Metadata-Version: 2.4
Name: logshrink
Version: 1.0.0
Summary: A zero-config CLI that deduplicates repetitive polling noise and auto-highlights real errors in live terminal logs.
Author-email: Umut Güngör <umutgungor.dev@gmail.com>
Maintainer-email: Umut Güngör <umutgungor.dev@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/umutgungorr/logshrink
Project-URL: Repository, https://github.com/umutgungorr/logshrink
Project-URL: Issues, https://github.com/umutgungorr/logshrink/issues
Project-URL: Changelog, https://github.com/umutgungorr/logshrink/blob/main/CHANGELOG.md
Keywords: cli,logs,logging,debugging,developer-tools,terminal,monitoring,error-detection,deduplication,stream-filter
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: System :: Logging
Classifier: Topic :: System :: Monitoring
Classifier: Topic :: Utilities
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: dev
Requires-Dist: pytest>=7.0.0; extra == "dev"
Requires-Dist: pytest-cov>=4.0.0; extra == "dev"
Requires-Dist: ruff>=0.1.0; extra == "dev"
Dynamic: license-file

<div align="center">

```text
  ██╗      ██████╗  ██████╗ ███████╗██╗  ██╗██████╗ ██╗███╗   ██╗██╗  ██╗
  ██║     ██╔═══██╗██╔════╝ ██╔════╝██║  ██║██╔══██╗██║████╗  ██║██║ ██╔╝
  ██║     ██║   ██║██║  ███╗███████╗███████║██████╔╝██║██╔██╗ ██║█████╔╝
  ██║     ██║   ██║██║   ██║╚════██║██╔══██║██╔══██╗██║██║╚██╗██║██╔═██╗
  ███████╗╚██████╔╝╚██████╔╝███████║██║  ██║██║  ██║██║██║ ╚████║██║  ██╗
  ╚══════╝ ╚═════╝  ╚═════╝ ╚══════╝╚═╝  ╚═╝╚═╝  ╚═╝╚═╝╚═╝  ╚═══╝╚═╝  ╚═╝
```

### Turn Terminal Log Flood into Signal. Instantly.

**A zero-dependency CLI stream filter that deduplicates repetitive polling floods, highlights multi-line errors, and captures incident postmortems in real time.**

[![CI](https://github.com/umutgungorr/logshrink/actions/workflows/ci.yml/badge.svg)](https://github.com/umutgungorr/logshrink/actions)
[![Action CI](https://github.com/umutgungorr/logshrink/actions/workflows/test-action.yml/badge.svg)](https://github.com/umutgungorr/logshrink/actions)
[![GitHub Marketplace](https://img.shields.io/badge/Marketplace-LogShrink%20Action-blue?logo=githubactions&logoColor=white)](https://github.com/marketplace/actions/logshrink-log-cleaner)
[![Version](https://img.shields.io/badge/version-v1.0.0-blue.svg?logo=git&logoColor=white)](https://github.com/umutgungorr/logshrink/releases)
[![Python Version](https://img.shields.io/badge/python-3.9%20%7C%203.10%20%7C%203.11%20%7C%203.12%20%7C%203.13%20%7C%203.14-3776AB.svg?logo=python&logoColor=white)](https://github.com/umutgungorr/logshrink)
[![Zero Dependencies](https://img.shields.io/badge/dependencies-0%20external-success.svg)](pyproject.toml)
[![Coverage](https://img.shields.io/badge/coverage-85%25-brightgreen.svg)](#test-suite)
[![Tests](https://img.shields.io/badge/tests-68%20passed-brightgreen.svg)](#test-suite)
[![Code style: ruff](https://img.shields.io/badge/code%20style-ruff-000000.svg)](https://github.com/astral-sh/ruff)
[![License: MIT](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE)

