fix(news): exclude null AI results from homepage reading inputs

backend/src/alphapulse/api/risk.py

@@ -175,8 +175,8 @@ async def coverage(session):
 async def overview(session: DB, hours: RiskWindow = RiskWindow.DAY):
     now = datetime.now(UTC); cutoff = now - timedelta(hours=hours)
     counts = dict((await session.execute(select(NewsSummary.importance_stars, func.count()).where(
-        NewsSummary.updated_at >= cutoff, NewsSummary.result.is_not(None), NewsSummary.replacement_ids == [], NewsSummary.state != 'withdrawn').group_by(NewsSummary.importance_stars))).all())
-    snapshot = await session.scalar(select(RiskSnapshot).where(RiskSnapshot.state == 'done', RiskSnapshot.result['inputs'].is_not(None)).order_by(RiskSnapshot.id.desc()).limit(1))
+        NewsSummary.updated_at >= cutoff, func.jsonb_typeof(NewsSummary.result) == 'object', NewsSummary.replacement_ids == [], NewsSummary.state != 'withdrawn').group_by(NewsSummary.importance_stars))).all())
+    snapshot = await session.scalar(select(RiskSnapshot).where(RiskSnapshot.state == 'done', func.jsonb_typeof(RiskSnapshot.result['inputs']) == 'array').order_by(RiskSnapshot.id.desc()).limit(1))
     last = await session.scalar(select(RiskSnapshot).order_by(RiskSnapshot.id.desc()).limit(1))
     scenario = None
     stage2 = dict((await session.execute(select(NewsSummary.state, func.count()).group_by(NewsSummary.state))).all())
@@ -211,7 +211,7 @@ async def overview(session: DB, hours: RiskWindow = RiskWindow.DAY):
 async def events(session: DB, hours: RiskWindow | None = None, stars: int = Query(0, ge=0, le=5),
                  tag: str = '', importance: int = Query(0, ge=0, le=5), category: str = '', asset: str = '', q: str = '', start: datetime | None = None, end: datetime | None = None,
                  page: int = Query(1, ge=1), limit: int = Query(20, ge=1, le=100)):
-    conditions = [NewsSummary.replacement_ids == [], NewsSummary.state != 'withdrawn', NewsSummary.stars >= stars, NewsSummary.result.is_not(None)]
+    conditions = [NewsSummary.replacement_ids == [], NewsSummary.state != 'withdrawn', NewsSummary.stars >= stars, func.jsonb_typeof(NewsSummary.result) == 'object']
     if importance: conditions.append(NewsSummary.importance_stars >= importance)
     if tag: conditions.append(NewsSummary.tags.contains([tag.strip().casefold()]))
     if hours: conditions.append(NewsSummary.updated_at >= datetime.now(UTC)-timedelta(hours=hours))

backend/src/alphapulse/news_risk/events.py

@@ -1,7 +1,7 @@
 """Version-bound package relationships and evidence-backed event timelines."""
 from datetime import UTC, datetime, timedelta
 from pydantic import BaseModel, Field
-from sqlalchemy import select
+from sqlalchemy import select, func
 from alphapulse.models.risk import NewsSummary, NewsEvent, EventMember, EventVersion, RiskSettings, EventLink
 from alphapulse.core.db import SessionLocal
 from alphapulse.news_risk.pipeline import configuration
@@ -168,9 +168,9 @@ async def organize(target_id=None):
 
 
 async def reading_inputs(session, cutoff):
-    packages = (await session.scalars(select(NewsSummary).where(NewsSummary.result.is_not(None), NewsSummary.replacement_ids == [], NewsSummary.state != 'withdrawn'))).all()
+    packages = (await session.scalars(select(NewsSummary).where(func.jsonb_typeof(NewsSummary.result) == 'object', NewsSummary.replacement_ids == [], NewsSummary.state != 'withdrawn'))).all()
     memberships = {m.package_id: m.event_id for m in (await session.scalars(select(EventMember))).all()}
-    events = {e.id: e for e in (await session.scalars(select(NewsEvent).where(NewsEvent.result.is_not(None), NewsEvent.state != 'retired'))).all()}
+    events = {e.id: e for e in (await session.scalars(select(NewsEvent).where(func.jsonb_typeof(NewsEvent.result) == 'object', NewsEvent.state != 'retired'))).all()}
     inputs, included = [], set()
     for package in packages:
         if package.updated_at < cutoff: continue