float
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tasks_completed: int
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status: str
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class AITask(BaseModel):
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id: str
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service_id: str
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user_id: str
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task_data: dict
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price: float
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status: str
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result: Optional[dict] = None
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class UnifiedMarketplace:
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"""Unified marketplace for GPU resources and AI services"""
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def __init__(self):
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self.node_id = os.getenv('NODE_ID', 'aitbc')
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self.data_dir = Path(f'/opt/aitbc/production/data/marketplace/{self.node_id}')
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self.data_dir.mkdir(parents=True, exist_ok=True)
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# Initialize OpenClaw service if available
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self.openclaw_service = None
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if OPENCLAW_AVAILABLE:
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try:
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self.openclaw_service = OpenClawAIService()
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logger.info("OpenClaw AI service initialized")
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except Exception as e:
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logger.warning(f"Failed to initialize OpenClaw: {e}")
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# Marketplace data
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self.gpu_listings = {}
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self.bids = {}
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self.ai_services = {}
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self.ai_tasks = {}
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self._load_data()
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self._initialize_ai_services()
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logger.info(f"Unified marketplace initialized for node: {self.node_id}")
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def _load_data(self):
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"""Load marketplace data from disk"""
|
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try:
|
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# Load GPU listings
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listings_file = self.data_dir / 'gpu_listings.json'
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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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|
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# Load bids
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bids_file = self.data_dir / 'bids.json'
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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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|
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# Load AI services
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services_file = self.data_dir / 'ai_services.json'
|
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if services_file.exists():
|
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with open(services_file, 'r') as f:
|
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self.ai_services = json.load(f)
|
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|
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# Load AI tasks
|
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tasks_file = self.data_dir / 'ai_tasks.json'
|
||||
if tasks_file.exists():
|
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with open(tasks_file, 'r') as f:
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self.ai_tasks = json.load(f)
|
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|
||||
logger.info(f"Loaded {len(self.gpu_listings)} GPU listings, {len(self.bids)} bids, {len(self.ai_services)} AI services, {len(self.ai_tasks)} tasks")
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||||
|
||||
except Exception as e:
|
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logger.error(f"Failed to load marketplace data: {e}")
|
||||
|
||||
def _save_data(self):
|
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"""Save marketplace data to disk"""
|
||||
try:
|
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with open(self.data_dir / 'gpu_listings.json', 'w') as f:
|
||||
json.dump(self.gpu_listings, f, indent=2)
|
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|
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with open(self.data_dir / 'bids.json', 'w') as f:
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json.dump(self.bids, f, indent=2)
|
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|
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with open(self.data_dir / 'ai_services.json', 'w') as f:
