Spaces:
Sleeping
Sleeping
from typing import Any | |
import pandas as pd | |
import requests | |
import mimetypes | |
# --- Constants --- | |
DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space" | |
def get_files_by_task_id(id: str): | |
files_url = f"{DEFAULT_API_URL}/files/{id}" | |
print(f"Fetching files for task {id} from: {files_url}") | |
try: | |
response = requests.get(files_url, timeout=30) | |
response.raise_for_status() | |
# Return the raw response and content type | |
return { | |
"content": response.content, | |
"content_type": response.headers.get('Content-Type', ''), | |
"status": "success" | |
} | |
except requests.exceptions.RequestException as e: | |
error_message = f"Error fetching file: {e}" | |
print(error_message) | |
return { | |
"status": "error", | |
"error": error_message | |
} | |
def get_one_random_question(): | |
questions_url = f"{DEFAULT_API_URL}/random-question" | |
print(f"Fetching questions from: {questions_url}") | |
try: | |
response = requests.get(questions_url, timeout=15) | |
response.raise_for_status() | |
questions_data = response.json() | |
if not questions_data: | |
print("Fetched questions list is empty.") | |
return "Fetched questions list is empty or invalid format.", None | |
print(f"Fetched {len(questions_data)} questions.") | |
return questions_data | |
except requests.exceptions.RequestException as e: | |
print(f"Error fetching questions: {e}") | |
return f"Error fetching questions: {e}", None | |
except requests.exceptions.JSONDecodeError as e: | |
print(f"Error decoding JSON response from questions endpoint: {e}") | |
print(f"Response text: {response.text[:500]}") | |
return f"Error decoding server response for questions: {e}", None | |
except Exception as e: | |
print(f"An unexpected error occurred fetching questions: {e}") | |
return f"An unexpected error occurred fetching questions: {e}", None | |
# 2. Fetch Questions | |
def get_all_questions(): | |
questions_url = f"{DEFAULT_API_URL}/questions" | |
print(f"Fetching questions from: {questions_url}") | |
try: | |
response = requests.get(questions_url, timeout=15) | |
response.raise_for_status() | |
questions_data = response.json() | |
if not questions_data: | |
print("Fetched questions list is empty.") | |
return "Fetched questions list is empty or invalid format.", None | |
print(f"Fetched {len(questions_data)} questions.") | |
return questions_data | |
except requests.exceptions.RequestException as e: | |
print(f"Error fetching questions: {e}") | |
return f"Error fetching questions: {e}", None | |
except requests.exceptions.JSONDecodeError as e: | |
print(f"Error decoding JSON response from questions endpoint: {e}") | |
print(f"Response text: {response.text[:500]}") | |
return f"Error decoding server response for questions: {e}", None | |
except Exception as e: | |
print(f"An unexpected error occurred fetching questions: {e}") | |
return f"An unexpected error occurred fetching questions: {e}", None | |
# 5. Submit | |
def submit(submission_data:dict[str, Any], results_log:list): | |
submit_url = f"{DEFAULT_API_URL}/submit" | |
print(f"Submitting {len(submission_data["answers"])} answers to: {submit_url}") | |
try: | |
print(f"Submitting:", submission_data) | |
response = requests.post(submit_url, json=submission_data, timeout=60) | |
response.raise_for_status() | |
result_data = response.json() | |
final_status = ( | |
f"Submission Successful!\n" | |
f"User: {result_data.get('username')}\n" | |
f"Overall Score: {result_data.get('score', 'N/A')}% " | |
f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n" | |
f"Message: {result_data.get('message', 'No message received.')}" | |
) | |
print("Submission successful.") | |
results_df = pd.DataFrame(results_log) | |
return final_status, results_df | |
except requests.exceptions.HTTPError as e: | |
error_detail = f"Server responded with status {e.response.status_code}." | |
try: | |
error_json = e.response.json() | |
error_detail += f" Detail: {error_json.get('detail', e.response.text)}" | |
except requests.exceptions.JSONDecodeError: | |
error_detail += f" Response: {e.response.text[:500]}" | |
status_message = f"Submission Failed: {error_detail}" | |
print(status_message) | |
results_df = pd.DataFrame(results_log) | |
return status_message, results_df | |
except requests.exceptions.Timeout: | |
status_message = "Submission Failed: The request timed out." | |
print(status_message) | |
results_df = pd.DataFrame(results_log) | |
return status_message, results_df | |
except requests.exceptions.RequestException as e: | |
status_message = f"Submission Failed: Network error - {e}" | |
print(status_message) | |
results_df = pd.DataFrame(results_log) | |
return status_message, results_df | |
except Exception as e: | |
status_message = f"An unexpected error occurred during submission: {e}" | |
print(status_message) | |
results_df = pd.DataFrame(results_log) | |
return status_message, results_df | |