Related
I want to select the progress of changing the number of documents for each day of the current week.
Users collection (very schematically): { _id, username (str), social (obj, default: null), createdAt (int timestamp) }
I need to select this data:
// Count of the new documents per each day. Example of the data I need:
{
all: { // Social field is null
timeline: [Monday: 1, Tuesday: 0, Wednesday: 4, Thursday: 26, Friday: 24, Saturday: 30, Sunday: 47]
},
social: { // Social field is not null
timeline: [Monday: 0, Tuesday: 0, Wednesday: 2, Thursday: 8, Friday: 5, Saturday: 16, Sunday: 9]
}
}
Better way will be if this was aggregator.
Here is my not optimized code:
let obj = { all: { timeline: [] }, social: { timeline: [] } }
const mondayStartTime = getMonday(new Date()).getTime();
const weekDaysStartTime = getWeekDaysStartTime(mondayStartTime);
const this_week_registered = await (
await users_collection.find({ createdAt: { $gte: mondayStartTime } })
).toArray();
for (let i = 0; i < weekDaysStartTime.length; i++) {
obj.all.timeline.push(
this_week_registered.filter((obj) =>
obj.createdAt >= weekDaysStartTime[i] && weekDaysStartTime[i + 1]
? obj.createdAt < weekDaysStartTime[i + 1]
: true,
).length,
);
obj.social.timeline.push(
this_week_registered.filter((obj) =>
obj.social && obj.createdAt >= weekDaysStartTime[i] && weekDaysStartTime[i + 1]
? obj.createdAt < weekDaysStartTime[i + 1]
: true,
).length,
);
}
I need to make this in one query.
I have this aggregate:
const dpi = (imgSize.height * imgSize.width) / (printDpi * printDpi);
let printSizes = await printSizeModel
.aggregate([
{
$project: {
id: 1,
width: 1,
height: 1,
price: 1,
shippingWidth: 1,
shippingHeight: 1,
shippingLength: 1,
shippingWeight: 1,
framePrice: 1,
hasFrame: 1,
total: { $multiply: ['$width', '$height'] },
},
},
{ $match: { total: { $lt: dpi } } },
])
.exec();
Width and height are both numbers and DPi is number as well (DPI is float and width and height are int)
I am using mongoos and Nodejs. This aggregate sometimes returns correct result and sometimes returns null. Based on my understanding this should be correct, but I might be missing something in here
After using Math.ceil to convert the number to Int the issue went away, so I can say that the issue was the float number:
const dpi = Math.ceil((imgSize.height * imgSize.width) / (printDpi * printDpi));
let printSizes = await printSizeModel
.aggregate([
{
$project: {
id: 1,
width: 1,
height: 1,
price: 1,
shippingWidth: 1,
shippingHeight: 1,
shippingLength: 1,
shippingWeight: 1,
framePrice: 1,
hasFrame: 1,
total: { $multiply: ['$width', '$height'] },
},
},
{ $match: { total: { $lt: dpi } } },
])
.exec();
Hiii, some body know how i can write Uint16Array in kepserver i got some error:
ConstantStatusCode {
_value: 2147483648,
_description: 'The value is bad but no specific reason is known.',
_name: 'Bad' } ]
i'm try this:
var valor = new Uint16Array([ 2, 23, 23, 12, 24, 3, 25, 3, 26, 3, 27, 3, 28, 1, 43690, 1, 1261, 0, 0, 0, 0, 0, 0, 0, 65535, 11 ])
nodeToWrite[0] = {
nodeId: resolveNodeId("ns=2;s=" + endereco[0].ADDRESS),
attributeId: opcua.AttributeIds.Value,
value: /new DataValue(/{ value: {/ Variant /
dataType: 5,
arrayType: 1,
value: valor,
}
}
}
const {AttributeIds, OPCUAClient, DataType, VariantArrayType} = require("node-opcua");
const endpointUrl = "opc.tcp://localhost:48010";
(async () => {
const client = OPCUAClient.create({ endpoint_must_exist: false});
await client.withSessionAsync(endpointUrl, async (session) => {
const arrayOfvalues = new Uint16Array([ 2, 23, 23, 12, 24, 3, 25, 3, 26, 3, 27, 3, 28, 1, 43690, 1, 1261, 0, 0, 0, 0, 0, 0, 0, 65535, 11 ]);
const nodeToWrite = {
nodeId: "ns=2;s=Demo.Static.Arrays.UInt16",
attributeId: AttributeIds.Value,
value: {
value: {
dataType: DataType.UInt16,
arrayType: VariantArrayType.Array,
value: arrayOfvalues,
}
}
}
const statusCode = await session.write(nodeToWrite);
console.log("write statusCode = ",statusCode.toString());
});
})();
As demonstrated above, writing a Array of Uint16 is ok when addressing node ns=2;s=Demo.Static.Arrays.UInt16 of UAServerCPP from Unified Automation.
