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#!/usr/bin/env python3
"""
Unit 4 API Client for GAIA Benchmark Questions
Handles question fetching, file downloads, and answer submission
"""
import os
import requests
import logging
from typing import Dict, Any, List, Optional, Union
from dataclasses import dataclass
import json
import time
from pathlib import Path
# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
@dataclass
class GAIAQuestion:
"""GAIA benchmark question data structure"""
task_id: str
question: str
level: int # 1, 2, or 3 (difficulty level)
final_answer: Optional[str] = None
file_name: Optional[str] = None
file_path: Optional[str] = None
metadata: Optional[Dict[str, Any]] = None
@dataclass
class SubmissionResult:
"""Result of answer submission"""
task_id: str
submitted_answer: str
success: bool
score: Optional[float] = None
feedback: Optional[str] = None
error: Optional[str] = None
class Unit4APIClient:
"""Client for Unit 4 API to fetch GAIA questions and submit answers"""
def __init__(self, base_url: str = "https://agents-course-unit4-scoring.hf.space"):
"""Initialize Unit 4 API client"""
self.base_url = base_url.rstrip('/')
self.session = requests.Session()
self.session.headers.update({
'User-Agent': 'GAIA-Agent-System/1.0',
'Accept': 'application/json',
'Content-Type': 'application/json'
})
# Create downloads directory
self.downloads_dir = Path("downloads")
self.downloads_dir.mkdir(exist_ok=True)
# Track API usage
self.requests_made = 0
self.last_request_time = 0
self.rate_limit_delay = 1.0 # Seconds between requests
def _rate_limit(self):
"""Implement basic rate limiting"""
current_time = time.time()
time_since_last = current_time - self.last_request_time
if time_since_last < self.rate_limit_delay:
sleep_time = self.rate_limit_delay - time_since_last
logger.debug(f"Rate limiting: sleeping {sleep_time:.2f}s")
time.sleep(sleep_time)
self.last_request_time = time.time()
self.requests_made += 1
def _make_request(self, method: str, endpoint: str, **kwargs) -> requests.Response:
"""Make HTTP request with rate limiting and error handling"""
self._rate_limit()
url = f"{self.base_url}{endpoint}"
try:
logger.debug(f"Making {method} request to {url}")
response = self.session.request(method, url, **kwargs)
response.raise_for_status()
return response
except requests.exceptions.RequestException as e:
logger.error(f"API request failed: {e}")
raise
def get_questions(self, level: Optional[int] = None, limit: Optional[int] = None) -> List[GAIAQuestion]:
"""Fetch GAIA questions from the API"""
endpoint = "/questions"
params = {}
if level is not None:
params['level'] = level
if limit is not None:
params['limit'] = limit
try:
response = self._make_request('GET', endpoint, params=params)
data = response.json()
questions = []
# Handle different response formats
if isinstance(data, list):
question_list = data
elif isinstance(data, dict) and 'questions' in data:
question_list = data['questions']
else:
question_list = [data] # Single question
for q_data in question_list:
question = GAIAQuestion(
task_id=q_data.get('task_id', ''),
question=q_data.get('question', ''),
level=q_data.get('level', 1),
final_answer=q_data.get('final_answer'),
file_name=q_data.get('file_name'),
metadata=q_data
)
questions.append(question)
logger.info(f"✅ Fetched {len(questions)} questions from API")
return questions
except Exception as e:
logger.error(f"❌ Failed to fetch questions: {e}")
return []
def get_random_question(self, level: Optional[int] = None) -> Optional[GAIAQuestion]:
"""Fetch a random question from the API"""
endpoint = "/random-question"
params = {}
if level is not None:
params['level'] = level
try:
response = self._make_request('GET', endpoint, params=params)
data = response.json()
question = GAIAQuestion(
task_id=data.get('task_id', ''),
question=data.get('question', ''),
level=data.get('level', 1),
final_answer=data.get('final_answer'),
file_name=data.get('file_name'),
metadata=data
)
logger.info(f"✅ Fetched random question: {question.task_id}")
return question
except Exception as e:
logger.error(f"❌ Failed to fetch random question: {e}")
return None
def download_file(self, task_id: str, file_name: Optional[str] = None) -> Optional[str]:
"""Download file associated with a question"""
if not task_id:
logger.error("Task ID required for file download")
return None
endpoint = f"/files/{task_id}"
