mirror of https://github.com/knative/docs.git
638cbfbd20
* Fix the content in the bad word filter knative function code * Remove the unused import * Adding the action for the button in the front end, so that the new review comment can be delivered to the review service. * enable cors * Install cors * fix: configure node.js so that it won't be restricted by CORS policy * fix: add hardcoded the address for the review service * feat: the yaml files to run the front end in the k8s cluster * fix: fix the wrong command in the docker file * fix: change the naming convention * fix: update knative slack sink to use the value from secret * fix: change the name for the front end application package * fix: update the event type for the outputs of the ML workflows * fix: create the sequence and trigger for the ML workflow * fix: change the input key to reviewText * fix: change the event type for the input cloudevent * fix: set up the trigger that will filter out the bad comment and send them to the event display * feat: add the loading state for the front end * feat: expose the postgresql service as headless service, so we can use the statefulset's name as the host url * fix: format fix, and also make sure the sentiment analysis result is all lower case * feat: update to use websocket for the comment area * feat: add Kuack to the bookstore as advised by UX WG * feat: add kuack to the bookstore * feat: add the new timing format and also set up the status badge * feat: make sure all the ML output are lower case * feat: styling change * feat: add the database insertion logic * fix: update to use kafka broker * feat: add the quickstart setup script * fix: use deployment instead of knative service * fix: Send the reply as cloud event back to broker * fix: Go back to use MT broker * fix: Restructure the code * fix: Restructure the code * Save progress: TODO: will confirm whether use the pre-built images or build the images locally * fix: change the naming of the files * fix: cut the pulling rate of the websocket * fix: front end clean up and change the error message * fix: change the port to 8080 * fix: fix the setup script * fix: update the front end port to use 80 as the nodeserver, as trigger default to use 80, instead of 8080. * fix: trigger default to use 80, and cannot use customized port 8080. * fix: renaming and use the pre-built image * fix: update the naming and add comments to the yaml * feat: move the code to solution folder * feat: add the start folder * fix: the deployment file is not in the /start folder * fix: shorten the bad word filter name * fix: shorten the bad word filter name * fix: delete the deployment files for ML workflows * fix: add the port 8080 * fix: use Service instead of deployment when setting up temp trigger * fix: add the missing deployment yaml for /start * fix: add the shortcut script in the /start folder * fix: change the favicon to kuack to improve the reader's experience |
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| app | ||
| client | ||
| config | ||
| public/images | ||
| .eslintrc.json | ||
| .gitignore | ||
| Dockerfile | ||
| README.md | ||
| next.config.mjs | ||
| package-lock.json | ||
| package.json | ||
| postcss.config.js | ||
| tailwind.config.ts | ||
| tsconfig.json | ||
README.md
Getting Started
This app use Next.js and TailwindCSS as main packages. Use this command to install all dependencies:
npm install
To run application, use:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
Project Structures
- app/: Contains the main layout, page, and global styling.
- client/: Contains components and pages used in the application.
- public/images/: Contains image files.
- next-env.d.ts, next.config.mjs, package-lock.json, package.json, postcss.config.js, tailwind.config.js, tsconfig.json: Configuration files for Next.js, Tailwind CSS, and TypeScript.
Containerize Application
This repository contains a Next.js application that utilizes next-themes and Tailwind CSS. This README file provides instructions on how to containerize the application using Docker.
Prerequisites
- Docker installed on your machine. You can download and install Docker from here.
Dockerization Steps
- Clone this repository to your local machine.
- Navigate to the root directory of the cloned repository.
Building the Docker Image
Run the following command to build the Docker image:
docker build -t frontend .
Running the Docker Container
Once the image is built, you can run a container using the following command:
docker run -d -p 3000:3000 frontend