wangwei
1304fec1c4
fix: change ScoreRequest json_schema_extra from examples list to example dict
...
Swagger UI Try it out was sending the {summary, value} wrapper as request body
instead of just the value contents, causing 422 errors. The 'example' (singular)
key is correctly used as the schema-level example by Swagger UI.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com >
2026-06-23 10:03:46 +08:00
wangwei
761faf9c42
feat: add ScoreRequest/ScoreResponse models and SCORE_API_TOKEN setting
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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com >
2026-06-22 15:00:05 +08:00
wangwei
835614189e
feat: ScenarioInfo exposes metric_weights and doc_weights from YAML
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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com >
2026-06-18 17:05:26 +08:00
wangwei
ce0d2291b0
feat: yaml_patcher and ProfileApplyRequest support metric_weights and doc_weights
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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com >
2026-06-18 17:02:21 +08:00
wangwei
91c0dab4f9
fix(advisor): fix LLM API call, wire advice_markdown to webapp, update .env.example timeouts
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- llm_analyzer.py: use llm.langchain_llm.ainvoke() (correct RAGAS 0.4.3 API)
- webapp/models.py: add advice_markdown field to ReportData
- webapp/services/run_reader.py: add read_advice_markdown() reading optimization_advice.md
- webapp/services/report_builder.py: pass advice_markdown into ReportData
- .env.example: OPENAI_TIMEOUT_SECONDS 30→180, RAGAS_METRIC_TIMEOUT_SECONDS 45→300
Co-Authored-By: Claude <noreply@anthropic.com >
2026-06-16 17:12:32 +08:00
wangwei
b98af29449
feat: add LLMProfile pydantic models
2026-06-16 16:10:37 +08:00
wangwei
e89695e490
Add RAGAS evaluation web console (FastAPI + vanilla JS)
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- 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
