log-error-digest

name	log-error-digest
description	Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or get distribution stats.
license	MIT
type	tool
tags	["logs","analysis","devops","monitoring"]

Log Error Digest

Automated log file analysis that produces error clustering, frequency statistics, and time distribution reports.

Features

• Error Clustering: Groups similar error messages by normalizing dynamic parts (IPs, UUIDs, numbers, etc.) to identify root causes
• Frequency Statistics: Counts occurrences by error type, sorted by severity
• Time Distribution: Shows error distribution by hour and by date, helping pinpoint peak error periods

Supported Log Formats

Format	Description	Auto-detection
JSON	One JSON object per line with timestamp/level/message fields	Starts with {
syslog	RFC 3164 format, e.g. Jan 1 12:00:00 host proc[pid]: msg	Starts with month name
Nginx	Access log or error log format	Starts with IP or date/path pattern

Usage

python scripts/analyze_logs.py <log_file_path> [options]

Parameters

Parameter	Description	Default
log_file	Path to the log file (required)	-
--format	Log format: auto/json/syslog/nginx	auto
--top	Show Top N error clusters	20
--output	Export results to a JSON file	Terminal output only
--level	Filter by log level (e.g. ERROR, WARN)	All levels
--since	Only analyze logs after this time (ISO format)	No limit
--until	Only analyze logs before this time (ISO format)	No limit

Examples

# Auto-detect format and analyze the entire log file
python scripts/analyze_logs.py /var/log/app.log

# Specify Nginx format, show only Top 10 errors
python scripts/analyze_logs.py /var/log/nginx/error.log --format nginx --top 10

# Filter ERROR level only, export JSON report
python scripts/analyze_logs.py app.log --level ERROR --output report.json

# Analyze logs within a specific time range
python scripts/analyze_logs.py app.log --since 2024-01-01T00:00:00 --until 2024-01-02T00:00:00

Output

Terminal Output

=======================================================
              Log Analysis Report
=======================================================

📊 Overview
  Detected format: json
  Total lines:     15,234
  Parsed:          15,100 (parse failures: 134)
  Matched entries: 12,800
  Errors:          2,341
  Time range:      2024-01-01 00:03:12 ~ 2024-01-01 23:58:45

🔴 Top Error Clusters (47 total)
  #1   [×523  ] Connection refused to database at 10.0.1.5:5432
       First seen: 2024-01-01T00:15:30  Last seen: 2024-01-01T23:45:12
  #2   [×312  ] Timeout waiting for response from user-service after 30000ms
       First seen: 2024-01-01T02:10:00  Last seen: 2024-01-01T22:30:45
  #3   [×198  ] File not found: /data/uploads/img_99421.png
       First seen: 2024-01-01T08:00:00  Last seen: 2024-01-01T20:15:33
  ...

⏰ Time Distribution (by hour)
  00:00  █████░░░░░░░░░░░░░░░  42
  01:00  ██░░░░░░░░░░░░░░░░░░  18
  ...
  14:00  ████████████████████  523
  ...

📅 Time Distribution (by date)
  2024-01-01  ████████████████████  2,341

JSON Output

Use the --output parameter to export a structured JSON report for further processing or integration with monitoring systems.