Convert LOG to Textile
Max file size 100mb.
LOG vs Textile Format Comparison
| Aspect | LOG (Source Format) | Textile (Target Format) |
|---|---|---|
| Format Overview |
LOG
Plain Text Log File
Unstructured or semi-structured plain text files containing timestamped event records. Used universally for debugging, monitoring, and auditing across operating systems, web servers, and applications. No formal specification governs the format. Plain Text Event Records |
Textile
Textile Markup Language
Lightweight markup language created by Dean Allen for web content authoring. Textile converts simple, readable text notation into valid HTML. It offers a balance between simplicity and expressive power, with native support for tables, text styling, images, links, and block elements. Widely used in wiki systems and CMS platforms. Markup Language Wiki-Friendly |
| Technical Specifications |
Structure: Line-oriented plain text
Encoding: Typically UTF-8 or ASCII Format: No formal specification Compression: None (often gzipped for archives) Extensions: .log |
Structure: Line-based lightweight markup
Encoding: UTF-8 Format: Textile specification (Dean Allen) Compression: None Extensions: .textile |
| Syntax Examples |
Typical log file entries: 2025-01-15 08:23:01 [INFO] Server started on port 8080 2025-01-15 08:23:05 [WARN] Slow query detected: 2.3s 2025-01-15 08:23:12 [ERROR] Connection timeout to db-host |
Textile uses simple text notation: h1. Server Log Report |_. Timestamp |_. Level |_. Message | | 08:23:01 | INFO | Server started | | 08:23:05 | *WARN* | Slow query: 2.3s | | 08:23:12 | *ERROR* | Connection timeout | p. Total events: 3 |
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| Version History |
Introduced: Early computing era
Current Version: No formal versioning Status: Universally used Evolution: Structured logging (JSON) gaining popularity |
Introduced: 2002 (Dean Allen)
Current Version: Textile 2 Status: Stable, maintained Evolution: Implementations in multiple languages |
| Software Support |
Viewers: Any text editor, terminal
Analysis: grep, awk, ELK Stack, Splunk Generators: Every application and OS Other: Logrotate, syslog, journalctl |
Redmine: Native Textile support
Textpattern: Native format Libraries: RedCloth (Ruby), textile (Python/PHP) Other: Pandoc, various wiki engines |
Why Convert LOG to Textile?
Converting LOG files to Textile markup is particularly valuable for teams that use Redmine, Textpattern, or other platforms where Textile is the native formatting language. When you need to post log analysis results, incident reports, or system status summaries to a Redmine wiki page or issue tracker, Textile format ensures the content renders with proper headings, formatted tables, bold text for emphasis, and code blocks for raw log excerpts, all without manual HTML editing.
Textile has one of the most intuitive table syntaxes among lightweight markup languages. The pipe-based notation with header row markers (|_.) creates well-formatted HTML tables that are perfect for displaying tabular log data. Each log entry becomes a table row with aligned columns for timestamp, severity, source, and message. Unlike Markdown, Textile tables support column spanning, row attributes, and CSS class assignments, giving you fine-grained control over how log data is presented.
The format's support for inline CSS classes and ID attributes is a distinctive advantage over simpler markup languages. You can assign custom CSS classes to table rows based on severity level, allowing your wiki or CMS to apply different background colors to ERROR, WARNING, and INFO entries automatically. This visual differentiation transforms a monotonous text table into an immediately scannable color-coded report without requiring any HTML knowledge from the content author.
Textile also handles code blocks and preformatted text elegantly, which is essential for including raw log excerpts, stack traces, and error messages in documentation. The bc. (block code) and pre. (preformatted) blocks preserve exact spacing and formatting, ensuring that technical content like exception traces and configuration dumps appear exactly as they do in the original log files. This combination of formatted documentation and preserved raw data makes Textile an excellent format for technical log reporting.
