markdown

Markdown parser in Kotlin

License	The Apache Software License, Version 2.0
Categories	Data
GroupId	org.jetbrains
ArtifactId	markdown-metadata
Last Version	0.2.3
Release Date	May 5, 2021
Type	module
Description	markdown Markdown parser in Kotlin
Project URL	https://github.com/JetBrains/markdown
Source Code Management	https://github.com/JetBrains/markdown

Download markdown-metadata

Filename	Size
markdown-metadata-0.2.3.pom
markdown-metadata-0.2.3.module	1 KB
markdown-metadata-0.2.3-sources.jar	163 KB
markdown-metadata-0.2.3-javadoc.jar	1 MB

Dependencies

compile (1)

Group / Artifact	Type	Version
org.jetbrains.kotlin : kotlin-stdlib-common	jar	1.4.10

Project Modules

There are no modules declared in this project.

intellij-markdown

Multiplatform Markdown processor written in Kotlin

Introduction

intellij-markdown is an extensible markdown processor. It aims to suit the following needs:

• Use one code base for both client and server-side processing;
• Produce consistent output on different platforms;
• Support different flavours;
• Be easily extensible.

The processor is written in pure Kotlin (with a little flex) so it can be compiled to both JS and Java bytecode and thus can be used everywhere.

Usage

Adding intellij-markdown as a dependency

The library is hosted in mavenCentral, so you need it configured like this:

repositories {
    mavenCentral()
}

This is a Kotlin Multiplatform project and hence is better served under gradle. If you have fresh enough gradle (>= 5.4), you can just add the main artifact as a dependency:

dependencies {
    // other deps...

    implementation "org.jetbrains:markdown:0.2.0.pre-55"
}

Gradle should resolve your target platform and decide which artifact (jvm or js) to download.

If you are writing multiplatform project as well, you can add one dependency for commonMain:

commonMain {
     dependencies {
         implementation "org.jetbrains:markdown:0.2.0.pre-55"
     }
 }

If you are using Maven or older gradle, you should specify the respective artifact for your platform, e.g.

• org.jetbrains:markdown-jvm:0.2.0.pre-55 for jvm version
• org.jetbrains:markdown-js:0.2.0.pre-55 for js version

Using intellij-markdown for parsing and generating html

One of the goals of this project is to provide flexibility in terms of the tasks being solved. Markdown plugin for JetBrains IDEs is an example of usage when markdown processing is done in several stages:

• Parse block structure without parsing inlines to provide lazy parsable blocks for IDE;
• Quickly parse inlines of a given block to provide faster syntax highlighting update;
• Generate HTML for preview.

These tasks may be completed independently according to the current needs.

Simple html generation (Kotlin)

val src = "Some *Markdown*"
val flavour = CommonMarkFlavourDescriptor()
val parsedTree = MarkdownParser(flavour).buildMarkdownTreeFromString(src)
val html = HtmlGenerator(src, parsedTree, flavour).generateHtml()

Simple html generation (Java)

final String src = "Some *Markdown*";
final MarkdownFlavourDescriptor flavour = new GFMFlavourDescriptor();
final ASTNode parsedTree = new MarkdownParser(flavour).buildMarkdownTreeFromString(text);
final String html = new HtmlGenerator(src, parsedTree, flavour, false).generateHtml()

Development gotchas

1. The currently used CI is TeamCity.

   Incoming pull requests will be tested there, you can check the build status (manually) via the link above.

2. The only non-Kotlin files are .flex lexer definitions. They are used for generating lexers which are the first stage of inlines parsing. Unfortunately, due to bugs, native java->kt conversion crashes for these files.

   So, conversion from .flex to respective Kotlin files deserves a special instruction (use IntelliJ please):

   1. Install grammar-kit plugin, as will be suggested on .flex files opening.
   2. Install jflexToKotlin plugin (manually, via settings).
   3. Run Run JFlex Generator action while having .flex file opened.
      • On the first run a dialog will open, suggesting to place to download jflex. Select project root, then delete excessively downloaded .skeleton file.
   4. A respective _<SomeName>Lexer.java will be generated somewhere. Move it near existing _<SomeName>Lexer.kt.
   5. Delete .kt lexer.
   6. Run Convert JFlex Lexer to Kotlin action while having the new .java file opened.
   7. Fix the small problems such as imports in kt file. There should be no major issues; if there are, feel free to complain :)

Parsing algorithm

The parsing process is held in two logical parts:

1. Splitting the document into the blocks of logical structure (lists, blockquotes, paragraphs, etc.);
2. Parsing the inline structure of the resulted blocks.

