Get cypress database query output objects in to variables - javascript
I have a cypress test which has been set up with mysql node module. When I run bellow mentioned test Its giving output as follows.
const executeQuery = (query) => {
cy.task('DBQuery', query).then(function (recordset) {
var rec = recordset
cy.log(rec)
})
}
Query:
select *
from Users
where email = 'sheeranlymited#lymitedtest.com'
OUTPUT: log [Object{23}]
Query:
select firstname
from Users
where email = 'sheeranlymited#lymitedtest.com'
OUTPUT: log [{firstname: Edward}]
instead of cy.log(rec) I want to get the output of 23 columns to assign in to different variables based on the column name.
Appreciate if someone can help me to resolve this...
You can use Object.values in js to retrieve values from your object
Let's say you need to extract the value of the 3rd column, so your code will look like,
cy.task('DBQuery', query).then(function (recordset) {
var rec = recordset
const results = Object.values(rec[0])
// results[index of the column] will output the results
cy.log(results[3])
})
We can do a small modification to make your task easier,
cy.task('DBQuery', query).then(function (recordset) {
var rec = recordset
const Values = Object.values(rec[0]);
const keys = Object.keys(rec[0]);
let result = {};
let index = 0;
keys.forEach(key => {
result[keys[index]] = Values[index];
i++
})
//result.firstName will give you your results
cy.log(result.firstName);
})
In this way, we are generating key-value pairs having the key as the column name. So you can use the column name to find the value.
Hope this helps.
cheers.
Related
Array of object - get id for selected user name inside function
const user = [
{name:"jonh" ,id:EAD1234},
{name:"peter" ,id:EAD1235},
{name:"matt" ,id:EAD1236},
{name:"henry" ,id:EAD1237},
]
I have above mentioned array of object,
I want to get selected user id dynamically based on user selection using es6 and javascript e.g. if i select john i should get EAD1234. and it must suitable on large number of records
I tried using filter method
No need to filter through the whole array if the id values are unique:
function getUserByID(id, users) {
for (const u of users) {
if (u.id === id) {
return u;
}
}
return null;
}
If your data really is exceptionally large and it makes sense to store it on the front-end look into using IndexedDB.
Edit: Someone in the comments somewhere mentioned Array.prototype.find(), so you might as well just use the built-in.
function getUserByID(id, users) {
return users.find((u) => u.id === id) || null;
}
If the data is samll,then just combine Array.filter() and Array.map() can do it.
If the data is too large,we can store the data into a database such as mysql or redis,then query it dynamiclly
const user = [
{name:"jonh" ,id:'EAD1234'},
{name:"peter" ,id:'EAD1235'},
{name:"matt" ,id:'EAD1236'},
{name:"henry" ,id:'EAD1237'}
]
let id = 'EAD1234'
let result = user.filter(u => u.id === id).map(u => u.name)
console.log(result)
const user = [
{name:"john" ,id:'EAD1234'},
{name:"peter" ,id:'EAD1235'},
{name:"matt" ,id:'EAD1236'},
{name:"henry" ,id:'EAD1237'},
];
let userName = "john";
let userId = user.filter(user => user.name === userName)[0].name;
filter and copy data from one spreadsheet to another while criteria is in different spreadsheet
I have two google sheets forst one is https://docs.google.com/spreadsheets/d/1PJtjlkxCDFOIhJxpMJl4PcpJKL4nvGVtk2LDgVhbuNQ/edit#gid=0 and the second is https://docs.google.com/spreadsheets/d/1ZGw6dHpYE4ABvsE8S6dIPe7kLQ1eZW95Xp2F1oPHX5c/edit#gid=0 I want to filer data in first sheet base on the criteria which presents in the second sheet "Automate!D3" and then copy the filtered data to second sheet in "Filtered_Data". and want to this process automate so in future when i add more data to sheet one so that can be copy to below data in sheet two. i can not able to filter throw app script, so i want to help in this.
