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Didot.Core 0.33.17

Didot

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Transform your structured YAML, JSON, XML, CSV or FrontMatter data into beautiful, fully-customized HTML pages or plain text in seconds with Didot. This command-line tool seamlessly generates renders from data files using your preferred templates through Scriban, Handlebars, DotLiquid, Fluid, StringTemplate or SmartFormat. Whether you're building static sites, documentation, or reporting tools, Didot makes it easy to turn raw data into polished, web-ready content.

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Installing

Install as a .NET global tool

A .NET global tool is a console application that you can install and run from any directory on your machine. Here’s a guide on how to perform a global installation of a .NET tool:

Prerequisites

Before installing a .NET global tool, you must have the .NET SDK installed on your machine. You can check if it's installed by running the following command in your terminal or Command Prompt:

dotnet --version

If .NET is not installed, download it from Microsoft's official website.

Install a .NET Global Tool

To install a .NET global tool, you use the dotnet tool install command. This command installs a tool for all users globally on your system.

dotnet tool install -g Didot-cli

-g: This flag tells the dotnet command to install the tool globally.

Verify Installation

After installing the tool, you can verify that it's available globally by running it from any directory.

didot --version

This command will display the installed tool’s version if the installation was successful.

Update a .NET Global Tool

To update a globally installed .NET tool, use the dotnet tool update command:

dotnet tool update -g Didot-cli

Install from Docker

Prerequisites

Docker Installed: Ensure that Docker is installed and running on your system. You can download Docker from Docker's official site.

Pulling the Docker Image

A pre-built Docker image is available on Docker Hub, you can pull it using the following command:

docker pull seddryck/didot:latest

Running Didot from Docker

Once you have the Docker image, you can run Didot using Docker in PowerShell.

Basic Command

_CMD:

docker run --rm -v %cd%:/files didot -t <template-file> -s <source-file> -o <output-file>

_PowerShell:

docker run --rm -v ${pwd}:/files didot -t <template-file> -s <source-file> -o <output-file>

• --rm: Automatically removes the container after it finishes executing.
• -v ${pwd}:/files: Mounts the current directory (${pwd} in PowerShell or Bash, %cd% in CMD) to /files inside the Docker container, so Didot can access your local files.
• -t <template-file>: Specifies the path to the template file inside the /files directory.
• -s <source-file>: Specifies the path to the source file (YAML, JSON, or XML).
• -o <output-file>: Specifies the path to the output file that Didot will generate. If omitted, it will display the result on the host console.

Example Workflow:

1. Prepare the Template and Source Files:

• Make sure your template and source files are correctly formatted and saved in the correct directory. For example:
  • ./templates/template-01.hbs
  • ./data/data.json

2. Run Didot: Use the following command to generate templated output:

docker run --rm -v ${pwd}:/files didot -t /files/templates/template-01.hbs -s /files/data/data.json -o /files/output/output.txt

3. Access the Output: The output file will be generated in ./output/output.txt on your local machine after the Docker container finishes execution.

Updating Didot

To update to the latest version of Didot, either pull the new Docker image

docker pull seddryck/didot:latest

Install from GitHub Releases

Step 1: Download the ZIP from the GitHub Release

1. Navigate to the GitHub repository of the project.
2. Go to the Releases section, usually found under the "Code" tab.
3. Download the .zip file containing the executable from the desired release.

Example:

https://github.com/Seddryck/Didot/releases/latest/

Step 2: Extract the ZIP File

1. Right-click the downloaded .zip file and choose Extract All.
2. Extract the contents to a directory of your choice, such as C:\Program Files\Didot.

Tip: Choose a path that is easy to remember and doesn't contain special characters.

Step 3: Add the Executable to the System PATH

To run the executable from any location in the command line, you need to add its folder to your system's PATH.

