Tutorial: crie um mecanismo de pesquisa de filmes usando a pesquisa de texto completo do Atlas em 10 Minutos

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title:"The Mortal Instruments: City of Bones"
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fullplot:"Set in contemporary New York City, a seemingly ordinary teenager, Clar..."
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year:2013
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score:6.849891185760498
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highlight:Array
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    0:Object
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        path:"fullplot"
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        texts:Array
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            0:Object
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                value:"After the disappearance of her mother, Clary must join forces with a g..."
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                type:"text"
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            1:Object
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                value:"vampires"
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                type:"hit"
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            2:Object
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            3:Object
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            4:Object
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            5:Object
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            6:Object
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        score:3.556248188018799

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[
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    { $searchBeta: {
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search: {
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      query: 'werewolves and vampires',
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      path: 'fullplot' },
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 highlight: {  path: 'fullplot' }
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               }},
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               { $project: {
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 title: 1,
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 _id: 0,
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 year: 1,
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 fullplot: 1,
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 score: { $meta: 'searchScore' },
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 highlight: { $meta: 'searchHighlights' }
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                }},
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                { $limit: 10 }
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]

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exports = function(payload) {
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  const collection =             context.services.get("mongodb-atlas").db("sample_mflix").collection("movies");
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  let arg = payload.query.arg;
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  return collection.aggregate([
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      { $searchBeta: {
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                     search: {
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                        query: arg,
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                        path:'fullplot',
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                      },
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                      highlight: { path: 'fullplot' }
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              }},
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              { $project: {
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                     title: 1,
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                     _id:0,
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                     year:1,
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                     fullplot:1,
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                     score: { $meta: 'searchScore'},
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                     highlight: {$meta: 'searchHighlights'}
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              }},
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              { $limit: 10}
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      ]).toArray();
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};

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const collection =
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context.services.get("mongodb-atlas").db("sample_mflix").collection("movies");

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let arg = payload.query.arg;

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return collection.aggregate(<<PASTE AGGREGATION PIPELINE HERE>>).toArray();