Something like this should work:
const dsid = "1PJtjlkxCDFOIhJxpMJl4PcpJKL4nvGVtk2LDgVhbuNQ";
const tssid = "1ZGw6dHpYE4ABvsE8S6dIPe7kLQ1eZW95Xp2F1oPHX5c"
function filterByDate() {
const values = SpreadsheetApp.openById(dsid).getSheetByName('DT').getDataRange().getValues();
const tss = SpreadsheetApp.openById(tssid);
const criteria = tss.getSheetByName('Automate').getRange('D3').getValue();
const ts = tss.getSheetByName('Filtered_Data');
const results = values
.filter(row => row[1].getDate == criteria.getDate)
.map(row => [row[1],row[2],row[3],row[4]]);
ts.getRange(2,1,results.length,results[0].length).setValues(results);
}
I would suggest to place the criteria value in the daily sheet, and install the function into daily sheet as an edit trigger.
Make sure that the 'criteria' and the 'date' column are both formatted as 'Date' format.
The follow code has changed the way to get values.
Insead of .getValues(), it now uses .getDisplayValues(), and convert the string back into date obj afterwards.
const dsid = "1PJtjlkxCDFOIhJxpMJl4PcpJKL4nvGVtk2LDgVhbuNQ";
const tssid = "1ZGw6dHpYE4ABvsE8S6dIPe7kLQ1eZW95Xp2F1oPHX5c";
function filterByDate() {
const values = SpreadsheetApp.openById(dsid).getSheetByName('DT').getDataRange().getDisplayValues();
const tss = SpreadsheetApp.openById(tssid);
const criteria = tss.getSheetByName('Automate').getRange('D3').getDisplayValues();
const ts = tss.getSheetByName('Filtered_Data');
const results = values
.filter(row => new Date(row[1]).setHours(0,0,0,0) == new Date(criteria).setHours(0,0,0,0))
.map(row => [row[1],row[2],row[3],row[4]]);
ts.getRange(2,1,results.length,results[0].length).setValues(results);
}
Get keys and values ​from object from JSON url in javascript
I have this const url that I have to get 4 keys and values of "current": "dt":1643884851, "temp":8.11 and in "weather" I have to get "description":"few clouds" and "icon":"02d".
After that, I have to get the same keys and values of all objects in daily.
How can I do this?
const url = '{"lat":39.7436,"lon":-8.8071,"timezone":"Europe/Lisbon","timezone_offset":0,"current":{"dt":1643884851,"sunrise":1643874091,"sunset":1643910991,"temp":8.11,"feels_like":6.94,"pressure":1025,"humidity":87,"dew_point":6.08,"uvi":1.63,"clouds":20,"visibility":7000,"wind_speed":2.06,"wind_deg":160,"weather":[{"id":801,"main":"Clouds","description":"few clouds","icon":"02d"}]},"daily":[{"dt":1643889600,"sunrise":1643874091,"sunset":1643910991,"moonrise":1643880300,"moonset":1643920800,"moon_phase":0.08,"temp":{"day":9.56,"min":8.11,"max":14.8,"night":10.29,"eve":11.42,"morn":8.61},"feels_like":{"day":9.15,"night":9.8,"eve":10.78,"morn":8.61},"pressure":1025,"humidity":81,"dew_point":6.47,"wind_speed":2.51,"wind_deg":279,"wind_gust":2.99,"weather":[{"id":802,"main":"Clouds","description":"scattered clouds","icon":"03d"}],"clouds":36,"pop":0,"uvi":2.12},{"dt":1643976000,"sunrise":1643960432,"sunset":1643997463,"moonrise":1643968320,"moonset":1644011220,"moon_phase":0.12,"temp":{"day":14.02,"min":9.3,"max":14.86,"night":9.66,"eve":11.67,"morn":9.3},"feels_like":{"day":13.17,"night":8.63,"eve":10.96,"morn":9.3},"pressure":1026,"humidity":65,"dew_point":7.18,"wind_speed":3.71,"wind_deg":335,"wind_gust":5.97,"weather":[{"id":804,"main":"Clouds","description":"overcast clouds","icon":"04d"}],"clouds":100,"pop":0,"uvi":1.99},{"dt":1644062400,"sunrise":1644046772,"sunset":1644083936,"moonrise":1644056160,"moonset":1644101520,"moon_phase":0.15,"temp":{"day":14.98,"min":8.24,"max":16.46,"night":9.23,"eve":10.87,"morn":8.6},"feels_like":{"day":14.1,"night":8.89,"eve":10.23,"morn":8.6},"pressure":1026,"humidity":60,"dew_point":6.78,"wind_speed":2.88,"wind_deg":336,"wind_gust":4.08,"weather":[{"id":803,"main":"Clouds","description":"broken