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Welcome to GreenBlitz's Scouting System

Installation Instructions

Prerequisites

Docker

Follow the appropriate installation instructions for your operating system

Docker-Compose

Follow the appropriate installation instructions for your operating system

Disclaimer Regarding Docker & Docker-Compose

If you configured docker and docker-compose correctly you might not need to run all your docker commands with sudo. If this is the case ignore all of the sudo prefixes to docker commands. A good way to test it is to run: docker ps. if it returns a list of machines (whether empty or filled with different virtual machines) it's a sign you configured docker correctly. If docker complains about a not being able to connect to the Docker daemon, don't worry. Just run all your docker commands with a sudo prefix and you should be just fine :D

Install

That is it. Now you are ready to deploy your first scouting system ! :D It's as easy as:

  1. cd <ROOT_REPOSITORY_CLONE_DIRECTORY>
  2. If this is your first time installing the system run: ./elasticsearch_fix.sh
  3. sudo docker-compose up
  • Your webapp will be found under the port 3000
  • Your elastic search cluster will be found under the port 9200
  • Your kibana instance will be found under the port 5601

Enjoy!

DB Dumps

Dump Data

Dumps the current elastic search and kibana data to a dump file. The default file path is in db_dumps and the name of the dump file will contain thee timestamp from the time it was created.

usage: dumpAllData.py [-h] [--host HOST] [--port PORT] [--filepath FILEPATH]

Reads all data from a scouting database and dumps it into a pickle file

optional arguments:
  -h, --help           show this help message and exit
  --host HOST
  --port PORT
  --filepath FILEPATH

If this is the first time you are running this script you may need to install the python module elasticsearch. In a Linux os this could be installed through: sudo pip install elasticsearch

Insert Data

Inserts the data stored in the specified dump file to an elastic search cluster and a kibana instance.

usage: insertData.py [-h] [--host HOST] [--port PORT] filepath

Reads a database dump file and inserts it into a current live database

positional arguments:
  filepath

optional arguments:
  -h, --help   show this help message and exit
  --host HOST
  --port PORT

e.g. python insertData.py db_dumps/currentDump.p If this is the first time you are running this script you may need to install the python module elasticsearch. In a Linux os this could be installed through: sudo pip install elasticsearch

Shutting Down the system

Simply press Ctrl^C to allow all the machines to terminate gracefully. If you run sudo docker-compose up again in the same directory you will find that all of your data is safe :D When you truly wish to delete your data completely and remove all of the virtual machines created by the system run: sudo docker-compose down This is very dangerous as it deletes your entire databasee in just under 5 seconds. Be careful.

Youtube Record Stream Script Instructions

Prerequisites

  1. To download the youtube-dl tool run sudo ./get-youtube-dl.sh
  2. Compile ffmpeg from source - Use the apropriate guide for your operating system.
  • When running the final ./configure command e.g. in this Ubuntu Guide add --enable-openssl to the list of flags

Usage

To Download a video, pleasee configure the recordGame.sh script correctly and run it like so: ./recordGame.sh <GAME_ID>.mp4 where <GAME_ID> is a number that represents the gamee's ID in the system. To configure the script correctly set 2 environment variables:

  1. export YOUTUBE_STREAM_URL=<YOUTUBE_STREAM_URL> where <YOUTUBE_STREAM_URL> is the url you get from right clicking the video in youtube and copying the video url
  2. export YOUTUBE_STREAM_FORMAT=<YOUTUBE_STREAM_FORMAT> where <YOUTUBE_STREAM_FORMAT> is the integer value for the format you choose following the command ./youtube-dl-script <YOUTUBE_STREAM_URL> e.g. 95

Now run ./recordGame.sh 1.mp4 for example. To cut off the live recording press Ctrl^C. Remember to use only one Ctrl^C when closing the ffmpeg stream recording.

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