Individual skill usage subsections in SUSI Skill CMS

In SUSI.AI Skills CMS several interactive skill related statistics are displayed on the skill page for each skill which includes user ratings, ratings over time, user feedback and skill usage data displayed interactively. The skill usage section is further subdivided to get more insight into how the skill has been used and from where. Therefore we have three subsections which display Time wise skill usage, device wise usage, and country wise usage. All this data can help evaluate which devices are mostly using the skill or data like in which country the skill is more popular than others. So in this post, we mainly discuss the UI of how these sections are implemented.

Implementation

Adding a Card component to the skill page component at the bottom of the skill page component.

<SkillUsageCard
 skill_usage={this.state.skill_usage}
 device_usage_data={this.state.device_usage_data}
 countryWiseSkillUsage={this.state.countryWiseSkillUsage}
/>

 

In the render function of the newly made component, we import the Paper component from material-ui and render it at the top to contain the subsections to give it a card-like UI.

<div>
   <Paper className="margin-b-md margin-t-md">
           ...
   </Paper>
</div>

 

Create div for the time wise skill usage. Calculate total skill usage for displaying the total skill usage count and also it helps to decide whether we need to render the section or not. So if the total skill usage by time count is greater than zero then render the line chart for visual analysis and display the total skill usage count too.

let totalSkillUsage = 0;
if (this.props.skill_usage) {
 // eslint-disable-next-line
 totalSkillUsage = this.props.skill_usage.reduce((totalCount, day) => {
        if (day) {
         return totalCount + day.count;
        }
        return totalCount;
 }, 0);
}

<div className="time-chart">
 <div>
        <ResponsiveContainer width={this.state.width} height={300}>
         <LineChart
           ...
         >
           <XAxis dataKey="date" padding={{ right: 20 }} />
           <YAxis allowDecimals={false} />
           <Tooltip wrapperStyle={{ height: '60px' }} />
           <Legend />
           <Line
             ...
           />
         </LineChart>
        </ResponsiveContainer>
 </div>
</div>
<div className="total-hits">
 <div className="large-text">{totalSkillUsage}</div>
 Hits this week
</div>

 

Create div for the Device wise usage. Conditionally render it in case the device wise data is available in the props.

<div className="device-usage">
 <div className="sub-title">Device wise Usage</div>
 {this.props.device_usage_data &&
 this.props.device_usage_data.length ? (
        <div className="pie-chart">
         <ResponsiveContainer width={600} height={350}>
           <PieChart>
             <Pie
               ...
             >
               {this.props.device_usage_data.map((entry, index) => (
                 <Cell key={index} fill={entry.color} />
               ))}
             </Pie>
             <Legend wrapperStyle={{ position: 'relative' }} />
           </PieChart>
         </ResponsiveContainer>
        </div>
</div>

 

Create a div for the country wise usage. We get the country wise usage data from the props and then we plug in the data in the geo chart component and also display the data as a table on the side. In case no data comes in or is unavailable we do not render the component at all.

<div>
 {countryWiseSkillUsage && countryWiseSkillUsage.length ? (
        <div className="country-usage-container">
         <div className="country-usage-graph">
           <GeoChart data={countryWiseSkillUsage} />
         </div>
         <div className="country-usage-list">
           <Table>
             ...
         </div>
        </div>
 ) : (
        <div className="unavailable-message">
         Country wise usage distribution is not available.
        </div>
 )}
</div>

 

This is how the three subsection in the skill usage component are implemented

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Continue ReadingIndividual skill usage subsections in SUSI Skill CMS

Adding a feature to delete skills from skill page for admins

SUSI Skill CMS has evolved drastically over the past few months with not only the introduction of skill metrics, skill analytics and powerful sorting features and interactive skill view types we needed the SUSI admins to be able to delete skills directly from the skills page and hence the skill can be deleted without visiting the admin service and then locating the skill and deleting it. This feature can be useful when a skill live on the system needs to be removed instantaneously for any reason like the API used by the skill going down or if it is a redundant skill or anything else. This feature was much needed for the admins and thus it was implemented.

About the API

An API is developed at the server so from the client we call this API to fetch data from the server and plug this data into the chart we wish to render.