clouds","icon":"04d"}],"clouds":83,"pop":0,"uvi":2.57},{"dt":1644148800,"sunrise":1644133110,"sunset":1644170408,"moonrise":1644143940,"moonset":1644191700,"moon_phase":0.18,"temp":{"day":17.47,"min":8.59,"max":19.18,"night":11.06,"eve":13.31,"morn":8.59},"feels_like":{"day":16.4,"night":9.81,"eve":12.34,"morn":7.67},"pressure":1028,"humidity":43,"dew_point":4.4,"wind_speed":2.22,"wind_deg":18,"wind_gust":3.79,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"clouds":1,"pop":0,"uvi":2.62},{"dt":1644235200,"sunrise":1644219446,"sunset":1644256880,"moonrise":1644231840,"moonset":0,"moon_phase":0.22,"temp":{"day":18.22,"min":8.77,"max":19.22,"night":10.85,"eve":12.93,"morn":8.77},"feels_like":{"day":16.93,"night":9.3,"eve":11.56,"morn":7.52},"pressure":1028,"humidity":32,"dew_point":0.71,"wind_speed":3.49,"wind_deg":107,"wind_gust":5.75,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"clouds":3,"pop":0,"uvi":2.59},{"dt":1644321600,"sunrise":1644305782,"sunset":1644343352,"moonrise":1644319800,"moonset":1644281820,"moon_phase":0.25,"temp":{"day":17.33,"min":8.84,"max":18.69,"night":11.51,"eve":13.43,"morn":8.84},"feels_like":{"day":16.14,"night":10.26,"eve":12.32,"morn":7.32},"pressure":1026,"humidity":39,"dew_point":2.71,"wind_speed":2.68,"wind_deg":124,"wind_gust":6.18,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"clouds":0,"pop":0,"uvi":3},{"dt":1644408000,"sunrise":1644392115,"sunset":1644429824,"moonrise":1644407940,"moonset":1644371940,"moon_phase":0.28,"temp":{"day":17.75,"min":10.34,"max":18.5,"night":14.17,"eve":15.25,"morn":10.34},"feels_like":{"day":16.7,"night":13.18,"eve":14.35,"morn":9.02},"pressure":1027,"humidity":43,"dew_point":4.69,"wind_speed":3.26,"wind_deg":133,"wind_gust":6.17,"weather":[{"id":804,"main":"Clouds","description":"overcast clouds","icon":"04d"}],"clouds":88,"pop":0,"uvi":3},{"dt":1644494400,"sunrise":1644478447,"sunset":1644516296,"moonrise":1644496380,"moonset":1644461940,"moon_phase":0.31,"temp":{"day":16.66,"min":13.48,"max":16.84,"night":15.49,"eve":16.01,"morn":13.52},"feels_like":{"day":15.77,"night":14.82,"eve":15.31,"morn":12.49},"pressure":1026,"humidity":53,"dew_point":6.71,"wind_speed":5.27,"wind_deg":115,"wind_gust":10.08,"weather":[{"id":500,"main":"Rain","description":"light rain","icon":"10d"}],"clouds":100,"pop":0.36,"rain":0.43,"uvi":3}]}'
I tryed this, but doesn't work
const url2 = JSON.parse(url)
let result = url2.current.map(({ dt, temp, weather: [{ description, icon }] }) => ({ dt, day }));
These two values I get doing this:
let day = url2.current.dt
let temp = url2.current.temp
console.log(day, temp)
I think this is what you want to achieve, result is an array of dt, temp, description and icon from current and daily objects
const str = '{"lat":39.7436,"lon":-8.8071,"timezone":"Europe/Lisbon","timezone_offset":0,"current":{"dt":1643884851,"sunrise":1643874091,"sunset":1643910991,"temp":8.11,"feels_like":6.94,"pressure":1025,"humidity":87,"dew_point":6.08,"uvi":1.63,"clouds":20,"visibility":7000,"wind_speed":2.06,"wind_deg":160,"weather":[{"id":801,"main":"Clouds","description":"few clouds","icon":"02d"}]},"daily":[{"dt":1643889600,"sunrise":1643874091,"sunset":1643910991,"moonrise":1643880300,"moonset":1643920800,"moon_phase":0.08,"temp":{"day":9.56,"min":8.11,"max":14.8,"night":10.29,"eve":11.42,"morn":8.61},"feels_like":{"day":9.15,"night":9.8,"eve":10.78,"morn":8.61},"pressure":1025,"humidity":81,"dew_point":6.47,"wind_speed":2.51,"wind_deg":279,"wind_gust":2.99,"weather":[{"id":802,"main":"Clouds","description":"scattered