Example JSON file:
[
{
"discordId": "9273927302020",
"characters": [
{
"name": "Rare_Character",
"value": 1
},
{
"name": "Ultra_Rare_Character",
"value": 1
}
]
}
]
Let's just say for example I ran this simple gacha and got 4 characters:
let i = 1
var picks = []
while(i <= 4){
const { pick } = gacha.simple(alpha)
picks.push(pick)
i++
}
Now, picks has an array like this:
[
{
"name": "Common_Character"
},
{
"name": "Ultra_Rare_Character"
},
{
"name": "Common_Character"
},
{
"name": "Rare_Character"
}
]
How do I increment the value in My Example JSON file based on the name from what I got in my gacha results picks while ignoring the Common_Character and only passing those Rare and Ultra_Rare ones?
I've tried filtering them like this:
var filter = picks.filter(t => t.name === 'Rare_Character' || t.name === 'Ultra_Rare_Character')
Now I don't know how to increase those values in my JSON file and what if in the gacha results I got two Rare_Characters or Ultra_Rare_Character
I'm using fs to read my JSON file but I just don't know the logic to increase values
const src = [
{
"discordId": "9273927302020",
"characters": [
{
"name": "Rare_Character",
"value": 1
},
{
"name": "Ultra_Rare_Character",
"value": 1
}
]
}
];
const gacha = [
{
"name": "Common_Character"
},
{
"name": "Ultra_Rare_Character"
},
{
"name": "Common_Character"
},
{
"name": "Rare_Character"
}
];
const updateValues = (src, gacha) => {
const gachaSums = gacha.reduce((collector, current) => {
collector[current.name] = (collector[current.name] | 0) + 1;
return collector;
}, {});
src.characters.forEach(srcChar => {
gachaSums[srcChar.name] = srcChar.value + (gachaSums[srcChar.name] | 0);
});
src.characters = Object.entries(gachaSums).map(([key, value]) =>
({ name: key, value: value })
);
return src;
}
console.log(updateValues(src[0], gacha));
Maybe this version could help
I get an input like this:
input 1:
{
"name": "Ben",
"description": "Ben",
"attributes": [
{
"type": "Background",
"value": "Default"
},
{
"type": "Hair-color",
"value": "Brown"
}
]
}
input 2
{
"name": "Ice",
"description": "Ice",
"attributes": [
{
"type": "Background",
"value": "Green"
},
{
"type": "Hair-color",
"value": "White"
}
]
}
input 3
{
"name": "Itay",
"description": "Itay",
"attributes": [
{
"type": "Background",
"value": "Default"
},
{
"type": "Hair-color",
"value": "Brown"
}
]
}
What I want to do is count the amount of each type of background and each type of hair-color appearing.
(These are sample examples and in reality there are more types and different values)
Let's say in these examples we have 2 objects that have a background as default then I want to have a count of that like so:
export interface TraitCount {
value: string,
count: number
}
export interface CountOfEachAttribute {
trait_type: string,
trait_count: traitCount[] | null,
total_variations: number
}
I want the most effective code because there are other aspects to the code, in addition it will run on 5-10k queries not just three, so needs
to run in good times too :D
(It's similar to my other question done with python but now I need it in js also)
Atm it's something like this:
(Apart of a much bigger code so keep that in mind)
setInitalCountOfAllAttribute( state, { payload }: PayloadAction<CountOfEachAttribute[] | null> ) {
if (payload === null) {
state.countOfAllAttribute = null;
} else {
state.countOfAllAttribute = payload;
}
},
setCountOfAllAttribute(state, { payload }: PayloadAction<Attribute>) {
if (state.countOfAllAttribute !== null) {
state.countOfAllAttribute.map(
(countOfEachAttribute: CountOfEachAttribute) => {
// Find the trait type
if (countOfEachAttribute.trait_type === payload.trait_type) {
// initiate the trait count array to store all the trait values and add first trait value
if (countOfEachAttribute.trait_count === null) {
const new_trait_count = { value: payload.value, count: 1 };
countOfEachAttribute.trait_count = [new_trait_count];
countOfEachAttribute.total_variations++;
}
// Trait array already existed.
