Instructor participation report: per-student histograms, outcome mix
by class day, and a sortable table including the fairness ratio
(answered calls over questions present for, with opt-out days out of
the denominator), plus CSV exports of students, calls, and opt-outs.
Assessment scales are now per-course data: ordered levels with labels
and points out of 100 (defaults carry the old R grading values), with
calls referencing levels by id so renames follow through to history.
Renaming, re-pointing, reordering, and adding levels are always
allowed; deleting a level in use by recorded calls is blocked.
Pronouns and course term dates come from Canvas custom variable
substitutions, at launch and roster-wide via rlid-scoped NRPS; the
student page notes that names/pronouns are Canvas-sourced. Rosters
can also be refreshed outside launches: a "Sync roster now" button
and a sync-rosters CLI command for an hourly cron job, skipping ended
courses. Alembic now runs SQLite-compatible batch migrations with a
constraint naming convention.
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>
