Convert ADOC to LOG
Max file size 100mb.
ADOC vs LOG Format Comparison
| Aspect | ADOC (Source Format) | LOG (Target Format) |
|---|---|---|
| Format Overview |
ADOC
AsciiDoc Markup Language
Lightweight markup language designed for writing documentation, articles, books, and technical content. Created by Stuart Rackham in 2002. Supports rich formatting, includes, cross-references, and can be converted to multiple output formats like HTML, PDF, and DocBook. Documentation Markup Language |
LOG
Plain Text Log File
Plain text format used to record sequential events, activities, or data entries. Log files are fundamental to system administration, debugging, and monitoring. They typically contain timestamped entries with severity levels, source identifiers, and messages. Universal format readable by any text editor. Plain Text Sequential Records |
| Technical Specifications |
Structure: Plain text with markup syntax
Encoding: UTF-8 (recommended) Format: Human-readable markup Compression: None (plain text) Extensions: .adoc, .asciidoc, .asc |
Structure: Line-based text entries
Encoding: UTF-8 or ASCII Format: Plain text, various conventions Compression: Often gzipped for archives Extensions: .log, .txt, .out |
| Syntax Examples |
AsciiDoc uses semantic markup: = Document Title :author: John Doe :version: 1.0 == Section Heading This is a *bold* paragraph. * List item 1 * List item 2 |
LOG uses timestamped entries: 2024-01-15 10:30:00 [INFO] Document: Document Title 2024-01-15 10:30:00 [INFO] Author: John Doe 2024-01-15 10:30:00 [INFO] Version: 1.0 2024-01-15 10:30:01 [INFO] Section: Section Heading 2024-01-15 10:30:01 [INFO] Content: This is a bold paragraph. |
| Content Support |
|
|
| Advantages |
|
|
| Disadvantages |
|
|
| Common Uses |
|
|
| Best For |
|
|
| Version History |
Introduced: 2002 (Stuart Rackham)
Current Version: AsciiDoc (Asciidoctor 2.x) Status: Active development Evolution: Asciidoctor is modern implementation |
Introduced: Early computing era (1960s+)
Current Version: No formal versioning Status: Universal, stable format Evolution: Structured formats: JSON logs, syslog |
| Software Support |
Asciidoctor: Primary processor (Ruby, JS, Java)
IDEs: VS Code, IntelliJ, Atom plugins Editors: AsciiDocFX, AsciidocLIVE Other: GitHub, GitLab rendering support |
Viewers: Any text editor, less, tail
Analysis: Splunk, ELK Stack, Graylog CLI Tools: grep, awk, sed, cut Other: Logrotate, syslog, journald |
Why Convert ADOC to LOG?
Converting AsciiDoc documents to LOG format transforms structured documentation into a sequential, timestamped record suitable for logging systems, audit trails, and activity tracking. This conversion is useful when you need to record document content, changes, or processing events in a standard log format that integrates with monitoring and analysis tools.
Log files are fundamental to computing, used for tracking events, debugging applications, monitoring systems, and maintaining audit trails. By converting documentation to log format, you create a chronological record of information that can be processed by log aggregators like Splunk, the ELK Stack (Elasticsearch, Logstash, Kibana), or simple command-line tools like grep and awk.
The conversion extracts content from AsciiDoc's structured format and presents it as timestamped entries with appropriate severity levels. Section headings become log markers, paragraphs become content entries, and document metadata becomes header information. This makes documentation content searchable and processable using standard log analysis techniques.
This conversion is particularly valuable for documentation systems that need to track when content was processed, creating audit logs from document workflows, generating activity records from technical specifications, or integrating document content into centralized logging infrastructure.
