1661925848
Bonjour lecteurs, Aujourd'hui, nous allons découvrir les crochets et les balises, leur signification et comment les utiliser dans Cypress.
L'outil Cypress est une solution d'automatisation des tests JavaScript utilisée pour l'automatisation Web .
Il permet aux équipes de créer des scripts d'automatisation des tests Web. Cette solution vise à aider les développeurs frontaux et les ingénieurs en automatisation des tests à écrire des tests Web dans le langage Web JavaScript pour l'automatisation des tests Web.
Cypress fournit également des crochets (empruntés à Mocha). Ceux-ci sont utiles pour définir les conditions que vous souhaitez exécuter avant un ensemble de tests ou avant chaque test .
Ils aident également à nettoyer les conditions après une série de tests ou après chaque test.
Certains des crochets communs sont les suivants -
Dans l'exemple d'extrait de code ci-dessus
La dernière étape exécutée est APRÈS TOUT. Tous deux n'ont couru qu'une seule fois.
L'étape exécutée sous BEFORE EACH s'est exécutée deux fois (avant chaque TEST BODY).
De plus, l'étape exécutée sous AFTER EACH s'est exécutée deux fois (après chaque TEST BODY).
Les deux blocs It sont exécutés dans l'ordre dans lequel ils sont implémentés.
/* Command for Auto Suggestions in Cypress */
/// <reference types="Cypress" />
describe('Hooks Demonstration', function()
{
before(function() {
/* executes once prior all tests in it block */
cy.log("Before hook")
})
after(function() {
/* executes once post all tests in it block */
cy.log("After hook")
})
beforeEach(function() {
/* executes prior each test within it block */
cy.log("BeforeEach hook")
})
afterEach(function() {
/* executes post each test within it block */
cy.log("AfterEach hook")
})
it('First Test', function() {
cy.log("First Test")
})
it('Second Test', function() {
cy.log("Second Test")
})
})
Pour afficher la sortie dans Cypress Ouvrez le terminal et tapez la commande suivante
npx cypress open
puis sélectionnez le fichier de destination
Ensuite, la sortie sera affichée comme suit : -
Cypress a 2 balises .only et .skip.
La balise .only est utilisée pour exécuter le bloc auquel elle est étiquetée
La balise .skip est utilisée pour exclure le bloc auquel elle est étiquetée.
/* Command for Auto Suggestions in Cypress */
/// <reference types="Cypress" />
describe('Tags Demonstration', function()
/* it block with tag .only */
{
it.only('First Test', function() {
cy.log("First Test")
})
/* it block with tag .only */
it.only('Second Test', function() {
cy.log("Second Test")
})
/* Block without .only tag */
it('Third Test', function() {
cy.log("Third Test")
})
})
Dans le code de l'exemple ci-dessus, la balise .only exécute le bloc auquel elle est associée et ignore le bloc sans la balise .only.
Dans l'exemple de code ci-dessus, montrez que le bloc (troisième test) avec la balise .skip a été ignoré de l'exécution.
describe('Skip tag', function()
{
/* It Block without skip Tag */
it('First Test', function() {
cy.log("First Test")
})
/* It Block without skip Tag */
it('Second Test', function() {
cy.log("Second Test")
})
/*it block with .skip Tag */
it.skip('Third Test', function() {
cy.log("Third Test")
})
})
Lien : https://blog.knoldus.com/how-to-use-hooks-and-tags-in-cypress/
#cypress #javascript
1650364405
Pick the right hash tags and enjoy likes and comments on the post.
Making engaging reels about the travels, fashion, fitness, contest, and more, the results are not satisfactory. All you get is a few likes, comments and nothing else. You need the engagement on your post to bring more business to you. How can you bring interaction to the content? Indeed you can buy real instagram likes uk to get high rates. But how can you make the Instagram world hit the likes button under the post? You need to boost the reach. You must present your content to the right audiences to get higher interaction rates.
Your Instagram #tags are the power tool that works like magic for influencers and businesses. The blue text with # is the magical option that increases the viability of the posts. The Instagram algorithm keeps on changing, and now the engagement on the post is a must to place the content at a higher place in followers’ feed. For this, you require more likes and comments under the post. For this, you must lift the reach by using perfect tags.
Why are hashtags popular on Instagram?
