The recent decade has witnessed the birth of social media ecosystems that brings social organizations, media content and various stakeholders together, and now it appears significant advantages of comprehensiveness, diversity and wisdom that provide users with higher quality of experiences. Meanwhile, social media ecosystems suffer from security, privacy and trustworthiness threats. How to leverage the power of intelligent crowds to improve the ecosystem’s efficacy and efficiency, as well as ensure its security and privacy become burning and challenging issues.
Clone the repository.
git clone https://github.com/scorelab/fact-Bounty.git
Change directry to the folder.
cd fact-Bounty/
Run npm install in fact-bounty-client folder.
cd fact-bounty-client/
npm install
- Python3 - A programming language that lets you work more quickly (The universe loves speed!).
- Flask - A microframework for Python based on Werkzeug, Jinja 2 and good intentions
- Virtualenv - A tool to create isolated virtual environments
- SQLite - An in-process library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine
- Elasticsearch - A search engine based on the Lucene library
- Minor dependencies can be found in the requirements.txt file.
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First ensure you have python3 globally installed in your computer. If not, you can get python3 here.
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After this, ensure you have installed virtualenv globally as well. If not, run this:
$ pip install virtualenv
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- Create and fire up your virtual environment in python3:
$ virtualenv -p python3 venv $ source venv/bin/activate
For *Windows* you can use -
$ venv/Scipts/activate.bat
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Create a .env file and add the following:
export FLASK_APP="app.py" export SECRET_KEY="some-very-long-string-of-random-characters-CHANGE-TO-YOUR-LIKING" export FLASK_ENV="development" export FLASK_CONFIG="development" export DEV_DATABASE_URL="" export TEST_DATABASE_URL="" export DATABASE_URL="" export ELASTIC_SEARCH_URL="" export ELASTIC_SEARCH_USERNAME="" export ELASTIC_SEARCH_PASSWORD=""
Save the file.
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(venv)$ pip install -r requirements.txt
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(venv)$ pre-commit install
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On your terminal, run the server using this one simple command:
(venv)$ flask run
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Browse to db folder and run:
(venv)$ python add_es.py
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(venv)$ wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-6.7.0.deb (venv)$ wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-6.7.0.deb.sha512 (venv)$ shasum -a 512 -c elasticsearch-6.7.0.deb.sha512 (venv)$ sudo dpkg -i elasticsearch-6.7.0.deb
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(venv)$ ps -p 1
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Use the update-rc.d command to configure Elasticsearch to start automatically when the system boots up:
(venv)$ sudo update-rc.d elasticsearch defaults 95 10
Elasticsearch can be started and stopped using the service command:
(venv)$ sudo -i service elasticsearch start (venv)$ sudo -i service elasticsearch stop
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To configure Elasticsearch to start automatically when the system boots up, run the following commands:
(venv)$ sudo /bin/systemctl daemon-reload (venv)$ sudo /bin/systemctl enable elasticsearch.service
Elasticsearch can be started and stopped using the service command:
(venv)$ sudo systemctl start elasticsearch.service (venv)$ sudo systemctl stop elasticsearch.service
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CURL
request:(venv)$ curl -X GET "localhost:9200/"
or open https://localhost:9200
Use two terminals, one for fact-bounty-flask and the other for fact-bounty-client.
Run the flask server in the fact-bounty-flask folder:
(venv)$ flask run
start the npm server in fact-bounty-client directory.
npm start
And use localhost:3000 to browse.
NOTE: This version is only supporting for Chrome browser. And make sure to instal the extension -> Redux Dev Tools in chrome extension library.
- Set DEV_DATABASE_URL as environment variable in fact-bounty-flask else it will connect to default i.e
data-dev.sqlite
. - In the root of the project directory, run
docker-compose build
- If you are on Linux machine, execute the following steps to install compose.
sudo curl -L https://github.com/docker/compose/releases/download/1.17.0/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose sudo chmod +x /usr/local/bin/docker-compose
- If you are on Linux machine, execute the following steps to install compose.
- Once build completes, run
docker-compose up
- First fork the repository and clone it.
- You can open issue regarding any problem according to the given issue template.
- Make changes and do the PR according to the given template.