RTPA - Real-Time Parking Availability

RTPA is a real-time application that fetches the availability of parking lots in Singapore and displays it on an interactive map.

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High Lvel Architecture

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Pre-requisites

1. LTA DataMall Account

This repo uses real-time data provided by LTA Data Mall. In order to run the code, you will need to request an AccountKey.

2. Running Kafka and Zookeeper Images

This project requires a Kafka cluster to produce / consume data from. docker-compose-kafka.yml provides an easy way to set up a cluster using the following bitnami docker images.

1. bitnami-kafka
2. bitnami-zookeeper

docker-compose -f docker-compose-kafka.yml up -d

3. Creating a topic in Kafka

Since bitnami kafka image doesn't provide a way to create topics on start up, we have to start zookeeper and kafka first and manually create the topic.

# Start a session in the kafka container
docker container exec -it rtpa_kafka_1 /bin/bash

# List existing topics
/opt/bitnami/kafka/bin/kafka-topics.sh --list --zookeeper zookeeper:2181 

# Create a topic called rtpa
/opt/bitnami/kafka/bin/kafka-topics.sh --create --zookeeper zookeeper:2181 --topic rtpa --replication-factor 1 --partitions 1

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RTPA Docker Images

You can get the pre-built images from the Docker Hub. You can also rebuild the images locally with the following steps.

Building images

In order to build the images, you will need the following developer tools installed.

• scala 2.12.x
• node 12.x

./docker-build.sh

This will build the following docker images.

1. rtpa-backend - Kafka Producer + Spark Consumer
2. rtpa-converter - NodeJS App that converts time series data to GeoJSON
3. rtpa-ui - Mapbox JS based HTML served from Nginx server

Alternativelty, you can get the pre-built images from the Docker Hub.

Running images

1. Modify the environment variables and volume mounts (optional) in docker-compose.yml (using images from Docker Hub) or docker-compose-local.yml (using locally built images).

   • DATAMALL_API_KEY - Required. AccountKey provided by LTA Datamall
   • RTPA_CSV_PATH - Optional. Directory containing CSV carpack data, produced by rtpa-backend and consumed by rtpa-converter
   • RTPA_GEOJSON_PATH - Optional. Directory containing geojson carpack data, produced by rtpa-converter and consumed by rtpa-ui
   • PRODUCER_TRIGGER_INTERVAL_MINUTES - Optional. Determines how often the producer calls the DataMall APIs and writes to the Kafka topic
   • CONSUMER_TRIGGER_INTERVAL_MINUTES - Optional. Determines how often the consumers reads the data from Kafka topic

2. Run the docker images.

   If you are using the images from Docker Hub,

   docker-compose up -d

   If you are using the local images,

   docker-compose -f docker-compose-local.yml 

3. The web application is now LIVE at http://localhost. You may need to wait a few minutes for the first batch of data to come through depending on your PRODUCER_TRIGGER_INTERVAL_MINUTES and CONSUMER_TRIGGER_INTERVAL_MINUTES settings.