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aitbc/apps/agent-services/agent-trading/src/trading_agent.py
aitbc1 3352d63f36
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feat: major infrastructure refactoring and optimization
## 🚀 Central Virtual Environment Implementation
- Created central venv at /opt/aitbc/venv for all services
- Updated 34+ systemd services to use central python interpreter
- Fixed PYTHONPATH configurations for proper module imports
- Created aitbc-env wrapper script for environment management

## 📦 Requirements Management Overhaul
- Consolidated 8 separate requirements.txt files into central requirements.txt
- Added web3>=6.11.0 for blockchain functionality
- Created automated requirements migrator tool (scripts/requirements_migrator.py)
- Established modular requirements structure (requirements-modules/)
- Generated comprehensive migration reports and documentation

## 🔧 Service Configuration Fixes
- Fixed Adaptive Learning service domain imports (AgentStatus)
- Resolved logging conflicts in zk_proofs and adaptive_learning_health
- Created missing data modules (consumer_gpu_profiles.py)
- Updated CLI to version 0.2.2 with proper import handling
- Fixed infinite loop in CLI alias configuration

## 📡 Port Mapping and Service Updates
- Updated blockchain node port from 8545 to 8005
- Added Adaptive Learning service on port 8010
- Consolidated P2P/sync into blockchain-node service
- All 5 core services now operational and responding

## 📚 Documentation Enhancements
- Updated SYSTEMD_SERVICES.md for Debian root usage (no sudo)
- Added comprehensive VIRTUAL_ENVIRONMENT.md guide
- Created REQUIREMENTS_MERGE_SUMMARY.md with migration details
- Updated RUNTIME_DIRECTORIES.md for standard Linux paths
- Fixed service port mappings and dependencies

## 🛠️ CLI Improvements
- Fixed import errors and version display (0.2.2)
- Resolved infinite loop in bashrc alias
- Added proper error handling for missing command modules
- Created aitbc-cli wrapper for clean execution

##  Operational Status
- 5/5 AITBC services running successfully
- All health checks passing
- Central virtual environment fully functional
- Requirements management streamlined
- Documentation accurate and up-to-date

## 🎯 Technical Achievements
- Eliminated 7 redundant requirements.txt files
- Reduced service startup failures from 34+ to 0
- Established modular dependency management
- Created reusable migration tooling
- Standardized Debian root deployment practices

This represents a complete infrastructure modernization with improved reliability,
maintainability, and operational efficiency.
2026-03-29 11:52:37 +02:00

167 lines
5.6 KiB
Python

#!/usr/bin/env python3
"""
AITBC Trading Agent
Automated trading agent for AITBC marketplace
"""
import asyncio
import json
import time
from typing import Dict, Any, List
from datetime import datetime
import sys
import os
# Add parent directory to path
sys.path.append(os.path.join(os.path.dirname(__file__), '../../../..'))
from apps.agent_services.agent_bridge.src.integration_layer import AgentServiceBridge
class TradingAgent:
"""Automated trading agent"""
def __init__(self, agent_id: str, config: Dict[str, Any]):
self.agent_id = agent_id
self.config = config
self.bridge = AgentServiceBridge()
self.is_running = False
self.trading_strategy = config.get("strategy", "basic")
self.symbols = config.get("symbols", ["AITBC/BTC"])
self.trade_interval = config.get("trade_interval", 60) # seconds
async def start(self) -> bool:
"""Start trading agent"""
try:
# Register with service bridge
success = await self.bridge.start_agent(self.agent_id, {
"type": "trading",
"capabilities": ["market_analysis", "trading", "risk_management"],
"endpoint": f"http://localhost:8005"
})
if success:
self.is_running = True
print(f"Trading agent {self.agent_id} started successfully")
return True
else:
print(f"Failed to start trading agent {self.agent_id}")
return False
except Exception as e:
print(f"Error starting trading agent: {e}")
return False
async def stop(self) -> bool:
"""Stop trading agent"""
self.is_running = False
success = await self.bridge.stop_agent(self.agent_id)
if success:
print(f"Trading agent {self.agent_id} stopped successfully")
return success
async def run_trading_loop(self):
"""Main trading loop"""
while self.is_running:
try:
for symbol in self.symbols:
await self._analyze_and_trade(symbol)
await asyncio.sleep(self.trade_interval)
except Exception as e:
print(f"Error in trading loop: {e}")
await asyncio.sleep(10) # Wait before retrying
async def _analyze_and_trade(self, symbol: str) -> None:
"""Analyze market and execute trades"""
try:
# Perform market analysis
analysis_task = {
"type": "market_analysis",
"symbol": symbol,
"strategy": self.trading_strategy
}
analysis_result = await self.bridge.execute_agent_task(self.agent_id, analysis_task)
if analysis_result.get("status") == "success":
analysis = analysis_result["result"]["analysis"]
# Make trading decision
if self._should_trade(analysis):
await self._execute_trade(symbol, analysis)
else:
print(f"Market analysis failed for {symbol}: {analysis_result}")
except Exception as e:
print(f"Error in analyze_and_trade for {symbol}: {e}")
def _should_trade(self, analysis: Dict[str, Any]) -> bool:
"""Determine if should execute trade"""
recommendation = analysis.get("recommendation", "hold")
return recommendation in ["buy", "sell"]
async def _execute_trade(self, symbol: str, analysis: Dict[str, Any]) -> None:
"""Execute trade based on analysis"""
try:
recommendation = analysis.get("recommendation", "hold")
if recommendation == "buy":
trade_task = {
"type": "trading",
"symbol": symbol,
"side": "buy",
"amount": self.config.get("trade_amount", 0.1),
"strategy": self.trading_strategy
}
elif recommendation == "sell":
trade_task = {
"type": "trading",
"symbol": symbol,
"side": "sell",
"amount": self.config.get("trade_amount", 0.1),
"strategy": self.trading_strategy
}
else:
return
trade_result = await self.bridge.execute_agent_task(self.agent_id, trade_task)
if trade_result.get("status") == "success":
print(f"Trade executed successfully: {trade_result}")
else:
print(f"Trade execution failed: {trade_result}")
except Exception as e:
print(f"Error executing trade: {e}")
async def get_status(self) -> Dict[str, Any]:
"""Get agent status"""
return await self.bridge.get_agent_status(self.agent_id)
# Main execution
async def main():
"""Main trading agent execution"""
agent_id = "trading-agent-001"
config = {
"strategy": "basic",
"symbols": ["AITBC/BTC"],
"trade_interval": 30,
"trade_amount": 0.1
}
agent = TradingAgent(agent_id, config)
# Start agent
if await agent.start():
try:
# Run trading loop
await agent.run_trading_loop()
except KeyboardInterrupt:
print("Shutting down trading agent...")
finally:
await agent.stop()
else:
print("Failed to start trading agent")
if __name__ == "__main__":
asyncio.run(main())