Hypertrace-UI

User interface for an open source distributed tracing & observability platform!
More about hypertrace »

Setup

Install Node and npm, if not done already (Node and Npm). Recommended node version is 16+.
Fork or clone the repository and Use following commands.

cd <dir_path>
npm ci

once done, start a development server

npm start

Navigate to http://localhost:4200/. The app will automatically reload if you change any of the source files.

To run unit test cases (execute the unit tests via Jest)

npm run test

Technologies

Hypertrace-ui uses angular as the framework. On top of angular, following technologies are being used.

Typescript : As a core language, hypertrace-ui uses typescript instead of traditional javascript. Learn more about Typescript here
RxJS : For reactive programming, hypertrace-ui uses RxJs library. Learn more about RxJs here
D3.js : Charts are the core part for hypertrace-ui. Charts are custom build here and use D3.js library. Learn more about D3.js here
Spectator: For unit testing, hypertrace-ui uses spectator library. Learn more about Spectator here
Hyperdash & Hyperdash-Angular: Hyperdash is dashboarding framework/library and hyperdash-angular is a wrapper, specific to angular. Learn more about dasboards in dashboards section.

Code Architecture

Hypertrace-UI code is divided into many smaller projects which gives the code base a better structure. Here are the projects.

Assest Library : This consists of the assets which are being used in the application. For example; images, icons etc. Check this out here
Common : This consists of the common code/features such as application constants, colors, telemetry, utilities (with common angular pipes) etc. Check this out here
Components : Hypertrace-ui has a wide variety of custom made angular components. This is the place for generic components (eg. Input Component) and directives(eg. LoadAsync Directive). Check this out here
Dashboards : This consists of the common code for dashboards such as base model, properties etc. Check this out here
Graphql-Client : Hypertrace-ui uses apollo graphql for API calls. This is the place where all the base graphql request related code is present such as graphql arguments, resolvers, builders etc. Check this out here
Observability : This consists of all the different pages, components, services related to distributed tracing and observability. This project is the home for charts as well. Check this out here
Test Utils : This consists of some unit test utilities for dashboards etc.. Check this out here
UI App : This is not a project but a entry point for hypertrace-ui app. This consists of the home page, routes, config module etc. Check this out here

NOTE : Each project contains a barrel file named public-api.ts. This handles all the exports at a single place which improves the importing in the app. For example

@import { Color } from '@hypertrace/common'

The Essentials

Let's talk about the essentials for development in hypertrace-ui.

Angular Specifics

Since hypertrace-ui uses angular as core framework, all the concepts specific to angular are being used and applied in hypertrace-ui. Such as components, directives, pipes, dependency injection, services, modules, lazy loading etc. Check out the angular docs for more info.

NOTE : Test file name ends with .test.ts instead of .spec.ts for better readability.

Dashboards

Hypertrace-UI uses dashboards to build custom pages. These dashboards are widely used in the application. These dashboards are build using Hyperdash and Hyperdash-Angular libraries. Check out both here (Hyperdash & Hyperdash angular)
Let's check this example.

in Template

<ht-navigable-dashboard [navLocation]="this.location" [defaultJson]="this.defaultJson"> </ht-navigable-dashboard>

in Component

public readonly location: string = 'HELLO_LOCATION';
public readonly defaultJson: ModelJson = {
  type: 'hello-widget',
  name: 'name'
  children: [],
  data: {
    'upper-case': false,
    type: 'hello-data-source'
  }
}

Now let's break this down.

It will create a dasboard for a unique location.
Dasboards are designed in a way that it takes a modal json as input property and renders the corresponding widgets.
There are 3 core concepts - widget , widget renderer and data source.

Let's talk about these individually.

Widget

To create a widget, we need to create model class.
Continue with the above ModelJson. Let's create hello-widget.model.ts

import { Model, ModelProperty, STRING_PROPERTY } from '@hypertrace/hyperdash';

@Model({
  type: 'hello-widget',
})
export class HelloWidgetModel {
  @ModelProperty({
    type: STRING_PROPERTY.type,
    key: 'name',
    required: false,
  })
  public name?: string;
}

Now let's break this down.

We have used decorator Model by which we're registering this widget (on build) for usage.
type property is the unique string to define each widget. If we look closely we have used the same string as a type in the model json as well.
We have used decorator ModelProperty for defining the custom properties like in this case name.

But the question is how this class will render the dom? let's find out in next section!

