Instructor home shows a setup banner while a course has no class schedule, since that is the one gap that degrades the student experience (free-date opt-outs, no withdrawal locking); it points at the prefilled schedule form and settings and disappears once any class day exists. Calls gain assessment_entered_at, stamped when an outcome is recorded or actually changed (bulk saves that change nothing don't restamp), null for pending calls and legacy imports, and included in the calls export — distinguishing assessed-in-class from assessed-later. The README setup section now gives both install routes: pure pip/venv, and Debian system packages with the apt line. Fixing this uncovered that numpy was missing from the project dependencies (the grading engine needs it; the system-site-packages venv had masked the omission). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
29 lines
796 B
TOML
29 lines
796 B
TOML
[build-system]
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requires = ["setuptools>=64"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "coldcall-lti"
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version = "0.1.0"
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description = "Canvas LTI 1.3 tool for managing in-class cold calls"
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license = {text = "AGPL-3.0-or-later"}
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authors = [{name = "Benjamin Mako Hill", email = "mako@atdot.cc"}]
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requires-python = ">=3.11"
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# Known-good versions: flask 3.1.1, SQLAlchemy 2.0.40, alembic 1.13.2,
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# numpy 2.2.4, pylti1p3next 2.0.2 (development uses Debian system
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# packages for all but pylti1p3next; these floors record what the code
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# was written against).
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dependencies = [
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"flask>=3.1",
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"pylti1p3next>=2.0",
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"SQLAlchemy>=2.0",
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"alembic>=1.13",
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"numpy>=1.26",
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]
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[project.optional-dependencies]
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test = ["pytest>=8"]
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[tool.setuptools]
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packages = ["coldcall_lti"]
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