Endpoint :

/cms/deleteSkill.json?access_token={access_token}&model={model}&group={group}&language={language}&skill={skill}

 

Parameters :

  • Model
  • Group
  • Skill
  • Language
  • Feedback
  • Access token (taken from the session of the logged in user)

Sample API call :

/cms/deleteSkill.json?access_token=ANecfA1GjP4Bkgv4PwjL0OAW4kODzW&model=general&group=Knowledge&language=en&skill=whois

Displaying a button with delete icon on skill page

The option to delete skill should be available at the skill page for each skill so we add a button with a delete icon for this in the group of edit skills and skill version buttons, clicking over this button will open up a confirmation dialog with two actions notable the delete/confirm button which deletes the skills and the cancel button which can be useful in case the user changes their mind. On clicking the delete button the request to delete the skill is sent to the server and thus the skill is deleted.

Import some required components

import Dialog from 'material-ui/Dialog';
import FlatButton from 'material-ui/FlatButton';
import Cookies from 'universal-cookie';
import $ from 'jquery';

 

Adding some variables to the component state which will help us decide when the delete skill dialog is to be shown.

this.state = {
   ...
   showDeleteDialog: false,
   ...
}

 

Display the delete skill button only when the user is logged in user has admin rights.

{
   cookies.get(showAdmin) ? (
           ...
   ): ''
}

 

Adding some JSX to the component’s render function which includes a div in the skill page section and the Dialog component for the delete skill and some actions which in our case is the the confirmation to delete skill and to cancel the skill deletion in case the user changes their mind. Also a tooltip is shown which appears on hovering over the delete skill button.

<div className="skillDeleteBtn">
 <FloatingActionButton
        onClick={this.handleDeleteToggle}
        data-tip="Delete Skill"
        backgroundColor={colors.header}
 >
        <DeleteBtn />
 </FloatingActionButton>
 <ReactTooltip effect="solid" place="bottom" />
 <Dialog
        title="Delete Skill"
        actions={deleteDialogActions}
        modal={false}
        open={this.state.showDeleteDialog}
        onRequestClose={this.handleDeleteToggle}
 >
        <div>
         Are you sure about deleting{' '}
         <span style={{ fontWeight: 'bold' }}>
           {this.state.skill_name}
         </span>?
        </div>
 </Dialog>
</div>

 

Clicking the delete skill button will change the state variable which decides whether the dialog is to be shown or not.

handleDeleteToggle = () => {
 this.setState({
        showDeleteDialog: !this.state.showDeleteDialog,
 });
};

 

Adding submit and cancel actions for the dialog menu and send them to the dialog as a prop.

const deleteDialogActions = [
 <FlatButton
        label="Delete"
        key="delete"
        style={{ color: 'rgb(66, 133, 244)' }}
        onClick={this.deleteSkill}
 />,
 <FlatButton
        label="Cancel"
        key="cancel"
        style={{ color: 'rgb(66, 133, 244)' }}
        onClick={this.handleDeleteToggle}
 />,
];

Hitting the endpoint for skill deletion.

Adding onClick event handlers for dialog actions, for the cancel button we simply toggle the view of the delete skill dialog and for the submit button hits the endpoint for skill deletion and then we display a snack bar message about the status of request we submit if it succeeded or failed. Once the submit button is clicked we hit the delete skill endpoint by supplying appropriate params and post the request for skill deletion by calling the API through AJAX with appropriate params and thus this concludes the skill deletion workflow.

Build the URL for the AJAX request.

let deleteUrl =    `${urls.API_URL}/cms/deleteSkill.json?model=${this.state.skillModel}&group=${this.state.skillGroup}&language=${this.state.skillLanguagelanguage}&skill=${this.state.skill_name}&access_token=${cookies.get('loggedIn')}`

 

Make an AJAX request to the built API URL and in case the request is successful we set the conditional for displaying the snackbar to true and set the snackbar message depending on whether the skill was deleted successfully or it failed.

$.ajax({
 url: deleteUrl,
 dataType: 'jsonp',
 jsonp: 'callback',
 crossDomain: true,
 success: function(data) {
        // redirect to the index page since the skill page won't be accessible
        this.handleDeleteToggle();
        this.setState({
         dataReceived: true,
        });
        this.props.history.push('/');
 }.bind(this),
 error: function(err) {
        console.log(err);
        this.handleReportToggle();
        this.setState({
         openSnack: true,
         snackMessage: 'Failed to delete the skill.',
        });
 }.bind(this),
});

 

This concludes the workflow of how the skill deletion feature was implemented on the CMS skill page for admins. I hope you found this useful.

