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This bot detects parking intends and suggest possible parking locations based on requester location data

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WoN-Hackathon-2019/won-parking

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Web of Needs parking bot

This bot is a pre step to build a smart city, where connected cars communicate with parking positions using the Web of Needs technology.

In order to work properly it is needed to implement a client software. Until there is a connected car standard, every provider can implement solutions based on there ecosystem and software stack.

The Bot is a Spring Boot Application.

Running the bot

Prerequisites

  • Openjdk 8 - the method described here does not work with the Oracle 8 JDK!
  • Maven framework set up

On the command line

cd bot-skeleton
export WON_NODE_URI="https://hackathonnode.matchat.org/won"
mvn clean package
java -jar target/bot.jar

Now go to What's new to find your bot, connect and create an atom to see the bot in action.

In Intellij Idea

  1. Create a run configuration for the class won.bot.skeleton.SkeletonBotApp
  2. Add the environment variables
  • WON_NODE_URI pointing to your node uri (e.g. https://hackathonnode.matchat.org/won without quotes)

to your run configuration.

  1. Run your configuration

If you get a message indicating your keysize is restricted on startup (JCE unlimited strength encryption policy is not enabled, WoN applications will not work. Please consult the setup guide.), refer to Enabling Unlimited Strength Jurisdiction Policy to increase the allowed key size.

Optional Parameters for both Run Configurations:
  • WON_KEYSTORE_DIR path to folder where bot-keys.jks and owner-trusted-certs.jks are stored (needs write access and folder must exist)

Start coding

Once the skeleton bot is running, you can use it as a base for implementing your own application.

Setting up

  • Download or clone this repository
  • Add config files

Please refer to the general Bot Readme for more information on Web of Needs Bot applications.

Collaboration

  • this bot uses EasyCLI for chat command handling

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This bot detects parking intends and suggest possible parking locations based on requester location data

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