feat(news): index news packages and research persistent events

Extract reusable literal keywords once per source revision, assign complete news packages to long-lived events, and research all event members with immutable evidence and references.

Add additive research storage, vocabulary snapshots, the two-stage workspace, isolated acceptance coverage, and a paused rollout with an initial fixed 50-news production trial.
This commit is contained in:
eezd committed 2026-11-04 12:09:58 +08:00
1 parent 07252fea0f
commit 4929a32a0a
69 files changed
+8215 -2092

No files matched your search

+63 -45
View File
@@ -2,12 +2,12 @@
import asyncio
import logging
from datetime import UTC, datetime, timedelta
from sqlalchemy import BigInteger, select, update, func, exists, text, case
from sqlalchemy import BigInteger, select, update, func, exists, case
from sqlalchemy.dialects.postgresql import insert
from alphapulse.core.db import SessionLocal, engine
from alphapulse.core.db import SessionLocal
from alphapulse.models import NewsItem
from alphapulse.models.risk import RiskSettings, RiskSnapshot, ArticleAnalysis, NewsSummary, SummaryArticle, SummaryVersion, PackageEvidence, GroupingVersion
from alphapulse.news_risk.service import complete
from alphapulse.models.risk import RiskSettings, RiskSnapshot, ArticleAnalysis, NewsSummary, SummaryArticle, SummaryVersion, PackageEvidence, GroupingVersion, NewsEvent, EventMember
from alphapulse.news_risk.service import complete, accumulate_usage
from alphapulse.news_risk.pipeline import configuration, Grouping, summarize_articles, validate_evidence, Evidence, grouping_payload, pack_candidates
from alphapulse.news_risk.research import Research
from alphapulse.news_risk import briefing
@@ -66,18 +66,27 @@ async def _analyze(target_id=None, frozen=None):
catalog = await session.scalar(select(func.max(NewsSummary.id)))
tag_score = sum((case((NewsSummary.tags.contains([tag.strip().casefold()]), 1), else_=0) for tag in row.input.get('source_tags', [])[:8] if isinstance(tag, str)), 0)
from alphapulse.news_risk.retrieval import terms_for, matching
_, keyword_score = matching(NewsSummary, terms_for(row.input['title'], row.input.get('source_tags', [])[:6]))
# Untitled news still has source text; bound retrieval without changing model inputs.
query = (row.input['title'].strip() or (row.input.get('summary') or '').strip() or (row.input.get('content') or '').strip())[:256]
_, keyword_score = matching(NewsSummary, terms_for(query, row.input.get('source_tags', [])[:6]))
candidates = (await session.scalars(select(NewsSummary).where(NewsSummary.replacement_ids == [], NewsSummary.state != 'withdrawn').order_by(
(func.greatest(func.similarity(NewsSummary.title, row.input['title']), func.similarity(NewsSummary.fact, row.input['title'])) + tag_score + keyword_score).desc(), NewsSummary.updated_at.desc()).limit(80))).all()
candidate_inputs = [{'id': e.id, 'title': e.title, 'published_at': e.published_at.isoformat(), 'entities': e.entities, 'tags': e.tags, 'fact': e.fact, 'content_kind': e.content_kind} for e in candidates]
(func.greatest(func.similarity(NewsSummary.title, query), func.similarity(NewsSummary.fact, query)) + tag_score + keyword_score).desc(), NewsSummary.updated_at.desc()).limit(80))).all()
memberships = dict((await session.execute(select(EventMember.package_id, EventMember.event_id).where(EventMember.package_id.in_([p.id for p in candidates])))).all())
event_catalog = await session.scalar(select(func.max(NewsEvent.id)))
event_candidates = list(await session.scalars(select(NewsEvent).where(NewsEvent.state != 'retired').order_by(
func.similarity(NewsEvent.fact, query).desc(), NewsEvent.updated_at.desc()).limit(60)))
event_inputs = [{'id':e.id,'title':e.title,'fact':e.fact,'tags':e.tags,'revision':e.revision} for e in event_candidates]