try:
response = self._make_request('GET', endpoint, stream=True)
# Determine filename
if file_name:
filename = file_name
else:
# Try to get filename from response headers
content_disposition = response.headers.get('content-disposition', '')
if 'filename=' in content_disposition:
filename = content_disposition.split('filename=')[1].strip('"')
else:
# Use task_id as fallback
filename = f"{task_id}_file"
# Save file
file_path = self.downloads_dir / filename
with open(file_path, 'wb') as f:
for chunk in response.iter_content(chunk_size=8192):
f.write(chunk)
logger.info(f"✅ Downloaded file: {file_path}")
return str(file_path)
except Exception as e:
logger.error(f"❌ Failed to download file for {task_id}: {e}")
return None
def submit_answer(self, task_id: str, answer: str) -> SubmissionResult:
"""Submit answer for evaluation"""
endpoint = "/submit"
payload = {
"task_id": task_id,
"answer": str(answer).strip()
}
try:
response = self._make_request('POST', endpoint, json=payload)
data = response.json()
result = SubmissionResult(
task_id=task_id,
submitted_answer=answer,
success=True,
score=data.get('score'),
feedback=data.get('feedback'),
)
logger.info(f"✅ Submitted answer for {task_id}")
if result.score is not None:
logger.info(f" Score: {result.score}")
if result.feedback:
logger.info(f" Feedback: {result.feedback}")
return result
except Exception as e:
logger.error(f"❌ Failed to submit answer for {task_id}: {e}")
return SubmissionResult(
task_id=task_id,
submitted_answer=answer,
success=False,
error=str(e)
)
def validate_answer_format(self, answer: str, question: GAIAQuestion) -> bool:
"""Validate answer format before submission"""
if not answer or not answer.strip():
logger.warning("Empty answer provided")
return False
# Basic length validation
if len(answer) > 1000:
logger.warning("Answer is very long (>1000 chars)")
# Remove common formatting issues
cleaned_answer = answer.strip()
# Log validation result
logger.debug(f"Answer validation passed for {question.task_id}")
return True
def get_api_status(self) -> Dict[str, Any]:
"""Check API status and endpoints"""
status = {
"base_url": self.base_url,
"requests_made": self.requests_made,
"endpoints_tested": {}
}
# Test basic endpoints
test_endpoints = [
("/questions", "GET"),
("/random-question", "GET"),
]
for endpoint, method in test_endpoints:
try:
response = self._make_request(method, endpoint, timeout=5)
status["endpoints_tested"][endpoint] = {
"status_code": response.status_code,
"success": True
}
except Exception as e:
status["endpoints_tested"][endpoint] = {
"success": False,
"error": str(e)
}
return status
def process_question_with_files(self, question: GAIAQuestion) -> GAIAQuestion:
"""Process question and download associated files if needed"""
if question.file_name and question.task_id:
logger.info(f"Downloading file for question {question.task_id}")
file_path = self.download_file(question.task_id, question.file_name)
if file_path:
question.file_path = file_path
logger.info(f"✅ File ready: {file_path}")
else:
logger.warning(f"❌ Failed to download file for {question.task_id}")
return question
# Test functions
def test_api_connection():
"""Test basic API connectivity"""
logger.info("🧪 Testing Unit 4 API connection...")
client = Unit4APIClient()
# Test API status
status = client.get_api_status()
logger.info("📊 API Status:")
for endpoint, result in status["endpoints_tested"].items():
status_str = "✅ PASS" if result["success"] else "❌ FAIL"
logger.info(f" {endpoint:20}: {status_str}")
if not result["success"]:
logger.info(f" Error: {result.get('error', 'Unknown')}")
return status
def test_question_fetching():
"""Test fetching questions from API"""
logger.info("🧪 Testing question fetching...")
client = Unit4APIClient()
# Test random question
question = client.get_random_question()
if question:
logger.info(f"✅ Random question fetched: {question.task_id}")
logger.info(f" Level: {question.level}")
logger.info(f" Question: {question.question[:100]}...")
logger.info(f" Has file: {question.file_name is not None}")
# Test file download if available
if question.file_name:
question = client.process_question_with_files(question)
return question
else:
logger.error("❌ Failed to fetch random question")
return None
if __name__ == "__main__":
# Run tests when script executed directly
test_api_connection()
test_question_fetching() |