I would contact Kepware for support.
I'm trying this simple MapReduce operation:
function map() {
var gameDay = Math.floor((this.matchCreation - 1427846400000) / 86400000) + 1; // day of april 2015 when the game was played
this.teams.forEach (function (team){
**team.bans.forEach(function (ban){** // says bans is undefined
var value ={
banned : 1,
firstBanned: ( ((ban.pickTurn == 1) || (ban.pickTurn == 2))? 1 : 0 )
}
emit({championId: ban.championId,
day: Number(gameDay)}, value);
emit({championId: ban.championId,
day: "all"}, value);
});
});
}
function reduce(key, values) {
var a = values[0];
for(var i = 1 ; i<values.length ; i++){
var b = values[i]; // will merge 'b' into 'a'
a.banned += (b.banned? b.banned : 0);
a.firstBanned += (b.firstBanned? b.firstBanned : 0);
for (var attrname in b){
if(attrname != "banned" && attrname != "firstBanned")
a[attrname] = b[attrname];
}
}
return a;
}
matchesCollection.mapReduce(map, reduce, {
out: { reduce: "mapReduceResults" }
}, function (err, data){
if(err)
return callback (err);
callback (null, "OK");
});
It used to work before, but just when I tried to deploy the app after testing for a while, it seems to fail in this line: team.bans.forEach(function (ban){, says team.bans is undefined, although every one of the documents has a "teams" array and a "bans" array inside of each object in it, I even double checked it by querying the database and there is no document in which those fields dont exist.
So weird. The reduce function is a bit more complex but it seems to work alright, yet the map one (unlike Reduce, its supposed to be called just once per original document, right?) throws this unexplainable error. Could anyone give me some insight?
Sample input:
{
"_id": {
"$oid": "5531a63f2a3f135c11ed14a8"
},
"matchId": 1778704162,
"region": "NA",
"platformId": "NA1",
"matchMode": "CLASSIC",
"matchType": "MATCHED_GAME",
"matchCreation": 1427864425511,
"matchDuration": 1431,
"queueType": "URF_5x5",
"mapId": 11,
"season": "SEASON2015",
"matchVersion": "5.6.0.194",
"participants": [
{
"teamId": 100,
"spell1Id": 12,
"spell2Id": 4,
"championId": 81,
"highestAchievedSeasonTier": "SILVER",
"timeline": [],
"masteries": [],
"stats": {
"winner": false,
"champLevel": 19,
"item0": 1037,
"item1": 3078,
"item2": 3117,
"item3": 3035,
"item4": 3072,
"item5": 1038,
"item6": 3340,
"kills": 7,
"doubleKills": 1,
"tripleKills": 0,
"quadraKills": 0,
"pentaKills": 0,
"unrealKills": 0,
"largestKillingSpree": 3,
"deaths": 15,
"assists": 9,
"totalDamageDealt": 103191,
"totalDamageDealtToChampions": 22148,
"totalDamageTaken": 32924,
"largestCriticalStrike": 669,
"totalHeal": 2263,
"minionsKilled": 97,
"neutralMinionsKilled": 1,
"neutralMinionsKilledTeamJungle": 1,
"neutralMinionsKilledEnemyJungle": 0,
"goldEarned": 13923,
"goldSpent": 13273,
"combatPlayerScore": 0,
"objectivePlayerScore": 0,
"totalPlayerScore": 0,
"totalScoreRank": 0,
"magicDamageDealtToChampions": 6082,
"physicalDamageDealtToChampions": 15803,
"trueDamageDealtToChampions": 263,
"visionWardsBoughtInGame": 0,
"sightWardsBoughtInGame": 0,
"magicDamageDealt": 45997,
"physicalDamageDealt": 56651,
"trueDamageDealt": 543,
"magicDamageTaken": 25249,
"physicalDamageTaken": 7490,
"trueDamageTaken": 184,
"firstBloodKill": false,
"firstBloodAssist": false,
"firstTowerKill": false,
"firstTowerAssist": false,
"firstInhibitorKill": false,
