JSON File Content Generation Guide

Preview JSON files via frago view with automatic formatting and syntax highlighting.

Preview Commands

frago view data.json                      # Default theme
frago view config.json --theme monokai    # Specify theme

Rendering Features

Automatic Formatting

• JSON content automatically beautified (Pretty Print)
• Indentation aligned
• Key-value pairs clearly displayed

Syntax Highlighting

JSON Format Specification

Correct Format

{
    "name": "Project Name",
    "version": "1.0.0",
    "enabled": true,
    "count": 42,
    "tags": ["tag1", "tag2"],
    "config": {
        "nested": "value"
    },
    "nullable": null
}

Common Errors

Best Practices

1. Indentation

• Use 2 or 4 spaces for indentation
• Maintain consistency

2. Key Naming

• Use snake_case or camelCase
• Maintain consistency throughout the file

{
    "user_name": "snake_case style",
    "userName": "camelCase style"
}

3. Data Organization

• Group related fields
• Place important fields first

{
    "id": "001",
    "name": "Important fields first",
    "metadata": {
        "created_at": "2024-01-01",
        "updated_at": "2024-01-02"
    }
}

4. File Size

• Single file < 1MB optimal
• Consider pagination or splitting files for large data

Use Cases

• API response data preview
• Configuration file viewing
• Data structure review
• Debug data inspection

Display Themes

Same as code files, supports the following themes:

Notes

JSON Validation

Ensure JSON is valid before preview:

# Python validation
python -m json.tool data.json

# jq validation
jq . data.json

Related Tools

• jq: Command-line JSON processor
• jsonlint: JSON validator
• VSCode: JSON editing and formatting