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log-error-digest

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.

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JantonioFC/skillsbank
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2026년 8월 4일 03:15
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SKILL.md
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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.
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 ```bash 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 ```bash # 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. ## Activation Triggers Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or get distribution stats.
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