{"id":13527,"date":"2022-06-30T11:49:17","date_gmt":"2022-06-30T18:49:17","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=13527"},"modified":"2025-06-13T21:24:56","modified_gmt":"2025-06-14T04:24:56","slug":"validate-json-python-couchbase-capella","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/validate-json-python-couchbase-capella\/","title":{"rendered":"Uso de Pydantic para validar documentos JSON con Couchbase\u00a0"},"content":{"rendered":"<p><a href=\"https:\/\/www.couchbase.com\/blog\/es\/products\/capella\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Couchbase Capella<\/span><\/a><span style=\"font-weight: 400\"> es una oferta de base de datos como servicio (DBaaS) de documentos JSON totalmente gestionada que elimina las tareas de gesti\u00f3n de bases de datos y reduce los costes generales.<\/span><span style=\"font-weight: 400\"> Capella ofrece <\/span><span style=\"font-weight: 400\">rendimiento robusto, flexibilidad y escalabilidad en una moderna base de datos distribuida y nativa de la nube que fusiona los puntos fuertes de las caracter\u00edsticas de las bases de datos relacionales, como SQL y las transacciones ACID, con la flexibilidad y escalabilidad de JSON que define NoSQL.<\/span><\/p>\n<p><span style=\"font-weight: 400\"><a href=\"https:\/\/pydantic-docs.helpmanual.io\/\" target=\"_blank\" rel=\"noopener\">Pydantic<\/a> es una biblioteca que permite a los desarrolladores definir y validar objetos JSON personalizados utilizando anotaciones de tipo Python. Pydantic acelera el tiempo de codificaci\u00f3n mediante la aplicaci\u00f3n de sugerencias de tipo en tiempo de ejecuci\u00f3n y la generaci\u00f3n de errores de validaci\u00f3n f\u00e1ciles de usar. Los documentos JSON generados mediante pydantic pueden utilizarse en la plataforma Capella sin tener que preocuparse por los documentos mal formados que pueden producirse cuando los documentos JSON se crean mediante la concatenaci\u00f3n de cadenas est\u00e1ndar.<\/span><\/p>\n<h2>Configuraci\u00f3n de pydantic<\/h2>\n<p><b>Para ejecutar el proyecto de inicio r\u00e1pido, necesita los siguientes requisitos previos:<\/b><\/p>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">URL del repositorio Git:<\/span><a href=\"https:\/\/github.com\/brickj\/capella_pydantic\" target=\"_blank\" rel=\"noopener\"> <span style=\"font-weight: 400\">https:\/\/github.com\/brickj\/capella_pydantic<\/span><\/a><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Python 3 instalado<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">En <\/span><a href=\"https:\/\/pypi.python.org\/pypi\/pip\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">pip<\/span><\/a><span style=\"font-weight: 400\"> herramienta de gesti\u00f3n de paquetes<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Instalado el SDK de Couchbase Capella\u2122:<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">La documentaci\u00f3n completa se encuentra en <\/span><a href=\"https:\/\/docs.couchbase.com\/python-sdk\/current\/hello-world\/start-using-sdk.html\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">aqu\u00ed<\/span><\/a><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Ejemplo de comando Python<\/span><span style=\"font-weight: 400\">: <\/span><em><span style=\"font-weight: 400\">pip install couchbase<\/span><\/em><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Instalada la biblioteca python pydantic:<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">La documentaci\u00f3n completa se encuentra en <\/span><a href=\"https:\/\/pydantic-docs.helpmanual.io\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">aqu\u00ed<\/span><\/a><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Ejemplo de comando Python<\/span><span style=\"font-weight: 400\">: <\/span><em><span style=\"font-weight: 400\">pip install pydantic<\/span><\/em><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Cuenta Couchbase Capella:<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Inscr\u00edbete en <\/span><a href=\"https:\/\/cloud.couchbase.com\/sign-up?utm_source=google&amp;utm_medium=search&amp;utm_campaign=GGL+-+North+America+-+US%2FCA+-+Cloud+-+Brand&amp;utm_keyword=couchbase%20capella&amp;kpid=go_cmp-14963773353_adg-137104722708_ad-553533476354_kwd-1437680311919_dev-c_ext-_prd-&amp;gclid=Cj0KCQjw1N2TBhCOARIsAGVHQc6Hhim-rIoBroo4P8mV14fFqMggiU53KLMYW8dSFuUj9Ypvo_L9GRYaAvKqEALw_wcB\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">prueba gratuita de 30 d\u00edas<\/span><\/a><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Cl\u00faster Couchbase Capella y bucket denominado <em>pydantic<\/em><\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">\u00a0<\/span><span style=\"font-weight: 400\">En este blog, recorrer\u00e9 r\u00e1pidamente un ejemplo de uso de pydantic para crear documentos JSON v\u00e1lidos y almacenarlos en Couchbase Capella.