- 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.
在 GitHub 查看