Populous is a tool for fast and rich data generation. From a description of your schema say how many objects you want, what they should look like, and populous will create them for you!
The project is in a very early stage and proof-of-concept state. Please be patient, but don't hesitate to share your thoughts and desires with us in the issues.
Sorry, but the documentation is not ready yet :( .
However, if you are very eager to try it, here is what you can do:
- Install populous:
pip install populous - Have a PostgreSQL database at hand
- Find some blueprints (YAML files describing what you want to
generate) or create some. This is the tricky part, but you can find
some examples in the
demo/blueprints/directory. - Launch populous with those blueprints:
populous run postgres demo/blueprints/*.yml(you can pass your postgres instance either viaPG*environment variables or via arguments) - Gaze at your freshly generated data via
psqlor any other tool!
There's currently no pre-compiled package for the
peloton_bloomfilters library, which is a current requirement for
populous. To correctly install it in your environment, you're going to:
- install
gcc(via homebrew, for example), - install the package using the following flags
ARCHFLAGS="-arch x86_64" CC=/usr/bin/gcc.
For example, to install locally:
ARCHFLAGS="-arch x86_64" CC=/usr/bin/gcc pip install peloton_bloomfilters
Or if you want to run the test suite via tox:
ARCHFLAGS="-arch x86_64" CC=/usr/bin/gcc tox
