- Fix bbox format detection in pdf_image_extractor (support Rect and tuple)
- Update date display format to include year (%Y-%m-%d) across templates
- Increase SUMMARY_MAX_RETRIES from 1 to 2 for better error recovery
- Widen date input field for better usability
- PDF extractor: rewrite from embedded bitmap extraction to caption-based
page region screenshots. Finds Figure/Table captions via regex,截取上方/下方
page region, handles compound figures and vector graphics.
- Upvote refresh: new crawler.refresh_upvotes() re-fetches upvotes for recent
N days without inserting new papers. Scheduler runs daily 30min after pipeline.
- Admin: add /admin/refresh-upvotes endpoint and dashboard button.
- UI: remove date quick nav, show upvote update time on detail/card pages,
clean up CSS date-chip styles.
- Utils: add recent_date_strs() helper.
- Replace image_extractor with pdf_image_extractor service
- Enhance pi_client with expanded API capabilities
- Improve summarizer service with additional features
- Update admin routes with more endpoints
- Add login page template
- Enhance detail page with comprehensive layout
- Improve search and trends pages
- Update base template with additional elements
- Refactor tests for better coverage
- Add validate_summary script
- Update project configuration and dependencies
- Add POST /admin/crawl with TaskLock-based reentrancy guard
- Add POST /admin/cleanup (tmp files older than 24h) with CrawlLog
- Add POST /admin/delete with date range and 'DELETE' confirm token
- Add GET /admin/logs (paginated CrawlLog + DataDeleteJob viewer)
- Add app/services/cleaner.py (cleanup_tmp, delete_papers_by_date_range)
- Add app/services/scheduler.py (APScheduler daily crawl/cleanup jobs)
- Wire scheduler startup/shutdown hooks in app/main.py
- Add admin nav link in base.html and APP_HOST security warning
- Add apscheduler>=3.10 dependency
- Add tests/test_admin_phase4.py covering the new endpoints
- Add FastAPI app with paper browsing UI and REST API
- Add crawler service and database models
- Add scripts for DB init and manual crawl
- Add docs (api-and-ui, data-model, services)
- Add requirements and project config
Rain-Bus