Widget Renderer

Now after creating the widget model, let's create widget renderer component.
Using the same example. Let's create `hello-widget-renderer.component.ts

import { ChangeDetectionStrategy, Component } from '@angular/core';
import { Renderer } from '@hypertrace/hyperdash';
import { Observable } from 'rxjs';
import { WidgetRenderer } from '../widget-renderer';
import { HelloWidgetModel } from './hello-widget.model';

@Renderer({ modelClass: HelloWidgetModel })
@Component({
  selector: 'ht-hello-widget-renderer',
  changeDetection: ChangeDetectionStrategy.OnPush,
  template: ` <div *htLoadAsync="this.data$ as data">{{ data }} {{ this.model.name }}</div> `,
})
export class HelloWidgetRendererComponent extends WidgetRenderer<HelloWidgetModel> {
  protected fetchData(): Observable<string> {
    return this.api.getData();
  }
}

Now let's break this down.

We have used decorator Renderer by which we're registering this widget renderer (on build) for usage.
modelClass property is the same class for which we're building this renderer, in this case it is HelloWidgetModel.
Now after extending the WidgetRenderer class, we have access to the name property which we defined in the model class.
fetchData method is used to give us access to this.data$ observable.
htLoadAsync directive is used to resolve the data observable, which can be done with async pipe as well.

How are we getting data? Now let's understand this in the next section.

Data Source

Now after creating the widget renderer we need the data which we are using in the renderer component.
Continue with the above ModelJson. Let's create hello-data-source.model.ts

import { Model, ModelProperty, STRING_PROPERTY} from '@hypertrace/hyperdash';
import { Observable, of } from 'rxjs';

@Model({
  type: 'hello-data-source'
})
export class HelloDataSourceModel {
  @ModelProperty({
    key: 'upper-case',
    required: false,
    type: STRING_PROPERTY.type
  })
  public upperCase: boolean = false;

  public getData(): Observable<string> {
    return of(this.upperCase ? 'HELLO' ? 'Hello')
  }
}

Now let's break this down.

We have used decorator Model by which we're registering this data source (on build) for usage.
type property is the unique string to define each data source. If we look closely we have used the same string as a type in the model json as well for key data.
We have used decorator ModelPropery for defining custom properties; like in this case upper-case.
We have implemented getData method, and the same method is being used in the renderer component return this.api.getData().

Now after implemening all this we can use these as shown above and render custom data.

Why we're doing this? Answer is simple, once we do all this, we can just write few lines of json to render a whole widget. For more complex examples please check home.dashboard.ts and its constituent widgets.

Tables

Table is a custom component in the hypertrace-ui. The following example shows how to add table inside another component.
Here is what table API Says:

@Input()
public data?: TableDataSource<TableRow>;

@Input()
public columnConfigs?: TableColumnConfig[];

So Let's use this. in Template

<ht-table [data]="this.datasource" [columnConfigs]="this.columnConfigs"> </ht-table>

in Component

public datasource?: TableDataSource<TableRow> = {
  getData : () => of({
    data: [{name: 'test-name1'}, {name: 'test-name2'}],
    totalCount: 2
  })
};
public readonly columnConfigs: TableColumnConfig[] = [
  {
    id: 'name',
    title: 'Name'
    visible: true,
    sortable: false,
    width: '48px',
  }
];

Now let's break this down.

It will create a table with a single column (In column configs we have only mentioned one column) and two rows (in the data source we have mentioned data as array of two objects.).
If we look closely, table column config's id is same as the key we have used the key in data which is name. This is a must for the table to render the data correctly.

There are more features in the table component, like custom controls, configurations (for pagination and many other). We highly recommend you to check out the table.component.ts to learn about tables and check out all the different examples present in the application.

Cell Renderers

Continuing from tables, let's talk about custom table cell renderers. In hypertrace-ui, we can create a custom table cell renderer to handle presentation of a cell data. These are nothing but angular component with another decorator TableCellRenderer
Now let's see how we can create a custom cell renderer. for example hello-table-cell-renderer.component.ts

import { ChangeDetectionStrategy, Component } from '@angular/core';
import { TableCellRenderer } from '../../table-cell-renderer';
import { TableCellRendererBase } from '../../table-cell-renderer-base';
import { CoreTableCellParserType } from '../../types/core-table-cell-parser-type';
import { TableCellAlignmentType } from '../../types/table-cell-alignment-type';

@Component({
  selector: 'ht-hello-table-cell-renderer',
  styleUrls: ['./hello-table-cell-renderer.component.scss'],
  changeDetection: ChangeDetectionStrategy.OnPush,
  template: ` <div>Hello {{ this.value }}</div> `,
})
@TableCellRenderer({
  type: 'hello',
  alignment: TableCellAlignmentType.Left,
  parser: CoreTableCellParserType.NoOp,
})
export class HelloTableCellRendererComponent extends TableCellRendererBase<string> {}

Now let's break this down.

