file_re is a Python library written in Rust aimed at providing robust and efficient regular expression operations on large files, including compressed files such as .gz and .xz. The goal of this library is to handle huge files in the order of gigabytes (GB) seamlessly.
.gz and .xz compressed files.re module.from file_re import file_re
from pathlib import Path
# Define the path to the file
file_path = Path('path/to/your/big_file.txt')
# Search for a specific pattern
match = file_re.search(r"(\d{3})-(\d{3})-(\d{4})", file_path)
# Mimic the behavior of Python's re.search
print("Full match:", match.group(0))
print("Group 1:", match.group(1))
print("Group 2:", match.group(2))
print("Group 3:", match.group(3))
match = file_re.search(r"(?P<username>[\w\.-]+)@(?P<domain>[\w]+)\.\w+", file_path)
# Mimic the behavior of Python's re.search with named groups
print("Full match:", match.group(0))
print("Username:", match.group("username"))
print("Domain:", match.group("domain"))
# Find all matches
matches = file_re.findall(r"(\d{3})-(\d{3})-(\d{4})", file_path)
print(matches)
# You can read direclty from compressed files
file_path = Path('path/to/your/big_file.txt.gz')
matches = file_re.findall(r"(\d{3})-(\d{3})-(\d{4})", file_path)
# For regex that requires multiple lines you have to enable the multiline mode
matches = file_re.search(r"<body>[\s\S]+</body>", file_path, multiline=True)
print(matches.group(0))
Default Line-by-Line Processing:
file_re reads files line by line and applies the regular expression to each line individually. This approach is memory efficient as it avoids loading the entire file into RAM.Multiline Mode:
findall operations for certain patterns, it comes at the cost of higher memory usage.Limited Flag Support:
re.IGNORECASE or re.MULTILINE are not supported.Users are encouraged to assess their specific needs and system capabilities when using file_re, especially when working with extremely large files or complex multiline regex patterns.
FAQs
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We found that file-re demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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