import re from datetime import datetime filename = "VID-20220607-WA0021.mp4" # Fast extraction using Regex match = re.search(r"VID-(\d{4})(\d{2})(\d{2})-WA(\d+)", filename) if match: year, month, day, seq = match.groups() date_obj = datetime(int(year), int(month), int(day)) feature_set = { "is_video": True, "date": date_obj.strftime('%Y-%m-%d'), "day_name": date_obj.strftime('%A'), "whatsapp_sequence": int(seq) } print(feature_set) Use code with caution.
0021 (The 21st media file saved on that specific day) How to Programmatically Create Features VID-20220607-WA0021mp4
If you are building a machine learning model or an organized archive, you should break this string into multiple sub-features. Feature Name Media_Type Extracted from the VID prefix Timestamp 2022-06-07 Parsed from YYYYMMDD format Year Useful for long-term trend analysis Month Useful for seasonal patterns Day_of_Week Derived from the date (2022-06-07 was a Tuesday) Source_App Identified by the WA string Daily_Index The unique counter for that day 2. Python Implementation (High-Speed Extraction) import re from datetime import datetime filename =
You can use the re (Regular Expression) module to extract these features instantly from a list of filenames. filename) if match: year