Sample App: Code Clean up (#5948)

* 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

.gitignore

@@ -20,7 +20,7 @@ hack/__pycache__
 !/blog/overrides/partials/source-file.html
 !/blog/overrides/partials/content.html
 /blog/docs/stylesheets/
-/node_modules/
+node_modules
 venv/
 
 # TODO clean up images copied between blog/ and docs/
@@ -36,4 +36,3 @@ maven-wrapper.jar
 
 # Ignore Python virtual environments
 .venv
-/code-samples/eventing/bookstore-sample-app/db/bookstore-eda/node_modules/*