Interview Chatbot and Resume

This is a very simple webhook and resume that is designed to work with the IBM Watson Assistant.

Requirements

• Docker
• Docker-Compose
• Python 3

Webhook

The webhook will accept a JSON request with a parameter called: timezone. Based on this, it will return your local time, and the current time in UTC back to the chatbot.

Example flow:

User: What time is it?
Chat bot: Your timezone is America/Toronto, it's +4 hours from UTC. Your local time is <X> and UTC time is <Y>.

You can view the docs at: https://jrdemo-c4a24be17d2b0bfc980895fd31267ec3-0000.mon01.containers.appdomain.cloud/api/docs

Development Tools and Libraries (webhook)

You can prepare the environment by running the following commands:

cd webhook/
pip install -r requirements-debug.txt

Building the Application

You can build the application and push it to a registry by running the following:

docker-compose build
docker-compose push

If you update .env you can ovveride the default registry.

Deploying the Application

This application is deployed to a Kubernetes cluster. It makes use of basic Ingress, Services, and Deployments. It does not store any data.

You will need to configure helm and have it connected to your Kubernetes cluster

helm upgrade webhook charts/webhook --install
helm upgrade resume charts/resume --install

Using Postman

A postman collection is provided in the postman directory. This collection provides a few sample requests that can be used when running docker-compose up.

Note: Docker will port-forward 127.0.0.1:8000 -> <container>:8000

Running Lint Checker

You can run the lint checker by calling flake8 from within the webhook/src directory.

This is automatically performmed when running docker-compose build

flake8

Running Unit Tests

You can run the unit tests by calling pytest from within the webhook/src directory.

This is automatically performmed when running docker-compose build

pytest