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Jire: Reservation System for Jitsi Meet

From github.com/jitsi/jicofo:

It is possible to connect Jicofo to external conference reservation system using REST API. Before new Jitsi-meet conference is created reservation system will be queried for room availability. The system is supposed to return positive or negative response which also contains conference duration. Jicofo will enforce conference duration and if the time limit is exceeded the conference will be terminated. If any authentication system is enabled then user's identity will be included in the reservation system query.

Jire does this for you.

Screenshot of the configuration interface

Features

  • Create room reservations
  • System checks for overlapping reservations and conferences

To be implemented

  • Edit or reschedule a reservation
  • Allow users to login and and manage their own conferences

Note: Conferences created without a reservation are set to a duration of 6 hours by default.

Run with Docker

docker build -t jire:latest .
docker run -v "$(pwd)"/log:/opt/venv/log "$(pwd)"/data:/opt/venv/data -p 8080:8080 jire:latest

Configure Jitsi Meet

If you use docker-jitsi-meet you need to change the following lines in .env:

JICOFO_RESERVATION_ENABLED=true
JICOFO_RESERVATION_REST_BASE_URL=<url-to-your-jire>

If you want to add Jire to your existing docker-jitsi-meet setup you could use the following compose file:

version: '3'

services:
  jire:
    image: jire:latest
    restart: unless-stopped
    volumes:
      - ./log:/opt/venv/log
      - ./data:/opt/venv/data
    ports:
      - 127.0.0.1:8080:8080
    environment:
      - PUBLIC_URL=https://meet.example.com

networks:
    default:
        external:
            name: jitsi-meet_meet.jitsi

And set the endpoint in .env with

JICOFO_RESERVATION_REST_BASE_URL=http://jire:8080

Restart jicofo and you're good to go.

Run with gunicorn

pip install gunicorn
exec gunicorn -b :8080 main:app

Development

This is a work in progress, pull requests are welcome.

Install with python setup.py develop and run with flask run.

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