import os import logging from datetime import datetime, timedelta import json from collections import defaultdict import shutil import re import argparse from typing import Dict, Set, Tuple, Optional from log_reader import RemoteLogReader # List of IP addresses we care about WHITELIST_IPS_DICT = { "Chen Gong": ["128.143.67.19"], "Juyong Jiang": ["175.159.122.63"], "Kenneth Hamilton": ["109.245.193.97"], "Marek Suppa": ["158.195.18.232"], "Max Tian": ["2607:fea8:4f40:4b00:e5b9:9806:6b69:233b", "2607:fea8:4f40:4b00:bcef:571:6124:f01", "2607:fea8:7c9d:3800:d9c0:7295:3e2e:6287", "2607:fea8:7c9d:3800:fd51:2c91:c9e2:3c8"], "Mengzhao Jia": ["66.254.231.49"], "Noah Ziems": ["2601:245:c500:92c0:633c:c0d2:dcc1:1f48", "2601:245:c500:92c0:961e:9ac7:e02:c266"], "Sabina A": ["175.196.44.217", "58.235.174.122", "14.52.175.55"], "Wenhao Yu": ["2601:600:8d00:9510:1d77:b610:9358:f443"], "Vaisakhi Mishra": ["74.90.222.68"], "Kumar Shridhar": ["129.132.145.250"], "Viktor Gal": ["2a02:169:3e9:0:6ce8:e76f:faed:c830"], "Guangyu Song": ["70.50.179.57"], "Bhupesh Bishnoi": ["192.168.1.8", "195.220.58.237"], "Zheng Liu": ["128.143.71.67"], "Ming Xu": ["10.0.0.243", "2601:600:8d00:9510:5150:468c:ab7d:518d"], "Ayush Sunil Munot": ["10.145.76.56"], "Saiteja Utpala": ["10.16.122.99"] } # Flatten IP list for backward compatibility WHITELIST_IPS = [ip for ips in WHITELIST_IPS_DICT.values() for ip in ips] logging.basicConfig(level=logging.WARNING) log = logging.getLogger(__name__) def get_ip_from_jsonl(content: str) -> Optional[str]: """Extract IP from the first line of a JSONL content""" try: first_line = content.split('\n')[0] data = json.loads(first_line) return data.get('ip') except Exception as e: log.error(f"Error extracting IP from content: {e}") return None def get_chat_session_id(file_name: str, content: str = None) -> Optional[str]: """Extract chat_session_id based on the file location: - For files under conv_logs: extract from filename - For files under sandbox_logs: read from file content """ try: if 'conv_logs' in file_name: # Extract from filename for conv_logs match = re.match(r'conv-log-([a-f0-9]+)\.json', file_name) if match: return match.group(1) elif 'sandbox_logs' in file_name and content: # Read from file content for sandbox_logs data = json.loads(content) return data['sandbox_state'].get('chat_session_id') return None except Exception as e: log.error(f"Error getting chat_session_id from {file_name}: {e}") return None def get_sandbox_session_ids(reader: 'RemoteLogReader', date_str: str) -> Set[str]: """Get all chat_session_ids from sandbox logs for a given date""" session_ids = set() try: sandbox_logs = reader.get_sandbox_logs(date_str) for log in sandbox_logs: if isinstance(log, dict): session_id = log.get('sandbox_state', {}).get('chat_session_id') if session_id: session_ids.add(session_id) except Exception as e: log.error(f"Error getting sandbox session IDs for date {date_str}: {e}") return session_ids def get_file_data(content: str) -> Tuple[Optional[str], bool]: """Read file content and return IP and vote condition status""" try: lines = [line.strip() for line in content.split('\n') if line.strip()] if not lines: return None, False # Get IP from first line try: first_line_data = json.loads(lines[0]) ip = first_line_data.get('ip') # Early return if IP is not in whitelist if ip not in WHITELIST_IPS: return None, False except json.JSONDecodeError: ip = None # Check vote conditions from last line try: last_line_data = json.loads(lines[-1]) feedback = last_line_data.get('feedback') vote_conditions_met = (last_line_data.get('type') == 'vote' and isinstance(feedback, dict) and len(feedback) == 6) except json.JSONDecodeError: vote_conditions_met = False return ip, vote_conditions_met except Exception as e: log.error(f"Error processing file content: {e}") return None, False def count_files_per_ip(reader: 'RemoteLogReader', start_date_str: str = "2025_02_18") -> Dict[str, int]: """Count files per name from the given start date""" # Convert start date string to datetime start_date = datetime.strptime(start_date_str, "%Y_%m_%d") name_counts = defaultdict(int) try: # Get current date for iteration current_date = start_date today = datetime.now() # Create reverse mapping of IP to name ip_to_name = {ip: name for name, ips in WHITELIST_IPS_DICT.items() for ip in ips} while current_date <= today: date_str = current_date.strftime("%Y_%m_%d") try: # Get conversation logs for battle_anony mode conv_logs = reader.get_conv_logs(date_str) battle_anony_logs = conv_logs.get('battle_anony', {}) # Process each conversation for conv_id, messages in battle_anony_logs.items(): if messages: # Convert messages to file content format content = '\n'.join(json.dumps(msg) for msg in messages) ip, vote_conditions_met = get_file_data(content) if vote_conditions_met and ip and ip in ip_to_name: name = ip_to_name[ip] name_counts[name] += 1 except Exception as e: log.error(f"Error processing logs for date {date_str}: {e}") # Move to next day current_date += timedelta(days=1) except Exception as e: log.error(f"Error accessing logs: {e}") return dict(name_counts) def download_files_by_name(reader: 'RemoteLogReader', start_date_str: str = "2025_02_18", check_sandbox: bool = True) -> None: """Download files and organize them by annotator name Args: reader: RemoteLogReader instance start_date_str: The start date in YYYY_MM_DD format check_sandbox: Whether to check for matching sandbox logs """ # Create base data directory data_dir = os.path.join(os.getcwd(), "data") os.makedirs(data_dir, exist_ok=True) # Create reverse mapping of IP to name ip_to_name = {ip: name for name, ips in WHITELIST_IPS_DICT.items() for ip in ips} # Convert start date string to datetime start_date = datetime.strptime(start_date_str, "%Y_%m_%d") try: # Get current date for iteration current_date = start_date today = datetime.now() while current_date <= today: date_str = current_date.strftime("%Y_%m_%d") # Get all sandbox session IDs for this date sandbox_session_ids = get_sandbox_session_ids(reader, date_str) if check_sandbox else set() try: # Get conversation logs for battle_anony mode conv_logs = reader.get_conv_logs(date_str) battle_anony_logs = conv_logs.get('battle_anony', {}) # Process each conversation for conv_id, messages in battle_anony_logs.items(): if not messages: continue # Convert messages to file content content = '\n'.join(json.dumps(msg) for msg in messages) ip = get_ip_from_jsonl(content) if ip and ip in ip_to_name: name = ip_to_name[ip] # Create directory structure for this name name_dir = os.path.join(data_dir, name) valid_dir = os.path.join(name_dir, "valid") invalid_dir = os.path.join(name_dir, "invalid") os.makedirs(valid_dir, exist_ok=True) os.makedirs(invalid_dir, exist_ok=True) # Check if chat_session_id exists in sandbox logs if check_sandbox: has_sandbox = conv_id in sandbox_session_ids target_dir = valid_dir if has_sandbox else invalid_dir else: # When sandbox checking is disabled, put everything in valid target_dir = valid_dir # Save the file file_name = f"conv-log-{conv_id}.json" local_file_path = os.path.join(target_dir, file_name) try: with open(local_file_path, 'w') as f: f.write(content) log.info(f"Saved {file_name} to {target_dir}") except Exception as e: log.error(f"Error saving file {file_name}: {e}") except Exception as e: log.error(f"Error processing logs for date {date_str}: {e}") # Move to next day current_date += timedelta(days=1) except Exception as e: log.error(f"Error accessing logs: {e}") def main(): # Initialize RemoteLogReader reader = RemoteLogReader() # Add argument parser for optional parameters parser = argparse.ArgumentParser(description='Download and organize conversation files by annotator name') parser.add_argument('--sandbox-check', action='store_true', help='Check for matching sandbox logs') parser.add_argument('--download', action='store_true', help='Enable file download') args = parser.parse_args() # Download files if enabled if args.download: print("\nDownloading files and organizing by annotator name...") download_files_by_name(reader, check_sandbox=args.sandbox_check) # Count and display statistics name_counts = count_files_per_ip(reader) print("\nFile counts per annotator:") for name, count in sorted(name_counts.items(), key=lambda x: x[1], reverse=True): print(f"Name: {name:<20} Count: {count}") if __name__ == "__main__": main()