GradLLM / function_tracker.py
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added test llm runner
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# function_tracker.py
from __future__ import annotations
from dataclasses import dataclass
from typing import Dict, List
import random
@dataclass
class TrackedCall:
FunctionCallId: str
FunctionName: str
IsProcessed: bool = False
Payload: str = ""
class FunctionCallTracker:
def __init__(self) -> None:
self._by_msg: Dict[str, Dict[str, TrackedCall]] = {}
@staticmethod
def gen_id() -> str:
return f"call_{random.randint(10_000_000, 99_999_999)}"
def add(self, message_id: str, fn_name: str, payload: str) -> str:
call_id = self.gen_id()
self._by_msg.setdefault(message_id, {})[call_id] = TrackedCall(call_id, fn_name, False, payload)
return call_id
def mark_processed(self, message_id: str, call_id: str, payload: str = "") -> None:
m = self._by_msg.get(message_id, {})
if call_id in m:
m[call_id].IsProcessed = True
if payload:
m[call_id].Payload = payload
def all_processed(self, message_id: str) -> bool:
m = self._by_msg.get(message_id, {})
return bool(m) and all(x.IsProcessed for x in m.values())
def processed_list(self, message_id: str) -> List[TrackedCall]:
return list(self._by_msg.get(message_id, {}).values())
def clear(self, message_id: str) -> None:
self._by_msg.pop(message_id, None)