<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u00a0<\/span><span style=\"font-weight: 400\">El SDK Python de Couchbase permite a los desarrolladores realizar operaciones CRUD en un bucket especificado en un cluster de Couchbase. Por ejemplo, el siguiente fragmento de c\u00f3digo realiza un upsert (insertar si la clave del documento no est\u00e1 en el bucket o actualizar si el documento ya existe):\u00a0<\/span><\/p>\n<pre class=\"decode-attributes:false lang:python decode:true\"># Store a Document\r\ncb_coll.upsert('u:king_arthur', {'name': 'Arthur', 'email': 'kingarthur@couchbase.com', 'interests': ['Holy Grail', 'African Swallows']})<\/pre>\n<p><span style=\"font-weight: 400\">Los desarrolladores de Python suelen crear documentos JSON utilizando cadenas o enteros para rellenar un objeto diccionario que almacena pares clave-valor. A continuaci\u00f3n, ese objeto diccionario se env\u00eda al bucket especificado en la base de datos de Capella para su inserci\u00f3n. El c\u00f3digo de ejemplo para crear y rellenar el objeto diccionario es similar al siguiente fragmento:<\/span><span style=\"font-weight: 400\">\u00a0<\/span><\/p>\n<pre class=\"decode-attributes:false lang:python decode:true\"># Dictionary object with keys and values\r\nsample_dict = {1: 'document 1', 2: 'document 2'}<\/pre>\n<p><span style=\"font-weight: 400\">Con pydantic, los desarrolladores tienen la flexibilidad de especificar un esquema para los objetos JSON que se puede aplicar a medida que se crean los documentos. Por ejemplo, los siguientes pasos a trav\u00e9s de la creaci\u00f3n de un documento JSON para los mensajes de usuario. El modelo del documento tiene este aspecto:<\/span><\/p>\n<p><span style=\"font-weight: 400\"> <img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-large wp-image-13528\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2022\/07\/couchbase-pydantic-data-model-1024x597.png\" alt=\"Data model for pydantic tutorial with Couchbase\" width=\"900\" height=\"525\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2022\/07\/couchbase-pydantic-data-model-1024x597.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2022\/07\/couchbase-pydantic-data-model-300x175.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2022\/07\/couchbase-pydantic-data-model-768x447.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2022\/07\/couchbase-pydantic-data-model-20x12.png 20w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2022\/07\/couchbase-pydantic-data-model.png 1236w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/span><\/p>\n<p><span style=\"font-weight: 400\">Cada <em>UsuarioPost<\/em> tiene los campos utilizados en la entrada, pero cada entrada puede tener varias revisiones que deben anidarse dentro de la entrada. Para habilitar esta funcionalidad, los desarrolladores pueden crear dos clases separadas para el objeto <em>UsuarioPost<\/em> y el <em>Consulte<\/em>. Por ejemplo:<\/span><\/p>\n<pre class=\"decode-attributes:false lang:python decode:true\">class Review(BaseModel):\r\n\u00a0 author: str\r\n\u00a0 review: str\r\n\u00a0 likes: int\r\n\u00a0\r\nclass UserPost(BaseModel):\r\n\u00a0 author: str\r\n\u00a0 date: str\r\n\u00a0 title: Optional[str] = None\r\n  content: str\r\n  id: int\r\n  likes: List[str]\r\n  reviews: List[Review]<\/pre>\n<h2>Creaci\u00f3n de documentos JSON en Python<\/h2>\n<p><span style=\"font-weight: 400\">Una vez creados los objetos, rellenar los documentos es f\u00e1cil:<\/span><\/p>\n<pre class=\"decode-attributes:false lang:python decode:true\">review = [\r\n\u00a0 Review(author=\"johndoe\", review=\"This is a comment!\", likes=3),\r\n\u00a0 Review(author=\"rickJ\", review=\"This is a Rick J comment!