else {
// Check if value already present or not
const checkValue = (obj: any) => obj.value === String(payload.value);
const isPresent = countOfEachAttribute.trait_count.some(checkValue)
const isPresent2 = countOfEachAttribute.trait_count.find((elem: any) => elem.value === String(payload.value))
// Value matched, increase its count by one
if (isPresent2) {
countOfEachAttribute.trait_count &&
countOfEachAttribute.trait_count.map((trait) => {
if (trait.value === payload.value) {
trait.count++;
}
});
}
// Value doesn't match, add a new entry and increase the count of variations by one
else {
const new_trait_count = { value: payload.value, count: 1 };
countOfEachAttribute.trait_count = [
...countOfEachAttribute.trait_count,
new_trait_count,
];
countOfEachAttribute.total_variations++;
}
}
}
}
);
}
},
You can merge all arrays and use Array.reduce.
const input1 = {
"name": "Ben",
"description": "Ben",
"attributes": [{
"type": "Background",
"value": "Default"
},
{
"type": "Hair-color",
"value": "Brown"
}
]
}
const input2 = {
"name": "Ice",
"description": "Ice",
"attributes": [{
"type": "Background",
"value": "Green"
},
{
"type": "Hair-color",
"value": "White"
}
]
}
const input3 = {
"name": "Itay",
"description": "Itay",
"attributes": [{
"type": "Background",
"value": "Default"
},
{
"type": "Hair-color",
"value": "Brown"
}
]
}
const mergedInput = [input1, input2, input3];
const result = mergedInput.reduce((acc, item) => {
item.attributes.forEach(attrItem => {
const existType = acc.find(e => e.trait_type == attrItem.type);
if (existType) {
var existAttr = existType.trait_count.find(e => e.value == attrItem.value);
if (existAttr) {
existAttr.count++;
} else {
existType.trait_count.push({
value: attrItem.value,
count: 1
});
existType.total_variations++;
}
} else {
acc.push({
trait_type: attrItem.type,
trait_count: [{
value: attrItem.value,
count: 1
}],
total_variations: 1
})
}
});
return acc;
}, []);
console.log(result);
I suggest instead of creating an array for trait_count to make it an object so you don't have to iterate over it whenever you are adding a new attribute. In the snippet below I'm using the value of the attribute as a sort of hash that allows the access to the given property without having to call the Array.prototype.find function
const input1 = {"name":"Ben","description":"Ben","attributes":[{"type":"Background","value":"Default"},{"type":"Hair-color","value":"Brown"}]};
const input2 = {"name":"Ice","description":"Ice","attributes":[{"type":"Background","value":"Green"},{"type":"Hair-color","value":"White"}]};
const input3 = {"name":"Itay","description":"Itay","attributes":[{"type":"Background","value":"Default"},{"type":"Hair-color","value":"Brown"}]};
function countAtributes(input, totalCounts={}) {
input.attributes.forEach((attribute) => {
if (!totalCounts[attribute.type])
totalCounts[attribute.type] = {trait_type: attribute.type, trait_count: {}, total_variations: 0};
if (!totalCounts[attribute.type].trait_count[attribute.value]) {
totalCounts[attribute.type].trait_count[attribute.value] = {value: attribute.value, count: 1};
totalCounts[attribute.type].total_variations+=1;
}
else totalCounts[attribute.type].trait_count[attribute.value].count +=1;
})
}
const totalCounts = {};
countAtributes(input1, totalCounts);
countAtributes(input2, totalCounts);
countAtributes(input3, totalCounts);
console.log(totalCounts);
It could be turned into the array afterwards with Object.values if necessary
I believe it is a much better approach to what you had before as you don't have to iterate over the tables of trait_counts. In theory it should significantly reduce the time taken. Iterating over the array and checking a condition each time is much slower than key lookup in Javascript object
I am really struggling with the Object transformation. I have an array of Object and want to transform it into Highcharts multi line chart input. I want to get the unique dates first sorted from low to high, which will go into x axis and then transform the Original based on ID and date. The length for each ID.data is going to remain same (for whatever date count is not available for that date it will come as null)
Original:
[
{
"date": "1997-09-29",
"Count": 100,
"ID": "AB12-R"
},
{
"date": "1997-12-30",
"Count": 104.7,
"ID": "AB13-R"
},
{
"date": "1998-03-30",
"Count": 981,
"ID": "BA12-R"
},
{
"date": "1998-06-01",
"Count": 341,
"ID": "BA12-R"
}
]
Transformed:
[{
Identiy : 'AB12-R',
data : [100,null,null,null]
},
{
Identiy : 'AB13-R',
data : [null,104.7,null,null]
},{
Identiy : 'BA12-R',
data : [null,null,981,341]
}]
I have tried with reduce but nothing is working it seems. I am able to group it by ID but not able to handle the null and missing count, Can someone please help me here ?
