Aggregation query - node.js

Node js using mongoose as ORM. I have set of documents like below
I want to calculate the average time for createdAt in ISO String(format) field in duration of hours on
grouping the category field. I have tried many ways to use aggregate but couldn't get the result.
[{
"_id": {
"$oid": "62dfc2cf25735e8b1b475ff1"
},
"numLikes": 0,
"numViews": 0,
"numShares": 0,
"hasUserLiked": false,
"title": "sample-broadcast",
"description": "broadcast-dewscription",
"projectId": {
"$oid": "62d903a5dade1714382b27af"
},
"content": [
{
"_id": {
"$oid": "62dfc2cf25735ee18d475ff2"
},
"downloadLink": "https://builder-broadcast-media.s3.ap-south-1.amazonaws.com/builder-broadcast-media/51daead4-1134-4921-a544-fea845f03d1c/uploadbroadcast/1658831544",
"label": "lance-anderson-QdAAasrZhdk-unsplash (1).jpg",
"contentType": "jpeg"
}
],
"delivery": "scheduleBroadcast",
"category": "GENERAL_UPDATES",
"groupId": "51daead4-1134-4921-a544-fea845f03d1c",
"author": {
"userId": "83314517-9326-430f-9c4e-8fedb050e6b0",
"profilePic": "https://builder-broadcast-media.s3.ap-south-1.amazonaws.com/builder-broadcast-media/4f670832-dfd7-43ee-a6ad-e2f43f48df6a/uploadprofilepic/1658239806",
"name": "Biswajit Rout"
},
"projectLogo": "https://builder-broadcast-media.s3.ap-south-1.amazonaws.com/builder-broadcast-media/4f670832-dfd7-43ee-a6ad-e2f43f48df6a/uploadcompanylogo%2A/1658239764",
"createdAt": {
"$date": {
"$numberLong": "1658831567577"
}
},
"updatedAt": {
"$date": {
"$numberLong": "1658831567577"
}
},
"__v": 0
},{
"_id": {
"$oid": "62dfebae25735e015f476dfb"
},
"numLikes": 0,
"numViews": 0,
"numShares": 0,
"hasUserLiked": false,
"title": "testing-broadcast",
"description": "testing-description",
"projectId": {
"$oid": "62d903a5dade1714382b27af"
},
"content": [
{
"_id": {
"$oid": "62dfebae25735e291c476dfc"
},
"downloadLink": "https://builder-broadcast-media.s3.ap-south-1.amazonaws.com/builder-broadcast-media/51daead4-1134-4921-a544-fea845f03d1c/projectimages0/1658842001",
"label": "lance-anderson-QdAAasrZhdk-unsplash (1).jpg",
"contentType": "jpeg"
},
{
"_id": {
"$oid": "62dfebae25735e0321476dfd"
},
"downloadLink": "https://builder-broadcast-media.s3.ap-south-1.amazonaws.com/builder-broadcast-media/51daead4-1134-4921-a544-fea845f03d1c/projectimages1/1658842024",
"label": "Get_Started_With_Smallpdf.pdf",
"contentType": "pdf"
}
],
"delivery": "immediate",
"link": "http://localhost:3000",
"category": "GENERAL_UPDATES",
"groupId": "51daead4-1134-4921-a544-fea845f03d1c",
"author": {
"userId": "83314517-9326-430f-9c4e-8fedb050e6b0",
"profilePic": "https://builder-broadcast-media.s3.ap-south-1.amazonaws.com/builder-broadcast-media/4f670832-dfd7-43ee-a6ad-e2f43f48df6a/uploadprofilepic/1658239806",
"name": "Biswajit Rout"
},
"projectLogo": "https://builder-broadcast-media.s3.ap-south-1.amazonaws.com/builder-broadcast-media/4f670832-dfd7-43ee-a6ad-e2f43f48df6a/uploadcompanylogo%2A/1658239764",
"createdAt": {
"$date": {
"$numberLong": "1658842030827"
}
},
"updatedAt": {
"$date": {
"$numberLong": "1658842030827"
}
},
"__v": 0
},{
"_id": {
"$oid": "62e144677fc76b0373f40152"
},
"numLikes": 0,
"numViews": 0,
"numShares": 0,
"hasUserLiked": false,
"title": "Broker Offer-1",
"description": "50% off on the membership for early birds. \n\nOffer Applied to first fifty users only",
"projectId": {
"$oid": "62d903a5dade1714382b27af"
},
"content": [
{
"_id": {
"$oid": "62e144677fc76b2b79f40153"
},
"downloadLink": "https://builder-broadcast-media.s3.ap-south-1.amazonaws.com/builder-broadcast-media/51daead4-1134-4921-a544-fea845f03d1c/projectimages0/1658930275",
"label": "50-off-PNG-Picture.png",
"contentType": "png"
}
],
"delivery": "immediate",
"link": "",
"category": "OFFER_BROKERS",
"groupId": "51daead4-1134-4921-a544-fea845f03d1c",
"author": {
"userId": "83314517-9326-430f-9c4e-8fedb050e6b0",
"profilePic": "https://builder-broadcast-media.s3.ap-south-1.amazonaws.com/builder-broadcast-media/4f670832-dfd7-43ee-a6ad-e2f43f48df6a/uploadprofilepic/1658239806",
"name": "Biswajit Rout"
},
"projectLogo": "https://builder-broadcast-media.s3.ap-south-1.amazonaws.com/builder-broadcast-media/4f670832-dfd7-43ee-a6ad-e2f43f48df6a/uploadcompanylogo%2A/1658239764",
"createdAt": {
"$date": {
"$numberLong": "1658930279871"
}
},
"updatedAt": {
"$date": {
"$numberLong": "1658930279871"
}
},
"__v": 0
}]
My expected result should be like this
{
OFFER_BROKERS: 5 <hrs>,
GENERAL_UPDATES : 4 <hrs>
}