candidate_inputs = [{'main_event_id': memberships.get(e.id), 'id': e.id, 'title': e.title, 'published_at': e.published_at.isoformat(), 'entities': e.entities, 'tags': e.tags, 'fact': e.fact, 'content_kind': e.content_kind} for e in candidates]
had_success = row.result is not None
previous_usage = row.usage
row.state = 'processing'; row.started_at = datetime.now(UTC); row.rules = rules; row.model = provider.model
await session.commit()
row_id = row.id
row_input = row.input
usages = []
try:
step('提取与归并新闻')
payload, usages = await grouping_payload(provider, system, {'id': row.id, **row.input}, candidate_inputs)
payload, usages = await grouping_payload(provider, system, {'id': row.id, **row.input}, candidate_inputs, event_inputs)
for attempt in range(2):
try:
result, usage = await complete(provider, system, payload, Grouping)
@@ -85,29 +94,35 @@ async def _analyze(target_id=None, frozen=None):
for match in result.packages:
if match.package_id is not None and match.package_id not in {e['id'] for e in payload['candidates']}:
raise ValueError('模型引用未知候选包')
if match.event.event_id is not None and match.event.event_id not in {e['id'] for e in payload['events']} | {e.get('main_event_id') for e in payload['candidates']}:
raise ValueError('模型引用未知候选事件')
validate_evidence([Evidence(article_id=row.id, quote=match.evidence)], {row.id: row.input})
break
except ValueError as error:
if attempt:
if attempt or getattr(error, "correction_attempted", False) or any(
isinstance(u, dict) and len(u.get("rounds", [])) > 1 for u in usages):
raise
if getattr(error,'usage',None): usages.append(error.usage)
payload = pack_candidates(provider, system, {**payload, 'correction': str(error)}, payload['candidates'])
step('校验并保存分包结果')
async with publication_lock:
# Check the article again before changing event membership.
current = await session.get(NewsItem, row.news_id, populate_existing=True)
if current.content_hash != row.content_hash:
row.state = 'superseded'; await session.commit(); return 'superseded'
if any(m.package_id is None for m in result.packages) and catalog != await session.scalar(select(func.max(NewsSummary.id))):
row.state = 'reprocess' if frozen else 'pending'; await session.commit(); return 'deferred'
row.state = 'superseded'; row.usage=accumulate_usage(previous_usage,{'attempts':usages}); await session.commit(); return 'superseded'
if (any(m.package_id is None for m in result.packages) and catalog != await session.scalar(select(func.max(NewsSummary.id)))) or (any(m.event.event_id is None for m in result.packages) and event_catalog != await session.scalar(select(func.max(NewsEvent.id)))):
row.state = 'reprocess' if frozen else 'pending'; row.usage=accumulate_usage(previous_usage,{'attempts':usages}); await session.commit(); return 'deferred'
now = datetime.now(UTC)
old_ids = select(SummaryArticle.summary_id).join(ArticleAnalysis).where(ArticleAnalysis.news_id == row.news_id)
old_events = (await session.scalars(select(NewsSummary).where(NewsSummary.id.in_(old_ids))
old_events = (await session.scalars(select(NewsSummary).where(NewsSummary.id.in_(old_ids), NewsSummary.replacement_ids==[], NewsSummary.state!="withdrawn")
.order_by(NewsSummary.id).with_for_update().execution_options(populate_existing=True))).all()
touched = {e.id: e for e in old_events}
previous_ids = set(touched)
await session.execute(update(SummaryArticle).where(SummaryArticle.analysis_id == row.id).values(active=False))
groups = {}
event_groups = {}
changed = set()
assigned = set()
for match in result.packages:
event = await session.get(NewsSummary, match.package_id, with_for_update=True, populate_existing=True) if match.package_id else groups.get(match.group_key)
if event is not None and (event.replacement_ids or event.state == 'withdrawn'):
@@ -129,20 +144,30 @@ async def _analyze(target_id=None, frozen=None):
if link is None:
link = SummaryArticle(summary_id=event.id, analysis_id=row.id); session.add(link)