This is what i have tried:
const result = Original.reduce(function (r, a) {
r[a.ID] = r[a.ID] || [];
r[a.ID].push(a);
return r;
}, Object.create(null));
console.log({'Transformed':result})
Take a look at this solution:
const hcData = [];
data.forEach((d, i) => {
const checkIfExist = hcData.find(data => data.id === d["ID"])
if (checkIfExist) {
checkIfExist.data[i] = d["Count"];
} else {
const initialData = [...Array(data.length)]
initialData.fill(null, 0, data.length)
initialData[i] = d["Count"];
hcData.push({
data: initialData,
id: d["ID"]
})
}
})
Demo: https://jsfiddle.net/BlackLabel/k2dg1wns/
I'm working on a react app that mimics a retail website. My main page displays an item, and below has card components of related products. When I click a button on one of the related products, I open a comparison modal that compares features of the current product and the clicked upon product. I figured that to accomplish this, I would create an array of the combined features of the clicked on product and the main page product. I've been struggling to get create an array of objects, where each unique feature has an object with data inside about the features and which product the feature belongs to.
As of right now, I've been able to get an array of all the features that the two products have, but this array has repeats if the products have overlapping features. This makes me unsure of how to render the comparison table because I was planning on mapping over the array and creating a table row for each feature. My current code to format these features is as follows:
formatFeatures: (currentProd, clickedProd) => {
let combinedFeatures = [];
if (clickedProd.features) {
clickedProd.features.forEach(feature => {
let obj = {}
let vals = Object.values(feature);
obj[vals[0]] = [vals[1], clickedProd.id]
combinedFeatures.push(obj)
})
}
currentProd.features.forEach(feature => {
let obj = {}
let vals = Object.values(feature);
obj[vals[0]] = [vals[1], currentProd.id]
combinedFeatures.push(obj)
})
let formattedFeatures = combinedFeatures.reduce((allFeatures, feature) => {
if (Object.keys(feature) in allFeatures) {
allFeatures = [allFeatures[Object.keys(feature)]].concat(feature);
} else {
allFeatures.push(feature);
}
return allFeatures;
}, [])
The result of this is:
[{
"Fabric": ["100% Cotton", 28214]
}, {
"Cut": ["Skinny", 28214]
}, {
"Fabric": ["Canvas", 28212]
}, {
"Buttons": ["Brass", 28212]
}]
This is pretty close to what I am looking for, where I have an array of objects that contain information about the feature and product id of the product, but the repeat in "Fabric" is something I'm struggling to sort out. Ideally, the result would look like this:
[{
"Fabric": ["100% Cotton", 28214],
["Canvas", 28212]
}, {
"Cut": ["Skinny", 28214]
}, {
"Buttons": ["Brass", 28212]
}]
If anyone can help guide me as to how to change my formatting function to accomplish this, I'd be very grateful. Alternatively, if anyone knows a better way to dynamically format a table with a single row for each unique feature given my current result, that would be great too.
The data coming into my helper function is as follows:
CurrentProd:
{
"id": 28212,
"name": "Camo Onesie",
"slogan": "Blend in to your crowd",
"description": "The So Fatigues will wake you up and fit you in. This high energy camo will have you blending in to even the wildest surroundings.",
"category": "Jackets",
"default_price": "140.00",
"created_at": "2021-07-10T17:00:03.509Z",
"updated_at": "2021-07-10T17:00:03.509Z",
"features": [{
"feature": "Fabric",
"value": "Canvas"
}, {
"feature": "Buttons",
"value": "Brass"
}]
}
ClickedProd:
{
"name": "Morning Joggers",
"category": "Pants",
"originalPrice": "40.00",
"salePrice": null,
"photo": "https://images.unsplash.com/photo-1552902865-b72c031ac5ea?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=300&q=80",
"id": 28214,
"features": [{
"feature": "Fabric",
"value": "100% Cotton"
}, {
"feature": "Cut",
"value": "Skinny"
}]
}
There seems to be a bigger question of how to structure your data. You say that ideally your results would look like:
[
{
"Fabric":
["100% Cotton",28214],
["Canvas",28212]
},
{
"Cut":
["Skinny",28214]
},
{
"Buttons":
["Brass",28212]
}
]
But what you're really trying to get out of this is a combined list of rows and associated values for each item feature, if it exists. All you really need then is an array of keys for each row you want to display, and objects that let you access the needed property by that key.