Do you want to convert milliseconds to real time and give it to orm

Related

How to set up aggregation pipeline for specific use case in MongoDB

`I have two collections in MongoDB. One is users and the other is companies. I need to be able to populate the users.endpoints with the endpoints from companies that match ObjectID's which are in the user.endPoints property. It is a bit hard for me to wrap my head around considering there are two steps.
This is the companies collection.
{
"_id": {
"$oid": "63ed39162bfc2cf8065b76cf"
{
"_id": {
"$oid": "63ed39162bfc2cf8065b76cf"
},
"companyName": "Sowegatel",
"amount": 0,
"signalwireSid": "id",
"numbers": [
{
"number": "+12068133580",
"_id": {
"$oid": "63ed39c72bfc2cf8065b76f0"
},
"createdAt": {
"$date": {
"$numberLong": "1676491207931"
}
},
"updatedAt": {
"$date": {
"$numberLong": "1676491207931"
}
}
}
],
"endPoints": [
{
"userName": "4009",
"_id": "fb1d0ef9-c713-400e-a3c9-cbc6823aaf57"
},
{
"userName": "4019",
"_id": "506e710d-14a6-4345-bc89-8488af4cabe4"
},
{
"userName": "4020",
"_id": "c80bd1ab-ca8d-4649-9d35-56d64ef8fab5",
"type": "sip_endpoint"
}
],
"__v": 6
} },
"companyName": "Sowegatel",
"amount": 0,
"signalwireSid": "id",
"numbers": [
{
"number": "+12068133580",
"_id": {
"$oid": "63ed39c72bfc2cf8065b76f0"
},
"createdAt": {
"$date": {
"$numberLong": "1676491207931"
}
},
"updatedAt": {
"$date": {
"$numberLong": "1676491207931"
}
}
}
],
"endPoints": [
{
"userName": "4009",
"_id": "fb1d0ef9-c713-400e-a3c9-cbc6823aaf57"
},
{
"userName": "4019",
"_id": "506e710d-14a6-4345-bc89-8488af4cabe4"
},
{
"userName": "4020",
"_id": "c80bd1ab-ca8d-4649-9d35-56d64ef8fab5",
"type": "sip_endpoint"
}
],
"__v": 6
}
This is the users collection.
{
"_id": {
"$oid": "63ed39162bfc2cf8065b76d2"
},
"firstName": "mark",
"lastName": "thomas",
"email": "mt#st.com",
"password": "",
"companyId": {
"$oid": "63ed39162bfc2cf8065b76cf"
},
"active": true,
"role": "companyAdmin",
"tokens": [],
"__v": 2,
"endpoints": [
// I need to populate to endpoints here!!!! //
"c80bd1ab-ca8d-4649-9d35-56d64ef8fab5"
]
}
I can do a single step aggregation, but this is a little complicated for me.`

