In the article we will take the advantage of [generics] even that they are not first citizen in Go. We will explore gen and genny command line tools.

Gen

Gen is a code generation tool that brings some generic query functions. It uses annotations to add this functionality to any structure. The generated code is part of your package and does not have any external dependencies. This approach avoids any reflection and produces an efficient concrete implementation for any annotated type.

By default the package generates various query functions. They can be used to project, filter, sort and group slices of the annotated types.

Installation

We should use go get command to install gen:

$ go get clipperhouse.github.io/gen

Usage

As any other Go generation tool, Gen requires a specific annoation comment declared before the desired type declaration.

// +gen [*] tag:"Value, Value[T,T]" anothertag
type AnnotatedType

It begins with the +gen directive. Optionally it is followed by a [*], indicating that the generated type should be a pointer. Tags and values are interpreted by the available type writers. They are responsible for the actual code generation. We will learn more about them in the next section. For now we will use the default slice type writer.

Lets use it to generate functions for filtering, distincting, sorting and projecting a Company struct:

// filename: company.go
package company

// +gen slice:"Where,GroupBy[string],DistinctBy,SortBy,Select[string]"
type Company struct {
	Name    string
	Country string
	City    string
}

After declaring the type annoation, we should execute gen:

$ gen

It produces comapany_slice.go file that contains the concrete implementation for any listed function in the comment.

Lets use the generated functions with the following slice:

companies := company.CompanySlice{
	company.Company{Name: "Microsoft", Country: "USA", City: "Redmond"},
	company.Company{Name: "Google", Country: "USA", City: "Palo Alto"},
	company.Company{Name: "Facebook", Country: "USA", City: "Palo Alto"},
	company.Company{Name: "Uber", Country: "USA", City: "San Francisco"},
	company.Company{Name: "Tweeter", Country: "USA", City: "San Francisco"},
	company.Company{Name: "SoundCloud", Country: "Germany", City: "Berlin"},
}

Lets get all companies that are based on USA. For that you should use the Where function, which receives predicate function as an argument.

The clojure function receives a company object as argument and returns boolean value. It is executed for every item in the slice. It should retun true for all objects that meets our criteria:

allUSCompanies := companies.Where(func(comp company.Company) bool {
	return comp.Country == "USA"
})

If we distinct all companies by their country of origin, we should use the DistinctBy function that uses a function that checks two company objects for equaty:

uniqueCompanies := companies.DistinctBy(func(compA company.Company, compB company.Company) bool {
	return compA.Country == compB.Country
})

If we want to sort the companies by their name, we should use SortBy function that receives as an argument a function that determines whether its first argument is less that second one:

// In our case we can use strings.Compare to compare to strings. It returns -1
// the first string is less than the second.
sortedCompanies := companies.SortBy(func(compA company.Company, compB company.Company) bool {
	return strings.Compare(compA.Name, compB.Name) == -1
})

If we want to group the companies by their country of residence, we can use GroupByString function that returns a map[string]company.CompanySlice object. The key of every entry is determined by its clojure function.

groupedCompanies := companies.GroupByString(func(comp company.Company) string {
	return comp.Country
})

fmt.Println("US Companies: ", groupedCompanies["USA"])
fmt.Println("German Companies: ", groupedCompanies["Germany"])

The company slice can be projected as a string by using generated Select function. The following code snippet projects the list of companies as a list of company names:

companyNames := companies.SelectString(func(comp company.Company) string {
	return comp.Name
})

fmt.Println(companyNames)
// This slice of strings is produced by the code snippet
[Microsoft Google Facebook Uber Tweeter SoundCloud]

A great Gen feature is that most of the functions can be chained. Lets select all companies based in USA then order them by their name and format their name in the following format:

%COMPANY_NAME% is based in %CITY%

We can simply chain Where, SortBy and SelectString functions:

result := companies.Where(func(comp company.Company) bool {
	return comp.Country == "USA"
}).SortBy(func(compA company.Company, compB company.Company) bool {
	return strings.Compare(compA.Name, compB.Name) == -1
}).SelectString(func(comp company.Company) string {
	return fmt.Sprintf("%s's is based in %s", comp.Name, comp.City)
})

for _, text := range result {
	fmt.Println(text)
}

You can read more about another auxiliary function in the official documentation.

Implementing a type writer

The type writers are responsible for interpreting the annotated tags and generating go code. They are implementing the following interface:

type Interface interface {
	Name() string
	Imports(t Type) []ImportSpec
	Write(w io.Writer, t Type) error
}
  • Name returns the writer’s name
  • Imports function returns a slice of packages that are required and written as imports in the generated file
  • Write function writes the actual generated code

Lets implement a writer that generates the Stack data structure. Gen uses text/template as a templating format.

