I have two functions to get an array from monga using aggregation. The functions are completely the same, except for one pipeline - "match ({startTime: {$ gte: start}})". How can I leave one function and add a "math" only by the presence of the "start" variable, which is a date filter?
let groupedByUserSessions
if (lastDay) {
const start = getDateFromString(lastDay);
groupedByUserSessions = await getValuesByDate(start)
} else {
groupedByUserSessions = await getAllValues();
}
The functions are completely the same,
function getValuesByDate(start) {
return Sessions.aggregate()
.match({ startTime: { $gte: start } })
.group({
_id: { departament: "$departament", userAdName: "$userAdName" },
cleanTime: { $sum: { $subtract: ["$commonTime", "$idlingTime"] } }
})
.group({
_id: { departament: "$_id.departament"},
users: { $push: {value: '$cleanTime', name: '$_id.userAdName'} },
commonCleanTime: { $sum: "$cleanTime" }
})
.project({
departament: '$_id.departament',
users: '$users',
commonCleanTime: '$commonCleanTime',
performance: { $divide: [ "$commonCleanTime", { $size: "$users" }] }
});
}
You can break the pipeline into a "head" and a "tail" and construct the head differently when the start argument is given:
function getValuesByDate(start) {
let agg = Sessions.aggregate();
if (start) {
agg = agg.match({ startTime: { $gte: start } });
}
return agg
.group({
_id: { departament: '$departament', userAdName: '$userAdName' },
cleanTime: { $sum: { $subtract: ['$commonTime', '$idlingTime'] } },
})
.group({
_id: { departament: '$_id.departament' },
users: { $push: { value: '$cleanTime', name: '$_id.userAdName' } },
commonCleanTime: { $sum: '$cleanTime' },
})
.project({
departament: '$_id.departament',
users: '$users',
commonCleanTime: '$commonCleanTime',
performance: { $divide: ['$commonCleanTime', { $size: '$users' }] },
});
}