---

[⚡ Quickstart](#quickstart) •
[🤖 GitHub Actions CI](#github-actions-ci) •
[💥 Problem vs. Solution](#problem-solution) •
[📊 Feature Comparison](#feature-comparison) •
[📦 Installation](#installation) •
[⚙️ CLI Reference](#cli-reference) •
[🔬 Architecture](#pipeline-architecture) •
[🚀 Benchmarks](#benchmarks) •
[🧪 Test Suite](#test-suite) •
[🤝 Contributing](#contributing)

</div>

---

<a id="problem-solution"></a>
## 💥 The Problem vs. Solution

When developing or debugging backend microservices, Kubernetes pods, and container clusters:

- **Polling Floods**: Thousands of identical Kubernetes liveness probes (`GET /healthz 200`), database heartbeats (`SELECT 1`), and Prometheus scrapes scroll by every minute.
- **Lost Errors**: When a real deadlock, panic, or unhandled 500 error occurs, it scrolls off your terminal buffer in 300 milliseconds.
- **Brittle Grep Pipelines**: Chaining `grep -v "health" | grep -v "metrics"` is dangerous—it **blindly deletes genuine failures** occurring on health endpoints and mutilates multi-line tracebacks.

### Side-by-Side Terminal Comparison

```text
┌───────────────────────────────────────────────┐   ┌───────────────────────────────────────────────┐
│           BEFORE: Raw Terminal Flood          │   │             AFTER: With LogShrink             │
├───────────────────────────────────────────────┤   ├───────────────────────────────────────────────┤
│ 19:00:01 [INFO] GET /healthz 200 (took 0.4ms) │   │ 19:00:01 [INFO] GET /healthz 200 (took 0.4ms) │
│ 19:00:02 [INFO] GET /healthz 200 (took 0.3ms) │   │   [-] [x480 suppressed] [INFO] GET /healthz   │
│ 19:00:03 [INFO] GET /healthz 200 (took 0.5ms) │   │                       (last seen 19:04:11)    │
│ 19:00:04 [INFO] GET /healthz 200 (took 0.4ms) │   │                                               │
│ ... [480 identical lines flooding buffer] ... │   │ ┌── INCIDENT #1: ERROR ────────────────────── │
│ 19:04:12 [ERROR] Database deadlock!           │   │ │ 19:04:12 [ERROR] Database deadlock!         │
│ Traceback (most recent call last):            │   │ │ Traceback (most recent call last):          │
│   File "/app/db.py", line 42, in query        │   │ │   File "/app/db.py", line 42, in query      │
│     raise OperationalError("deadlock")        │   │ │     raise OperationalError("deadlock")      │
│ 19:04:13 [INFO] GET /healthz 200 (took 0.3ms) │   │ └──────────────────────────────────────────── │
│ 19:04:14 [INFO] GET /healthz 200 (took 0.4ms) │   │ 19:04:13 [INFO] GET /healthz 200 (took 0.3ms) │
│                                               │   │                                               │
│   [CRITICAL ERROR SCROLLED OFF BUFFER]        │   │   [NOISE COLLAPSED • ERROR BOXED • 0 DRIFT]   │
└───────────────────────────────────────────────┘   └───────────────────────────────────────────────┘
```

**LogShrink** solves this with **zero configuration**. It dynamically aggregates repetitive polling noise into live counter badges like `[-] [x480 suppressed]` while preserving the first occurrence, auto-boxes multi-line stack traces (Python, Go, Java, Rust, Node.js), and exports incident postmortems straight to Markdown or your system clipboard.

---

<a id="feature-comparison"></a>
## 📊 Feature Comparison

Why use **LogShrink** instead of standard Unix utilities or heavyweight observability platforms?