Resources

Continue ReadingAdding a feature to delete skills from skill page for admins

Adding a feature to report skills in the CMS

A lot of interesting features were introduced in the SUSI.AI Skills CMS over the past few months but it lacked the functionality for users to be able to report skills which they find inappropriate or for any other reason. So an API was developed at the server to flag the skills as inappropriate and thus using this API endpoint an option was added at the skill page for each skill to mark the skill as inappropriate or report it. This data could be useful by admins to re-review the skills and see if something is wrong with it and it things seem out of place the skill can be removed or can be disabled.

About the API

An API is developed at the server so from the client we call this API to fetch data from the server and plug this data into the chart we wish to render.

Endpoint :

/cms/reportSkill.json?model={model}&group={group}&skill={skill}&feedback={feedback message}&access_token={access_token}

 

Parameters :

  • Model
  • Group
  • Skill
  • Language
  • Feedback
  • Access token (taken from the session of the logged in user)

Sample API call :

/cms/reportSkill.json?model=general&group=Knowledge&skill=Anime Suggestions&feedback=Not good&access_token=6O7cqoMbzlClxPwg1is31Tz5pjVwo3

Displaying option to report on skill page

The option to report skill should be available at the skill page for each skill so we add a field in the skill details section to the skill page component which will only be visible to the logged in users and on clicking over this field we display a dialog with a text field, the user can enter the message or the reason for reporting the skill and then clicking on the submit button when the user is done writing or click on the cancel button in case the user changes their mind to report the skill. Once the message is submitted we run a function by passing in the feedback message which in turn hits the corresponding endpoint and posts the data on the server.

Import some required components

import Dialog from 'material-ui/Dialog';
import FlatButton from 'material-ui/FlatButton';
import TextField from 'material-ui/TextField';

 

Adding some variables to the component state which will help us decide when the report dialog is to be shown and the feedback message as the user types and some other relevant data.

this.state = {
   ...
   skillTag: '',
   showReportDialog: false,
   feedbackMessage: ''
   ...
}

 

Display the report feature only when the user is logged in.

{
   cookies.get('loggedIn') ? (
           ...
   ): ''
}

 

Adding some jsx to the component’s render function which includes a div in the skill details section and the Dialog component for the report message and confirmation and the dialog contains a text field to take report message and some actions which in our case is the send report action and the cancel report action.

<tr>
 <td>Report: </td>
 <td>
        <div
         style={{ color: '#108ee9', cursor: 'pointer' }}
         onClick={this.handleReportToggle}
        >
         Flag as inappropriate
        </div>
 </td>
 <Dialog
        title="Flag as inappropriate"
        actions={reportDialogActions}
        modal={false}
        open={this.state.showReportDialog}
        onRequestClose={this.handleReportToggle}
 >
        <TextField
         hintText="Leave a feedback message"
         floatingLabelText="Feedback message"
         multiLine
         floatingLabelFocusStyle={{
           color: 'rgb(66, 133, 244)',
         }}
         underlineFocusStyle={{
           borderColor: 'rgb(66, 133, 244)',
         }}
         fullWidth
         onChange={(event, val) =>
           this.saveReportFeedback(val)
         }
        />
 </Dialog>
</tr>

 

Clicking the report as inappropriate will change the state variable which decides whether the dialog is to be shown or not.

handleReportToggle = () => {
        this.setState({
             showReportDialog: !this.state.showReportDialog,
        });
};

 

Adding submit and cancel actions for the dialog menu and send them to the dialog as a prop.

const reportDialogActions = [
 <FlatButton
        label="Cancel"
        key="cancel"
        style={{ color: 'rgb(66, 133, 244)' }}
        onClick={this.handleReportToggle}
 />,
 <FlatButton
        label="Submit"
        key="submit"
        style={{ color: 'rgb(66, 133, 244)' }}
        onClick={this.handleReportSubmit}
 />,
];

Hitting the endpoint for report submit.