clouds","icon":"03d"}],"clouds":36,"pop":0,"uvi":2.12},{"dt":1643976000,"sunrise":1643960432,"sunset":1643997463,"moonrise":1643968320,"moonset":1644011220,"moon_phase":0.12,"temp":{"day":14.02,"min":9.3,"max":14.86,"night":9.66,"eve":11.67,"morn":9.3},"feels_like":{"day":13.17,"night":8.63,"eve":10.96,"morn":9.3},"pressure":1026,"humidity":65,"dew_point":7.18,"wind_speed":3.71,"wind_deg":335,"wind_gust":5.97,"weather":[{"id":804,"main":"Clouds","description":"overcast clouds","icon":"04d"}],"clouds":100,"pop":0,"uvi":1.99},{"dt":1644062400,"sunrise":1644046772,"sunset":1644083936,"moonrise":1644056160,"moonset":1644101520,"moon_phase":0.15,"temp":{"day":14.98,"min":8.24,"max":16.46,"night":9.23,"eve":10.87,"morn":8.6},"feels_like":{"day":14.1,"night":8.89,"eve":10.23,"morn":8.6},"pressure":1026,"humidity":60,"dew_point":6.78,"wind_speed":2.88,"wind_deg":336,"wind_gust":4.08,"weather":[{"id":803,"main":"Clouds","description":"broken clouds","icon":"04d"}],"clouds":83,"pop":0,"uvi":2.57},{"dt":1644148800,"sunrise":1644133110,"sunset":1644170408,"moonrise":1644143940,"moonset":1644191700,"moon_phase":0.18,"temp":{"day":17.47,"min":8.59,"max":19.18,"night":11.06,"eve":13.31,"morn":8.59},"feels_like":{"day":16.4,"night":9.81,"eve":12.34,"morn":7.67},"pressure":1028,"humidity":43,"dew_point":4.4,"wind_speed":2.22,"wind_deg":18,"wind_gust":3.79,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"clouds":1,"pop":0,"uvi":2.62},{"dt":1644235200,"sunrise":1644219446,"sunset":1644256880,"moonrise":1644231840,"moonset":0,"moon_phase":0.22,"temp":{"day":18.22,"min":8.77,"max":19.22,"night":10.85,"eve":12.93,"morn":8.77},"feels_like":{"day":16.93,"night":9.3,"eve":11.56,"morn":7.52},"pressure":1028,"humidity":32,"dew_point":0.71,"wind_speed":3.49,"wind_deg":107,"wind_gust":5.75,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"clouds":3,"pop":0,"uvi":2.59},{"dt":1644321600,"sunrise":1644305782,"sunset":1644343352,"moonrise":1644319800,"moonset":1644281820,"moon_phase":0.25,"temp":{"day":17.33,"min":8.84,"max":18.69,"night":11.51,"eve":13.43,"morn":8.84},"feels_like":{"day":16.14,"night":10.26,"eve":12.32,"morn":7.32},"pressure":1026,"humidity":39,"dew_point":2.71,"wind_speed":2.68,"wind_deg":124,"wind_gust":6.18,"weather":[{"id":800,"main":"Clear","description":"clear sky","icon":"01d"}],"clouds":0,"pop":0,"uvi":3},{"dt":1644408000,"sunrise":1644392115,"sunset":1644429824,"moonrise":1644407940,"moonset":1644371940,"moon_phase":0.28,"temp":{"day":17.75,"min":10.34,"max":18.5,"night":14.17,"eve":15.25,"morn":10.34},"feels_like":{"day":16.7,"night":13.18,"eve":14.35,"morn":9.02},"pressure":1027,"humidity":43,"dew_point":4.69,"wind_speed":3.26,"wind_deg":133,"wind_gust":6.17,"weather":[{"id":804,"main":"Clouds","description":"overcast clouds","icon":"04d"}],"clouds":88,"pop":0,"uvi":3},{"dt":1644494400,"sunrise":1644478447,"sunset":1644516296,"moonrise":1644496380,"moonset":1644461940,"moon_phase":0.31,"temp":{"day":16.66,"min":13.48,"max":16.84,"night":15.49,"eve":16.01,"morn":13.52},"feels_like":{"day":15.77,"night":14.82,"eve":15.31,"morn":12.49},"pressure":1026,"humidity":53,"dew_point":6.71,"wind_speed":5.27,"wind_deg":115,"wind_gust":10.08,"weather":[{"id":500,"main":"Rain","description":"light rain","icon":"10d"}],"clouds":100,"pop":0.36,"rain":0.43,"uvi":3}]}';
const obj = JSON.parse(str)
const getData = ({ dt, temp, weather: [{ description, icon }] }) => {
return {dt, temp, description, icon};
}
const {current, daily} = obj;
const result = [getData(current)]
daily.forEach(obj=>result.push(getData(obj)));
console.log(result)
Your error is that you define a variable result where you try to map the contents to something but map is only used to loop through arrays and the url2.current is not an array.
