Data Scope is a data mashup framework meant to facilitate the execution of complex search queries. Think about search queries like: “which websites name at least three experts from field X?”, “which websites support stance X?”, “what are iconical images for X in culture A, B & C?” and “which people are known for similar reasons that person X is known for?”. Data Scope allows a programmer to reach over walled gardens of information that he/she may need and combine the information into new information. Due to its nature Data Scope is very suitable for software that tries to break out of filter bubbels.
This is the environment that you should have on your machine before installing Data Scope.
Optionally you may also want to install
- PhantomJS (for web scraping)
After cloning this repo to the machine you want to install Data Scope on. Activate the environment where you want to install Data Scope into. Then go into the repo directory and run the following for a local install.
cp datascope/environments/local_bootstrap.py datascope/bootstrap.py cp datascope/environments/local_settings.py datascope/settings.py cp datascope/environments/secrets_example.py datascope/secrets.py pip install -r datascope/environments/local_requirements.txt
Alternatively you can change
local in these commands to
for an installation in the Digital Ocean or Wikipedia cloud respectively.
Then edit the
to correct the setup of the machine/cloud.
After this you need to setup the services used by Datascope through Docker. You can run:
docker volume create --name postgres-data docker-compose up --build
When the services are created by Docker for the first time you can run the following docker-compose command to restart services.
Depending on which project you're working on you may want to run additional installation steps. These steps are outlined in the readme's of these projects. Below are the links to all current projects:
The roadmap can be followed by keeping an eye on the project boards of this repo on GitHub.