{"id":138,"date":"2016-10-26T01:02:19","date_gmt":"2016-10-26T01:02:19","guid":{"rendered":"https:\/\/blog.jkanework.com\/post.php?idpost=138"},"modified":"2016-10-26T01:02:19","modified_gmt":"2016-10-26T01:02:19","slug":"crea-traducciones-con-json","status":"publish","type":"post","link":"https:\/\/blog.jkanetwork.com\/?p=138","title":{"rendered":"Crea traducciones con JSON"},"content":{"rendered":"<p>En mi af&aacute;n investigador he descubierto un sistema para traducir programas en Python utilizando JSON, el m&eacute;todo es extensible a otros lenguajes y depender&aacute; de como maneje los datos de JSON.<\/p>\n<p>Para empezar un poco de teor&iacute;a:<br \/> Python al hacer un <em>parser<\/em> de JSON convierte los datos en un diccionario y se utiliza como clave de cada elemento el identificador con el mismo nombre que el JSON. Este m&eacute;todo permite una actualizaci&oacute;n de las traducciones m&aacute;s r&aacute;pida que gettext y es algo m&aacute;s simple de implementar.<\/p>\n<p>Primero necesitamos una base de datos JSON con los textos que tienen que salir por la pantalla, podemos hacer un mismo archivo con varios idiomas o varios archivos cada uno por un idioma.<\/p>\n<p>Aqu&iacute; el ejemplo de archivo JSON<br \/>&nbsp;<\/p>\n<pre class=\"language-javascript\"><code>{\n    \"es\":{\n        \"Titles\":{\n            \"First\":\"El procesador segmentado\",\n            \"Subtitle\":\"Muestra de partes en el procesador segmentado\",\n            \"Parts\":[\"B&uacute;squeda\",\"Decodificacion\",\"Ejecuci&oacute;n\",\"Memoria\",\"Escritura\"]\n        }\n    },\n    \"en\":{\n        \"Titles\":{\n            \"First\":\"The pipelined processor\",\n            \"Subtitle\":\"Show the parts in the pipelined processor\",\n            \"Parts\":[\"Find\",\"Decodification\",\"Execution\",\"Memory\",\"Write\"]\n        }\n    }\n}<\/code><\/pre>\n<p>Lo m&aacute;s importante en este caso es que la estructura sea la misma si no tendremos problemas, mi recomendaci&oacute;n es que las traducciones se hagan copiando una traducci&oacute;n correcta e ir sustituyendo cada parte, si los nombres de los identificadores no coincide el programa no funcionar&aacute;.<\/p>\n<p>Despu&eacute;s de crear nuestros ficheros con las traducciones lo utilizamos en Python. Este es el c&oacute;digo de ejemplo<\/p>\n<pre class=\"language-python\"><code>#!\/usr\/bin\/python3\nimport json\n#Cargamos el json y lo guardamos en data que es un diccionario\nwith open('lang.json') as data_file:    \n    data = json.load(data_file)\n#Seleccionamos el idioma\nlang = \"es\" #Este paso depende de la implementaci&oacute;n\n#Para acceder a data basta con usar el identificador en JSON\nprint(data[lang][\"Titles\"][\"First\"])\nprint(data[lang][\"Titles\"][\"Subtitle\"])\nfor x in data[lang][\"Titles\"][\"Parts\"]:\n\tprint(x)\n<\/code><\/pre>\n<p>Paso a paso explicado ser&iacute;a.<\/p>\n<ol>\n<li>Importamos la librer&iacute;a json y cargamos el archivo\n<pre class=\"language-python\"><code>import json\nwith open('lang.json') as data_file:    \n    data = json.load(data_file)\u200b<\/code><\/pre>\n<\/li>\n<li>Tras esto cargamos el idioma, en este caso la carga es est&aacute;tica pero esto puede hacerse de muchas maneras, un fichero de configuraci&oacute;n, la variable LANG del sistema etc&eacute;tera.\n<pre class=\"language-python\"><code>lang = \"es\" \u200b<\/code><\/pre>\n<\/li>\n<li>Por &uacute;ltimo utilizamos los datos como un diccionario, los arrays se acceden igual que si fueran nativos.\n<pre class=\"language-python\"><code>print(data[lang][\"Titles\"][\"First\"])\nprint(data[lang][\"Titles\"][\"Subtitle\"])\nfor x in data[lang][\"Titles\"][\"Parts\"]:\n\tprint(x)\n\u200b<\/code><\/pre>\n<\/li>\n<\/ol>\n<p>Como anotaci&oacute;n si se quiere cargar un fichero distinto seg&uacute;n el idioma (una opci&oacute;n m&aacute;s recomendable si son muchas cadenas) solo hace falta cargar el idioma antes y abrir el fichero seg&uacute;n el idioma cargado. El funcionamiento es el mismo, solo que con diferentes archivos.<\/p>\n<p>Por &uacute;ltimo algunas capturas<br \/> <img decoding=\"async\" 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alt=\"\" \/><br \/> <small>Con <em>lang=\u00bbes\u00bb<\/em><\/small><\/p>\n<p><img decoding=\"async\" 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alt=\"\" \/><br \/> <small>Con <em>lang=\u00bben\u00bb<\/em><\/small><\/p>\n<p>Espero que este m&eacute;todo para traducir proyectos os sea &uacute;til y no olvid&eacute;is dejar vuestras sugerencias en los comentarios.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>En mi af&aacute;n investigador he descubierto un sistema para traducir programas en Python utilizando JSON, el m&eacute;todo es extensible a otros lenguajes y depender&aacute; de como maneje los datos de JSON. Para empezar un poco de teor&iacute;a: Python al hacer un parser de JSON convierte los datos en un diccionario y se utiliza como clave [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-138","post","type-post","status-publish","format-standard","hentry","category-tutoriales"],"_links":{"self":[{"href":"https:\/\/blog.jkanetwork.com\/index.php?rest_route=\/wp\/v2\/posts\/138","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.jkanetwork.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.jkanetwork.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.jkanetwork.com\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.jkanetwork.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=138"}],"version-history":[{"count":0,"href":"https:\/\/blog.jkanetwork.com\/index.php?rest_route=\/wp\/v2\/posts\/138\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.jkanetwork.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=138"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.jkanetwork.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=138"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.jkanetwork.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=138"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}