Commit Graph

4 Commits

Author SHA1 Message Date
wangwei
4fd515d2d9 feat: async score jobs — POST /api/score/async + 评分记录 page
Each async score job:
- Runs InlineScorer.score() in thread pool
- Writes standard run artifacts (metadata.json, scores.csv, summary.md)
- Runs optimization_advisor => optimization_advice.md
- Result appears in 运行列表 and 报告详情 with full report

New endpoints:
- POST /api/score/async  (202, job_id immediate)
- GET  /api/score/jobs   (list all jobs)
- GET  /api/score/jobs/{id} (single job status)

Frontend:
- 评分记录 nav page with card list
- 5s auto-polling for queued/running jobs
- 查看报告 button navigates to existing 报告详情 page

Dify: change /api/score -> /api/score/async, no response parsing needed

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-24 17:24:22 +08:00
wangwei
1dc7ab9727 fix: restore LLM profile test connectivity buttons (lost from git)
Frontend test functionality was implemented but never committed to git.
Re-adds:
- profiles.js: testCard(), testForm(), _showTestResult(), test btn in renderCard
- api.js: testProfile(id) and probeConnectivity(body) methods
- index.html: 测试连通性 button + result div in profile form
- app.css: .btn-test and .profile-test-result styles

Backend /probe and /{id}/test endpoints were already present in llm_profiles.py.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-23 13:58:43 +08:00
wangwei
dc8baf8662 feat: add LLM配置 management page (profiles view) 2026-06-16 16:25:20 +08:00
wangwei
e89695e490 Add RAGAS evaluation web console (FastAPI + vanilla JS)
- webapp/: FastAPI backend with runs/scenarios/evaluations API routers;
  services for run_reader, report_builder, scenario_scanner, task_manager
  (lazy ragas import — server boots even without ragas); Pydantic models
- webapp/static/: single-page console (layout A: left-nav + main area);
  report detail with metric cards, Chart.js distribution histogram,
  grouping table, lowest-score sample review; trigger evaluation + log polling
- webmain.py: uvicorn entry point (alongside existing main.py CLI)
- start.bat: Windows one-click launcher with env checks and auto-browser open
- rag_eval/datasets/: implement missing loader + normalizer modules
  (load_dataset_records, normalize_records) required by evaluator
- scripts/seed_sample_run.py: generate realistic demo run artifacts
- .gitignore: exclude datasets/ data files but keep rag_eval/datasets/ source

Co-Authored-By: Claude Sonnet 4 <noreply@anthropic.com>
2026-06-15 15:53:57 +08:00