Mongo $filter with date comparison - mongodb

Question

I have the following aggregation which has a date comparison where I only want to grab documents that have the $$item.date less than the current time.
[
{ $match : { "_id" : "57b4c5f0291ebb13110b888e" } },
{ $project : {
"fulfillments" : {
$filter : {
"input" : "$fulfillments",
"as" : "item",
"cond" : { "$gte" : ["$$item.date","new Date()"]}
}
}
}
},
...
...
]
The important part that I have a question about above is the following:
"cond" : { "$gte" : ["$$item.date","new Date()"]}
This doesn't seem to be working as I can change the new Date() to 1 or 0 or pretty much any value and it still returns all documents. I need it to only return documents that have the date greater than or equal to the current date.
For example, given the following document
{
"_id": "57b4c5f0291ebb13110b888e",
"fulfillments": [
{
"_id": "582deb33bb117300010a2ae5",
"date": new Date("2016-11-23T17:00:00-0700"),
},
{
"_id": "582deb33bdf17300010a2ae5",
"date": new Date("2017-11-23T17:00:00-0700"),
}
}
Only the following fulfillment should be returned because it is 2017-11-23
{
"_id": "582deb33bdf17300010a2ae5",
"date": new Date("2017-11-23T17:00:00-0700"),
}
Update
There is question if I am giving an accurate document strucutre, so I included a screenshot below to validate this.

Answer 1

If you just want the current time on the machine just remove the " from the query, see below for my example
> db.test.find().pretty()
{
"_id" : "57b4c5f0291ebb13110b888e",
"fulfillments" : [
{
"_id" : "582deb33bb117300010a2ae5",
"date" : ISODate("2016-11-24T00:00:00Z")
},
{
"_id" : "582deb33bdf17300010a2ae5",
"date" : ISODate("2017-11-24T00:00:00Z")
}
]
}
>
> db.test.aggregate([
... { $match : { "_id" : "57b4c5f0291ebb13110b888e" } },
... { $project : {
... "fulfillments" : {
... $filter : {
... "input" : "$fulfillments",
... "as" : "item",
... "cond" : { "$gte" : ["$$item.date",new Date()]}
... }
... }
... }
... }
... ]).pretty()
{
"_id" : "57b4c5f0291ebb13110b888e",
"fulfillments" : [
{
"_id" : "582deb33bdf17300010a2ae5",
"date" : ISODate("2017-11-24T00:00:00Z")
}
]
}
>