Let me clear it for you. Do you know how many active users this digital handle has? It is about 2B and more, and the count is changing every day. Each of the followers must be posting something on the handles. Thousands of profit must be of a similar niche as yours. If you are the business and running the clothing brands, then many other companies deal with clothes. So, customers or followers have many choices to choose from. Why would they follow you or purchase from your companies?
Your reply must be that you offer quality material at the best rates. But how does anyone finds out about you? Indeed you can buy active instagram followers uk to bring more fans, but how can you boost the reach of your voices. All businesses must represent their product to the right audiences, but how?
Of course, hashtags.
Table of Contents
There are some basic tags that you can use, but if you are more specific about your approach, choose the relevant tags for your business. Your #tags game must be industry oriented. So in this part, you will learn about the famous tags as per various niches.
Tags for Travel Niche
Indeed this niche is famous on Instagram, and influencers earn handsome amounts. These #tags are best for you if you possess a similar place. Use them smartly and rightly!
#TravelPhotography
#PicOfTheDay
#NaturePhotography
#TravelBlogger
#beautiful
#landscape
#adventure
#explore
#instatravel
#photo
#trip
#summer
#travelgram
#photography
#art
#travel
#wanderlust
#nature
#instagood
#PhotoOfTheDay
After thee travel next most famous niche is fashion. You can earn handsome amount form it. But for this you need to pick the right tags form the following:
So, what to boost your fitness business then uses these tags and enjoys likes:
Best Tags for Giveaway
So, are you arranging the giveaway and want a maximum number of people to participate? If so, then it is time to boost the reach vis using these tags
Are you the reels queen, or do you want to become the one? Then these below mentioned tags are for you. But don’t go for all of them because you can use only thirty of them. Pick it smartly!
Do you love to eat and what to share your experience with another foodie on Instagram? If you are visiting any cafe, then before uploading, always add one of the following tags!
There is a long list of each niche, and you can use all of them. If you are confused about what to pick and whatnot, here is the guide to choosing the perfect tag.
Study your competition. Review their post and study the tags they are using.
1661925848
Bonjour lecteurs, Aujourd'hui, nous allons découvrir les crochets et les balises, leur signification et comment les utiliser dans Cypress.
L'outil Cypress est une solution d'automatisation des tests JavaScript utilisée pour l'automatisation Web .
Il permet aux équipes de créer des scripts d'automatisation des tests Web. Cette solution vise à aider les développeurs frontaux et les ingénieurs en automatisation des tests à écrire des tests Web dans le langage Web JavaScript pour l'automatisation des tests Web.
Cypress fournit également des crochets (empruntés à Mocha). Ceux-ci sont utiles pour définir les conditions que vous souhaitez exécuter avant un ensemble de tests ou avant chaque test .
Ils aident également à nettoyer les conditions après une série de tests ou après chaque test.
Certains des crochets communs sont les suivants -
Dans l'exemple d'extrait de code ci-dessus
La dernière étape exécutée est APRÈS TOUT. Tous deux n'ont couru qu'une seule fois.
L'étape exécutée sous BEFORE EACH s'est exécutée deux fois (avant chaque TEST BODY).
De plus, l'étape exécutée sous AFTER EACH s'est exécutée deux fois (après chaque TEST BODY).
Les deux blocs It sont exécutés dans l'ordre dans lequel ils sont implémentés.
/* Command for Auto Suggestions in Cypress */
/// <reference types="Cypress" />
describe('Hooks Demonstration', function()
{
before(function() {
/* executes once prior all tests in it block */
cy.log("Before hook")
})
after(function() {
/* executes once post all tests in it block */
cy.log("After hook")
})
beforeEach(function() {
/* executes prior each test within it block */
cy.log("BeforeEach hook")
})
afterEach(function() {
/* executes post each test within it block */
cy.log("AfterEach hook")
})
it('First Test', function() {
cy.log("First Test")
})
it('Second Test', function() {
cy.log("Second Test")
})
})
Pour afficher la sortie dans Cypress Ouvrez le terminal et tapez la commande suivante
npx cypress open
puis sélectionnez le fichier de destination
Ensuite, la sortie sera affichée comme suit : -
Cypress a 2 balises .only et .skip.
La balise .only est utilisée pour exécuter le bloc auquel elle est étiquetée
La balise .skip est utilisée pour exclure le bloc auquel elle est étiquetée.
