How To Get Data With Missing Dates

Hi, I’m pretty new to mongodb aggregate. I’m trying to get the number of result of games that I have stores by the date the game result was declared, but I would like to be able to includes dates that have no result declared and have result be equal to 0 on those days. Since these dates technically don’t exist, I’ve been been struggle to do this. I was wondering if there was a way to add/create these dates in mongodb aggregate. as i want this result like if my first result stored in database on wednesday then i want result of array with this full week start from monday and end with sunday with dates and if result have on these dates then show result as show result 0 or something else i want data with dates with the bunch of weeks Below, I have included what my schema look like with some sample data i’m attaching a screenshot of display data that i want to display for ease to understand. Want data till current week end. I would really appreciate any help or guidance on how to solve this. Thank you!

var GameResult = new mongoose.Schema(
    {
        game_id: {
            type:mongoose.Schema.Types.ObjectId,
            ref:"Games",
            default:null
        },
        result_date: {
            type: String,
            default:""
        },
        open_decleare_date: {
            type: Date,
            default:null
        },
        close_decleare_date: {
            type: Date,
            default:null
        },
        open_number: {
            type: String,
            default:""
        },
        close_number: {
            type: String,
            default:""
        },
        open_decleare_status: {
            type: Number,
            default:0
        },
        close_decleare_status:{
            type:Number,
            default:0
        },
        open_result_token: {
            type: String,
            default:""
        },
        close_result_token: {
            type: String,
            default:""
        }
    },
    {
        timestamps:true
    }
);

Desired or Sample Data

[
  {
    _id: '',
    result_date: '11/04/2022',
    game_id:'jhbvjadbhvkajd',
    open_number:0,
    close_number:0,
  },
  {
    _id: '',
    result_date: '12/04/2022',
    game_id:'jhbvjadbhvkajd',
    open_number:0,
    close_number:0,
  },
  {
    _id: '',
    result_date: '13/04/2022',\
    game_id:'jhbvjadbhvkajd',
    open_number:0,
    close_number:0,
  },
  {
    _id: 'kjabbfckjadbhfjafbalsjbfhals',
    result_date: '14/04/2022',
    game_id:'jhbvjadbhvkajd',
    open_number:123,
    close_number:133,
  },
  {
    _id: 'kjabbfckjadbhfjafbalsjbfhals',
    result_date: '15/04/2022',
    game_id:'jhbvjadbhvkajd',
    open_number:232,
    close_number:544,
  },
  {
    _id: 'kjabbfckjadbhfjafbalsjbfhals',
    result_date: '16/04/2022',
    game_id:'jhbvjadbhvkajd',
    open_number:879,
    close_number:222,
  },
  {
    _id: 'kjabbfckjadbhfjafbalsjbfhals',
    result_date: '17/04/2022',
    game_id:'jhbvjadbhvkajd',
    open_number:0,
    close_number:0,
  },
]

See related threads.

https://www.mongodb.com/community/forums/t/aggregate-query-by-year-and-month-in-mongodb/136261/2?u=steevej