Key Benefits of Converting LOG to Textile:
- Redmine Native: Post directly to Redmine wiki pages and issue descriptions
- Rich Table Support: Header rows, column spanning, and CSS class attributes
- Clean HTML Output: Converts to valid, semantic HTML automatically
- Code Block Preservation: Stack traces and raw logs displayed with proper formatting
- CSS Class Support: Color-code severity levels via custom CSS classes
- Readable Source: Textile source is human-readable even without rendering
- Wiki Integration: Works natively with multiple wiki and CMS platforms
Practical Examples
Example 1: Redmine Issue Report
Input LOG file (error.log):
2025-03-01 14:22:01 [ERROR] NullPointerException in OrderService.process() 2025-03-01 14:22:01 [ERROR] at com.app.OrderService.process(OrderService.java:87) 2025-03-01 14:22:01 [ERROR] at com.app.Controller.handleOrder(Controller.java:42) 2025-03-01 14:22:02 [INFO] Request #45123 failed with status 500 2025-03-01 14:22:05 [INFO] Alert sent to on-call team
Output Textile file (error_report.textile):
h1. Error Report: NullPointerException h2. Summary |_. Field |_. Value | | Date | 2025-03-01 | | Severity | *ERROR* | | Component | OrderService | | Impact | Request #45123 returned HTTP 500 | h2. Event Timeline |_. Time |_. Level |_. Message | | 14:22:01 | %(error)ERROR% | NullPointerException in OrderService.process() | | 14:22:02 | INFO | Request #45123 failed with status 500 | | 14:22:05 | INFO | Alert sent to on-call team | h2. Stack Trace bc. com.app.OrderService.process(OrderService.java:87) com.app.Controller.handleOrder(Controller.java:42)
Example 2: Sprint Status Update
Input LOG file (deployment.log):
[2025-03-01 10:00:00] DEPLOY v2.5.0 environment=staging status=SUCCESS [2025-03-01 10:30:00] TEST suite=integration passed=95 failed=0 skipped=3 [2025-03-01 11:00:00] DEPLOY v2.5.0 environment=production status=SUCCESS [2025-03-01 11:05:00] MONITOR healthcheck=OK response_time=45ms [2025-03-01 11:10:00] NOTIFY team=devops message="v2.5.0 deployed to production"
Output Textile file (sprint_update.textile):
h1. Deployment Report: v2.5.0 h2. Deployment Status |_. Environment |_. Status |_. Time | | Staging | %(success)*SUCCESS*% | 10:00:00 | | Production | %(success)*SUCCESS*% | 11:00:00 | h2. Test Results * *Passed:* 95 * *Failed:* 0 * *Skipped:* 3 h2. Post-Deployment Health p. Response time: *45ms* - Health check: *OK* p. Team notification sent at 11:10:00.
Example 3: Weekly Monitoring Summary
Input LOG file (weekly_summary.log):
SUMMARY 2025-W09 service=web-api uptime=99.95% errors=23 warnings=156 SUMMARY 2025-W09 service=auth-svc uptime=100.00% errors=0 warnings=12 SUMMARY 2025-W09 service=payment uptime=99.80% errors=45 warnings=89 SUMMARY 2025-W09 service=email-svc uptime=99.99% errors=2 warnings=34
Output Textile file (weekly_summary.textile):
h1. Weekly Service Summary - Week 9, 2025 |_. Service |_. Uptime |_. Errors |_. Warnings | | Web API | 99.95% | *23* | 156 | | Auth Service | *100.00%* | 0 | 12 | | Payment | 99.80% | *45* | 89 | | Email Service | 99.99% | 2 | 34 | h2. Key Observations # Payment service had the highest error count (45). # Auth service achieved perfect uptime. # Total errors across all services: 70. # Total warnings across all services: 291. p(note). Data covers 2025-02-24 through 2025-03-02.
Frequently Asked Questions (FAQ)
Q: What is Textile markup?
A: Textile is a lightweight markup language created by Dean Allen in 2002. It converts human-readable text notation into valid HTML. Textile uses simple characters for formatting: *bold*, _italic_, h1. for headings, and pipe characters for tables. It is the native markup language for Redmine and Textpattern CMS.
Q: Where can I use Textile-formatted content?
A: Textile is natively supported in Redmine (wiki pages, issues, news), Textpattern CMS, and several other wiki and content management systems. You can also convert Textile to HTML using libraries available for Ruby (RedCloth), Python, PHP, and JavaScript. Pandoc can convert Textile to many other formats.
Q: How are log tables formatted in Textile?
A: Log entries are organized into Textile tables using the pipe (|) syntax. Header rows use |_. for header cells, and data rows use | for regular cells. Each log entry becomes a row with columns for timestamp, severity level, and message. Textile tables render as properly formatted HTML tables in the target platform.
Q: Can I color-code severity levels in Textile?
A: Yes. Textile supports CSS class notation using the %(class)text% syntax. The converter can assign classes like %(error)ERROR% or %(warning)WARN% to severity labels, which your wiki's CSS can then style with appropriate colors. Additionally, bold (*text*) and other inline formatting can highlight important entries.
Q: How does Textile compare to Markdown?
A: Textile and Markdown are both lightweight markup languages, but they differ in syntax and capabilities. Textile has richer table support (header rows, column spanning, CSS classes), while Markdown has broader platform support (GitHub, GitLab, Stack Overflow). Textile is preferred in Redmine environments, while Markdown dominates in developer-centric platforms.
Q: Are stack traces preserved in the Textile output?
A: Yes. Stack traces and raw log excerpts are wrapped in bc. (block code) or pre. (preformatted) blocks in Textile, which preserve exact formatting, indentation, and special characters. These render as monospace code blocks in the HTML output, maintaining readability for technical debugging information.
Q: Can I paste Textile content directly into Redmine?
A: Yes. If your Redmine instance uses Textile as its markup language (which is the default), you can paste the converted Textile content directly into wiki pages, issue descriptions, comments, or news articles. The content will render with proper formatting including tables, headings, and code blocks.
Q: Can I convert Textile to other formats later?
A: Yes. Pandoc supports Textile as an input format and can convert it to HTML, Markdown, DOCX, PDF, LaTeX, reStructuredText, and many other formats. This makes Textile a flexible intermediate format. You can also convert Textile to HTML using the RedCloth library (Ruby) or equivalent libraries in other languages.