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Description:

CreateMultiLangs 0.1.1

Create-Multi-Langs
Create-Multi-Langs is a package to create code for multi-lingual sites development,
Features

Use CSV file grid table as translated source data instead of JSON to better manage translations.
Output code language support python, go, javascript(ES6), typescript.
No more map or dict like so, but use property to get code intelligence.
Support watching mode for source csv file.

Install
pip install create-multi-langs

Prepare Data
prepare csv data by yourself, liek valid_format.csv:

_field
zh-tw
en
_note

SelectLang
繁體中文
English
# select language

Login
登入
Login
used for login button

Hello
您好,歡迎
Hello,Welcome
pop up greeting message

Use CSV file as source data, a grid table is easier to manage for multi-lingual application.
_field and _note are preserved column names, others column names are considered as language code
the values under column _field, will become the field name in code file, but constraint the name with common naming rule of which language
the values under column _note, will become the comment for code docs

Usage
create-multi-langs valid_format.csv generated.py

support output language: typscript, javascript, go, python
the generated code is determined by your output filename extension like: .py .go .js .ts .mjs

Testing
import from generated.py:
from generated import MultiLangs, ZH_TW, EN

ml = MultiLangs(ZH_TW)
assert ml.hello == "您好,歡迎"
assert ml.login == "登入"
assert ml.select_lang == "繁體中文"

ml.set_lang(EN)
assert ml.hello == "Hello,Welcome"
assert ml.login == "Login"
assert ml.select_lang == "English"

import from generated.js:
import { ml, setLang } from "./generated_frontend.mjs"

var compare = function(expect_value, actual_value) {
if (expect_value !== actual_value) {
return `[Error] expect '${expect_value}' but got '${actual_value}'\n`
}
return ""
}

var errs = ""
errs += compare(ml.hello, "您好,歡迎")
errs += compare(ml.login, "登入")
errs += compare(ml.selectLang, "繁體中文")
setLang("en")
errs += compare(ml.hello, "Hello,Welcome")
errs += compare(ml.login, "Login")
errs += compare(ml.selectLang, "English")

if (errs !== "") {
throw errs
}

import from generated.ts:
import { ml, setLang } from "./generated_frontend"

const compare = (expect_value: string, actual_value: string): string => {
if (expect_value !== actual_value) {
return `[Error] expect '${expect_value}' but got '${actual_value}'\n`
}
return ""
}

let errs = ""
errs += compare(ml.hello, "您好,歡迎")
errs += compare(ml.login, "登入")
errs += compare(ml.selectLang, "繁體中文")
setLang("en")
errs += compare(ml.hello, "Hello,Welcome")
errs += compare(ml.login, "Login")
errs += compare(ml.selectLang, "English")

if (errs !== "") {
throw errs
}

import from generated.go:
package generated

import "testing"
import "github.com/stretchr/testify/assert"

func TestGenerated(t *testing.T) {
ml := NewMultiLangs(ZHTW)
assert.Equal(t, "您好,歡迎", ml.Hello)
assert.Equal(t, "登入", ml.Login)
assert.Equal(t, "繁體中文", ml.SelectLang)
ml.SetLang(EN)
assert.Equal(t, "Hello,Welcome", ml.Hello)
assert.Equal(t, "Login", ml.Login)
assert.Equal(t, "English", ml.SelectLang)
}

Help
$ create-multi-langs --help
usage: create-multi-langs [-h] [--backend] [--py_typing] [--watch] [--sep SEP]
[--naming_rule NAMING_RULE]
from_csv to_file

Running DeepSpeech inference.

positional arguments:
from_csv Generate script from csv
to_file generate file path, support ext: .go .py .js .ts .mjs

optional arguments:
-h, --help show this help message and exit
--backend, -b Default is generate frontend script for js/ts
--py_typing, -t Default is generate python script without typing
--watch, -w Watch csv file changed
--sep SEP, -s SEP CSV seperated punctuation
--naming_rule NAMING_RULE, -n NAMING_RULE
specify your property style, [valid options]
`ucc`(UpperCamelCase), `lcc`(lowerCamelCase),
`upper`(ALL_UPERCASE_UNDERSCORE),
`lower`(all_lowercase_underscore) [default setting]
Go: `ucc`, Python: `lower`, Typescript: `lcc`,
javascript: `lcc`