Update documentation, comments, and docstrings throughout the codebase
to reflect the migration from setup.py to pyproject.toml:
- Transformer class docstrings: changed to reference "entry point name
in the package configuration" for better future-proofing
- Block structure module docs: updated to reference pyproject.toml
- Test file comments: updated entry point references
- Config files (tox.ini, pytest.ini): updated references
- Documentation (extension_points.rst, course apps ADRs): updated to
reference pyproject.toml with inclusive language for external packages
- Requirements documentation (github.in): updated with inclusive language
- edxmako README: modernized install command to use pip install
Historical ADRs and references to external packages that may still use
setup.py were intentionally left unchanged or updated with inclusive
language acknowledging both pyproject.toml and setup.py.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
BREAKING: get rid of the LegacyWaffle-based CourseWaffleFlag.
Both CourseWaffleFlag and FutureCourseWaffleFlag now use the modern
WaffleFlag as parent class. FutureCourseWaffleFlag left to support ORA
transition to modern waffle.
Switch to the ORA version which supporting new Waffles.
This is a first stage for removing the LegacyWaffle* classes.
LegacyWaffleFlag usage replaced with WaffleFlag;
LegacyWaffleSwitche usage replaced with WaffleSwitch;
New CourseWaffleFlag added to the temporary module __future__ as FutureCourseWaffleFlag;
Updated all the imports to use CourseWaffleFlag from the __future__ module;
BREAKING CHANGE: A number of toggle related constants (e.g. ENABLE_ACCESSIBILITY_POLICY_PAGE)
changed types. They were strings, and are now toggle instances (e.g. WaffleSwitch). Although the entire
refactor should be self-contained in edx-platform, if any plugins or dependencies were directly
using these constants, they will break. If this is the case, try to find a better publicized way of
exposing those toggles.
Previously, effort estimation was disabled by default and gated by
an experiment flag (effort_estimation.location).
Now, it is enabled by default and courses can opt-out by adding
course waffle override flags (effort_estimation.disabled).
