Live mode with resolve-before-next call flow and one-tap outcomes
(assessments, missing, skip); printable numbered call lists with
pictures and a blank notes column; a day editor for after-class
outcome entry, replacing hand-editing of call_list TSVs; and a
per-course settings page (selection mode, weight factor, assessment
visibility). Selection honors opt-outs and the course's mode: weighted
draws use full-course answered-call history, cycle mode calls everyone
once per day before starting over and treats skips as never called.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
OIDC login, launch, and JWKS endpoints built on pylti1p3next's Flask
adapter, with launch-claim processing split into a testable module.
Instructor launches refresh the roster through NRPS; the sync code is
source-agnostic and also drives the dev-mode fake roster. Dev mode
(COLDCALL_DEV_MODE=1) provides fake instructor and student personas
that set up the same session state as a real launch, so the rest of
the app can be developed before a Canvas Developer Key exists.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Flask application skeleton with SQLAlchemy models for courses (including
per-course settings), students, enrollments, opt-outs, and calls; the
weighted and cycle selection logic ported from the manual coldcall
scripts; alembic migrations; and a pytest suite covering selection
behavior and the model query helpers.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
