patterndb-yaml 0.2.0

YAML-based pattern matching with multi-line capabilities for log normalization using syslog-ng patterndb

patterndb-yaml

YAML-based pattern matching with multi-line capabilities for log normalization using syslog-ng patterndb

What is patterndb-yaml?

patterndb-yaml brings intuitive YAML pattern definitions to syslog-ng's proven patterndb engine. Instead of writing complex XML patterns, you define rules in readable YAML and let patterndb-yaml handle the translation to syslog-ng's efficient pattern matcher.

This makes it easier to normalize heterogeneous logs - transforming different log formats into standardized output for comparison, analysis, or filtering.

Features

• YAML rules - Readable pattern definitions instead of syslog-ng XML
• Field extraction - Pull specific data (table names, IDs, etc.) from matched lines
• Pattern matching - Powered by syslog-ng's efficient C implementation
• Multi-line sequences - Handle log entries spanning multiple lines
• Explain mode - Debug which patterns matched and why
• CLI and Python API - Use as a command-line tool or library

Installation

Requirements: Python 3.9+, syslog-ng 4.10.1+

⚠️ Important: patterndb-yaml requires syslog-ng to be installed from official repositories (distro defaults may be incompatible).

See SYSLOG_NG_INSTALLATION.md for platform-specific instructions.

Via Homebrew (macOS + Linux) - Recommended

brew tap JeffreyUrban/patterndb-yaml && brew install patterndb-yaml

✅ Automatically installs syslog-ng as a dependency. Homebrew manages all dependencies and provides easy updates via brew upgrade.

Via pipx (Alternative)

⚠️ Manual Setup Required: You must install syslog-ng separately before using pipx.

# STEP 1: Install syslog-ng from official repos (REQUIRED)
# See docs/SYSLOG_NG_INSTALLATION.md for your platform

# STEP 2: Install patterndb-yaml
pipx install patterndb-yaml

pipx installs in an isolated environment with global CLI access. Update with pipx upgrade patterndb-yaml.

Via pip

⚠️ Manual Setup Required: You must install syslog-ng separately before using pip.

# STEP 1: Install syslog-ng from official repos (REQUIRED)
# See docs/SYSLOG_NG_INSTALLATION.md for your platform

# STEP 2: Install patterndb-yaml
pip install patterndb-yaml

Use pip if you want to use patterndb-yaml as a library in your Python projects.

From Source

# Development installation
git clone https://github.com/JeffreyUrban/patterndb-yaml
cd patterndb-yaml
pip install -e ".[dev]"

Windows

Windows is not currently supported. Consider using WSL2 (Windows Subsystem for Linux) and following the Linux installation instructions.

Requirements: Python 3.9+, syslog-ng (installed automatically with Homebrew)

Quick Start

Command Line

Create a YAML rules file (rules.yaml):

rules:
  - name: log_info
    pattern:
      - text: "["
      - text: "INFO"
      - text: "] "
      - field: message
    output: "[info:{message}]"

  - name: log_error
    pattern:
      - text: "["
      - text: "ERROR"
      - text: "] "
      - field: message
    output: "[error:{message}]"

Process your logs:

# Process from stdin
cat app.log | patterndb-yaml --rules rules.yaml

# Process a file
patterndb-yaml --rules rules.yaml --input app.log

# Get statistics
patterndb-yaml --rules rules.yaml --input app.log --stats

Python API

from patterndb_yaml import PatterndbYaml
from pathlib import Path

# Initialize with rules
processor = PatterndbYaml(rules_path=Path("rules.yaml"))

# Process logs
with open("app.log") as infile, open("clean.log", "w") as outfile:
    processor.process(infile, outfile)

# Get statistics
stats = processor.get_stats()
print(f"Matched {stats['lines_matched']} of {stats['lines_processed']} lines")
print(f"Match rate: {stats['match_rate']:.1%}")

Use Cases

• Log Normalization - Transform heterogeneous log formats into standardized output
• Data Extraction - Pull structured data from unstructured log lines
• Log Filtering - Identify and process specific log patterns
• Format Standardization - Convert legacy log formats to modern structured formats
• Compliance - Normalize logs for security analysis and auditing

How It Works

patterndb-yaml uses syslog-ng's patterndb engine for efficient pattern matching:

1. YAML → XML - Converts your readable YAML rules into syslog-ng's XML patterndb format
2. Pattern Matching - Uses syslog-ng's C implementation for fast, memory-efficient matching
3. Field Extraction - Pulls named fields from matched patterns
4. Output Transformation - Applies output templates to normalize log format

The system processes logs line-by-line with constant memory usage, making it suitable for large files and streaming data.

Documentation

Read the full documentation at patterndb-yaml.readthedocs.io

Key sections:

• Getting Started - Installation and quick start guide
• Use Cases - Real-world examples across different domains
• Guides - Pattern design, performance tips, common patterns
• Reference - Complete CLI and Python API documentation

Development

# Clone repository
git clone https://github.com/JeffreyUrban/patterndb-yaml.git
cd patterndb-yaml

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run with coverage
pytest --cov=patterndb_yaml --cov-report=html

# Build documentation
cd docs && mkdocs build

Performance

• Time complexity: O(n) where n is number of log lines
• Space complexity: O(1) constant memory for processing
• Throughput: Processes logs line-by-line with streaming support
• Memory: Minimal memory footprint, suitable for large files

Performance is determined by syslog-ng's patterndb engine, which uses efficient C implementations for pattern matching.

License

MIT License - See LICENSE file for details

Author

Jeffrey Urban

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