Mongodb 如何用'；实时'；可供替代的

我一直在使用定义了

prefetch

[]选项的侦探犬

这很好，除非我将内容添加到正在预取的json文件中，否则它不能作为搜索结果使用，除非我重新启动浏览器

所以我试图让搜索结果“实时”反映更新的文件内容

我试图简单地用

remote

替换

prefetch

，但这会导致搜索功能无法正常工作（它显示不匹配的结果）

下面是我与

预取一起使用的代码

版本信息：
typeahead.bundle.min.js
at
v0.10.5

function searchFunction() {
    var template =
        "<p class=\"class_one\">{{area}}</p><p class=\"class_two\">{{title}}</p><p class=\"class_three\">{{description}}</p>";
    var compiled_template = Hogan.compile(template);
    var dataSource = new Bloodhound({
        datumTokenizer: function(d) {
            return Bloodhound.tokenizers.whitespace(d.tokens.join(
                ' '));
        },
        queryTokenizer: Bloodhound.tokenizers.whitespace,
        prefetch: '/static/my_file.json'
        # remote: '/search'
    });
    dataSource.initialize();
    $('.my_lookup .typeahead').typeahead({}, {
        source: dataSource.ttAdapter(),
        name: 'courses',
        displayKey: 'title',
        templates: {
            suggestion: compiled_template.render.bind(
                compiled_template)
        }
    }).focus().on('typeahead:selected', function(event, selection) {
        var title = selection.title
            // do things with the title variable
    });
}

JS

function searchFunction() {

var engine = new Bloodhound({
    remote: {
        url: '/search?q=%QUERY%',
        wildcard: '%QUERY%'
    },
  datumTokenizer: Bloodhound.tokenizers.whitespace('q'),
  queryTokenizer: Bloodhound.tokenizers.whitespace,

});

engine.initialize();

$('.my_lookup .typeahead').typeahead({
}, {
source: engine.ttAdapter(),
name: 'courses',
displayKey: 'title',
templates: {
suggestion: function (data) {
                return "// not sure how to apply markup to each match"
      }
}
}).focus().on('typeahead:selected', function(event, selection) { 
console.log(selection);
var title = "// again not sure how to access individual match data"
// do things with the title variable
});
}

MongoDB模式

数据库：
课程


收藏：
课程


文件：

{
    "_id" : ObjectId("4793765242f9d1337be3d538"),
    "tokens" : [ 
        "apple", 
        "orange"
    ],
    "area" : "Nautical",
    "title" : "Boats",
    "description" : "Here is a description."
}

以及：

{
    "_id" : ObjectId("4793765242f9d1337be3d539"),
    "tokens" : [ 
        "apple", 
        "pineapple"
    ],
    "area" : "Aviation",
    "title" : "Planes",
    "description" : "Here is a description."
}

等

Python（使用路由）

{
    "_id" : ObjectId("4793765242f9d1337be3d539"),
    "tokens" : [ 
        "apple", 
        "pineapple"
    ],
    "area" : "Aviation",
    "title" : "Planes",
    "description" : "Here is a description."
}

@route('/search')
def search():
    """
    Query courses database for matches in tokens field.    
    """
    # get the query
    query  = request.GET.q
    # define the database
    dbname = 'courses'
    db = connection[dbname]
    # define the collection
    collection = db.courses
    # make the query
    matches = collection.find({"tokens":query})
    # send back results
    results = {}
    results['matches'] = matches
    response.content_type = 'application/json'
    return dumps(results)