I have a Python script that uses multiple regular expressions to search through a file's content. Here's the relevant code snippet: PATTERNS = { "email": re.compile(r"\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b"), "phone": re.compile(r"\b\d{3}-\d{3}-\d{4}\b"), "date": re.compile(r"\b\d{4}-\d{2}-\d{2}\b") } def readfilecontent(filepath): with open(filepath,'r', encoding='utf-8', errors='ignore') as file: return file.read() filecontent = readfilecontent("path/ToFile") for key, pattern in PATTERNS.items(): matches = pattern.findall(filecontent) if matches: for match in matches: print(match) PATTERNS is a dictionary where the key is the pattern's name, and the value is a precompiled regex object (created using re.compile). filecontent contains the file's content as a single string. The script works correctly but takes several minutes to process each file due to the large size of the files and the number of patterns. Is there a way to speed this up, either by restructuring the code or using a more efficient library or approach? For example, would combining patterns, parallel processing, or other methods improve performance? Continue reading...