The way to get your values is by using the keys for all your values except the weather which is in fact an array.
So for most keys you can extract them like this:
const url2 = JSON.parse(url);
const day = url2.current.dt;
I don't know what the expected output for weather is but if you try to output everything in a string that contains html you could do something like the following:
const weather = url2.current.weather.map((w) => `<span>${w.icon}</span>\n<p>${w.description}</p>`).join("\n");
You can replace the HTML tags with what works for you and just output weather.
How to organize conditionally created gremlin query (JavaScript)
I am a beginner in gremlin with TinkerPop and have this query in JavaScript. It works fine. Since this question is not related to the query but rather how to structure it, so I don't think a graph is be needed for this.
This query solves two questions:
What restaurant near me with a specific cuisine is the highest rated?
-- set cuisines, queryOrder, limit=1 and restaurantFilter
Which restaurants are the ten highest-rated restaurants near me?
-- set limit=10 and queryOrder
// usuals
let dc = new DriverRemoteConnection(`ws://localhost:8182/gremlin`, {});
const graph = new Graph();
const __ = gremlin.process.statics;
const p = gremlin.process.P;
const order = gremlin.process.order;
const g = graph.traversal().withRemote(dc);
// limit for objects returned.
const limit: number | undefined = undefined;
// order on reviews
const queryOrder = order.desc;
// restaurant filters
const restaurantFilter = {location: "x"}
//26, 32
const cuisines = [26];
function convertObjectToGremlinPropertyFilter(
data: Record<string, any>,
g: gremlin.process.GraphTraversal
) {
return Object.keys(data).forEach((key) => {
g.has(key, data[key]);
});
}
async function init() {
const result = g.V().hasLabel("restaurant");
convertObjectToGremlinPropertyFilter(restaurantFilter, result);
const reviewQuery = __.inE("review").has("value", p.gte(2));
if (order) {
reviewQuery.order().by("value", order.desc);
}
reviewQuery.valueMap().fold();
if (cuisines.length) {
console.log("Filtering cuisines");
result.where(
__.outE("serves")
.inV()
.hasLabel("cuisine")
.hasId(p.within(...cuisines))
);
}
result
.project("restaurants", "reviews")
.by(
__.project("info", "cuisines")
.by(__.valueMap(true))
.by(
__.outE("serves").unfold().inV().hasLabel("cuisine").valueMap().fold()
)
)
.by(reviewQuery);
if (limit) {
result.limit(limit);
}
const dataRaw = await result.toList();
await dc.close();
const data = JSON.stringify(normalizeData(dataRaw as any), null, 2);
fs.writeFileSync("./data.json", data);
}
For now, I've hardcoded the limit, queryOrder, and cuisines array. And creating the query on the condition applied to them.
As you can see, this query is kind of hard to maintain and interpret what it is doing. I've done the research and didn't find any resources related to structuring conditional queries. How can I structure these kinds of queries?