1. Open the Start Menu and search for Environment Variables.
2. Click Edit the system environment variables.
3. In the System Properties window, click Environment Variables.
4. In the System Variables section, scroll down, select Path, and click Edit.
5. In the Edit Environment Variable dialog, click New and enter the path to your extracted folder, e.g., C:\Program Files\Didot.
6. Click OK to close all windows.

Step 4: Verify Installation

1. Open Command Prompt (CMD).
2. Type the name of the executable (e.g., didot.exe) and hit Enter.
3. If everything is set up correctly, the program should run.

QuickStart

Didot is a command-line tool designed for generating files based on templating. It supports YAML, JSON, and XML as source data formats and provides flexibility in templating through both Scriban, Liquid, Handlebars, StringTemplate and SmartFormat templates languages. With Didot, you can easily automate file generation by combining structured data from YAML, JSON, or XML files with customizable templates using Scriban or Liquid.

Supported Data Formats:

• YAML: Files with the .yaml or .yml extension are parsed using a YAML source parser.
• JSON: Files with the .json extension are parsed using a JSON source parser.
• XML: Files with the .xml extension are parsed using an XML source parser.
• CSV: Files with the .csv extension are parsed using an CSV source parser. The CSV dialect can be described using the -P option (see below).
• FrontMatterMarkdown: Files with the .md extension are parsed using an YAML parser for the FrontMatter and the Markdown content is added in the entry content.
• FrontMatter: using an YAML parser for the FrontMatter, the Markdown content is not appended to the result.

Supported Templating Engines:

Didot utilizes some templating engines, which allow for powerful and flexible templating.

• Scriban: Templates with the .scriban extension are parsed using a Scriban template engine. Scriban is a lightweight and fast template engine with rich support for multiple output formats.
  • Highly performant, designed to handle large-scale template processing.
  • Supports customizable scripting with rich expressions and filters.
  • Can work with JSON and YAML data sources.
  • Typical Use Case: Config file generation, reports, email templates, or any templating scenario not tied to a specific web framework.
• Liquid: Templates with the .liquid extension are parsed using a dotLiquid template engine. DotLiquid is a .NET port of the Liquid templating engine used by platforms like Shopify.
  • Secure (no access to system objects), making it ideal for user-generated templates.
  • Allows both dynamic and static templating.
  • Supports filters, tags, and various control flow structures.
  • Typical Use Case: SaaS applications, dynamic content rendering, email templates.
• Handlebars: Templates with the .hbs extension are parsed using a Handlebars template engine. Handlebars C# port of the popular JavaScript Handlebars templating engine.
  • Simple syntax for generating HTML or text files from templates.
  • Support for helpers, partial templates, and block helpers.
  • Good separation of logic from presentation.
  • Typical Use Case: Email templates, reports, and content generation.
• SmartFormat: Templates with the .smart extension are parsed using a SmartFormat template engine. SmartFormat.Net is a A lightweight templating engine primarily used for string formatting.
  • Provides more advanced formatting capabilities than standard string formatting in C#.
  • Supports nested templates, conditional formatting, and more.
  • Typical Use Case: Log messages, report generation, and dynamic text formatting.
• StringTemplate: Templates with the .st and .stg extension are parsed using the StringTemplate engine. StringTemplate is a powerful template engine specifically designed to enforce strict separation of logic from presentation.
  • Focused on generating structured text, such as code, XML, and reports.
  • Strong emphasis on enforcing Model-View separation.
  • Supports conditionals, loops, and automatic escaping to prevent security issues.
  • Typical Use Case: Code generation, configuration files, and situations where strict separation between logic and template is required.

Command Usage:

The command to run Didot is simply didot. When executing it, you need to provide three required arguments:

• -t, --template (required): Specifies the path to the Scriban, Liquid, Handlebars, StringTemplate or SmartFormat template file.
• -s, --source: Specifies the path to the source data file, which can be in YAML, JSON, or XML format. If this argument is not provided, the data will be read from the console input. In such cases, the -r, --parser option becomes mandatory.
• -o, --output: Specifies the path to the output file where the generated content will be saved. If not provided, the output will be displayed directly in the console.