We have used decorator TableCellRenderer by which we're registering this cell renderer (on build) for usage.
type property is the unique string to define each cell renderer.
alignment is used for the cell alignment, could be - left, right and center
parser is used to parse the data. It can also be defined similar to a cell renderer. Suppose we are getting data as ['test1', 'test2'] and we want it to be marshalled into {value1: 'test1', value2: 'test2'} then we can create a custom parser and can handle the transformation. For no operation we use CoreTableCellParserType.NoOp

Usage : Once this is done, we can use this in our table using display property. This will be same as the type of the cell renderer.

Module import

TableModule.withCellRenderers([HelloTableCellRendererComponent]);

in Component

public readonly columnConfigs: TableColumnConfig[] = [
  {
    id: 'name',
    title: 'Name'
    display: 'hello'
    visible: true,
    sortable: false,
    width: '48px',
  }
];

NOTE: We highly recommend you to check out all the existing example of table and cell renderers to learn more.

GraphQl Handlers

There are two type of graphql handlers we use.

Query : To get the data from server / backend.
Mutation : For delete, post and put use cases.

Let's see an example of a query graphql-handler:

import { Injectable } from '@angular/core';
import { GraphQlHandlerType, GraphQlQueryHandler, GraphQlSelection } from '@hypertrace/graphql-client';

@Injectable({ providedIn: 'root' })
export class HelloGraphQlQueryHandlerService implements GraphQlQueryHandler<GraphQlHelloRequest, GraphQlHelloResponse> {
  public readonly type: GraphQlHandlerType.Query = GraphQlHandlerType.Query;

  public matchesRequest(request: unknown): request is GraphQlHelloRequest {
    return (
      typeof request === 'object' &&
      request !== null &&
      (request as Partial<GraphQlHelloRequest>).requestType === HELLO_GQL_REQUEST
    );
  }

  public convertRequest(request: GraphQlHelloRequest): GraphQlSelection {
    return {
      path: 'getHello',
      children: [
        {
          path: 'result',
        },
      ],
    };
  }

  public convertResponse(response: ExportSpansResponse): string | undefined {
    return response.result;
  }
}

export const HELLO_GQL_REQUEST = Symbol('GraphQL Hello Request');

export interface GraphQlHelloRequest {
  requestType: typeof HELLO_GQL_REQUEST;
}

export interface GraphQlHelloResponse {
  result: string;
}

Let's break this down.

We have used a unique symbol, as a type for the request.
Two interfaces GraphQlHelloRequest and GraphQlHelloResponse for request and response.
matchesRequest method is used to verify the request.
convertRequest method is used for converting request into graphql selection.
convertResponse method is used to convert the response into desired format.

Usage : Now once this is done, we can use this in the service/component

Module import

GraphQlModule.withHandlerProviders([HelloGraphQlQueryHandlerService]);

in Component/Service

// Injection
private readonly graphQlQueryService: GraphQlRequestService

// Usage
this.graphQlQueryService.query<HelloGraphQlQueryHandlerService>({
  requestType: HELLO_GQL_REQUEST
})

Testing

Testing is an integral part of hypertrace-ui and hypertrace-ui maintains a good amount of code coverage using unit tests! We use Spectator library to test components. services, directives, pipes, dashboards etc. We always write shallow tests.

Best Pratices

Naming: Always write a file and class name which is easy to understand and specific to use case. for example - asynchronous loading -> directive name is LoadAsyncDirective. Use ht as prefix in component selectors, pipes, directives etc. There is lint rule as well.
Linting: For a consistent in file code structure, linting is used and a requirement before merging the code.

Contributions

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

Others

These are some extra things that might be useful.

Building Image locally

Hypertrace UI uses gradle to build a docker image. Gradle wrapper is already part of the source code. To build Hypertrace UI image, run:

./gradlew dockerBuildImages

Docker Image Source:

DockerHub > Hypertrace UI

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

README.md

README.md

Hypertrace-UI

Table of Contents

Setup

Technologies

Code Architecture

The Essentials

Angular Specifics

Dashboards

Widget

Widget Renderer

Data Source

Tables

Cell Renderers

GraphQl Handlers

Testing

Best Pratices

Contributions

Others

Building Image locally

Docker Image Source:

Files

README.md

Latest commit

History

README.md

File metadata and controls

Hypertrace-UI

Table of Contents

Setup

Technologies

Code Architecture

The Essentials

Angular Specifics

Dashboards

Widget

Widget Renderer

Data Source

Tables

Cell Renderers

GraphQl Handlers

Testing

Best Pratices

Contributions

Others

Building Image locally

Docker Image Source: