A Python 3 implementation of Aletheia.

This is how we get from

I read it on the Internet, so it must be true.

to

Yesterday, the Guardian had a story about a prominent politician doing something they weren’t supposed to be doing. The video footage was certified authentic, and the author of the article stands by her work.

Aletheia is a little program you run to attach your name – and reputation – to the files you create: audio, video, and documentation, all of it can carry authorship, guaranteed to be tamper proof.

Once you use Aletheia to sign your files, you can share them all over the web, and all someone has to do to verify the file’s author is run Aletheia against the file they just received. The complication of fetching public keys and verifying signatures is all done for you.

If this sounds interesting to you, have a look at the documentation or even install it and try it out yourself.

The Goal I want to live in a world where journalism means something again. Where “some guy on the internet” making unsubstantiated claims can be fact-checked by organisations who have a reputation for doing the work of accurate reporting. More importantly though, I think we need a way to be able to trust what we see again. New technologies are evolving every day that allow better and better fakes to be created. Now more than ever we need a way to figure out whether we trust the source of something we’re seeing. This is an attempt to do that.

How to Use it The process is pretty straight forward. Install the system dependencies as described in the setup documentation and then: $ pip install aletheia Once it’s installed, you can verify a file to try it out. Use this one as a starting example. Command Line API $ aletheia verify path/to/test.jpg Python API from aletheia.utils import verify verify ( "path/to/test.jpg" ) More details can be found in the command line API and Python API documentation.

How to Run the Tests Aletheia uses pytest, so assuming you’ve got a working environment (with libmagic, exiftool, and ffmpeg installed and working) you can just run it from the project root: $ pytest The reality of this project however is that getting a working environment setup perfectly can be a pain, especially when all you want to do is run the tests. So to that end, we’ve got some Docker containers setup for you. To run your tests in a lightweight Alpine Linux container, just run this: $ docker run --rm -v $( pwd ) :/app -it registry.gitlab.com/danielquinn/aletheia-python:alpine-python3.7 bash -c 'cd /app && pytest' That’ll run the entire battery of tests in an environment containing all the tools Aletheia needs to do its thing. Alternatively, you can just jump into an instance of the container and use it as a sort of virtualenv: $ docker run --rm -v $( pwd ) :/app -it registry.gitlab.com/danielquinn/aletheia-python:alpine-python3.7 /bin/bash $ cd /app $ pytest Testing for Multiple Environments GitLab will automatically run the tests in a multitude of environments (Alpine:py3.6, Arch, Debian:py3.5, Debian:py3.7, etc.), but if you want to do that locally before it goes up to GitLab, there’s a handy test script for you that does all the work: $ ./tests/cross-platform Just note that this script will download all of the required Docker containers from GitLab to do its thing, so you’re looking at a few hundred MB of disk space consumed by this process.