| Capability | LogShrink | `grep -v` / `awk` | `lnav` | `grc` / `colortail` | Datadog / ELK |
|---|:---:|:---:|:---:|:---:|:---:|
| **Dynamic Suppression** | ✅ **Yes** (live counter badge) | ❌ No (blind deletion) | ⚠️ Manual filter query | ❌ No (all lines printed) | ✅ Yes (server aggregation) |
| **First Occurrence Preserved** | ✅ **Yes** (full initial context) | ❌ No (deleted entirely) | ⚠️ Hidden | ❌ No | ✅ Indexed |
| **Multi-Line Trace Grouping** | ✅ **Yes** (native 5 languages) | ❌ Breaks multi-line context | ⚠️ Requires format setup | ❌ Line-by-line regex only | ⚠️ Requires backend config |
| **Zero Configuration** | ✅ **Yes** (works out of box) | ❌ Complex piped regexes | ⚠️ TUI learning curve | ❌ Requires custom configs | ❌ Daemons & clusters |
| **Sub-15ms Cold Start** | ✅ **Yes** (< 15 ms) | ✅ Yes (< 5 ms) | ⚠️ ~150–250 ms | ⚠️ ~50 ms | ❌ N/A (Web UI) |
| **External Dependencies** | ✅ **0** (pure Python stdlib) | ✅ 0 (POSIX tools) | ⚠️ C++ binaries & libs | ⚠️ Python packages | ❌ Heavy agents & JVM |
| **Incident Markdown Export** | ✅ **`--export report.md`** | ❌ Manual piping | ⚠️ Manual file save | ❌ None | ⚠️ Web dashboard |
| **Instant Clipboard Copy** | ✅ **`--copy`** (1-click Slack paste) | ❌ Pipe to `pbcopy`/`xclip` | ❌ None | ❌ None | ❌ Manual |
| **Unix Stream & Pipe Friendly** | ✅ **Native** (`tail -f`, pipes) | ✅ Native | ⚠️ Full-screen TUI | ✅ Native | ❌ Network ingestion |
| **Adaptive ANSI Highlighting** | ✅ **Yes** (respects `NO_COLOR`) | ❌ None | ✅ Yes | ✅ Yes | ❌ Web styling only |

---

<a id="quickstart"></a>
## ⚡ Quickstart & Production Recipes

LogShrink behaves like a standard Unix pipe: pipe any command into `logshrink`, or pass files directly.

### 🐳 Docker & Docker Compose
```bash
# Follow all services in Docker Compose
docker compose logs -f --tail=100 | logshrink

# Strip Docker container prefixes and follow specific container
docker logs -f my-api-backend | logshrink -p docker
```

### ☸️ Kubernetes Pods & Deployments
```bash
# Live stream logs across all replicas of a deployment
kubectl logs -f deployment/api-gateway --tail=50 --max-log-requests=10 | logshrink

# Filter production pod down to warnings and fatal incidents only
kubectl logs -f pod/payment-worker-8d76b -n production | logshrink --errors-only
```

### 🐧 Systemd Journal & Linux Daemons
```bash
# Nginx or Caddy web server
journalctl -u nginx.service -f -n 200 | logshrink -p web

# Follow any system service cleanly
journalctl -u backend.service -f -o cat | logshrink
```

### 🚀 Backend Frameworks
```bash
# Python: FastAPI / Uvicorn / Flask
uvicorn app.main:app --reload | logshrink

# Python: Django / Gunicorn
gunicorn config.wsgi:application --access-logfile - | logshrink -p web

# Node.js: Express, NestJS, Next.js
npm run dev | logshrink

# Go: Gin, Fiber, Chi
go run ./cmd/server | logshrink

# Rust: Axum, Actix-web, Tokio
cargo run | logshrink
```

### 📋 Instant Incident Report for Slack & GitHub
When an unexpected crash occurs, generate an instant postmortem Markdown report and copy it to your clipboard with a single command:
```bash
logshrink /var/log/app.log --export incident_report.md --copy
```

**Generated Markdown Output (`incident_report.md`):**
```markdown
# 🚨 LogShrink Incident & Noise Reduction Report

- **Generated At**: `2026-10-13 19:04:15`
- **Source**: `/var/log/app.log`
- **Total Lines Processed**: `14,820`
- **Noise Suppressed**: `14,350 (96.8%)`
- **Unique Incidents Detected**: `1`

## 📊 Incident Overview

| ID | Level | Occurrences | First Seen | Last Seen | Summary |
|---|---|---|---|---|---|
| #1 | **ERROR** | 1x | `19:04:12` | `19:04:12` | `ERROR: Database deadlock detected!` |

---

## 🔍 Detailed Incident Logs

### Incident #1 — ERROR (1x)
- **First Seen**: `19:04:12`
- **Last Seen**: `19:04:12`

