3b33b5d6f6
Usability wave Workstream C (#5, #7): - manifest.webmanifest with existing 192/512/180 icons, linked in index.html with theme-color aligned to #07070d; no service worker. - GET /api/seances/recent: last 12 of the seeker's own séances with entity, per-kind event counts (one GROUP BY) and up to 3 spirit echoes (one windowed query) — no per-session N+1. - /log Ghost Log page: cards with GhostGlyph, relative in-fiction timestamps, counts and echo lines; LOG link in the séance topbar; en/es i18n parity. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
110 lines
3.7 KiB
Python
110 lines
3.7 KiB
Python
"""Ghost Log recap — a seeker's own recent séances, with who answered and
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what was said. Workstream C of docs/superpowers/specs/
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2026-07-28-usability-wave-design.md (#7)."""
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from collections import defaultdict
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from fastapi import APIRouter, Depends
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from sqlalchemy import desc, func, select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.db import get_db
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from app.deps import get_current_user
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from app.models.contact_session import ContactSession
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from app.models.entity import Entity
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from app.models.event import Event
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from app.models.user import User
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router = APIRouter(prefix="/api", tags=["seances"])
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RECENT_LIMIT = 12
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ECHOES_PER_SESSION = 3
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# Spirit speech lands in the DB as kind="utterance" rows whose payload
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# carries the flavor (see app.ws._speak) — these are the ones worth
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# echoing back in a recap.
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ECHO_PAYLOAD_KINDS = ("greeting", "reply", "manifest")
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@router.get("/seances/recent")
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async def recent_seances(
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user: User = Depends(get_current_user), db: AsyncSession = Depends(get_db)
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):
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# One query: the user's last sessions with their entity (may be null).
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rows = (
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await db.execute(
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select(ContactSession, Entity)
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.outerjoin(Entity, ContactSession.entity_id == Entity.id)
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.where(ContactSession.user_id == user.id)
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.order_by(desc(ContactSession.started_at))
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.limit(RECENT_LIMIT)
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)
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).all()
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session_ids = [session.id for session, _ in rows]
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# One GROUP BY across the fetched sessions for event counts by kind.
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counts: dict = defaultdict(dict)
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if session_ids:
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for session_id, kind, count in await db.execute(
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select(Event.session_id, Event.kind, func.count(Event.id))
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.where(Event.session_id.in_(session_ids))
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.group_by(Event.session_id, Event.kind)
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):
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counts[session_id][kind] = count
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# One bounded query for echoes: top-N spirit utterances per session,
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# newest first, via a window function — never one query per session.
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echoes: dict = defaultdict(list)
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if session_ids:
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ranked = (
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select(
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Event.session_id,
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Event.text,
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func.row_number()
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.over(
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partition_by=Event.session_id,
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order_by=desc(Event.created_at),
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)
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.label("rn"),
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)
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.where(
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Event.session_id.in_(session_ids),
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Event.kind == "utterance",
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Event.text.is_not(None),
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Event.payload["kind"].astext.in_(ECHO_PAYLOAD_KINDS),
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)
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.subquery()
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)
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for session_id, text, _rn in await db.execute(
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select(ranked.c.session_id, ranked.c.text, ranked.c.rn).where(
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ranked.c.rn <= ECHOES_PER_SESSION
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)
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):
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echoes[session_id].append(text)
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return {
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"seances": [
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{
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"id": str(session.id),
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"started_at": session.started_at.isoformat(),
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"ended_at": session.ended_at.isoformat() if session.ended_at else None,
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"mode": session.mode,
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"entity": (
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{
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"id": str(entity.id),
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"name": entity.name,
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"epithet": entity.epithet,
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"rarity": entity.rarity_tier,
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"visual": entity.visual_profile,
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}
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if entity is not None
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else None
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),
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"counts": counts.get(session.id, {}),
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"echoes": echoes.get(session.id, []),
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}
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for session, entity in rows
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]
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}
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