Data Privacy API

Requires Python 3.3+

(Recommended) Run the application in a Docker container:

$ docker build -t dpapi:v0.10 .

$ docker container run -dp 8501:8501 dpapi:v0.10

(Open a browser and use URL http://localhost:8501)

Create a new virtualenv named ".env" and activate it

$ python3 -m venv .env

$ virtualenv .env

$ source .env/bin/activate

Run the setup.sh to install dependencies

$ chmod u+x setup.sh

$ ./setup.sh

To run the API server

$ python3 privacy_api.py

To run the demo

$ streamlit run demo.py

Use browser to open http://localhost:8501

To run the test, use the following script

$ chmod u+x test_basic.sh

$ test_basic.sh

The test data (request body) is in the following file:

$ examples/body.json

To generate more test data

$ python generate_message.py

$ python generate_message.py test.json --person True --phone True

Generated data file is saved into example/ directory.

To run the api on test data

$ curl -i -H "Content-Type: application/json" -X POST --data @examples/test.json http://127.0.0.1:5000/data/api/v0.1/classify