Skip to main content

A CLI tool to analyze journalctl logs with specific parsers and LLM integration.

Project description

LogWatch Analyzer

License: MIT Python 3.8+

LogWatch Analyzer is a command-line tool to analyze system logs from journalctl on Linux systems. It uses a YAML configuration file to define specific analysis tasks and can leverage a Large Language Model (LLM) via Ollama, Gemini, or other providers for in-depth analysis and report generation.

Features

  • Configurable Analysis: Define which logs to analyze directly in the config.yaml file.
  • Specific Parsers: Includes optimized parsers for common events like failed SSH logins and kernel errors.
  • LLM Integration: Utilizes a Large Language Model for generic analysis and generating human-readable reports.
  • Flexible Output: Displays results in formatted tables in the terminal or generates reports in Markdown format.
  • Simple CLI Interface: Easy to use with arguments to list tasks, run specific ones, and set time windows.

Installation

You can install LogWatch Analyzer from PyPI:

pip install logwatch-analyzer

Configuration

To use LogWatch Analyzer, you need a config.yaml file. The script looks for this file in the following locations, in order of priority:

  1. ~/.config/logwatch/config.yaml (Recommended for users)
  2. config.yaml in the current directory where you run the command.

Create the file in one of these locations. The recommended approach is to create a user-specific configuration:

mkdir -p ~/.config/logwatch
touch ~/.config/logwatch/config.yaml

Then, paste the following content into your config.yaml file and customize it to your needs.

# Configuration file for LogWatch

# Section for LLM provider configuration
# NOTE: The model names provided below are examples. 
# Please replace them with the actual models you intend to use.
llm_providers:
  ollama:
    type: "ollama"
    api_url: "http://localhost:11434/api/generate"
    model: "llama3.2:latest" # Example model
    timeout: 120 # Request timeout in seconds

  gemma:
    type: "gemini"
    # The URL for Gemma-3-27b-it. Change it if you want to use another model.
    api_url: "https://generativelanguage.googleapis.com/v1beta/models/gemma-3-27b-it:generateContent"
    # The API key will be read from the environment variable specified here.
    api_key_env: "GEMINI_API_KEY"
    timeout: 60 # Request timeout in seconds

  gemini:
    type: "gemini"
    # The URL for Gemini 1.5 Flash. Change it if you want to use another model.
    api_url: "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent"
    # The API key will be read from the environment variable specified here.
    api_key_env: "GEMINI_API_KEY"
    timeout: 60 # Request timeout in seconds

  openrouter:
    type: "openrouter"
    api_url: "https://openrouter.ai/api/v1/"
    # You can change the model here. Examples: "google/gemma-2-9b-it", "anthropic/claude-3-haiku"
    model: "qwen/qwen-2.5-coder-32b-instruct:free" # Example model
    #model: "deepseek/deepseek-chat-v3-0324:free"
    #model: "openai/gpt-oss-20b:free"
    api_key_env: "OPENROUTER_API_KEY"
    timeout: 60 # Request timeout in seconds

# Choose which LLM provider to use from the ones defined above.
active_llm_provider: "ollama"


# Definition of log analysis tasks
logs:
  - name: "SSH Failed Logins"
    command: "journalctl -u sshd -p err -o json --no-pager --since '1 day ago'"
    parser: "ssh_parser"
    # Filters to ignore irrelevant logs (examples)
    filters:
      - "pam_unix(sshd:auth): authentication failure" # Often redundant if you only look at "Failed password"

  - name: "Sudo Usage"
    command: "journalctl /usr/bin/sudo -o json --no-pager --since '1 day ago'"
    parser: "llm_parser"
    filters:
      - "pam_unix(sudo:session): session opened for user root"
      - "pam_unix(sudo:session): session closed for user root"

  - name: "Kernel Errors"
    command: "journalctl -k -p err -o json --no-pager --since '1 day ago'"
    parser: "kernel_parser"
    filters: []

  - name: "General System Analysis"
    command: "journalctl -p err -o json --no-pager --since '1 hour ago'"
    parser: "llm_parser"
    filters: []

Usage

The tool is available as the logwatch command.

List all available tasks

To see a list of all tasks defined in your config.yaml:

logwatch --list

Run a specific task

To execute a single analysis task:

logwatch --task "SSH Failed Logins"

Run all tasks

To run all tasks in sequence:

logwatch

Generate a Report File

For tasks that use the llm_parser, you can save the generated report to a Markdown file:

logwatch --task "Sudo Usage" --output report_sudo.md

Override the Time Window

You can specify a different time range from the one in the configuration file on the fly:

logwatch --task "Kernel Errors" --since "2 hours ago"

License

This project is licensed under the MIT License. See the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

logwatch_analyzer-0.1.8.tar.gz (9.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

logwatch_analyzer-0.1.8-py3-none-any.whl (11.4 kB view details)

Uploaded Python 3

File details

Details for the file logwatch_analyzer-0.1.8.tar.gz.

File metadata

  • Download URL: logwatch_analyzer-0.1.8.tar.gz
  • Upload date:
  • Size: 9.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for logwatch_analyzer-0.1.8.tar.gz
Algorithm Hash digest
SHA256 564e2506ee7ec563229d4f06a48d87baf16459e1d37f9fb5ff9de7f39cff57f1
MD5 be41b3e5c46b0ded3a0e18d47983a3ef
BLAKE2b-256 3ac44fdc815edc0babe1a6f51f4911c1491beed6730fedbd12a49a42ec7c6ebb

See more details on using hashes here.

File details

Details for the file logwatch_analyzer-0.1.8-py3-none-any.whl.

File metadata

File hashes

Hashes for logwatch_analyzer-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 c4fb4409a52ca81c991f038f064d9d5e1f55ad90c27c0e2937fda33eeb5aa83b
MD5 9ece86142152cf3b2101d021cbe6caa8
BLAKE2b-256 9f2863fc1721f41eda6dc1014518b625b724aab62359e3d05cf6e19cbc85a2c6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page