\", likes=1),\r\n\u00a0 Review(author=\"janedoe\", review=\"This is a Jane Doe comment!\", likes=2)\r\n\u00a0 ]\r\n\r\nuser_post1 = UserPost(author=\"johndoe\",\r\n  date=\"1\/1\/1970\",\r\n  title=\"Cool post\",\r\n  content=\"Cool content\",\r\n  id=10101,\r\n  likes=[\"johndoe\", \"janedoe\"],\r\n  reviews=review)\r\n<\/pre>\n<p><span style=\"font-weight: 400\">Ahora puede utilizar el <em>UsuarioPost<\/em> como un diccionario y upsert a Couchbase Capella utilizando un c\u00f3digo similar al upsert mostrado anteriormente pero utilizando el objeto <em>dict()<\/em> m\u00e9todo:<\/span><\/p>\n<pre class=\"decode-attributes:false lang:python decode:true\"># Upsert JSON dict with key 'u:pydantic_document'\r\ncb_coll.upsert('u:pydantic_document', user_post1.dict())<\/pre>\n<p><span style=\"font-weight: 400\">El proyecto completo ilustrado en este blog incluye lo siguiente:<\/span><\/p>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">L\u00e9ame con instrucciones<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">C\u00f3digo que crea los objetos UserPost y Review<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">C\u00f3digo que genera e imprime un documento a la salida<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">C\u00f3digo que se conecta a Couchbase Capella usando Couchbase Python SDK<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">C\u00f3digo que inserta el documento JSON generado<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">\u00a0<\/span><span style=\"font-weight: 400\">El proyecto p\u00fablico puede clonarse para Git en: <\/span><a href=\"https:\/\/github.com\/brickj\/capella_pydantic\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">https:\/\/github.com\/brickj\/capella_pydantic<\/span><\/a><\/p>\n<h2><b>Pr\u00f3ximos pasos<\/b><\/h2>\n<p><span style=\"font-weight: 400\">Para saber m\u00e1s sobre<\/span><a href=\"https:\/\/www.couchbase.com\/blog\/es\/products\/capella\/\"> <span style=\"font-weight: 400\">Couchbase Capella<\/span><\/a><span style=\"font-weight: 400\">nuestra oferta de base de datos como servicio:<\/span><\/p>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Inscr\u00edbete en\u00a0<\/span><a href=\"https:\/\/cloud.couchbase.com\/?href=Playground\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">prueba gratuita de 30 d\u00edas<\/span><\/a><span style=\"font-weight: 400\"> si a\u00fan no lo ha hecho<\/span><\/li>\n<li style=\"font-weight: 400\"><a href=\"https:\/\/cloud.couchbase.com\/sign-up\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Conecte su grupo de prueba al Playground<\/span><\/a><span style=\"font-weight: 400\"> o conecte un proyecto para probarlo usted mismo<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Si ya est\u00e1s usando Couchbase Capella, puedes interactuar con tu cluster usando el shell interactivo de Couchbase o a trav\u00e9s del plano de control de Capella para:<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Consulte el visor de documentos<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Conectarse a un proyecto<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Eche un vistazo al<\/span> <a href=\"https:\/\/developer.couchbase.com\/learn\/capella\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Ruta de aprendizaje Capella<\/span><\/a><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Consulte nuestros tutoriales<\/span>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">En <\/span><a href=\"https:\/\/developer.couchbase.com\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Portal para desarrolladores de Couchbase<\/span><\/a><span style=\"font-weight: 400\"> tiene toneladas de<\/span> <a href=\"https:\/\/developer.couchbase.com\/tutorials\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">tutoriales\/gu\u00edas de inicio r\u00e1pido<\/span><\/a><span style=\"font-weight: 400\"> y <\/span><a href=\"https:\/\/developer.couchbase.com\/learn\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">v\u00edas de aprendizaje<\/span><\/a><span style=\"font-weight: 400\"> para ayudarle a empezar<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400\"><a href=\"https:\/\/docs.couchbase.com\/home\/sdk.html\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Consulte