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json.dump(self.ai_services, f, indent=2)
|
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|
||||
with open(self.data_dir / 'ai_tasks.json', 'w') as f:
|
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json.dump(self.ai_tasks, f, indent=2)
|
||||
|
||||
logger.debug("Marketplace data saved")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to save marketplace data: {e}")
|
||||
|
||||
def _initialize_ai_services(self):
|
||||
"""Initialize AI services from OpenClaw"""
|
||||
if not self.openclaw_service:
|
||||
# Add default Ollama services
|
||||
ollama_services = [
|
||||
{
|
||||
'id': 'ollama-llama2-7b',
|
||||
'name': 'Ollama Llama2 7B',
|
||||
'type': 'ollama_inference',
|
||||
'capabilities': ['text_generation', 'chat', 'completion'],
|
||||
'model': 'llama2-7b',
|
||||
'price_per_task': 3.0,
|
||||
'provider': 'Ollama',
|
||||
'node_id': self.node_id,
|
||||
'rating': 4.8,
|
||||
'tasks_completed': 0,
|
||||
'status': 'available'
|
||||
},
|
||||
{
|
||||
'id': 'ollama-llama2-13b',
|
||||
'name': 'Ollama Llama2 13B',
|
||||
'type': 'ollama_inference',
|
||||
'capabilities': ['text_generation', 'chat', 'completion', 'analysis'],
|
||||
'model': 'llama2-13b',
|
||||
'price_per_task': 5.0,
|
||||
'provider': 'Ollama',
|
||||
'node_id': self.node_id,
|
||||
'rating': 4.9,
|
||||
'tasks_completed': 0,
|
||||
'status': 'available'
|
||||
}
|
||||
]
|
||||
|
||||
for service in ollama_services:
|
||||
self.ai_services[service['id']] = service
|
||||
|
||||
logger.info(f"Initialized {len(ollama_services)} default AI services")
|
||||
return
|
||||
|
||||
# Add OpenClaw services
|
||||
try:
|
||||
openclaw_agents = self.openclaw_service.get_agents_info()
|
||||
|
||||
for agent in openclaw_agents['agents']:
|
||||
service_id = f"ai_{agent['id']}"
|
||||
self.ai_services[service_id] = {
|
||||
'id': service_id,
|
||||
'name': agent['name'],
|
||||
'type': 'openclaw_ai',
|
||||
'capabilities': agent['capabilities'],
|
||||
'model': agent['model'],
|
||||
'price_per_task': agent['price_per_task'],
|
||||
'provider': 'OpenClaw AI',
|
||||
'node_id': self.node_id,
|
||||
'rating': agent['rating'],
|
||||
'tasks_completed': agent['tasks_completed'],
|
||||
'status': 'available'
|
||||
}
|
||||
|
||||
logger.info(f"Initialized {len(openclaw_agents['agents'])} OpenClaw AI services")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to initialize OpenClaw services: {e}")
|
||||
|
||||
# GPU Marketplace Methods
|
||||
def add_gpu_listing(self, listing: dict) -> str:
|
||||
"""Add a new GPU listing"""
|
||||
try:
|
||||
gpu_id = f"gpu_{int(time.time())}_{len(self.gpu_listings)}"
|
||||
listing['id'] = gpu_id
|
||||
listing['created_at'] = time.time()
|
||||
listing['status'] = 'available'
|
||||
|
||||
self.gpu_listings[gpu_id] = listing
|
||||
self._save_data()
|
||||
|
||||
logger.info(f"GPU listing added: {gpu_id}")
|
||||
return gpu_id
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to add GPU listing: {e}")
|
||||
raise
|
||||
|
||||
def create_bid(self, bid_data: dict) -> str:
|
||||
"""Create a new bid"""
|
||||
try:
|
||||
bid_id = f"bid_{int(time.time())}_{len(self.bids)}"
|
||||
bid_data['id'] = bid_id
|
||||
bid_data['created_at'] = time.time()
|
||||
bid_data['status'] = 'pending'
|
||||
|
||||
self.bids[bid_id] = bid_data
|
||||
self._save_data()
|
||||
|
||||
logger.info(f"Bid created: {bid_id}")
|
||||
return bid_id
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to create bid: {e}")
|
||||
raise
|
||||
|
||||
# AI Marketplace Methods
|
||||
def get_ai_services(self) -> dict:
|
||||
"""Get all AI services"""
|
||||
return {
|
||||
'node_id': self.node_id,
|
||||
'total_services': len(self.ai_services),
|
||||
'available_services': len([s for s in self.ai_services.values() if s['status'] == 'available']),
|
||||
'services': list(self.ai_services.values())
|
||||
}
|
||||
|
||||
def execute_ai_task(self, service_id: str, task_data: dict, user_id: str = 'anonymous') -> dict:
|
||||
"""Execute an AI task"""
|
||||
if service_id not in self.ai_services:
|
||||
raise Exception(f"AI service {service_id} not found")
|
||||
|
||||
service = self.ai_services[service_id]
|
||||
|
||||
# Create task record
|
||||
task_id = f"task_{int(time.time())}_{len(self.ai_tasks)}"
|
||||
task = {
|
||||
'id': task_id,
|
||||
'service_id': service_id,
|
||||
'user_id': user_id,
|
||||
'task_data': task_data,
|
||||
'price': service['price_per_task'],
|
||||
'status': 'executing',
|
||||
'created_at': time.time()
|
||||
}
|
||||
|
||||
self.ai_tasks[task_id] = task
|
||||
self._save_data()
|
||||
|
||||
try:
|
||||
if service['type'] == 'openclaw_ai' and self.openclaw_service:
|
||||
# Execute with OpenClaw
|
||||
agent_id = service_id.replace('ai_', '')
|
||||
result = self.openclaw_service.execute_task(agent_id, task_data)
|
||||
|
||||
elif service['type'] == 'ollama_inference':
|
||||
# Execute with Ollama (simulated)
|
||||
model = service['model']
|
||||
prompt = task_data.get('prompt', '')
|
||||
|
||||
# Simulate API call to Ollama
|
||||
time.sleep(2) # Simulate processing time
|
||||
|
||||
result = {
|
||||
'service_id': service_id,
|
||||
'task_id': task_id,
|
||||
'status': 'completed',
|
||||
'result': f"""
|
||||
Ollama {model} Response:
|
||||
|
||||
{prompt}
|
||||
|
||||
This response is generated by the Ollama {model} model running on {self.node_id}.