// A structure that represents a stack data structure
// for {{.Name}} type
//
// Example:
// stack := &stack.Stack{}
// stack.Push(new(TValue))
// value, err := stack.Pop()
type {{.Name}}Stack struct {
	data []{{.Pointer}}{{.Name}}
}

// Adds an element on top of the stack
func (s *{{.Name}}Stack) Push(value {{.Pointer}}{{.Name}}) {
	s.data = append(s.data, value)
}

// Removes an element from top of the stack.
// If the stack is empty, it returns an error.
func (s *{{.Name}}Stack) Pop() ({{.Pointer}}{{.Name}}, error) {
	length := len(s.data)
	if length == 0 {
		return nil, errors.New("Stack is empty")
	}

	value := s.data[length-1]
	s.data = s.data[:length-1]
	return value, nil
}

The template declared by typewriter.Template instance. The templateContent variable contains the actual text/template string:

// filename: templates.go
package stack

import "github.com/clipperhouse/typewriter"

var templates = typewriter.TemplateSlice{
	stackTmpl,
}

var stackTmpl = &typewriter.Template{
	Name: "Stack",
	Text: templateContent,
}

The following structure implements a type writer responsible for code generation of declared template:

// filename: stack.go
package stack

import (
	"io"

	"github.com/clipperhouse/typewriter"
)

func init() {
	if err := typewriter.Register(NewWriter()); err != nil {
		panic(err)
	}
}

type writer struct{}

// Creates a new stack type writer
func NewWriter() typewriter.Interface {
	return &writer{}
}

func (tw *writer) Name() string {
	return "stack"
}

func (tw *writer) Imports(t typewriter.Type) (result []typewriter.ImportSpec) {
	return
}

func (tw *writer) Write(w io.Writer, t typewriter.Type) error {
  // retrieve that for this type writer a tag is declared in the annoation
	// if it's not found the writer won't be generate anything
	tag, found := t.FindTag(tw)

	if !found {
		return nil
	}

  // Write a header commend in the generated file
	header := "// DO NOT MODIFY. Auto-generated code."
	if _, err := w.Write([]byte(header)); err != nil {
		return err
	}

	// A template for the exact tag is retrieved
	tmpl, err := templates.ByTag(t, tag)
	if err != nil {
		return err
	}

  // Write out the template substitution to the writer
	if err := tmpl.Execute(w, t); err != nil {
		return err
	}
	return nil
}

In ored to use the template we should declare annotation. Lets annotate company.Company struct:

// +gen * stack
type Company struct {
	Name    string
	Country string
	City    string
}

After executing $ gen command a company_stack.go file is placed in the package directory. It contains an actual implementation of CompanyStack structure, which can be used in the following way:

stack := &StudentStack{}
stack.Push(&Student{FirstName: "John", LastName: "Smith"})
student, err := stack.Pop()

A complete implementation of the custom type writer can be pulled from this repository.

Genny

Genny is a code-generation tool that replaces usage of generics. It allows to transform a Go source code into specific implementation by replacing its generic types.

Installation

Install by executing go get:

$ go get github.com/cheekybits/genny

Usage

The tool uses a similar approach as gotemplate. A special comment should be provided in order to be recognised by go generate:

//go:generate genny -in=$GOFILE -out=gen-$GOFILE gen "KeyType=string,int ValueType=string,int"

Parameters:

  • -in specifies the input file (template)
  • -out specifies the output file
  • $GOFILE refers to the current file
  • KeyType and ValueType are the parameter names in the specified template

As the other tools, we should just call go generate to produce a file that is result of substition between the template and provided parameters.

Declaring generics

The template can contains as many as we require parameters. They should be defined using the special genny type generic.Type:

type KeyType generic.Type
type ValueType generic.Type

Lets port the Stack data struct in genny:

//go:generate genny -in=$GOFILE -out=gen-$GOFILE gen "ValueType=*Student"
type ValueType generic.Type

type Stack struct {
	data []ValueType
}

func (s *Stack) Push(value TValueType) {
	s.data = append(s.data, value)
}

func (s *Stack) Pop() (TValueType, error) {
	length := len(s.data)
	if length == 0 {
		return nil, errors.New("Stack is empty")
	}

	value := s.data[length-1]
	s.data = s.data[:length-1]
	return value, nil
}

Significant difference from gotemplate is that in genny the special go:generate comment should be placed in the actual template. This can be avoid by executing genny from the command line shell:

$ cat ./stack.go | genny gen "ValueType=*Student" > student_stack.go

Conclusion

Do you still complain that Go does not support generics?

Gen and genny are great tools for automating a common development tasks. Because of their template nature, we can focus on what should be generated instead of how to generate it.