```log
2026-10-13 19:04:12 [ERROR] Database deadlock detected!
Traceback (most recent call last):
  File "/app/db.py", line 42, in query
    raise OperationalError("deadlock detected")
```
```

---

<a id="demo"></a>
## 🖥️ Live Terminal Walkthrough

Test LogShrink immediately with the included synthetic demo stream:

```bash
python -m logshrink demo.log
```

```text
2026-10-13 19:00:00.123 [INFO] App initialized on port 8080
2026-10-13 19:00:01.001 [INFO] GET /healthz 200 OK (took 0.4ms)
  [-] [x5 suppressed] [INFO] GET /healthz 200 OK (last seen 23:18:49)
▲ 2026-10-13 19:00:06.100 [WARN] High memory consumption detected: 82% threshold reached
2026-10-13 19:00:07.001 [INFO] GET /healthz 200 OK (took 0.4ms)
  [-] [x2 suppressed] [INFO] GET /healthz 200 OK (last seen 23:18:49)
┌── INCIDENT #1: ERROR ─────────────────────────────────────────────────
│ 2026-10-13 19:00:09.500 [ERROR] Failed to connect to Redis cache cluster at 10.0.0.45:6379
│ Traceback (most recent call last):
│   File "/app/cache/redis.py", line 48, in connect
│     sock.connect((self.host, self.port))
│   File "/usr/local/lib/python3.12/socket.py", line 710, in connect
│     raise ConnectionRefusedError(errno.ECONNREFUSED, 'Connection refused')
│ ConnectionRefusedError: [Errno 111] Connection refused
└───────────────────────────────────────────────────────────────────────
2026-10-13 19:00:10.001 [INFO] Fallback to in-memory cache activated
2026-10-13 19:00:11.001 [INFO] GET /healthz 200 OK (took 0.2ms)
  [-] [x3 suppressed] [INFO] GET /healthz 200 OK (last seen 23:18:49)
─── LogShrink Summary ────────────────────────────────────
  Total lines processed : 20
  Lines passed through  : 13
  Lines suppressed      : 7 (35.0% noise reduced)
  Incidents captured    : 1
  Processing time       : 0.00s (7,263 lines/sec)
──────────────────────────────────────────────────────────
```

---

<a id="github-actions-ci"></a>
## 🤖 GitHub Actions CI Integration

Deduplicate noisy build outputs and automatically render clean incident postmortems in your GitHub Actions workflow summary in **3 lines of YAML**:

```yaml
- name: Clean & Summarize CI Logs
  uses: umutgungorr/logshrink@v1
  with:
    log-file: ci-test-run.log
```

### 🌟 Why Use LogShrink in GitHub Actions?
- **No More CI Truncation**: GitHub Actions truncates browser log viewers when output exceeds buffer limits. LogShrink suppresses repetitive polling noise (e.g. health checks, heartbeat pings) while preserving every unique error.
- **Native Step Summary**: Automatically appends a rich Markdown incident card to `$GITHUB_STEP_SUMMARY`, so your team sees root-cause stack traces without downloading raw artifacts.
- **Cross-Platform Runner Support**: Runs seamlessly on `ubuntu-latest`, `macos-latest`, and `windows-latest`.
- **Lightning Fast (< 2s)**: Zero external dependencies means instant setup and execution in your pipeline.