The array of keys could look like this:
["Fabric", "Cut", "Buttons"]
The objects you want to access the properties using those keys, for example your CurrentProd, could be this (notice that you can access a feature by calling CurrentProd.features["FeatureName"]):
{
"id":28212,
"name":"Camo Onesie",
// ... //
"features": {
"Fabric": "Canvas",
"Buttons": "Brass"
}
}
Having said that, to get those things you can get the array of keys, which we'll call allFeatureKeys, by reducing over a combined array of CurrentProd.features and ClickedProd.features:
const allFeatureKeys = [
...CurrentProd.features,
...ClickedProd.features
].reduce((acc, cur) => {
return acc.findIndex(cur.feature) > -1 ? [...acc, cur.feature] : acc
},
[]
);
And you can modify your CurrentProd to the above data shape by reducing over the array of its features, let's call this modifiedCurrentProd:
const modifiedCurrentProd = {
...CurrentProd,
features: CurrentProd.features.reduce((acc, cur) => {
return {...acc, [cur.feature]: cur.value}
}, {})
}
Repeat that for a modifiedClickedProd object, then you have both CurrentProd.features and ClickedProd.features values available for a lookup when you create your table values.
As an example only, since I don't know your react structure or what data you want to display, you can then render the values in the table rows mapping over the keys to make each row, and for each feature key, you access the value from the modifiedCurrentProd or modifiedClickedProd object's features property:
<div id="table">
{allFeatureKeys.map((featureKey) => {
return <div id="table-row">
<div>{featureKey}</div>
<div>
{
modifiedCurrentProd.features[featureKey] !== undefined
? modifiedCurrentProd.id
: "n/a"
}
</div>
<div>
{
modifiedClickedProd.features[featureKey] !== undefined
? modifiedClickedProd.id
: "n/a"
}
</div>
</div>
})}
</div>
Firstly the target data structure needs to be fixed/optimized. It looks like the OP does concentrate on something which is based on a generic Feature (like Fabric, Cut, Buttons) whereas such feature values seem to be associated more with the Product. Thus for one and the same feature the values are unique to the product feature. In order to not loose the product information, a target format's feature item needs to reflect its related product's id property.
A viable and still flexible enough target data structure then might look like this ...
{
"Fabric": [{
productId: 28214,
value: "100% Cotton",
}, {
productId: 28212,
value: "Canvas",
}],
"Cut": [{
productId: 28214,
value: "Skinny",
}],
"Buttons": [{
productId: 28212,
value: "Brass",
}],
}
Any approach should start with a data-normalizing mapping-process of a product's features list where each feature item will get its product related id assigned.
Thus a feature item like { feature: "Buttons", value: "Brass" } gets mapped temporarily into { productId: 28212, feature: "Buttons", value: "Brass" }.
The two normalized data-item lists now can be concatenated and finally processed/reduced into the final target structure ...
function mergeBoundProductId(item) {
return { ...this, ...item };
}
function aggregateProductFeatureValueLists(index, productFeature) {
const { feature, ...featureValue } = productFeature;
const featureList = index[feature] ??= [];
//const featureList = index[feature] || (index[feature] = []);
featureList.push(featureValue);
return index;
}
function createIndexOfProductFeatureValues(clickedProd, currentProd) {
const { features:clickedFeatures } = clickedProd;
const { features:currentFeatures } = currentProd;
return [
...clickedFeatures.map(mergeBoundProductId, { productId: clickedProd.id }),
...currentFeatures.map(mergeBoundProductId, { productId: currentProd.id }),
].reduce(aggregateProductFeatureValueLists, {});
}
const currentProduct = {
id: 28212,
name: "Camo Onesie",
// ... more properties ...
