The system allows individual users to form communities, create groups, participate in various activities defined in the community/group, and thus, enhance its value for the society in terms of education.

• Python 3.6
• Django 1.11.7
• MySQL Server
• Django REST Framework
• django-role-permissions 2.1.0
• python-decouple 3.1
• PyEtherpad Lite
• social-auth-app-django 2.1.0
• django-comments-xtd 2.0.9
• django-contrib-comments 1.8.0
• django-machina 0.6.0
• django-reversion 2.0.10
• django-reversion-compare 0.8.1
• django-mptt 0.8.7
• django-notifications-hq 1.4.0
• django-activity-stream 0.6.5
• django-jsonfield 1.0.1
• django-widget-tweaks 1.4.1
• django-cors-headers 2.1.0
• Django Wiki 0.3.1
• Gunicorn
• Oauthlib
• Pillow
• Requests
• Elasticsearch
• Celery
• RabbitMQ

1. Install virtualenv

   	sudo pip3 install virtualenv 

2. Clone the project from github

   	git clone https://github.com/fresearchgroup/Collaboration-System.git 

3. Create a virtual env ---

    	virtualenv collab -p python3 

4. Activate the virtual environment --

   	source collab/bin/activate

5. Install the requirements.txt --

   	pip3 install -r Collaboration-System/requirements.txt

6. Install mysql server --

   	$ sudo apt-get update
   	
   	$ sudo apt-get install mysql-server
   
   	$ sudo apt-get install libmysqlclient-dev
   
       $ mysql -u root -p
   
       Enter password=root
   	
   mysql> create database collaboration;
       mysql> use collaboration;
       mysql> source collab.sql   
   

7. Create a .env inside CollaborationSystem and paste the following -

      		sudo nano .env

       SECRET_KEY=myf0)*es+lr_3l0i5$4^)^fb&4rcf(m28zven+oxkd6!(6gr*6
       DEBUG=True
       DB_NAME=collaboration
       DB_USER=root
       DB_PASSWORD=root
       DB_HOST=localhost
       DB_PORT=3306
       ALLOWED_HOSTS= localhost
       GOOGLE_RECAPTCHA_SECRET_KEY=6Lfsk0MUAAAAAFdhF-dAY-iTEpWaaCFWAc1tkqjK
       EMAIL_HOST=localhost
       EMAIL_HOST_USER=
       EMAIL_HOST_PASSWORD=
       EMAIL_PORT=25
       EMAIL_USE_TLS=False
       [email protected]
       SOCIAL_AUTH_GOOGLE_OAUTH2_KEY=735919351499-ajre9us5dccvms36ilhrqb88ajv4ahl0.apps.googleusercontent.com
       SOCIAL_AUTH_GOOGLE_OAUTH2_SECRET=I1v-sHbsogVc0jAw9M9Xy1eM
   	LOG_TYPE=TOSERVER
   	LOG_PROTOCOL=http
   	LOG_ADDRESS=logstash
   	LOG_PORT=5000
   	LOG_STORE=debug.log
   	LOG_USE_PROXY=False
   	URL_BASIC=http://localhost:8000/
   	PAGE_SIZE=1000
   	MAX_PAGE_SIZE=10000
   	EVENTAPI_TOKEN_USERNAME=eventloguser
   	EVENTAPI_TOKEN_PASSWORD=eventlogpass
   	EVENT_API_TOKEN=
   	ELASTICSEARCH_ADDRESS=
   	
   	NODESERVERURL=http://localhost
   	NODESERVERPORT=9001
   	COLLAB_ROOT=http://localhost:7000
   	H5P_ROOT=http://localhost:8000
   	APIKEY=ae0135343b703000e7377f8438e5f1154dcdc2ffc434268729203764cfe28b26
   

8. Do all the migrations --

   	python3 manage.py migrate

9. Runserver --

   	python3 manage.py runserver

For manual installtion -- https://fresearchgroup.github.io/docs-collaboration-system/

For automated installation using nginx and gunicorn- https://github.com/abhisgithub/django-nginx-installation-script

-- Install Docker and Docker-Compose from --

    Docker - https://docs.docker.com/install/linux/docker-ce/ubuntu/#set-up-the-repository

    Docker Compose -- https://docs.docker.com/compose/install/

1. Clone the repository --

   	git clone https://github.com/fresearchgroup/Collaboration-System.git

2. The run the following commands inside the repository --

   
   	docker-compose build
   
   	docker-compose up db
   
    	docker exec -i <container-image-name> mysql -u<username> -p<password> django < collab.sql
   
   	docker-compose run web python manage.py migrate
   
   	docker-compose run web python manage.py createsuperuser
   
   	docker-compose run web python manage.py loaddata workflow roles faq
   
   	docker-compose up
   

To set-up event logging for this system, please refer to the installation steps given in the repository link given below: https://github.com/fresearchgroup/Collaboration-System-Event-Logs

To create and edit interactive content (H5P) and to enable real-time collaborative editing of articles, please refer to the installation steps given in the repository link given below: https://github.com/fresearchgroup/Community-Content-Tools

This system is used to recommend articles based on his/her activity in the sytem. Please refer to the installation steps given in the repository below: https://github.com/fresearchgroup/Community-Recommendation