link.active = True; link.unit = match.model_dump()
if match.change_kind != 'repost' or event.result is None or row.input['revision_no'] > 1:
if match.change_kind != 'repost' or event.revision == 0 or row.input['revision_no'] > 1:
changed.add(event.id)
touched[event.id] = event
if target_id or row.input['revision_no'] > 1:
changed.update(previous_ids)
assigned.add(event.id)
from alphapulse.news_risk.event_research import attach
await attach(session, event, match.event, event_groups, event.id in changed, match.urgent, frozen)
await session.flush()
changed.update(previous_ids - assigned)
if row.input['revision_no'] > 1: changed.update(previous_ids)
for event in touched.values():
if event.id in changed:
event.review_config = frozen
schedule(event, now, any(m.urgent for m in result.packages))
if frozen and frozen.get('request'):
from alphapulse.news_risk.backfill import target
await target(session, frozen['job_id'], 'analysis', event)
event.revision += 1
event.changed_at = now
event.state = 'done'
await session.flush()
active = await session.scalar(select(SummaryArticle.analysis_id).join(ArticleAnalysis).join(NewsItem).where(
SummaryArticle.summary_id==event.id, SummaryArticle.active.is_(True), ArticleAnalysis.content_hash==NewsItem.content_hash).limit(1))
if active is None: event.state='withdrawn'
# Removed/revised originals also invalidate the owning event.
if event.id in previous_ids - assigned:
from alphapulse.news_risk.events import dirty_event
await dirty_event(session, event.id, frozen)
session.add(GroupingVersion(analysis_id=row.id, input=row.input, result=result.model_dump(mode='json'), rules=rules, state='done'))
row.result = result.model_dump(mode='json'); row.usage = {'attempts': usages}; row.state = 'done'
row.result = result.model_dump(mode='json'); row.usage = accumulate_usage(previous_usage,{'attempts':usages}); row.state = 'done'
row.error = None; row.finished_at = now
await session.commit()
return 'done'
@@ -150,7 +175,7 @@ async def _analyze(target_id=None, frozen=None):
await session.rollback()
session.add(GroupingVersion(analysis_id=row_id, input=row_input, result=None, rules=rules, state='failed', error=str(error)[:2000]))
await session.execute(update(ArticleAnalysis).where(ArticleAnalysis.id == row_id).values(
state='done' if had_success else 'failed', error=str(error)[:2000], finished_at=datetime.now(UTC)))
state='done' if had_success else 'failed', error=str(error)[:2000], usage=accumulate_usage(previous_usage,{'attempts':usages,'failed':getattr(error,'usage',None)}), finished_at=datetime.now(UTC)))
await session.commit()
logger.exception('新闻初筛失败')
return 'failed'
@@ -180,9 +205,10 @@ async def summarize(target_id=None):
rows = (await session.scalars(select(ArticleAnalysis).join(SummaryArticle).join(NewsItem).where(
SummaryArticle.summary_id == event.id, SummaryArticle.active.is_(True), ArticleAnalysis.content_hash == NewsItem.content_hash,
ArticleAnalysis.state == 'done').order_by(ArticleAnalysis.id))).all()
articles = [{'id': r.id, **r.input} for r in rows]
articles = [{'id': r.id, 'news_id': r.news_id, 'content_hash': r.content_hash, **r.input} for r in rows]
package = {key: getattr(event, key) for key in ('id', 'title', 'fact', 'category', 'tags', 'content_kind', 'revision')}
package['previous'] = event.result
package['sources'] = [{'analysis_id': r.id, 'news_id': r.news_id, 'content_hash': r.content_hash} for r in rows]
if not articles:
from alphapulse.news_risk.events import dirty_event
await dirty_event(session, event.id, event.review_config)
@@ -202,7 +228,7 @@ async def summarize(target_id=None):
event.state = 'processing'
await session.commit()
identifier, event_id, revision = version.id, event.id, version.revision
research = Research()
research = Research(package)
