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Commit Graph

4 Commits

Author SHA1 Message Date
7845167ec5 Phase 4: student views, opt-outs, and class schedule
Student page with a standing summary, a class-comparison histogram
(zero-dependency HTML/CSS) with a plain-language fewer/same/more
sentence, opt-out management with withdrawal of future dates, and a
call history that respects the per-course assessment-visibility
setting and never shows pending or skipped calls. Opt-outs validate
against a new per-course class-day schedule (range generator plus
individual add/remove for holidays), since Canvas has no structured
meeting-day data; courses without a schedule fall back to a free date
picker. Dev mode seeds a Tue/Thu pattern.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-31 16:44:49 -07:00
903209d3d5 Phase 3: instructor in-class UI
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>
2026-07-31 16:40:04 -07:00
52afc57ebd Phase 2: LTI plumbing, roster sync, and fake-launch dev mode
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>
2026-07-31 16:33:08 -07:00
8d8a463f81 Phase 1: scaffold, data models, selection logic, tests
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>
2026-07-31 16:27:09 -07:00