### 📋 Full Production Workflow Recipe

```yaml
name: Test Suite & Service Checks

on: [push, pull_request]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: '3.12'

      - name: Run Integration Tests & Save Log
        id: run-tests
        run: |
          pytest -v 2>&1 | tee test-output.log
        continue-on-error: true

      - name: Process Logs with LogShrink
        id: logshrink
        uses: umutgungorr/logshrink@v1
        with:
          log-file: test-output.log
          summary: 'true'
          export-file: test-incidents.md

      - name: Fail CI if Incidents Detected
        if: steps.run-tests.outcome == 'failure' || steps.logshrink.outputs.incident-count > 0
        run: |
          echo "Detected ${{ steps.logshrink.outputs.incident-count }} critical incidents in test run!"
          exit 1
```

### ⚙️ Action Inputs

| Input | Description | Required | Default |
|---|---|:---:|:---:|
| `log-file` | Path to the log file to clean and analyze | **Yes** | — |
| `summary` | Write formatted markdown incident report to `$GITHUB_STEP_SUMMARY` | No | `'true'` |
| `export-file` | File path to export markdown incident report file | No | `''` |
| `options` | Additional CLI flags (e.g. `--errors-only`, `--preset docker`) | No | `''` |
| `fail-on-error` | Fail the action step with exit code 1 if any error incidents are detected | No | `'false'` |

### 📤 Action Outputs

| Output | Description |
|---|---|
| `incident-count` | Total count of detected unique error incidents and stack traces |
| `reduced-percentage` | Percentage of repetitive polling noise suppressed (e.g. `85.4`) |
| `suppressed-lines` | Total number of noise lines suppressed |
| `total-lines` | Total number of lines processed |

---

<a id="installation"></a>
## 📦 Installation

LogShrink has **zero external dependencies** and works out-of-the-box on Linux, macOS, and Windows with any Python 3.9+ runtime.

### ⚡ Instant execution with `uvx` (Zero installation required)
```bash
# Run directly from repository
uvx --from git+https://github.com/umutgungorr/logshrink.git logshrink --help

# Pipe anywhere
docker compose logs -f | uvx --from git+https://github.com/umutgungorr/logshrink.git logshrink
```

### 🔒 Isolated install via `pipx` (Recommended for CLI tools)
```bash
pipx install git+https://github.com/umutgungorr/logshrink.git
```

### 🐍 Standard install via `pip`
```bash
# From GitHub repository
pip install git+https://github.com/umutgungorr/logshrink.git

# Or standard PyPI install (once published)
pip install logshrink
```

### 🛠️ Build from source
```bash
git clone https://github.com/umutgungorr/logshrink.git
cd logshrink
pip install -e .
```

---

<a id="cli-reference"></a>
## ⚙️ CLI Reference

```text
usage: logshrink [-h] [-f] [-t THRESHOLD] [-w WINDOW]
                 [-p {auto,docker,json,web,raw}] [-e]
                 [--export PATH] [--copy] [-i REGEX]
                 [--no-color] [--no-stats] [-v]
                 [FILE ...]
```

### Options & Flags

| Flag | Short | Type | Default | Description |
|---|:---:|:---:|:---:|---|
| `FILE ...` | — | `path` | `stdin` | Path to log file(s). Reads continuous stream from standard input if omitted or `-`. |
| `--follow` | `-f` | `bool` | `False` | Follow appended file operations in real time (equivalent to `tail -f`). |
| `--threshold` | `-t` | `int` | `2` | Minimum consecutive/pattern occurrences required before collapsing repetitions. |
| `--window` | `-w` | `float` | `5.0` | Sliding time-window debounce threshold (in seconds) for recurring patterns. |
| `--preset` | `-p` | `choice` | `auto` | Log format parser: `auto`, `docker`, `json`, `web`, `raw`. |
| `--errors-only` | `-e` | `bool` | `False` | Discard all routine noise; only output errors, warnings, and stack traces. |
| `--export` | — | `path` | `None` | Export all detected error incidents to a formatted Markdown report file. |
| `--copy` | — | `bool` | `False` | Copy detected incidents report directly to system clipboard upon completion. |
| `--ignore` | `-i` | `regex` | `[]` | Regex pattern to discard matching lines completely (repeatable). |
| `--no-color` | — | `bool` | `False` | Disable ANSI colors and boxes (also respects standard `NO_COLOR=1`). |
| `--no-stats` | — | `bool` | `False` | Suppress the final noise reduction summary card upon completion. |
| `--version` | `-v` | `bool` | — | Show program version and exit. |
| `--help` | `-h` | `bool` | — | Show help message and command-line usage. |

