python-tilt | Transparency Information Language and Toolkit

What is the Transparency Information Language and Toolkit?

With this proposed schema for transparency information with regards to data privacy, an essential step towards a sophisticated ecosystem shall be made by introducing a transparency enhancing toolkit based on a formal language model describing transparency information in the context of multi-service environments and latest legal requirements (EU General Data Protection Regulation). The desired results of the work should be suitable as ready-to-use privacy engineering solutions for developers and serve as a starting point for further research in this area. Eventually, data subjects should (be able to) understand what happens to data relating to them by using the interfaces of the toolkit.

What is python-tilt?

tilt is a Python based language binding for the Transparency Information Language and Toolkit.

Installation

Install the python client library using pip. See the project page.

foo@bar:~$ pip3 install tiltCollecting tilt Using cached tilt-0.0.1-py3-none-any.whl (22 kB)Installing collected packages: tiltSuccessfully installed tilt-0.0.1

Basic usage

See here for an interactive playground , in which you can run python-tilt in a Juypter notebook.

1. Import the transparency information language binding/library.
2. Create your first object, e.g. a Data Protection Officer with their contact details.
3. Continue creating your objects, i.e. a Controller and its Representative.
4. ... (add all other fields, not shown in here) ...

fromtiltimporttiltdpo=tilt.DataProtectionOfficer(name='Max Ninjaturtle', address='21 Jump Street', country='DE', email='jane@mycompany.com', phone='0142 43333')
print(dpo.to_dict())
# {'address': '21 Jump Street', 'country': 'DE', 'email': 'jane@mycompany.com', 'name': 'Max Ninjaturtle', 'phone': '0142 43333'}r=tilt.ControllerRepresentative(name='Maxi Müller', email='maxi@mail.com', phone=None)
c=tilt.Controller(name='MyCompany', address='Straße des 17. Juni', country='DE', division='Main', representative=r)
print(c.to_dict())
# {'address': 'Straße des 17. Juni', 'country': 'DE', 'division': 'Main', 'name': 'MyCompany', 'representative': {'email': 'maxi@mail.com', 'name': 'Maxi Müller', 'phone': None}}

Import existing documents

In order to import exisiting tilt documents (we call them instances), you can use your favorite HTTP client or load from your local disk. Then you can use the native python objects and do any manipulations as you like.

importjsonimportrequestsfile=requests.get('https://raw.githubusercontent.com/Transparency-Information-Language/schema/master/tilt.json')
instance=tilt.tilt_from_dict(json.loads(file.content))
print(instance.controller.to_dict())
# {'address': 'Wolfsburger Ring 2, 38440 Berlin', 'country': 'DE', 'division': 'Product line e-mobility', 'name': 'Green Company AG', 'representative': {'email': 'contact@greencompany.de', 'name': 'Jane Super', 'phone': '0049 151 1234 5678'}}forelementinlist(instance.data_disclosed):
forrecipientinelement.recipients:
print(recipient.category)
# Marketing content provider# Responsible Statistical Institutesinstance.controller.name='Yellow Company Ltd.'print(instance.controller.to_dict())
# {'address': 'Wolfsburger Ring 2, 38440 Berlin', 'country': 'DE', 'division': 'Product line e-mobility', 'name': 'Yellow Company Ltd.', 'representative': {'email': 'contact@greencompany.de', 'name': 'Jane Super', 'phone': '0049 151 1234 5678'}}

Create new documents from scratch

In the example below we are using standard libraries (e.g. sha256 or datetime) in order to create formatted strings. All objects have from_dict() and to_dict() functions which help you to build or export them.

fromhashlibimportsha256fromdatetimeimportdatetimeresult= {}
result["_hash"] =sha256('<insert hashable content here>'.encode('utf-8')).hexdigest()
result["_id"] ='<your-id-01>'result["created"] ='2020-10-02T22:08:12.510696'result["language"] ='en'result["modified"] =datetime.now().isoformat()
result["name"] ='Green Compancy SE'result["status"] ='active'result["url"] ='https://greencompany.implementation.cloud'result["version"] =42meta=tilt.Meta.from_dict(result)
print(meta)
# <tilt.tilt.Meta object at 0x7fef287928d0>print(meta.to_dict())
# {'_hash': 'bd8f3c314b73d85175c8ccf15b4b8d26348beca96c9df39ba98fa5dda3f60fcc', '_id': '<your-id-01>', 'created': '2020-10-02T22:08:12.510696', 'language': 'en', 'modified': '2020-07-27T15:14:35.689606', 'name': 'Green Compancy SE', 'status': 'active', 'url': 'https://greencompany.implementation.cloud', 'version': 42}

Validate documents

See the following example code on how to validate documents using fastjsonschema.

importfastjsonschemaimportjsonimportrequests# Load schema to validate againstfile=requests.get('https://raw.githubusercontent.com/Transparency-Information-Language/schema/master/tilt-schema.json')
schema=json.loads(file.content)
# Load instance/document to validate;# you may use your own tilt object with .to_dict() herefile=requests.get('https://raw.githubusercontent.com/Transparency-Information-Language/schema/master/tilt.json')
instance=json.loads(file.content)
# Compile schemavalidate_func=fastjsonschema.compile(schema)
# Validate instance against schemavalidate_func(instance)
## {'meta': {'_id': 'f1424f86-ca0f-4f0c-9438-43cc00509931', 'name': 'Green Company', 'created': '2020-04-03T15:53:05.929588', 'modified': '2020-04-03T15:53:05.929588',...## => document is valid# Load another examplefile=requests.get('https://raw.githubusercontent.com/Transparency-Information-Language/schema/master/tilt-NOT-valid.json')
instance=json.loads(file.content)
# Validate another examplevalidate_func(instance)
## JsonSchemaException: data.controller must contain ['name', 'address', 'country', 'representative'] properties## => document is invalid

Author

Elias Grünewald

License

MIT License