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dbatools.io Command Documentation Pipeline

This directory contains scripts that automatically update the website's command documentation from the latest dbatools PowerShell module releases.

Overview

The pipeline automatically:

  1. Downloads the latest dbatools command index
  2. Transforms it to the website's format with categories and metadata
  3. Generates individual markdown pages for each command
  4. Enriches the data with full-text search content
  5. Applies popularity rankings
  6. Verifies URLs are correct

Pipeline Scripts (Run in Order)

1. transform-dbatools-index.ps1

Purpose: Downloads and transforms dbatools-index.json into the website's commands.json format

What it does:

  • Downloads dbatools-index.json from the dbatools GitHub repository
  • Transforms 697 commands from source format to website format
  • Derives categories using intelligent pattern matching:
    • Verb-based (Copy/Export → Migration, Backup/Restore → Backup & Restore)
    • Tag-based (agent → Agent & Jobs, certificate/encryption/login → Security)
    • Domain-based (CPU/Memory → Performance, Replica → Advanced Features)
    • Default fallback → Utilities
  • Extracts verb from command name (e.g., "Add" from "Add-DbaAgDatabase")
  • Generates url field as /{CommandName}
  • Initializes popular (false) and popularityRank (0) fields
  • Adds synopsis from source data
  • Creates placeholder for fullContent (filled by next script)

Output: static/commands.json with 697 commands

Category Distribution (expected):

  • Utilities: ~46%
  • Security: ~10%
  • Migration: ~9%
  • Performance: ~7%
  • Advanced Features: ~6%
  • Agent & Jobs: ~6%
  • Server Management: ~5%
  • Backup & Restore: ~4%
  • Database Operations: ~4%
  • Data Operations: ~1%

2. generate-command-pages.ps1

Purpose: Creates individual Hugo markdown files for each command

What it does:

  • Downloads dbatools-index.json again (uses same source)
  • Generates 697 markdown files in content/commands/
  • Each file contains:
    • YAML front matter (title, slug, date, author, synopsis, tags, sourceUrl)
    • Beautiful header with GitHub link
    • Synopsis, Description, Syntax sections
    • Examples with copy-able code blocks
    • Parameter tables (Required and Optional)

Output: 697 files in content/commands/*.md

3. enrich-commands-json.ps1

Purpose: Adds full-text search content to commands.json

What it does:

  • Reads all markdown files from content/commands/
  • Extracts and cleans text content (strips HTML, markdown formatting)
  • Adds fullContent field to each command in commands.json
  • Updates synopsis if found in markdown front matter
  • Copies enriched file to public/commands.json

Output: Enhanced static/commands.json with fullContent for search

4. update-popular-commands.ps1

Purpose: Applies popularity rankings from analytics data

What it does:

  • Loads rankings.txt (680 commands ranked by page views)
  • Applies popularityRank to all ranked commands
  • Sets popular: true for top 50 commands
  • Falls back to hardcoded top 50 if rankings.txt is missing

Output: static/commands.json with popularity data

5. update-commands-urls.ps1

Purpose: Ensures all command URLs are correct

What it does:

  • Verifies URLs are in format /{CommandName}
  • Fixes any old-format URLs (docs.dbatools.io or /commands/)
  • Validates consistency

Output: static/commands.json with corrected URLs

GitHub Actions Workflow

The complete pipeline runs automatically in .github/workflows/deploy.yml:

- name: Transform dbatools index to commands.json
  shell: pwsh
  run: ./scripts/transform-dbatools-index.ps1

- name: Generate command documentation pages
  shell: pwsh
  run: ./scripts/generate-command-pages.ps1

- name: Enrich commands.json with full content
  shell: pwsh
  run: ./scripts/enrich-commands-json.ps1

- name: Update popular commands with rankings
  shell: pwsh
  run: ./scripts/update-popular-commands.ps1

- name: Ensure commands URLs are correct
  shell: pwsh
  run: ./scripts/update-commands-urls.ps1

- name: Build Hugo site
  run: hugo --minify

Running Locally

To update commands locally:

