wangwei
e89695e490
- 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>
17 lines
500 B
Python
17 lines
500 B
Python
"""Route for discovering scenario YAML files that can be evaluated."""
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from __future__ import annotations
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from fastapi import APIRouter
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from webapp.services import scenario_scanner
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router = APIRouter(prefix="/api/scenarios", tags=["scenarios"])
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@router.get("")
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def get_scenarios() -> dict[str, list]:
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"""Return every scenario file found under the scenarios/ directory."""
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scenarios = scenario_scanner.list_scenarios()
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return {"scenarios": [item.model_dump() for item in scenarios]}
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