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CI](https://travis-ci.org/conversationai/perspectiveapi-authorship-demo.svg?branch=master)](https://travis-ci.org/conversationai/perspectiveapi-authorship-demo) [![npm version](https://badge.fury.io/js/%40conversationai%2Fperspectiveapi-authorsh","maintainers":[{"email":"ldixon@google.com","name":"conversationai-circleci"},{"email":"lucasdossantos@google.com","name":"lgsds"},{"email":"raquels@google.com","name":"raqueljeni"},{"email":"tinacosta@google.com","name":"tinacosta"},{"email":"achvasta@google.com","name":"achvasta"}],"readme":"[![Travis CI](https://travis-ci.org/conversationai/perspectiveapi-authorship-demo.svg?branch=master)](https://travis-ci.org/conversationai/perspectiveapi-authorship-demo) [![npm version](https://badge.fury.io/js/%40conversationai%2Fperspectiveapi-authorship-demo.svg)](https://badge.fury.io/js/%40conversationai%2Fperspectiveapi-authorship-demo)\n\n# An authorship experience demo for Perspective API\n\nThis repository contains example code for an authorship experience that provides feedback as you type using [Perspective API](http://www.perspectiveapi.com/). It is a web app written in\n[Angular2](https://angular.io/)/[TypeScript](https://www.typescriptlang.org/) and uses a [Node Express server](https://expressjs.com/). This project shows how to have a development and a production\nbuild environment with deployment tools based on [Docker](https://www.docker.com/). You can then deploy to cloud services such as [Google Cloud's App Engine](https://cloud.google.com/appengine/),\nas well as other cloud computing providers.\n\nThe app uses the [Perspective API](http://www.perspectiveapi.com/) to score text, via\n[perspectiveapi-simple-server](https://github.com/conversationai/perspectiveapi-simple-server).\n\nThis project was generated with [Angular CLI](https://github.com/angular/angular-cli) version 1.0.0.\n\n## Requirements & Setup\n\nTo run code using your local machine (not via the Docker\nenvironment), you will need to install `nodejs` (e.g., by [installing NVM](https://github.com/creationix/nvm)).\nYou'll also need some global packages, which you can install using the `npm` command:\n\n```bash\nnpm install -g yarn typings typescript ts-node mocha protractor angular-cli karma-cli\n```\n\nNext, you will need to create a\n[Google Cloud (GCS)](http://cloud.google.com) project, and it will need to have access to [Perspective API](https://www.perspectiveapi.com). Requests to the API will be authenticated using a [Cloud project API key](https://support.google.com/cloud/answer/6158862?hl=en).\n\nAn example configuration file template is provided in `config/server_config.template.json`. If one is not present\nin `build/config`, then the config file will be copied there when you build or start a local server. The config\nfile specifies your Google Cloud project API key, and some other details which you can learn more about in the\n[documentation for perspectiveapi-simple-server](https://github.com/conversationai/perspectiveapi-simple-server/blob/master/README.md).\n\nTo setup and install the local packages, use [install yarn](https://yarnpkg.com/en/docs/install) and then run:\n\n```bash\nyarn install\n```\n\n### Adding reCAPTCHA v3 verification\n\nThe [perspectiveapi-simple-server](https://github.com/conversationai/perspectiveapi-simple-server) \nhas an optional configuration for enabling reCAPTCHA verification. To enable it in this demo, add the \nrequisite `recaptchaConfig` values to `server_config.json`. Then, provide [ng-recaptcha](https://github.com/DethAriel/ng-recaptcha)'s  `RecaptchaV3Service` and `RECAPTCHA_V3_SITE_KEY` to the module importing this demo, like so:\n\n```js\nproviders: [ \n  ReCaptchaV3Service,\n  {provide: RECAPTCHA_V3_SITE_KEY, useValue: 'your_site_key_for_reCAPTCHA_v3' },\n]\n```\n\n## Development server that watches the source code\n\nRun `yarn run serve` for a dev server. Navigate to `http://localhost:4200/`.\nThe app will automatically reload if you change any of the source files.\nAPI requests to the server (`http://localhost:4200/check` and\n`http://localhost:4200/suggest_score`) will be redirected to an underlying nodejs server,\nbased on [perspectiveapi-simple-server](https://github.com/conversationai/perspectiveapi-simple-server),\nwhich is started at `http://localhost:8080/`.