This is the same way as the one being proposed in Commonmark spec.

Building the logical structure

Each (future) node (list, list item, blockquote, etc.) is associated with the so-called marker block. The rollback-free parsing algorithm is processing every token in the file, one by one. Tokens are passed to the opened marker blocks, and each block chooses whether to:

• do nothing
• drop itself
• complete itself

The marker processor stores the blocks, executes the actions chosen by the blocks, and, possibly, adds some new ones.

Parsing inlines

For the sake of speed and parsing convenience the text is passed to the lexer at first. Then the resulting set of tokens is processed in the special way.

Since the inline constructs in markdown have some priorities (i.e. if two different ones overlap, the parsing result depends on the their types, not their positions, e.g. *code, `not* emph` and `code, *not` emph* are both code spans + literal asterisks), normal recursive parsing is inapplicable.

Still the parsing of the inlines is quite straightforward. For each inline construct there is a particular sequential parser which accepts some input text and returns:

1. The parsed ranges found in this text;
2. The sub-text(s), which are to be passed to the subsequent inline parsers.

Building AST

After building logical structure and parsing inlines a set of ranges corresponding to some markdown entities (i.e. nodes) is given. In order to work with the results effectively it ought to be converted to the AST.

As a result, a root AST node corresponding to the parsed markdown document is returned. Each AST node has own type which is called IElementType as in IntelliJ Platform.

Generating HTML

For a given AST root a special visitor to generate the resulting HTML is created. Using a given mapping from IElementType to the HTML generating provider it processes the parsed tree in Depth-First order, generating HTML pieces for on each node visit.

Extending the parser

Many routines in the above process can be extended or redefined by creating a different markdown flavours. The minimal default is CommonMark which is implemented in this project. Github Flavoured Markdown (which is also implemented) is an example of extending CommonMark flavour. It can be used as a reference for implementing your own markdown features.

Below is a tree representing a big part of the API.

API

• MarkdownFlavourDescriptor is a base class for extending markdown parser.

  • markerProcessorFactory is responsible for block structure customization.

    • stateInfo value allows to use a state during document parsing procedure.

      updateStateInfo(pos: LookaheadText.Position) is called at the beginning of each position processing

    • populateConstraintsTokens is called to create nodes for block structure markers at the beginning of the lines (for example, > characters constituting blockquotes)

    • getMarkerBlockProviders is a place to (re)define types of block structures

  • sequentialParserManager

    getParserSequence defines inlines parsing procedure. The method must return a list of SequentialParsers where the earliest parsers have the biggest operation precedence. For example, to parse code spans and emph with correct priority, the list should be [CodeSpanParser, EmphParser] but not the opposite.

    SequentialParser has only one method:

    parse(tokens: TokensCache, rangesToGlue: List<IntRange>): ParsingResult

    • tokens is a special holder for the tokens returned by lexer

    • rangesToGlue is a list of ranges in the document which are to be searched for the structures in question.

      Considering the input: A * emph `code * span` b * c for the emph parser ranges [A * emph , b * c] mean that emph must be searched in the input A * emph | b * c.

      The method must essentially return the parsing result (nodes for the found structures) and the parts of the text to be given to the next parsers.

      Considering the same input for the code span parser the result would be `code * span` of the type "code span" and the delegate pieces would be [A * emph , b * c].

  • createInlinesLexer should return the lexer to split the text to the tokens before inline parsing procedure run.

  • createHtmlGeneratingProviders(linkMap: LinkMap, baseURI: URI?) is the place where generated HTML is customized. This method should return a map which defines how to handle the particular kinds of the nodes in the resulting tree.

    linkMap here is a precalculated information about the links defined in the document with the means of link definition. baseURI is the URI to be considered the base path for the relative links resolving. For example, given baseUri='/user/repo-name/blob/master' the link foo/bar.png should be transformed to the /user/repo-name/blob/master/foo/bar.png.

    Each returned provider must implement processNode(visitor: HtmlGenerator.HtmlGeneratingVisitor, text: String, node: ASTNode) where

    • text is the whole document being processed,
    • node is the node being given to the provider,
    • visitor is a special object responsible for the HTML generation. See GeneratingProviders.kt for the samples.

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Versions

Version
0.2.3 May 5, 2021
0.2.2 Apr 14, 2021
0.2.1 Mar 23, 2021
0.2.0 Feb 12, 2021