Adding onClick event handlers for dialog actions, for the cancel button we simply toggle the view of the report dialog and for the submit button we take the feedback message entered by the user in the text field and hit the endpoint for skill reporting and then we display a snackbar message about the status of report submit if it succeeded or failed.
Once the skill is submitted button is clicked we hit the report endpoint and post the feedback data and call the API through AJAX with appropriate params and thus this concludes the skill reporting workflow.

Build the URL for the AJAX request.

let reportUrl = `${urls.API_URL}/cms/reportSkill.json?model=${
        this.state.skillModel
 }&group=${this.state.skillGroup}&language=${
        this.state.skillLanguage
 }&skill=${this.state.skillTag}&feedback=${
        this.state.feedbackMessage
 }&access_token=${cookies.get('loggedIn')}`;

 

Make an AJAX request to the built API URL and in case the request is successful we set the conditional for displaying the snackbar to true and set the snackbar message depending on whether the skill was reported successfully or it failed.

$.ajax({
 url: reportUrl,
 dataType: 'jsonp',
 jsonp: 'callback',
 crossDomain: true,
 success: function(data) {
        self.handleReportToggle();
        self.setState({
           openSnack: true,
           snackMessage: 'Skill has been reported successfully.',
        });
 },
 error: function(e) {
        self.handleReportToggle();
        self.setState({
           openSnack: true,
           snackMessage: 'Failed to report the skill.',
        });
 },
});

 

This concludes the workflow of how the skill reporting feature was implemented on the CMS. I hope you found this useful.

Resources

Continue ReadingAdding a feature to report skills in the CMS

Add Info on Skill Usage Distribution for all Skills by an Author in SUSI.AI

SUSI Skill CMS has a dashboard option available at the /dashboard route which displays several data for the logged in user as the skills created by the user and the ratings the user has provided to all the skills, since we have a skill usage section available on all skill pages which depicts the skill usage count for the past week in a line chart. Skill creators didn’t have a functionality to see the skill usage distribution on their skills which can provide some useful insight like how some of the skills they created are performing in comparison to the others so I developed a ‘My Analytics’ section in the dashboard page and displayed the skill usage distribution in the form of pie chart among the skills created by the logged in users.

About the API

An API is developed at the server so from the client we call this API to fetch data from the server and plug this data into the chart we wish to render.

Endpoint :

/cms/getSkillsByAuthor.json?author_email={email}

 

Parameters :

Email ID which is taken from the cookies since it is stored there once the user logs in.

Sample API call :

/cms/getSkillsByAuthor.json?author_email=anshu.av97@gmail.com

Fetching the data for the component

We first create a separate My Analytics component and require it in the dashboard and make an AJAX call to the appropriate endpoint inside a loadSkillsUsage function which is called inside the componentDidMount hook after which the server returns raw data in the form of JSON. We then pass the response into a saveUsageData function to parse the data for our use and save it to the application state.

loadSKillsUsage = () => {
 let url =
        urls.API_URL +
`/cms/getSkillsByAuthor.json?author_email=${cookies.get('emailId')}`;
 let self = this;
 $.ajax({
        url: url,
        dataType: 'jsonp',
        jsonp: 'callback',
        crossDomain: true,
        success: function(data) {
         self.saveUsageData(data.author_skills || []);
         ...
        },
        error: function(err) {
         ...
        },
 });
};

 

Set the application state with the received data which the pie chart component will use as it’s data source.

saveUsageData = data => {
 const skillUsage = data.map(skill => {
        let dataObject = {};
        dataObject.skill_name = skill.skill_name;
        dataObject.usage_count = skill.usage_count || 0;
        return dataObject;
 });
 this.setState({ skillUsage });
};

Implementing the UI

We create a separate ‘My Analytics’ component which is imported into the dashboard component to make the code cleaner and manageable. So inside the My analytics component, we fetch the data from the server as depicted above and after that, we render the pie chart component after importing from the recharts library.

Importing the pie chart components from the recharts library.

import { Legend, PieChart, Pie, Sector, Cell, ResponsiveContainer } from 'recharts';

 

Rendering the pie chart component while supplying appropriate props most important of which is the data prop which will be used in the chart and that data is available in the application state as saved earlier. We also have other styling props and a function which is triggered when hovering over cells of the pie chart to represent the data of the hovered cell. We also supply the appropriate nameKey and dataKey props as per the data format available in the state.

