Benjamin Mako Hill
7ec1be5dc6
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>
89 lines
2.5 KiB
Python
89 lines
2.5 KiB
Python
import os
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from logging.config import fileConfig
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from sqlalchemy import engine_from_config
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from sqlalchemy import pool
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from alembic import context
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from coldcall_lti.db import Base
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from coldcall_lti import models # noqa: F401 (populates Base.metadata)
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# this is the Alembic Config object, which provides
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# access to the values within the .ini file in use.
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config = context.config
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# The database URL comes from the same environment variable the app
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# uses, falling back to the value in alembic.ini.
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if os.environ.get("COLDCALL_DATABASE_URL"):
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config.set_main_option("sqlalchemy.url", os.environ["COLDCALL_DATABASE_URL"])
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# Interpret the config file for Python logging.
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# This line sets up loggers basically.
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if config.config_file_name is not None:
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fileConfig(config.config_file_name)
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target_metadata = Base.metadata
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# other values from the config, defined by the needs of env.py,
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# can be acquired:
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# my_important_option = config.get_main_option("my_important_option")
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# ... etc.
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def run_migrations_offline() -> None:
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"""Run migrations in 'offline' mode.
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This configures the context with just a URL
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and not an Engine, though an Engine is acceptable
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here as well. By skipping the Engine creation
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we don't even need a DBAPI to be available.
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Calls to context.execute() here emit the given string to the
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script output.
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"""
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url = config.get_main_option("sqlalchemy.url")
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context.configure(
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url=url,
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target_metadata=target_metadata,
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literal_binds=True,
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dialect_opts={"paramstyle": "named"},
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# SQLite cannot ALTER constraints in place; batch mode uses the
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# copy-and-move strategy and is harmless on MariaDB/MySQL.
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render_as_batch=True,
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)
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with context.begin_transaction():
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context.run_migrations()
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def run_migrations_online() -> None:
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"""Run migrations in 'online' mode.
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In this scenario we need to create an Engine
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and associate a connection with the context.
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"""
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connectable = engine_from_config(
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config.get_section(config.config_ini_section, {}),
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prefix="sqlalchemy.",
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poolclass=pool.NullPool,
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)
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with connectable.connect() as connection:
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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render_as_batch=True,
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)
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with context.begin_transaction():
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context.run_migrations()
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if context.is_offline_mode():
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run_migrations_offline()
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else:
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run_migrations_online()
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