Original Query:
g.V()
.hasLabel("restaurant")
.has("location", "karachi")
// Check for cuisines
.where(
__.outE("serves")
.inV()
.hasLabel("cuisine")
.hasId(p.within(id1,id2))
)
// build the object
.project("info", "cuisines", "reviews")
.by(__.elementMap())
.by(__.outE("serves").inV().hasLabel("cuisine").elementMap().fold())
// Get reviews which are greater than 1 and order by highest review
.by(
__.inE("review")
.has("value", p.gte(1))
.order()
.by("value", queryOrder)
.valueMap(true)
.fold()
)
.limit(10)
.toList();
Thanks in advance for your answer!
Cheerio Not Parsing HTML Correctly
I've got an array of rows that I've parsed out of a table from html, stored in a list. Each of the rows in the list is a string that looks (something) like this:
["<td headers="DOCUMENT" class="t14data"><a target="6690-Exhibit-C-20190611-1" href="http://www.fara.gov/docs/6690-Exhibit-C-20190611-1.pdf" class="doj-analytics-processed"><span style="color:blue">Click Here </span></a></td><td headers="REGISTRATIONNUMBER" class="t14data">6690</td><td headers="REGISTRANTNAME" class="t14data">SKDKnickerbocker LLC</td><td headers="DOCUMENTTYPE" class="t14data">Exhibit C</td><td headers="STAMPED/RECEIVEDDATE" class="t14data">06/11/2019</td>","<td headers="DOCUMENT" class="t14data"><a target="5334-Supplemental-Statement-20190611-30" href="http://www.fara.gov/docs/5334-Supplemental-Statement-20190611-30.pdf" class="doj-analytics-processed"><span style="color:blue">Click Here </span></a></td><td headers="REGISTRATIONNUMBER" class="t14data">5334</td><td headers="REGISTRANTNAME" class="t14data">Commonwealth of Dominica Maritime Registry, Inc.</td><td headers="DOCUMENTTYPE" class="t14data">Supplemental Statement</td><td headers="STAMPED/RECEIVEDDATE" class="t14data">06/11/2019</td>"]
The code is pulled from the page with the following page.evaluate function using puppeteer.
I'd like to then parse this code with cheerio, which I find to be simpler and more understandable. However, when I pass each of the strings of html into cheerio, it fails to parse them correctly. Here's the current function I'm using:
let data = res.map((tr) => {
let $ = cheerio.load(tr);
const link = $("a").attr("href");
const number = $("td[headers='REGISTRATIONNUMBER']").text();
const name = $("td[headers='REGISTRANTNAME']").text();
const type = $("td[headers='DOCUMENTTYPE']").text();
const date = $("td[headers='STAMPED/RECEIVEDDATE']").text();
return { link, number, name, type, date };
});
For some reason, only the "a" tag is working correctly for each row. Meaning, the "link" variable is correctly defined, but none of the other ones are. When I use $("*") to return a list of what should be all of the td's, it returns an unusual node list:
What am I doing wrong, and how can I gain access to the td's with the various headers, and their text content? Thanks!
It usually looks more like this:
let data = res.map((i, tr) => {
const link = $(tr).find("a").attr("href");
const number = $(tr).find("td[headers='REGISTRATIONNUMBER']").text();
const name = $(tr).find("td[headers='REGISTRANTNAME']").text();
const type = $(tr).find("td[headers='DOCUMENTTYPE']").text();
const date = $(tr).find("td[headers='STAMPED/RECEIVEDDATE']").text();
return { link, number, name, type, date };
}).get();
Keep in mind that cheerio map has the arguments reversed from js map.
I found the solution. I'm simply returning the full html through puppeteer instead of trying to get individual rows, and then using the above suggestion (from #pguardiario) to parse the text:
const res = await page.evaluate(() => {
return document.body.innerHTML;
});
let $ = cheerio.load(res);
let trs = $(".t14Standard tbody tr.highlight-row");
let data = trs.map((i, tr) => {
const link = $(tr).find("a").attr("href");
const number = $(tr).find("td[headers='REGISTRATIONNUMBER']").text();
const registrant = $(tr).find("td[headers='REGISTRANTNAME']").text();
const type = $(tr).find("td[headers='DOCUMENTTYPE']").text();
const date = moment($(tr).find("td[headers='STAMPED/RECEIVEDDATE']").text()).valueOf().toString();
return { link, number, registrant, type, date };
});