<ResponsiveContainer width={600} height={350}>
 <PieChart>
        <Pie
         activeIndex={this.state.activePieIndex}
         activeShape={renderActiveShape}
         data={this.state.skillUsage}
         cx={300}
         cy={175}
         innerRadius={80}
         nameKey="skill_name"
         dataKey="usage_count"
         outerRadius={120}
         fill="#8884d8"
         onMouseEnter={this.onPieEnter}
        >

       ...
         </Pie>
        <Legend wrapperStyle={{ position: 'relative' }} />
 </PieChart>
</ResponsiveContainer>

 

Configuring color for each Cell in the pie so it looks more interactive and we have distinguished colors for all devices.

{this.state.skillUsage.map((entry, index) => (
 <Cell
   key={index}
   fill={
     [
       '#0088FE',
       '#00C49F',
       '#FFBB28',
       '#FF8042',
       '#EA4335',
     ][index % 5]
   }
 />
))}

 

Rendering the Pie only when data is available in props so we don’t end up rendering a blank chart which obviously won’t look good.

{
 this.state.skillUsage !== [] ? (
   ...
 ): ''
}

Resources

Continue ReadingAdd Info on Skill Usage Distribution for all Skills by an Author in SUSI.AI

Implementing feature to filter skills by average customer review

SUSI Skill CMS showcases all the skills on the index page but lacks the functionality to refine skills according to average customer review which is a much-needed feature since some users may only want to try skills which have at least a minimum rating so they can know instantly which skills are performing well in comparison to others. Thus, we implement several star inputs on the sidebar to select skills which have ratings greater than or equal to the selected rating input.

Implementing the UI

Add a menu to the sidebar at the bottom of all categories and display ‘Refine by’ submenu text to denote the section.

<Menu desktop={true} disableAutoFocus={true}>
 <Subheader style={{ fontWeight: 'bold' }}>Refine by</Subheader>
 <h4 style={{ marginLeft: '12px', marginBottom: '4px' }}>
   Avg. Customer Review
 </h4>

...

 

Display rating options to the user by displaying a list of Ratings component imported from react-ratings-declarative, these are to be displayed for all ratings say four stars and above, three stars and above and so on, i.e.

<div
 style={styles.singleRating}
 onClick={() => this.handleRatingRefine(4)}
>
 <Ratings
        rating={4}
        widgetRatedColors="#ffbb28"
        widgetDimensions="20px"
        widgetSpacings="0px"
 >
        <Ratings.Widget />
        <Ratings.Widget />
        <Ratings.Widget />
        <Ratings.Widget />
        <Ratings.Widget />
 </Ratings>
 <div
        style={styles.ratingLabel}
        className={this.state.rating_refine === 4 ? 'bold' : ''}
 >
        & Up
 </div>
</div>

 

We add some styling and attach an onClick listener on each rating component which will handle the refining of skills according to the rating clicked, the idea behind this is to save the rating for the clicked option to the component state and re-render the skill cards

handleRatingRefine = rating => {
 this.setState(
        {
         rating_refine: rating,
        },
        this.loadCards(),
 );
};

 

When the component state is successfully set loadCards function as a callback is called which re-renders the cards by applying filter over the skills which match the average rating criteria which we just set.

if (self.state.rating_refine) {
 data.filteredData = data.filteredData.filter(
        skill =>
         skill.skill_rating.stars.avg_star >= self.state.rating_refine,
 );
}

Displaying a button to clear any refinements made

Once the skills are refined a button is needed to clear any refinements made. Initially when no refinements are made the rating_refine in the state is set to null which indicates that no refinements are made so whenever the value of that state is no null we render a button to clear the refinements or set the rating_refine state to null.

