Gherkin is a parser and compiler for the Gherkin language.
Gherkin is currently implemented for the following platforms (in order of birthday):
See CONTRIBUTING.md
if you want to contribute a parser for a new language.
Our wish-list is (in no particular order):
- C
- PHP
- Rust
- Elixir
Gherkin can be used either through its command line interface (CLI) or as a library.
It is designed to be used in conjunction with other tools such as Cucumber or Gherkin-Lint, which consume the output from the CLI or library.
Other tools should use the library if there is a Gherkin library in the same language as the tool itself. If not, use the CLI in one of the implementations.
The Gherkin CLI makes it possible to implement Cucumber for a new language, say Rust or Elixir, without having to implement a Gherkin parser too.
The Gherkin CLI gherkin
reads Gherkin source files (.feature
files) and outputs
ASTs and Pickles.
The gherkin
program takes any number of files as arguments and prints the results
to STDOUT
as Newline Delimted JSON.
Each line is a JSON document that conforms to the Cucumber Event Protocol.
To try it out, just install Gherkin for your favourite language, and run it over the files in this repository:
gherkin testdata/**/*.feature
Ndjson is easy to read for programs, but hard for people. To pretty print each JSON document you can pipe it to the jq program:
gherkin testdata/**/*.feature | jq
Using the library is the preferred way to use Gherkin since it produces easily consumable AST and Pickle objects in-process without having to fork a CLI process or parse JSON.
The library itself provides a stream API, which is what the CLI is based on. This is the recommended way to use the library as it provides a high level API that is easy to use. See the CLI implementations to get an idea of how to use it.
Alternatively, you can use the lower level parser and compiler. Some usage examples are below:
// Java
Parser<GherkinDocument> parser = new Parser<>(new AstBuilder());
GherkinDocument gherkinDocument = parser.parse("Feature: ...");
List<Pickle> pickles = new Compiler().compile(gherkinDocument)
// C#
var parser = new Parser();
var gherkinDocument = parser.Parse("Feature: ...");
# Ruby
require 'gherkin/parser'
require 'gherkin/pickles/compiler'
parser = Gherkin::Parser.new
gherkin_document = parser.parse("Feature: ...")
pickles = Gherkin::Pickles::Compiler.new.compile(gherkin_document)
// JavaScript
var Gherkin = require('gherkin');
var parser = new Gherkin.Parser();
var gherkinDocument = parser.parse("Feature: ...");
var pickles = new Gherkin.Compiler().compile(gherkinDocument);
// Go
// Download the package via: `go get github.com/cucumber/gherkin-go`
import (
"strings"
"github.com/cucumber/gherkin-go"
)
reader := strings.NewReader(`Feature: ...`)
gherkinDocument, err := gherkin.ParseGherkinDocument(reader)
# Python
from gherkin.parser import Parser
from gherkin.pickles.compiler import compile
parser = Parser()
gherkin_document = parser.parse("Feature: ...")
pickles = compile(gherkin_document)
// Objective-C
#import "GHParser+Extensions.h"
GHParser * parser = [[GHParser alloc] init];
NSString * featureFilePath; // Should refer to the place where we can get the content of the feature
NSString * content = [NSString stringWithContentsOfURL:featureFilePath encoding:NSUTF8StringEncoding error:nil];
if([content stringByTrimmingCharactersInSet:[NSCharacterSet whitespaceAndNewlineCharacterSet]].length == 0){
// GHParser will throw an error if you passed empty content... handle this issue first.
}
GHGherkinDocument * result = [parser parseContent:content];
# Perl
use Gherkin::Parser;
use Gherkin::Pickles::Compiler;
my $parser = Gherkin::Parser->new();
my $gherkin_document = $parser->parse("Feature: ...");
my $pickles = Gherkin::Pickles::Compiler->compile($gherkin_document);
If you want to use a newline character in a table cell, you can write this
as \n
. If you need a '|' as part of the cell, you can escape it as \|
. And
finally, if you need a '', you can escape that with \\
.
The following diagram outlines the architecture:
╔════════════╗ ┌───────┐ ╔══════╗ ┌──────┐ ╔═══╗
║Feature file║──>│Scanner│──>║Tokens║──>│Parser│──>║AST║
╚════════════╝ └───────┘ ╚══════╝ └──────┘ ╚═══╝
The scanner reads a gherkin doc (typically read from a .feature
file) and creates
a token for each line. The tokens are passed to the parser, which outputs an AST
(Abstract Syntax Tree).