Typescript to update Mongodb

Got thrown into a Typescript/Mongodb project and am having some trouble getting started. I've been asked to convert data from
{
"_id": {
"$oid": "636c0a8dce0eb36dc13e63b3"
},
"status": "active",
"companies": [
{
"$oid": "5f64bd6785fad3e83771bb4f"
}
],
"whitelists": [],
"taxonomies": [
{
"$oid": "6080538565c2036dbeadcdfa"
},
{
"$oid": "6080538765c2036dbeadce07"
},
{
"$oid": "6080538d65c2036dbeadce44"
},
{
"$oid": "6080538d65c2036dbeadce46"
}
],
"itemType": "unit",
"attributes": [
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db4"
},
"type": "ingredients:statement",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "ingredients:statement#0",
"value": {
"footnotes": [],
"statement": "ingredients: water, butter, lemon juice, wheat flour, egg yolks, sea salt, xanthan gum, turmeric, carotenes."
}
},
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db5"
},
"type": "allergens",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "allergens#0",
"value": {
"type": "contains",
"statement": "contains something"
}
},
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db5"
},
"type": "allergens",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "allergens#0",
"value": {
"type": "something",
"statement": "may contain something"
}
},
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db6"
},
"type": "variants:flavors:raw",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "variants:flavors:raw#0",
"value": [
"hollandaise sauce"
]
}
],
"dataUpdatedDate": {
"$date": {
"$numberLong": "1668025007811"
}
}
}
To something like this, merging objects with the same "type" "b"
{
"_id": {
"$oid": "636c0a8dce0eb36dc13e63b3"
},
"status": "active",
"companies": [
{
"$oid": "5f64bd6785fad3e83771bb4f"
}
],
"whitelists": [],
"taxonomies": [
{
"$oid": "6080538565c2036dbeadcdfa"
},
{
"$oid": "6080538765c2036dbeadce07"
},
{
"$oid": "6080538d65c2036dbeadce44"
},
{
"$oid": "6080538d65c2036dbeadce46"
}
],
"itemType": "unit",
"attributes": [
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db4"
},
"type": "ingredients:statement",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "ingredients:statement#0",
"value": {
"footnotes": [],
"statement": "ingredients: water, butter, lemon juice, wheat flour, egg yolks, sea salt, xanthan gum, turmeric, carotenes."
}
},
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db5"
},
"type": "allergens",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "allergens#0",
"value": [{
"type": "contains",
"statement": "contains something"
},
{
"type": "something",
"statement": "may contain something"
}
]},
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db6"
},
"type": "variants:flavors:raw",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "variants:flavors:raw#0",
"value": [
"hollandaise sauce"
]
}
],
"dataUpdatedDate": {
"$date": {
"$numberLong": "1668025007811"
}
}
}
My background is php/mysql. I understand the basics here just can't put it together. Any help would be greatly appreciated.
Thanks
I have the basics of the typescript started to grab all the appropriate documents. I don't know how to go about combining some of the data and updating it back to mongo
Here is the basic code I am starting with
makeScript({
module,
db: true,
init: async _argv => {
await Pv2.find({
attributes: {
$elemMatch: {
type: 'allergens'
},
},
})
.limit(10)
.cursor()
.eachAsync(async (oldPv2s: Pv2Doc | Pv2Doc[]) => {
// not sure what goes here
});
}
});

Why don't store properly on nested object MongoDB

I need to update a document with an object, but my approach looks like don't apply the changes on DB, can someone explain me what I'm doing wrong, please?
let dishes = await this.dishesModel.find({});
let dishesPromise = dishes.map((dish, i) => {
dish.ingredients.forEach((item) => {
if (item?.item) {
if (item['item']['unit']['_id'].toString() === payload._id) {
item['item']['unit'] = unit;
}
}
});
return dish.save();
});
await Promise.all(dishesPromise)
In the above code I get unit previously and the objective is to use this unit in: item['item']['unit']
A dish document looks like:
{
"_id": { "$oid": "62cc00bfad995c0e7d8bbb7d" },
"name": "Bologne pasta",
"price": 6.99,
"ingredients": [
{
"quantity": 3,
"item": {
"_id": { "$oid": "62cbe92821464145f0eb280e" },
"name": "Cow beef",
"code": "meat-01",
"price": 9.99,
"value": 100,
"internal": true,
"categories": [
{
"_id": { "$oid": "62cbe83221464145f0eb27ea" },
"name": "Meat",
"disabled": false
}
],
"unit": {
"name": "GRAMASO 2",
"abbr": "gr.",
"_id": { "$oid": "62befe5ff6f95cf46a4cfe5b" }
},
"disabled": false,
"__v": 0,
"translation": { "es": { "name": "Carne de vaca" } }
}
},
{
"quantity": 2,
"item": {
"_id": { "$oid": "62cbea3121464145f0eb283a" },
"name": "Tomato",
"code": "vegetable-02",
"price": 1.5,
"value": 20,
"internal": true,
"categories": [
{
"_id": { "$oid": "62cbe82921464145f0eb27e6" },
"name": "Vegetables",
"disabled": false
}
],
"unit": {
"name": "GRAMASO 2",
"abbr": "gr.",
"_id": { "$oid": "62befe5ff6f95cf46a4cfe5b" }
},
"disabled": false,
"__v": 0,
"translation": { "es": { "name": "Tomate" } }
}
},
{
"quantity": 1,
"item": {
"_id": { "$oid": "62cbee5621464145f0eb2865" },
"name": "Spagetti",
"code": "pasta-01",
"price": 1.5,
"value": 100,
"internal": true,
"categories": [
{
"_id": { "$oid": "62cbee3e21464145f0eb285f" },
"name": "Pasta",
"disabled": false
}
],
"unit": {
"name": "GRAMASO 2",
"abbr": "gr.",
"_id": { "$oid": "62befe5ff6f95cf46a4cfe5b" }
},
"disabled": false,
"__v": 0,
"translation": { "es": { "name": "Espaguetti" } }
}
}
],
"categories": [
{
"_id": { "$oid": "62cbe84721464145f0eb27f6" },
"name": "Italian",
"disabled": false,
"translation": { "en": { "name": "Italiana" } }
}
],
"__v": 0,
"translation": { "es": { "name": "Pasta con salsa boloñesa" } }
}
At last, the changes are not reflecting on DB, but I don't figure out what's wrong.

