auparse_normalize_subject_primary - Linux


auparse_normalize_subject_primary is a utility for normalizing subject names in email addresses by extracting the primary address while preserving any comments or annotations. It is particularly useful in scenarios where subjects are formatted in various styles but need to be standardized for comparison or processing.


auparse_normalize_subject_primary [-h] [-q] [-v] [--stderr [LEVEL]]
                             [-o OUTPUT] [-m MATCHER]
                             [input ...]

  -h, --help            show this help message and exit
  -q, --quiet           suppress output messages
  -v, --verbose         debug mode; print verbose output
  --stderr [LEVEL]       set the stderr logging level
  -o OUTPUT, --output OUTPUT
                         output file; defaults to stdout
  -m MATCHER, --matcher MATCHER
                         matching strategy, either 'regex' or 'imap';
                         defaults to 'regex'


  • -h, --help: Display this help message and exit.
  • -q, --quiet: Suppress output messages, displaying only warnings and errors.
  • -v, --verbose: Debug mode, printing verbose output for troubleshooting.
  • --stderr [LEVEL]: Set the severity level for error messages printed to stderr. Valid levels are DEBUG, INFO, WARNING, ERROR, and CRITICAL.
  • -o OUTPUT, --output OUTPUT: Output file to write normalized subjects. Defaults to stdout if not specified.
  • -m MATCHER, --matcher MATCHER: Matching strategy to extract the primary subject address. Can be either ‘regex’ (using regular expressions) or ‘imap’ (using IMAP-style pattern matching). Defaults to ‘regex’.


  • Normalize subjects from a file and print the results:
auparse_normalize_subject_primary -m imap -o output.txt input.txt
  • Suppress output messages and match subjects using regular expressions:
auparse_normalize_subject_primary -q -m regex "Subject: (.*?)"
  • Extract subjects from multiple input files and write the output to a specific file:
auparse_normalize_subject_primary -o normalized_subjects.txt input1.txt input2.txt input3.txt

Common Issues

  • Incorrect matching strategy: Ensure the selected matching strategy (‘regex’ or ‘imap’) aligns with the subject format.
  • Escaping special characters: When using regular expressions, remember to escape special characters like square brackets ([]) and parentheses (()) within the pattern.
  • Output file permissions: Verify that the specified output file has appropriate write permissions.


auparse_normalize_subject_primary can be integrated with other tools for advanced tasks:

  • grep: Filter subjects based on specific criteria after normalization.
  • sort: Sort normalized subjects for comparisons or grouping.
  • xargs: Process subjects in batches using separate commands.

Related Commands

  • auparse_matcher: Extracts email addresses and other data from email messages using regular expressions or IMAP-style patterns.
  • auparse_normalize_email_address: Normalizes email addresses by removing whitespace, fixing case, and handling angle-brackets.
  • auparse_strip_comments: Removes comments and annotations from email subjects.