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#34 in Parser tooling


Used in kiki

MIT license

285KB
10K SLoC

Kiki

crates.io

Kiki is a minimalist parser generator for Rust.

Table of contents

How to use Kiki?

Read the quickstart.

Why use Kiki?

  • Easy to learn. If you've used other parser generators before (e.g., Bison/yacc), you can learn Kiki in under 10 minutes.
  • Easy to write. Tools like Bison or lalrpop force you to write a grammar, semantic actions, and syntax tree type definitions. Kiki lets you write only the type definitions. Kiki infers the grammar and semantic actions from the type definitions.
  • Easy to read. Kiki has a minimalist syntax. This makes it easy to learn, and easy to read.

Kiki's limitations

  • Kiki only supports LALR(1) grammars.
  • Kiki parses token sequences, not strings.
    • In other words, you must provide your own lexer. You can either implement the lexer by hand, or use a lexer generator (e.g., logos).

Example

In this section, we build a toy parser that recognizes the arithmetic expressions. For example:

  • 42
  • 42 + 53
  • 29 + (893 * 7)

For simplicity, this language does not have operator precedence. Instead, you must use parentheses (e.g., 29 + (893 * 7)).

Let's compare how we build the parser using Bison and Kiki.

With Bison

Suppose Bison hypothetically supported Rust (instead of only C/C++). Then you might write:

%{
    enum Expr {
        Num(i32),
        Op {
            left: Box<Expr>,
            kind: OpKind,
            right: Box<Expr>,
        },
    }

    enum OpKind {
        Add,
        Sub,
        Cons,
        Div,
    }
}

%token <i32> NUM

// Other than NUM, the rest of the tokens
// only have one possible value each.
// So, we set their type to the unit type (`()`).
%token <()> PLUS
%token <()> MINUS
%token <()> STAR
%token <()> SLASH
%token <()> LPAREN
%token <()> RPAREN

%start expr

%%

expr
    : term
        {
            $$ = $1;
        }
    | term PLUS term
        {
            $$ = Expr::Op {
                left: Box::new($1),
                kind: OpKind::Add,
                right: Box::new($3),
            };
        }
    | term MINUS term
        {
            $$ = Expr::Op {
                left: Box::new($1),
                kind: OpKind::Sub,
                right: Box::new($3),
            };
        }
    | term STAR term
        {
            $$ = Expr::Op {
                left: Box::new($1),
                kind: OpKind::Cons,
                right: Box::new($3),
            };
        }
    | term SLASH term
        {
            $$ = Expr::Op {
                left: Box::new($1),
                kind: OpKind::Div,
                right: Box::new($3),
            };
        }
;

term
    : NUM
        {
            $$ = Expr::Num($1);
        }
    | LPAREN expr RPAREN
        {
            $$ = $2;
        }
;

Observe that there are three things you must write:

  1. The grammar (i.e., expr : term ...; and term : NUM ...;).
  2. The semantic actions (e.g., $$ = Expr::Op {...};).
  3. The syntax tree type definitions (i.e., enum Expr {...} and enum OpKind {...}).

With Kiki

In Kiki, you write:

terminal Token {
    $Num: i32
    $Plus: ()
    $Minus: ()
    $Star: ()
    $Slash: ()
    $LParen: ()
    $RParen: ()
}

start Expr

enum Expr {
    Term(Term)
    Op {
        left: Expr
        kind: OpKind
        right: Expr
    }
}

enum OpKind {
    Add(_: $Plus)
    Sub(_: $Minus)
    Cons(_: $Star)
    Div(_: $Div)
}

enum Term {
    Num($Num)
    Parenthesized(
        _: $LParen
        Expr
        _: $RParen
    )
}

Observe this code is much simpler and shorter. Instead of having to write the grammar, semantic actions, and syntax tree type definition, you only need to write the syntax tree type definition. Kiki infers the grammar and semantic action from the type definition.

Guide

You can read the user guide here. The guide explains Kiki in detail. It is not a fast read.

If your goal is to grok Kiki as quickly as possible, click here.

Contributing

Contributions are welcome. Simply open a new issue or pull request, and I'll take a look. All forms of contribution (e.g., bugfixes, tests, documentation, typo correction) are helpful.

Dependencies

~0.8–1.5MB
~32K SLoC