mongoose aggregate time diffrence

my collections look this
{
"_id": { "$oid": "61e7ed06dd937668b3afa22f" },
"time_duration": {
"count": 2,
"timeArr": [
{
"_id": { "$oid": "61e7edcfdd937668b3afa238" },
"start_time": { "$date": "2022-01-18T07:50:34.000Z" },
"end_time": { "$date": "2022-01-18T09:50:34.000Z" }
},
{
"_id": { "$oid": "61e7ee1faa77f37ceffcec4d" },
"start_time": { "$date": "2022-01-18T07:50:34.000Z" },
"end_time": { "$date": "2022-01-18T09:50:34.000Z" }
},
{
"_id": { "$oid": "61e7ee39aa77f37ceffcec5a" },
"start_time": { "$date": "2022-01-18T07:50:34.000Z" },
"end_time": { "$date": "2022-01-18T09:50:34.000Z" }
}
]
},
"parent_user_id": { "$oid": "61e6643548a14c31cee78ce6" },
"project_id": { "$oid": "61e67053174f50418f9a71b5" },
"name_activity": "",
"timer_status": "stopped",
"client_id": { "$oid": "6192363c027390b0e4d5b15c" },
"createdAt": { "$date": "2022-01-19T10:50:46.985Z" },
"updatedAt": { "$date": "2022-01-19T10:55:53.832Z" },
"__v": 0
}
i want to calculate time diffrence between start_time and end_time
i have tried this code so far
let ar = await ActivityRecord.aggregate([
{
$project: {
duration: {
$divide: [{ $subtract: ["$end_time", "$start_time"] }, 3600000],
},
},
},
]);

Joining only matching elements

I want to join more than two collections in MongoDB . Is it possible to join?
I have 2 collections and I want to join them based by their ids
news collection
{
"lang": "ru",
"news": [{
"title": "title",
"content": "desc",
"image": "path",
"categoryId": {
"$oid": "6171499e0ba3d75082823c9a"
},
"createdAt": {
"$date": "2021-10-21T12:30:33.215Z"
},
"_id": {
"$oid": "61715d7990905adefcf314d1"
}
}]
}
and I have got newscategory collection like that
[
{
"lang": "ru",
"categories": [{
"name": "sdfsdsdcsdf",
"_id": {
"$oid": "6171499e0ba3d75082823c9a"
}
}]
},
{
"lang": "en",
"categories": [{
"name": "ooo",
"_id": {
"$oid": "61712980f8ee795c6a569dcb"
}
}, {
"name": "yuy",
"_id": {
"$oid": "61712980f8ee795c6a569dcc"
}
}, {
"name": "rtyrty",
"_id": {
"$oid": "61712980f8ee795c6a569dcd"
}
}]
}
]
Expected Output:
[
{
"_id": "61715d7990905adefcf314d0",
"lang": "ru",
"news": [
{
"title": "sdf",
"content": "sdf",
"image": "asdas",
"categoryId": "6171499e0ba3d75082823c9a",
"caregory": [
{
"name": "sdfsdsdcsdf",
"_id": "6171499e0ba3d75082823c9a"
},
]
"createdAt": "2021-10-21T12:30:33.215Z",
"_id": "61715d7990905adefcf314d1"
}
],
Match is based on both "category_id" and "categories._id".
How can I achieve result like that ?

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