runner

The program that runs the games using docker and store the logs and events in S3 and RabbitMQ.

Development

1. Clone the repository
2. Create a virtual environment

   python3 -m pipenv install
   python3 -m pipenv shell

3. Copy the .env.example file to .env and update the values
4. Run the docker-compose file

   docker-compose up -d

5. Run the program

   pipenv run python runner.py

Testing

• To access the RabbitMQ Manager in the test environment, use the following link: http://localhost:15672/ the username and password are in the .env file. demo username: test demo password: test

• To access the Minio in the test environment, use the following link: http://localhost:9000/ the access key and secret key are in the .env file. demo access key: minioadmin demo secret key: minioadmin

• test commands example

  pipenv run python ./test.py name_test

TODO

RUN Match

• check the validation of the message
• loop trough all the keys in the message and add "client" field to external connections
• if the external connection is not available, create the connection class and put it on client field
• run the match
• create tasks for streams

listen to the rabbitmq queue

on message received, log the message

if the message is shutdown, exit the loop

if the message is to stop the match, stop the match

if the message is to start a new match, start a new match

to start a new match, first check the massage format is correct

if the message format is incorrect, let the rabbitmq know that the message format is incorrect

if the match is already running, let the rabbitmq know that the match is already running

if the message format is correct, retrieve the team details

if the team details are correct, get the teams images from docker hub

if the images are not available, download the images from docker registry

if the images are available, start the match with the given configuration

let the rabbitmq know that the match has started

if the match is stopped, let the rabbitmq know that the match has stopped

if the match ends, let the rabbitmq know that the match has ended

check the massage for the log and event storage configuration

upload the log and event of the match to S3

let the rabbitmq know that the match has been uploaded to S3