Skip to main content

Python wrapper for the Zenroom virtual machine

Project description


Zenroom

zenroom.py 🐍
A Python3 wrapper of Zenroom, a secure and small virtual machine for crypto language processing

Build status Code coverage PyPI


Zenroom and Zenroom.py are part of the DECODE project about data-ownership and technological sovereignty. Our effort is that of improving people's awareness of how their data is processed by algorithms, as well facilitate the work of developers to create along privacy by design principles using algorithms that can be deployed in any situation without any change.

This library attempts to provide a very simple wrapper around the Zenroom (https://zenroom.dyne.org/) crypto virtual machine developed as part of the DECODE project (https://decodeproject.eu/), that aims to make the Zenroom virtual machine easier to call from normal Python code.

Zenroom itself does have good cross platform functionality, so if you are interested in finding out more about the functionalities offered by Zenroom, then please visit the website linked to above to find out more.


💾 Installation

pip install zenroom

NOTE - the above command attempts to install the zenroom package, pulling in the Zenroom VM as a precompiled binary, so will only work on Linux (amd64) and macOS machines.


🎮 Usage

Two main calls are exposed, one to run zencode and one for zenroom scripts.

If you don't know what zencode is, you can start with this blogpost https://decodeproject.eu/blog/smart-contracts-english-speaker The official documentation is available on https://dev.zenroom.org/zencode/

A good set of examples of zencode contracts could be found on

🐍 Python wrapper

the wrapper exposes two simple calls:

  • zenroom_exec
  • zencode_exec

as the names suggest are the two methods to execute zenroom (lua scripts) and zencode.

args

Both functions accept the same arguments:

  • script string the lua script or the zencode script to be executed
  • keys string the optional keys string to pass in execution as documented in zenroom docs here
  • data string the optional data string to pass in execution as documented in zenroom docs here
  • conf string the optional conf string to pass according to zen_config here

return

Both functions return the same object result ZenResult that have two attributes:

  • stdout string holds the stdout of the script execution
  • stderr string holds the stderr of the script execution
Examples

Example usage of zencode_exec(script, keys=None, data=None, conf=None)

from zenroom import zenroom

contract = """Scenario 'simple': Create a keypair"
Given that I am known as 'identifier'
When I create the keypair
Then print my data
"""

result = zenroom.zencode_exec(contract)
print(result.stdout)

Example usage of zenroom_exec(script, keys=None, data=None, conf=None)

from zenroom import zenroom

script = "print('Hello world')"
result = zenroom.zenroom_exec(script)

print(result.stdout)

The same arguments and the same result are applied as the zencode_exec call.


📋 Testing

Tests are made with pytests, just run

python setup.py test

in (zenroom_test.py)[https://github.com/DECODEproject/Zenroom/blob/master/bindings/python3/zenroom/zenroom_test.py] file you'll find more usage examples of the wrapper


🌐 Links

https://decodeproject.eu/

https://zenroom.org/

https://dev.zenroom.org/

😍 Acknowledgements

Copyright (C) 2018 by Dyne.org foundation, Amsterdam

Originally designed and written by Sam Mulube.

Designed, written and maintained by Puria Nafisi Azizi.

Software contained include sources taken from pytest.

Project funded by the European Commission

This project is receiving funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement nr. 732546 (DECODE).


👥 Contributing

  1. FORK IT
  2. Create your feature branch git checkout -b feature/branch
  3. Commit your changes git commit -am 'Add some fooBar'
  4. Push to the branch git push origin feature/branch
  5. Create a new Pull Request
  6. Thank you

💼 License

  Zenroom.py - a python wrapper of zenroom
  Copyright (c) 2018 Dyne.org foundation, Amsterdam

  This program is free software: you can redistribute it and/or modify
  it under the terms of the GNU Affero General Public License as
  published by the Free Software Foundation, either version 3 of the
  License, or (at your option) any later version.

  This program is distributed in the hope that it will be useful,
  but WITHOUT ANY WARRANTY; without even the implied warranty of
  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  GNU Affero General Public License for more details.

  You should have received a copy of the GNU Affero General Public License
  along with this program.  If not, see <http://www.gnu.org/licenses/>.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

zenroom-1.0.12.tar.gz (20.8 MB view details)

Uploaded Source

Built Distribution

zenroom-1.0.12-py3-none-any.whl (20.9 MB view details)

Uploaded Python 3

File details

Details for the file zenroom-1.0.12.tar.gz.

File metadata

  • Download URL: zenroom-1.0.12.tar.gz
  • Upload date:
  • Size: 20.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.4

File hashes

Hashes for zenroom-1.0.12.tar.gz
Algorithm Hash digest
SHA256 0de84c9ac417ef3e38b98b4f1856a1b6ab51a20b45ce782bf1609dd121a44020
MD5 e35b1edb1e692d426718b670a592ded8
BLAKE2b-256 ef95b691cd93ccc978717eac634a88bbf5a6f3339871726a0c4a8347dabfb823

See more details on using hashes here.

File details

Details for the file zenroom-1.0.12-py3-none-any.whl.

File metadata

  • Download URL: zenroom-1.0.12-py3-none-any.whl
  • Upload date:
  • Size: 20.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.4

File hashes

Hashes for zenroom-1.0.12-py3-none-any.whl
Algorithm Hash digest
SHA256 8930cdd9fd6785aede5bce12e4288d53026aef49a44504e74390eb17350e8e1b
MD5 8160fa8ef5c6578627e700d1cf20e172
BLAKE2b-256 219aca537f255ea6229739562300a03940461c22d974ba1f28f8b9e9e1093eae

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page