{"id":1612,"date":"2012-11-15T09:00:00","date_gmt":"2012-11-15T08:00:00","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=1612"},"modified":"2017-03-01T07:39:01","modified_gmt":"2017-03-01T15:39:01","slug":"fun-couchbase-and-markov-chains","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/pt\/fun-couchbase-and-markov-chains\/","title":{"rendered":"Divers\u00e3o com o Couchbase e as cadeias de Markov"},"content":{"rendered":"

Tenho ouvido falar sobre Cadeias de Markov<\/a> J\u00e1 estava na hora de aprender mais sobre elas e desenvolver um aplicativo simples e divertido de cadeia de Markov. Tenho certeza de que voc\u00ea n\u00e3o quer ficar atolado nos detalhes matem\u00e1ticos das cadeias de Markov - aprender criando um aplicativo \u00e9 onde est\u00e1 a divers\u00e3o!<\/p>\n

Neste blog, mostraremos como criar um aplicativo \"Marky\"<\/strong> que usa cadeias de Markov para gerar tweets sem sentido com base em seu hist\u00f3rico no Twitter. Ele usa o Couchbase Server para armazenar e processar os dados para gerar esses tweets.<\/p>\n

A Marky usa o Couchbase Server visualiza\u00e7\u00f5es<\/a> para processar dados<\/strong>
A fun\u00e7\u00e3o de mapa do Marky \u00e9 :<\/p>\n

\n
fun\u00e7\u00e3o<\/span> (<\/span>doc,<\/span> meta)<\/span> {<\/span>
\u00a0 \u00a0se<\/span>(<\/span>doc.corpo<\/span>)<\/span> {<\/span>
\u00a0 \u00a0 \u00a0 \u00a0var<\/span> palavras =<\/span> doc.corpo<\/span>.dividir<\/span>(<\/span>\/s+\/<\/span>)<\/span>;<\/span>
\u00a0 \u00a0 \u00a0 \u00a0se<\/span> (<\/span>palavras.comprimento<\/span> >=<\/span> 1<\/span>)<\/span> {<\/span>
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0emitir(<\/span>[<\/span>nulo<\/span>,<\/span> palavras[<\/span>0<\/span>]<\/span>]<\/span>,<\/span> 1<\/span>)<\/span>;<\/span>
\u00a0 \u00a0 \u00a0 \u00a0}<\/span>
\u00a0 \u00a0 \u00a0 \u00a0para<\/span>(<\/span>var<\/span> i =<\/span> 0<\/span>;<\/span> i <<\/span> (<\/span>palavras.comprimento<\/span> –<\/span> 1<\/span>)<\/span>;<\/span> i++<\/span>)<\/span> {<\/span>
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0var<\/span> par =<\/span> [<\/span>palavras[<\/span>i]<\/span>,<\/span> palavras[<\/span>i+<\/span>1<\/span>]<\/span>]<\/span>;<\/span>
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0emitir(<\/span>par,<\/span> 1<\/span>)<\/span>;<\/span>
\u00a0 \u00a0 \u00a0 \u00a0}<\/span>
\u00a0 \u00a0}<\/span>
}<\/span><\/div>\n<\/div>\n

Em um n\u00edvel mais alto, ele divide o texto em peda\u00e7os menores usando uma janela deslizante sobre duas palavras consecutivas e tenta reagrupar esses peda\u00e7os na ordem correta para formar frases com base em um peso estat\u00edstico. No final, voc\u00ea obt\u00e9m um texto sem sentido que \u00e9 divertido de ler.<\/p>\n

Por exemplo: dado o texto de entrada \"In this blog, we will show you how to build an application\" (Neste blog, mostraremos como criar um aplicativo), ele emitir\u00e1 os pares Key,Value -<\/p>\n

\n
Valor-chave<\/p>\n

[null, \"In\"] 1
[\"In\", \"this\"] 1
[\"this\", \"blog,\"] 1
[\"blog,\", \"we\"] 1
[\"we\", \"will\"] 1
[\"will\", \"show\"] 1
[\"show\", \"you\"] 1
[\"you\", \"how\"] 1
[\"how\", \"to\"] 1
[\"to\", \"build\"] 1
[\"build\", \"an\"] 1
[\"an\", \"application\"] 1<\/div>\n<\/div>\n

Para gerar uma palavra, consultamos a exibi\u00e7\u00e3o usando a \u00faltima palavra que produzimos. Por exemplo, para obter candidatos a uma palavra ap\u00f3s \"the\", usamos os par\u00e2metros de consulta startkey=[\"the\"]&endkey=[\"the\",{}]&group_level=2&reduce=true<\/p>\n