la documentaci\u00f3n<\/span><\/a><span style=\"font-weight: 400\"> para obtener m\u00e1s informaci\u00f3n sobre los SDK de Couchbase<\/span><\/li>\n<li>Leer <a href=\"https:\/\/www.couchbase.com\/blog\/es\/validate-json-documents-in-python-using-pydantic\/\" target=\"_blank\" rel=\"noopener\">Validaci\u00f3n de documentos JSON en Python con Pydantic<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">\u00a0<\/span><span style=\"font-weight: 400\">Llegados a este punto, deber\u00edas ser capaz de utilizar r\u00e1pidamente la biblioteca pydantic para crear documentos JSON v\u00e1lidos para su uso con <\/span><a href=\"https:\/\/www.couchbase.com\/blog\/es\/products\/capella\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Couchbase Capella<\/span><\/a><span style=\"font-weight: 400\">.<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u00a0<\/span><span style=\"font-weight: 400\">Si tiene alguna pregunta o comentario, p\u00f3ngase en contacto con nosotros en la direcci\u00f3n <\/span><a href=\"https:\/\/www.couchbase.com\/blog\/es\/forums\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400\">Foros de Couchbase<\/span><\/a><span style=\"font-weight: 400\">!<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>Couchbase Capella is a fully managed JSON document Database-as-a-Service (DBaaS) offering that eliminates database-management duties and reduces overall costs. Capella offers robust performance, flexibility and scalability in a modern cloud native, distributed database that fuses the strengths of relational database [&hellip;]<\/p>","protected":false},"author":70772,"featured_media":9965,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[2225,9139,2201],"tags":[1261,1725,9687],"ppma_author":[9208],"class_list":["post-13527","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cloud","category-python","category-tools-sdks","tag-json","tag-nosql-database","tag-pydantic"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.2 (Yoast SEO v26.2) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Using Pydantic to Validate JSON Documents With Couchbase\u00a0<\/title>\n<meta name=\"description\" content=\"JSON documents generated by pydantic can be used on Couchbase Capella platform without the concern for ill-formed documents, here&#039;s how.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.couchbase.com\/blog\/es\/validate-json-python-couchbase-capella\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using Pydantic to Validate JSON Documents With Couchbase\u00a0\" \/>\n<meta property=\"og:description\" content=\"JSON documents generated by pydantic can be used on Couchbase Capella platform without the concern for ill-formed documents, here&#039;s how.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/es\/validate-json-python-couchbase-capella\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2022-06-30T18:49:17+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-14T04:24:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/12\/matrix-356024_1280.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1280\" \/>\n\t<meta property=\"og:image:height\" content=\"904\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Rick Jacobs\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Rick Jacobs\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/validate-json-python-couchbase-capella\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/validate-json-python-couchbase-capella\/\"},\"author\":{\"name\":\"Rick Jacobs\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/ecb4001e1e4b88a5c44d20c7bf39fcd3\"},\"headline\":\"Using Pydantic to Validate JSON Documents With Couchbase\u00a0\",\"datePublished\":\"2022-06-30T18:49:17+00:00\",\"dateModified\":\"2025-06-14T04:24:56+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/validate-json-python-couchbase-capella\/\"},\"wordCount\":681,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.couchbase.com\/blog\/validate-json-python-couchbase-capella\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2020\/12\/matrix-356024_1280.jpg\",\"keywords\":[\"JSON\",\"NoSQL Database\",\"pydantic\"],\"articleSection\":[\"Couchbase Capella\",\"Python\",\"Tools &amp; 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