{this.state.rating_refine ? (
 <div
        className="clear-button"
        style={styles.clearButton}
        onClick={() => this.handleRatingRefine(null)}
 >
        Clear
 </div>
) : (
 ''
)}

Resources

Continue ReadingImplementing feature to filter skills by average customer review

Implementing My Rating Section on the SUSI.AI Skills Dashboard

SUSI Skill CMS provides the functionality to rate the skills, therefore users rate skills they use but there isn’t any place where they can see all the skills they rated, thus a ‘My Ratings’ section was implemented on the dashboard page to view these statistics. So to see what ratings they have given to skills they can just login to the cms and navigate to /dashboard and a my ratings components is visible there which lists all the ratings the user has provided in a nice tabular format.

About the API

An API endpoint is implemented on the server which fetches the skill data for skills the user has rated which includes the skill name, stars given and the timestamp.

/cms/getProfileDetails.json?access_token=

 

So we pass the access token of the authenticated user and a JSON response is received which contains all the details as depicted below, this data is then parsed on the frontend and filled in a tabular form on the MyRatings section.

{
 "rated_skills": [
   {"amazon_shopping": {
     "stars": "1",
     "timestamp": "2018-06-10 13:05:32.295"
   }},
   {"aboutsusi": {
     "stars": "2",
     "timestamp": "2018-06-10 13:26:26.222"
   }},
   {"anagrams": {
     "stars": "3",
     "timestamp": "2018-06-10 13:25:31.195"
   }}
 ],
 "session": {"identity": {
   "type": "email",
   "name": "anshu.av97@gmail.com",
   "anonymous": false
 }},
 "accepted": true,
 "message": "User ratings fetched."
}

Displaying the results on the web

Make a MyRatings component and render it on the dashboard component

Make an AJAX call to the API and save the returned data to the component state. First create a loadSkills function in componentDidMount which will be called just as the component is mounted to the DOM which will then fetch data from the server, extract the meaningful parts such as skill_name, skill_star and timestamp and push them to an array which in this case is ratingsData. While the data is being fetched we show a circular loader for better UX and once we receive the data we save it in the component state and turn loading to false which will replace the loading animation with the actual data.

loadSkills = () => {
 let url;
 url =
   urls.API_URL +
   '/cms/getProfileDetails.json?access_token=' +
   cookies.get('loggedIn');
 let self = this;
 let ratingsData = [];
 $.ajax({
   url: url,
   jsonpCallback: 'pxcd',
   dataType: 'jsonp',
   jsonp: 'callback',
   crossDomain: true,
   success: function(data) {
     if (data.rated_skills) {
       for (let i of data.rated_skills) {
         let skill_name = Object.keys(i)[0];
         ratingsData.push({
           skill_name: skill_name,
           skill_star: i[skill_name].stars,
           rating_timestamp: i[skill_name].timestamp,
         });
       }
       self.setState({
         ratingsData,
       });
     }
     self.setState({
       loading: false,
     });
   },
   error: function(err) {
     self.setState({
       loading: false,
       openSnackbar: true,
       msgSnackbar: "Error. Couldn't rating data.",
     });
   },
 });
};

 

Display a loading animation when the data is being fetched, we maintain a state in the component called loading which is initially true since we don’t have the data just as the component is rendered so after we receive the data we turn the loading state to false which will hide the circular loader and display the component with the data received.

{this.state.loading ? (
         <div className="center">
           <CircularProgress size={62} color="#4285f5" />
           <h4>Loading</h4>
         </div>
       ) : ( ... )
}

 

Add a table to structure the state data, since we’re using material-ui library throughout the project we use material table component from the library and populate the data received in it with 3 columns namely skill name, skill star, and timestamp.

<div className="table-wrap">
 <Table className="table-root" selectable={false}>
   <TableHeader displaySelectAll={false} adjustForCheckbox={false}>
     <TableRow>
       <TableHeaderColumn>Skill Name</TableHeaderColumn>
       <TableHeaderColumn>Rating</TableHeaderColumn>
       <TableHeaderColumn>Timestamp</TableHeaderColumn>
     </TableRow>
   </TableHeader>
   <TableBody displayRowCheckbox={false}>
     {ratingsData.map((skill, index) => {
       return (
         <TableRow key={index}>
           <TableRowColumn style={{ fontSize: '16px' }}>
             {(
               skill.skill_name.charAt(0).toUpperCase() +
               skill.skill_name.slice(1)
             ).replace(/[_-]/g, ' ')}
           </TableRowColumn>
           <TableRowColumn style={{ fontSize: '16px' }}>
             {skill.skill_star}
           </TableRowColumn>
           <TableRowColumn>
             {this.parseDate(skill.rating_timestamp)}
           </TableRowColumn>
         </TableRow>
       );
     })}
     <TableRow />
   </TableBody>
 </Table>
</div>

 

Display a message when there is no rating data available, let’s say the user has not rated any skills so it does not make sense to display an empty table and therefore we display a message instead for users to rate skills.