/* Command for Auto Suggestions in Cypress */
/// <reference types="Cypress" />
describe('Tags Demonstration', function()
/* it block with tag .only */
{
it.only('First Test', function() {
cy.log("First Test")
})
/* it block with tag .only */
it.only('Second Test', function() {
cy.log("Second Test")
})
/* Block without .only tag */
it('Third Test', function() {
cy.log("Third Test")
})
})
Dans le code de l'exemple ci-dessus, la balise .only exécute le bloc auquel elle est associée et ignore le bloc sans la balise .only.
Dans l'exemple de code ci-dessus, montrez que le bloc (troisième test) avec la balise .skip a été ignoré de l'exécution.
describe('Skip tag', function()
{
/* It Block without skip Tag */
it('First Test', function() {
cy.log("First Test")
})
/* It Block without skip Tag */
it('Second Test', function() {
cy.log("Second Test")
})
/*it block with .skip Tag */
it.skip('Third Test', function() {
cy.log("Third Test")
})
})
Lien : https://blog.knoldus.com/how-to-use-hooks-and-tags-in-cypress/
#cypress #javascript
1670915040
Reporting and visualizing data is crucial to businesses of all sizes. Dashboards allow users to efficiently access and use this data for a range of business operations. In this article, Toptal Full-stack Engineer Dylan Golow demonstrates how he created a powerful dashboard for telemedicine using Airtable, Typeform, and React.
Whether a company is a large enterprise or a budding startup, collecting data from users and customers, and reporting on or visualizing that data is crucial to the business.
I recently worked with a telemedicine startup based in Brazil. Its mission is to provide remote care and monitoring by connecting patients to medical professionals and health coaches. The core need was to create an interface for the coaches and health professionals to easily review a patient’s information and most important metrics related to their particular situation: a dashboard.
Enter Typeform and Airtable.
Typeform is one of the go-to data collection tools that enables responsive web experiences for users completing a survey. It also comes with several features that make surveys more intelligent, especially when combined:
Surveys can be shared via URLs that can be pre-seeded with values for the hidden fields, which can then be used to implement logic jumps and alter the behavior of the survey for the user with the link.
Airtable is a spreadsheet-database hybrid and a collaborative cloud platform. Its focus on point and click functionality means that non-technical users can configure it without coding. Airtable has a multitude of use cases in any business or project.
You can use an Airtable Base for:
There are many more potential use cases. You can explore Airtable case studies here.
If you are not familiar with Airtable, the conceptual data model breaks down like this:
Apart from providing a cloud-hosted database with familiar spreadsheet features, here are some of the reasons the platform is so powerful:
For non-technical users, Airtable provides:
For developers, Airtable provides:
You can learn more on Airtable here.
Typeform surveys were already configured by the client, and the next step was to plan how that data would land in Airtable and then be turned into a dashboard. There are many questions to consider when creating dashboards on top of any database: How should we structure the data? What data will need to be processed prior to visualization? Should we sync the Base with Google Sheets and use Google Data Studio? Should we export and find another third-party tool?
Fortunately for developers, not only does Airtable provide automations and scripting to handle the data processing steps, but it has also made it possible to build custom applications and interfaces on top of an Airtable Base with Airtable Apps.
Custom Apps in Airtable have been around since the Airtable Blocks SDK was released at the beginning of 2018, and were recently renamed to Apps. The release of Blocks was huge in that it meant that creators now had the ability to develop, as Airtable puts it, “An infinitely recombinable Lego kit.”
More recently with the change to apps, the Airtable Marketplace made it possible to share apps publicly, as well.
Airtable Apps provide businesses with an infinitely recombinable Lego kit they can tailor to their needs.
In order to build a custom app in Airtable, a JavaScript developer must know how to use React, one of the most popular JavaScript libraries for building user interfaces. Airtable provides a component library of functional React components and hooks, which are a huge help for rapidly building a consistent UI and determining how you will manage state within the app and its components.
Check out Airtable’s Getting Started article for more information and Airtable on GitHub for examples of apps.
After reviewing the dashboard mockups with the client team, the types of data to be used were clear. We would need a series of dashboard components that would display as text on the dashboard and charts of different metrics that could be tracked over time.
