34047007@qq.com
a6cd99a4ca
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.
30 lines
1.5 KiB
Python
30 lines
1.5 KiB
Python
"""Check citation refresh status after background run"""
|
|
import asyncio, sys
|
|
from sqlalchemy import text
|
|
from sqlalchemy.ext.asyncio import create_async_engine
|
|
|
|
DB = 'postgresql+asyncpg://scilit:scilit_prod_2026@postgres:5432/scilit'
|
|
|
|
async def main():
|
|
engine = create_async_engine(DB)
|
|
async with engine.connect() as c:
|
|
r = await c.execute(text("SELECT COUNT(*) FROM global_literature WHERE cited_by_count > 0"))
|
|
print(f'Articles with citations > 0: {r.scalar()}')
|
|
r = await c.execute(text("SELECT COUNT(*) FROM global_literature WHERE cited_by_count IS NOT NULL"))
|
|
checked = r.scalar()
|
|
total = (await c.execute(text("SELECT COUNT(*) FROM global_literature"))).scalar()
|
|
print(f'Total checked: {checked}')
|
|
print(f'Total records: {total}')
|
|
print(f'Progress: {checked}/{total} ({(checked/total*100) if total else 0:.1f}%)')
|
|
r = await c.execute(text("SELECT cited_by_count, COUNT(*) FROM global_literature WHERE cited_by_count > 0 GROUP BY cited_by_count ORDER BY cited_by_count DESC LIMIT 5"))
|
|
print('Top 5 citation counts:')
|
|
for row in r:
|
|
print(f' cited_by_count={row[0]}: {row[1]}')
|
|
r = await c.execute(text("SELECT pmid, cited_by_count FROM global_literature WHERE cited_by_count > 0 ORDER BY cited_by_count DESC LIMIT 10"))
|
|
print('Most cited articles:')
|
|
for row in r:
|
|
print(f' PMID={row.pmid}: {row.cited_by_count}')
|
|
await engine.dispose()
|
|
|
|
asyncio.run(main())
|