5.5 KiB
Tutorial
Preface
Human2Regex (H2R) comes with a simple API allowing you to embed the H2R language inside your application. The steps to generate a regular expression go as follows
- Lex the input text (detects lexing errors)
- Parse the input text (detects parsing errors)
- Generate/interpret the input text (detects semantic errors)
Lexing your text
H2R's lexer comes with a few options for stricter parsing and some performance optimizations
export declare class Human2RegexLexerOptions {
// If true, the lexer will skip validations (~25% faster)
skip_validations?: boolean = false;
// The type of indents the lexer will allow
type?: IndentType = IndentType.Both;
// Number of spaces per tab
spaces_per_tab?: number = 4;
}
export declare enum IndentType {
Tabs = 0,
Spaces = 1,
Both = 2
}
Once your options are determined, you can instanciate a lexer like so:
import { Human2RegexLexer, Human2RegexLexerOptions } from "human2regex";
const lexer = new Human2RegexLexer(new Human2RegexLexerOptions(true));
Due to a technical limitation as well as just for performance reasons, only 1 instance of Human2RegexLexer
is allowed.
To use the lexer, call tokenize on your input text:
const lex_result = lexer.tokenize("<your text here>");
This returns an TokenizeResult which is passed on to the parser.
export declare class TokenizeResult {
// tokens parsed
tokens: IToken[];
// errors found
errors: CommonError[];
}
To determine if the lex occured successfully, check to see if lex_result.errors
contains any elements. The CommonError
class contains a .toString()
function which returns a textual representation of the error.
You may also use the CommonError
itself if you wish to incorporate it into a text editor.
export declare class CommonError {
// Type of error (Lexer, Parser, Semantic)
type: string;
// position of error
start_line: number;
start_column: number;
length: number;
//textual message
message: string;
}
You can reuse the lexer by calling tokenize()
again with new text.
Parsing the tokens
H2R's parser comes only with a performance optimization
export declare class Human2RegexParserOptions {
// If true, the lexer will skip validations (~25% faster)
skip_validations?: boolean = true;
}
Once your options are determined, you can instanciate a lexer like so:
import { Human2RegexParser, Human2RegexParserOptions } from "human2regex";
const parser = new Human2RegexParser(new Human2RegexParserOptions(true));
Due to a technical limitation as well as just for performance reasons, only 1 instance of Human2RegexParser
is allowed.
To use it, call the parser with your tokens from the lexer:
const parse_result = parser.parse(lex_result.tokens);
This returns an TokenizeResult which is passed on to the parser.
export declare class ParseResult {
// errors found
errors: CommonError[];
}
The parser's errors are found via parse_result.errors
and again can be checked to see if the parse was successful by checking the length of this list.
Generating your regex
Assuming no errors were found, now it's time to generate the regular expression
H2R supports a few languages so far:
export enum RegexDialect {
JS,
PCRE,
DotNet,
Java
}
After choosing one, you must validate the regular expression. This may be skipped if and only if the input has already been validated before as the generator is not guaranteed to work unless there are no errors.
const validation_errors = parse_result.validate();
The result is a list of errors which, again, is a CommonError
. If there are no errors, you can call the toRegex()
function to create a string representation of the regular expression. You can also call the toRegExp()
function to create a RegExp
expression used in Javascript
const my_regex_string = parse_result.toRegex(); // type is string
const my_regex = parse_result.toRegExp(); // type is RegExp
This will contain your regular expression.
Full Example
import { Human2RegexLexer, Human2RegexLexerOptions,
Human2RegexParser, Human2RegexParserOptions,
CommonError, RegexDialect } from "human2regex";
const lexer = new Human2RegexLexer(new Human2RegexLexerOptions(true));
const parser = new Human2RegexParser(new Human2RegexParserOptions(true));
// using JavaScript instead? Use this declaration instead
// function Human2Regex(input) {
function Human2Regex(input: string): { regex: string, errors: CommonError[] } {
// tokenize
const tokenize_result = lexer.tokenize(input);
if(tokenize_result.errors.length > 0) {
return { regex: "", errors: tokenize_result.errors };
}
// parse
const parse_result = parser.parse(tokenize_result.tokens);
if(parse_result.errors.length > 0) {
return { regex: "", errors: parse_result.errors }
}
// validate
const validation_errors = parse_result.validate(RegexDialect.JS);
if(validation_errors.length > 0) {
return { regex: "", errors: validation_errors }
}
// generate
return { regex: parse_result.toRegex(RegexDialect.JS), errors: [] };
}
const result = Human2Regex('match "Hello World"');
// check for errors
if(result.errors.length > 0) {
for(const error of result.errors) {
console.log(error.toString());
}
}
else {
console.log("Your Regex is " + result.regex);
}