Coaches and medical professionals needed to be able to build a custom dashboard for each patient, so we needed a flexible way to add and remove charts. Other static data relative to each patient would be displayed no matter the patient selected.
In this case, the dashboard sections boiled down to:
One way to approach all of the sections except for charts would be to hard-code all the columns for objectives, medicine use, and family history into the dashboard. However, that would not allow the client team to add new questions to a Typeform survey nor add a new column to an Airtable table to present that data on the dashboard without having a developer update the custom app.
A more elegant and extensible solution to this challenge was finding a way to tag columns as relevant to a particular dashboard section and retrieve those columns using the metadata that Airtable exposes when using the Table and Field models.
This was achieved using Field Descriptions as a place to tag a column from the Table as relevant to a dashboard section to be displayed to the user. Then, we could ensure only those with the Creator role (the administrators) for the Base had the ability to modify these Field Descriptions to alter what appears on the dashboard. To illustrate this solution, we will focus mostly on the items in General Information and how to present Charts.
Given the dashboard sections, it made sense to make reusable tags for some sections and specific tags for certain columns. For items like patient name, email, and phone number, #NAME#
, #EMAIL#
, and #PHONE#
were added to each Field’s description, respectively. That would allow that information to be retrieved via the Table metadata like this:
const name = table ? table.fields.filter(field => field.description?.includes("#NAME#"))
For areas of the dashboard that would need to draw from many tagged columns we would have the following tags for each dashboard section:
In addition, it was important to separate the name of a column in a Table from the label it would receive on the dashboard, so anything that received a #TAG#
would also have the ability to receive two #LABEL#
tags in its Field Description. A Field Description would look like this:
In case the #LABEL#
tags are missing, we will display the column name from the Table.
We can parse out the label set in the description with a simple function like this after retrieving the field with the previous code example:
// utils.js
export const setLabel = (field, labelTag = "#LABEL#") => {
const labelTags = (field.description?.match(new RegExp(labelTag, "g")) || []).length;
let label;
if (labelTags === 2) label = field.description?.split(`${labelTag}`)[1];
if (!label || label?.trim() === '') label = field.name;
return {...field, label, name: field.name, description: field.description};
}
With this #TAG#
system, we achieve three main things:
In React, we use state and pass it to components as props in order to re-render that component if its state changes. Normally this is tied to an API call that fuels a dashboard component, but in Airtable we already have all the data and simply need to filter what we are displaying based on which patient we are viewing. In addition, if we use state, it will not persist the data past a refresh in the dashboard itself.
So, how can we persist a value past refresh to keep a dashboard filtered? Fortunately, Airtable provides a hook for this called useGlobalConfig in which it maintains a key-value store for an app installation on a dashboard. We simply need to implement the logic of retrieving values from this key-value store when the app loads to fuel our dashboard components.
What is even more useful about using the useGlobalConfig
hook is that when its values are set, the dashboard component and its child components re-render, so you can use the Global Config like you would use a state variable in a typical React implementation.
Airtable provides examples of charts with its Simple Chart App, which uses React Charts, a React wrapper on Chart.js (chart-ception).
In the Simple Chart App, we have one chart for the whole app, but in our Dashboard App, we need the ability for the user to add and remove their own charts from their own dashboard. What’s more, in discussion with the client team, it seems that certain metrics would be better viewed on the same chart (like readings for diastolic and systolic blood pressure).
With this we have the following items to tackle:
This is where the power of the Global Config comes in handy, as we can use the key-value store to maintain the selected metrics and anything else about our list of charts. As we configure a chart in the UI, the chart component itself will be re-rendered due to updates to the Global Config. For the charting section of the dashboard, here is a gist with the components for reference, focusing on dashboard charts.js and single chart.js.
The table passed to each chart is what is used for its metadata to find the fields, whereas the records passed have already been filtered by the patient selected at the top-level dashboard component that imports dashboard_charts/index.js
.
Note that the fields listed as options in the dropdown for a chart are pulled using the #CHART#
tag we mentioned before, with this line in a useEffect
hook:
// single_chart/index.js
…
useEffect(() => {
(async () => {
...
if (table) {
const tempFieldOptions = table.fields.filter(field =>
field.description?.includes('#CHART#')).map(field => {
return {
...setLabel(field),
value: field.id
}
});
setFieldSelectOptions([...tempFieldOptions]);
}
})();
}, [table, records, fields]);
...