features: [{
feature: "Fabric",
value: "Canvas",
}, {
feature: "Buttons",
value: "Brass",
}],
};
const clickedProduct = {
name: "Morning Joggers",
// ... more properties ...
id: 28214,
features: [{
feature: "Fabric",
value: "100% Cotton",
}, {
feature: "Cut",
value: "Skinny",
}],
};
console.log(
'createIndexOfProductFeatureValues(clickedProduct, currentProduct) ...',
createIndexOfProductFeatureValues(clickedProduct, currentProduct)
);
.as-console-wrapper { min-height: 100%!important; top: 0; }
The advantage of breaking the code into dedicated processes comes with easier refactoring for e.g. changed target structures like something closer to what the OP was looking for.
The changes to the reducer function are minimal. It's just two changes, each barely noticeable in its line ...
function mergeBoundProductId(item) {
return { ...this, ...item };
}
function aggregateProductFeatureValueLists(index, productFeature) {
const { feature, productId, value } = productFeature;
const featureList = index[feature] ??= [];
featureList.push([value, productId]);
return index;
}
function createIndexOfProductFeatureValues(clickedProd, currentProd) {
const { features:clickedFeatures } = clickedProd;
const { features:currentFeatures } = currentProd;
return [
...clickedFeatures.map(mergeBoundProductId, { productId: clickedProd.id }),
...currentFeatures.map(mergeBoundProductId, { productId: currentProd.id }),
].reduce(aggregateProductFeatureValueLists, {});
}
console.log(
'createIndexOfProductFeatureValues(clickedProduct, currentProduct) ...',
createIndexOfProductFeatureValues(clickedProduct, currentProduct)
);
.as-console-wrapper { min-height: 100%!important; top: 0; }
<script>
const currentProduct = {
id: 28212,
name: "Camo Onesie",
// ... more properties ...
features: [{
feature: "Fabric",
value: "Canvas",
}, {
feature: "Buttons",
value: "Brass",
}],
};
const clickedProduct = {
name: "Morning Joggers",
// ... more properties ...
id: 28214,
features: [{
feature: "Fabric",
value: "100% Cotton",
}, {
feature: "Cut",
value: "Skinny",
}],
};
</script>
The last example's purpose too is to prove the advantage of an easy to refactor code base.
Here the main function gets renamed from createIndexOfProductFeatureValues to createListOfProductFeatureValues.
It's implementation also changes likewise but only in the way how the reducer function gets invoked with its initial value.
The reducer function also does not change dramatically, only in the way of how the accumulating/aggregating collector object gets handled.
And the result is a clean array based object structure ...
function mergeBoundProductId(item) {
return { ...this, ...item };
}
function aggregateProductFeatureValueLists(collector, productFeature) {
const { feature, productId, value } = productFeature;
const { index, list } = collector;
const featureItem = index[feature] ??= { feature, values: [] };
if (featureItem.values.length === 0) {
list.push(featureItem);
}
featureItem.values.push([value, productId]);
return collector;
}
function createListOfProductFeatureValues(clickedProd, currentProd) {
const { features:clickedFeatures } = clickedProd;
const { features:currentFeatures } = currentProd;
return [
...clickedFeatures.map(mergeBoundProductId, { productId: clickedProd.id }),
...currentFeatures.map(mergeBoundProductId, { productId: currentProd.id }),
].reduce(aggregateProductFeatureValueLists, { index: {}, list: [] }).list;
}
console.log(
'createListOfProductFeatureValues(clickedProduct, currentProduct) ...',
createListOfProductFeatureValues(clickedProduct, currentProduct)
);
.as-console-wrapper { min-height: 100%!important; top: 0; }
<script>
const currentProduct = {
id: 28212,
name: "Camo Onesie",
// ... more properties ...
features: [{
feature: "Fabric",
value: "Canvas",
}, {
feature: "Buttons",
value: "Brass",
}],
};
const clickedProduct = {
name: "Morning Joggers",
// ... more properties ...
id: 28214,
features: [{
feature: "Fabric",
value: "100% Cotton",
}, {
feature: "Cut",
value: "Skinny",
}],
};
</script>
You are already looping through both once. You can get it without reducing.