evidence_rows = (await session.scalars(select(PackageEvidence).where(PackageEvidence.version_id == identifier).order_by(PackageEvidence.id))).all()
research.restore([r.data for r in evidence_rows])
await session.commit()
@@ -269,9 +295,11 @@ async def outlook(prepare_only=False):
if job and job.position < len(job.items):
if requested and requested.quotes.get('job_id') == job.id: return
job = None
if not inputs and latest is not None and job is None:
waiting = await session.scalar(select(NewsEvent.id).where(NewsEvent.updated_at >= now-timedelta(hours=72),
NewsEvent.state.in_(['pending','processing','failed']), NewsEvent.published_revision != NewsEvent.revision).limit(1))
if waiting is not None: return
if job:
from alphapulse.models.risk import NewsEvent
if await session.scalar(select(NewsSummary.id).where(NewsSummary.state.in_(['pending', 'processing', 'failed']), NewsSummary.review_config['job_id'].astext.cast(BigInteger) == job.id).limit(1)): return
if await session.scalar(select(NewsEvent.id).where(NewsEvent.state.in_(['pending', 'processing', 'failed']), NewsEvent.review_config['job_id'].astext.cast(BigInteger) == job.id).limit(1)): return
from alphapulse.news_risk.reprocess import frozen_configuration
provider, system, rules = await frozen_configuration(session, job.settings, 'outlook')
@@ -306,6 +334,7 @@ async def outlook(prepare_only=False):
snapshot = RiskSnapshot(state='processing', model=provider.model, quotes={'fingerprint': key, 'important': important, **({'job_id': job.id} if job else {})})
session.add(snapshot); await session.commit()
step('生成阅读与趋势', object_id=snapshot.id)
ranked, expansion = {}, {}
try:
main = [p for p in inputs if p['importance_stars'] >= 3]
low = [p for p in inputs if p['importance_stars'] < 3]
@@ -324,32 +353,21 @@ async def outlook(prepare_only=False):
snapshot.result = {**result, 'reading': ranked['reading'], 'expansion': extra, 'inputs': inputs, 'rules': rules,
'usage': ranked['usage']+result['usage'], 'expansion_usage': expansion['usage'], 'as_of': now.isoformat()}
step('保存阅读与趋势')
snapshot.state = 'done'
async with publication_lock:
fresh = await reading_inputs(session,datetime.now(UTC)-timedelta(hours=72))
snapshot.state = 'done' if briefing.semantic_packages(fresh)==briefing.semantic_packages(inputs) else 'superseded'
except Exception as error:
snapshot.state = 'failed'; snapshot.error = str(error)[:2000]
snapshot.quotes = {**snapshot.quotes, 'failed_usage': getattr(error, 'usage', None),
'completed_usage': ranked.get('usage', []) + expansion.get('usage', [])}
logger.exception('阅读编排失败')
if requested: requested.quotes = {k: v for k, v in requested.quotes.items() if k != 'retry_requested'}
await session.commit()
async def main():
async with engine.connect() as lock:
if not await lock.scalar(text('SELECT pg_try_advisory_lock(20261030, 1)')):
raise RuntimeError('新闻AI worker 已运行')
async with SessionLocal() as session:
await session.execute(update(ArticleAnalysis).where(ArticleAnalysis.state == 'processing').values(state='pending'))
await session.execute(update(NewsSummary).where(NewsSummary.state == 'processing').values(state='pending'))
await session.execute(update(SummaryVersion).where(SummaryVersion.state == 'processing').values(state='pending'))
await session.commit()
await session.execute(update(RiskSnapshot).where(RiskSnapshot.state == 'processing').values(state='failed', error='进程中断,请重试'))
await session.commit()
from alphapulse.models.risk import NewsEvent, EventVersion
async with SessionLocal() as session:
await session.execute(update(NewsEvent).where(NewsEvent.state == 'processing').values(state='pending'))
await session.execute(update(EventVersion).where(EventVersion.state == 'processing').values(state='failed', error='进程中断'))
await session.commit()
from alphapulse.news_risk.scheduler import run
await run(lock)
from alphapulse.news_research.worker import run
await run()
if __name__ == '__main__':