The code above shows how the setLabel
function referenced earlier is used with the #TAG#
to add anything provided in the #LABEL#
tags and display it for the option in the field dropdown.
Our chart component takes advantage of the multi-axis capabilities provided by Chart.js, which is shown with React Charts. We just extended it via the UI with the user’s ability to add a dataset and a chart type (line or bar).
The key to using Global Config, in this case, is to know that each key can only hold a string | boolean | number | null | GlobalConfigArray | GlobalConfigObject (see Global Config Value reference).
We have the following items to maintain per chart:
To manage this, I found it most convenient to stringify this data as an object instead of setting Global Config keys and values all the way down. See the example below (globalConfig.json in the gist), which includes Global Config values to filter records by the patient and some related variables used to support a typeahead filtering component (thanks to react-bootstrap-typeahead):
{
"xCharts": {
"chart-1605425876029": "{\"fields\":[{\"field\":\"fldxLfpjdmYeDOhXT\",\"chartOption\":\"line\",\"color\":\"blueBright\",\"hex\":\"#2d7ff9\"},{\"field\":\"fldqwG8iFazZD5CLH\",\"chartOption\":\"line\",\"color\":\"blueLight1\",\"hex\":\"#9cc7ff\"}],\"chartTitle\":\"Gráfico criado em 11/15/2020, 2:37:56 AM\"}",
"chart-1605425876288": "{\"fields\":[{\"field\":\"fldGJZIdRlq3V3cKu\",\"chartOption\":\"line\",\"color\":\"blue\",\"hex\":\"#1283da\"}],\"chartTitle\":\"Gráfico criado em 11/15/2020, 2:37:56 AM\"}",
"chart-1605425876615": "{\"fields\":[{\"field\":\"fld1AnNcfvXm8DiNs\",\"chartOption\":\"line\",\"color\":\"blueLight1\",\"hex\":\"#9cc7ff\"},{\"field\":\"fldryX5N6vUYWbdzy\",\"chartOption\":\"line\",\"color\":\"blueDark1\",\"hex\":\"#2750ae\"}],\"chartTitle\":\"Gráfico criado em 11/15/2020, 2:37:56 AM\"}",
"chart-1605425994036": "{\"fields\":[{\"field\":\"fld9ak8Ja6DPweMdJ\",\"chartOption\":\"line\",\"color\":\"blueLight2\",\"hex\":\"#cfdfff\"},{\"field\":\"fldxVgXdZSECMVEj6\",\"chartOption\":\"line\",\"color\":\"blue\",\"hex\":\"#1283da\"}],\"chartTitle\":\"Gráfico criado em 11/15/2020, 2:39:54 AM\"}",
"chart-1605430015978": "{\"fields\":[{\"field\":\"fldwdMJkmEGFFSqMy\",\"chartOption\":\"line\",\"color\":\"blue\",\"hex\":\"#1283da\"},{\"field\":\"fldqwG8iFazZD5CLH\",\"chartOption\":\"line\",\"color\":\"blueLight1\",\"hex\":\"#9cc7ff\"}],\"chartTitle\":\"New Chart\"}",
"chart-1605430916029": "{\"fields\":[{\"field\":\"fldCuf3I2V027YAWL\",\"chartOption\":\"line\",\"color\":\"blueLight1\",\"hex\":\"#9cc7ff\"},{\"field\":\"fldBJjtRkWUTuUf60\",\"chartOption\":\"line\",\"color\":\"blueDark1\",\"hex\":\"#2750ae\"}],\"chartTitle\":\"Gráfico criado em 11/15/2020, 4:01:56 AM\"}",
"chart-1605431704374": "{\"fields\":[{\"field\":\"fld7oBtl3iiHNHqoJ\",\"chartOption\":\"line\",\"color\":\"blue\",\"hex\":\"#1283da\"}],\"chartTitle\":\"Gráfico criado em 11/15/2020, 4:15:04 AM\"}"
},
"xPatientEmail": "elle@gmail.com",
"xTypeaheadValue": "Elle Gold (elle@gmail.com)",
"xSelectedValue": "[{\"label\":\"Elle Gold (elle@gmail.com)\",\"id\":\"elle@gmail.com\",\"name\":\"Elle Gold\",\"email\":\"elle@gmail.com\"}]"
}
Note: All data contained above, and the data included in the animations below, are not real patient data.
