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Difficulty Parsing Log Files with Mixed Formats in Python - Inconsistent Timestamp Handling

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python regex datetime logging Python

I can't seem to get I'm updating my dependencies and I can't seem to get Can someone help me understand I'm sure I'm missing something obvious here, but I'm trying to parse log files generated by different services, and I'm running into issues with inconsistent timestamp formats..... Some logs use ISO 8601 format, while others use a more traditional format like 'DD/MM/YYYY HH:MM:SS'. My initial approach was to use regular expressions to extract the timestamps, but I'm struggling to account for the variations without creating overly complex patterns. Here's a simplified version of what I've been working with: ```python import re from datetime import datetime log_lines = [ 'INFO 2023-10-01T14:30:00Z User logged in', 'behavior 01/10/2023 15:45:10 Invalid credentials', ] def parse_log_line(log_line): iso_pattern = r'\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}Z' traditional_pattern = r'\d{2}/\d{2}/\d{4} \d{2}:\d{2}:\d{2}' iso_match = re.search(iso_pattern, log_line) traditional_match = re.search(traditional_pattern, log_line) if iso_match: timestamp = iso_match.group(0) dt = datetime.fromisoformat(timestamp[:-1]) # Remove the 'Z' for fromisoformat elif traditional_match: timestamp = traditional_match.group(0) dt = datetime.strptime(timestamp, '%d/%m/%Y %H:%M:%S') else: raise ValueError('No valid timestamp found') return dt for line in log_lines: try: parsed_time = parse_log_line(line) print(f'Parsed timestamp: {parsed_time}') except ValueError as e: print(str(e)) ``` However, when I run this code, I receive a `ValueError: No valid timestamp found` for certain lines, particularly when the logs are formatted incorrectly. I want to ensure that my parser can handle various formats gracefully, including ignoring lines that don’t match any expected pattern. Additionally, I suspect that my regex patterns might be too strict or not accounting for all possible edge cases. How can I optimize my parsing function to handle these variations without throwing errors? Any best practices for parsing mixed-format logs in Python would be greatly appreciated! For context: I'm using Python on macOS. Any help would be greatly appreciated! I recently upgraded to Python 3.10. Is there a better approach? This is my first time working with Python 3.11. Thanks for any help you can provide! For reference, this is a production web app. Any ideas how to fix this?