{ratingsData.length === 0 &&
!this.state.loading && (
 <div>
   <div className="center">
     <br />
     <h2>
       You have not rated any skill, go to{' '}
       <Link to="/">SUSI Skills Explorer</Link> and rate.
     </h2>
     <br />
   </div>
 </div>
)}

 

Import this component in the dashboard component and render it below My Skills

import MyRatings from './MyRatings';

 

Render the imported MyRatings component on a separate card from material-ui on the dashboard.

<Paper
 style={styles.paperStyle}
 className="botBuilder-page-card"
 zDepth={1}
>
 <h1 className="center">My Ratings</h1>
 <MyRatings />
</Paper>

Resources

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Adding System Messages on Open Event Server

The Open Event Server enables organizers to manage events from concerts to conferences and meetups. It offers features for events with several tracks and venues. Event managers can create invitation forms for speakers and build schedules in a drag and drop interface. The event information is stored in a database. The system provides API endpoints to fetch the data, and to modify and update it.

The Open Event Server is based on JSON 1.0 Specification and hence build on top of Flask Rest Json API (for building Rest APIs) and Marshmallow (for Schema).

In this blog, we will talk about how to add API for accessing the System Messages on Open Event Server. The focus is on its Model updation and it’s Schema creation.

Model Updation

For the System Messages, we’ll make update model as follows

Now, let’s try to understand this Schema.

In this feature, we are providing Admin the rights to read email and notification formats used in Open Event application.

  1. First of all, there is the need to know that it has three columns notification_status, user_control_status and mail_status of type boolean.
  2. Next it has action attribute which is of type String.
  3. At last, we have hybrid properties email_message and notification_message which will return the format of email and notification respective to the action string.
  4. The hybrid properties depends on _email_message method and _notification_message method. These methods reads the MAILS and NOTIFS dictionaries and return there values corresponding to string of action key of corresponding record.

Schema Creation

For the System Messages, we’ll make our Schema as follows

Now, let’s try to understand this Schema.

In this feature, we are providing Admin the rights to read email and notification formats used in Open Event application.

  1. First of all, there is the need to know that it has three boolean properties notification_status, user_control_status and mail_status
  2. Next it has action attribute which is of type String and it’s value can be validated to have any one of the list provided in choices.
  3. At last, it has the String attributes email_message and notification_message which will return the action formats of email and notification concerning the action string provided.

So, we saw how System Messages Schema and Model is created / updated to allow Admin users to read it’s values.

Resources

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Adding Dredd Tests for Image Sizes on Open Event Flask Server

In this blog, we will talk about how to add dredd hooks for testing the API of Event Image Sizes and Speaker Image Sizes in Open Event Server. The focus is on adding the factory class and dredd hooks of these APIs using factory-boy python library and Dredd API testing framework.

Factory Creation

For the Event and Speaker Image Sizes, we’ll make our factory classes EventImageSizeFactory  and SpeakerImageSizeFactory as follows

Now, let’s try to understand this class.

In this class, we are writing the sample data two records of ImageSizes Model, these records corresponds to Event and Speaker Image Sizes.

  1. First of all, we inherit class factory.alchemy.SQLAlchemyModelFactory to build our sample data which for Image Sizes.
  2. Class Meta has model and sqlalchemy_session attributes. Model tells the factory class of to which model this factory class push the data to database and sqlalchemy_session is assigned with the current database session.
  3. Next, we add the attributes according to the model and Schema of Image Sizes.

Adding Dredd Hooks

For the ImageSizes, we’ll make our dredd hooks as follows

Now, let’s try to understand these tests.

In this tests, we check the API by matching the response after adding a record in these API to one which is present at API blueprint.