Here’s a look at the final result:
In order to filter by patient, we needed a way to select a patient and then filter the records based on this patient. In this section, we review how this was achieved.
For the typeahead, react-bootstrap-typeahead was an easy choice, as the only steps left were preparing the options for the typeahead, mixing it with an Airtable input for styling and loading bootstrap, and some other styles for our menu. Dropping components from your favorite component libraries into an Airtable app is not as straightforward as in typical React web development; however, there are only a few extra steps to get everything to look the way you would expect.
Here is the final result:
To render the Airtable input and keep all our styles consistent, react-bootstrap-typeahead comes with a renderInput prop. See more on how to modify the rendering of the component here.
For the bootstrap styles and to override our menu items, the following two utils were used from Airtable:
See frontend.js in the gist for an excerpt of the typeahead implementation.
This line was used to load bootstrap globally:
// frontend/index.js
loadCSSFromURLAsync('https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css');
You will notice some added logic for things like handling style changes on hover or restyling links (<a></a>
) to get the familiar bootstrap look and feel. This also includes the handling of setting the Global Config values for the typeahead and filtering of records so that if a user leaves their dashboard, refreshes their page, or would like to share this dashboard with others, the app persists the selected patient in the Dashboard App. This also allows the users to install multiple copies of this same app side by side in the same Airtable Dashboard with different patients selected or with different charts.
Keep in mind that a dashboard in Airtable is also available to all users of the Base, so these custom app installations on a dashboard will be filtered to the same patients and charts no matter which users are looking at the dashboard at the same time.
Let’s recap what we’ve covered for far:
#TAG#
system can be used to modify the dashboard without requiring code changes by developers. There are better and worse use cases for this. Be sure to limit permissions to the Creator role if using this strategy.loadCSSFromString
and loadCSSFromURLAsync
utils provided by Airtable.Use a more sophisticated middleware
With Typeform and Airtable, it’s easy and cost-effective to configure the mapping of questions to columns.
However, there is one big drawback: If you have a survey of more than 100 questions mapped to Airtable and you need to modify a mapping, you must delete the entire mapping and start again. This is clearly not ideal, but for a free integration, we can deal with this.
Other options would be having a Zapier (or similar) integration manage the data between Typeform and Airtable.Then you could modify the mapping of any question to any column without starting from scratch. This would have its own cost considerations to factor in as well.
Hopefully, some of the lessons learned and communicated here will help others who are looking to build solutions with Airtable.
Finally, you can check out the gist with the files discussed in this article.
Original article source at: https://www.toptal.com/
1648194905
Get the SEO ticket to board on the ship of success. Indeed many businesses buy instagram likes and views to increase their reach and improve their visibility. But have you ever thought about Search Engine Optimization here? It is the game-changer for the social media handles. Chances are nigh that your rivals are not using this tech to get high reach. Most of the businesses are after buying Instagram services and ignoring the SEO. Here you will learn all about Instagram seo and how it boosts visibility.
A STRONG Search Engine Optimization plan is a great medium to boost the reach of this photo-sharing app. Brushing up SEO’s skill always makes businesses and brands more search-friendly Ans can support links and create community. From alt text to tags, you wil learn all about them and build connections with Seo in the digital marketing plan. So, are you ready?
Seo on this handle is all regarding making your content so that it is searchable in many places, from suggesting content to search results area. It is a vital plan for boosting your discoverability. For many users who finds your post, the chances are more that you gain more uk instagram followers and create a reliable community on Instagram. But how does this SEO works?
Remember the Instagram algorithm studies each piece of the content on this app. It gathers all info and finds what the content is all about and who can see it more engaging. So, this algorithm performs its works automatically, and many means are there you can drive it in an optimized direction. In this blog, you will find the top tips to boost discoverability. So, keep reading!
Here is the next thing, why is Seo vital for your business or Instagram profile? Instagram has around 1b active followers, and it holds an essential part in the discovery and reaches on these handles.
The search page helps you find the right content as per your desire.
It is the same as searching your anything on GOOGLE. There you use particular keywords or phrases to find the content. So same is the explore page where you look for various profiles, locations and #tags.
By customizing this photo-sharing app content, Instagrammer can hit into what the target people is looking for.
But it has more for you, man!
So now you understand why it is essential for your business and the Instagram profile to using SEO. It works like the magic portion that skyrockets the visibility.
Following is the top means to increase Discoverability:
You search on the explore page via #tags usernames, profiles, tags, and location. Now that gave has changed, you can find the profile of the things via K.Ws.
Writing suitable, clarifying captions utilizing choice k.ws can seriously affect your post’s visibility.
And while some k.ws can arrive from a profile bio, username, and name, they largely come from a caption you type.
By utilizing descriptive, relevant keywords in the Instagram text, you’re likely to arise on an Explore area and get eyes on the content.
If you like to expand your uk instagram followers count and utilise this handle to explore your benefits, you have to optimize the Instagram account.
If you desire to rank for the precise k.ws, it is best to add that k.w into both username and name since these are searchable.
Remember, SEO moves around the proper usage of keywords. You need to study your keyword and use them in your profile name.
Are you unable to for the suitable k.w into the username? Here is the answer, incorporating K.Ws to the name section can be of the same value as your name
using targeted and relevant #tags on stories and posts are still a great medium to discover by novel Instagram people. If you run a public profile, then add tags to the post.
SEO also holds a significant part in what settles on people’s suggested content. It is a space devoted to showing the collection of content from the profile you never follow.
Also, as per this handle, these recommendations are “founded on content from a profile that you follow and stuff same you share, save or like.”
With a powerful photo-sharing app SEO plan, you can guarantee your content are appeared inappropriate searches and in proposed content feeds.
So it is the top tips for exploring relevant people and providing your post the visibility it earns
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Hello Readers, Today we will learn about Hooks and Tags their significance, and how to use them in Cypress.
The Cypress tool is a JavaScript testing automation solution used for web automation.
It enables teams to create web test automation scripts. This solution aims to facilitate frontend developers and test automation engineers to write web tests in the web language that is JavaScript for web test automation.
Cypress also provides hooks (borrowed from Mocha). These are helpful to set conditions that you want to run before a set of tests or before each test.
They’re also helping to clean up conditions after a set of tests or after each test.
Some of the common hooks are as follows −
In the above Example code snippet
The last executed step is the AFTER ALL. Both of them ran only once.
The step executed under BEFORE EACH ran twice (before each TEST BODY).
Also, the step executed under AFTER EACH ran twice (after each TEST BODY).
Both It blocks are executed in the order, in which they are implemented.
/* Command for Auto Suggestions in Cypress */
/// <reference types="Cypress" />
describe('Hooks Demonstration', function()
{
before(function() {
/* executes once prior all tests in it block */
cy.log("Before hook")
})
after(function() {
/* executes once post all tests in it block */
cy.log("After hook")
})
beforeEach(function() {
/* executes prior each test within it block */
cy.log("BeforeEach hook")
})
afterEach(function() {
/* executes post each test within it block */
cy.log("AfterEach hook")
})
it('First Test', function() {
cy.log("First Test")
})
it('Second Test', function() {
cy.log("Second Test")
})
})
To display output in Cypress Open the terminal and type the following command
npx cypress open
then select the destination file
Then the Output will be Displayed as Follows:-
Cypress has 2 tags .only and .skip.
The .only tag is utilized to execute it block to which it is tagged
The .skip tag is utilized to exclude it block to which it is tagged.
/* Command for Auto Suggestions in Cypress */
/// <reference types="Cypress" />
describe('Tags Demonstration', function()
/* it block with tag .only */
{
it.only('First Test', function() {
cy.log("First Test")
})
/* it block with tag .only */
it.only('Second Test', function() {
cy.log("Second Test")
})
/* Block without .only tag */
it('Third Test', function() {
cy.log("Third Test")
})
})
In the Above Example code, the .only tag executes the block to which it is tagged and ignores the block without the .only tag.
In the above example code show that it block (Third Test) with the .skip tag got skipped from the execution.
describe('Skip tag', function()
{
/* It Block without skip Tag */
it('First Test', function() {
cy.log("First Test")
})
/* It Block without skip Tag */
it('Second Test', function() {
cy.log("Second Test")
})
/*it block with .skip Tag */
it.skip('Third Test', function() {
cy.log("Third Test")
})
})
Link: https://blog.knoldus.com/how-to-use-hooks-and-tags-in-cypress/
#cypress #javascript