Open Source / Python Automation / Daily Build

Log Signal

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Log Signal project cover
/ Overview

A dependency-free Python CLI that turns noisy plain-text logs into a compact severity and recurring-signal report.

NameLog Signal

ClientPersonal open-source project

IndustriesDeveloper tooling

Date2026

/ Challenge

Large plain-text logs repeat the same underlying problem with changing IDs, addresses and counters, making the important patterns difficult to spot quickly.

/ Provided services

Clear thinking.
Practical delivery.

01

Product definition

Scoped the one-day build around a clear operational task: turn a log file or standard-input stream into a useful first-pass incident summary.

02

Signal design

Defined readable severity totals, unmatched-line counts and recurring signatures without storing or uploading log content.

03

Python engineering

Implemented parsing, normalization, aggregation, reporting, file handling and meaningful exit codes using only the Python standard library.

Log Signal feature visual
/ Solution

I built a standard-library Python CLI that recognizes common severity labels, normalizes volatile identifiers, ranks recurring message signatures, counts unmatched lines and can emit text or JSON reports.

/ Impact

Severity totals at a glance

Recurring messages grouped by signature

Text and JSON output

Ten passing standard-library tests

/ Tech stack

Python

Dataclasses, type hints, regular expressions and Counter-based aggregation power the parser and report model.

CLI & JSON

Argparse supports files or stdin, top-signal limits, human-readable output, machine-readable JSON and opt-in exit-code behavior.

Unittest

Ten tests cover level parsing, normalization, unmatched lines, ranking, report limits, JSON output and error exit codes.

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