This repository contains example code for an authorship experience that provides feedback as you type using Perspective API. It is a web app written in Angular2/TypeScript and uses a Node Express server. This project shows how to have a development and a production build environment with deployment tools based on Docker. You can then deploy to cloud services such as Google Cloud's App Engine, as well as other cloud computing providers.

The app uses the Perspective API to score text, via perspectiveapi-simple-server.

This project was generated with Angular CLI version 1.0.0.

To run code using your local machine (not via the Docker environment), you will need to install nodejs (e.g., by installing NVM). You'll also need some global packages, which you can install using the npm command:

npm install -g yarn typings typescript ts-node mocha protractor angular-cli karma-cli

Next, you will need to create a Google Cloud (GCS) project, and it will need to have access to Perspective API. Requests to the API will be authenticated using a Cloud project API key.

An example configuration file template is provided in config/server_config.template.json. If one is not present in build/config, then the config file will be copied there when you build or start a local server. The config file specifies your Google Cloud project API key, and some other details which you can learn more about in the documentation for perspectiveapi-simple-server.

To setup and install the local packages, use install yarn and then run:

yarn install

The perspectiveapi-simple-server has an optional configuration for enabling reCAPTCHA verification. To enable it in this demo, add the requisite recaptchaConfig values to server_config.json. Then, provide ng-recaptcha's RecaptchaV3Service and RECAPTCHA_V3_SITE_KEY to the module importing this demo, like so:

providers: [ 
  ReCaptchaV3Service,
  {provide: RECAPTCHA_V3_SITE_KEY, useValue: 'your_site_key_for_reCAPTCHA_v3' },
]

Run yarn run serve for a dev server. Navigate to http://localhost:4200/. The app will automatically reload if you change any of the source files. API requests to the server (http://localhost:4200/check and http://localhost:4200/suggest_score) will be redirected to an underlying nodejs server, based on perspectiveapi-simple-server, which is started at http://localhost:8080/.

Builds the app in build/static:

yarn build:dev

Start the simple server at http://localhost:8080/ serving content from build/static:

yarn run start:dev-server

To build the production version of the app in build/static, which will compile the HTML, JS and CSS and do cool shakedown stuff to minimize the size, run:

yarn build:prod

You can now run the simple server at http://localhost:8080/ serving content from build/static:

yarn run start:dev-server

When run using the Dockerfile, e.g. on Google Cloud, the following command will be run:

yarn run start:prod-server

If you run this locally, you'll need to login to Google Cloud and set your project ID. If you run this locally, you'll need to login to Google Cloud and set your project ID.

Assuming you have Docker installed and setup, you can create a Docker image for the production server with:

docker build -t perspectiveapi-authorship-demo .

To start a shell in the Docker environment for debugging and to manually start the server there, you can run:

docker run -ti perspectiveapi-authorship-demo /bin/bash

Run ng generate component component-name to generate a new component. You can also use ng generate directive/pipe/service/class/module.

Run yarn run build to build the project. The build artifacts will be stored in the build/ directory. Use the -prod flag for a production build.

Run yarn run test to execute the unit tests via Karma.

Run yarn run e2e to execute the end-to-end tests via Protractor. Before running the tests make sure you are serving the app via ng serve.

To get more help on the Angular CLI use ng help or go check out the Angular CLI README.

Angular Elements is a new experimental API that allows exporting Angular components as webcomponents. This repo includes a demo of this functionality with the convai-checker component. To see it, do the following:

1. Build with the command yarn run build:dev-customElements.
2. Run yarn run start:dev-server
3. Open http://localhost:8080/index_with_elements.html.

TODO(rachelrosen): Document and demo how to add convai-checker webcomponent outside of the angular-cli build using the imported compiled javascript.

To publish a new version of the convai-checker webcomponent, that can be used as a plugin in other websites (e.g. WordPress):

1. Run yarn run build-plugin-js. This will concatenate all JavaScript files into one build/static/perspective_authorship_widget.js file.
2. Copy the new JavaScript to GCS with gsutil cp build/static/perspective_authorship_widget.js gs://checker_source/
3. Copy asset files (emoji images) to GCS with gsutil cp src/assets/* gs://checker_source/assets
4. Open (https://pantheon.corp.google.com/storage/browser/checker_source) and ensure that perspective_authorship_widget.js and all files in the assets directory have "Public link" checked. TODO(dborkan): automate this step

To package the library for publication, we use ng-packagr.

Run yarn run packagr to build the javascript bundles, which will generate a dist/ directory. Then run npm publish dist to publish the contents of that directory.

When using this library in another package, in order to access the image assets for emoji mode, you must add the assets from this package to the assets in your angular.json:

"assets": [ { "glob": "*", "input": "node_modules/@conversationai/perspectiveapi-authorship-demo/src/assets", "output": "./assets" } ]

See angular/angular-cli#3555 (comment) and angular/angular-cli#4691 for more info.

This is example code to help experimentation with Perspective API; it is not an official Google product.