Key Benefits of Converting ADOC to LOG:
- Universal Compatibility: Readable by any text editor or tool
- Log Aggregation: Compatible with Splunk, ELK, Graylog
- CLI Processing: Works with grep, awk, sed, and other tools
- Audit Trails: Creates timestamped records of content
- Monitoring Integration: Fits into existing log pipelines
- Sequential Records: Content presented chronologically
- Simple Format: No special software required to read
Practical Examples
Example 1: Documentation Processing Log
Input AsciiDoc file (release-notes.adoc):
= Release Notes v2.0 :author: Development Team :date: 2024-01-15 == New Features * Added user authentication * Implemented dark mode * Added export to PDF == Bug Fixes * Fixed login timeout issue * Resolved memory leak in cache
Output LOG file (release-notes.log):
2024-01-15 00:00:00 [INFO] DOCUMENT_START: Release Notes v2.0 2024-01-15 00:00:00 [INFO] METADATA: author=Development Team 2024-01-15 00:00:00 [INFO] METADATA: date=2024-01-15 2024-01-15 00:00:01 [INFO] SECTION: New Features 2024-01-15 00:00:01 [INFO] ITEM: Added user authentication 2024-01-15 00:00:01 [INFO] ITEM: Implemented dark mode 2024-01-15 00:00:01 [INFO] ITEM: Added export to PDF 2024-01-15 00:00:02 [INFO] SECTION: Bug Fixes 2024-01-15 00:00:02 [INFO] ITEM: Fixed login timeout issue 2024-01-15 00:00:02 [INFO] ITEM: Resolved memory leak in cache 2024-01-15 00:00:02 [INFO] DOCUMENT_END: Release Notes v2.0
Example 2: Configuration Audit Log
Input AsciiDoc file (server-config.adoc):
= Server Configuration :environment: production :reviewer: [email protected] == Database Settings host:: db.example.com port:: 5432 ssl:: enabled == Security Settings firewall:: enabled encryption:: AES-256
Output LOG file (server-config.log):
2024-01-15 14:30:00 [INFO] CONFIG_AUDIT: Server Configuration 2024-01-15 14:30:00 [INFO] ENVIRONMENT: production 2024-01-15 14:30:00 [INFO] REVIEWER: [email protected] 2024-01-15 14:30:00 [INFO] SECTION: Database Settings 2024-01-15 14:30:00 [INFO] SETTING: host=db.example.com 2024-01-15 14:30:00 [INFO] SETTING: port=5432 2024-01-15 14:30:00 [INFO] SETTING: ssl=enabled 2024-01-15 14:30:01 [INFO] SECTION: Security Settings 2024-01-15 14:30:01 [INFO] SETTING: firewall=enabled 2024-01-15 14:30:01 [INFO] SETTING: encryption=AES-256 2024-01-15 14:30:01 [INFO] CONFIG_AUDIT_COMPLETE
Example 3: Meeting Minutes Log
Input AsciiDoc file (meeting.adoc):
= Sprint Planning Meeting :date: 2024-01-15 :attendees: Alice, Bob, Charlie == Discussion Points * Review sprint goals * Assign user stories * Set deadlines == Action Items Alice:: Complete API design by Friday Bob:: Set up CI/CD pipeline Charlie:: Write unit tests
Output LOG file (meeting.log):
2024-01-15 09:00:00 [INFO] MEETING_START: Sprint Planning Meeting 2024-01-15 09:00:00 [INFO] DATE: 2024-01-15 2024-01-15 09:00:00 [INFO] ATTENDEES: Alice, Bob, Charlie 2024-01-15 09:00:01 [INFO] TOPIC: Discussion Points 2024-01-15 09:00:01 [INFO] POINT: Review sprint goals 2024-01-15 09:00:01 [INFO] POINT: Assign user stories 2024-01-15 09:00:01 [INFO] POINT: Set deadlines 2024-01-15 09:00:02 [INFO] TOPIC: Action Items 2024-01-15 09:00:02 [INFO] ACTION: Alice - Complete API design by Friday 2024-01-15 09:00:02 [INFO] ACTION: Bob - Set up CI/CD pipeline 2024-01-15 09:00:02 [INFO] ACTION: Charlie - Write unit tests 2024-01-15 09:00:02 [INFO] MEETING_END
Frequently Asked Questions (FAQ)
Q: What is a LOG file format?
A: A LOG file is a plain text file containing sequential records of events, activities, or data entries. While there's no single standard, log files typically include timestamps, severity levels (INFO, WARN, ERROR, DEBUG), source identifiers, and message content. They're used universally for system administration, debugging, monitoring, and audit trails.
Q: Why would I convert documentation to log format?
A: Converting to log format is useful for creating audit trails of document processing, integrating documentation content into centralized logging systems (Splunk, ELK), generating activity records from specifications, tracking document changes over time, and making documentation content searchable with standard log analysis tools like grep.
Q: What log format conventions are used?
A: The conversion uses common log conventions: ISO 8601 timestamps (YYYY-MM-DD HH:MM:SS), severity levels in brackets [INFO], component/source identifiers, and structured messages. This format is compatible with most log parsers and analysis tools. The specific format can be customized based on your logging infrastructure requirements.
Q: Can I use the output with log analysis tools?
A: Yes! The generated log files work with popular tools including Splunk (for enterprise log analysis), ELK Stack (Elasticsearch, Logstash, Kibana), Graylog, and command-line tools like grep, awk, and sed. The standardized format with timestamps and severity levels makes parsing straightforward.
Q: How is AsciiDoc structure preserved in logs?
A: Document structure is converted to log semantics: the document title becomes a start marker, sections become topic/section entries, list items become individual log lines, definition lists become key-value entries, and document attributes become metadata entries. The hierarchical structure is flattened into sequential log entries.
Q: What happens to rich formatting?
A: Log files are plain text, so rich formatting (bold, italic, links, images) is stripped or converted to plain text. The focus is on content and structure, not visual presentation. Code blocks are preserved as text content, and admonitions (NOTE, TIP, WARNING) may be converted to corresponding log severity levels.
Q: How do I search and analyze the log output?
A: Use standard tools: `grep "SECTION:" file.log` finds all sections, `grep "\[ERROR\]" file.log` finds errors, `awk -F' ' '{print $1, $2}' file.log` extracts timestamps. For more advanced analysis, import into Splunk, use Logstash to parse into Elasticsearch, or write custom scripts with regex parsing.
Q: Can I customize the log format?
A: The converter produces a standard format, but you can post-process the output to match your specific requirements. Common customizations include changing timestamp format, adding custom prefixes, adjusting severity level labels, or restructuring for specific log aggregators. The plain text format makes such modifications straightforward with tools like sed or awk.