README.md

PLP

A decision-making aid for sportive bets, which uses Machine Learning and Statistics to help you get the best out of your bets.

Launch the project

Dev environment

Run: docker-compose -f docker-compose.yml -f development.yml up -d

Prod environment

Run: docker-compose -f docker-compose.yml -f production.yml up -d

CI

Jenkins

Initialisation :

• Jenkins server at plp_jenkins.IPAddress on port 8080
• Connect to Jenkins server with initial admin password in plp_jenkins:/var/jenkins_home/secrets/initialAdminPassword
• Install recommended plugins (pipeline plugin necessary)

Create two items :

• Odds :

  • Build triggers
    • Build Periodically : H * * * * (every hour)
  • Pipeline
    • Definition : Pipeline Scipt from SCM
    • SCM : Git
    • Repository URL : https://github.com/M-Garrigues/PLP.git
    • Branches to build : select adequate branch
    • Script Path : etc/jenkins/Jenkinsfile.odss

• ML :

  • Build triggers
    • Build Periodically : H 2 1,8,15,22,28 * * (once a week at 2 am)
  • Pipeline
    • Definition : Pipeline Scipt from SCM
    • SCM : Git
    • Repository URL : https://github.com/M-Garrigues/PLP.git
    • Branches to build : select adequate branch
    • Script Path : etc/jenkins/Jenkinsfile.getDatas