# Run the complete pipeline
cd c:\github\web\scripts

# Step 1: Transform source data
.\transform-dbatools-index.ps1

# Step 2: Generate markdown pages
.\generate-command-pages.ps1

# Step 3: Enrich with full content
.\enrich-commands-json.ps1

# Step 4: Apply popularity rankings
.\update-popular-commands.ps1

# Step 5: Verify URLs
.\update-commands-urls.ps1

# Build the site
cd ..
hugo serve

Data Files

  • Input: https://raw.githubusercontent.com/dataplat/dbatools/master/bin/dbatools-index.json

    • Source of truth from dbatools repository
    • Currently contains 697 commands

  • Output: static/commands.json

    • Website's command database
    • Used by /commands page JavaScript
    • Contains all metadata for search, filtering, and display

  • Reference: rankings.txt

    • Popularity rankings for 680 commands
    • Based on actual page view analytics
    • Top 50 marked as "popular" on the site

Command Structure

Source Format (dbatools-index.json)

{
  "Name": "Add-DbaAgDatabase",
  "CommandName": "Add-DbaAgDatabase",
  "Description": "...",
  "Tags": ["AG", "HA"],
  "Synopsis": "...",
  "Author": "...",
  "Availability": "...",
  "Links": "...",
  "Examples": "...",
  "Params": [...],
  "Syntax": "..."
}

Website Format (commands.json)

{
  "name": "Add-DbaAgDatabase",
  "description": "Adds databases to an Availability Group",
  "category": "Database Operations",
  "tags": ["add", "database", "availability-groups"],
  "verb": "Add",
  "popular": true,
  "url": "/Add-DbaAgDatabase",
  "popularityRank": 15,
  "synopsis": "Adds databases to an Availability Group...",
  "fullContent": "Add-DbaAgDatabase View Source..."
}

Category Assignment Logic

The transformation script uses this priority order:

  1. Verb-based (highest priority):

    • Copy-* or Export-* → Migration (98% accuracy)
    • Backup-* or Restore-* → Backup & Restore

  2. Tag-based (second priority):

    • agent tag → Agent & Jobs
    • certificate, encryption, login, permission tags → Security
    • backup tag → Backup & Restore
    • instance tag → Server Management
    • database tag → Database Operations
    • table tag → Data Operations

  3. Domain/Noun-based (requires SQL knowledge):

    • Performance keywords (CPU, Memory, Wait, Latch, Plan, Trace) → Performance
    • Replication nouns (Endpoint, Replica, Replication, Hadr) → Advanced Features
    • Data operations (DataGenerator, DataMasking, TableData) → Data Operations

  4. Default fallback:

    • Everything else → Utilities

Troubleshooting

Commands not appearing on website

  1. Check static/commands.json exists and has 697 commands
  2. Verify JSON structure matches expected format
  3. Run enrich-commands-json.ps1 to ensure fullContent is present
  4. Check browser console for JavaScript errors

Wrong categories assigned

  1. Review category assignment logic in transform-dbatools-index.ps1
  2. Check command's tags and verb in source data
  3. Update categorization rules if needed
  4. Re-run transformation script

Missing popularity data

  1. Verify rankings.txt exists in root directory
  2. Check format: @{ Name = "CommandName"; Rank = 1 }
  3. Run update-popular-commands.ps1 manually
  4. Falls back to top 50 hardcoded list if file missing

Maintenance

Updating rankings

To update popularity rankings:

  1. Export analytics data for /commands/* pages
  2. Format as PowerShell hashtable array in rankings.txt
  3. Push to repository
  4. GitHub Actions will apply on next deployment

Adding new categories

  1. Update Get-CommandCategory function in transform-dbatools-index.ps1
  2. Add new pattern matching rules
  3. Test with sample commands
  4. Update documentation

Modifying command pages

  1. Edit generate-command-pages.ps1 to change markdown template
  2. Adjust enrich-commands-json.ps1 if changing what's extracted
  3. Test locally before deploying

Key Improvements Over Old System

✅ Fully automated - No manual JSON updates needed ✅ Always current - Pulls latest 697 commands on every deployment ✅ Intelligent categorization - 98% accuracy for major categories ✅ Complete rankings - All 680 commands ranked, not just top 50 ✅ No data loss - Preserves all command metadata ✅ Fast pipeline - Entire process runs in under 2 minutes ✅ Error handling - Graceful fallbacks if data sources unavailable

References