  1. First of all, we use decorator @hooks.before which means we first add a record in the database and then match the response we get from API say /v1/event-image-sizes with the response mentioned at Image Size > Event Image Size Details > Get Event Image Size Details in API blueprint.
  2. We create an instance of EventImageSizeFactory which is a record of model Image Sizes.
  3. This record is then returned as a response of API /v1/event-image-sizes and matches with the blueprint at Image Size > Event Image Size Details > Get Event Image Size Details

Similarly, we have added other dredd tests for PATCH method as well.

So, we saw how factory-boy python library and Dredd API testing framework helped us in testing the REST APIs on Open Event Server.

Resources

Continue ReadingAdding Dredd Tests for Image Sizes on Open Event Flask Server

Adding Event Roles Permission API on Open Event Server

The Open Event Server enables organizers to manage events from concerts to conferences and meetups. It offers features for events with several tracks and venues. Event managers can create invitation forms for speakers and build schedules in a drag and drop interface. The event information is stored in a database. The system provides API endpoints to fetch the data, and to modify and update it.

The Open Event Server is based on JSON 1.0 Specification and hence build on top of Flask Rest Json API (for building Rest APIs) and Marshmallow (for Schema).

In this blog, we will talk about how to add API for accessing and updating the events role permissions on Open Event Server. The focus is on Schema creation and it’s API creation.

Schema Creation

For the Events Role Permission, we’ll make our Schema as follows

 

Now, let’s try to understand this Schema.

In this feature, we are providing Admin the rights to get and update the permission given to a role concerning a service.

  1. First of all, we are provide the four fields in this Schema, which are can_create, can_read, can_update and can_delete which are Boolean.
  2. All these fields gives us idea whether a user with a role can create, read, update and delete a service or not respectively in the whole system.
  3. Next there is a relationship with role which is one of organizer, coorganizer, track_organizer, moderator, registrar or attendee.
  4. Next there is a relationship with service which is one of Track, Microlocation, Session, Speaker or Sponsor.

API Creation

For the Events Role Permissions, we’ll make our API as follows

Now, let’s try to understand this API.

In this feature, we are providing Admin the rights to get and update the permission given to a role concerning a service.

  1. First of all, there is the need to know that this API has two method GET and PATCH.
  2. Decorators shows us that only Admin has permissions to access PATCH method for this API i.e. only Admins can modify the events role permissions .
  3. In EventsRolePermissionList, we are inheriting ResourceList from Flask Rest JSONAPI which will allow us to get all the records for the model Permission.
  4. In EventsRolePermissionDetail, we are inheriting ResourceDetail from Flask Rest JSONAPI which will allow us to get and update attributes of a record of model Permission.
  5. In EventsRolePermissionRelationship, we are inheriting ResourceRelationship from Flask Rest JSONAPI which will allow us to get and update relationships of a record of model Permission.

So, we saw how Events Role Permission Schema and API is created to allow users to get it’s values and Admin users to modify it’s attributes and relationships.

Resources

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Building the API of Speaker Image Size on Open Event Server

The Open Event Server enables organizers to manage events from concerts to conferences and meetups. It offers features for events with several tracks and venues.It uses the JSON 1.0 Specification and build on top of Flask Rest Json API (for building Rest APIs) and Marshmallow (for Schema). In this blog, we will talk about how to add API for accessing and updating the Speaker Image Size on Open Event Server. The focus is on its API creation.

API Creation

For the SpeakerImageSizeDetail, we’ll make our Schema as follows

Now, let’s try to understand SpeakerImageSizeDetail.

In this feature, we are providing Admin the rights to Get and Update the SpeakerImageSizes

  1. kwargs[‘id’] = 2 states that Image Size model has 2 records and 1st record is used for Event Image Size and 2nd record is used for Speaker Image Size.
  2. decorators = (api.has_permission(‘is_admin’, methods=”PATCH”, id=”2″),) states that for Speaker Image Size, Update API is accessible to Admins only.
  3. methods = [‘GET’, ‘PATCH’] states that this API provides two methods i.e. GET and PATCH.
  4. schema = SpeakerImageSizeSchema states that the schema which is used to return the response is Speaker Image Size Schema.
  5. data_layer = {‘session’: db.session, ‘model’: ImageSizes} states the session and Model used to fetch the records.

Resources

Continue ReadingBuilding the API of Speaker Image Size on Open Event Server