feat: initial commit - oncology literature search platform
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OncoLit: a multi-tenant oncology literature search, feed, and
collaboration platform. Built with FastAPI + Vue 3 + PostgreSQL.
Includes PubMed pipeline, drug approvals, AI summaries, and
systematic review tools.
This commit is contained in:
34047007@qq.com
2026-07-27 07:59:18 +08:00
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"""Additional integrity checks"""
import asyncio
from sqlalchemy import text
from sqlalchemy.ext.asyncio import create_async_engine
DATABASE_URL = 'postgresql+asyncpg://scilit:scilit_prod_2026@postgres:5432/scilit'
async def main():
engine = create_async_engine(DATABASE_URL)
async with engine.connect() as conn:
# 1. Records where article_date has real month/day but pub_date is Jan-01
r = await conn.execute(text("""
SELECT id, pmid, pub_date, article_date FROM global_literature
WHERE EXTRACT(MONTH FROM pub_date)=1 AND EXTRACT(DAY FROM pub_date)=1
AND article_date IS NOT NULL
AND NOT (EXTRACT(MONTH FROM article_date)=1 AND EXTRACT(DAY FROM article_date)=1)
LIMIT 20
"""))
print('=== Records where article_date can fix pub_date ===')
for row in r:
print(f' pmid={row.pmid} pub_date={row.pub_date} article_date={row.article_date}')
# 2. Check for records with NULL pub_year but valid pub_date
r = await conn.execute(text("""
SELECT COUNT(*) FROM global_literature
WHERE pub_date IS NOT NULL AND pub_year IS NULL
"""))
print(f'\npub_date set but pub_year NULL: {r.scalar()}')
# 3. Check for records with NULL pub_date but valid pub_year
r = await conn.execute(text("""
SELECT COUNT(*) FROM global_literature
WHERE pub_date IS NULL AND pub_year IS NOT NULL
"""))
print(f'pub_year set but pub_date NULL: {r.scalar()}')
# 4. Check if there are records WITHOUT any date info at all
r = await conn.execute(text("""
SELECT COUNT(*) FROM global_literature
WHERE pub_date IS NULL AND pub_year IS NULL AND article_date IS NULL
"""))
print(f'No date info at all: {r.scalar()}')
# 5. Latest literature records - sample top 10 for sanity check
r = await conn.execute(text("""
SELECT pmid, pub_date, pub_year, title FROM global_literature
ORDER BY pub_year DESC NULLS LAST, pmid DESC LIMIT 5
"""))
print('\n=== Latest 5 records ===')
for row in r:
title_short = (row.title or '')[:60]
print(f' PMID={row.pmid} date={row.pub_date} year={row.pub_year} title={title_short}...')
# 6. Check for records that are in user_feed but patient hasn't been generated
r = await conn.execute(text("""
SELECT COUNT(*) FROM user_feed uf
WHERE NOT EXISTS (SELECT 1 FROM global_literature gl WHERE gl.id = uf.literature_id)
"""))
print(f'\nUserFeed pointing to non-existent literature: {r.scalar()}')
await engine.dispose()
asyncio.run(main())