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| import asyncio
import time
import threading
from dataclasses import dataclass
from typing import Dict, List, Optional
import logging
@dataclass
class ToolCallRecord:
"""工具调用记录"""
tool_name: str
start_time: float
end_time: Optional[float]
input_data: str
output_data: Optional[str]
error: Optional[str]
thread_id: int
class AgentExecutionMonitor:
"""Agent执行监控器"""
def __init__(self):
self.active_calls: Dict[str, ToolCallRecord] = {}
self.completed_calls: List[ToolCallRecord] = []
self.call_counter = 0
self.lock = threading.Lock()
def start_tool_call(self, tool_name: str, input_data: str) -> str:
"""记录工具调用开始"""
call_id = f"{tool_name}_{self.call_counter}_{int(time.time() * 1000)}"
self.call_counter += 1
record = ToolCallRecord(
tool_name=tool_name,
start_time=time.time(),
end_time=None,
input_data=input_data[:200],
output_data=None,
error=None,
thread_id=threading.get_ident()
)
with self.lock:
self.active_calls[call_id] = record
logging.info(f"工具调用开始: {tool_name} (ID: {call_id})")
return call_id
def end_tool_call(self, call_id: str, output_data: str = None, error: str = None):
"""记录工具调用结束"""
with self.lock:
if call_id in self.active_calls:
record = self.active_calls[call_id]
record.end_time = time.time()
record.output_data = output_data[:200] if output_data else None
record.error = error
self.completed_calls.append(record)
del self.active_calls[call_id]
duration = record.end_time - record.start_time
logging.info(f"工具调用结束: {record.tool_name} (耗时: {duration:.2f}s)")
def get_active_calls(self) -> List[ToolCallRecord]:
"""获取活跃的工具调用"""
with self.lock:
return list(self.active_calls.values())
def analyze_deadlock_patterns(self) -> Dict:
"""分析死锁模式"""
active_calls = self.get_active_calls()
current_time = time.time()
long_running_calls = [
call for call in active_calls
if current_time - call.start_time > 30
]
tool_patterns = {}
for call in active_calls:
tool_name = call.tool_name
if tool_name not in tool_patterns:
tool_patterns[tool_name] = []
tool_patterns[tool_name].append(call)
potential_cycles = []
for tool_name, calls in tool_patterns.items():
if len(calls) > 1:
potential_cycles.append({
'tool': tool_name,
'concurrent_calls': len(calls),
'threads': [call.thread_id for call in calls]
})
return {
'active_calls_count': len(active_calls),
'long_running_calls': len(long_running_calls),
'long_running_details': [
{
'tool': call.tool_name,
'duration': current_time - call.start_time,
'thread_id': call.thread_id
}
for call in long_running_calls
],
'tool_patterns': tool_patterns,
'potential_cycles': potential_cycles
}
class MonitoredBaseTool:
"""带监控的工具基类"""
def __init__(self, monitor: AgentExecutionMonitor):
self.monitor = monitor
async def _run_with_monitoring(self, tool_name: str, input_data: str, actual_func):
"""带监控的工具执行"""
call_id = self.monitor.start_tool_call(tool_name, input_data)
try:
result = await actual_func(input_data)
self.monitor.end_tool_call(call_id, str(result))
return result
except Exception as e:
self.monitor.end_tool_call(call_id, error=str(e))
raise
|
