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# runner.py
from settings import Settings
from models import Question, QuestionAnswerPair
from agent import ManagerAgent # Import ManagerAgent
import pandas as pd
import logging
import json
import asyncio
import nest_asyncio
nest_asyncio.apply() # Apply nest_asyncio for nested event loops (e.g., in Gradio)
logger = logging.getLogger(__name__)
class Runner:
def __init__(self, settings: Settings):
self.settings = settings
# Initialize ManagerAgent once to reuse across runs
self.manager_agent = ManagerAgent(self.settings)
def _save_pairs(self, pairs: list[QuestionAnswerPair], username: str):
"""Write the question answer pairs to a user-specific file."""
answers = [pair.model_dump() for pair in pairs if pair is not None]
file_name = f"answers_{username}.json"
try:
with open(file_name, "w") as f:
json.dump(answers, f, indent=4)
logger.info(f"Saved {len(answers)} question-answer pairs to '{file_name}'.")
except Exception as e:
logger.error(f"Error saving question-answer pairs to '{file_name}': {e}")
async def _run_agent_async(self, item: Question):
"""Runs the agent asynchronously on a single question."""
task_id = item.task_id
# Pass the full question object to the ManagerAgent's __call__
question_data = item.model_dump() # Convert Pydantic model to dict
try:
# Call the manager agent's __call__ method
answer = await asyncio.to_thread(self.manager_agent, question_data)
except Exception as e:
logger.error(f"Error running agent on task {task_id}: {e}")
answer = f"AGENT ERROR: {e}"
return QuestionAnswerPair(task_id=task_id,
question=item.question, answer=str(answer))
def _assign_questions(self, questions: list[Question]):
"""Runs the asynchronous loop and returns task outputs."""
tasks = [self._run_agent_async(item) for item in questions]
return asyncio.gather(*tasks)
def run_agent(self, questions: list[Question], username: str) -> pd.DataFrame:
"""Run the agent(s) async, save answers and return a dataframe"""
# Ensure an event loop is running or create a new one
try:
loop = asyncio.get_running_loop()
except RuntimeError:
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
# Run the asynchronous tasks in the event loop
pairs = loop.run_until_complete(self._assign_questions(questions))
# Save json to disk and return a dataframe
self._save_pairs(pairs, username)
results_log = [pair.model_dump() for pair in pairs if pair is not None]
if not results_log:
logger.warning("Agent did not produce any answers to submit.")
return pd.DataFrame(results_log)
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