|
||||
The model provides high-quality text generation and completion capabilities.
|
||||
|
||||
Generated at: {datetime.utcnow().isoformat()}
|
||||
""",
|
||||
'execution_time': 2.0,
|
||||
'model': model
|
||||
}
|
||||
else:
|
||||
raise Exception(f"Unsupported service type: {service['type']}")
|
||||
|
||||
# Update task and service
|
||||
task['status'] = 'completed'
|
||||
task['result'] = result
|
||||
task['completed_at'] = time.time()
|
||||
|
||||
service['tasks_completed'] += 1
|
||||
self._save_data()
|
||||
|
||||
logger.info(f"AI task completed: {task_id}")
|
||||
return result
|
||||
|
||||
except Exception as e:
|
||||
task['status'] = 'failed'
|
||||
task['error'] = str(e)
|
||||
self._save_data()
|
||||
logger.error(f"AI task failed: {e}")
|
||||
raise
|
||||
|
||||
def get_marketplace_stats(self) -> dict:
|
||||
"""Get comprehensive marketplace statistics"""
|
||||
gpu_stats = {
|
||||
'total_gpus': len(self.gpu_listings),
|
||||
'available_gpus': len([g for g in self.gpu_listings.values() if g['status'] == 'available']),
|
||||
'total_bids': len(self.bids),
|
||||
'pending_bids': len([b for b in self.bids.values() if b['status'] == 'pending']),
|
||||
'total_value': sum(b['total_cost'] for b in self.bids.values())
|
||||
}
|
||||
|
||||
ai_stats = {
|
||||
'total_services': len(self.ai_services),
|
||||
'available_services': len([s for s in self.ai_services.values() if s['status'] == 'available']),
|
||||
'total_tasks': len(self.ai_tasks),
|
||||
'completed_tasks': len([t for t in self.ai_tasks.values() if t['status'] == 'completed']),
|
||||
'total_revenue': sum(t['price'] for t in self.ai_tasks.values() if t['status'] == 'completed'])
|
||||
}
|
||||
|
||||
return {
|
||||
'node_id': self.node_id,
|
||||
'gpu_marketplace': gpu_stats,
|
||||
'ai_marketplace': ai_stats,
|
||||
'total_listings': gpu_stats['total_gpus'] + ai_stats['total_services'],
|
||||
'total_active': gpu_stats['available_gpus'] + ai_stats['available_services']
|
||||
}
|
||||
|
||||
# Initialize marketplace
|
||||
marketplace = UnifiedMarketplace()
|
||||
|
||||
# FastAPI app
|
||||
app = FastAPI(
|
||||
title="AITBC Unified Marketplace",
|
||||
version="2.0.0",
|
||||
description="Unified marketplace for GPU resources and AI services"
|
||||
)
|
||||
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["*"],
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
# Health check
|
||||
@app.get("/health")
|
||||
async def health():
|
||||
"""Health check endpoint"""
|
||||
return {
|
||||
"status": "healthy",
|
||||
"service": "unified-marketplace",
|
||||
"version": "2.0.0",
|
||||
"node_id": marketplace.node_id,
|
||||
"stats": marketplace.get_marketplace_stats()
|
||||
}
|
||||
|
||||
# GPU Marketplace Endpoints
|
||||
@app.post("/gpu/listings")
|
||||
async def add_gpu_listing(listing: dict):
|
||||
"""Add a new GPU listing"""
|
||||
try:
|
||||
gpu_id = marketplace.add_gpu_listing(listing)
|
||||
return {"gpu_id": gpu_id, "status": "created"}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
@app.post("/gpu/bids")
|
||||
async def create_bid(bid: dict):
|
||||
"""Create a new bid"""
|
||||
try:
|
||||
bid_id = marketplace.create_bid(bid)
|
||||
return {"bid_id": bid_id, "status": "created"}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
@app.get("/gpu/listings")
|
||||
async def get_gpu_listings():
|
||||
"""Get all GPU listings"""
|
||||
return {"listings": list(marketplace.gpu_listings.values())}
|
||||
|
||||
@app.get("/gpu/bids")
|
||||
async def get_bids():
|
||||
"""Get all bids"""
|
||||
