mongoDB group query not working - node.js

Question

So, I have the following query on my routes page:
const testeEa = atendimentos.aggregate([
{$group : {_id: "$id_atendente", Idcount:{$sum:1}}},
{$sort: {_id: 1}},
{ '$group': {
'_id': null,
'eatest': {
'$sum': {
'$cond' : [ { '$eq': ['$status', 'EA'] }, 1, 0]
}
},
//'eatest': {'$push': "$$ROOT"}
} }
]).exec();
What I want to do is: This Idcount is counting how many times id_atendente repeats. I need this to check out how many support calls each person answered.
After this is done, I need to check all the support calls with the 'EA' status.
I have 351 calls with the 'EA' status, and I would like to see who is with this status on the support call.
I guess that I'm missing something on the second $group, I just don't what it is.
This eatest is supposed to be the key that will be used on the view.
By the way, I managed to do a query where I can get the number of support calls per id, I need almost the same thing, the difference is that I only need the ones with the 'EA' status.
EDIT 1
const counts = atendimentos.aggregate([
{ '$group': {
'_id': null,
'fin': {
'$sum': {
'$cond': [ { '$eq': [ '$status', 'F' ] }, 1, 0 ]
}
},
'ea': {
'$sum': {
'$cond': [ { '$eq': [ '$status', 'EA' ] }, 1, 0 ]
}
}
} }
]).exec()
//Faz uma consulta no mongo e guarda o resultado
//na variável monthly
const monthly = atendimentos.aggregate([
{ '$group': {
'_id': {
'year': { '$year': '$date' },
'month': { '$month': '$date' }
},
'sum': { '$sum': 1 }
} },
{ '$group': {
'_id': null,
//Chave usada para renderizar os dados
'back': { '$push': '$$ROOT' }
} },
]).exec();
//Verificar quantas vezes um id_atendente se repete, contar e guardar o numero
const testeAt = atendimentos.aggregate([
{$group : {_id: "$id_atendente", Idcount:{$sum:1}}},
{$sort: {_id: 1}},
{ '$group': {
'_id': null,
//Chave usada para renderizar os dados
'test': {'$push': "$$ROOT"}
} },
]).exec();
const atendente = atendimentos.aggregate([
{ '$group' : {
'_id': "$id_atendente",
'Idcount': { '$sum': 1 }
} },
{ '$sort': { '_id': 1 } }
]).exec();
const testeEa = atendimentos.aggregate([
{ '$group': {
'_id': null,
'eatest': {
'$sum': {
'$cond' : [ { '$eq': ['$status', 'EA'] }, 1, 0]
}
}
} }
]).exec();
Promise.all([counts, monthly, testeAt, testeEa]).then(([counts, monthly, testeAt, testeEa]) => {
Notice that the atendente query and the testeAt are almost the same.
What I would like to do is use this testeEa variable to store the returned value of the queries that return the number of 'EA' status per id_atendente.
If I use try catch I can't do it I guess because the testeEa would be inside of it, and I wouldn't be ble to pass it to my array.
The eatest is returning the correct value by the way.
END OF EDIT
EDIT 2
An example of the data that I want, this is the query that it's working for checking number of calls/id.
{
"_id": 42,
"Idcount": 3
},
{
"_id": 43,
"Idcount": 155
},
{
"_id": 46,
"Idcount": 69
},
{
"_id": 47,
"Idcount": 16
},
{
"_id": 48,
"Idcount": 4
},
{
"_id": 49,
"Idcount": 21
},
{
"_id": 50,
"Idcount": 4
},
This is exactly the way that I want, but the difference is that I want only the ones with the 'EA' status.
Idcount would be the number of how many times an id with the 'EA' status appears.
END OF EDIT 2
Thanks in advance!

Answer 1

When executing a pipeline in the aggregation framework, MongoDB pipes operators into each other.
"Pipe" here takes the Linux meaning: the output of an operator becomes the input of the following operator. The result of each operator is a new collection of documents.
So when Mongo executes the above pipeline, the results from the first two steps
{ '$group' : { /* First pipeline step */
'_id': "$id_atendente",
'Idcount': { '$sum': 1 }
} },
{ '$sort': { '_id': 1 } } /* Second pipeline step */
will be an array of documents with the schema (for example):
[
{ _id: 'fuzz', IdCount: 2 },
{ _id: 'foo', IdCount: 9 },
{ _id: 'bar', IdCount: 4 },
....
]
Now when it executes the third pipeline
{ '$group': {
'_id': null,
'eatest': {
'$sum': {
'$cond' : [ { '$eq': ['$status', 'EA'] }, 1, 0]
}
}
} }
the documents from the previous pipeline are piped into this pipeline expecting documents with a field called status which does not exist hence
the results wont be correct.
You need to run multiple aggregate pipelines in parallel and this can only be achieved in a single query with $facet:
Using MongoDB 3.4.4 and above:
atendimentos.aggregate([
{ '$facet': {
'atendente': [
{ '$group' : {
'_id': "$id_atendente",
'Idcount': { '$sum': 1 }
} },
{ '$sort': { '_id': 1 } }
],
'eatest': [
{ '$group': {
'_id': null,
'eatest': {
'$sum': {
'$cond' : [ { '$eq': ['$status', 'EA'] }, 1, 0]
}
}
} }
]
} }
]).exec((err, result) => console.log(result));
Using MongoDB 3.2 and below:
(async () => {
try {
const atendente = await atendimentos.aggregate([
{ '$group' : {
'_id': "$id_atendente",
'Idcount': { '$sum': 1 }
} },
{ '$sort': { '_id': 1 } }
]).exec();
const eatest = await atendimentos.aggregate([
{ '$group': {
'_id': null,
'eatest': {
'$sum': {
'$cond' : [ { '$eq': ['$status', 'EA'] }, 1, 0]
}
}
} }
]).exec();
const data = { atendente, eatest };
console.log(JSON.stringify(data, null, 4));
} catch (err) {
console.error(err);
}
})();
or with Promise API
(() => {
const atendente = atendimentos.aggregate([
{ '$group' : {
'_id': "$id_atendente",
'Idcount': { '$sum': 1 }
} },
{ '$sort': { '_id': 1 } }
]).exec();
const eatest = atendimentos.aggregate([
{ '$group': {
'_id': null,
'eatest': {
'$sum': {
'$cond' : [ { '$eq': ['$status', 'EA'] }, 1, 0]
}
}
} }
]).exec();
Promise.all([atendente, eatest]).then(([ atendente, eatest ]) => {
const data = { atendente, eatest };
console.log(JSON.stringify(data, null, 4));
}).catch((err) => {
console.error(err);
});
})();