Example:

didot -t template.scriban -s data.yaml -o page.html

In this example:

• template.scriban is the Scriban template file.
• data.yaml is the source file containing the structured data in YAML format.
• page.html is the output file that will contain the generated content.

List of options

Template option

• Shortcut: -t
• Long: --template
• Description: Specifies the path to the template file.
• Accept: single value.
• Mandatory: yes.
• Example: -t path/to/template or --template=path/to/template

Engine option

• Shortcut: -e
• Long: --engine
• Description: Specifies the template engine to use (scriban, fluid, dotliquid, handlebars, smartformat, stringtemplate).
• Accept: single value. When omitted Didot will select the engine based on the extension of the template file.
• Example: -e fluid or --engine=fluid

Engine files' extension association option

• Shortcut: -x
• Long: --engine-extension
• Description: Specifies additional or replacing association between a file extension and an engine for automatic detection
• Accept: multiple key-value pairs.
• Mandatory: no.
• Example: -x txt:handlebars;liquid:fluid or --engine-extension=.txt:handlebars;liquid:fluid

Source option

• Shortcut: -s
• Long: --source
• Accept: single value or multiple key-value pairs.
• Description:
  • if single value is provided, it specifies the path to the source file. If omitted, input can be taken from StdIn.
  • if multiple key-value pairs are provided, each of them specifies a part of the model and the key representing the tag in the model.
• Exclusive: can't be set with the parameter --StdIn
• Example: -s path/to/source or --source=path/to/source or --source=foo:path/to/source1;bar:path/to/source1

Parser option

• Shortcut: -r
• Long: --parser
• Description: Specifies the parser to use (YAML, JSON, XML).
• Accept: single value.
• Mandatory: no expect if --stdin is specified. When omitted Didot will select the parser based on the extension of the source file
• Example: -r YAML or --parser=YAML

Parser files' extension association option

• Shortcut: -X
• Long: --parser-extension
• Description: Specifies additional or replacing association between a file extension and a parser for automatic detection
• Accept: multiple key-value pairs.
• Mandatory: no.
• Example: -X txt:yaml;dat:json or --parser-extension=txt:yaml;dat:json

Parser's parameter option

• Shortcut: -P
• Long: --parser-parameter
• Description: Specifies parameters tuning the behavior of the parser
• Accept: multiple key-value pairs, prefixed by the file's extension followed by an arobas (@).
• Mandatory: no.
• Example: -P csv@delimiter=^;csv@commentChar=#

StdIn option

• Shortcut: -i
• Long: --stdin
• Description: Specifies the input to the source data as coming from the StdIn.
• Accept: switch value.
• Exclusive: can't be set to true with the parameter --source and must specified to false when --source is not provided.
• Example: -i or --stdin or --stdin false

Output option

• Shortcut: -o
• Long: --output
• Description: Specifies the path to the generated output file. If omitted, output is rendered to StdOut.
• Accept: single value.
• Mandatory: no.
• Example: -o path/to/output or --output=path/to/output

Example:

With a source file:

didot -t template.scriban -s data.yaml -o page.html

In this example:

• template.scriban is the Scriban template file.
• data.yaml is the source file containing the structured data in YAML format.
• page.html is the output file that will contain the generated content.

With data from the console:

_CMD:

type "data.json" | didot --stdin -t template.hbs -r json

_PowerShell:

Get-Content data.json | didot --stdin -t template.hbs -r json

_Bash:

cat data.json | didot --stdin -t template.hbs -r json

In this example:

• The input data is coming from the console
• template.hbs is the Handlebars template file.
• json is the parser of input data.
• the output is redirected to the console.

Make sure that the template file and source file are correctly formatted and aligned with your data model to produce the desired result.