# 1. Normalize the input clean_string = raw_input_string.lower().strip()
import re from datetime import datetime def process_archive_request(raw_input_string): """ Parses a raw input string to determine archiving actions. Input Example: "archivefhdjufe568 3mp4 top" """ archivefhdjufe568 3mp4 top
# 4. Logic Gate if is_archive and is_mp4: destination_folder = "/archives/top_tier" if is_top_priority else "/archives/standard" return { "status": "Ready to Archive", "file_id": file_id, "format": "MP4", "priority": "HIGH" if is_top_priority else "NORMAL", "destination": destination_folder, "timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S") } Logic Gate if is_archive and is_mp4: destination_folder =
# 3. Extract potential ID (random alphanumeric strings) # This helps identify specific files in a database id_match = re.search(r'([a-z0-9]{5,})', clean_string) file_id = id_match.group(1) if id_match else "unknown" "priority": "HIGH" if is_top_priority else "NORMAL"
Since the string itself is incoherent, I have designed a software feature specification for a that interprets the likely intent behind the keywords "Archive," "MP4," and "Top" (quality/ranking).