const formatFeatures = (currentProd, clickedProd) => {
const formattedFeatures = {};
if (clickedProd.features) {
clickedProd.features.forEach(feature => {
const vals = Object.values(feature);
if (!formattedFeatures.hasOwnProperty(vals[0])) {
formattedFeatures[vals[0]] = [];
}
formattedFeatures[vals[0]].push([vals[1], clickedProd.id]);
});
}
currentProd.features.forEach(feature => {
const vals = Object.values(feature);
if (!formattedFeatures.hasOwnProperty(vals[0])) {
formattedFeatures[vals[0]] = [];
}
formattedFeatures[vals[0]].push([vals[1], currentProd.id]);
})
return formattedFeatures;
}
const currentProd = {
"id": 28212,
"name": "Camo Onesie",
"slogan": "Blend in to your crowd",
"description": "The So Fatigues will wake you up and fit you in. This high energy camo will have you blending in to even the wildest surroundings.",
"category": "Jackets",
"default_price": "140.00",
"created_at": "2021-07-10T17:00:03.509Z",
"updated_at": "2021-07-10T17:00:03.509Z",
"features": [{
"feature": "Fabric",
"value": "Canvas"
}, {
"feature": "Buttons",
"value": "Brass"
}]
};
const clickedProd = {
"name": "Morning Joggers",
"category": "Pants",
"originalPrice": "40.00",
"salePrice": null,
"photo": "https://images.unsplash.com/photo-1552902865-b72c031ac5ea?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=300&q=80",
"id": 28214,
"features": [{
"feature": "Fabric",
"value": "100% Cotton"
}, {
"feature": "Cut",
"value": "Skinny"
}]
};
console.log(formatFeatures(currentProd, clickedProd));
.as-console-wrapper { min-height: 100%!important; top: 0; }
How can I get the names of different activity in an array by using map function in this type of response. So that in a new array, assume that activity[] i will get names of all the activities mention below.
if the array is
const response = [
{
"Groups" : {
"Roles" : {
"submission": {
"subject" : {
"name": "history",
}
}
}
}
}
];
I managed to do this using an IIFE but there may be cleaner ways
assuming there in one object in the array and no other path to other permission
const response = [
{
"Roles" : {
"Permission" : {
"PERMISSION1": {
"Activity" : {
"name": "Manage Clients",
}
},
"PERMISSION2": {
"Activity" : {
"name": "Manage Users",
}
}
}
}
}
];
let activities = (() => {
let res = []
for (let perm in response[0].Roles.Permission) {
for (let act in response[0].Roles.Permission[perm]) {
res.push(response[0].Roles.Permission[perm][act].name)
}
}
return res})()
console.log(activities)
At first, you should convert Permission object to array, cause object doesn't have method map.
Then you could use map function where you can collect all your permissions' names for every item in response
const response = [{
"Roles": {
"Permission": {
"PERMISSION1": {
"Activity": {
"name": "Manage Clients",
}
},
"PERMISSION2": {
"Activity": {
"name": "Manage Users",
}
}
}
}
}];
response.forEach((item) => {
item.Activities = Object.values(item.Roles.Permission).map((permission) => permission.Activity.name)
});
alert(JSON.stringify(response));
The only array you have is response. If each item in response has a Roles that has a Permission that has several keys with objects that have Activity with name then you can do the following:
var response = [
{
Roles: {
Permission: {
PERMISSION1: {
Activity: {
name: 'Manage Clients',
},
},
PERMISSION2: {
Activity: {
name: 'Manage Users',
},
},
},
},
},
];
console.log(
response.map(
(item) =>
Object.values(item.Roles.Permission)
.map(
(permission) => permission.Activity.name
)
)
);
I recommend using a flatMap, so use .reduce.
const response = [{
"Roles": {
"Permission": {
"PERMISSION1": {
"Activity": {
"name": "Manage Clients",
}
},
"PERMISSION2": {
"Activity": {
"name": "Manage Users",
}
}
}
}
}];
const activityNames = response.reduce(function (acc, res) {
const permissions = res.Roles.Permission;
const permissionKeys = Object.keys(permissions);
const names = permissionKeys.map(function(permissionKey) {
return permissions[permissionKey].Activity.name;
});
acc.push(...names);
return acc;
}, [])
console.log(activityNames); // ["Manage Clients", "Manage Users"]