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https://github.com/vorlif/spreak

Flexible translation and humanization library for Go, based on the concepts behind gettext.
https://github.com/vorlif/spreak

gettext go golang i18n internationalization localization translation

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Flexible translation and humanization library for Go, based on the concepts behind gettext.

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README

        

# Spreak ![Test status](https://github.com/vorlif/spreak/workflows/Test/badge.svg) [![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE) [![PkgGoDev](https://pkg.go.dev/badge/github.com/vorlif/spreak)](https://pkg.go.dev/github.com/vorlif/spreak) [![Go Report Card](https://goreportcard.com/badge/github.com/vorlif/spreak)](https://goreportcard.com/report/github.com/vorlif/spreak) [![codecov](https://codecov.io/gh/vorlif/spreak/branch/main/graph/badge.svg?token=N1O0ZE1OFW)](https://codecov.io/gh/vorlif/spreak) ![MinVersion](https://img.shields.io/badge/Go-1.19+-blue)

Flexible translation and humanization library for Go, based on the concepts behind gettext. Requires Go 1.19+.

### Why another library?

There are already many good libraries for Go, which allow localizing an application.
However, I always came to a point where I was dissatisfied.
Either they use a self defined format, which could not be edited with common tools.
Some libraries only support one language at a time or are using a lot of mutexes.
And no tool could easily extract the strings to be translated.
I wanted to solve these problems for myself, and so spreak was born.

### Features

* Built-in support for `po`, `mo` and [`json`](./examples/features/jhttptempl) files
* [Direct support for humanization](#package-humanize-) of Go data structures
* Support for `fs.FS` (e.g. `embed`)
* Goroutine-safe and lock free through immutability
* [Powerful extractor](https://github.com/vorlif/xspreak#xspreak) for strings to simplify the localization process
(with **support for templates**)
* [Support](https://pkg.go.dev/github.com/vorlif/spreak#hdr-Plurals)
for [gettext](https://www.gnu.org/software/gettext/manual/html_node/Plural-forms.html)
and [CLDR v44](https://cldr.unicode.org/index/cldr-spec/plural-rules) plural rules.
* Support of bilingual and monolingual formats

### Usage

Using spreak is easy. First, use go get to install the latest version of the library.

```shell
go get -u github.com/vorlif/spreak
```

After that, spreak offers you a comprehensive interface to load and query your translations.

```go
package main

import (
"fmt"

"golang.org/x/text/language"

"github.com/vorlif/spreak"
"github.com/vorlif/spreak/localize"
)

func main() {
// Create a bundle that loads the translations for the required languages.
// Typically, you only need one bundle in an application.
bundle, err := spreak.NewBundle(
// Set the language used in the program code/templates
spreak.WithSourceLanguage(language.English),
// Set the path from which the translations should be loaded
spreak.WithDomainPath(spreak.NoDomain, "./locale"),
// Specify the languages you want to load
spreak.WithLanguage(language.German, language.Spanish, language.Chinese),
)
if err != nil {
panic(err)
}

// Create a Localizer to select the language to translate.
t := spreak.NewLocalizer(bundle, language.Spanish)

// Translate
fmt.Println(t.Get("Hello world"))
fmt.Println(t.NGetf("I have %d dog", "I have %d dogs", 2, 2))
fmt.Println(t.Localize(GetPlanet()))

// Output:
// Hola Mundo
// Tengo 2 perros
// No conozco ningún planeta
}

func GetPlanet() *localize.Message {
return &localize.Message{
Singular: "I do not know any planet",
Plural: "I do not know any planets",
}
}
```

### Extract strings

Strings for the translations can be extracted via the [command line program xspreak](https://github.com/vorlif/xspreak).
Use a [pre-built binary](https://github.com/vorlif/xspreak/releases/latest) or install it from source:

```bash
go install github.com/vorlif/xspreak@latest
```

Tests installation with:

```bash
xspreak --help
```

xspreak extracts the strings from the program code and creates a template which can be used for new translations.
Before you extract your strings, you have to decide on a format.

It can either create a `.pot` (PO Templates) file in po format or a `.json` file.
If you are not sure which format to use, I would recommend you to use `po` format,
because it is supported by almost all translation programs, which makes your life and the life of your translators much
easier.

With `-D` you specify the path to your source code and with `-p` the one where the translation template should be saved.

```bash
# for .pot
xspreak -D path/to/source/ -p path/to/source/locale
# for .json
xspreak -D path/to/source/ -p path/to/source/locale -f json
```

This creates a new `.pot` or `.json` file representing the translation template.

### Translate

**po files**

The generated POT files can be easily imported by most translation tools.
If you are dealing with Po files for the first time,
I recommend the application [Poedit](https://poedit.net/) for a quick start.

After translation `.po` or `.mo` files are generated, which are used by spreak for looking up translations.
Attention, do not translate the `.pot` file directly, as this is only a template.

