feat: organize news packages into verified event timelines
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Add optional events, evidence-backed timelines, versioned package corrections and bounded historical reprocessing. Keep independent packages readable and isolate retries by failed stage. Configure reasoning effort per model stage and refresh default news Skill drafts without publishing.
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eezd committed 2026-11-01 11:46:11 +08:00
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"""Explicit bounded historical jobs, sharing the normal news pipeline."""
from sqlalchemy import select, text
from alphapulse.core.db import SessionLocal
from alphapulse.models import NewsItem
from alphapulse.models.risk import RiskSettings, ReprocessJob, ArticleAnalysis, NewsSummary, EventMember
from alphapulse.news_risk.pipeline import configuration
async def preview(session, start, end):
rows = (await session.scalars(select(NewsItem).where(NewsItem.published_at >= start, NewsItem.published_at < end)
.order_by(NewsItem.published_at, NewsItem.id))).all()
from alphapulse.models.risk import SummaryArticle
ids = [r.id for r in rows]
packages = set((await session.scalars(select(SummaryArticle.summary_id).join(ArticleAnalysis)
.where(ArticleAnalysis.news_id.in_(ids), SummaryArticle.active.is_(True)))).all())
events = set((await session.scalars(select(EventMember.event_id).where(EventMember.package_id.in_(packages)))).all())
return {'articles': len(rows), 'packages': len(packages), 'events': len(events)}, [{'id': r.id, 'hash': r.content_hash} for r in rows]
async def capture(session, settings):
from alphapulse.api.risk import config_out
value = config_out(settings)
value.pop('start_at')
configurations = {}
for stage in ('grouping', 'analysis', 'outlook'):
provider, system, rules, fingerprint = await configuration(session, settings, stage)
configurations[stage] = {'provider_id': provider.id, 'system': system, 'rules': rules,
'provider': {key: getattr(provider, key) for key in ('model', 'protocol', 'base_url', 'max_tokens', 'context_window', 'reasoning_effort')}}
return {'settings': value, 'configurations': configurations}
async def frozen_configuration(session, frozen, stage):
from alphapulse.models import AiProvider
item = frozen['configurations'][stage]
provider = await session.get(AiProvider, item['provider_id'])
if provider is None: raise ValueError('重整理使用的接入配置已删除')
session.expunge(provider)
for key, value in item['provider'].items(): setattr(provider, key, value)
return provider, item['system'], item['rules']
async def process_job():
from alphapulse.news_risk import worker
async with SessionLocal() as session:
settings = await session.get(RiskSettings, 1)
if not settings or not settings.enabled: return
if await session.scalar(select(ArticleAnalysis.id).where(ArticleAnalysis.state == 'pending').limit(1)): return
if await session.scalar(select(NewsSummary.id).where(NewsSummary.state.in_(['pending', 'processing'])).limit(1)): return
job = await session.scalar(select(ReprocessJob).where(ReprocessJob.state.in_(['pending', 'running'])).order_by(ReprocessJob.id).limit(1).with_for_update())
if job is None: return
if job.position >= len(job.items):
from alphapulse.models.risk import NewsEvent
if await session.scalar(select(NewsEvent.id).where(NewsEvent.state.in_(['pending','processing'])).limit(1)): return
from alphapulse.models.risk import RiskSnapshot
from alphapulse.news_risk import briefing
from alphapulse.news_risk.events import reading_inputs
from datetime import UTC, datetime, timedelta
failed_packages = (await session.scalars(select(NewsSummary).where(
NewsSummary.review_config == job.settings, NewsSummary.state == 'failed'))).all()
failed_events = (await session.scalars(select(NewsEvent).where(
NewsEvent.review_config == job.settings, NewsEvent.state == 'failed'))).all()
failures = [{'stage': 'analysis', 'id': p.id, 'error': (p.error or '包研判失败')[:1000]} for p in failed_packages]
failures += [{'stage': 'events', 'id': e.id, 'error': (e.error or '事件时间线失败')[:1000]} for e in failed_events]
if not failures and not job.failures:
inputs = await reading_inputs(session, datetime.now(UTC)-timedelta(hours=72))
key = briefing.fingerprint(briefing.semantic_packages(inputs), job.settings['configurations']['outlook']['rules'])
snapshot = await session.scalar(select(RiskSnapshot).where(
RiskSnapshot.quotes['job_id'].as_integer() == job.id,
RiskSnapshot.quotes['fingerprint'].as_string() == key).order_by(RiskSnapshot.id.desc()).limit(1))
if snapshot is None or snapshot.state == 'processing' or snapshot.quotes.get('retry_requested'): return
if snapshot.state == 'failed':
failures.append({'stage': 'outlook', 'id': snapshot.id, 'error': (snapshot.error or '阅读编排失败')[:1000]})
job.failures = [*job.failures, *failures]
job.state = 'failed' if job.failures else 'done'; await session.commit(); return
item = job.items[job.position]
job_id = job.id
try:
for stage in ('grouping', 'analysis', 'outlook'):
await frozen_configuration(session, job.settings, stage)
news = await session.get(NewsItem, item['id'])
if news is None or news.content_hash != item['hash']:
raise ValueError('原文已修订,拒绝发布过期重整理结果')
row = await session.scalar(select(ArticleAnalysis).where(ArticleAnalysis.news_id == news.id, ArticleAnalysis.content_hash == news.content_hash))
if row is None:
row = ArticleAnalysis(news_id=news.id, content_hash=news.content_hash, state='reprocess', input={
'title': news.title, 'summary': news.summary, 'content': news.content_text, 'published_at': news.published_at.isoformat(),
'progress_at': max(news.published_at, news.source_updated_at or news.published_at).isoformat(), 'url': news.url,
'source': news.source_code, 'revision_no': news.revision_no})
session.add(row); await session.flush()
row_id = row.id; job_id = job.id; job.state = 'running'; await session.commit()
outcome = await worker.analyze(row_id, job.settings)
if outcome == 'deferred': return
row = await session.get(ArticleAnalysis, row_id, populate_existing=True)
if outcome != 'done' or row.state != 'done' or row.error: raise ValueError(row.error or '原文已变化')
except Exception as error:
await session.rollback()
job = await session.get(ReprocessJob, job_id, populate_existing=True)
job.failures = [*job.failures, {'stage': 'grouping', 'id': item['id'], 'error': str(error)[:1000]}]
await session.flush()
job = await session.get(ReprocessJob, job_id, populate_existing=True, with_for_update=True)
job.position += 1
await session.commit()
async def start_job(session, start, end):
# Serialize starts even when there is no existing row to lock.
await session.execute(text('SELECT pg_advisory_xact_lock(20261101, 2)'))
if await session.scalar(select(ReprocessJob.id).where(ReprocessJob.state.in_(['pending', 'running'])).limit(1)):
raise ValueError('已有重整理任务')
settings = await session.get(RiskSettings, 1)
if settings is None: raise ValueError('请先配置新闻AI')
counts, items = await preview(session, start, end)
if not items: raise ValueError('所选范围没有新闻')
job = ReprocessJob(state='pending', settings=await capture(session, settings), items=items, position=0, failures=[])
session.add(job); await session.flush()
job.settings = {**job.settings, 'job_id': job.id}
await session.commit()
return {'id': job.id, **counts}