Ich bin mit Mongoose nicht vertraut, habe jedoch versucht, ihr Beispiel unten an Ihren Fall anzupassen. Beachten Sie, dass ich createdAt
geändert habe default
Eigenschaft von einem Wert zu einer Funktion und fügte ein zusätzliches Feld datestamp
hinzu zu Ihrem Schema:
var oneday = 24 * 60 * 60;
var schema = new Schema({
aid: { type: Number }
, name: { type: String }
, score: { type: Number }
// default: is a function and called every time; not a one-time value!
, createdAt: { type: Date, default: Date.now }
// For grouping by day; documents created on same day should have same value
, datestamp: { type: Number
, default: function () { return Math.floor(Date.now() / oneday); }
}
});
schema.statics.getLastWeek = function(name, fn) {
var oneweekago = Date.now() - (7 * oneday);
ret = this.collection.group({
// Group by this key. One document per unique datestamp is returned.
key: "datestamp"
// Seed document for each group in result array.
, initial: { "createdAt": 0 }
// Update seed document if more recent document found.
, reduce: function(doc, prev) {
if (doc.createdAt > prev.createdAt) {
prev.createdAt = doc.createdAt;
prev.score = doc.score;
// Add other fields, if desired:
prev.name = doc.name;
}
// Process only documents created within past seven days
, condition: { "createdAt" : {"$gt": oneweekago} }
}});
return ret.retval;
// Note ret, the result of group() has other useful fields like:
// total "count" of documents,
// number of unique "keys",
// and "ok" is false if a problem occurred during group()
);