L: openParty had no production callers (invite path uses joinParty -> seatLeader,
which seats the leader the same way but reads the owner off the expedition row).
Removed it; the tests now seat the leader through a seatLeaderFixture that wraps
seatLeader in a transaction.
I: promoted parseTemperIndex to parseMenuIndex and routed resolveMagicEquipReply
and handleMasterworkEquipReply through it, replacing two hand-inlined copies of
the same digit parser. Behaviour-preserving (the parsed flag was redundant with
the idx<0 guard); the retry-on-bad-parse disagreement is left as-is since this
is a pure dedup.
Full plugin suite green.
Claude-Session: https://claude.ai/code/session_017mEwUmmS7aQTP2NQXj6rUa
The turn engine seats a party since P3, but only seat 0 survived a
suspend: seats 1+ reopened from their Mods on every step, rearming their
once-per-fight one-shots -- a party Halfling rerolled a nat 1 every round.
Split CombatStatuses into the fight-scoped half (the enemy's stance, the
round cursor) and the per-character half, ActorStatuses. The embed is
anonymous and untagged, so statuses_json stays the same flat object it
always was and every in-flight prod row decodes unchanged.
Seat 0 keeps living on combat_session. Seats 1+ get combat_participant
rows. That asymmetry is the point: a solo fight -- which is every fight
that has ever run, and the whole balance corpus -- writes exactly the
bytes it wrote before, and no participant rows at all. roster_size
guards the read, so the solo loader never issues the second query.
Parties commit their seats in the same transaction as the session row;
solo keeps its single unwrapped UPDATE.
expedition_party is the co-op roster. No party_id on dnd_expedition:
expedition_id already identifies the party, and a second key would be a
second answer to "who is in this party". Absent means solo, in both new
tables, so neither needs a bootstrap backfill.
The combat characterization golden is byte-identical.
Also seeds and re-powers the two statistical subclass tests. They drew
from the package-global RNG, so their verdict depended on how much
randomness every test declared before them happened to consume -- which
is why they flaked on a clean tree. Sweeping 40 seeds: Precision Attack
had a mean margin of +127 wins against a +50 threshold but a worst case
of -42, and Assassinate averaged +12.8 with two seeds outright negative.
Both effects are real; the trial counts were too low to see them. Seeded,
and raised to 24000/6000 trials, where all 40 seeds clear.