Isso obter\u00e1 todos os pares de palavras que produzimos que come\u00e7am com \"the\", agrupar\u00e1 os pares que s\u00e3o iguais e executar\u00e1 a fun\u00e7\u00e3o reduce da visualiza\u00e7\u00e3o em cada grupo. O Marky usa o reduce _sum incorporado, que somar\u00e1 os valores que lhe forem fornecidos. A execu\u00e7\u00e3o desse procedimento no banco de dados que faz o backup de dkatz_ebooks produz:<\/p>\n

\n
Valor-chave
[\"o\", \"#1\u2033] 1
[\"o\", \"100\u2033] 1
[\"o\", \"2\u2033] 1
[\"the\", \"ability\"] 3
[\"the\", \"absolute\"] 1
[\"the\", \"answer\"] 1
[\"o\", \"aplicativo\"] 1
[\"o\", \"aplicativo\"] 1
[\"a\", \"\u00e1rea,\"] 1
[\"the\", \"background.\"] 1<\/div>\n<\/div>\n

Para escolher a palavra a ser emitida ap\u00f3s \"the\", escolhemos uma palavra que a segue aleatoriamente, mas ponderamos nossa escolha com base na frequ\u00eancia do par de palavras que aparece na entrada. Isso significa que damos a \"ability\" uma chance de 3\/12 ou 25% de ser escolhida aqui, enquanto o restante das palavras tem uma chance de 1\/12 de ser escolhida ou 8,3%.<\/p>\n

Como no in\u00edcio de uma frase, emparelhamos a primeira palavra com nulo (por exemplo: [null, \"In\"] no exemplo anterior), podemos fazer a mesma consulta com nulo para iniciar uma nova sa\u00edda e obter palavras que provavelmente iniciar\u00e3o um pensamento, um tweet ou qualquer que seja a nossa entrada. Tamb\u00e9m precisamos fazer isso se n\u00e3o tivermos sorte e n\u00e3o recebermos nenhuma palavra candidata da primeira consulta de visualiza\u00e7\u00e3o. Isso pode acontecer se a palavra na consulta tiver aparecido apenas no final dos textos de entrada que processamos.<\/p>\n

<\/p>\n

Aplicativo Marky<\/strong><\/p>\n

Marky usa um wrapper simples do clojure<\/a> criado pela comunidade. Para configurar o marky, crie um arquivo marky-config.clj e aponte-o para o cluster do Couchbase Server e a conta do Twitter. Adicione alguns dados de semente, contas de usu\u00e1rio do Twitter ou feeds at\u00f4micos e voc\u00ea estar\u00e1 pronto para iniciar o aplicativo.<\/p>\n

<\/p>\n

\n
{:bucket \"default\"
:pass \"\"
:cburl \"https:\/\/localhost:8091\/\"
:twitter {:app-key \"XXXXXXXXX\"
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 segredo do aplicativo \"XXXXXXXXXX\"
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 token de usu\u00e1rio \"XXXXXXXX\"
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 :user-secret \"XXXXXXXX\"}
:jobs
[; :period, :after est\u00e3o em segundos, :ttl est\u00e1 em dias.
\u00a0{:type :twitter :user \"user-handle1\" :period 3600 :ttl 60}
\u00a0{:type :twitter :user \"user-handle2\" :period 3600 :ttl 60}
\u00a0{:type :send-tweet :period 3600 :after 600}
\u00a0{:type :atom :url \"https:\/\/some-domain\/rssfeed.php\" :period 86400 :ttl 60}]}<\/div>\n<\/div>\n

Aqui est\u00e3o alguns tweets divertidos do Marky<\/p>\n

\"\"<\/p>\n

\"\"<\/p>\n

\"\"<\/p>\n

\"\"<\/p>\n

Quer ficar com o Marky?<\/p>\n

Voc\u00ea pode fazer o download do c\u00f3digo-fonte do Marky aqui<\/a>
Voc\u00ea tamb\u00e9m pode contribuir com o projeto clojure wrapper aqui<\/a><\/p>\n

Divirta-se!<\/p>\n

—-<\/p>\n

Agradecemos a Aaron por ter elaborado o c\u00f3digo em clojure.<\/p>","protected":false},"excerpt":{"rendered":"

I\u2019ve been hearing about Markov chains for long enough \u2013 it was time that I learned more about them and develop a simple fun markov chain application. 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