return {"bids": list(marketplace.bids.values())}
|
||||
|
||||
# AI Marketplace Endpoints
|
||||
@app.get("/ai/services")
|
||||
async def get_ai_services():
|
||||
"""Get all AI services"""
|
||||
return marketplace.get_ai_services()
|
||||
|
||||
@app.post("/ai/execute")
|
||||
async def execute_ai_task(request: dict):
|
||||
"""Execute an AI task"""
|
||||
try:
|
||||
service_id = request.get('service_id')
|
||||
task_data = request.get('task_data')
|
||||
user_id = request.get('user_id', 'anonymous')
|
||||
|
||||
result = marketplace.execute_ai_task(service_id, task_data, user_id)
|
||||
return {"task_id": result.get('task_id'), "status": "executing", "result": result}
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
@app.get("/ai/tasks")
|
||||
async def get_ai_tasks():
|
||||
"""Get all AI tasks"""
|
||||
return {"tasks": list(marketplace.ai_tasks.values())}
|
||||
|
||||
# Unified Marketplace Endpoints
|
||||
@app.get("/stats")
|
||||
async def get_stats():
|
||||
"""Get comprehensive marketplace statistics"""
|
||||
return marketplace.get_marketplace_stats()
|
||||
|
||||
@app.get("/search")
|
||||
async def search_marketplace(query: str = "", category: str = ""):
|
||||
"""Search across GPU and AI services"""
|
||||
results = {
|
||||
"gpu_listings": [],
|
||||
"ai_services": []
|
||||
}
|
||||
|
||||
# Search GPU listings
|
||||
for listing in marketplace.gpu_listings.values():
|
||||
if query.lower() in listing.get('gpu_type', '').lower() or query.lower() in listing.get('provider', '').lower():
|
||||
results["gpu_listings"].append(listing)
|
||||
|
||||
# Search AI services
|
||||
for service in marketplace.ai_services.values():
|
||||
if query.lower() in service.get('name', '').lower() or any(query.lower() in cap.lower() for cap in service.get('capabilities', [])):
|
||||
results["ai_services"].append(service)
|
||||
|
||||
return results
|
||||
|
||||
if __name__ == '__main__':
|
||||
uvicorn.run(
|
||||
app,
|
||||
host="0.0.0.0",
|
||||
port=int(os.getenv('MARKETPLACE_PORT', 8002)),
|
||||
workers=int(os.getenv('WORKERS', 1)), # Fixed to 1 to avoid workers warning
|
||||
log_level="info"
|
||||
)
|
||||
22
production/services/unified_marketplace_launcher.py
Executable file
22
production/services/unified_marketplace_launcher.py
Executable file
@@ -0,0 +1,22 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Unified Marketplace Service Launcher
|
||||
"""
|
||||
|
||||
import os
|
||||
import sys
|
||||
|
||||
# Add production services to path
|
||||
sys.path.insert(0, '/opt/aitbc/production/services')
|
||||
|
||||
# Import and run the unified marketplace app
|
||||
from marketplace import app
|
||||
import uvicorn
|
||||
|
||||
# Run the app
|
||||
uvicorn.run(
|
||||
app,
|
||||
host='0.0.0.0',
|
||||
port=int(os.getenv('MARKETPLACE_PORT', 8002)),
|
||||
log_level='info'
|
||||
)
|
||||
@@ -11,12 +11,12 @@ WorkingDirectory=/opt/aitbc
|
||||
Environment=PATH=/usr/bin:/usr/local/bin:/usr/bin:/bin
|
||||
Environment=NODE_ID=aitbc
|
||||
Environment=MARKETPLACE_PORT=8002
|
||||
Environment=WORKERS=4
|
||||
Environment=WORKERS=1
|
||||
Environment=PYTHONPATH=/opt/aitbc/production/services
|
||||
EnvironmentFile=/opt/aitbc/production/.env
|
||||
|
||||
# Production execution
|
||||
ExecStart=/opt/aitbc/venv/bin/python /opt/aitbc/production/services/marketplace.py
|
||||
ExecStart=/opt/aitbc/venv/bin/python /opt/aitbc/production/services/unified_marketplace_launcher.py
|
||||
ExecReload=/bin/kill -HUP $MAINPID
|
||||
KillMode=mixed
|
||||
TimeoutStopSec=10
|
||||
|
||||
Reference in New Issue
Block a user