\n\n## Development server that uses compiled sources\n\nBuilds the app in `build/static`:\n\n```bash\nyarn build:dev\n```\n\nStart the simple server at `http://localhost:8080/` serving content from `build/static`:\n\n```bash\nyarn run start:dev-server\n```\n\n## Production server that uses compiled sources\n\nTo build the production version of the app in `build/static`, which will compile the HTML, JS and CSS\nand do cool shakedown stuff to minimize the size, run:\n\n```\nyarn build:prod\n```\n\nYou can now run the simple server at `http://localhost:8080/` serving content from `build/static`:\n\n```bash\nyarn run start:dev-server\n```\n\nWhen run using the Dockerfile, e.g. on [Google Cloud](https://cloud.google.com/sdk/gcloud/), the following\ncommand will be run:\n\n```bash\nyarn run start:prod-server\n```\n\nIf you run this locally, you'll need to [login to Google Cloud and set your project ID](https://cloud.google.com/sdk/docs/initializing).\nIf you run this locally, you'll need to [login to Google Cloud and set your project ID](https://cloud.google.com/sdk/docs/initializing).\n\n## Production server using docker file\n\nAssuming you have [Docker](https://www.docker.com/) installed and setup, you can create a Docker image for the\nproduction server with:\n\n```bash\ndocker build -t perspectiveapi-authorship-demo .\n```\n\nTo start a shell in the Docker environment for debugging and to manually start\nthe server there, you can run:\n\n```bash\ndocker run -ti perspectiveapi-authorship-demo /bin/bash\n```\n\n## Code scaffolding\n\nRun `ng generate component component-name` to generate a new component. You can also use `ng generate directive/pipe/service/class/module`.\n\n## Build\n\nRun `yarn run build` to build the project. The build artifacts will be stored in the `build/` directory. Use the\n`-prod` flag for a production build.\n\n## Running unit tests\n\nRun `yarn run test` to execute the unit tests via [Karma](https://karma-runner.github.io).\n\n## Running end-to-end tests\n\nRun `yarn run e2e` to execute the end-to-end tests via [Protractor](http://www.protractortest.org/).\nBefore running the tests make sure you are serving the app via `ng serve`.\n\n## Further help\n\nTo get more help on the Angular CLI use `ng help` or go check out the [Angular CLI README](https://github.com/angular/angular-cli/blob/master/README.md).\n\n## Using convai-checker as a webcomponent\n\nAngular Elements is a new experimental API that allows exporting Angular\ncomponents as webcomponents. This repo includes a demo of this functionality\nwith the convai-checker component. To see it, do the following:\n\n1. Build with the command `yarn run build:dev-customElements`.\n2. Run `yarn run start:dev-server`\n3. Open http://localhost:8080/index_with_elements.html.\n\nTODO(rachelrosen): Document and demo how to add convai-checker webcomponent outside of the angular-cli build using the imported compiled javascript.\n\n### Publishing the webcomponent\n\nTo publish a new version of the convai-checker webcomponent, that can be used as a plugin in other websites (e.g. WordPress):\n1. Run `yarn run build-plugin-js`.  This will concatenate all JavaScript files into one `build/static/perspective_authorship_widget.js` file.\n2. Copy the new JavaScript to GCS with `gsutil cp build/static/perspective_authorship_widget.js gs://checker_source/`\n3. Copy asset files (emoji images) to GCS with `gsutil cp src/assets/* gs://checker_source/assets`\n4. 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\n\n## Publishing to npm\n\nTo package the library for publication, we use [ng-packagr](https://github.com/dherges/ng-packagr).\n\nRun `yarn run packagr` to build the javascript bundles, which will generate a\n`dist/` directory. Then run `npm publish dist` to publish the contents of that\ndirectory.\n\n### Important note\n\nWhen using this library in another package, in order to access the image assets\nfor emoji mode, you must add the assets from this package to the assets in your\nangular.json:\n\n\"assets\": [\n   {\n     \"glob\": \"*\",\n     \"input\": \"node_modules/@conversationai/perspectiveapi-authorship-demo/src/assets\",\n     \"output\": \"./assets\"\n   }\n]\n\nSee https://github.com/angular/angular-cli/issues/3555#issuecomment-285187411\nand https://github.com/angular/angular-cli/pull/4691 for more info.\n\n## Notes\n\nThis is example code to help experimentation with Perspective API; it is not an official Google product.\n","readmeFilename":"README.md"}