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FabledScribe/alembic/versions/0091_task_kind_spike.py
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feat(tasks): task_kind gains 'spike' — the investigation, not the change (#3099, milestone 312 step 5)
A spike is a shape the other kinds cannot hold. `work` ships a change;
`issue` fixes something broken. A spike is time-boxed and its output is
KNOWLEDGE — it succeeds by producing an answer, and nothing ships at the end
of it. Filing one as `work` makes a finished investigation look like an
abandoned change, which is why the distinction earns a value rather than a
convention.

It is also the record a failed check asks for. This milestone gave rules a
verify_with; when one fails the rule is wrong, and the next move is often to
go and find out what replaced it. notes.arose_from_id already exists (0065),
so constraint -> spike provenance needed no schema at all — only a docstring
saying it is there.

Rule 36: the value and the widened CHECK land in the same migration, DROP
then ADD, exactly as 0065 did for 'issue'. The two whitelists live in one
tuple each so upgrade and downgrade cannot disagree about what the list was
on either side. The downgrade demotes existing spikes to 'work' first —
lossy, deliberately, because the alternative is a downgrade that fails on
real data, and one that says what it did beats one that cannot run.

'plan' stays whitelisted though retired: historical plan-tasks carry it, and
a row that cannot be rewritten cannot be edited, restored or migrated.

The integration test asserts both halves. A test that only proved 'spike' is
accepted would pass just as happily against a table whose CHECK had been
dropped and never re-added — which is the other way rule 36's failure
happens — so an unknown kind is asserted to still raise.

Not in scope, deliberately: any special lifecycle, time-box enforcement, or
gating relationship. It is a kind, not a workflow.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-27 12:02:41 -04:00

67 lines
2.7 KiB
Python

"""task_kind gains 'spike' — the investigation, not the change
(milestone 312 step 5)
Revision ID: 0091
Revises: 0090
Create Date: 2026-08-27
A spike is a task shape the others cannot hold. `work` ships a change;
`issue` fixes something broken. A spike is time-boxed and its output is
KNOWLEDGE — it succeeds by producing an answer, and nothing ships at the
end of it. "Find out whether the runner can be given a bash shell" is not
work, and filing it as work makes a finished investigation look like an
abandoned change.
It is the record a failed check asks for. Milestone 312 gave rules a
`verify_with`; when one of those fails, the rule is wrong and the next move
is often to go and find out what replaced it. `notes.arose_from_id` already
exists (0065), so that constraint -> spike link needs no further schema.
Rule 36: `task_kind` is gated by a CHECK whitelist, so the value and the
widened constraint land in the SAME migration — DROP then ADD, exactly as
0065 did when it introduced 'issue'. Adding the value and constraining it
later leaves a window where the database accepts anything.
'plan' stays in the list though it is retired (plans are milestones since
0066): historical plan-tasks still carry it, and dropping it from the
whitelist would make old rows unwritable.
"""
from alembic import op
revision = "0091"
down_revision = "0090"
branch_labels = None
depends_on = None
# One tuple so the upgrade and the downgrade cannot disagree about what the
# list was on either side of this migration.
_KINDS_AFTER = ("work", "plan", "issue", "spike")
_KINDS_BEFORE = ("work", "plan", "issue")
# Restated rather than imported from 0088, which has the same helper. A
# migration is a snapshot: it must keep working when the code around it has
# moved on, so it never imports from live modules or from its siblings. Six
# duplicated lines are the price of that, and the cheap half of the bargain.
def _in_list(values: tuple[str, ...]) -> str:
return "task_kind IN (" + ", ".join(f"'{v}'" for v in values) + ")"
def upgrade() -> None:
op.drop_constraint("notes_task_kind_check", "notes", type_="check")
op.create_check_constraint(
"notes_task_kind_check", "notes", _in_list(_KINDS_AFTER),
)
def downgrade() -> None:
# Any row already filed as a spike would violate the narrowed constraint,
# so they are demoted to 'work' first. Lossy and deliberately so: the
# alternative is a downgrade that fails on real data, which is worse than
# a downgrade that says what it did.
op.execute("UPDATE notes SET task_kind = 'work' WHERE task_kind = 'spike'")
op.drop_constraint("notes_task_kind_check", "notes", type_="check")
op.create_check_constraint(
"notes_task_kind_check", "notes", _in_list(_KINDS_BEFORE),
)