"firstInhibitorAssist": false,
"inhibitorKills": 0,
"towerKills": 4,
"wardsPlaced": 2,
"wardsKilled": 0,
"largestMultiKill": 2,
"killingSprees": 1,
"totalUnitsHealed": 1,
"totalTimeCrowdControlDealt": 98
},
"participantId": 1,
"runes": []
},
... (9 more like that)
],
"participantIdentities": [],
"teams": [
{
"teamId": 100,
"winner": false,
"firstBlood": true,
"firstTower": false,
"firstInhibitor": true,
"firstBaron": false,
"firstDragon": true,
"towerKills": 6,
"inhibitorKills": 2,
"baronKills": 0,
"dragonKills": 3,
"vilemawKills": 0,
"dominionVictoryScore": 0,
"bans": [
{
"championId": 120,
"pickTurn": 1
},
{
"championId": 37,
"pickTurn": 3
},
{
"championId": 13,
"pickTurn": 5
}
]
},
{
"teamId": 200,
"winner": true,
"firstBlood": false,
"firstTower": true,
"firstInhibitor": false,
"firstBaron": false,
"firstDragon": false,
"towerKills": 11,
"inhibitorKills": 4,
"baronKills": 0,
"dragonKills": 0,
"vilemawKills": 0,
"dominionVictoryScore": 0,
"bans": [
{
"championId": 28,
"pickTurn": 2
},
{
"championId": 38,
"pickTurn": 4
},
{
"championId": 63,
"pickTurn": 6
}
]
}
]
}
Expected output:
{
_id: { championId: Number, day: Number }
value: { banned: Number, firstBanned: Number }
}
After that, its supposed to merge with the results of a previous MapReduce operation, copying all the fields of documents with the same key (in the reduce function), but thats irrelevant now since the error happens before...
Is there a way to color specific bars? If a bar is less than the line, color it red.
Code: https://github.com/tvinci/webs/blob/gh-pages/lineplusbar.html
Example: http://tvinci.github.io/webs/lineplusbar.html
I'd like to do something like this but the value for i is not the y value that I send in. It has been modified:
d3.selectAll("rect.nv-bar")
.style("fill", function(d, i){
return i > 50 ? "red":"blue";
});
Data:
var overview_data=[
{
"key" : "Achieved",
"bar": true,
"values" : [ [ "1x" , 30] , [ "2x" , 70] , [ "3x" , 200] ]
},
{
"key" : "Required",
"values" : [ [ "1x" , 50] , [ "2x" , 100] , [ "3x" , 150] ]
}
].map(function(series) {
series.values = series.values.map(function(d) { return {x: d[0], y: d[1] } });
return series;
});
You can do:
d3.selectAll("rect.nv-bar")
.style("fill", function(d, i){
return d.y > 50 ? "red":"blue";
});
The upward answer is right but it won't work when you change the data dynamically in my-case.
You can use the following configuration to get different bar colors based on the value.
var data=[ {
"key": "data",
"values": [
{
"x": 1,
"y": 20
},
{
"x": 2,
"y": 15
},
{
"x": 3,
"y": 85
},
{
"x": 4,
"y": 66
},}];
nv.addGraph(function() {
var chart = nv.models.multiBarChart()
.barColor(getColorArrayForGraph())
.transitionDuration(350)
.reduceXTicks(true)
.rotateLabels(0)
.showControls(true)
.groupSpacing(0.1);
chart.xAxis
.tickFormat(d3.format(',f'));
chart.yAxis
.tickFormat(d3.format(',.1f'));
d3.select('#chart1 svg')
.datum(data)
.call(chart);
nv.utils.windowResize(chart.update);
return chart;
}
// GET color array based on the value
function getColorArrayForGraph() {
let colorArray: any = [];
for (let item of data) {
if (item.y > 50) {
colorArray.push('#FF0000');
} else {
colorArray.push('#004c00');
}
}
return colorArray;
};
So here, barcolor(["#FF0000","#00FFCC",....]) function takes arguments as array of colors.
This way you can get the array of colors and use it into barcolor().