feat(discovery): trending sort heuristic over world_visits with decay weighting
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@@ -16,6 +16,8 @@ from app.database import get_db
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from app.dependencies import OptionalUser
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from app.models.world import World, WorldVisibility
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from app.models.world_visit import WorldVisit
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from app.services.trending import get_trending_subquery
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router = APIRouter()
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@@ -208,11 +210,23 @@ async def list_discovery_worlds(
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total = (await db.execute(count_query)).scalar_one()
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# Sort
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if sort == "most_played":
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if sort == "trending":
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trending_subq = get_trending_subquery()
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base_query = (
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base_query
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.outerjoin(trending_subq, World.id == trending_subq.c.trending_world_id)
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.order_by(
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func.coalesce(trending_subq.c.trending_score, 0.0).desc(),
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World.play_count.desc(),
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World.created_at.desc(),
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)
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)
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elif sort == "most_played":
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base_query = base_query.order_by(World.play_count.desc(), World.created_at.desc())
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else: # default: newest
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base_query = base_query.order_by(World.created_at.desc())
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# Pagination & load owner
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query = (
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base_query
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@@ -0,0 +1,34 @@
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"""Trending recommendation heuristic service.
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docs/planning/discovery.md (task 33706f401ad9).
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"""
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from sqlalchemy import case, func, select, text
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from app.models.world_visit import WorldVisit
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def get_trending_subquery(days: int = 7):
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"""Build a subquery that computes a decay-weighted trending score per world_id.
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Decay weights:
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- Visited within 24 hours: weight 3.0
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- Visited within 3 days: weight 2.0
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- Visited within 7 days: weight 1.0
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"""
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trending_weight = case(
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(WorldVisit.visited_at >= func.now() - text("interval '1 day'"), 3.0),
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(WorldVisit.visited_at >= func.now() - text("interval '3 days'"), 2.0),
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else_=1.0,
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)
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interval_str = f"interval '{days} days'"
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subq = (
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select(
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WorldVisit.world_id.label("trending_world_id"),
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func.coalesce(func.sum(trending_weight), 0.0).label("trending_score"),
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)
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.where(WorldVisit.visited_at >= func.now() - text(interval_str))
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.group_by(WorldVisit.world_id)
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.subquery("trending_scores")
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)
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return subq
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