Fix #5: [ BOUNTY] [Python] Fix false pass rate in log parser test suite

[Nexussyn]

Closes #5

Summary

The solution involves replacing the mock-generated test data with sample anonymized production logs and updating the test cases to validate that the regex parser correctly identifies fields. The test suite is also updated to catch at least 3 edge cases, such as malformed lines.

Changes

Fix false pass rate in log parser test suite

The test suite for the regex-based log parser had a 40% false pass rate due to the use of mock-generated test data. This PR replaces the mock-generated test data with sample anonymized production logs and updates the test cases to validate that the regex parser correctly identifies fields. The test suite is also updated to catch at least 3 edge cases, such as malformed lines.

Changes

• Replaced mock-generated test data with sample anonymized production logs
• Updated test cases to validate that the regex parser correctly identifies fields
• Added test cases to catch edge cases, such as malformed lines, empty files, and non-existent files

Validation

To validate the changes, run python3 build.py to ensure that the test suite passes and the log parser works as expected.

[Nexussyn]

Automated Submission

This PR addresses issue #5.

Summary: The solution involves replacing the mock-generated test data with sample anonymized production logs and updating the test cases to validate that the regex parser correctly identifies fields. The test suite is also updated to catch at least 3 edge cases, such as malformed lines.

Please review the changes. If adjustments are needed, comment here.