Python Requirements

We use pip to install python requirements, as specified in requirements.txt. This file is generated from a set of base requirements, both to limit what is installed on production servers and to alleviate version tracking. So developers define a set of base required python modules in files of the form requirements-*.in. There are many such files, according to a subsets of tasks: production, testing, documentation generation, changes router ( corresponds to requirements for task assembl/tasks/ From these, the fabric task app_compile will do the following:

  1. In a given config.rc file, we define a set of such .in modules in the _requirement_inputs config variable. This combination is converted to a set of frozen requirements, including all dependencies, through pip-compile, part of pip-tools. The frozen requirements are stored in one of the files requirements-*.frozen.txt, whose precise name is given in the frozen_requirements config variable. This compilation step is done for one given file in the generate_new_requirements fabric task, and globally in the generate_frozen_requirements fabric task.

  2. The frozen requirement file (specified by frozen_requirements) is copied to requirements.txt (in the ensure_requirements fabric task).

  3. This is used by pip to install requirements (in update_pip_requirements fabric task), and is referred to again by

Note: pip-tools is still dependent on pip<10, though in theory it can coexist with pip>=10.

So as a developer, the main task is to keep requirements-*.in files up to date; and when you update them, you’ll run the generate_frozen_requirements task to regenerate the frozen requirements, and commit those as well.