UWBot is a chatbot that provides University of Waterloo related information in a interactive way! Currently it supports:
- Course prerequisites
- Course sections
- Course section schedule
- Course offerings
- Course enrollments
UWBot uses Dialogflow's NLP engine to interact with users and provides various front ends that users can use. Currently following front-ends are supported:
- Facebook Messenger
This repository contains fulfillment code for the bot. It is a webhook service that helps the bot provide dynamic information regarding the University of Waterloo.
The project is using GO 1.13 modules!
To build the project:
go build To simply run the project:
go run main.goThis webhook service can be used and deployed in two ways. The first way is a persistent http server and send one is AWS Lambda. The usage is controlled by environment variable.
The project uses gin framework to create an HTTP server that accepts POST requests and sends responses back. No configurations are needed and simply running the project will start the server. It uses port 8080. Before running, make sure to set up environment variable UW_API_KEY which is API key need to access University of Waterloo data.
The project has lambda handler that receives APIGatewayProxyRequest and sends APIGatewayProxyResponse. When this lambda is paired with AWS API Gateway, it creates webhook that can be triggered. Make sure to set up AWS_LAMBDA_USE environment variable for the lambda because this signals the app to use Lambda environment. Make sure to also set up environment variable UW_API_KEY which is API key need to access University of Waterloo data.