MongoDB get estimate oplog per collection with profiler

oplog_estimate_per_collection.js

// https://docs.mongodb.com/manual/tutorial/manage-the-database-profiler/#enable-and-configure-database-profiling

(() => {
    
return db.system.profile.aggregate([
{ $match: { $or: [{op: {$in: ['update', 'insert', 'delete']}}, {'command.writeConcern': {$exists: true}}] } },
{  $group: {_id: {op : '$op', ns: '$ns', client: "$client"}, count: {$sum: 1}, start: {$min: "$ts"}, end: {$max: "$ts"} }  },
{ $match: { count: { $gt: 50}}},
{ $sort: {count: -1} }
]).map((requestStats) => {
    let stats = db.getCollection(requestStats._id.ns.split('.')[1]).stats();
    requestStats.queryPerHour = ( 3600000 / (requestStats.end - requestStats.start) )  * requestStats.count;
    requestStats.estimateOpLogPerHour = stats.avgObjSize * requestStats.queryPerHour;
    requestStats.estimateOpLogPerHourMB = requestStats.estimateOpLogPerHour / ( 1024 * 1024 );
    return requestStats;
})

//.reduce((acc,e) => e.estimateOpLogPerHourMB + acc, 0);

.sort((a,b) => b.estimateOpLogPerHourMB - a.estimateOpLogPerHourMB);

})();