### Presets

- **`auto`** *(default)*: Dynamically detects JSON lines, Docker compose container prefixes, and standard ISO/Syslog timestamped logs.
- **`docker`**: Strips container prefixes (e.g. `api-server_1 | `) and container engine run timestamps.
- **`json`**: Unpacks structured JSON fields (`level`, `msg`, `message`, `status`, `path`) into compact human signatures.
- **`web`**: Tailored for HTTP access logs (Nginx, Apache, Caddy, Uvicorn), extracting method, route, and status code.
- **`raw`**: Performs strict line-by-line deduplication without fuzzy masking.

---

<a id="pipeline-architecture"></a>
## 🔬 How It Works: Pipeline Architecture

LogShrink processes streaming log events through a high-performance 5-stage pipeline designed for **$O(1)$ constant memory consumption**:

```text
 ┌────────────────────────────────────────────────────────┐
 │           Incoming Stream (stdin / tail -f)            │
 └───────────────────────────┬────────────────────────────┘
                             │
                             ▼
 ┌────────────────────────────────────────────────────────┐
 │ 1. Ingestion & Preset Tokenizer                        │
 │    • Strips container tags (`backend_1 |`)             │
 │    • Extracts structured JSON fields (`msg`, `level`)  │
 │    • Normalizes Web access patterns (`GET /healthz`)   │
 └───────────────────────────┬────────────────────────────┘
                             │
                             ▼
 ┌────────────────────────────────────────────────────────┐
 │ 2. Dynamic Pattern Normalizer                          │
 │    • Masks ephemeral timestamps (`<TIMESTAMP>`)        │
 │    • Masks UUIDs, IPv4/IPv6, hex addresses (`0x7f...`) │
 │    • Masks durations (`0.4ms`), ports (`:8080`), sizes │
 │    • Computes canonical pattern fingerprint            │
 └───────────────────────────┬────────────────────────────┘
                             │
                             ▼
 ┌────────────────────────────────────────────────────────┐
 │ 3. Multi-Pattern Sliding-Window Aggregator             │
 │    • Maintains separate debouncing state per pattern   │
 │    • Tracks repetition counts within time window       │
 │    • Suppresses lines meeting threshold (default: >=2) │
 └───────────────────────────┬────────────────────────────┘
                             │
                             ▼
 ┌────────────────────────────────────────────────────────┐
 │ 4. Incident Boundary Detector                          │
 │    • Detects multi-line traces (Python, Go, Java,      │
 │      Rust, Node.js async traces)                       │
 │    • Captures HTTP 5xx server exceptions               │
 │    • Filters false positives (`0 errors`, `err: nil`)  │
 └───────────────────────────┬────────────────────────────┘
                             │
                             ▼
 ┌────────────────────────────────────────────────────────┐
 │ 5. Terminal & Incident Exporter                        │
 │    • High-contrast ANSI bounding boxes for incidents   │
 │    • Live suppression counter badges                   │
 │    • Markdown postmortem report generator              │
 │    • Direct system clipboard integration               │
 └────────────────────────────────────────────────────────┘
```

1. **Ingestion & Preset Tokenizer**: Fast pre-filtering that strips environment artifacts (such as Docker Compose container names or syslog headers) while preserving the underlying message.
2. **Dynamic Pattern Normalizer**: Converts transient variable data into stable tokens without requiring complex regexes from the user. Timestamps, request IDs, IP addresses, memory pointers, and microsecond latencies are unified into a canonical signature.
3. **Multi-Pattern Sliding-Window Aggregator**: Avoids buffer explosions by keeping rolling pattern hashes. If multiple periodic events interleave (e.g., metric scrape A followed by heartbeat B), both are independently tracked and suppressed without losing count.
4. **Incident Boundary Detector**: Inspects lines for error severity tokens and multi-line exception starters across 5 major programming languages. Blocks false positives such as `0 errors found` or `err: nil`.
5. **Terminal & Incident Exporter**: Highlights true errors inside ANSI border boxes, renders compact badges for collapsed noise, and produces markdown exports for incident postmortems.

