fix: preserve bigint batch identities in news AI queries

Use BIGINT casts for JSON batch references in queue filters, retries and legacy job reconciliation. Cover real large batch references and absent 64-bit IDs in isolated PostgreSQL acceptance.

backend/src/alphapulse/api/risk.py

@@ -4,7 +4,7 @@ from enum import IntEnum
 from typing import Annotated, Literal
 from fastapi import APIRouter, Body, Depends, HTTPException, Query
 from pydantic import BaseModel, Field, model_validator
-from sqlalchemy import select, func, text
+from sqlalchemy import select, func, text, BigInteger
 from sqlalchemy.ext.asyncio import AsyncSession
 from alphapulse.ai.llm import Effort
 from alphapulse.api.response import success
@@ -437,7 +437,7 @@ async def reprocess_retry(identifier: int, session: DB):
         await session.execute(update(ReprocessItem).where(ReprocessItem.job_id==job.id,ReprocessItem.state=='failed').values(state='pending',error=None))
     outlook_ids = {f['id'] for f in job.failures if f['stage'] == 'outlook'}
     snapshots = (await session.scalars(select(RiskSnapshot).where(RiskSnapshot.id.in_(outlook_ids), RiskSnapshot.state == 'failed',
-        RiskSnapshot.quotes['job_id'].as_integer() == job.id))).all()
+        RiskSnapshot.quotes['job_id'].astext.cast(BigInteger) == job.id))).all()
     for snapshot in snapshots: snapshot.quotes = {**snapshot.quotes, 'retry_requested': True}
     from alphapulse.models.risk import NewsEvent
     for stage, model in (('analysis', NewsSummary), ('events', NewsEvent)):