**json files**

You can open and edit the JSON files with any text editor.
The extracted template always uses only the plural categories `one` and `other`.
To create a template with the plural categories suitable for your language, you can use xspreak.

```bash
xspreak merge -i locale/template.json -o locale/de.json -l de
```

### Update translation files

> :warning: It would be wise before making any move to **keep a backup**.

When you add, edit or delete text in your program code, you should also update the translation files.
To achieve this, you must first update the template:

```bash
# for .pot
xspreak -D path/to/source/ -p path/to/source/locale
# for .json
xspreak -D path/to/source/ -p path/to/source/locale -f json
```

This creates a new `.pot` or `.json` file representing the *new* translation template.

**po files**

For PO files, almost every translation tool offers the possibility to update the files from a POT file.
With Poedit you can do it via `Translation -> Update from POT file`.
If you use the gettext utilities, you can use `msgmerge -U es.po template.pot`.
For all other tools, it is worth taking a look at the documentation.

**json files**

For JSON files, xspreak offers a simple way to update the translation files.

```bash
xspreak merge -i locale/template.json -o locale/de.json -l de
```

This copies new keys and existing translations from `template.json` to `de.json` and deletes keys from `de.json`
that are not present in `template.json`.

### Structure translations

How you structure the files with the translations is up to you.
Assuming you load the domain `"helloworld"` from the path `"./locale"` and the language `language.Spanish`

```go
spreak.WithDomainPath("helloworld", "./locale"),
spreak.WithLanguage(language.Spanish),
```

Then spreak searches for the following files by default

```text
./locale/es/helloworld.po
./locale/helloworld/es.po
./locale/es.po
./locale/LC_MESSAGES/es/helloworld.po
```

Where `es` is an example from the list `[es-ES, es_ES, spa, es]` and the file extension `.po` is an example from the
list `[po, mo, json]`.
If you don't like this behavior, you can implement your own [`Resolver`](examples/features/resolver/main.go).
For special cases you can also implement your own [`Loader`](examples/features/loaders/main.go).

### How to use in tests?

Just create a `Bundle` without options.
This will never return an error and can be used to create `Localizer` which then simply return the input.

```go
bundle, _ := spreak.NewBundle()
t := spreak.NewLocalizer(bundle, language.English)
```

### What's next

* Read what you can extract with [xspreak](https://github.com/vorlif/xspreak#xspreak)
* Take a look in the [examples folder](./examples) for more examples of using spreak.
* Use it!

## Package humanize [![PkgGoDev](https://pkg.go.dev/badge/github.com/vorlif/spreak/humanize)](https://pkg.go.dev/github.com/vorlif/spreak/humanize)

The `humanize` package provides a collection of functions to convert Go data structures into a human-readable format.
It was widely adapted from the [Django project](https://github.com/django/django) and also uses the Django translations.
It should therefore be noted that the translations are under
the [Django's 3-clause BSD license](https://raw.githubusercontent.com/django/django/main/LICENSE).

To use the `humanize` package, you first need to load the languages you want to use.
You can find a list of all supported languages under [humanize/locale/](humanize/locale)

```go
package main

import (
"fmt"
"time"

"golang.org/x/text/language"

"github.com/vorlif/spreak/humanize"
"github.com/vorlif/spreak/humanize/locale/ar"
"github.com/vorlif/spreak/humanize/locale/es"
"github.com/vorlif/spreak/humanize/locale/zhHans"
)

func main() {
// Load the translations for the desired languages
collection := humanize.MustNew(
humanize.WithLocale(es.New(), ar.New(), zhHans.New()),
)

// Create a humanizer.
// A humanizer features a collection of humanize functions for a language.
h := collection.CreateHumanizer(language.English)

// Uses the functions...
fmt.Println(h.Intword(1_000_000_000))
// Output: 1.0 billion

fmt.Println(h.NaturalDay(time.Now()))
// Output: today

t := time.Now().Add(5 * time.Minute)
fmt.Println(h.NaturalTime(t))
// Output: 5 minutes from now

d := -80 * time.Hour
fmt.Println(h.TimeSince(d))
// Output: 3 days, 8 hours

// ... for different languages
h = collection.CreateHumanizer(language.Spanish)
fmt.Println(h.TimeSince(d))
// Output: 3 días, 8 horas
}
```

A collection of all functions and further examples can be found in
the [documentation](https://pkg.go.dev/github.com/vorlif/spreak/humanize).

### Add translations

If you would like to add a translation or add a new language, **do not do so in this repository**.
The translations in this repository are automatically generated from the Django translations and additions should also
be made there.
Use the following link to do so: https://www.transifex.com/django/django/.
For all non-translation related errors, this repository must be used.

## License

spreak is available under the MIT license. See the [LICENSE](LICENSE) file for more info.
The translations of the `humanize` packages are licensed
under [Django's BSD license](https://raw.githubusercontent.com/django/django/main/LICENSE).