---

<a id="benchmarks"></a>
## 🚀 Benchmarks & Performance

Benchmarked against a 100,000-line synthetic log stream (containing interleaved healthchecks, metrics, warnings, and stack traces):

| Benchmark Metric | LogShrink | Standard `grep -v` Pipeline |
|---|:---:|:---:|
| **Cold Start Time** | **< 15 ms** (POSIX) / < 50 ms (Win) | ~ 5 ms |
| **Stream Throughput** | **10,000+ lines/sec** | ~ 80,000 lines/sec |
| **Memory Consumption (Heap)** | **< 10 MB** (constant $O(1)$) | ~ 10 MB |
| **Multi-Line Incident Grouping** | **Automatic (5 languages)** | ❌ Not supported |
| **Noise Reduction Ratio** | **94% – 99%** | Manual regex dependent |
| **Crash Context Preservation** | **100% (No data loss)** | ❌ Breaks multi-line context |

---

<a id="test-suite"></a>
## 🧪 Comprehensive Test Suite

LogShrink has **100% passing tests** with 84% branch coverage:

```bash
# Run complete pytest test suite
pytest

# Run tests with detailed line coverage report
pytest --cov=src/logshrink --cov-report=term-missing
```

The 59-test suite covers:
- ✅ Multi-language stack trace boundaries (Python, Go, Java, Rust, Node.js)
- ✅ Ephemeral masking for UUIDs, IPv4/IPv6, ephemeral ports, hex pointers, durations, and sizes
- ✅ Interleaved recurring pattern collapsing and debouncing
- ✅ False-positive phrase suppression (`err: nil`, `0 errors`, `status=ok error=none`)
- ✅ Web access HTTP 5xx error and 4xx warning boundary isolation
- ✅ Docker JSON file driver log payload extraction
- ✅ Real-time follow mode (`-f`) and file rotation handling
- ✅ Clean broken pipe handling (`SIGPIPE`) in CLI pipelines
- ✅ System clipboard (`pbcopy`, `wl-copy`, `xclip`, `clip.exe`) and Markdown export formatters

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<a id="ecosystem"></a>
## ⚡ Part of the Developer Diagnostics Suite

LogShrink is part of the zero-dependency **Developer Diagnostics Suite** by [@umutgungorr](https://github.com/umutgungorr):

- 🌲 **[PortTree](https://github.com/umutgungorr/porttree)**: Dev socket tree scanner, Docker proxy unmasker, and process-tree killer.
- ⚡ **[LogShrink](https://github.com/umutgungorr/logshrink)**: Zero-config CLI stream filter that collapses noisy polling logs and auto-boxes stack traces.
- 🩺 **[RepoPulse](https://github.com/umutgungorr/repopulse)**: Git forensic health, architectural hotspot churn, and bus-factor risk engine.

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<a id="contributing"></a>
## 🤝 Contributing

Contributions, issues, and feature requests are welcome!

1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Run formatting and tests (`ruff check . && pytest`)
4. Commit your changes (`git commit -m 'feat: add amazing feature'`)
5. Push to the branch (`git push origin feature/amazing-feature`)
6. Open a Pull Request

Please refer to [CONTRIBUTING.md](CONTRIBUTING.md) and [CODE_OF_CONDUCT.md](CODE_OF_CONDUCT.md) for detailed guidelines.

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<a id="license"></a>
## 📄 License

Distributed under the **MIT License**. See [LICENSE](LICENSE) for more information.

Copyright © 2026 [Umut Güngör](https://github.com/umutgungorr).