If the scanner sees a #language
header, it will reconfigure itself dynamically
to look for Gherkin keywords for the associated language. The keywords are defined in
gherkin-languages.json
.
The scanner is hand-written, but the parser is generated by the Berp parser generator as part of the build process.
Berp takes a grammar file (gherkin.berp
) and a template file (gherkin-X.razor
) as input
and outputs a parser in language X:
╔════════════╗ ┌────────┐ ╔═══════════════╗
║gherkin.berp║──>│berp.exe│<──║gherkin-X.razor║
╚════════════╝ └────────┘ ╚═══════════════╝
│
V
╔════════╗
║Parser.x║
╚════════╝
Also see the wiki for some early design docs (which might be a little outdated, but mostly OK).
The AST produced by the parser can be described with the following class diagram:
Every class represents a node in the AST. Every node has a Location
that describes
the line number and column number in the input file. These numbers are 1-indexed.
All fields on nodes are strings (except for Location.line
and Location.column
).
The implementation is simple objects without behaviour, only data. It's up to the implementation to decide whether to use classes or just basic collections, but the AST must have a JSON representation (this is used for testing).
Each node in the JSON representation also has a type
property with the name
of the node type.
You can see some examples in the testdata/good directory.
The AST isn't suitable for execution by Cucumber. It needs further processing into a simpler form called Pickles.
The compiler compiles the AST produced by the parser into pickles:
╔═══╗ ┌────────┐ ╔═══════╗
║AST║──>│Compiler│──>║Pickles║
╚═══╝ └────────┘ ╚═══════╝
The rationale is to decouple Gherkin from Cucumber so that Cucumber is open to support alternative formats to Gherkin (for example Markdown).
The simpler Pickles data structure also simplifies the internals of Cucumber. With the compilation logic maintained in the Gherkin library we can easily use the same test suite for all implementations to verify that compilation is behaving consistently between implementations.
Each Scenario
will be compiled into a Pickle
. A Pickle
has a list of
PickleStep
, derived from the steps in a Scenario
.
Each Examples
row under Scenario Outline
will also be compiled into a Pickle
.
Any Background
steps will also be compiled into a Pickle
.
Every tag, like @a
, will be compiled into a Pickle
as well (inheriting tags from parent elements
in the Gherkin AST).
Example:
@a
Feature:
@b @c
Scenario Outline:
Given <x>
Examples:
| x |
| y |
@d @e
Scenario Outline:
Given <m>
@f
Examples:
| m |
| n |
Using the CLI we can compile this into several pickle objects:
gherkin testdata/good/readme_example.feature --no-source --no-ast | jq
Output:
{
"type": "pickle",
"uri": "testdata/good/readme_example.feature",
"pickle": {
"name": "",
"steps": [
{
"text": "y",
"arguments": [],
"locations": [
{
"line": 9,
"column": 7
},
{
"line": 5,
"column": 11
}
]
}
],
"tags": [
{
"name": "@a",
"location": {
"line": 1,
"column": 1
}
},
{
"name": "@b",
"location": {
"line": 3,
"column": 3
}
},
{
"name": "@c",
"location": {
"line": 3,
"column": 6
}
}
],
"locations": [
{
"line": 9,
"column": 7
},
{
"line": 4,
"column": 3
}
]
}
}
{
"type": "pickle",
"uri": "testdata/good/readme_example.feature",
"pickle": {
"name": "",
"steps": [
{
"text": "n",
"arguments": [],
"locations": [
{
"line": 18,
"column": 7
},
{
"line": 13,
"column": 11
}
]
}
],
"tags": [
{
"name": "@a",
"location": {
"line": 1,
"column": 1
}
},
{
"name": "@d",
"location": {
"line": 11,
"column": 3
}
},
{
"name": "@e",
"location": {
"line": 11,
"column": 6
}
},
{
"name": "@f",
"location": {
"line": 15,
"column": 5
}
}
],
"locations": [
{
"line": 18,
"column": 7
},
{
"line": 12,
"column": 3
}
]
}
}
Each Pickle
event also contains the path to the original source. This is useful for
generating reports and stack traces when a Scenario fails.
Cucumber will further transform this list of Pickle
objects to a list of TestCase
objects. TestCase
objects link to user code such as Hooks and Step Definitions.
See CONTRIBUTING.md
- cucumber-ruby
- cucumber-js
- godog - Cucumber like BDD framework for go