What I want to achieve is finding a specific document on that current month based on the provided date. The date is stored as a string, in order for me to compare the date I need to convert the date first. However I have trouble on converting the datestring in a nested array of objects.
My collections:
{
sections: [{
fields: [{
name: 'Date',
value: '2020-11-30T15:59:59.999Z' // this is string
},
{
name: 'Title',
value: 'My book'
},
{
name: 'Author',
value: 'Henry'
}
]
]
}
}
What I have tried:
1)
const existingReport = await Report.find({
$expr: {
$gte: [
{
$dateFromString: {
dateString: "$sections.field[0].value",
},
},
moment(payload.forPeriod).startOf("month").toDate(),
],
$lt: [
{
$dateFromString: {
dateString: "$sections.field[0].value",
},
},
moment(payload.forPeriod).endOf("month").toDate(),
],
},
});
const existingReport1 = await Report.aggregate([
{
$addFields: {
formattedData: {
$cond: {
if: {
$eq: ["$sections.field.value", "Date"],
},
then: {
$dateFromString: {
dateString: "$sections.field.value",
},
},
else: "$sections.field.value",
},
},
},
},
]);
You can simply do a $toDate with the help of 2 $reduce to iterate the sections and fields array.
db.collection.aggregate([
{
"$match": {
$expr: {
$eq: [
true,
{
"$reduce": {
"input": "$sections",
"initialValue": false,
"in": {
"$reduce": {
"input": "$$this.fields",
"initialValue": false,
"in": {
$or: [
"$$value",
{
$and: [
{
$gte: [
{
"$toDate": "$$this.value"
},
new Date("2020-11-01")
]
},
{
$lte: [
{
"$toDate": "$$this.value"
},
new Date("2020-11-30")
]
}
]
}
]
}
}
}
}
}
]
}
}
}
])
Here is the Mongo playground for your reference.